repo_id
stringlengths 15
132
| file_path
stringlengths 34
176
| content
stringlengths 2
3.52M
| __index_level_0__
int64 0
0
|
|---|---|---|---|
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/nodes_names_duplicated/another_stringify_num.py | from promptflow import tool
@tool
def stringify_num(num: int):
return str(num)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/nodes_names_duplicated/flow.dag.yaml | inputs:
num:
type: int
outputs:
content:
type: string
reference: ${stringify_num.output}
nodes:
- name: stringify_num
type: python
source:
type: code
path: stringify_num.py
inputs:
num: ${inputs.num}
- name: stringify_num
type: python
source:
type: code
path: another_stringify_num.py
inputs:
num: ${inputs.num}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/wrong_api/summarize_text_content__variant_1.jinja2 | Please summarize some keywords of this paragraph and have some details of each keywords.
Do not add any information that is not in the text.
Text: {{text}}
Summary:
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/wrong_api/flow.dag.yaml | inputs:
text:
type: string
outputs:
output:
type: string
reference: ${summarize_text_content.output}
nodes:
- name: summarize_text_content
type: llm
source:
type: code
path: summarize_text_content__variant_1.jinja2
inputs:
deployment_name: text-davinci-003
suffix: ''
max_tokens: '256'
temperature: '0.2'
top_p: '1.0'
logprobs: ''
echo: 'False'
stop: ''
presence_penalty: '0'
frequency_penalty: '0'
best_of: '1'
logit_bias: ''
text: ${inputs.text}
provider: AzureOpenAI
connection: azure_open_ai_connection
api: completion_1
module: promptflow.tools.aoai
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/aggregation_activate_reference_non_aggregation/flow.dag.yaml | inputs:
groundtruth:
type: string
prediction:
type: string
outputs:
grade:
type: string
reference: ${grade.output}
nodes:
- name: grade
type: python
source:
type: code
path: grade.py
inputs:
groundtruth: ${inputs.groundtruth}
prediction: ${inputs.prediction}
- name: calculate_accuracy
type: python
source:
type: code
path: calculate_accuracy.py
inputs:
grades: ${grade.output}
activate:
when: ${grade.output}
is: 1
aggregation: true
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/node_missing_type_or_source/divide_num.py | from promptflow import tool
@tool
def divide_num(num: int) -> int:
return (int)(num / 2)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/node_missing_type_or_source/flow.dag.yaml | inputs:
num:
type: int
outputs:
content:
type: string
reference: ${divide_num.output}
nodes:
- name: divide_num
source:
type: code
path: divide_num.py
inputs:
num: ${inputs.num}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/invalid_activate_config/flow.dag.yaml | inputs:
num:
type: int
outputs:
content:
type: string
reference: ${divide_num.output}
nodes:
- name: divide_num
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${inputs.num}
activate:
when: ${inputs.num} > 0 | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/wrong_package_in_package_tools/flow.dag.yaml | inputs:
text:
type: string
outputs:
output:
type: string
reference: ${search_by_text.output.search_metadata}
nodes:
- name: search_by_text
type: python
source:
type: package
tool: promptflow.tools.serpapi11.SerpAPI.search
inputs:
connection: serp_connection
query: ${inputs.text}
num: 1 | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/source_file_missing/flow.dag.jinja.yaml | inputs:
text:
type: string
outputs:
output_text:
type: string
reference: ${summarize_text_content.output}
nodes:
- name: summarize_text_content
type: llm
source:
type: code
path: summarize_text_content__variant_1.jinja2
inputs:
deployment_name: gpt-35-turbo
suffix: ''
max_tokens: '256'
temperature: '0.2'
top_p: '1.0'
logprobs: ''
echo: 'False'
stop: ''
presence_penalty: '0'
frequency_penalty: '0'
best_of: '1'
logit_bias: ''
text: ${inputs.text}
provider: AzureOpenAI
connection: azure_open_ai_connection
api: completion
module: promptflow.tools.aoai
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/source_file_missing/flow.dag.python.yaml | inputs:
num:
type: int
outputs:
content:
type: string
reference: ${stringify_num.output}
nodes:
- name: stringify_num
type: python
source:
type: code
path: stringify_num.py
inputs:
num: ${inputs.num}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/nodes_cycle/flow.dag.yaml | name: node_cycle
inputs:
text:
type: string
outputs:
result:
type: string
reference: ${second_node}
nodes:
- name: first_node
type: python
source:
type: code
path: test.py
inputs:
text: ${second_node}
aggregation: true
- name: second_node
type: python
source:
type: code
path: test.py
inputs:
text: ${first_node}
aggregation: true
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/invalid_connection/summarize_text_content__variant_1.jinja2 | Please summarize some keywords of this paragraph and have some details of each keywords.
Do not add any information that is not in the text.
Text: {{text}}
Summary:
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/invalid_connection/flow.dag.yaml | inputs:
text:
type: string
outputs:
output:
type: string
reference: ${summarize_text_content.output}
nodes:
- name: summarize_text_content
type: llm
source:
type: code
path: summarize_text_content__variant_1.jinja2
inputs:
deployment_name: gpt-35-turbo
suffix: ''
max_tokens: '256'
temperature: '0.2'
top_p: '1.0'
logprobs: ''
echo: 'False'
stop: ''
presence_penalty: '0'
frequency_penalty: '0'
best_of: '1'
logit_bias: ''
text: ${inputs.text}
provider: AzureOpenAI
connection: azure_open_ai_connection_111
api: completion
module: promptflow.tools.aoai
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/nodes_cycle_with_activate/flow.dag.yaml | name: node_cycle_with_activate
inputs:
text:
type: string
outputs:
result:
type: string
reference: ${second_node}
nodes:
- name: first_node
type: python
source:
type: code
path: test.py
inputs:
text: ${inputs.text}
activate:
when: ${second_node.output}
is: true
aggregation: true
- name: second_node
type: python
source:
type: code
path: test.py
inputs:
text: ${first_node}
aggregation: true
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/non_aggregation_reference_aggregation/flow.dag.yaml | inputs:
groundtruth:
type: string
prediction:
type: string
outputs:
grade:
type: string
reference: ${grade.output}
nodes:
- name: grade
type: python
source:
type: code
path: grade.py
inputs:
groundtruth: ${inputs.groundtruth}
prediction: ${inputs.prediction}
- name: calculate_accuracy
type: python
source:
type: code
path: calculate_accuracy.py
inputs:
grades: ${grade.output}
aggregation: true
- name: test_node
type: python
source:
type: code
path: test_node.py
inputs:
input1: ${calculate_accuracy.output}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_llm_with_wrong_conn/wrong_llm.jinja2 | system:
You are a helpful assistant.
user:
{{question}}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_llm_with_wrong_conn/flow.dag.yaml | inputs: {}
outputs: {}
nodes:
- name: wrong_llm
type: llm
source:
type: code
path: wrong_llm.jinja2
inputs: {}
connection: custom_connection
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/wrong_module/summarize_text_content__variant_1.jinja2 | Please summarize some keywords of this paragraph and have some details of each keywords.
Do not add any information that is not in the text.
Text: {{text}}
Summary:
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/wrong_module/flow.dag.yaml | inputs:
text:
type: string
outputs:
output:
type: string
reference: ${summarize_text_content.output}
nodes:
- name: summarize_text_content
type: llm
source:
type: code
path: summarize_text_content__variant_1.jinja2
inputs:
deployment_name: gpt-35-turbo
suffix: ''
max_tokens: '256'
temperature: '0.2'
top_p: '1.0'
logprobs: ''
echo: 'False'
stop: ''
presence_penalty: '0'
frequency_penalty: '0'
best_of: '1'
logit_bias: ''
text: ${inputs.text}
provider: AzureOpenAI
connection: azure_open_ai_connection
api: completion
module: promptflow.tools.aoai.11
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_output_reference_invalid/divide_num.py | from promptflow import tool
@tool
def divide_num(num: int) -> int:
return (int)(num / 2)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_output_reference_invalid/flow.dag.yaml | inputs:
num:
type: int
outputs:
content:
type: string
reference: ""
nodes:
- name: divide_num
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${inputs.num}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/node_condition_conflict/flow.dag.yaml | name: node_condition_conflict
inputs:
text:
type: string
outputs:
result:
type: string
reference: ${test_node}
nodes:
- name: test_node
type: python
source:
type: code
path: test.py
inputs:
text: ${inputs.text}
skip:
when: ${inputs.text}
is: true
return: ${inputs.text}
activate:
when: ${inputs.text}
is: true | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/node_circular_dependency/divide_num.py | from promptflow import tool
@tool
def divide_num(num: int) -> int:
return (int)(num / 2)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/node_circular_dependency/flow.dag.yaml | inputs:
outputs:
content:
type: string
reference: ${divide_num.output}
nodes:
- name: divide_num
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${divide_num_2.output}
- name: divide_num_1
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${divide_num.output}
- name: divide_num_2
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${divide_num_1.output}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_output_unserializable/divide_num.py | from promptflow import tool
@tool
def divide_num(num: int):
return UnserializableClass(num=(int)(num / 2))
class UnserializableClass:
def __init__(self, num: int):
self.num = num
def __str__(self):
return str(self.num) | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_output_unserializable/flow.dag.yaml | inputs:
num:
type: int
outputs:
content:
type: string
reference: ${divide_num.output}
nodes:
- name: divide_num
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${inputs.num}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_input_reference_invalid/divide_num.py | from promptflow import tool
@tool
def divide_num(num: int) -> int:
return (int)(num / 2)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/flow_input_reference_invalid/flow.dag.yaml | inputs:
num:
type: int
outputs:
content:
type: string
reference: ${divide_num.output}
nodes:
- name: divide_num
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${inputs.num_1}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/node_reference_not_found/divide_num.py | from promptflow import tool
@tool
def divide_num(num: int) -> int:
return (int)(num / 2)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/node_reference_not_found/flow.dag.yaml | inputs:
num:
type: int
outputs:
content:
type: string
reference: ${divide_num.output}
nodes:
- name: divide_num
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${inputs.num}
- name: divide_num_1
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${divide_num.output}
- name: divide_num_2
type: python
source:
type: code
path: divide_num.py
inputs:
num: ${divide_num_3.output}
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/wrong_tool_in_package_tools/flow.dag.yaml | inputs:
text:
type: string
outputs:
output:
type: string
reference: ${search_by_text.output.search_metadata}
nodes:
- name: search_by_text
type: python
source:
type: package
tool: promptflow.tools.serpapi.SerpAPI.search_11
inputs:
connection: serp_connection
query: ${inputs.text}
num: 1 | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/wrong_provider/summarize_text_content__variant_1.jinja2 | Please summarize some keywords of this paragraph and have some details of each keywords.
Do not add any information that is not in the text.
Text: {{text}}
Summary:
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_flows/wrong_provider/flow.dag.yaml | inputs:
text:
type: string
outputs:
output:
type: string
reference: ${summarize_text_content.output}
nodes:
- name: summarize_text_content
type: llm
source:
type: code
path: summarize_text_content__variant_1.jinja2
inputs:
deployment_name: gpt-35-turbo
suffix: ''
max_tokens: '256'
temperature: '0.2'
top_p: '1.0'
logprobs: ''
echo: 'False'
stop: ''
presence_penalty: '0'
frequency_penalty: '0'
best_of: '1'
logit_bias: ''
text: ${inputs.text}
provider: AzureOpenAI_11
connection: azure_open_ai_connection
api: completion
module: promptflow.tools.aoai
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_tools/no_end.jinja2 | {% for val in values %}
{{val}} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_tools/load_error.py | from promptflow import tool
1 / 0
@tool
def tool1():
pass
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/wrong_tools/multiple_tools.py | from promptflow import tool
@tool
def tool1():
pass
@tool
def tool2():
pass
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/azure_openai_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/AzureOpenAIConnection.schema.json
name: my_azure_open_ai_connection
type: azure_open_ai # snake case
api_key: "<to-be-replaced>"
api_base: "aoai-api-endpoint"
api_type: "azure"
api_version: "2023-07-01-preview"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/update_custom_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/CustomConnection.schema.json
name: my_custom_connection
type: custom
configs:
key1: "new_value"
secrets: # must-have
key2: "******" # Use the scrub value to test key2 not being updated
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/qdrant_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/QdrantConnection.schema.json
name: my_qdrant_connection
type: qdrant
api_key: "<to-be-replaced>"
api_base: "endpoint"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/openai_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/OpenAIConnection.schema.json
name: my_open_ai_connection
type: open_ai
api_key: "<to-be-replaced>"
organization: "org"
base_url: "" | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/form_recognizer_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/FormRecognizerConnection.schema.json
name: my_form_recognizer_connection
type: form_recognizer
api_key: "<to-be-replaced>"
endpoint: "endpoint"
api_version: "2023-07-31"
api_type: Form Recognizer
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/cognitive_search_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/CognitiveSearchConnection.schema.json
name: my_cognitive_search_connection
type: cognitive_search # snake case
api_key: "<to-be-replaced>"
api_base: "endpoint"
api_version: "2023-07-01-Preview"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/custom_strong_type_connection.yaml | name: my_custom_strong_type_connection
type: custom
custom_type: MyFirstConnection
module: my_tool_package.connections
package: test-custom-tools
package_version: 0.0.2
configs:
api_base: "This is my first connection."
secrets: # must-have
api_key: "<to-be-replaced>" | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/weaviate_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/WeaviateConnection.schema.json
name: my_weaviate_connection
type: weaviate
api_key: "<to-be-replaced>"
api_base: "endpoint"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/azure_content_safety_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/AzureContentSafetyConnection.schema.json
name: my_azure_content_safety_connection
type: azure_content_safety # snake case
api_key: "<to-be-replaced>"
endpoint: "endpoint"
api_version: "2023-04-30-preview"
api_type: Content Safety
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/openai_connection_base_url.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/OpenAIConnection.schema.json
name: my_open_ai_connection
type: open_ai
api_key: "<to-be-replaced>"
organization: "org"
base_url: custom_base_url
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/update_azure_openai_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/AzureOpenAIConnection.schema.json
name: my_azure_open_ai_connection
type: azure_open_ai # snake case
api_key: "******" # Use the scrub value to test key2 not being updated
api_base: "new_value"
api_type: "azure"
api_version: "2023-07-01-preview"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/.env | aaa=bbb
ccc=ddd
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/serp_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/SerpConnection.schema.json
name: my_serp_connection
type: serp
api_key: "<to-be-replaced>"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/custom_connection.yaml | $schema: https://azuremlschemas.azureedge.net/promptflow/latest/CustomConnection.schema.json
name: my_custom_connection
type: custom
configs:
key1: "test1"
secrets: # must-have
key2: "test2"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/connections/update_custom_strong_type_connection.yaml | name: my_custom_strong_type_connection
type: custom
custom_type: MyFirstConnection
module: my_tool_package.connections
package: test-custom-tools
package_version: 0.0.2
configs:
api_base: "new_value"
secrets: # must-have
api_key: "******" | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_with_generated_by_input.py | from typing import Union
from promptflow import tool
from promptflow._core.tool import InputSetting, DynamicList, GeneratedBy
from typing import Dict, List
from promptflow.connections import AzureOpenAIConnection, OpenAIConnection, CognitiveSearchConnection
def generate_index_json(
index_type: str,
index: str = "",
index_connection: CognitiveSearchConnection = "",
index_name: str = "",
content_field: str = "",
embedding_field: str = "",
metadata_field: str = "",
semantic_configuration: str = "",
embedding_connection: Union[AzureOpenAIConnection, OpenAIConnection] = "",
embedding_deployment: str = ""
) -> str:
"""This is a dummy function to generate a index json based on the inputs.
"""
import json
inputs = ""
if index_type == "Azure Cognitive Search":
# 1. Call to create a new index
# 2. Call to get the index yaml and return as a json
inputs = {
"index_type": index_type,
"index": "retrieved_index",
"index_connection": index_connection,
"index_name": index_name,
"content_field": content_field,
"embedding_field": embedding_field,
"metadata_field": metadata_field,
"semantic_configuration": semantic_configuration,
"embedding_connection": embedding_connection,
"embedding_deployment": embedding_deployment
}
elif index_type == "Workspace MLIndex":
# Call to get the index yaml and return as a json
inputs = {
"index_type": index_type,
"index": index,
"index_connection": "retrieved_index_connection",
"index_name": "retrieved_index_name",
"content_field": "retrieved_content_field",
"embedding_field": "retrieved_embedding_field",
"metadata_field": "retrieved_metadata_field",
"semantic_configuration": "retrieved_semantic_configuration",
"embedding_connection": "retrieved_embedding_connection",
"embedding_deployment": "retrieved_embedding_deployment"
}
result = json.dumps(inputs)
return result
def reverse_generate_index_json(index_json: str) -> Dict:
"""This is a dummy function to generate origin inputs from index_json.
"""
import json
# Calculate the UI inputs based on the index_json
result = json.loads(index_json)
return result
def list_index_types(subscription_id, resource_group_name, workspace_name) -> List[str]:
return [
{"value": "Azure Cognitive Search"},
{"value": "PineCone"},
{"value": "FAISS"},
{"value": "Workspace MLIndex"},
{"value": "MLIndex from path"}
]
def list_indexes(
subscription_id,
resource_group_name,
workspace_name
) -> List[Dict[str, Union[str, int, float, list, Dict]]]:
import random
words = ["apple", "banana", "cherry", "date", "elderberry", "fig", "grape", "honeydew", "kiwi", "lemon"]
result = []
for i in range(10):
random_word = f"{random.choice(words)}{i}"
cur_item = {
"value": random_word,
"display_value": f"index_{random_word}",
"hyperlink": f'https://www.bing.com/search?q={random_word}',
"description": f"this is {i} item",
}
result.append(cur_item)
return result
def list_fields(subscription_id, resource_group_name, workspace_name) -> List[str]:
return [
{"value": "id"},
{"value": "content"},
{"value": "catelog"},
{"value": "sourcepage"},
{"value": "sourcefile"},
{"value": "title"},
{"value": "content_hash"},
{"value": "meta_json_string"},
{"value": "content_vector_open_ai"}
]
def list_semantic_configuration(subscription_id, resource_group_name, workspace_name) -> List[str]:
return [{"value": "azureml-default"}]
def list_embedding_deployment(embedding_connection: str) -> List[str]:
return [{"value": "text-embedding-ada-002"}, {"value": "ada-1k-tpm"}]
generated_by_settings = GeneratedBy(
function=generate_index_json,
reverse_function=reverse_generate_index_json,
input_settings={
"index_type": InputSetting(
dynamic_list=DynamicList(function=list_index_types)
),
"index": InputSetting(
enabled_by="index_type",
enabled_by_value=["Workspace MLIndex"],
dynamic_list=DynamicList(function=list_indexes)
),
"index_connection": InputSetting(
enabled_by="index_type",
enabled_by_value=["Azure Cognitive Search"],
),
"index_name": InputSetting(
enabled_by="index_type",
enabled_by_value=["Azure Cognitive Search"],
),
"content_field": InputSetting(
enabled_by="index_type",
enabled_by_value=["Azure Cognitive Search"],
dynamic_list=DynamicList(function=list_fields),
),
"embedding_field": InputSetting(
enabled_by="index_type",
enabled_by_value=["Azure Cognitive Search"],
dynamic_list=DynamicList(function=list_fields),
),
"metadata_field": InputSetting(
enabled_by="index_type",
enabled_by_value=["Azure Cognitive Search"],
dynamic_list=DynamicList(function=list_fields),
),
"semantic_configuration": InputSetting(
enabled_by="index_type",
enabled_by_value=["Azure Cognitive Search"],
dynamic_list=DynamicList(function=list_semantic_configuration),
),
"embedding_connection": InputSetting(
enabled_by="index_type",
enabled_by_value=["Azure Cognitive Search"],
),
"embedding_deployment": InputSetting(
enabled_by="index_type",
enabled_by_value=["Azure Cognitive Search"],
dynamic_list=DynamicList(
function=list_embedding_deployment,
input_mapping={"embedding_connection": "embedding_connection"}
),
),
},
)
@tool(
name="Tool with Generated By Input",
description="This is a tool with generated by input",
input_settings={
"index_json": InputSetting(generated_by=generated_by_settings)
},
)
def my_tool(index_json: str, queries: str, top_k: int) -> str:
return f"Hello {index_json}"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_with_file_path_input.py | import importlib
from pathlib import Path
from promptflow._core.tool import tool
from promptflow.contracts.types import FilePath
@tool(name="Tool with FilePath Input", description="This is a tool to demonstrate the usage of FilePath input")
def my_tool(input_file: FilePath, input_text: str) -> str:
# customise your own code to handle and use the input_file here
new_module = importlib.import_module(Path(input_file).stem)
return new_module.hello(input_text)
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/invalid_tool.py | from enum import Enum
from promptflow.entities import InputSetting
from promptflow import tool
class UserType(str, Enum):
STUDENT = "student"
TEACHER = "teacher"
@tool(name=1, description=1)
def invalid_schema_type(input1: str) -> str:
return 'hello ' + input1
@tool(
name="invalid_input_settings",
description="This is my tool with enabled by value",
input_settings={
"teacher_id": InputSetting(enabled_by="invalid_input", enabled_by_value=[UserType.TEACHER]),
"student_id": InputSetting(enabled_by="invalid_input", enabled_by_value=[UserType.STUDENT]),
}
)
def invalid_input_settings(user_type: UserType, student_id: str = "", teacher_id: str = "") -> str:
pass
@tool(name="invalid_tool_icon", icon="mock_icon_path", icon_dark="mock_icon_path", icon_light="mock_icon_path")
def invalid_tool_icon(input1: str) -> str:
return 'hello ' + input1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/expected_generated_by_meta.json | {
"test_tool.tool_with_generated_by_input.my_tool": {
"name": "Tool with Generated By Input",
"type": "python",
"inputs": {
"index_json": {
"type": [
"string"
],
"generated_by": {
"func_path": "test_tool.tool_with_generated_by_input.generate_index_json",
"func_kwargs": [
{
"name": "index_type",
"type": [
"string"
],
"reference": "${inputs.index_type}",
"optional": false
},
{
"name": "index",
"type": [
"string"
],
"reference": "${inputs.index}",
"optional": true
},
{
"name": "index_connection",
"type": [
"CognitiveSearchConnection"
],
"reference": "${inputs.index_connection}",
"optional": true
},
{
"name": "index_name",
"type": [
"string"
],
"reference": "${inputs.index_name}",
"optional": true
},
{
"name": "content_field",
"type": [
"string"
],
"reference": "${inputs.content_field}",
"optional": true
},
{
"name": "embedding_field",
"type": [
"string"
],
"reference": "${inputs.embedding_field}",
"optional": true
},
{
"name": "metadata_field",
"type": [
"string"
],
"reference": "${inputs.metadata_field}",
"optional": true
},
{
"name": "semantic_configuration",
"type": [
"string"
],
"reference": "${inputs.semantic_configuration}",
"optional": true
},
{
"name": "embedding_connection",
"type": [
"AzureOpenAIConnection",
"OpenAIConnection"
],
"reference": "${inputs.embedding_connection}",
"optional": true
},
{
"name": "embedding_deployment",
"type": [
"string"
],
"reference": "${inputs.embedding_deployment}",
"optional": true
}
],
"reverse_func_path": "test_tool.tool_with_generated_by_input.reverse_generate_index_json"
}
},
"queries": {
"type": [
"string"
]
},
"top_k": {
"type": [
"int"
]
},
"index_type": {
"dynamic_list": {
"func_path": "test_tool.tool_with_generated_by_input.list_index_types"
},
"type": [
"string"
],
"input_type": "uionly_hidden"
},
"index": {
"enabled_by": "index_type",
"enabled_by_value": [
"Workspace MLIndex"
],
"dynamic_list": {
"func_path": "test_tool.tool_with_generated_by_input.list_indexes"
},
"type": [
"string"
],
"input_type": "uionly_hidden"
},
"index_connection": {
"enabled_by": "index_type",
"enabled_by_value": [
"Azure Cognitive Search"
],
"type": [
"CognitiveSearchConnection"
],
"input_type": "uionly_hidden"
},
"index_name": {
"enabled_by": "index_type",
"enabled_by_value": [
"Azure Cognitive Search"
],
"type": [
"string"
],
"input_type": "uionly_hidden"
},
"content_field": {
"enabled_by": "index_type",
"enabled_by_value": [
"Azure Cognitive Search"
],
"dynamic_list": {
"func_path": "test_tool.tool_with_generated_by_input.list_fields"
},
"type": [
"string"
],
"input_type": "uionly_hidden"
},
"embedding_field": {
"enabled_by": "index_type",
"enabled_by_value": [
"Azure Cognitive Search"
],
"dynamic_list": {
"func_path": "test_tool.tool_with_generated_by_input.list_fields"
},
"type": [
"string"
],
"input_type": "uionly_hidden"
},
"metadata_field": {
"enabled_by": "index_type",
"enabled_by_value": [
"Azure Cognitive Search"
],
"dynamic_list": {
"func_path": "test_tool.tool_with_generated_by_input.list_fields"
},
"type": [
"string"
],
"input_type": "uionly_hidden"
},
"semantic_configuration": {
"enabled_by": "index_type",
"enabled_by_value": [
"Azure Cognitive Search"
],
"dynamic_list": {
"func_path": "test_tool.tool_with_generated_by_input.list_semantic_configuration"
},
"type": [
"string"
],
"input_type": "uionly_hidden"
},
"embedding_connection": {
"enabled_by": "index_type",
"enabled_by_value": [
"Azure Cognitive Search"
],
"type": [
"AzureOpenAIConnection",
"OpenAIConnection"
],
"input_type": "uionly_hidden"
},
"embedding_deployment": {
"enabled_by": "index_type",
"enabled_by_value": [
"Azure Cognitive Search"
],
"dynamic_list": {
"func_path": "test_tool.tool_with_generated_by_input.list_embedding_deployment",
"func_kwargs": [
{
"name": "embedding_connection",
"type": [
"string"
],
"reference": "${inputs.embedding_connection}",
"optional": false
}
]
},
"type": [
"string"
],
"input_type": "uionly_hidden"
}
},
"description": "This is a tool with generated by input",
"module": "test_tool.tool_with_generated_by_input",
"function": "my_tool"
}
} | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_with_custom_strong_type_connection.py | from promptflow._core.tool import tool
from promptflow.connections import CustomStrongTypeConnection
from promptflow.contracts.types import Secret
class MyCustomConnection(CustomStrongTypeConnection):
"""My custom strong type connection.
:param api_key: The api key get from "https://xxx.com".
:type api_key: Secret
:param api_base: The api base.
:type api_base: String
"""
api_key: Secret
api_base: str = "This is a fake api base."
@tool(name="Tool With Custom Strong Type Connection", description="This is my tool with custom strong type connection.")
def my_tool(connection: MyCustomConnection, input_text: str) -> str:
# Replace with your tool code.
# Use custom strong type connection like: connection.api_key, connection.api_base
return "Hello " + input_text
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/python_tool.py | from promptflow import ToolProvider, tool
from promptflow.connections import AzureOpenAIConnection
@tool(name="python_tool")
def my_python_tool(input1: str) -> str:
return 'hello ' + input1
@tool
def my_python_tool_without_name(input1: str) -> str:
return 'hello ' + input1
class PythonTool(ToolProvider):
def __init__(self, connection: AzureOpenAIConnection):
super().__init__()
self.connection = connection
@tool
def python_tool(self, input1: str) -> str:
return 'hello ' + input1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/custom_llm_tool.py | from jinja2 import Template
from promptflow.connections import CustomConnection
from promptflow import ToolProvider, tool
from promptflow.connections import AzureOpenAIConnection
from promptflow.contracts.types import PromptTemplate
class TestCustomLLMTool(ToolProvider):
def __init__(self, connection: AzureOpenAIConnection):
super().__init__()
self.connection = connection
@tool(
name="My Custom LLM Tool",
type="custom_llm",
description="This is a tool to demonstrate the custom_llm tool type",
)
def tool_func(self, api: str, template: PromptTemplate, **kwargs):
pass
@tool(
name="My Custom LLM Tool",
type="custom_llm",
description="This is a tool to demonstrate the custom_llm tool type",
)
def my_tool(connection: CustomConnection, prompt: PromptTemplate, **kwargs) -> str:
# Replace with your tool code, customise your own code to handle and use the prompt here.
# Usually connection contains configs to connect to an API.
# Not all tools need a connection. You can remove it if you don't need it.
rendered_prompt = Template(prompt, trim_blocks=True, keep_trailing_newline=True).render(**kwargs)
return rendered_prompt
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_with_enabled_by_value.py | from enum import Enum
from promptflow.entities import InputSetting
from promptflow import tool
class UserType(str, Enum):
STUDENT = "student"
TEACHER = "teacher"
@tool(
name="My Tool with Enabled By Value",
description="This is my tool with enabled by value",
input_settings={
"teacher_id": InputSetting(enabled_by="user_type", enabled_by_value=[UserType.TEACHER]),
"student_id": InputSetting(enabled_by="user_type", enabled_by_value=[UserType.STUDENT]),
}
)
def my_tool(user_type: UserType, student_id: str = "", teacher_id: str = "") -> str:
"""This is a dummy function to support enabled by feature.
:param user_type: user type, student or teacher.
:param student_id: student id.
:param teacher_id: teacher id.
:return: id of the user.
If user_type is student, return student_id.
If user_type is teacher, return teacher_id.
"""
if user_type == UserType.STUDENT:
return student_id
elif user_type == UserType.TEACHER:
return teacher_id
else:
raise Exception("Invalid user.")
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_with_dynamic_list_input.py | from promptflow import tool
from promptflow.entities import InputSetting, DynamicList
from typing import List, Union, Dict
def my_list_func(prefix: str = "", size: int = 10, **kwargs) -> List[Dict[str, Union[str, int, float, list, Dict]]]:
"""This is a dummy function to generate a list of items.
:param prefix: prefix to add to each item.
:param size: number of items to generate.
:param kwargs: other parameters.
:return: a list of items. Each item is a dict with the following keys:
- value: for backend use. Required.
- display_value: for UI display. Optional.
- hyperlink: external link. Optional.
- description: information icon tip. Optional.
"""
import random
words = ["apple", "banana", "cherry", "date", "elderberry", "fig", "grape", "honeydew", "kiwi", "lemon"]
result = []
for i in range(size):
random_word = f"{random.choice(words)}{i}"
cur_item = {
"value": random_word,
"display_value": f"{prefix}_{random_word}",
"hyperlink": f'https://www.bing.com/search?q={random_word}',
"description": f"this is {i} item",
}
result.append(cur_item)
return result
def list_endpoint_names(subscription_id, resource_group_name, workspace_name, prefix: str = "") -> List[Dict[str, str]]:
"""This is an example to show how to get Azure ML resource in tool input list function.
:param subscription_id: Azure subscription id.
:param resource_group_name: Azure resource group name.
:param workspace_name: Azure ML workspace name.
:param prefix: prefix to add to each item.
"""
from azure.ai.ml import MLClient
from azure.identity import DefaultAzureCredential
credential = DefaultAzureCredential()
credential.get_token("https://management.azure.com/.default")
ml_client = MLClient(
credential=credential,
subscription_id=subscription_id,
resource_group_name=resource_group_name,
workspace_name=workspace_name)
result = []
for ep in ml_client.online_endpoints.list():
hyperlink = (
f"https://ml.azure.com/endpoints/realtime/{ep.name}/detail?wsid=/subscriptions/"
f"{subscription_id}/resourceGroups/{resource_group_name}/providers/Microsoft."
f"MachineLearningServices/workspaces/{workspace_name}"
)
cur_item = {
"value": ep.name,
"display_value": f"{prefix}_{ep.name}",
# external link to jump to the endpoint page.
"hyperlink": hyperlink,
"description": f"this is endpoint: {ep.name}",
}
result.append(cur_item)
return result
input_text_dynamic_list_setting = DynamicList(function=my_list_func, input_mapping={"prefix": "input_prefix"})
endpoint_name_dynamic_list_setting = DynamicList(function=list_endpoint_names, input_mapping={"prefix": "input_prefix"})
input_settings = {
"input_text": InputSetting(
dynamic_list=input_text_dynamic_list_setting,
allow_manual_entry=True,
is_multi_select=True
),
"endpoint_name": InputSetting(
dynamic_list=endpoint_name_dynamic_list_setting,
allow_manual_entry=False,
is_multi_select=False
)
}
@tool(
name="My Tool with Dynamic List Input",
description="This is my tool with dynamic list input",
input_settings=input_settings
)
def my_tool(input_prefix: str, input_text: list, endpoint_name: str) -> str:
return f"Hello {input_prefix} {','.join(input_text)} {endpoint_name}"
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_with_custom_connection.py | from promptflow._core.tool import ToolProvider, tool
from promptflow.connections import CustomConnection
class MyTool(ToolProvider):
"""
Doc reference :
"""
def __init__(self, connection: CustomConnection):
super().__init__()
self.connection = connection
@tool(name="My Second Tool", description="This is my second tool")
def my_tool(self, input_text: str) -> str:
# Replace with your tool code.
# Usually connection contains configs to connect to an API.
# Use CustomConnection is a dict. You can use it like: connection.api_key, connection.api_base
# Not all tools need a connection. You can remove it if you don't need it.
return "Hello " + input_text
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_package/setup.py | from setuptools import find_packages, setup
PACKAGE_NAME = "tool_package"
setup(
name=PACKAGE_NAME,
version="0.0.1",
description="This is my tools package",
packages=find_packages(),
entry_points={
"package_tools": ["tool_func = tool_package.utils:list_package_tools"],
},
install_requires=[
"promptflow",
"promptflow-tools"
]
) | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_package | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_package/tool_package/tool_func.py | from promptflow import tool
from promptflow.connections import CustomConnection
@tool(
name="tool_func",
description="This is tool_func tool",
)
def tool_func(connection: CustomConnection, input_text: str) -> str:
# Replace with your tool code.
# Usually connection contains configs to connect to an API.
# Use CustomConnection is a dict. You can use it like: connection.api_key, connection.api_base
# Not all tools need a connection. You can remove it if you don't need it.
return "Hello " + input_text | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_package | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_package/tool_package/utils.py | from pathlib import Path
import importlib.util
from promptflow import PFClient
package_name = "tool_package"
def list_package_tools(raise_error=False):
"""
List the meta of all tools in the package.
The key of meta dict is the module name of tools and value is the meta data of the tool.
"""
# This function is auto generated by pf CLI, please do not modify manually.
tools = {}
pf_client = PFClient()
tools = pf_client._tools._list_tools_in_package(package_name, raise_error=raise_error)
return tools | 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_package | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_package/tool_package/invalid_tool.py | from enum import Enum
from promptflow.entities import InputSetting
from promptflow import tool
class UserType(str, Enum):
STUDENT = "student"
TEACHER = "teacher"
@tool(name=1, description=1)
def invalid_schema_type(input1: str) -> str:
return 'hello ' + input1
@tool(
name="invalid_input_settings",
description="This is my tool with enabled by value",
input_settings={
"teacher_id": InputSetting(enabled_by="invalid_input", enabled_by_value=[UserType.TEACHER]),
"student_id": InputSetting(enabled_by="invalid_input", enabled_by_value=[UserType.STUDENT]),
}
)
def invalid_input_settings(user_type: UserType, student_id: str = "", teacher_id: str = "") -> str:
pass
@tool(name="invalid_tool_icon", icon="mock_icon_path", icon_dark="mock_icon_path", icon_light="mock_icon_path")
def invalid_tool_icon(input1: str) -> str:
return 'hello ' + input1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_package | promptflow_repo/promptflow/src/promptflow/tests/test_configs/tools/tool_package/tool_package/__init__.py | # ---------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# ---------------------------------------------------------
__path__ = __import__("pkgutil").extend_path(__path__, __name__) # type: ignore
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_list_flows_invalid_cases.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.10.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3548'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.027'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.10.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.093'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_basic_evaluation.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.029'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.098'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.077'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.099'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:15:32 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '379'
content-md5:
- lI/pz9jzTQ7Td3RHPL7y7w==
content-type:
- application/octet-stream
last-modified:
- Mon, 06 Nov 2023 08:30:18 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Mon, 06 Nov 2023 08:30:18 GMT
x-ms-meta-name:
- 94331215-cf7f-452a-9f1a-1d276bc9b0e4
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 3f163752-edb0-4afc-a6f5-b0a670bd7c24
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:15:33 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.082'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.082'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:15:36 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '853'
content-md5:
- ylTeNqjvuOvtzEZJ/X5n3A==
content-type:
- application/octet-stream
last-modified:
- Fri, 12 Jan 2024 08:13:57 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 12 Jan 2024 08:13:56 GMT
x-ms-meta-name:
- 950201e8-c52c-4b15-ada1-5e58de9b2f4d
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:15:38 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/web_classification/flow.dag.yaml",
"runId": "batch_run_name", "runDisplayName": "batch_run_name", "runExperimentName":
"", "nodeVariant": "${summarize_text_content.variant_0}", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl"},
"inputsMapping": {"url": "${data.url}"}, "connections": {}, "environmentVariables":
{}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '873'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"batch_run_name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.627'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
"python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
"inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
"reduce": false}, {"name": "prepare_examples", "type": "python", "source":
{"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
"reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
"code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
"gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
"1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
"frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
"examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
"tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
{"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
"convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
"tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
"type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
"inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
"128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
"stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
"1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
"summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
"tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
{"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "hate_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"description": "Use Azure Content Safety to detect harmful content.", "module":
"promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
"prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text_content":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
"type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
"function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
"source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
"type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
"is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
"${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "batch_run_name", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "83cbe8e6-2d19-46c6-8fba-7875fdb033e1",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '16239'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.263'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
"python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
"inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
"reduce": false}, {"name": "prepare_examples", "type": "python", "source":
{"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
"reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
"code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
"gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
"1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
"frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
"examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
"tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
{"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
"convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
"tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
"type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
"inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
"128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
"stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
"1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
"summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
"tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
{"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "hate_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"description": "Use Azure Content Safety to detect harmful content.", "module":
"promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
"prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text_content":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
"type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
"function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
"source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
"type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
"is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
"${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "batch_run_name", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "83cbe8e6-2d19-46c6-8fba-7875fdb033e1",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '16239'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.488'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
"python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
"inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
"reduce": false}, {"name": "prepare_examples", "type": "python", "source":
{"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
"reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
"code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
"gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
"1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
"frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
"examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
"tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
{"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
"convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
"tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
"type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
"inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
"128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
"stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
"1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
"summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
"tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
{"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "hate_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"description": "Use Azure Content Safety to detect harmful content.", "module":
"promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
"prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text_content":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
"type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
"function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
"source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
"type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
"is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
"${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "batch_run_name", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "83cbe8e6-2d19-46c6-8fba-7875fdb033e1",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '16239'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.469'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
"python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
"inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
"reduce": false}, {"name": "prepare_examples", "type": "python", "source":
{"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
"reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
"code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
"gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
"1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
"frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
"examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
"tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
{"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
"convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
"tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
"type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
"inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
"128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
"stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
"1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
"summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
"tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
{"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "hate_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"description": "Use Azure Content Safety to detect harmful content.", "module":
"promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
"prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text_content":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
"type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
"function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
"source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
"type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
"is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
"${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "batch_run_name", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "83cbe8e6-2d19-46c6-8fba-7875fdb033e1",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '16239'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.256'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.080'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.129'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:16:24 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '379'
content-md5:
- lI/pz9jzTQ7Td3RHPL7y7w==
content-type:
- application/octet-stream
last-modified:
- Mon, 06 Nov 2023 08:30:18 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Mon, 06 Nov 2023 08:30:18 GMT
x-ms-meta-name:
- 94331215-cf7f-452a-9f1a-1d276bc9b0e4
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 3f163752-edb0-4afc-a6f5-b0a670bd7c24
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:16:25 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.135'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.089'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:16:29 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/eval-classification-accuracy/calculate_accuracy.py
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '409'
content-md5:
- OyENtlqGVUTrY5zKuzo8XA==
content-type:
- application/octet-stream
last-modified:
- Tue, 21 Nov 2023 08:03:40 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 21 Nov 2023 08:03:39 GMT
x-ms-meta-name:
- fd932777-4f3a-4c1d-9c3a-24d45835d7e1
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:16:30 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/eval-classification-accuracy/calculate_accuracy.py
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/eval-classification-accuracy/flow.dag.yaml",
"runId": "eval_run_name", "runDisplayName": "eval_run_name", "runExperimentName":
"", "variantRunId": "batch_run_name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl"},
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.category}"},
"connections": {}, "environmentVariables": {}, "runtimeName": "fake-runtime-name",
"sessionId": "000000000000000000000000000000000000000000000000", "sessionSetupMode":
"SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '947'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"eval_run_name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.931'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "grade", "type": "python", "source":
{"type": "code", "path": "grade.py"}, "inputs": {"groundtruth": "${inputs.groundtruth}",
"prediction": "${inputs.prediction}"}, "tool": "grade.py", "reduce": false},
{"name": "calculate_accuracy", "type": "python", "source": {"type": "code",
"path": "calculate_accuracy.py"}, "inputs": {"grades": "${grade.output}"},
"tool": "calculate_accuracy.py", "reduce": true}], "tools": [{"name": "Content
Safety (Text Analyze)", "type": "python", "inputs": {"connection": {"type":
["AzureContentSafetyConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "hate_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "self_harm_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "sexual_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "violence_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Azure Content Safety to detect harmful content.", "module": "promptflow.tools.azure_content_safety",
"function": "analyze_text", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "enable_kwargs": false, "deprecated_tools":
["content_safety_text.tools.content_safety_text_tool.analyze_text"], "tool_state":
"stable"}, {"name": "Embedding", "type": "python", "inputs": {"connection":
{"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "calculate_accuracy.py", "type":
"python", "inputs": {"grades": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "calculate_accuracy.py",
"function": "calculate_accuracy", "is_builtin": false, "enable_kwargs": false,
"tool_state": "stable"}, {"name": "grade.py", "type": "python", "inputs":
{"groundtruth": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "prediction": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "grade.py",
"function": "grade", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"groundtruth": {"type": "string", "default": "APP",
"description": "Please specify the groundtruth column, which contains the
true label to the outputs that your flow produces.", "is_chat_input": false},
"prediction": {"type": "string", "default": "APP", "description": "Please
specify the prediction column, which contains the predicted outputs that your
flow produces.", "is_chat_input": false}}, "outputs": {"grade": {"type": "string",
"reference": "${grade.output}", "evaluation_only": false, "is_chat_output":
false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/eval_run_name/flowRuns/eval_run_name",
"flowRunId": "eval_run_name", "flowRunDisplayName": "eval_run_name", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.category}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/eval_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "73d0c061-880c-466c-8fb0-b29e9ae7ab66",
"studioPortalEndpoint": "https://ml.azure.com/runs/eval_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13869'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.388'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "grade", "type": "python", "source":
{"type": "code", "path": "grade.py"}, "inputs": {"groundtruth": "${inputs.groundtruth}",
"prediction": "${inputs.prediction}"}, "tool": "grade.py", "reduce": false},
{"name": "calculate_accuracy", "type": "python", "source": {"type": "code",
"path": "calculate_accuracy.py"}, "inputs": {"grades": "${grade.output}"},
"tool": "calculate_accuracy.py", "reduce": true}], "tools": [{"name": "Content
Safety (Text Analyze)", "type": "python", "inputs": {"connection": {"type":
["AzureContentSafetyConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "hate_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "self_harm_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "sexual_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "violence_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Azure Content Safety to detect harmful content.", "module": "promptflow.tools.azure_content_safety",
"function": "analyze_text", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "enable_kwargs": false, "deprecated_tools":
["content_safety_text.tools.content_safety_text_tool.analyze_text"], "tool_state":
"stable"}, {"name": "Embedding", "type": "python", "inputs": {"connection":
{"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "calculate_accuracy.py", "type":
"python", "inputs": {"grades": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "calculate_accuracy.py",
"function": "calculate_accuracy", "is_builtin": false, "enable_kwargs": false,
"tool_state": "stable"}, {"name": "grade.py", "type": "python", "inputs":
{"groundtruth": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "prediction": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "grade.py",
"function": "grade", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"groundtruth": {"type": "string", "default": "APP",
"description": "Please specify the groundtruth column, which contains the
true label to the outputs that your flow produces.", "is_chat_input": false},
"prediction": {"type": "string", "default": "APP", "description": "Please
specify the prediction column, which contains the predicted outputs that your
flow produces.", "is_chat_input": false}}, "outputs": {"grade": {"type": "string",
"reference": "${grade.output}", "evaluation_only": false, "is_chat_output":
false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/eval_run_name/flowRuns/eval_run_name",
"flowRunId": "eval_run_name", "flowRunDisplayName": "eval_run_name", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.category}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/eval_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "73d0c061-880c-466c-8fb0-b29e9ae7ab66",
"studioPortalEndpoint": "https://ml.azure.com/runs/eval_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13869'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.270'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "grade", "type": "python", "source":
{"type": "code", "path": "grade.py"}, "inputs": {"groundtruth": "${inputs.groundtruth}",
"prediction": "${inputs.prediction}"}, "tool": "grade.py", "reduce": false},
{"name": "calculate_accuracy", "type": "python", "source": {"type": "code",
"path": "calculate_accuracy.py"}, "inputs": {"grades": "${grade.output}"},
"tool": "calculate_accuracy.py", "reduce": true}], "tools": [{"name": "Content
Safety (Text Analyze)", "type": "python", "inputs": {"connection": {"type":
["AzureContentSafetyConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "hate_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "self_harm_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "sexual_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "violence_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Azure Content Safety to detect harmful content.", "module": "promptflow.tools.azure_content_safety",
"function": "analyze_text", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "enable_kwargs": false, "deprecated_tools":
["content_safety_text.tools.content_safety_text_tool.analyze_text"], "tool_state":
"stable"}, {"name": "Embedding", "type": "python", "inputs": {"connection":
{"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "calculate_accuracy.py", "type":
"python", "inputs": {"grades": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "calculate_accuracy.py",
"function": "calculate_accuracy", "is_builtin": false, "enable_kwargs": false,
"tool_state": "stable"}, {"name": "grade.py", "type": "python", "inputs":
{"groundtruth": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "prediction": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "grade.py",
"function": "grade", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"groundtruth": {"type": "string", "default": "APP",
"description": "Please specify the groundtruth column, which contains the
true label to the outputs that your flow produces.", "is_chat_input": false},
"prediction": {"type": "string", "default": "APP", "description": "Please
specify the prediction column, which contains the predicted outputs that your
flow produces.", "is_chat_input": false}}, "outputs": {"grade": {"type": "string",
"reference": "${grade.output}", "evaluation_only": false, "is_chat_output":
false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/eval_run_name/flowRuns/eval_run_name",
"flowRunId": "eval_run_name", "flowRunDisplayName": "eval_run_name", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.category}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/eval_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "73d0c061-880c-466c-8fb0-b29e9ae7ab66",
"studioPortalEndpoint": "https://ml.azure.com/runs/eval_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13869'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.336'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "grade", "type": "python", "source":
{"type": "code", "path": "grade.py"}, "inputs": {"groundtruth": "${inputs.groundtruth}",
"prediction": "${inputs.prediction}"}, "tool": "grade.py", "reduce": false},
{"name": "calculate_accuracy", "type": "python", "source": {"type": "code",
"path": "calculate_accuracy.py"}, "inputs": {"grades": "${grade.output}"},
"tool": "calculate_accuracy.py", "reduce": true}], "tools": [{"name": "Content
Safety (Text Analyze)", "type": "python", "inputs": {"connection": {"type":
["AzureContentSafetyConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "hate_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "self_harm_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "sexual_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "violence_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Azure Content Safety to detect harmful content.", "module": "promptflow.tools.azure_content_safety",
"function": "analyze_text", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "enable_kwargs": false, "deprecated_tools":
["content_safety_text.tools.content_safety_text_tool.analyze_text"], "tool_state":
"stable"}, {"name": "Embedding", "type": "python", "inputs": {"connection":
{"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "calculate_accuracy.py", "type":
"python", "inputs": {"grades": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "calculate_accuracy.py",
"function": "calculate_accuracy", "is_builtin": false, "enable_kwargs": false,
"tool_state": "stable"}, {"name": "grade.py", "type": "python", "inputs":
{"groundtruth": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "prediction": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "grade.py",
"function": "grade", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"groundtruth": {"type": "string", "default": "APP",
"description": "Please specify the groundtruth column, which contains the
true label to the outputs that your flow produces.", "is_chat_input": false},
"prediction": {"type": "string", "default": "APP", "description": "Please
specify the prediction column, which contains the predicted outputs that your
flow produces.", "is_chat_input": false}}, "outputs": {"grade": {"type": "string",
"reference": "${grade.output}", "evaluation_only": false, "is_chat_output":
false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/eval_run_name/flowRuns/eval_run_name",
"flowRunId": "eval_run_name", "flowRunDisplayName": "eval_run_name", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.category}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/eval_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "73d0c061-880c-466c-8fb0-b29e9ae7ab66",
"studioPortalEndpoint": "https://ml.azure.com/runs/eval_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13869'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.366'
status:
code: 200
message: OK
- request:
body: '{"runId": "batch_run_name", "selectRunMetadata": true, "selectRunDefinition":
true, "selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705047344, "rootRunId": "batch_run_name",
"createdUtc": "2024-01-12T08:15:44.0948865+00:00", "createdBy": {"userObjectId":
"00000000-0000-0000-0000-000000000000", "userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 6,
"statusRevision": 3, "runUuid": "e52bd2e7-d460-459a-a3ab-07d848ea525d", "parentRunUuid":
null, "rootRunUuid": "e52bd2e7-d460-459a-a3ab-07d848ea525d", "lastStartTimeUtc":
null, "currentComputeTime": null, "computeDuration": "00:00:06.7505192", "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:16:06.9067508+00:00", "duration":
"00:00:06.7505192", "cancelationReason": null, "currentAttemptId": 1, "runId":
"batch_run_name", "parentRunId": null, "experimentId": "d30efbeb-f81d-4cfa-b5cc-a0570a049009",
"status": "Completed", "startTimeUtc": "2024-01-12T08:16:01.0613927+00:00",
"endTimeUtc": "2024-01-12T08:16:07.8119119+00:00", "scheduleId": null, "displayName":
"batch_run_name", "name": null, "dataContainerId": "dcid.batch_run_name",
"description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": "AmlcDsi"}, "properties": {"azureml.promptflow.runtime_name":
"test-runtime-ci", "azureml.promptflow.runtime_version": "20231204.v4", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "4dd8f4d5f44dfeb817d3438cf84bd739215d87afd9458597",
"azureml.promptflow.flow_lineage_id": "af1a6951de9be2ce13d3b58b23dbd8b6a0cd8fd4918ad9cb22b28fb8395fbcb0",
"azureml.promptflow.node_variant": "${summarize_text_content.variant_0}",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/a1fa6ef1ead7ff3ce76b36250f6f5461/web_classification/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl",
"azureml.promptflow.inputs_mapping": "{\"url\":\"${data.url}\"}", "_azureml.evaluation_run":
"promptflow.BatchRun", "azureml.promptflow.snapshot_id": "83cbe8e6-2d19-46c6-8fba-7875fdb033e1",
"azureml.promptflow.total_tokens": "2448", "_azureml.evaluate_artifacts":
"[{\"path\": \"instance_results.jsonl\", \"type\": \"table\"}]"}, "parameters":
{}, "actionUris": {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets":
[], "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
"azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '4732'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.049'
status:
code: 200
message: OK
- request:
body: '{"runId": "eval_run_name", "selectRunMetadata": true, "selectRunDefinition":
true, "selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705047396, "rootRunId": "eval_run_name",
"createdUtc": "2024-01-12T08:16:36.0629362+00:00", "createdBy": {"userObjectId":
"00000000-0000-0000-0000-000000000000", "userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 6,
"statusRevision": 3, "runUuid": "a3978660-b3ed-4116-b125-6a52e8c8e4cb", "parentRunUuid":
null, "rootRunUuid": "a3978660-b3ed-4116-b125-6a52e8c8e4cb", "lastStartTimeUtc":
null, "currentComputeTime": null, "computeDuration": "00:00:04.8368673", "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:16:57.9353592+00:00", "duration":
"00:00:04.8368673", "cancelationReason": null, "currentAttemptId": 1, "runId":
"eval_run_name", "parentRunId": null, "experimentId": "7bdec279-f99c-4ed3-b0b8-dd75698b8fd0",
"status": "Completed", "startTimeUtc": "2024-01-12T08:16:54.0128269+00:00",
"endTimeUtc": "2024-01-12T08:16:58.8496942+00:00", "scheduleId": null, "displayName":
"eval_run_name", "name": null, "dataContainerId": "dcid.eval_run_name", "description":
null, "hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2":
{"orchestrator": null, "traits": [], "attribution": "PromptFlow", "computeType":
"AmlcDsi"}, "properties": {"azureml.promptflow.runtime_name": "test-runtime-ci",
"azureml.promptflow.runtime_version": "20231204.v4", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "f8e4236a4e78e7f7125bbd811ec7976cb330412723a530f8",
"azureml.promptflow.flow_lineage_id": "26c575d863a85371ef937096728441d8c68c3e737b5a1bfeae5ac8f3b9ccb048",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/1aa3064d06f6170abbc488cc35c713b9/eval-classification-accuracy/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl",
"azureml.promptflow.input_run_id": "batch_run_name", "azureml.promptflow.inputs_mapping":
"{\"groundtruth\":\"${data.answer}\",\"prediction\":\"${run.outputs.category}\"}",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"73d0c061-880c-466c-8fb0-b29e9ae7ab66", "azureml.promptflow.total_tokens":
"0", "_azureml.evaluate_artifacts": "[{\"path\": \"instance_results.jsonl\",
\"type\": \"table\"}]"}, "parameters": {}, "actionUris": {}, "scriptName":
null, "target": null, "uniqueChildRunComputeTargets": [], "tags": {}, "settings":
{}, "services": {}, "inputDatasets": [], "outputDatasets": [], "runDefinition":
null, "jobSpecification": null, "primaryMetricName": null, "createdFrom":
null, "cancelUri": null, "completeUri": null, "diagnosticsUri": null, "computeRequest":
null, "compute": null, "retainForLifetimeOfWorkspace": false, "queueingInfo":
null, "inputs": null, "outputs": {"debug_info": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_eval_run_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_eval_run_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '4794'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.066'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name/logContent
response:
body:
string: '"2024-01-12 08:15:48 +0000 106 promptflow-runtime INFO [batch_run_name]
Receiving v2 bulk run request 3fe0e3e1-2e3a-44a7-94c9-4a64bc9388a5: {\"flow_id\":
\"batch_run_name\", \"flow_run_id\": \"batch_run_name\", \"flow_source\":
{\"flow_source_type\": 1, \"flow_source_info\": {\"snapshot_id\": \"83cbe8e6-2d19-46c6-8fba-7875fdb033e1\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"connections\": \"**data_scrubbed**\",
\"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.batch_run_name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A05%3A43Z&ske=2024-01-13T16%3A15%3A43Z&sks=b&skv=2019-07-07&st=2024-01-12T08%3A05%3A47Z&se=2024-01-12T16%3A15%3A47Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl\"},
\"inputs_mapping\": {\"url\": \"${data.url}\"}, \"azure_storage_setting\":
{\"azure_storage_mode\": 1, \"storage_account_name\": \"promptfloweast4063704120\",
\"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/batch_run_name\",
\"blob_container_sas_token\": \"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A15%3A48Z&ske=2024-01-19T08%3A15%3A48Z&sks=b&skv=2019-07-07&se=2024-01-19T08%3A15%3A48Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 08:15:48 +0000 106
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:15:48 +0000 106 promptflow-runtime INFO Updating
batch_run_name to Status.Preparing...\n2024-01-12 08:15:48 +0000 106 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/34817/requests/batch_run_name\n2024-01-12
08:15:48 +0000 106 promptflow-runtime INFO Get snapshot sas url for
83cbe8e6-2d19-46c6-8fba-7875fdb033e1...\n2024-01-12 08:15:55 +0000 106
promptflow-runtime INFO Downloading snapshot 83cbe8e6-2d19-46c6-8fba-7875fdb033e1
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/83cbe8e6-2d19-46c6-8fba-7875fdb033e1.zip...\n2024-01-12
08:15:55 +0000 106 promptflow-runtime INFO Downloaded file /mnt/host/service/app/34817/requests/batch_run_name/83cbe8e6-2d19-46c6-8fba-7875fdb033e1.zip
with size 5027 for snapshot 83cbe8e6-2d19-46c6-8fba-7875fdb033e1.\n2024-01-12
08:15:55 +0000 106 promptflow-runtime INFO Download snapshot 83cbe8e6-2d19-46c6-8fba-7875fdb033e1
completed.\n2024-01-12 08:15:55 +0000 106 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/34817/requests/batch_run_name\n2024-01-12
08:15:55 +0000 106 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 08:15:55 +0000 106 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 08:15:55 +0000 106 promptflow-runtime
INFO Starting to check process 3917 status for run batch_run_name\n2024-01-12
08:15:55 +0000 106 promptflow-runtime INFO Start checking run status
for run batch_run_name\n2024-01-12 08:15:59 +0000 3917 promptflow-runtime
INFO [106--3917] Start processing flowV2......\n2024-01-12 08:15:59 +0000 3917
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:15:59 +0000 3917 promptflow-runtime INFO Setting
mlflow tracking uri...\n2024-01-12 08:15:59 +0000 3917 promptflow-runtime
INFO Validating ''AzureML Data Scientist'' user authentication...\n2024-01-12
08:15:59 +0000 3917 promptflow-runtime INFO Successfully validated
''AzureML Data Scientist'' user authentication.\n2024-01-12 08:15:59 +0000 3917
promptflow-runtime INFO Using AzureMLRunStorageV2\n2024-01-12 08:15:59
+0000 3917 promptflow-runtime INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:15:59 +0000 3917 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 08:15:59 +0000 3917 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:16:00 +0000 3917 promptflow-runtime INFO Resolve data from url finished
in 0.7087652487680316 seconds\n2024-01-12 08:16:00 +0000 3917 promptflow-runtime
INFO Starting the aml run ''batch_run_name''...\n2024-01-12 08:16:01 +0000 3917
execution.bulk INFO Using fork, process count: 3\n2024-01-12 08:16:01
+0000 3959 execution.bulk INFO Process 3959 started.\n2024-01-12
08:16:01 +0000 3964 execution.bulk INFO Process 3964 started.\n2024-01-12
08:16:01 +0000 3917 execution.bulk INFO Process name: ForkProcess-30:2,
Process id: 3959, Line number: 0 start execution.\n2024-01-12 08:16:01 +0000 3969
execution.bulk INFO Process 3969 started.\n2024-01-12 08:16:01 +0000 3917
execution.bulk INFO Process name: ForkProcess-30:3, Process id: 3964,
Line number: 1 start execution.\n2024-01-12 08:16:01 +0000 3917 execution.bulk INFO Process
name: ForkProcess-30:4, Process id: 3969, Line number: 2 start execution.\n2024-01-12
08:16:02 +0000 3917 execution.bulk INFO Process name: ForkProcess-30:4,
Process id: 3969, Line number: 2 completed.\n2024-01-12 08:16:02 +0000 3917
execution.bulk INFO Finished 1 / 3 lines.\n2024-01-12 08:16:02 +0000 3917
execution.bulk INFO Process name: ForkProcess-30:3, Process id: 3964,
Line number: 1 completed.\n2024-01-12 08:16:02 +0000 3917 execution.bulk INFO Average
execution time for completed lines: 1.52 seconds. Estimated time for incomplete
lines: 3.04 seconds.\n2024-01-12 08:16:02 +0000 3917 execution.bulk INFO Finished
2 / 3 lines.\n2024-01-12 08:16:02 +0000 3917 execution.bulk INFO Average
execution time for completed lines: 0.78 seconds. Estimated time for incomplete
lines: 0.78 seconds.\n2024-01-12 08:16:03 +0000 3917 execution.bulk INFO Process
name: ForkProcess-30:2, Process id: 3959, Line number: 0 completed.\n2024-01-12
08:16:03 +0000 3917 execution.bulk INFO Finished 3 / 3 lines.\n2024-01-12
08:16:03 +0000 3917 execution.bulk INFO Average execution time
for completed lines: 0.61 seconds. Estimated time for incomplete lines: 0.0
seconds.\n2024-01-12 08:16:06 +0000 3917 execution.bulk INFO Upload
status summary metrics for run batch_run_name finished in 2.639357965439558
seconds\n2024-01-12 08:16:06 +0000 3917 promptflow-runtime INFO Successfully
write run properties {\"azureml.promptflow.total_tokens\": 2448, \"_azureml.evaluate_artifacts\":
\"[{\\\"path\\\": \\\"instance_results.jsonl\\\", \\\"type\\\": \\\"table\\\"}]\"}
with run id ''batch_run_name''\n2024-01-12 08:16:06 +0000 3917 execution.bulk INFO Upload
RH properties for run batch_run_name finished in 0.07268641889095306 seconds\n2024-01-12
08:16:06 +0000 3917 promptflow-runtime INFO Creating unregistered output
Asset for Run batch_run_name...\n2024-01-12 08:16:07 +0000 3917 promptflow-runtime
INFO Created debug_info Asset: azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_debug_info/versions/1\n2024-01-12
08:16:07 +0000 3917 promptflow-runtime INFO Creating unregistered output
Asset for Run batch_run_name...\n2024-01-12 08:16:07 +0000 3917 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_flow_outputs/versions/1\n2024-01-12
08:16:07 +0000 3917 promptflow-runtime INFO Creating Artifact for Run
batch_run_name...\n2024-01-12 08:16:07 +0000 3917 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-12 08:16:07 +0000 3917 promptflow-runtime
INFO Patching batch_run_name...\n2024-01-12 08:16:07 +0000 3917 promptflow-runtime
INFO Ending the aml run ''batch_run_name'' with status ''Completed''...\n2024-01-12
08:16:09 +0000 106 promptflow-runtime INFO Process 3917 finished\n2024-01-12
08:16:09 +0000 106 promptflow-runtime INFO [106] Child process finished!\n2024-01-12
08:16:09 +0000 106 promptflow-runtime INFO [batch_run_name] End processing
bulk run\n2024-01-12 08:16:09 +0000 106 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/34817/requests/batch_run_name for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '9861'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.454'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name/logContent
response:
body:
string: '"2024-01-12 08:16:40 +0000 134 promptflow-runtime INFO [eval_run_name]
Receiving v2 bulk run request abc15e77-e71f-4626-8037-8f58ccd9b423: {\"flow_id\":
\"eval_run_name\", \"flow_run_id\": \"eval_run_name\", \"flow_source\": {\"flow_source_type\":
1, \"flow_source_info\": {\"snapshot_id\": \"73d0c061-880c-466c-8fb0-b29e9ae7ab66\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.eval_run_name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A46%3A24Z&ske=2024-01-13T15%3A56%3A24Z&sks=b&skv=2019-07-07&st=2024-01-12T08%3A06%3A39Z&se=2024-01-12T16%3A16%3A39Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl\",
\"run.outputs\": \"azureml:/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/data/azureml_batch_run_name_output_data_flow_outputs/versions/1\"},
\"inputs_mapping\": {\"groundtruth\": \"${data.answer}\", \"prediction\":
\"${run.outputs.category}\"}, \"azure_storage_setting\": {\"azure_storage_mode\":
1, \"storage_account_name\": \"promptfloweast4063704120\", \"blob_container_name\":
\"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\", \"flow_artifacts_root_path\":
\"promptflow/PromptFlowArtifacts/eval_run_name\", \"blob_container_sas_token\":
\"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A16%3A40Z&ske=2024-01-19T08%3A16%3A40Z&sks=b&skv=2019-07-07&se=2024-01-19T08%3A16%3A40Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 08:16:40 +0000 134
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:16:40 +0000 134 promptflow-runtime INFO Updating
eval_run_name to Status.Preparing...\n2024-01-12 08:16:41 +0000 134 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/38343/requests/eval_run_name\n2024-01-12
08:16:41 +0000 134 promptflow-runtime INFO Get snapshot sas url for
73d0c061-880c-466c-8fb0-b29e9ae7ab66...\n2024-01-12 08:16:47 +0000 134
promptflow-runtime INFO Downloading snapshot 73d0c061-880c-466c-8fb0-b29e9ae7ab66
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/73d0c061-880c-466c-8fb0-b29e9ae7ab66.zip...\n2024-01-12
08:16:47 +0000 134 promptflow-runtime INFO Downloaded file /mnt/host/service/app/38343/requests/eval_run_name/73d0c061-880c-466c-8fb0-b29e9ae7ab66.zip
with size 1243 for snapshot 73d0c061-880c-466c-8fb0-b29e9ae7ab66.\n2024-01-12
08:16:47 +0000 134 promptflow-runtime INFO Download snapshot 73d0c061-880c-466c-8fb0-b29e9ae7ab66
completed.\n2024-01-12 08:16:47 +0000 134 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/38343/requests/eval_run_name\n2024-01-12
08:16:47 +0000 134 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 08:16:47 +0000 134 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 08:16:47 +0000 134 promptflow-runtime
INFO Starting to check process 4041 status for run eval_run_name\n2024-01-12
08:16:47 +0000 134 promptflow-runtime INFO Start checking run status
for run eval_run_name\n2024-01-12 08:16:51 +0000 4041 promptflow-runtime
INFO [134--4041] Start processing flowV2......\n2024-01-12 08:16:51 +0000 4041
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:16:51 +0000 4041 promptflow-runtime INFO Setting
mlflow tracking uri...\n2024-01-12 08:16:52 +0000 4041 promptflow-runtime
INFO Validating ''AzureML Data Scientist'' user authentication...\n2024-01-12
08:16:52 +0000 4041 promptflow-runtime INFO Successfully validated
''AzureML Data Scientist'' user authentication.\n2024-01-12 08:16:52 +0000 4041
promptflow-runtime INFO Using AzureMLRunStorageV2\n2024-01-12 08:16:52
+0000 4041 promptflow-runtime INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:16:52 +0000 4041 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 08:16:52 +0000 4041 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:16:52 +0000 4041 promptflow-runtime INFO Resolve data from url finished
in 0.45952979754656553 seconds\n2024-01-12 08:16:53 +0000 4041 promptflow-runtime
INFO Resolve data from url finished in 0.7092651706188917 seconds\n2024-01-12
08:16:53 +0000 4041 promptflow-runtime INFO Starting the aml run ''eval_run_name''...\n2024-01-12
08:16:54 +0000 4041 execution.bulk INFO Using fork, process count:
3\n2024-01-12 08:16:54 +0000 4083 execution.bulk INFO Process 4083
started.\n2024-01-12 08:16:54 +0000 4093 execution.bulk INFO Process
4093 started.\n2024-01-12 08:16:54 +0000 4041 execution.bulk INFO Process
name: ForkProcess-38:2, Process id: 4083, Line number: 0 start execution.\n2024-01-12
08:16:54 +0000 4041 execution.bulk INFO Process name: ForkProcess-38:4,
Process id: 4093, Line number: 1 start execution.\n2024-01-12 08:16:54 +0000 4041
execution.bulk INFO Process name: ForkProcess-38:2, Process id: 4083,
Line number: 0 completed.\n2024-01-12 08:16:54 +0000 4088 execution.bulk INFO Process
4088 started.\n2024-01-12 08:16:54 +0000 4041 execution.bulk INFO Finished
1 / 3 lines.\n2024-01-12 08:16:54 +0000 4041 execution.bulk INFO Process
name: ForkProcess-38:4, Process id: 4093, Line number: 1 completed.\n2024-01-12
08:16:54 +0000 4041 execution.bulk INFO Process name: ForkProcess-38:3,
Process id: 4088, Line number: 2 start execution.\n2024-01-12 08:16:54 +0000 4041
execution.bulk INFO Average execution time for completed lines: 0.23
seconds. Estimated time for incomplete lines: 0.46 seconds.\n2024-01-12 08:16:54
+0000 4041 execution.bulk INFO Finished 2 / 3 lines.\n2024-01-12
08:16:54 +0000 4041 execution.bulk INFO Average execution time
for completed lines: 0.13 seconds. Estimated time for incomplete lines: 0.13
seconds.\n2024-01-12 08:16:54 +0000 4041 execution.bulk INFO Process
name: ForkProcess-38:3, Process id: 4088, Line number: 2 completed.\n2024-01-12
08:16:54 +0000 4041 execution.bulk INFO Finished 3 / 3 lines.\n2024-01-12
08:16:54 +0000 4041 execution.bulk INFO Average execution time
for completed lines: 0.13 seconds. Estimated time for incomplete lines: 0.0
seconds.\n2024-01-12 08:16:55 +0000 4041 execution.bulk INFO Executing
aggregation nodes...\n2024-01-12 08:16:55 +0000 4041 execution.bulk INFO Finish
executing aggregation nodes.\n2024-01-12 08:16:57 +0000 4041 execution.bulk INFO Upload
status summary metrics for run eval_run_name finished in 1.7071036528795958
seconds\n2024-01-12 08:16:57 +0000 4041 execution.bulk INFO Upload
metrics for run eval_run_name finished in 0.39980557933449745 seconds\n2024-01-12
08:16:57 +0000 4041 promptflow-runtime INFO Successfully write run
properties {\"azureml.promptflow.total_tokens\": 0, \"_azureml.evaluate_artifacts\":
\"[{\\\"path\\\": \\\"instance_results.jsonl\\\", \\\"type\\\": \\\"table\\\"}]\"}
with run id ''eval_run_name''\n2024-01-12 08:16:57 +0000 4041 execution.bulk INFO Upload
RH properties for run eval_run_name finished in 0.11383599042892456 seconds\n2024-01-12
08:16:58 +0000 4041 promptflow-runtime INFO Creating unregistered output
Asset for Run eval_run_name...\n2024-01-12 08:16:58 +0000 4041 promptflow-runtime
INFO Created debug_info Asset: azureml://locations/eastus/workspaces/00000/data/azureml_eval_run_name_output_data_debug_info/versions/1\n2024-01-12
08:16:58 +0000 4041 promptflow-runtime INFO Creating unregistered output
Asset for Run eval_run_name...\n2024-01-12 08:16:58 +0000 4041 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_eval_run_name_output_data_flow_outputs/versions/1\n2024-01-12
08:16:58 +0000 4041 promptflow-runtime INFO Creating Artifact for Run
eval_run_name...\n2024-01-12 08:16:58 +0000 4041 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-12 08:16:58 +0000 4041 promptflow-runtime
INFO Patching eval_run_name...\n2024-01-12 08:16:58 +0000 4041 promptflow-runtime
INFO Ending the aml run ''eval_run_name'' with status ''Completed''...\n2024-01-12
08:17:00 +0000 134 promptflow-runtime INFO Process 4041 finished\n2024-01-12
08:17:00 +0000 134 promptflow-runtime INFO [134] Child process finished!\n2024-01-12
08:17:00 +0000 134 promptflow-runtime INFO [eval_run_name] End processing
bulk run\n2024-01-12 08:17:00 +0000 134 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/38343/requests/eval_run_name for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '10623'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.650'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_cli_telemetry.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.073'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.089'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:30:17 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '49'
content-md5:
- quXiEreYvPinSj0HsaNa/g==
content-type:
- application/octet-stream
last-modified:
- Wed, 08 Nov 2023 04:26:09 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Wed, 08 Nov 2023 04:26:09 GMT
x-ms-meta-name:
- c4092674-5e53-4c17-b78d-75353ae0edb6
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 579021dc-8ac8-4c73-8110-4642bd00c69b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:30:19 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.069'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.088'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:30:21 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '245'
content-md5:
- F+JA0a3CxcLYZ0ANRdlZbA==
content-type:
- application/octet-stream
last-modified:
- Wed, 29 Nov 2023 02:51:35 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 17 Aug 2023 10:30:09 GMT
x-ms-meta-name:
- 56efdd28-6297-4baa-aad3-be46f4b768a2
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:30:22 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '[{"iKey": "8b52b368-4c91-4226-b7f7-be52822f0509", "tags": {"ai.cloud.role":
"pfazure", "ai.device.locale": "en_US", "ai.device.osVersion": "10.0.22631",
"ai.device.type": "Other", "ai.internal.sdkVersion": "py3.10.13:oc0.11.2:ext1.1.9",
"ai.operation.id": "00000000000000000000000000000000", "ai.operation.parentId":
"|00000000000000000000000000000000.0000000000000000."}, "time": "2024-01-12T08:30:14.771082Z",
"name": "Microsoft.ApplicationInsights.Event", "data": {"baseData": {"name":
"pfazure.run.create.start", "properties": {"request_id": "79d30574-8153-43d8-bdec-2d1f3c9e436b",
"first_call": true, "activity_name": "pfazure.run.create", "activity_type":
"PublicApi", "user_agent": "promptflow-sdk/0.0.1 promptflow-cli/0.0.1", "subscription_id":
"96aede12-2f73-41cb-b983-6d11a904839b", "resource_group_name": "promptflow",
"workspace_name": "promptflow-eastus", "level": "INFO", "from_ci": false, "python_version":
"3.10.13", "installation_id": "9d18c597-0a5c-4e8c-8ef5-d7e9c4aa82a3"}, "measurements":
{}, "ver": 2}, "baseType": "EventData"}}]'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '1050'
Content-Type:
- application/json; charset=utf-8
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://dc.services.visualstudio.com/v2.1/track
response:
body:
string: '{"itemsReceived": 1, "itemsAccepted": 0, "errors": [{"index": 0, "statusCode":
307, "message": "Ingestion is allowed only from stamp specific endpoint -
Location: https://eastus-8.in.applicationinsights.azure.com/v2.1/track"}]}'
headers:
cache-control:
- max-age=604800
content-length:
- '217'
content-type:
- application/json; charset=utf-8
location:
- https://eastus-8.in.applicationinsights.azure.com/v2.1/track
server:
- Microsoft-HTTPAPI/2.0
strict-transport-security:
- max-age=31536000
x-content-type-options:
- nosniff
status:
code: 307
message: Temporary Redirect
- request:
body: '[{"iKey": "8b52b368-4c91-4226-b7f7-be52822f0509", "tags": {"ai.cloud.role":
"pfazure", "ai.device.locale": "en_US", "ai.device.osVersion": "10.0.22631",
"ai.device.type": "Other", "ai.internal.sdkVersion": "py3.10.13:oc0.11.2:ext1.1.9",
"ai.operation.id": "00000000000000000000000000000000", "ai.operation.parentId":
"|00000000000000000000000000000000.0000000000000000."}, "time": "2024-01-12T08:30:14.771082Z",
"name": "Microsoft.ApplicationInsights.Event", "data": {"baseData": {"name":
"pfazure.run.create.start", "properties": {"request_id": "79d30574-8153-43d8-bdec-2d1f3c9e436b",
"first_call": true, "activity_name": "pfazure.run.create", "activity_type":
"PublicApi", "user_agent": "promptflow-sdk/0.0.1 promptflow-cli/0.0.1", "subscription_id":
"96aede12-2f73-41cb-b983-6d11a904839b", "resource_group_name": "promptflow",
"workspace_name": "promptflow-eastus", "level": "INFO", "from_ci": false, "python_version":
"3.10.13", "installation_id": "9d18c597-0a5c-4e8c-8ef5-d7e9c4aa82a3"}, "measurements":
{}, "ver": 2}, "baseType": "EventData"}}]'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '1050'
Content-Type:
- application/json; charset=utf-8
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus-8.in.applicationinsights.azure.com/v2.1/track
response:
body:
string: '{"itemsReceived": 1, "itemsAccepted": 1, "errors": []}'
headers:
content-length:
- '49'
content-type:
- application/json; charset=utf-8
server:
- Microsoft-HTTPAPI/2.0
strict-transport-security:
- max-age=31536000
x-content-type-options:
- nosniff
status:
code: 200
message: OK
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {"API_BASE":
"${azure_open_ai_connection.api_base}"}, "runtimeName": "fake-runtime-name",
"sessionId": "000000000000000000000000000000000000000000000000", "sessionSetupMode":
"SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '834'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.733'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "457d8581-14b3-4b7c-8e9d-b545a00f572d",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.417'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705048228, "rootRunId": "name", "createdUtc":
"2024-01-12T08:30:28.5299765+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "e233a8cf-f6f9-413a-abb3-57f45e9163ea", "parentRunUuid":
null, "rootRunUuid": "e233a8cf-f6f9-413a-abb3-57f45e9163ea", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:30:33.0648112+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "6a87c3ae-5a75-4c5d-9eb9-5203b0062282", "status": "Preparing",
"startTimeUtc": null, "endTimeUtc": null, "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "62adccc385dd5d078797bdd0d2e1c55e120f3d5216885b81",
"azureml.promptflow.flow_lineage_id": "f1efdb93dcf9b3c17e246e7bcf0e2c7398d7bc289f8dd2c3d8f808eacc63c31f",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/3360ae705933fb90bcd290241ca0ece9/print_env_var/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"457d8581-14b3-4b7c-8e9d-b545a00f572d"}, "parameters": {}, "actionUris": {},
"scriptName": null, "target": null, "uniqueChildRunComputeTargets": [], "tags":
{}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '3849'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.051'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_inner_function_call.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.025'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.070'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.089'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '2.544'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:17:41 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '49'
content-md5:
- quXiEreYvPinSj0HsaNa/g==
content-type:
- application/octet-stream
last-modified:
- Wed, 08 Nov 2023 04:26:09 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Wed, 08 Nov 2023 04:26:09 GMT
x-ms-meta-name:
- c4092674-5e53-4c17-b78d-75353ae0edb6
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 579021dc-8ac8-4c73-8110-4642bd00c69b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:17:42 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.083'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.097'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:17:45 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '245'
content-md5:
- F+JA0a3CxcLYZ0ANRdlZbA==
content-type:
- application/octet-stream
last-modified:
- Wed, 29 Nov 2023 02:51:35 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 17 Aug 2023 10:30:09 GMT
x-ms-meta-name:
- 56efdd28-6297-4baa-aad3-be46f4b768a2
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:17:46 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {"API_BASE":
"${azure_open_ai_connection.api_base}"}, "runtimeName": "fake-runtime-name",
"sessionId": "000000000000000000000000000000000000000000000000", "sessionSetupMode":
"SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '834'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.825'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "30e9e690-d4ea-47fa-b21e-f2d2e3477afb",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.389'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705047472, "rootRunId": "name", "createdUtc":
"2024-01-12T08:17:52.7672482+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "8d919d93-e46a-485d-a698-02f4c9fdc799", "parentRunUuid":
null, "rootRunUuid": "8d919d93-e46a-485d-a698-02f4c9fdc799", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:17:56.9173918+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "6a87c3ae-5a75-4c5d-9eb9-5203b0062282", "status": "Preparing",
"startTimeUtc": null, "endTimeUtc": null, "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "62adccc385dd5d078797bdd0d2e1c55e120f3d5216885b81",
"azureml.promptflow.flow_lineage_id": "f1efdb93dcf9b3c17e246e7bcf0e2c7398d7bc289f8dd2c3d8f808eacc63c31f",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/3360ae705933fb90bcd290241ca0ece9/print_env_var/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"30e9e690-d4ea-47fa-b21e-f2d2e3477afb"}, "parameters": {}, "actionUris": {},
"scriptName": null, "target": null, "uniqueChildRunComputeTargets": [], "tags":
{}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '3849'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.042'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_show_run.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.026'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.151'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.095'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.224'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:51:37 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '379'
content-md5:
- lI/pz9jzTQ7Td3RHPL7y7w==
content-type:
- application/octet-stream
last-modified:
- Mon, 06 Nov 2023 08:30:18 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Mon, 06 Nov 2023 08:30:18 GMT
x-ms-meta-name:
- 94331215-cf7f-452a-9f1a-1d276bc9b0e4
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 3f163752-edb0-4afc-a6f5-b0a670bd7c24
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:51:38 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.070'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.136'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:51:41 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/hello-world/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '266'
content-md5:
- UZm3TyOoKWjSR23+Up6qUA==
content-type:
- application/octet-stream
last-modified:
- Tue, 19 Dec 2023 06:05:25 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 19 Dec 2023 06:05:25 GMT
x-ms-meta-name:
- 7b68bf5e-6ef4-4eb3-9f49-28f9a5baad87
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:51:43 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/hello-world/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/hello-world/flow.dag.yaml",
"runId": "batch_run_name", "runDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"runExperimentName": "", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl"},
"inputsMapping": {"name": "${data.url}"}, "connections": {}, "environmentVariables":
{}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '812'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"batch_run_name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '7.941'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "38053316-7591-4ac8-b718-d76b16b48bbe",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.407'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "38053316-7591-4ac8-b718-d76b16b48bbe",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.393'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "38053316-7591-4ac8-b718-d76b16b48bbe",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.373'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "38053316-7591-4ac8-b718-d76b16b48bbe",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.523'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.066'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.128'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:52:31 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '379'
content-md5:
- lI/pz9jzTQ7Td3RHPL7y7w==
content-type:
- application/octet-stream
last-modified:
- Mon, 06 Nov 2023 08:30:18 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Mon, 06 Nov 2023 08:30:18 GMT
x-ms-meta-name:
- 94331215-cf7f-452a-9f1a-1d276bc9b0e4
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 3f163752-edb0-4afc-a6f5-b0a670bd7c24
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:52:32 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.065'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.113'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:52:35 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/eval-classification-accuracy/calculate_accuracy.py
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '409'
content-md5:
- OyENtlqGVUTrY5zKuzo8XA==
content-type:
- application/octet-stream
last-modified:
- Tue, 21 Nov 2023 08:03:40 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 21 Nov 2023 08:03:39 GMT
x-ms-meta-name:
- fd932777-4f3a-4c1d-9c3a-24d45835d7e1
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:52:36 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/eval-classification-accuracy/calculate_accuracy.py
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/eval-classification-accuracy/flow.dag.yaml",
"runId": "eval_run_name", "runDisplayName": "sdk-cli-test-fixture-eval-run-without-llm",
"runExperimentName": "", "variantRunId": "batch_run_name", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl"},
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.result}"},
"connections": {}, "environmentVariables": {}, "runtimeName": "fake-runtime-name",
"sessionId": "000000000000000000000000000000000000000000000000", "sessionSetupMode":
"SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '950'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"eval_run_name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '5.293'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "grade", "type": "python", "source":
{"type": "code", "path": "grade.py"}, "inputs": {"groundtruth": "${inputs.groundtruth}",
"prediction": "${inputs.prediction}"}, "tool": "grade.py", "reduce": false},
{"name": "calculate_accuracy", "type": "python", "source": {"type": "code",
"path": "calculate_accuracy.py"}, "inputs": {"grades": "${grade.output}"},
"tool": "calculate_accuracy.py", "reduce": true}], "tools": [{"name": "Content
Safety (Text Analyze)", "type": "python", "inputs": {"connection": {"type":
["AzureContentSafetyConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "hate_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "self_harm_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "sexual_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "violence_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Azure Content Safety to detect harmful content.", "module": "promptflow.tools.azure_content_safety",
"function": "analyze_text", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "enable_kwargs": false, "deprecated_tools":
["content_safety_text.tools.content_safety_text_tool.analyze_text"], "tool_state":
"stable"}, {"name": "Embedding", "type": "python", "inputs": {"connection":
{"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACgElEQVR4nGWSz2vcVRTFP/e9NzOZ1KDGohASslLEH6VLV0ak4l/QpeDCrfQPcNGliODKnVm4EBdBsIjQIlhciKW0ycKFVCSNbYnjdDLtmPnmO/nO9917XcxMkjYX3uLx7nnn3HOuMK2Nix4fP78ZdrYXVkLVWjf3l3B1B+HpcjzGFtmqa6cePz7/x0dnn1n5qhj3iBJPYREIURAJuCtpY8PjReDbrf9WG7H1fuefwQU9qKztTcMJT+PNnEFvjGVDBDlSsH6p/9MLzy6+NxwVqI8RAg4IPmWedMckdLYP6O6UpIaQfvyyXG012+e79/ZfHukoS1ISMT2hGTB1RkUmNgQ5QZ0w+a2VWDq73MbdEWmfnnv6UWe7oNzPaLapl5CwuLTXK9WUGBuCjqekzhP+z52ZXOrKMD3OJg0Hh778aiOuvpnYvp05d6GJO4iAO4QAe/eV36/X5LFRV4Zmn+AdkqlL8Vjp3oVioOz+WTPzzYEgsN+fgPLYyJVheSbPPVl2ikeGZRjtG52/8rHuaV9VOlpP2OtKyVndcRVCSqOhsvxa4vW359i6OuKdD+aP8Q4SYPdOzS/flGjt1JUSaMqZ5nwa1Y8qWb/Ud/eZZkHisYezEM0m+fcelDr8F1SqW2LNK6r1jXQwyLzy1hxvrLXZulry7ocL+FS6G4QIu3fG/Px1gdYeW7LIgXU2P/115TOA5G7e3Rmj2aS/m7l5pThiZzrCcE/d1XHzbln373nw7y6veeoUm5KCNKT/IPPwbiY1hYd/l5MIT65BMFt87sU4v9D7/JMflr44uV6hGh1+L4RCkg6z5iK2tAhNLeLsNGwYA4fDYnC/drvuuFxe86NV/x+Ut27g0FvykgAAAABJRU5ErkJggg==",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "calculate_accuracy.py", "type":
"python", "inputs": {"grades": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "calculate_accuracy.py",
"function": "calculate_accuracy", "is_builtin": false, "enable_kwargs": false,
"tool_state": "stable"}, {"name": "grade.py", "type": "python", "inputs":
{"groundtruth": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "prediction": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "grade.py",
"function": "grade", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"groundtruth": {"type": "string", "default": "APP",
"description": "Please specify the groundtruth column, which contains the
true label to the outputs that your flow produces.", "is_chat_input": false},
"prediction": {"type": "string", "default": "APP", "description": "Please
specify the prediction column, which contains the predicted outputs that your
flow produces.", "is_chat_input": false}}, "outputs": {"grade": {"type": "string",
"reference": "${grade.output}", "evaluation_only": false, "is_chat_output":
false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/eval_run_name/flowRuns/eval_run_name",
"flowRunId": "eval_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-eval-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.result}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/eval_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "1885cd85-1969-4fca-8c21-d8826ed5d886",
"studioPortalEndpoint": "https://ml.azure.com/runs/eval_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13872'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.547'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "grade", "type": "python", "source":
{"type": "code", "path": "grade.py"}, "inputs": {"groundtruth": "${inputs.groundtruth}",
"prediction": "${inputs.prediction}"}, "tool": "grade.py", "reduce": false},
{"name": "calculate_accuracy", "type": "python", "source": {"type": "code",
"path": "calculate_accuracy.py"}, "inputs": {"grades": "${grade.output}"},
"tool": "calculate_accuracy.py", "reduce": true}], "tools": [{"name": "Content
Safety (Text Analyze)", "type": "python", "inputs": {"connection": {"type":
["AzureContentSafetyConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "hate_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "self_harm_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "sexual_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "violence_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Azure Content Safety to detect harmful content.", "module": "promptflow.tools.azure_content_safety",
"function": "analyze_text", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "enable_kwargs": false, "deprecated_tools":
["content_safety_text.tools.content_safety_text_tool.analyze_text"], "tool_state":
"stable"}, {"name": "Embedding", "type": "python", "inputs": {"connection":
{"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "calculate_accuracy.py", "type":
"python", "inputs": {"grades": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "calculate_accuracy.py",
"function": "calculate_accuracy", "is_builtin": false, "enable_kwargs": false,
"tool_state": "stable"}, {"name": "grade.py", "type": "python", "inputs":
{"groundtruth": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "prediction": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "grade.py",
"function": "grade", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"groundtruth": {"type": "string", "default": "APP",
"description": "Please specify the groundtruth column, which contains the
true label to the outputs that your flow produces.", "is_chat_input": false},
"prediction": {"type": "string", "default": "APP", "description": "Please
specify the prediction column, which contains the predicted outputs that your
flow produces.", "is_chat_input": false}}, "outputs": {"grade": {"type": "string",
"reference": "${grade.output}", "evaluation_only": false, "is_chat_output":
false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/eval_run_name/flowRuns/eval_run_name",
"flowRunId": "eval_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-eval-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.result}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/eval_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "1885cd85-1969-4fca-8c21-d8826ed5d886",
"studioPortalEndpoint": "https://ml.azure.com/runs/eval_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13872'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.526'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "grade", "type": "python", "source":
{"type": "code", "path": "grade.py"}, "inputs": {"groundtruth": "${inputs.groundtruth}",
"prediction": "${inputs.prediction}"}, "tool": "grade.py", "reduce": false},
{"name": "calculate_accuracy", "type": "python", "source": {"type": "code",
"path": "calculate_accuracy.py"}, "inputs": {"grades": "${grade.output}"},
"tool": "calculate_accuracy.py", "reduce": true}], "tools": [{"name": "Content
Safety (Text Analyze)", "type": "python", "inputs": {"connection": {"type":
["AzureContentSafetyConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "hate_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "self_harm_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "sexual_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "violence_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Azure Content Safety to detect harmful content.", "module": "promptflow.tools.azure_content_safety",
"function": "analyze_text", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "enable_kwargs": false, "deprecated_tools":
["content_safety_text.tools.content_safety_text_tool.analyze_text"], "tool_state":
"stable"}, {"name": "Embedding", "type": "python", "inputs": {"connection":
{"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "calculate_accuracy.py", "type":
"python", "inputs": {"grades": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "calculate_accuracy.py",
"function": "calculate_accuracy", "is_builtin": false, "enable_kwargs": false,
"tool_state": "stable"}, {"name": "grade.py", "type": "python", "inputs":
{"groundtruth": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "prediction": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "grade.py",
"function": "grade", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"groundtruth": {"type": "string", "default": "APP",
"description": "Please specify the groundtruth column, which contains the
true label to the outputs that your flow produces.", "is_chat_input": false},
"prediction": {"type": "string", "default": "APP", "description": "Please
specify the prediction column, which contains the predicted outputs that your
flow produces.", "is_chat_input": false}}, "outputs": {"grade": {"type": "string",
"reference": "${grade.output}", "evaluation_only": false, "is_chat_output":
false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/eval_run_name/flowRuns/eval_run_name",
"flowRunId": "eval_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-eval-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.result}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/eval_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "1885cd85-1969-4fca-8c21-d8826ed5d886",
"studioPortalEndpoint": "https://ml.azure.com/runs/eval_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13872'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.270'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "grade", "type": "python", "source":
{"type": "code", "path": "grade.py"}, "inputs": {"groundtruth": "${inputs.groundtruth}",
"prediction": "${inputs.prediction}"}, "tool": "grade.py", "reduce": false},
{"name": "calculate_accuracy", "type": "python", "source": {"type": "code",
"path": "calculate_accuracy.py"}, "inputs": {"grades": "${grade.output}"},
"tool": "calculate_accuracy.py", "reduce": true}], "tools": [{"name": "Content
Safety (Text Analyze)", "type": "python", "inputs": {"connection": {"type":
["AzureContentSafetyConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "hate_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "self_harm_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "sexual_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "violence_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Azure Content Safety to detect harmful content.", "module": "promptflow.tools.azure_content_safety",
"function": "analyze_text", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "enable_kwargs": false, "deprecated_tools":
["content_safety_text.tools.content_safety_text_tool.analyze_text"], "tool_state":
"stable"}, {"name": "Embedding", "type": "python", "inputs": {"connection":
{"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "calculate_accuracy.py", "type":
"python", "inputs": {"grades": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "calculate_accuracy.py",
"function": "calculate_accuracy", "is_builtin": false, "enable_kwargs": false,
"tool_state": "stable"}, {"name": "grade.py", "type": "python", "inputs":
{"groundtruth": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "prediction": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "grade.py",
"function": "grade", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"groundtruth": {"type": "string", "default": "APP",
"description": "Please specify the groundtruth column, which contains the
true label to the outputs that your flow produces.", "is_chat_input": false},
"prediction": {"type": "string", "default": "APP", "description": "Please
specify the prediction column, which contains the predicted outputs that your
flow produces.", "is_chat_input": false}}, "outputs": {"grade": {"type": "string",
"reference": "${grade.output}", "evaluation_only": false, "is_chat_output":
false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/eval_run_name/flowRuns/eval_run_name",
"flowRunId": "eval_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-eval-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.result}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/eval_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "1885cd85-1969-4fca-8c21-d8826ed5d886",
"studioPortalEndpoint": "https://ml.azure.com/runs/eval_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13872'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.231'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "grade", "type": "python", "source":
{"type": "code", "path": "grade.py"}, "inputs": {"groundtruth": "${inputs.groundtruth}",
"prediction": "${inputs.prediction}"}, "tool": "grade.py", "reduce": false},
{"name": "calculate_accuracy", "type": "python", "source": {"type": "code",
"path": "calculate_accuracy.py"}, "inputs": {"grades": "${grade.output}"},
"tool": "calculate_accuracy.py", "reduce": true}], "tools": [{"name": "Content
Safety (Text Analyze)", "type": "python", "inputs": {"connection": {"type":
["AzureContentSafetyConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "hate_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "self_harm_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "sexual_category": {"type": ["string"], "default":
"medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "violence_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Azure Content Safety to detect harmful content.", "module": "promptflow.tools.azure_content_safety",
"function": "analyze_text", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "enable_kwargs": false, "deprecated_tools":
["content_safety_text.tools.content_safety_text_tool.analyze_text"], "tool_state":
"stable"}, {"name": "Embedding", "type": "python", "inputs": {"connection":
{"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "calculate_accuracy.py", "type":
"python", "inputs": {"grades": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "calculate_accuracy.py",
"function": "calculate_accuracy", "is_builtin": false, "enable_kwargs": false,
"tool_state": "stable"}, {"name": "grade.py", "type": "python", "inputs":
{"groundtruth": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "prediction": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "grade.py",
"function": "grade", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"groundtruth": {"type": "string", "default": "APP",
"description": "Please specify the groundtruth column, which contains the
true label to the outputs that your flow produces.", "is_chat_input": false},
"prediction": {"type": "string", "default": "APP", "description": "Please
specify the prediction column, which contains the predicted outputs that your
flow produces.", "is_chat_input": false}}, "outputs": {"grade": {"type": "string",
"reference": "${grade.output}", "evaluation_only": false, "is_chat_output":
false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/eval_run_name/flowRuns/eval_run_name",
"flowRunId": "eval_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-eval-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"groundtruth": "${data.answer}", "prediction": "${run.outputs.result}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/eval_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "1885cd85-1969-4fca-8c21-d8826ed5d886",
"studioPortalEndpoint": "https://ml.azure.com/runs/eval_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13872'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.534'
status:
code: 200
message: OK
- request:
body: '{"runId": "batch_run_name", "selectRunMetadata": true, "selectRunDefinition":
true, "selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705045909, "rootRunId": "batch_run_name",
"createdUtc": "2024-01-12T07:51:49.7910367+00:00", "createdBy": {"userObjectId":
"00000000-0000-0000-0000-000000000000", "userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 6,
"statusRevision": 3, "runUuid": "de4d3748-43e9-499d-bacb-28bacd51d7dd", "parentRunUuid":
null, "rootRunUuid": "de4d3748-43e9-499d-bacb-28bacd51d7dd", "lastStartTimeUtc":
null, "currentComputeTime": null, "computeDuration": "00:00:04.0496282", "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T07:52:10.1905954+00:00", "duration":
"00:00:04.0496282", "cancelationReason": null, "currentAttemptId": 1, "runId":
"batch_run_name", "parentRunId": null, "experimentId": "b1e733a1-2a5f-4c17-bc34-4d66d2858228",
"status": "Completed", "startTimeUtc": "2024-01-12T07:52:07.2312941+00:00",
"endTimeUtc": "2024-01-12T07:52:11.2809223+00:00", "scheduleId": null, "displayName":
"sdk-cli-test-fixture-batch-run-without-llm", "name": null, "dataContainerId":
"dcid.batch_run_name", "description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": "AmlcDsi"}, "properties": {"azureml.promptflow.runtime_name":
"test-runtime-ci", "azureml.promptflow.runtime_version": "20231204.v4", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "bee356189f7e7f18671a79369c78df4cfb1bbd0c99069074",
"azureml.promptflow.flow_lineage_id": "f7ee724d91e4f4a7501bdc0b66995bc8b57f86b3a526fa2a81c34ebcccbbd912",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/36774154bc3ecde4aa21054b3052221f/hello-world/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl",
"azureml.promptflow.inputs_mapping": "{\"name\":\"${data.url}\"}", "_azureml.evaluation_run":
"promptflow.BatchRun", "azureml.promptflow.snapshot_id": "38053316-7591-4ac8-b718-d76b16b48bbe",
"azureml.promptflow.total_tokens": "0", "_azureml.evaluate_artifacts": "[{\"path\":
\"instance_results.jsonl\", \"type\": \"table\"}]"}, "parameters": {}, "actionUris":
{}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets": [],
"tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
"azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '4649'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.052'
status:
code: 200
message: OK
- request:
body: '{"runId": "eval_run_name", "selectRunMetadata": true, "selectRunDefinition":
true, "selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705045961, "rootRunId": "eval_run_name",
"createdUtc": "2024-01-12T07:52:41.9028361+00:00", "createdBy": {"userObjectId":
"00000000-0000-0000-0000-000000000000", "userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 6,
"statusRevision": 3, "runUuid": "b588472b-0935-433f-9bcb-b728c4f01254", "parentRunUuid":
null, "rootRunUuid": "b588472b-0935-433f-9bcb-b728c4f01254", "lastStartTimeUtc":
null, "currentComputeTime": null, "computeDuration": "00:00:04.3642942", "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T07:53:02.5591186+00:00", "duration":
"00:00:04.3642942", "cancelationReason": null, "currentAttemptId": 1, "runId":
"eval_run_name", "parentRunId": null, "experimentId": "7bdec279-f99c-4ed3-b0b8-dd75698b8fd0",
"status": "Completed", "startTimeUtc": "2024-01-12T07:52:58.9604157+00:00",
"endTimeUtc": "2024-01-12T07:53:03.3247099+00:00", "scheduleId": null, "displayName":
"sdk-cli-test-fixture-eval-run-without-llm", "name": null, "dataContainerId":
"dcid.eval_run_name", "description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": "AmlcDsi"}, "properties": {"azureml.promptflow.runtime_name":
"test-runtime-ci", "azureml.promptflow.runtime_version": "20231204.v4", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "f8e4236a4e78e7f7125bbd811ec7976cb330412723a530f8",
"azureml.promptflow.flow_lineage_id": "26c575d863a85371ef937096728441d8c68c3e737b5a1bfeae5ac8f3b9ccb048",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/1aa3064d06f6170abbc488cc35c713b9/eval-classification-accuracy/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl",
"azureml.promptflow.input_run_id": "batch_run_name", "azureml.promptflow.inputs_mapping":
"{\"groundtruth\":\"${data.answer}\",\"prediction\":\"${run.outputs.result}\"}",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"1885cd85-1969-4fca-8c21-d8826ed5d886", "azureml.promptflow.total_tokens":
"0", "_azureml.evaluate_artifacts": "[{\"path\": \"instance_results.jsonl\",
\"type\": \"table\"}]"}, "parameters": {}, "actionUris": {}, "scriptName":
null, "target": null, "uniqueChildRunComputeTargets": [], "tags": {}, "settings":
{}, "services": {}, "inputDatasets": [], "outputDatasets": [], "runDefinition":
null, "jobSpecification": null, "primaryMetricName": null, "createdFrom":
null, "cancelUri": null, "completeUri": null, "diagnosticsUri": null, "computeRequest":
null, "compute": null, "retainForLifetimeOfWorkspace": false, "queueingInfo":
null, "inputs": null, "outputs": {"debug_info": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_eval_run_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_eval_run_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '4797'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.045'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name/logContent
response:
body:
string: '"2024-01-12 07:51:54 +0000 49 promptflow-runtime INFO [batch_run_name]
Receiving v2 bulk run request f3011800-5f03-4911-b5a1-b1f3cf942c03: {\"flow_id\":
\"batch_run_name\", \"flow_run_id\": \"batch_run_name\", \"flow_source\":
{\"flow_source_type\": 1, \"flow_source_info\": {\"snapshot_id\": \"38053316-7591-4ac8-b718-d76b16b48bbe\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.batch_run_name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A41%3A49Z&ske=2024-01-13T15%3A51%3A49Z&sks=b&skv=2019-07-07&st=2024-01-12T07%3A41%3A53Z&se=2024-01-12T15%3A51%3A53Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl\"},
\"inputs_mapping\": {\"name\": \"${data.url}\"}, \"azure_storage_setting\":
{\"azure_storage_mode\": 1, \"storage_account_name\": \"promptfloweast4063704120\",
\"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/batch_run_name\",
\"blob_container_sas_token\": \"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A51%3A54Z&ske=2024-01-19T07%3A51%3A54Z&sks=b&skv=2019-07-07&se=2024-01-19T07%3A51%3A54Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 07:51:54 +0000 49
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 07:51:54 +0000 49 promptflow-runtime INFO Updating
batch_run_name to Status.Preparing...\n2024-01-12 07:51:55 +0000 49 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/39649/requests/batch_run_name\n2024-01-12
07:51:55 +0000 49 promptflow-runtime INFO Get snapshot sas url for
38053316-7591-4ac8-b718-d76b16b48bbe...\n2024-01-12 07:52:01 +0000 49
promptflow-runtime INFO Downloading snapshot 38053316-7591-4ac8-b718-d76b16b48bbe
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/38053316-7591-4ac8-b718-d76b16b48bbe.zip...\n2024-01-12
07:52:01 +0000 49 promptflow-runtime INFO Downloaded file /mnt/host/service/app/39649/requests/batch_run_name/38053316-7591-4ac8-b718-d76b16b48bbe.zip
with size 495 for snapshot 38053316-7591-4ac8-b718-d76b16b48bbe.\n2024-01-12
07:52:01 +0000 49 promptflow-runtime INFO Download snapshot 38053316-7591-4ac8-b718-d76b16b48bbe
completed.\n2024-01-12 07:52:01 +0000 49 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/39649/requests/batch_run_name\n2024-01-12
07:52:01 +0000 49 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 07:52:01 +0000 49 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 07:52:01 +0000 49 promptflow-runtime
INFO Starting to check process 2809 status for run batch_run_name\n2024-01-12
07:52:01 +0000 49 promptflow-runtime INFO Start checking run status
for run batch_run_name\n2024-01-12 07:52:05 +0000 2809 promptflow-runtime
INFO [49--2809] Start processing flowV2......\n2024-01-12 07:52:05 +0000 2809
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 07:52:05 +0000 2809 promptflow-runtime INFO Setting
mlflow tracking uri...\n2024-01-12 07:52:05 +0000 2809 promptflow-runtime
INFO Validating ''AzureML Data Scientist'' user authentication...\n2024-01-12
07:52:06 +0000 2809 promptflow-runtime INFO Successfully validated
''AzureML Data Scientist'' user authentication.\n2024-01-12 07:52:06 +0000 2809
promptflow-runtime INFO Using AzureMLRunStorageV2\n2024-01-12 07:52:06
+0000 2809 promptflow-runtime INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
07:52:06 +0000 2809 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 07:52:06 +0000 2809 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
07:52:06 +0000 2809 promptflow-runtime INFO Resolve data from url finished
in 0.4533178601413965 seconds\n2024-01-12 07:52:06 +0000 2809 promptflow-runtime
INFO Starting the aml run ''batch_run_name''...\n2024-01-12 07:52:07 +0000 2809
execution.bulk INFO Using fork, process count: 3\n2024-01-12 07:52:07
+0000 2850 execution.bulk INFO Process 2850 started.\n2024-01-12
07:52:07 +0000 2856 execution.bulk INFO Process 2856 started.\n2024-01-12
07:52:07 +0000 2809 execution.bulk INFO Process name: ForkProcess-32:2,
Process id: 2850, Line number: 0 start execution.\n2024-01-12 07:52:07 +0000 2809
execution.bulk INFO Process name: ForkProcess-32:3, Process id: 2856,
Line number: 1 start execution.\n2024-01-12 07:52:07 +0000 2809 execution.bulk INFO Process
name: ForkProcess-32:2, Process id: 2850, Line number: 0 completed.\n2024-01-12
07:52:07 +0000 2809 execution.bulk INFO Finished 1 / 3 lines.\n2024-01-12
07:52:07 +0000 2809 execution.bulk INFO Average execution time
for completed lines: 0.2 seconds. Estimated time for incomplete lines: 0.4
seconds.\n2024-01-12 07:52:07 +0000 2861 execution.bulk INFO Process
2861 started.\n2024-01-12 07:52:07 +0000 2809 execution.bulk INFO Process
name: ForkProcess-32:2, Process id: 2850, Line number: 2 start execution.\n2024-01-12
07:52:07 +0000 2809 execution.bulk INFO Process name: ForkProcess-32:3,
Process id: 2856, Line number: 1 completed.\n2024-01-12 07:52:07 +0000 2809
execution.bulk INFO Finished 2 / 3 lines.\n2024-01-12 07:52:07 +0000 2809
execution.bulk INFO Average execution time for completed lines: 0.14
seconds. Estimated time for incomplete lines: 0.14 seconds.\n2024-01-12 07:52:07
+0000 2809 execution.bulk INFO Process name: ForkProcess-32:2,
Process id: 2850, Line number: 2 completed.\n2024-01-12 07:52:07 +0000 2809
execution.bulk INFO Finished 3 / 3 lines.\n2024-01-12 07:52:07 +0000 2809
execution.bulk INFO Average execution time for completed lines: 0.11
seconds. Estimated time for incomplete lines: 0.0 seconds.\n2024-01-12 07:52:10
+0000 2809 execution.bulk INFO Upload status summary metrics for
run batch_run_name finished in 1.258488142862916 seconds\n2024-01-12 07:52:10
+0000 2809 promptflow-runtime INFO Successfully write run properties
{\"azureml.promptflow.total_tokens\": 0, \"_azureml.evaluate_artifacts\":
\"[{\\\"path\\\": \\\"instance_results.jsonl\\\", \\\"type\\\": \\\"table\\\"}]\"}
with run id ''batch_run_name''\n2024-01-12 07:52:10 +0000 2809 execution.bulk INFO Upload
RH properties for run batch_run_name finished in 0.0779735017567873 seconds\n2024-01-12
07:52:10 +0000 2809 promptflow-runtime INFO Creating unregistered output
Asset for Run batch_run_name...\n2024-01-12 07:52:10 +0000 2809 promptflow-runtime
INFO Created debug_info Asset: azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_debug_info/versions/1\n2024-01-12
07:52:10 +0000 2809 promptflow-runtime INFO Creating unregistered output
Asset for Run batch_run_name...\n2024-01-12 07:52:10 +0000 2809 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_flow_outputs/versions/1\n2024-01-12
07:52:10 +0000 2809 promptflow-runtime INFO Creating Artifact for Run
batch_run_name...\n2024-01-12 07:52:11 +0000 2809 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-12 07:52:11 +0000 2809 promptflow-runtime
INFO Patching batch_run_name...\n2024-01-12 07:52:11 +0000 2809 promptflow-runtime
INFO Ending the aml run ''batch_run_name'' with status ''Completed''...\n2024-01-12
07:52:12 +0000 49 promptflow-runtime INFO Process 2809 finished\n2024-01-12
07:52:12 +0000 49 promptflow-runtime INFO [49] Child process finished!\n2024-01-12
07:52:12 +0000 49 promptflow-runtime INFO [batch_run_name] End processing
bulk run\n2024-01-12 07:52:12 +0000 49 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/39649/requests/batch_run_name for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '9813'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.829'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/eval_run_name/logContent
response:
body:
string: '"2024-01-12 07:52:45 +0000 49 promptflow-runtime INFO [eval_run_name]
Receiving v2 bulk run request 9ada5207-1c07-4048-8721-8a87560f52bf: {\"flow_id\":
\"eval_run_name\", \"flow_run_id\": \"eval_run_name\", \"flow_source\": {\"flow_source_type\":
1, \"flow_source_info\": {\"snapshot_id\": \"1885cd85-1969-4fca-8c21-d8826ed5d886\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.eval_run_name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A41%3A49Z&ske=2024-01-13T15%3A51%3A49Z&sks=b&skv=2019-07-07&st=2024-01-12T07%3A42%3A44Z&se=2024-01-12T15%3A52%3A44Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl\",
\"run.outputs\": \"azureml:/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/data/azureml_batch_run_name_output_data_flow_outputs/versions/1\"},
\"inputs_mapping\": {\"groundtruth\": \"${data.answer}\", \"prediction\":
\"${run.outputs.result}\"}, \"azure_storage_setting\": {\"azure_storage_mode\":
1, \"storage_account_name\": \"promptfloweast4063704120\", \"blob_container_name\":
\"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\", \"flow_artifacts_root_path\":
\"promptflow/PromptFlowArtifacts/eval_run_name\", \"blob_container_sas_token\":
\"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A52%3A45Z&ske=2024-01-19T07%3A52%3A45Z&sks=b&skv=2019-07-07&se=2024-01-19T07%3A52%3A45Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 07:52:45 +0000 49
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 07:52:45 +0000 49 promptflow-runtime INFO Updating
eval_run_name to Status.Preparing...\n2024-01-12 07:52:45 +0000 49 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/39649/requests/eval_run_name\n2024-01-12
07:52:45 +0000 49 promptflow-runtime INFO Get snapshot sas url for
1885cd85-1969-4fca-8c21-d8826ed5d886...\n2024-01-12 07:52:52 +0000 49
promptflow-runtime INFO Downloading snapshot 1885cd85-1969-4fca-8c21-d8826ed5d886
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/1885cd85-1969-4fca-8c21-d8826ed5d886.zip...\n2024-01-12
07:52:52 +0000 49 promptflow-runtime INFO Downloaded file /mnt/host/service/app/39649/requests/eval_run_name/1885cd85-1969-4fca-8c21-d8826ed5d886.zip
with size 1243 for snapshot 1885cd85-1969-4fca-8c21-d8826ed5d886.\n2024-01-12
07:52:52 +0000 49 promptflow-runtime INFO Download snapshot 1885cd85-1969-4fca-8c21-d8826ed5d886
completed.\n2024-01-12 07:52:52 +0000 49 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/39649/requests/eval_run_name\n2024-01-12
07:52:52 +0000 49 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 07:52:52 +0000 49 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 07:52:52 +0000 49 promptflow-runtime
INFO Starting to check process 2911 status for run eval_run_name\n2024-01-12
07:52:52 +0000 49 promptflow-runtime INFO Start checking run status
for run eval_run_name\n2024-01-12 07:52:56 +0000 2911 promptflow-runtime
INFO [49--2911] Start processing flowV2......\n2024-01-12 07:52:56 +0000 2911
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 07:52:56 +0000 2911 promptflow-runtime INFO Setting
mlflow tracking uri...\n2024-01-12 07:52:56 +0000 2911 promptflow-runtime
INFO Validating ''AzureML Data Scientist'' user authentication...\n2024-01-12
07:52:56 +0000 2911 promptflow-runtime INFO Successfully validated
''AzureML Data Scientist'' user authentication.\n2024-01-12 07:52:56 +0000 2911
promptflow-runtime INFO Using AzureMLRunStorageV2\n2024-01-12 07:52:56
+0000 2911 promptflow-runtime INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
07:52:56 +0000 2911 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 07:52:57 +0000 2911 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
07:52:57 +0000 2911 promptflow-runtime INFO Resolve data from url finished
in 0.5648300694301724 seconds\n2024-01-12 07:52:58 +0000 2911 promptflow-runtime
INFO Resolve data from url finished in 0.6205331217497587 seconds\n2024-01-12
07:52:58 +0000 2911 promptflow-runtime INFO Starting the aml run ''eval_run_name''...\n2024-01-12
07:52:59 +0000 2911 execution.bulk INFO Using fork, process count:
3\n2024-01-12 07:52:59 +0000 2954 execution.bulk INFO Process 2954
started.\n2024-01-12 07:52:59 +0000 2958 execution.bulk INFO Process
2958 started.\n2024-01-12 07:52:59 +0000 2911 execution.bulk INFO Process
name: ForkProcess-34:2, Process id: 2954, Line number: 0 start execution.\n2024-01-12
07:52:59 +0000 2911 execution.bulk INFO Process name: ForkProcess-34:3,
Process id: 2958, Line number: 1 start execution.\n2024-01-12 07:52:59 +0000 2911
execution.bulk INFO Process name: ForkProcess-34:2, Process id: 2954,
Line number: 0 completed.\n2024-01-12 07:52:59 +0000 2911 execution.bulk INFO Finished
1 / 3 lines.\n2024-01-12 07:52:59 +0000 2911 execution.bulk INFO Average
execution time for completed lines: 0.21 seconds. Estimated time for incomplete
lines: 0.42 seconds.\n2024-01-12 07:52:59 +0000 2911 execution.bulk INFO Process
name: ForkProcess-34:2, Process id: 2954, Line number: 2 start execution.\n2024-01-12
07:52:59 +0000 2911 execution.bulk INFO Process name: ForkProcess-34:3,
Process id: 2958, Line number: 1 completed.\n2024-01-12 07:52:59 +0000 2911
execution.bulk INFO Finished 2 / 3 lines.\n2024-01-12 07:52:59 +0000 2961
execution.bulk INFO Process 2961 started.\n2024-01-12 07:52:59 +0000 2911
execution.bulk INFO Average execution time for completed lines: 0.13
seconds. Estimated time for incomplete lines: 0.13 seconds.\n2024-01-12 07:52:59
+0000 2911 execution.bulk INFO Process name: ForkProcess-34:2,
Process id: 2954, Line number: 2 completed.\n2024-01-12 07:52:59 +0000 2911
execution.bulk INFO Finished 3 / 3 lines.\n2024-01-12 07:52:59 +0000 2911
execution.bulk INFO Average execution time for completed lines: 0.12
seconds. Estimated time for incomplete lines: 0.0 seconds.\n2024-01-12 07:53:00
+0000 2911 execution.bulk INFO Executing aggregation nodes...\n2024-01-12
07:53:00 +0000 2911 execution.bulk INFO Finish executing aggregation
nodes.\n2024-01-12 07:53:02 +0000 2911 execution.bulk INFO Upload
status summary metrics for run eval_run_name finished in 1.4952670317143202
seconds\n2024-01-12 07:53:02 +0000 2911 execution.bulk INFO Upload
metrics for run eval_run_name finished in 0.3417100487276912 seconds\n2024-01-12
07:53:02 +0000 2911 promptflow-runtime INFO Successfully write run
properties {\"azureml.promptflow.total_tokens\": 0, \"_azureml.evaluate_artifacts\":
\"[{\\\"path\\\": \\\"instance_results.jsonl\\\", \\\"type\\\": \\\"table\\\"}]\"}
with run id ''eval_run_name''\n2024-01-12 07:53:02 +0000 2911 execution.bulk INFO Upload
RH properties for run eval_run_name finished in 0.09185165446251631 seconds\n2024-01-12
07:53:02 +0000 2911 promptflow-runtime INFO Creating unregistered output
Asset for Run eval_run_name...\n2024-01-12 07:53:02 +0000 2911 promptflow-runtime
INFO Created debug_info Asset: azureml://locations/eastus/workspaces/00000/data/azureml_eval_run_name_output_data_debug_info/versions/1\n2024-01-12
07:53:02 +0000 2911 promptflow-runtime INFO Creating unregistered output
Asset for Run eval_run_name...\n2024-01-12 07:53:03 +0000 2911 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_eval_run_name_output_data_flow_outputs/versions/1\n2024-01-12
07:53:03 +0000 2911 promptflow-runtime INFO Creating Artifact for Run
eval_run_name...\n2024-01-12 07:53:03 +0000 2911 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-12 07:53:03 +0000 2911 promptflow-runtime
INFO Patching eval_run_name...\n2024-01-12 07:53:03 +0000 2911 promptflow-runtime
INFO Ending the aml run ''eval_run_name'' with status ''Completed''...\n2024-01-12
07:53:04 +0000 49 promptflow-runtime INFO Process 2911 finished\n2024-01-12
07:53:04 +0000 49 promptflow-runtime INFO [49] Child process finished!\n2024-01-12
07:53:04 +0000 49 promptflow-runtime INFO [eval_run_name] End processing
bulk run\n2024-01-12 07:53:04 +0000 49 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/39649/requests/eval_run_name for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '10617'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.503'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_cancel.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.022'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.068'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.108'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.158'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:43:28 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/simple_eager_flow_data.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '25'
content-md5:
- zt1zN1V/HR5p7N0Sh5396w==
content-type:
- application/octet-stream
last-modified:
- Tue, 23 Jan 2024 06:27:00 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 23 Jan 2024 06:26:59 GMT
x-ms-meta-name:
- 1e376ce4-7c3b-4683-82ad-412f5cd23626
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 7e65351c-7e4b-4a4d-90f8-304eacdc36bc
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:43:32 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/simple_eager_flow_data.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.212'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.119'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:43:36 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/long_running/entry.py
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '367'
content-md5:
- 7vIDardlf1klaJmWPh9h4w==
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 09:38:51 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 25 Jan 2024 09:38:50 GMT
x-ms-meta-name:
- 0e590221-3014-45b3-97ca-b3c87651b95b
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:43:39 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/long_running/entry.py
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/long_running/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/simple_eager_flow_data.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {}, "runtimeName":
"fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '785'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '7.114'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "9a52991b-8c36-40ad-9ccc-132524648ad7",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.185'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- text/plain, application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/cancel
response:
body:
string: ''
headers:
connection:
- keep-alive
content-length:
- '0'
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '0.177'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "9a52991b-8c36-40ad-9ccc-132524648ad7",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.369'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1706175834, "rootRunId": "name", "createdUtc":
"2024-01-25T09:43:54.0903218+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": "100320005227D154", "userIdp": null, "userAltSecId": null, "userIss":
"https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "Han Wang", "upn": null},
"userId": "00000000-0000-0000-0000-000000000000", "token": null, "tokenExpiryTimeUtc":
null, "error": {"error": {"code": "SystemError", "severity": null, "message":
"''dict'' object has no attribute ''error_summary''", "messageFormat": "",
"messageParameters": {}, "referenceCode": null, "detailsUri": null, "target":
null, "details": [], "innerError": {"code": "AttributeError", "innerError":
null}, "debugInfo": null, "additionalInfo": null}, "correlation": null, "environment":
null, "location": null, "time": "2024-01-25T09:44:20.597641+00:00", "componentName":
"promptflow-runtime/20240116.v1 Designer/1.0 promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0) promptflow/0.0.116642424"}, "warnings":
null, "revision": 7, "statusRevision": 4, "runUuid": "75b5d063-7b17-4a7a-af1b-0135fd51f196",
"parentRunUuid": null, "rootRunUuid": "75b5d063-7b17-4a7a-af1b-0135fd51f196",
"lastStartTimeUtc": null, "currentComputeTime": null, "computeDuration": "00:00:12.5197205",
"effectiveStartTimeUtc": null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": "100320005227D154", "userIdp": null, "userAltSecId": null, "userIss":
"https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "Han Wang", "upn": null},
"lastModifiedUtc": "2024-01-25T09:43:56.5440371+00:00", "duration": "00:00:12.5197205",
"cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "b0eb6a8a-ae84-4bfe-9741-689a08e793d8", "status": "Canceled",
"startTimeUtc": "2024-01-25T09:44:06.9551144+00:00", "endTimeUtc": "2024-01-25T09:44:19.4748349+00:00",
"scheduleId": null, "displayName": "name", "name": null, "dataContainerId":
"dcid.name", "description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": null}, "properties": {"azureml.promptflow.runtime_name": "automatic",
"azureml.promptflow.runtime_version": "20240116.v1", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.flow_lineage_id": "5ea4d8ed1431bf7fbc26f2c74ba16e38e8927ed93ec75ff608f8e86712ef17c2",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/57d6499b57cea9bbbeb8c3ea421d33b8/long_running/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.session_id":
"eaef6f595b07c179512ceebe471607e1d38375ad0fe3a637", "azureml.promptflow.snapshot_id":
"9a52991b-8c36-40ad-9ccc-132524648ad7", "azureml.promptflow.run_mode": "Eager"},
"parameters": {}, "actionUris": {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets":
[], "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '4658'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.034'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_flow_operations_TestFlow_test_get_flow.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.024'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.146'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceworkingdirectory
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceworkingdirectory",
"name": "workspaceworkingdirectory", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
false, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureFile", "accountName": "fake_account_name",
"fileShareName": "fake-file-share-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "None"}, "systemData": {"createdAt":
"2023-04-08T02:53:06.6001169+00:00", "createdBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"createdByType": "Application", "lastModifiedAt": "2023-04-08T02:53:07.2885525+00:00",
"lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a", "lastModifiedByType":
"Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1161'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.088'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceworkingdirectory/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.145'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:07 GMT
x-ms-file-attributes:
- none
x-ms-file-creation-time:
- now
x-ms-file-last-write-time:
- now
x-ms-file-permission:
- inherit
x-ms-version:
- '2023-08-03'
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/LocalUpload?restype=directory
response:
body:
string: "\uFEFF<?xml version=\"1.0\" encoding=\"utf-8\"?><Error><Code>ResourceAlreadyExists</Code><Message>The
specified resource already exists.\nRequestId:494627b8-e01a-00db-2b04-45cbb1000000\nTime:2024-01-12T03:10:08.5872550Z</Message></Error>"
headers:
content-length:
- '228'
content-type:
- application/xml
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-error-code:
- ResourceAlreadyExists
x-ms-version:
- '2023-08-03'
status:
code: 409
message: The specified resource already exists.
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:09 GMT
x-ms-file-attributes:
- none
x-ms-file-creation-time:
- now
x-ms-file-last-write-time:
- now
x-ms-file-permission:
- inherit
x-ms-version:
- '2023-08-03'
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users?restype=directory
response:
body:
string: "\uFEFF<?xml version=\"1.0\" encoding=\"utf-8\"?><Error><Code>ResourceAlreadyExists</Code><Message>The
specified resource already exists.\nRequestId:2015fefb-201a-0099-7a04-457231000000\nTime:2024-01-12T03:10:10.8558247Z</Message></Error>"
headers:
content-length:
- '228'
content-type:
- application/xml
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-error-code:
- ResourceAlreadyExists
x-ms-version:
- '2023-08-03'
status:
code: 409
message: The specified resource already exists.
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:10 GMT
x-ms-file-attributes:
- none
x-ms-file-creation-time:
- now
x-ms-file-last-write-time:
- now
x-ms-file-permission:
- inherit
x-ms-version:
- '2023-08-03'
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users%2Funknown_user?restype=directory
response:
body:
string: "\uFEFF<?xml version=\"1.0\" encoding=\"utf-8\"?><Error><Code>ResourceAlreadyExists</Code><Message>The
specified resource already exists.\nRequestId:e91ceca5-f01a-007e-3004-459dcb000000\nTime:2024-01-12T03:10:11.9389239Z</Message></Error>"
headers:
content-length:
- '228'
content-type:
- application/xml
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-error-code:
- ResourceAlreadyExists
x-ms-version:
- '2023-08-03'
status:
code: 409
message: The specified resource already exists.
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:12 GMT
x-ms-file-attributes:
- none
x-ms-file-creation-time:
- now
x-ms-file-last-write-time:
- now
x-ms-file-permission:
- inherit
x-ms-version:
- '2023-08-03'
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users%2Funknown_user%2Fpromptflow?restype=directory
response:
body:
string: "\uFEFF<?xml version=\"1.0\" encoding=\"utf-8\"?><Error><Code>ResourceAlreadyExists</Code><Message>The
specified resource already exists.\nRequestId:dc666209-a01a-0073-2104-45551f000000\nTime:2024-01-12T03:10:12.9765801Z</Message></Error>"
headers:
content-length:
- '228'
content-type:
- application/xml
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-error-code:
- ResourceAlreadyExists
x-ms-version:
- '2023-08-03'
status:
code: 409
message: The specified resource already exists.
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:13 GMT
x-ms-version:
- '2023-08-03'
method: GET
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users%2Funknown_user%2Fpromptflow%2Fflow_name?restype=directory
response:
body:
string: "\uFEFF<?xml version=\"1.0\" encoding=\"utf-8\"?><Error><Code>ResourceNotFound</Code><Message>The
specified resource does not exist.\nRequestId:37a5a67c-001a-00ec-2304-45191d000000\nTime:2024-01-12T03:10:14.0112840Z</Message></Error>"
headers:
content-length:
- '223'
content-type:
- application/xml
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-error-code:
- ResourceNotFound
x-ms-version:
- '2023-08-03'
status:
code: 404
message: The specified resource does not exist.
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:14 GMT
x-ms-file-attributes:
- none
x-ms-file-creation-time:
- now
x-ms-file-last-write-time:
- now
x-ms-file-permission:
- inherit
x-ms-version:
- '2023-08-03'
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users%2Funknown_user%2Fpromptflow%2Fflow_name?restype=directory
response:
body:
string: ''
headers:
content-length:
- '0'
last-modified:
- Fri, 12 Jan 2024 03:10:15 GMT
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-file-attributes:
- Directory
x-ms-file-change-time:
- '2024-01-12T03:10:15.0262208Z'
x-ms-file-creation-time:
- '2024-01-12T03:10:15.0262208Z'
x-ms-file-id:
- '13835129046796599296'
x-ms-file-last-write-time:
- '2024-01-12T03:10:15.0262208Z'
x-ms-file-parent-id:
- '10088082484072808448'
x-ms-request-server-encrypted:
- 'true'
x-ms-version:
- '2023-08-03'
status:
code: 201
message: Created
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:15 GMT
x-ms-file-attributes:
- none
x-ms-file-creation-time:
- now
x-ms-file-last-write-time:
- now
x-ms-file-permission:
- inherit
x-ms-version:
- '2023-08-03'
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users%2Funknown_user%2Fpromptflow%2Fflow_name%2F__pycache__?restype=directory
response:
body:
string: ''
headers:
content-length:
- '0'
last-modified:
- Fri, 12 Jan 2024 03:10:16 GMT
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-file-attributes:
- Directory
x-ms-file-change-time:
- '2024-01-12T03:10:16.0895486Z'
x-ms-file-creation-time:
- '2024-01-12T03:10:16.0895486Z'
x-ms-file-id:
- '13835093862424510464'
x-ms-file-last-write-time:
- '2024-01-12T03:10:16.0895486Z'
x-ms-file-parent-id:
- '13835129046796599296'
x-ms-request-server-encrypted:
- 'true'
x-ms-version:
- '2023-08-03'
status:
code: 201
message: Created
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-content-length:
- '14'
x-ms-date:
- Fri, 12 Jan 2024 03:10:16 GMT
x-ms-file-attributes:
- none
x-ms-file-creation-time:
- now
x-ms-file-last-write-time:
- now
x-ms-file-permission:
- Inherit
x-ms-type:
- file
x-ms-version:
- '2023-08-03'
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users/unknown_user/promptflow/flow_name/.gitattributes
response:
body:
string: ''
headers:
content-length:
- '0'
last-modified:
- Fri, 12 Jan 2024 03:10:17 GMT
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-file-attributes:
- Archive
x-ms-file-change-time:
- '2024-01-12T03:10:17.0911484Z'
x-ms-file-creation-time:
- '2024-01-12T03:10:17.0911484Z'
x-ms-file-id:
- '13835164231168688128'
x-ms-file-last-write-time:
- '2024-01-12T03:10:17.0911484Z'
x-ms-file-parent-id:
- '13835129046796599296'
x-ms-request-server-encrypted:
- 'true'
x-ms-version:
- '2023-08-03'
status:
code: 201
message: Created
- request:
body: '* text eol=lf
'
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '14'
Content-MD5:
- nYmkCopuDuFj82431amzZw==
Content-Type:
- application/octet-stream
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:17 GMT
x-ms-range:
- bytes=0-13
x-ms-version:
- '2023-08-03'
x-ms-write:
- update
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users/unknown_user/promptflow/flow_name/.gitattributes?comp=range
response:
body:
string: ''
headers:
content-length:
- '0'
content-md5:
- nYmkCopuDuFj82431amzZw==
last-modified:
- Fri, 12 Jan 2024 03:10:18 GMT
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-file-last-write-time:
- '2024-01-12T03:10:18.1285902Z'
x-ms-request-server-encrypted:
- 'true'
x-ms-version:
- '2023-08-03'
status:
code: 201
message: Created
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-content-length:
- '250'
x-ms-date:
- Fri, 12 Jan 2024 03:10:18 GMT
x-ms-file-attributes:
- none
x-ms-file-creation-time:
- now
x-ms-file-last-write-time:
- now
x-ms-file-permission:
- Inherit
x-ms-type:
- file
x-ms-version:
- '2023-08-03'
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users/unknown_user/promptflow/flow_name/flow.dag.yaml
response:
body:
string: ''
headers:
content-length:
- '0'
last-modified:
- Fri, 12 Jan 2024 03:10:19 GMT
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-file-attributes:
- Archive
x-ms-file-change-time:
- '2024-01-12T03:10:19.1789755Z'
x-ms-file-creation-time:
- '2024-01-12T03:10:19.1789755Z'
x-ms-file-id:
- '13835076270238466048'
x-ms-file-last-write-time:
- '2024-01-12T03:10:19.1789755Z'
x-ms-file-parent-id:
- '13835129046796599296'
x-ms-request-server-encrypted:
- 'true'
x-ms-version:
- '2023-08-03'
status:
code: 201
message: Created
- request:
body: "inputs:\n name:\n type: string\n default: hod\noutputs:\n result:\n
\ type: string\n reference: ${hello_world.output}\nnodes:\n- name: hello_world\n
\ type: python\n source:\n type: code\n path: hello_world.py\n inputs:\n
\ name: ${inputs.name}\n"
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '250'
Content-MD5:
- CT1FTZp5JScB8fq+HjnINw==
Content-Type:
- application/octet-stream
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:19 GMT
x-ms-range:
- bytes=0-249
x-ms-version:
- '2023-08-03'
x-ms-write:
- update
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users/unknown_user/promptflow/flow_name/flow.dag.yaml?comp=range
response:
body:
string: ''
headers:
content-length:
- '0'
content-md5:
- CT1FTZp5JScB8fq+HjnINw==
last-modified:
- Fri, 12 Jan 2024 03:10:20 GMT
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-file-last-write-time:
- '2024-01-12T03:10:20.2164176Z'
x-ms-request-server-encrypted:
- 'true'
x-ms-version:
- '2023-08-03'
status:
code: 201
message: Created
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-content-length:
- '105'
x-ms-date:
- Fri, 12 Jan 2024 03:10:20 GMT
x-ms-file-attributes:
- none
x-ms-file-creation-time:
- now
x-ms-file-last-write-time:
- now
x-ms-file-permission:
- Inherit
x-ms-type:
- file
x-ms-version:
- '2023-08-03'
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users/unknown_user/promptflow/flow_name/hello_world.py
response:
body:
string: ''
headers:
content-length:
- '0'
last-modified:
- Fri, 12 Jan 2024 03:10:21 GMT
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-file-attributes:
- Archive
x-ms-file-change-time:
- '2024-01-12T03:10:21.2658070Z'
x-ms-file-creation-time:
- '2024-01-12T03:10:21.2658070Z'
x-ms-file-id:
- '13835146638982643712'
x-ms-file-last-write-time:
- '2024-01-12T03:10:21.2658070Z'
x-ms-file-parent-id:
- '13835129046796599296'
x-ms-request-server-encrypted:
- 'true'
x-ms-version:
- '2023-08-03'
status:
code: 201
message: Created
- request:
body: "from promptflow import tool\n\n\n@tool\ndef hello_world(name: str) -> str:\n
\ return f\"Hello World {name}!\"\n"
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '105'
Content-MD5:
- fGMkkiZAjGs8PW/AMiYppA==
Content-Type:
- application/octet-stream
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:21 GMT
x-ms-range:
- bytes=0-104
x-ms-version:
- '2023-08-03'
x-ms-write:
- update
method: PUT
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users/unknown_user/promptflow/flow_name/hello_world.py?comp=range
response:
body:
string: ''
headers:
content-length:
- '0'
content-md5:
- fGMkkiZAjGs8PW/AMiYppA==
last-modified:
- Fri, 12 Jan 2024 03:10:22 GMT
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-file-last-write-time:
- '2024-01-12T03:10:22.2823416Z'
x-ms-request-server-encrypted:
- 'true'
x-ms-version:
- '2023-08-03'
status:
code: 201
message: Created
- request:
body: '{"flowName": "flow_display_name", "description": "test flow description",
"tags": {"owner": "sdk-test"}, "flowDefinitionFilePath": "Users/unknown_user/promptflow/flow_name/flow.dag.yaml",
"flowType": "default"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '282'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/Flows
response:
body:
string: '{"eTag": {}, "studioPortalEndpoint": "https://ml.azure.com/prompts/flow/3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/b7731056-ea64-481e-ad53-c45f2363c29a/details?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"flowId": "b7731056-ea64-481e-ad53-c45f2363c29a", "flowName": "flow_display_name",
"description": "test flow description", "tags": {"owner": "sdk-test"}, "flowType":
"Default", "experimentId": "00000000-0000-0000-0000-000000000000", "createdDate":
"2024-01-12T03:10:24.9118275Z", "lastModifiedDate": "2024-01-12T03:10:24.9118275Z",
"owner": {"userObjectId": "00000000-0000-0000-0000-000000000000", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587"},
"flowResourceId": "azureml://locations/eastus/workspaces/00000/flows/b7731056-ea64-481e-ad53-c45f2363c29a",
"isArchived": false, "flowDefinitionFilePath": "Users/unknown_user/promptflow/flow_name/flow.dag.yaml"}'
headers:
connection:
- keep-alive
content-length:
- '1100'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.569'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-file-share/12.14.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 03:10:25 GMT
x-ms-version:
- '2023-08-03'
method: HEAD
uri: https://fake_account_name.file.core.windows.net/fake-file-share-name/Users/unknown_user/promptflow/flow_name/flow.dag.yaml
response:
body:
string: ''
headers:
content-length:
- '250'
content-type:
- application/octet-stream
last-modified:
- Fri, 12 Jan 2024 03:10:20 GMT
server:
- Windows-Azure-File/1.0 Microsoft-HTTPAPI/2.0
x-ms-file-attributes:
- Archive
x-ms-file-change-time:
- '2024-01-12T03:10:20.2164176Z'
x-ms-file-creation-time:
- '2024-01-12T03:10:19.1789755Z'
x-ms-file-id:
- '13835076270238466048'
x-ms-file-last-write-time:
- '2024-01-12T03:10:20.2164176Z'
x-ms-file-parent-id:
- '13835129046796599296'
x-ms-type:
- File
x-ms-version:
- '2023-08-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/Flows/b7731056-ea64-481e-ad53-c45f2363c29a?experimentId=00000000-0000-0000-0000-000000000000
response:
body:
string: '{"timestamp": "2024-01-12T03:10:24.9429158+00:00", "eTag": {}, "studioPortalEndpoint":
"https://ml.azure.com/prompts/flow/3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/b7731056-ea64-481e-ad53-c45f2363c29a/details?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"flowId": "b7731056-ea64-481e-ad53-c45f2363c29a", "flowName": "flow_display_name",
"description": "test flow description", "tags": {"owner": "sdk-test"}, "flowType":
"Default", "experimentId": "00000000-0000-0000-0000-000000000000", "createdDate":
"2024-01-12T03:10:24.9118275Z", "lastModifiedDate": "2024-01-12T03:10:24.9118275Z",
"owner": {"userObjectId": "00000000-0000-0000-0000-000000000000", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587"},
"flowResourceId": "azureml://locations/eastus/workspaces/00000/flows/b7731056-ea64-481e-ad53-c45f2363c29a",
"isArchived": false, "flowDefinitionFilePath": "Users/unknown_user/promptflow/flow_name/flow.dag.yaml"}'
headers:
connection:
- keep-alive
content-length:
- '1148'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.541'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_list_connection_spec.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.10.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/api-version=2023-06-01-preview
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}}'
headers:
cache-control:
- no-cache
content-length:
- '3519'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.019'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.10.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?api-version=2023-04-01-preview&count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.063'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/Connections/specs
response:
body:
string: '[{"connectionCategory": 15, "flowValueType": "AzureContentSafetyConnection",
"connectionType": "AzureContentSafety", "connectionTypeDisplayName": "Azure
content safety", "configSpecs": [{"name": "api_key", "displayName": "API key",
"configValueType": "Secret", "isOptional": false}, {"name": "endpoint", "displayName":
"Endpoint", "configValueType": "String", "isOptional": false}, {"name": "api_version",
"displayName": "API version", "configValueType": "String", "defaultValue":
"2023-04-30-preview", "isOptional": false}, {"name": "api_type", "displayName":
"API type", "configValueType": "String", "defaultValue": "Content Safety",
"isOptional": false}], "module": "promptflow.connections"}, {"connectionCategory":
13, "flowValueType": "AzureOpenAIConnection", "connectionType": "AzureOpenAI",
"connectionTypeDisplayName": "Azure OpenAI", "configSpecs": [{"name": "api_key",
"displayName": "API key", "configValueType": "Secret", "isOptional": false},
{"name": "api_base", "displayName": "API base", "configValueType": "String",
"isOptional": false}, {"name": "api_type", "displayName": "API type", "configValueType":
"String", "defaultValue": "azure", "isOptional": false}, {"name": "api_version",
"displayName": "API version", "configValueType": "String", "defaultValue":
"2023-07-01-preview", "isOptional": false}, {"name": "resource_id", "displayName":
"Resource id", "configValueType": "String", "isOptional": false}], "module":
"promptflow.connections"}, {"connectionCategory": 14, "flowValueType": "CognitiveSearchConnection",
"connectionType": "CognitiveSearch", "connectionTypeDisplayName": "Cognitive
search", "configSpecs": [{"name": "api_key", "displayName": "API key", "configValueType":
"Secret", "isOptional": false}, {"name": "api_base", "displayName": "API base",
"configValueType": "String", "isOptional": false}, {"name": "api_version",
"displayName": "API version", "configValueType": "String", "defaultValue":
"2023-07-01-Preview", "isOptional": false}], "module": "promptflow.connections"},
{"connectionCategory": 16, "flowValueType": "CustomConnection", "connectionType":
"Custom", "connectionTypeDisplayName": "Custom", "module": "promptflow.connections"},
{"connectionCategory": 16, "flowValueType": "OpenAIConnection", "connectionType":
"OpenAI", "connectionTypeDisplayName": "OpenAI", "configSpecs": [{"name":
"api_key", "displayName": "API key", "configValueType": "Secret", "isOptional":
false}, {"name": "organization", "displayName": "Organization", "configValueType":
"String", "isOptional": true}], "module": "promptflow.connections"}, {"connectionCategory":
16, "flowValueType": "QdrantConnection", "connectionType": "Qdrant", "connectionTypeDisplayName":
"Qdrant", "configSpecs": [{"name": "api_key", "displayName": "API key", "configValueType":
"Secret", "isOptional": false}, {"name": "api_base", "displayName": "API base",
"configValueType": "String", "isOptional": false}], "module": "promptflow_vectordb.connections.qdrant"},
{"connectionCategory": 16, "flowValueType": "SerpConnection", "connectionType":
"Serp", "connectionTypeDisplayName": "Serp", "configSpecs": [{"name": "api_key",
"displayName": "API key", "configValueType": "Secret", "isOptional": false}],
"module": "promptflow.connections"}, {"connectionCategory": 16, "flowValueType":
"WeaviateConnection", "connectionType": "Weaviate", "connectionTypeDisplayName":
"Weaviate", "configSpecs": [{"name": "api_key", "displayName": "API key",
"configValueType": "Secret", "isOptional": false}, {"name": "api_base", "displayName":
"API base", "configValueType": "String", "isOptional": false}], "module":
"promptflow_vectordb.connections.weaviate"}]'
headers:
connection:
- keep-alive
content-length:
- '3402'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.769'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_detail_against_partial_fail_run.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.023'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.108'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.084'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.145'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:49:52 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/data.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '52'
content-md5:
- kHimciLnA7d3/I2LBUeLNA==
content-type:
- application/octet-stream
last-modified:
- Fri, 22 Sep 2023 09:37:22 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 22 Sep 2023 09:37:22 GMT
x-ms-meta-name:
- db87715d-65de-40cc-a281-09c0115699f3
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 6666ca9c-d7c3-4d85-b18c-12643adb9046
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:49:53 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/data.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.094'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.128'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:49:56 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/partial_fail/data.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '52'
content-md5:
- kHimciLnA7d3/I2LBUeLNA==
content-type:
- application/octet-stream
last-modified:
- Fri, 22 Sep 2023 09:37:31 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 22 Sep 2023 09:37:30 GMT
x-ms-meta-name:
- aa1844d8-4898-4daa-8100-6140558fc7c9
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:49:57 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/partial_fail/data.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/partial_fail/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/data.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {}, "runtimeName":
"fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '773'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '9.976'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/bbbb2b4cfb3d236b4f9b6110fd82264c/data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12846'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.208'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/bbbb2b4cfb3d236b4f9b6110fd82264c/data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12846'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.222'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACgElEQVR4nGWSz2vcVRTFP/e9NzOZ1KDGohASslLEH6VLV0ak4l/QpeDCrfQPcNGliODKnVm4EBdBsIjQIlhciKW0ycKFVCSNbYnjdDLtmPnmO/nO9917XcxMkjYX3uLx7nnn3HOuMK2Nix4fP78ZdrYXVkLVWjf3l3B1B+HpcjzGFtmqa6cePz7/x0dnn1n5qhj3iBJPYREIURAJuCtpY8PjReDbrf9WG7H1fuefwQU9qKztTcMJT+PNnEFvjGVDBDlSsH6p/9MLzy6+NxwVqI8RAg4IPmWedMckdLYP6O6UpIaQfvyyXG012+e79/ZfHukoS1ISMT2hGTB1RkUmNgQ5QZ0w+a2VWDq73MbdEWmfnnv6UWe7oNzPaLapl5CwuLTXK9WUGBuCjqekzhP+z52ZXOrKMD3OJg0Hh778aiOuvpnYvp05d6GJO4iAO4QAe/eV36/X5LFRV4Zmn+AdkqlL8Vjp3oVioOz+WTPzzYEgsN+fgPLYyJVheSbPPVl2ikeGZRjtG52/8rHuaV9VOlpP2OtKyVndcRVCSqOhsvxa4vW359i6OuKdD+aP8Q4SYPdOzS/flGjt1JUSaMqZ5nwa1Y8qWb/Ud/eZZkHisYezEM0m+fcelDr8F1SqW2LNK6r1jXQwyLzy1hxvrLXZulry7ocL+FS6G4QIu3fG/Px1gdYeW7LIgXU2P/115TOA5G7e3Rmj2aS/m7l5pThiZzrCcE/d1XHzbln373nw7y6veeoUm5KCNKT/IPPwbiY1hYd/l5MIT65BMFt87sU4v9D7/JMflr44uV6hGh1+L4RCkg6z5iK2tAhNLeLsNGwYA4fDYnC/drvuuFxe86NV/x+Ut27g0FvykgAAAABJRU5ErkJggg==",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/bbbb2b4cfb3d236b4f9b6110fd82264c/data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12846'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.226'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/bbbb2b4cfb3d236b4f9b6110fd82264c/data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12846'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.208'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/bbbb2b4cfb3d236b4f9b6110fd82264c/data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12846'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.665'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/childRuns?endIndex=24&startIndex=0
response:
body:
string: '[{"run_id": "name_0", "status": "Completed", "error": null, "inputs":
{"key": "no", "line_number": 0}, "output": {"output": null}, "metrics": null,
"request": null, "parent_run_id": "name", "root_run_id": "name", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:50:26.771369Z",
"end_time": "2024-01-12T08:50:26.777759Z", "index": 0, "api_calls": [{"name":
"get_env_var", "type": "Tool", "inputs": {"key": "no"}, "output": {"value":
null}, "start_time": 1705049426.774557, "end_time": 1705049426.775613, "error":
null, "children": null, "node_name": "print_env"}], "variant_id": "", "name":
"", "description": "", "tags": null, "system_metrics": {"duration": 0.00639,
"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}, "result":
{"output": null}, "upload_metrics": false}, {"run_id": "name_2", "status":
"Completed", "error": null, "inputs": {"key": "matter", "line_number": 2},
"output": {"output": null}, "metrics": null, "request": null, "parent_run_id":
"name", "root_run_id": "name", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:50:26.88379Z", "end_time": "2024-01-12T08:50:26.889697Z",
"index": 2, "api_calls": [{"name": "get_env_var", "type": "Tool", "inputs":
{"key": "matter"}, "output": {"value": null}, "start_time": 1705049426.887009,
"end_time": 1705049426.888023, "error": null, "children": null, "node_name":
"print_env"}], "variant_id": "", "name": "", "description": "", "tags": null,
"system_metrics": {"duration": 0.005907, "prompt_tokens": 0, "completion_tokens":
0, "total_tokens": 0}, "result": {"output": null}, "upload_metrics": false},
{"run_id": "name_1", "status": "Failed", "error": {"message": "Execution failure
in ''print_env'': (Exception) expected raise!", "messageFormat": "Execution
failure in ''{node_name}'': {error_type_and_message}", "messageParameters":
{"node_name": "print_env", "error_type_and_message": "(Exception) expected
raise!"}, "referenceCode": "Tool/__pf_main__", "code": "UserError", "innerError":
{"code": "ToolExecutionError", "innerError": null}, "additionalInfo": [{"type":
"ToolExecutionErrorDetails", "info": {"type": "Exception", "message": "expected
raise!", "traceback": "Traceback (most recent call last):\n File \"/mnt/host/service/app/39415/requests/name/print_env.py\",
line 9, in get_env_var\n raise Exception(\"expected raise!\")\nException:
expected raise!\n", "filename": "/mnt/host/service/app/39415/requests/name/print_env.py",
"lineno": 9, "name": "get_env_var"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''print_env'': (Exception) expected raise!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"expected raise!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39415/requests/name/print_env.py\",
line 9, in get_env_var\n raise Exception(\"expected raise!\")\n", "innerException":
null}}}, "inputs": {"key": "raise", "line_number": 1}, "output": null, "metrics":
null, "request": null, "parent_run_id": "name", "root_run_id": "name", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:50:26.77979Z",
"end_time": "2024-01-12T08:50:26.953981Z", "index": 1, "api_calls": [{"name":
"get_env_var", "type": "Tool", "inputs": {"key": "raise"}, "output": null,
"start_time": 1705049426.782672, "end_time": 1705049426.783439, "error": {"message":
"expected raise!", "type": "Exception"}, "children": null, "node_name": "print_env"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.174191, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}]'
headers:
connection:
- keep-alive
content-length:
- '6638'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.729'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/childRuns?endIndex=49&startIndex=25
response:
body:
string: '[]'
headers:
connection:
- keep-alive
content-length:
- '2'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '1.083'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705049404, "rootRunId": "name", "createdUtc":
"2024-01-12T08:50:04.3467507+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": {"error": {"code": "UserError", "severity":
null, "message": "Execution failure in ''print_env'': (Exception) expected
raise!", "messageFormat": "{\"totalChildRuns\": 3, \"userErrorChildRuns\":
1, \"systemErrorChildRuns\": 0, \"errorDetails\": [{\"code\": \"UserError/ToolExecutionError\",
\"messageFormat\": \"Execution failure in ''{node_name}'': {error_type_and_message}\",
\"count\": 1}]}", "messageParameters": {"node_name": "print_env", "error_type_and_message":
"(Exception) expected raise!"}, "referenceCode": "Tool/__pf_main__", "detailsUri":
null, "target": null, "details": [], "innerError": {"code": "ToolExecutionError",
"innerError": null}, "debugInfo": {"type": "ToolExecutionError", "message":
"Execution failure in ''print_env'': (Exception) expected raise!", "stackTrace":
"\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"expected raise!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39415/requests/name/print_env.py\",
line 9, in get_env_var\n raise Exception(\"expected raise!\")\n", "innerException":
null, "data": null, "errorResponse": null}, "data": null, "errorResponse":
null}, "additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "expected raise!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39415/requests/name/print_env.py\",
line 9, in get_env_var\n raise Exception(\"expected raise!\")\nException:
expected raise!\n", "filename": "/mnt/host/service/app/39415/requests/name/print_env.py",
"lineno": 9, "name": "get_env_var"}}]}, "correlation": null, "environment":
null, "location": null, "time": "2024-01-12T08:50:30.744399+00:00", "componentName":
"promptflow-runtime/20231204.v4 Designer/1.0 promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0) promptflow/1.2.0rc1"}, "warnings":
null, "revision": 7, "statusRevision": 3, "runUuid": "d689f844-6eae-4a78-a210-4779ec098e1e",
"parentRunUuid": null, "rootRunUuid": "d689f844-6eae-4a78-a210-4779ec098e1e",
"lastStartTimeUtc": null, "currentComputeTime": null, "computeDuration": "00:00:04.8547843",
"effectiveStartTimeUtc": null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:50:30.0347672+00:00", "duration":
"00:00:04.8547843", "cancelationReason": null, "currentAttemptId": 1, "runId":
"name", "parentRunId": null, "experimentId": "1848033e-509f-4c52-92ee-f0a0121fe99e",
"status": "Completed", "startTimeUtc": "2024-01-12T08:50:26.1204745+00:00",
"endTimeUtc": "2024-01-12T08:50:30.9752588+00:00", "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "31858a8dfc61a642bb0ab6df4fc3ac7b3807de4ffead00d1",
"azureml.promptflow.flow_lineage_id": "de293df4f50622090c0225852d59cd663b6b629e38728f7444fa0f12255a0647",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/bc20fa079592a8072922533f187e3184/partial_fail/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/bbbb2b4cfb3d236b4f9b6110fd82264c/data.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8", "azureml.promptflow.total_tokens":
"0", "_azureml.evaluate_artifacts": "[{\"path\": \"instance_results.jsonl\",
\"type\": \"table\"}]"}, "parameters": {}, "actionUris": {}, "scriptName":
null, "target": null, "uniqueChildRunComputeTargets": [], "tags": {}, "settings":
{}, "services": {}, "inputDatasets": [], "outputDatasets": [], "runDefinition":
null, "jobSpecification": null, "primaryMetricName": null, "createdFrom":
null, "cancelUri": null, "completeUri": null, "diagnosticsUri": null, "computeRequest":
null, "compute": null, "retainForLifetimeOfWorkspace": false, "queueingInfo":
null, "inputs": null, "outputs": {"debug_info": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '9873'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.037'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/logContent
response:
body:
string: '"2024-01-12 08:50:11 +0000 78 promptflow-runtime INFO [name]
Receiving v2 bulk run request afd6522c-26b0-4e2e-966c-43176d74cb1f: {\"flow_id\":
\"name\", \"flow_run_id\": \"name\", \"flow_source\": {\"flow_source_type\":
1, \"flow_source_info\": {\"snapshot_id\": \"f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A46%3A24Z&ske=2024-01-13T15%3A56%3A24Z&sks=b&skv=2019-07-07&st=2024-01-12T08%3A40%3A10Z&se=2024-01-12T16%3A50%3A10Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/bbbb2b4cfb3d236b4f9b6110fd82264c/data.jsonl\"},
\"azure_storage_setting\": {\"azure_storage_mode\": 1, \"storage_account_name\":
\"promptfloweast4063704120\", \"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/name\", \"blob_container_sas_token\":
\"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A50%3A11Z&ske=2024-01-19T08%3A50%3A11Z&sks=b&skv=2019-07-07&se=2024-01-19T08%3A50%3A11Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 08:50:11 +0000 78
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:50:11 +0000 78 promptflow-runtime INFO Updating
name to Status.Preparing...\n2024-01-12 08:50:11 +0000 78 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/39415/requests/name\n2024-01-12
08:50:11 +0000 78 promptflow-runtime INFO Get snapshot sas url for
f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8...\n2024-01-12 08:50:18 +0000 78
promptflow-runtime INFO Downloading snapshot f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8.zip...\n2024-01-12
08:50:18 +0000 78 promptflow-runtime INFO Downloaded file /mnt/host/service/app/39415/requests/name/f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8.zip
with size 701 for snapshot f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8.\n2024-01-12
08:50:18 +0000 78 promptflow-runtime INFO Download snapshot f36c2e06-b2b3-4ee5-9ed4-127ae490ffa8
completed.\n2024-01-12 08:50:18 +0000 78 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/39415/requests/name\n2024-01-12
08:50:18 +0000 78 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 08:50:18 +0000 78 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 08:50:18 +0000 78 promptflow-runtime
INFO Starting to check process 5940 status for run name\n2024-01-12 08:50:18
+0000 78 promptflow-runtime INFO Start checking run status for run
name\n2024-01-12 08:50:22 +0000 5940 promptflow-runtime INFO [78--5940]
Start processing flowV2......\n2024-01-12 08:50:22 +0000 5940 promptflow-runtime
INFO Runtime version: 20231204.v4. PromptFlow version: 1.2.0rc1\n2024-01-12
08:50:22 +0000 5940 promptflow-runtime INFO Setting mlflow tracking
uri...\n2024-01-12 08:50:23 +0000 5940 promptflow-runtime INFO Validating
''AzureML Data Scientist'' user authentication...\n2024-01-12 08:50:25 +0000 5940
promptflow-runtime INFO Successfully validated ''AzureML Data Scientist''
user authentication.\n2024-01-12 08:50:25 +0000 5940 promptflow-runtime
INFO Using AzureMLRunStorageV2\n2024-01-12 08:50:25 +0000 5940 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:50:25 +0000 5940 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 08:50:25 +0000 5940 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:50:25 +0000 5940 promptflow-runtime INFO Resolve data from url finished
in 0.47867807000875473 seconds\n2024-01-12 08:50:25 +0000 5940 promptflow-runtime
INFO Starting the aml run ''name''...\n2024-01-12 08:50:26 +0000 5940
execution WARNING Starting run without column mapping may lead to
unexpected results. Please consult the following documentation for more information:
https://aka.ms/pf/column-mapping\n2024-01-12 08:50:26 +0000 5940 execution.bulk INFO Using
fork, process count: 3\n2024-01-12 08:50:26 +0000 5987 execution.bulk INFO Process
5987 started.\n2024-01-12 08:50:26 +0000 5992 execution.bulk INFO Process
5992 started.\n2024-01-12 08:50:26 +0000 5940 execution.bulk INFO Process
name: ForkProcess-74:3, Process id: 5987, Line number: 0 start execution.\n2024-01-12
08:50:26 +0000 5940 execution.bulk INFO Process name: ForkProcess-74:4,
Process id: 5992, Line number: 1 start execution.\n2024-01-12 08:50:26 +0000 5981
execution.bulk INFO Process 5981 started.\n2024-01-12 08:50:26 +0000 5940
execution.bulk INFO Process name: ForkProcess-74:2, Process id: 5981,
Line number: 2 start execution.\n2024-01-12 08:50:26 +0000 5940 execution.bulk INFO Process
name: ForkProcess-74:3, Process id: 5987, Line number: 0 completed.\n2024-01-12
08:50:26 +0000 5940 execution.bulk INFO Finished 1 / 3 lines.\n2024-01-12
08:50:26 +0000 5992 execution ERROR Node print_env in line
1 failed. Exception: Execution failure in ''print_env'': (Exception) expected
raise!.\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39415/requests/name/print_env.py\",
line 9, in get_env_var\n raise Exception(\"expected raise!\")\nException:
expected raise!\n\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\npromptflow._core._errors.ToolExecutionError: Execution
failure in ''print_env'': (Exception) expected raise!\n2024-01-12 08:50:26
+0000 5940 execution.bulk INFO Average execution time for completed
lines: 0.24 seconds. Estimated time for incomplete lines: 0.48 seconds.\n2024-01-12
08:50:26 +0000 5992 execution ERROR Execution of one node has
failed. Cancelling all running nodes: print_env.\n2024-01-12 08:50:26 +0000 5940
execution.bulk INFO Process name: ForkProcess-74:2, Process id: 5981,
Line number: 2 completed.\n2024-01-12 08:50:26 +0000 5940 execution.bulk INFO Finished
2 / 3 lines.\n2024-01-12 08:50:27 +0000 5940 execution.bulk INFO Average
execution time for completed lines: 0.16 seconds. Estimated time for incomplete
lines: 0.16 seconds.\n2024-01-12 08:50:27 +0000 5940 execution.bulk INFO Process
name: ForkProcess-74:4, Process id: 5992, Line number: 1 completed.\n2024-01-12
08:50:27 +0000 5940 execution.bulk INFO Finished 3 / 3 lines.\n2024-01-12
08:50:27 +0000 5940 execution.bulk INFO Average execution time
for completed lines: 0.18 seconds. Estimated time for incomplete lines: 0.0
seconds.\n2024-01-12 08:50:28 +0000 5940 execution ERROR 1/3
flow run failed, indexes: [1], exception of index 1: Execution failure in
''print_env'': (Exception) expected raise!\n2024-01-12 08:50:29 +0000 5940
execution.bulk INFO Upload status summary metrics for run name finished
in 1.7115172129124403 seconds\n2024-01-12 08:50:30 +0000 5940 promptflow-runtime
INFO Successfully write run properties {\"azureml.promptflow.total_tokens\":
0, \"_azureml.evaluate_artifacts\": \"[{\\\"path\\\": \\\"instance_results.jsonl\\\",
\\\"type\\\": \\\"table\\\"}]\"} with run id ''name''\n2024-01-12 08:50:30
+0000 5940 execution.bulk INFO Upload RH properties for run name
finished in 0.08352885954082012 seconds\n2024-01-12 08:50:30 +0000 5940
promptflow-runtime INFO Creating unregistered output Asset for Run name...\n2024-01-12
08:50:30 +0000 5940 promptflow-runtime INFO Created debug_info Asset:
azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1\n2024-01-12
08:50:30 +0000 5940 promptflow-runtime INFO Creating unregistered output
Asset for Run name...\n2024-01-12 08:50:30 +0000 5940 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1\n2024-01-12
08:50:30 +0000 5940 promptflow-runtime INFO Creating Artifact for Run
name...\n2024-01-12 08:50:30 +0000 5940 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-12 08:50:30 +0000 5940 promptflow-runtime
INFO Patching name...\n2024-01-12 08:50:30 +0000 5940 promptflow-runtime
WARNING [name] Run failed. Execution stackTrace: Traceback (most recent call
last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n [REDACTED:
External StackTrace]\n\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n [REDACTED:
External StackTrace]\n\n2024-01-12 08:50:30 +0000 5940 promptflow-runtime
INFO Ending the aml run ''name'' with status ''Completed''...\n2024-01-12
08:50:32 +0000 78 promptflow-runtime INFO Process 5940 finished\n2024-01-12
08:50:32 +0000 78 promptflow-runtime INFO [78] Child process finished!\n2024-01-12
08:50:32 +0000 78 promptflow-runtime INFO [name] End processing bulk
run\n2024-01-12 08:50:32 +0000 78 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/39415/requests/name for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '13657'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.694'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_get_details_against_partial_completed_run.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.029'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.059'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.099'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.125'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:53:29 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/numbers.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '290'
content-md5:
- O6LvdPMlN/PM6b7fPh75Jw==
content-type:
- application/octet-stream
last-modified:
- Tue, 26 Dec 2023 09:52:29 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 26 Dec 2023 09:52:29 GMT
x-ms-meta-name:
- 229ce463-c199-4588-a9c4-c30e7a4bd25c
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 4cda6a90-97ca-4ad5-b420-5e347369f614
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:53:30 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/numbers.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.082'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.097'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:53:34 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/two/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '242'
content-md5:
- ySItjr6//pwsGdjLZfgq0A==
content-type:
- application/octet-stream
last-modified:
- Tue, 26 Dec 2023 09:53:17 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 26 Dec 2023 09:52:31 GMT
x-ms-meta-name:
- 5b163be8-ab29-4f62-bef0-cd64d56ab269
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:53:35 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/two/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/two/flow.dag.yaml", "runId":
"run1", "runDisplayName": "run1", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/numbers.jsonl"},
"inputsMapping": {"number": "${data.value}"}, "connections": {}, "environmentVariables":
{}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '783'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"run1"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.387'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_two", "type": "python", "source":
{"type": "code", "path": "mod_two.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_two.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_two.py", "type": "python", "inputs":
{"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_two.py", "function": "mod_two",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_two.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run1/flowRuns/run1",
"flowRunId": "run1", "flowRunDisplayName": "run1", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/7e5ac781513436b66626132fefb20d1f/numbers.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"number": "${data.value}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run1/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "d15d3732-36a4-45ac-b53b-e1fe695b2e77",
"studioPortalEndpoint": "https://ml.azure.com/runs/run1?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12860'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.458'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_two", "type": "python", "source":
{"type": "code", "path": "mod_two.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_two.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_two.py", "type": "python", "inputs":
{"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_two.py", "function": "mod_two",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_two.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run1/flowRuns/run1",
"flowRunId": "run1", "flowRunDisplayName": "run1", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/7e5ac781513436b66626132fefb20d1f/numbers.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"number": "${data.value}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run1/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "d15d3732-36a4-45ac-b53b-e1fe695b2e77",
"studioPortalEndpoint": "https://ml.azure.com/runs/run1?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12860'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.472'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_two", "type": "python", "source":
{"type": "code", "path": "mod_two.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_two.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_two.py", "type": "python", "inputs":
{"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_two.py", "function": "mod_two",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_two.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run1/flowRuns/run1",
"flowRunId": "run1", "flowRunDisplayName": "run1", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/7e5ac781513436b66626132fefb20d1f/numbers.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"number": "${data.value}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run1/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "d15d3732-36a4-45ac-b53b-e1fe695b2e77",
"studioPortalEndpoint": "https://ml.azure.com/runs/run1?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12860'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.262'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_two", "type": "python", "source":
{"type": "code", "path": "mod_two.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_two.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_two.py", "type": "python", "inputs":
{"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_two.py", "function": "mod_two",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_two.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run1/flowRuns/run1",
"flowRunId": "run1", "flowRunDisplayName": "run1", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/7e5ac781513436b66626132fefb20d1f/numbers.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"number": "${data.value}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run1/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "d15d3732-36a4-45ac-b53b-e1fe695b2e77",
"studioPortalEndpoint": "https://ml.azure.com/runs/run1?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12860'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.273'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_two", "type": "python", "source":
{"type": "code", "path": "mod_two.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_two.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_two.py", "type": "python", "inputs":
{"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_two.py", "function": "mod_two",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_two.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run1/flowRuns/run1",
"flowRunId": "run1", "flowRunDisplayName": "run1", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/7e5ac781513436b66626132fefb20d1f/numbers.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"number": "${data.value}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run1/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "d15d3732-36a4-45ac-b53b-e1fe695b2e77",
"studioPortalEndpoint": "https://ml.azure.com/runs/run1?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12860'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.576'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_two", "type": "python", "source":
{"type": "code", "path": "mod_two.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_two.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_two.py", "type": "python", "inputs":
{"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_two.py", "function": "mod_two",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_two.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run1/flowRuns/run1",
"flowRunId": "run1", "flowRunDisplayName": "run1", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/7e5ac781513436b66626132fefb20d1f/numbers.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"number": "${data.value}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run1/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "d15d3732-36a4-45ac-b53b-e1fe695b2e77",
"studioPortalEndpoint": "https://ml.azure.com/runs/run1?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12860'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.422'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_two", "type": "python", "source":
{"type": "code", "path": "mod_two.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_two.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_two.py", "type": "python", "inputs":
{"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_two.py", "function": "mod_two",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_two.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run1/flowRuns/run1",
"flowRunId": "run1", "flowRunDisplayName": "run1", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/7e5ac781513436b66626132fefb20d1f/numbers.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"number": "${data.value}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run1/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "d15d3732-36a4-45ac-b53b-e1fe695b2e77",
"studioPortalEndpoint": "https://ml.azure.com/runs/run1?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12860'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.279'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1/childRuns?endIndex=24&startIndex=0
response:
body:
string: '[{"run_id": "run1_2", "status": "Completed", "error": null, "inputs":
{"number": 2, "line_number": 2}, "output": {"output": 2}, "metrics": null,
"request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:58.36557Z",
"end_time": "2024-01-12T08:53:58.379665Z", "index": 2, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 2}, "output": {"value": 2},
"start_time": 1705049638.376116, "end_time": 1705049638.377043, "error": null,
"children": null, "node_name": "mod_two"}], "variant_id": "", "name": "",
"description": "", "tags": null, "system_metrics": {"duration": 0.014095,
"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}, "result":
{"output": 2}, "upload_metrics": false}, {"run_id": "run1_1", "status": "Failed",
"error": {"message": "Execution failure in ''mod_two'': (Exception) cannot
mod 2!", "messageFormat": "Execution failure in ''{node_name}'': {error_type_and_message}",
"messageParameters": {"node_name": "mod_two", "error_type_and_message": "(Exception)
cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code": "UserError",
"innerError": {"code": "ToolExecutionError", "innerError": null}, "additionalInfo":
[{"type": "ToolExecutionErrorDetails", "info": {"type": "Exception", "message":
"cannot mod 2!", "traceback": "Traceback (most recent call last):\n File
\"/mnt/host/service/app/39649/requests/run1/mod_two.py\", line 7, in mod_two\n raise
Exception(\"cannot mod 2!\")\nException: cannot mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 1, "line_number": 1}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:58.382319Z",
"end_time": "2024-01-12T08:53:58.499971Z", "index": 1, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 1}, "output": null, "start_time":
1705049638.40109, "end_time": 1705049638.401905, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.117652, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run1_0", "status":
"Completed", "error": null, "inputs": {"number": 0, "line_number": 0}, "output":
{"output": 0}, "metrics": null, "request": null, "parent_run_id": "run1",
"root_run_id": "run1", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:53:58.298983Z", "end_time": "2024-01-12T08:53:58.326471Z",
"index": 0, "api_calls": [{"name": "mod_two", "type": "Tool", "inputs": {"number":
0}, "output": {"value": 0}, "start_time": 1705049638.316181, "end_time": 1705049638.316979,
"error": null, "children": null, "node_name": "mod_two"}], "variant_id": "",
"name": "", "description": "", "tags": null, "system_metrics": {"duration":
0.027488, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
"result": {"output": 0}, "upload_metrics": false}, {"run_id": "run1_4", "status":
"Completed", "error": null, "inputs": {"number": 4, "line_number": 4}, "output":
{"output": 4}, "metrics": null, "request": null, "parent_run_id": "run1",
"root_run_id": "run1", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:53:58.445979Z", "end_time": "2024-01-12T08:53:58.472475Z",
"index": 4, "api_calls": [{"name": "mod_two", "type": "Tool", "inputs": {"number":
4}, "output": {"value": 4}, "start_time": 1705049638.469504, "end_time": 1705049638.470396,
"error": null, "children": null, "node_name": "mod_two"}], "variant_id": "",
"name": "", "description": "", "tags": null, "system_metrics": {"duration":
0.026496, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
"result": {"output": 4}, "upload_metrics": false}, {"run_id": "run1_3", "status":
"Failed", "error": {"message": "Execution failure in ''mod_two'': (Exception)
cannot mod 2!", "messageFormat": "Execution failure in ''{node_name}'': {error_type_and_message}",
"messageParameters": {"node_name": "mod_two", "error_type_and_message": "(Exception)
cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code": "UserError",
"innerError": {"code": "ToolExecutionError", "innerError": null}, "additionalInfo":
[{"type": "ToolExecutionErrorDetails", "info": {"type": "Exception", "message":
"cannot mod 2!", "traceback": "Traceback (most recent call last):\n File
\"/mnt/host/service/app/39649/requests/run1/mod_two.py\", line 7, in mod_two\n raise
Exception(\"cannot mod 2!\")\nException: cannot mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 3, "line_number": 3}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:58.440354Z",
"end_time": "2024-01-12T08:53:58.453661Z", "index": 3, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 3}, "output": null, "start_time":
1705049638.445455, "end_time": 1705049638.448284, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.013307, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run1_7", "status":
"Failed", "error": {"message": "Execution failure in ''mod_two'': (Exception)
cannot mod 2!", "messageFormat": "Execution failure in ''{node_name}'': {error_type_and_message}",
"messageParameters": {"node_name": "mod_two", "error_type_and_message": "(Exception)
cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code": "UserError",
"innerError": {"code": "ToolExecutionError", "innerError": null}, "additionalInfo":
[{"type": "ToolExecutionErrorDetails", "info": {"type": "Exception", "message":
"cannot mod 2!", "traceback": "Traceback (most recent call last):\n File
\"/mnt/host/service/app/39649/requests/run1/mod_two.py\", line 7, in mod_two\n raise
Exception(\"cannot mod 2!\")\nException: cannot mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 7, "line_number": 7}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:58.508983Z",
"end_time": "2024-01-12T08:53:58.621053Z", "index": 7, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 7}, "output": null, "start_time":
1705049638.512829, "end_time": 1705049638.513634, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.11207, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run1_8", "status":
"Completed", "error": null, "inputs": {"number": 8, "line_number": 8}, "output":
{"output": 8}, "metrics": null, "request": null, "parent_run_id": "run1",
"root_run_id": "run1", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:53:58.529121Z", "end_time": "2024-01-12T08:53:58.538356Z",
"index": 8, "api_calls": [{"name": "mod_two", "type": "Tool", "inputs": {"number":
8}, "output": {"value": 8}, "start_time": 1705049638.535074, "end_time": 1705049638.535882,
"error": null, "children": null, "node_name": "mod_two"}], "variant_id": "",
"name": "", "description": "", "tags": null, "system_metrics": {"duration":
0.009235, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
"result": {"output": 8}, "upload_metrics": false}, {"run_id": "run1_6", "status":
"Completed", "error": null, "inputs": {"number": 6, "line_number": 6}, "output":
{"output": 6}, "metrics": null, "request": null, "parent_run_id": "run1",
"root_run_id": "run1", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:53:58.481907Z", "end_time": "2024-01-12T08:53:58.489299Z",
"index": 6, "api_calls": [{"name": "mod_two", "type": "Tool", "inputs": {"number":
6}, "output": {"value": 6}, "start_time": 1705049638.486027, "end_time": 1705049638.487006,
"error": null, "children": null, "node_name": "mod_two"}], "variant_id": "",
"name": "", "description": "", "tags": null, "system_metrics": {"duration":
0.007392, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0},
"result": {"output": 6}, "upload_metrics": false}, {"run_id": "run1_9", "status":
"Failed", "error": {"message": "Execution failure in ''mod_two'': (Exception)
cannot mod 2!", "messageFormat": "Execution failure in ''{node_name}'': {error_type_and_message}",
"messageParameters": {"node_name": "mod_two", "error_type_and_message": "(Exception)
cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code": "UserError",
"innerError": {"code": "ToolExecutionError", "innerError": null}, "additionalInfo":
[{"type": "ToolExecutionErrorDetails", "info": {"type": "Exception", "message":
"cannot mod 2!", "traceback": "Traceback (most recent call last):\n File
\"/mnt/host/service/app/39649/requests/run1/mod_two.py\", line 7, in mod_two\n raise
Exception(\"cannot mod 2!\")\nException: cannot mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 9, "line_number": 9}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:58.529591Z",
"end_time": "2024-01-12T08:53:58.643284Z", "index": 9, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 9}, "output": null, "start_time":
1705049638.534116, "end_time": 1705049638.535141, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.113693, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run1_10", "status":
"Completed", "error": null, "inputs": {"number": 10, "line_number": 10}, "output":
{"output": 10}, "metrics": null, "request": null, "parent_run_id": "run1",
"root_run_id": "run1", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:53:58.567671Z", "end_time": "2024-01-12T08:53:58.573553Z",
"index": 10, "api_calls": [{"name": "mod_two", "type": "Tool", "inputs": {"number":
10}, "output": {"value": 10}, "start_time": 1705049638.570297, "end_time":
1705049638.571094, "error": null, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.005882, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": {"output": 10}, "upload_metrics": false}, {"run_id": "run1_11",
"status": "Failed", "error": {"message": "Execution failure in ''mod_two'':
(Exception) cannot mod 2!", "messageFormat": "Execution failure in ''{node_name}'':
{error_type_and_message}", "messageParameters": {"node_name": "mod_two", "error_type_and_message":
"(Exception) cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code":
"UserError", "innerError": {"code": "ToolExecutionError", "innerError": null},
"additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 2!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 11, "line_number": 11}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:58.623786Z",
"end_time": "2024-01-12T08:53:58.634409Z", "index": 11, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 11}, "output": null, "start_time":
1705049638.627165, "end_time": 1705049638.629035, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.010623, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run1_5", "status":
"Failed", "error": {"message": "Execution failure in ''mod_two'': (Exception)
cannot mod 2!", "messageFormat": "Execution failure in ''{node_name}'': {error_type_and_message}",
"messageParameters": {"node_name": "mod_two", "error_type_and_message": "(Exception)
cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code": "UserError",
"innerError": {"code": "ToolExecutionError", "innerError": null}, "additionalInfo":
[{"type": "ToolExecutionErrorDetails", "info": {"type": "Exception", "message":
"cannot mod 2!", "traceback": "Traceback (most recent call last):\n File
\"/mnt/host/service/app/39649/requests/run1/mod_two.py\", line 7, in mod_two\n raise
Exception(\"cannot mod 2!\")\nException: cannot mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 5, "line_number": 5}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:58.478106Z",
"end_time": "2024-01-12T08:53:58.485903Z", "index": 5, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 5}, "output": null, "start_time":
1705049638.480935, "end_time": 1705049638.481815, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.007797, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run1_12", "status":
"Completed", "error": null, "inputs": {"number": 12, "line_number": 12}, "output":
{"output": 12}, "metrics": null, "request": null, "parent_run_id": "run1",
"root_run_id": "run1", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:53:58.857735Z", "end_time": "2024-01-12T08:53:58.8594Z",
"index": 12, "api_calls": [{"name": "mod_two", "type": "Tool", "inputs": {"number":
12}, "output": {"value": 12}, "start_time": 1705049638.85876, "end_time":
1705049638.858846, "error": null, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.001665, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": {"output": 12}, "upload_metrics": false}, {"run_id": "run1_13",
"status": "Failed", "error": {"message": "Execution failure in ''mod_two'':
(Exception) cannot mod 2!", "messageFormat": "Execution failure in ''{node_name}'':
{error_type_and_message}", "messageParameters": {"node_name": "mod_two", "error_type_and_message":
"(Exception) cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code":
"UserError", "innerError": {"code": "ToolExecutionError", "innerError": null},
"additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 2!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 13, "line_number": 13}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:59.081618Z",
"end_time": "2024-01-12T08:53:59.084304Z", "index": 13, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 13}, "output": null, "start_time":
1705049639.082711, "end_time": 1705049639.082963, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.002686, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run1_14", "status":
"Completed", "error": null, "inputs": {"number": 14, "line_number": 14}, "output":
{"output": 14}, "metrics": null, "request": null, "parent_run_id": "run1",
"root_run_id": "run1", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:53:59.095533Z", "end_time": "2024-01-12T08:53:59.097688Z",
"index": 14, "api_calls": [{"name": "mod_two", "type": "Tool", "inputs": {"number":
14}, "output": {"value": 14}, "start_time": 1705049639.096824, "end_time":
1705049639.096905, "error": null, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.002155, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": {"output": 14}, "upload_metrics": false}, {"run_id": "run1_15",
"status": "Failed", "error": {"message": "Execution failure in ''mod_two'':
(Exception) cannot mod 2!", "messageFormat": "Execution failure in ''{node_name}'':
{error_type_and_message}", "messageParameters": {"node_name": "mod_two", "error_type_and_message":
"(Exception) cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code":
"UserError", "innerError": {"code": "ToolExecutionError", "innerError": null},
"additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 2!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 15, "line_number": 15}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:59.11042Z",
"end_time": "2024-01-12T08:53:59.112899Z", "index": 15, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 15}, "output": null, "start_time":
1705049639.111395, "end_time": 1705049639.111456, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.002479, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run1_16", "status":
"Completed", "error": null, "inputs": {"number": 16, "line_number": 16}, "output":
{"output": 16}, "metrics": null, "request": null, "parent_run_id": "run1",
"root_run_id": "run1", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:53:59.122603Z", "end_time": "2024-01-12T08:53:59.125415Z",
"index": 16, "api_calls": [{"name": "mod_two", "type": "Tool", "inputs": {"number":
16}, "output": {"value": 16}, "start_time": 1705049639.123932, "end_time":
1705049639.124128, "error": null, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.002812, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": {"output": 16}, "upload_metrics": false}, {"run_id": "run1_17",
"status": "Failed", "error": {"message": "Execution failure in ''mod_two'':
(Exception) cannot mod 2!", "messageFormat": "Execution failure in ''{node_name}'':
{error_type_and_message}", "messageParameters": {"node_name": "mod_two", "error_type_and_message":
"(Exception) cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code":
"UserError", "innerError": {"code": "ToolExecutionError", "innerError": null},
"additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 2!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 17, "line_number": 17}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:59.201596Z",
"end_time": "2024-01-12T08:53:59.204779Z", "index": 17, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 17}, "output": null, "start_time":
1705049639.202943, "end_time": 1705049639.203028, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.003183, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run1_18", "status":
"Completed", "error": null, "inputs": {"number": 18, "line_number": 18}, "output":
{"output": 18}, "metrics": null, "request": null, "parent_run_id": "run1",
"root_run_id": "run1", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:53:59.216109Z", "end_time": "2024-01-12T08:53:59.21858Z",
"index": 18, "api_calls": [{"name": "mod_two", "type": "Tool", "inputs": {"number":
18}, "output": {"value": 18}, "start_time": 1705049639.217608, "end_time":
1705049639.217688, "error": null, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.002471, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": {"output": 18}, "upload_metrics": false}, {"run_id": "run1_19",
"status": "Failed", "error": {"message": "Execution failure in ''mod_two'':
(Exception) cannot mod 2!", "messageFormat": "Execution failure in ''{node_name}'':
{error_type_and_message}", "messageParameters": {"node_name": "mod_two", "error_type_and_message":
"(Exception) cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "code":
"UserError", "innerError": {"code": "ToolExecutionError", "innerError": null},
"additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 2!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_two'': (Exception) cannot mod 2!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null}}}, "inputs": {"number": 19, "line_number": 19}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run1", "root_run_id": "run1", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:53:59.231917Z",
"end_time": "2024-01-12T08:53:59.267557Z", "index": 19, "api_calls": [{"name":
"mod_two", "type": "Tool", "inputs": {"number": 19}, "output": null, "start_time":
1705049639.233619, "end_time": 1705049639.233699, "error": {"message": "cannot
mod 2!", "type": "Exception"}, "children": null, "node_name": "mod_two"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.03564, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}]'
headers:
connection:
- keep-alive
content-length:
- '57297'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.805'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1/childRuns?endIndex=49&startIndex=25
response:
body:
string: '[]'
headers:
connection:
- keep-alive
content-length:
- '2'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '0.746'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.077'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.118'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:55:07 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/three/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '248'
content-md5:
- B3pfhMEmUOazTzjlKaw6Sw==
content-type:
- application/octet-stream
last-modified:
- Tue, 26 Dec 2023 10:04:33 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 26 Dec 2023 09:54:37 GMT
x-ms-meta-name:
- 613ead8f-69ca-4c47-9cba-01f0dd473279
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:55:08 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/three/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/three/flow.dag.yaml", "runId":
"run2", "runDisplayName": "run2", "runExperimentName": "", "variantRunId": "run1",
"batchDataInput": {}, "inputsMapping": {"number": "${run.outputs.output}"},
"connections": {}, "environmentVariables": {}, "runtimeName": "fake-runtime-name",
"sessionId": "000000000000000000000000000000000000000000000000", "sessionSetupMode":
"SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '734'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"run2"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.653'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_three", "type": "python", "source":
{"type": "code", "path": "mod_three.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_three.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACgElEQVR4nGWSz2vcVRTFP/e9NzOZ1KDGohASslLEH6VLV0ak4l/QpeDCrfQPcNGliODKnVm4EBdBsIjQIlhciKW0ycKFVCSNbYnjdDLtmPnmO/nO9917XcxMkjYX3uLx7nnn3HOuMK2Nix4fP78ZdrYXVkLVWjf3l3B1B+HpcjzGFtmqa6cePz7/x0dnn1n5qhj3iBJPYREIURAJuCtpY8PjReDbrf9WG7H1fuefwQU9qKztTcMJT+PNnEFvjGVDBDlSsH6p/9MLzy6+NxwVqI8RAg4IPmWedMckdLYP6O6UpIaQfvyyXG012+e79/ZfHukoS1ISMT2hGTB1RkUmNgQ5QZ0w+a2VWDq73MbdEWmfnnv6UWe7oNzPaLapl5CwuLTXK9WUGBuCjqekzhP+z52ZXOrKMD3OJg0Hh778aiOuvpnYvp05d6GJO4iAO4QAe/eV36/X5LFRV4Zmn+AdkqlL8Vjp3oVioOz+WTPzzYEgsN+fgPLYyJVheSbPPVl2ikeGZRjtG52/8rHuaV9VOlpP2OtKyVndcRVCSqOhsvxa4vW359i6OuKdD+aP8Q4SYPdOzS/flGjt1JUSaMqZ5nwa1Y8qWb/Ud/eZZkHisYezEM0m+fcelDr8F1SqW2LNK6r1jXQwyLzy1hxvrLXZulry7ocL+FS6G4QIu3fG/Px1gdYeW7LIgXU2P/115TOA5G7e3Rmj2aS/m7l5pThiZzrCcE/d1XHzbln373nw7y6veeoUm5KCNKT/IPPwbiY1hYd/l5MIT65BMFt87sU4v9D7/JMflr44uV6hGh1+L4RCkg6z5iK2tAhNLeLsNGwYA4fDYnC/drvuuFxe86NV/x+Ut27g0FvykgAAAABJRU5ErkJggg==",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_three.py", "type": "python",
"inputs": {"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_three.py", "function": "mod_three",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_three.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run2/flowRuns/run2",
"flowRunId": "run2", "flowRunDisplayName": "run2", "batchDataInput": {}, "flowRunType":
"FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci", "inputsMapping":
{"number": "${run.outputs.output}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run2/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "a25bab13-d2d7-4c36-83bf-96979de95507",
"studioPortalEndpoint": "https://ml.azure.com/runs/run2?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12766'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.225'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_three", "type": "python", "source":
{"type": "code", "path": "mod_three.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_three.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_three.py", "type": "python",
"inputs": {"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_three.py", "function": "mod_three",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_three.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run2/flowRuns/run2",
"flowRunId": "run2", "flowRunDisplayName": "run2", "batchDataInput": {}, "flowRunType":
"FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci", "inputsMapping":
{"number": "${run.outputs.output}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run2/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "a25bab13-d2d7-4c36-83bf-96979de95507",
"studioPortalEndpoint": "https://ml.azure.com/runs/run2?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12766'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.496'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_three", "type": "python", "source":
{"type": "code", "path": "mod_three.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_three.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_three.py", "type": "python",
"inputs": {"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_three.py", "function": "mod_three",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_three.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run2/flowRuns/run2",
"flowRunId": "run2", "flowRunDisplayName": "run2", "batchDataInput": {}, "flowRunType":
"FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci", "inputsMapping":
{"number": "${run.outputs.output}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run2/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "a25bab13-d2d7-4c36-83bf-96979de95507",
"studioPortalEndpoint": "https://ml.azure.com/runs/run2?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12766'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.245'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_three", "type": "python", "source":
{"type": "code", "path": "mod_three.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_three.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_three.py", "type": "python",
"inputs": {"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_three.py", "function": "mod_three",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_three.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run2/flowRuns/run2",
"flowRunId": "run2", "flowRunDisplayName": "run2", "batchDataInput": {}, "flowRunType":
"FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci", "inputsMapping":
{"number": "${run.outputs.output}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run2/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "a25bab13-d2d7-4c36-83bf-96979de95507",
"studioPortalEndpoint": "https://ml.azure.com/runs/run2?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12766'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.381'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_three", "type": "python", "source":
{"type": "code", "path": "mod_three.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_three.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_three.py", "type": "python",
"inputs": {"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_three.py", "function": "mod_three",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_three.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run2/flowRuns/run2",
"flowRunId": "run2", "flowRunDisplayName": "run2", "batchDataInput": {}, "flowRunType":
"FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci", "inputsMapping":
{"number": "${run.outputs.output}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run2/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "a25bab13-d2d7-4c36-83bf-96979de95507",
"studioPortalEndpoint": "https://ml.azure.com/runs/run2?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12766'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.410'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_three", "type": "python", "source":
{"type": "code", "path": "mod_three.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_three.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_three.py", "type": "python",
"inputs": {"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_three.py", "function": "mod_three",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_three.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run2/flowRuns/run2",
"flowRunId": "run2", "flowRunDisplayName": "run2", "batchDataInput": {}, "flowRunType":
"FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci", "inputsMapping":
{"number": "${run.outputs.output}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run2/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "a25bab13-d2d7-4c36-83bf-96979de95507",
"studioPortalEndpoint": "https://ml.azure.com/runs/run2?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12766'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.408'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "mod_three", "type": "python", "source":
{"type": "code", "path": "mod_three.py"}, "inputs": {"number": "${inputs.number}"},
"tool": "mod_three.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "mod_three.py", "type": "python",
"inputs": {"number": {"type": ["int"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "mod_three.py", "function": "mod_three",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"number": {"type": "int", "is_chat_input": false}}, "outputs": {"output":
{"type": "int", "reference": "${mod_three.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/run2/flowRuns/run2",
"flowRunId": "run2", "flowRunDisplayName": "run2", "batchDataInput": {}, "flowRunType":
"FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci", "inputsMapping":
{"number": "${run.outputs.output}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run2/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "a25bab13-d2d7-4c36-83bf-96979de95507",
"studioPortalEndpoint": "https://ml.azure.com/runs/run2?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12766'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.451'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2/childRuns?endIndex=24&startIndex=0
response:
body:
string: '[{"run_id": "run2_0", "status": "Completed", "error": null, "inputs":
{"number": 0, "line_number": 0}, "output": {"output": 0}, "metrics": null,
"request": null, "parent_run_id": "run2", "root_run_id": "run2", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:55:31.465237Z",
"end_time": "2024-01-12T08:55:31.475743Z", "index": 0, "api_calls": [{"name":
"mod_three", "type": "Tool", "inputs": {"number": 0}, "output": {"value":
0}, "start_time": 1705049731.472262, "end_time": 1705049731.473128, "error":
null, "children": null, "node_name": "mod_three"}], "variant_id": "", "name":
"", "description": "", "tags": null, "system_metrics": {"duration": 0.010506,
"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}, "result":
{"output": 0}, "upload_metrics": false}, {"run_id": "run2_12", "status": "Completed",
"error": null, "inputs": {"number": 12, "line_number": 12}, "output": {"output":
12}, "metrics": null, "request": null, "parent_run_id": "run2", "root_run_id":
"run2", "source_run_id": null, "flow_id": "default_flow_id", "start_time":
"2024-01-12T08:55:31.656075Z", "end_time": "2024-01-12T08:55:31.661754Z",
"index": 12, "api_calls": [{"name": "mod_three", "type": "Tool", "inputs":
{"number": 12}, "output": {"value": 12}, "start_time": 1705049731.658932,
"end_time": 1705049731.659931, "error": null, "children": null, "node_name":
"mod_three"}], "variant_id": "", "name": "", "description": "", "tags": null,
"system_metrics": {"duration": 0.005679, "prompt_tokens": 0, "completion_tokens":
0, "total_tokens": 0}, "result": {"output": 12}, "upload_metrics": false},
{"run_id": "run2_2", "status": "Failed", "error": {"message": "Execution failure
in ''mod_three'': (Exception) cannot mod 3!", "messageFormat": "Execution
failure in ''{node_name}'': {error_type_and_message}", "messageParameters":
{"node_name": "mod_three", "error_type_and_message": "(Exception) cannot mod
3!"}, "referenceCode": "Tool/__pf_main__", "code": "UserError", "innerError":
{"code": "ToolExecutionError", "innerError": null}, "additionalInfo": [{"type":
"ToolExecutionErrorDetails", "info": {"type": "Exception", "message": "cannot
mod 3!", "traceback": "Traceback (most recent call last):\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n", "filename": "/mnt/host/service/app/39649/requests/run2/mod_three.py",
"lineno": 7, "name": "mod_three"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_three'': (Exception) cannot mod 3!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 3!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\n", "innerException":
null}}}, "inputs": {"number": 2, "line_number": 2}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run2", "root_run_id": "run2", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:55:31.490355Z",
"end_time": "2024-01-12T08:55:31.575384Z", "index": 2, "api_calls": [{"name":
"mod_three", "type": "Tool", "inputs": {"number": 2}, "output": null, "start_time":
1705049731.497823, "end_time": 1705049731.498797, "error": {"message": "cannot
mod 3!", "type": "Exception"}, "children": null, "node_name": "mod_three"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.085029, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run2_4", "status":
"Failed", "error": {"message": "Execution failure in ''mod_three'': (Exception)
cannot mod 3!", "messageFormat": "Execution failure in ''{node_name}'': {error_type_and_message}",
"messageParameters": {"node_name": "mod_three", "error_type_and_message":
"(Exception) cannot mod 3!"}, "referenceCode": "Tool/__pf_main__", "code":
"UserError", "innerError": {"code": "ToolExecutionError", "innerError": null},
"additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 3!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n", "filename": "/mnt/host/service/app/39649/requests/run2/mod_three.py",
"lineno": 7, "name": "mod_three"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_three'': (Exception) cannot mod 3!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 3!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\n", "innerException":
null}}}, "inputs": {"number": 4, "line_number": 4}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run2", "root_run_id": "run2", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:55:31.535972Z",
"end_time": "2024-01-12T08:55:31.773764Z", "index": 4, "api_calls": [{"name":
"mod_three", "type": "Tool", "inputs": {"number": 4}, "output": null, "start_time":
1705049731.548995, "end_time": 1705049731.550238, "error": {"message": "cannot
mod 3!", "type": "Exception"}, "children": null, "node_name": "mod_three"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.237792, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run2_8", "status":
"Failed", "error": {"message": "Execution failure in ''mod_three'': (Exception)
cannot mod 3!", "messageFormat": "Execution failure in ''{node_name}'': {error_type_and_message}",
"messageParameters": {"node_name": "mod_three", "error_type_and_message":
"(Exception) cannot mod 3!"}, "referenceCode": "Tool/__pf_main__", "code":
"UserError", "innerError": {"code": "ToolExecutionError", "innerError": null},
"additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 3!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n", "filename": "/mnt/host/service/app/39649/requests/run2/mod_three.py",
"lineno": 7, "name": "mod_three"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_three'': (Exception) cannot mod 3!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 3!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\n", "innerException":
null}}}, "inputs": {"number": 8, "line_number": 8}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run2", "root_run_id": "run2", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:55:31.559578Z",
"end_time": "2024-01-12T08:55:31.789137Z", "index": 8, "api_calls": [{"name":
"mod_three", "type": "Tool", "inputs": {"number": 8}, "output": null, "start_time":
1705049731.584465, "end_time": 1705049731.585312, "error": {"message": "cannot
mod 3!", "type": "Exception"}, "children": null, "node_name": "mod_three"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.229559, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run2_6", "status":
"Completed", "error": null, "inputs": {"number": 6, "line_number": 6}, "output":
{"output": 6}, "metrics": null, "request": null, "parent_run_id": "run2",
"root_run_id": "run2", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:55:31.555822Z", "end_time": "2024-01-12T08:55:31.564102Z",
"index": 6, "api_calls": [{"name": "mod_three", "type": "Tool", "inputs":
{"number": 6}, "output": {"value": 6}, "start_time": 1705049731.561458, "end_time":
1705049731.562356, "error": null, "children": null, "node_name": "mod_three"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.00828, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": {"output": 6}, "upload_metrics": false}, {"run_id": "run2_16",
"status": "Failed", "error": {"message": "Execution failure in ''mod_three'':
(Exception) cannot mod 3!", "messageFormat": "Execution failure in ''{node_name}'':
{error_type_and_message}", "messageParameters": {"node_name": "mod_three",
"error_type_and_message": "(Exception) cannot mod 3!"}, "referenceCode": "Tool/__pf_main__",
"code": "UserError", "innerError": {"code": "ToolExecutionError", "innerError":
null}, "additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 3!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n", "filename": "/mnt/host/service/app/39649/requests/run2/mod_three.py",
"lineno": 7, "name": "mod_three"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_three'': (Exception) cannot mod 3!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 3!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\n", "innerException":
null}}}, "inputs": {"number": 16, "line_number": 16}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run2", "root_run_id": "run2", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:55:31.744907Z",
"end_time": "2024-01-12T08:55:31.817842Z", "index": 16, "api_calls": [{"name":
"mod_three", "type": "Tool", "inputs": {"number": 16}, "output": null, "start_time":
1705049731.747285, "end_time": 1705049731.747465, "error": {"message": "cannot
mod 3!", "type": "Exception"}, "children": null, "node_name": "mod_three"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.072935, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run2_10", "status":
"Failed", "error": {"message": "Execution failure in ''mod_three'': (Exception)
cannot mod 3!", "messageFormat": "Execution failure in ''{node_name}'': {error_type_and_message}",
"messageParameters": {"node_name": "mod_three", "error_type_and_message":
"(Exception) cannot mod 3!"}, "referenceCode": "Tool/__pf_main__", "code":
"UserError", "innerError": {"code": "ToolExecutionError", "innerError": null},
"additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 3!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n", "filename": "/mnt/host/service/app/39649/requests/run2/mod_three.py",
"lineno": 7, "name": "mod_three"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_three'': (Exception) cannot mod 3!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 3!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\n", "innerException":
null}}}, "inputs": {"number": 10, "line_number": 10}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run2", "root_run_id": "run2", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:55:31.59072Z",
"end_time": "2024-01-12T08:55:31.604864Z", "index": 10, "api_calls": [{"name":
"mod_three", "type": "Tool", "inputs": {"number": 10}, "output": null, "start_time":
1705049731.59849, "end_time": 1705049731.600113, "error": {"message": "cannot
mod 3!", "type": "Exception"}, "children": null, "node_name": "mod_three"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.014144, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run2_14", "status":
"Failed", "error": {"message": "Execution failure in ''mod_three'': (Exception)
cannot mod 3!", "messageFormat": "Execution failure in ''{node_name}'': {error_type_and_message}",
"messageParameters": {"node_name": "mod_three", "error_type_and_message":
"(Exception) cannot mod 3!"}, "referenceCode": "Tool/__pf_main__", "code":
"UserError", "innerError": {"code": "ToolExecutionError", "innerError": null},
"additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 3!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n", "filename": "/mnt/host/service/app/39649/requests/run2/mod_three.py",
"lineno": 7, "name": "mod_three"}}], "debugInfo": {"type": "ToolExecutionError",
"message": "Execution failure in ''mod_three'': (Exception) cannot mod 3!",
"stackTrace": "\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 3!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\n", "innerException":
null}}}, "inputs": {"number": 14, "line_number": 14}, "output": null, "metrics":
null, "request": null, "parent_run_id": "run2", "root_run_id": "run2", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-12T08:55:31.736285Z",
"end_time": "2024-01-12T08:55:31.745117Z", "index": 14, "api_calls": [{"name":
"mod_three", "type": "Tool", "inputs": {"number": 14}, "output": null, "start_time":
1705049731.739545, "end_time": 1705049731.740525, "error": {"message": "cannot
mod 3!", "type": "Exception"}, "children": null, "node_name": "mod_three"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.008832, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": null, "upload_metrics": false}, {"run_id": "run2_18", "status":
"Completed", "error": null, "inputs": {"number": 18, "line_number": 18}, "output":
{"output": 18}, "metrics": null, "request": null, "parent_run_id": "run2",
"root_run_id": "run2", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-12T08:55:31.890045Z", "end_time": "2024-01-12T08:55:31.891993Z",
"index": 18, "api_calls": [{"name": "mod_three", "type": "Tool", "inputs":
{"number": 18}, "output": {"value": 18}, "start_time": 1705049731.891255,
"end_time": 1705049731.891333, "error": null, "children": null, "node_name":
"mod_three"}], "variant_id": "", "name": "", "description": "", "tags": null,
"system_metrics": {"duration": 0.001948, "prompt_tokens": 0, "completion_tokens":
0, "total_tokens": 0}, "result": {"output": 18}, "upload_metrics": false}]'
headers:
connection:
- keep-alive
content-length:
- '32873'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.930'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2/childRuns?endIndex=49&startIndex=25
response:
body:
string: '[]'
headers:
connection:
- keep-alive
content-length:
- '2'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '0.727'
status:
code: 200
message: OK
- request:
body: '{"runId": "run1", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705049621, "rootRunId": "run1", "createdUtc":
"2024-01-12T08:53:41.7311265+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": {"error": {"code": "UserError", "severity":
null, "message": "Execution failure in ''mod_two'': (Exception) cannot mod
2!", "messageFormat": "{\"totalChildRuns\": 20, \"userErrorChildRuns\": 10,
\"systemErrorChildRuns\": 0, \"errorDetails\": [{\"code\": \"UserError/ToolExecutionError\",
\"messageFormat\": \"Execution failure in ''{node_name}'': {error_type_and_message}\",
\"count\": 10}]}", "messageParameters": {"node_name": "mod_two", "error_type_and_message":
"(Exception) cannot mod 2!"}, "referenceCode": "Tool/__pf_main__", "detailsUri":
null, "target": null, "details": [], "innerError": {"code": "ToolExecutionError",
"innerError": null}, "debugInfo": {"type": "ToolExecutionError", "message":
"Execution failure in ''mod_two'': (Exception) cannot mod 2!", "stackTrace":
"\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 2!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\n", "innerException":
null, "data": null, "errorResponse": null}, "data": null, "errorResponse":
null}, "additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 2!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n", "filename": "/mnt/host/service/app/39649/requests/run1/mod_two.py",
"lineno": 7, "name": "mod_two"}}]}, "correlation": null, "environment": null,
"location": null, "time": "2024-01-12T08:54:32.157997+00:00", "componentName":
"promptflow-runtime/20231204.v4 Designer/1.0 promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0) promptflow/1.2.0rc1"}, "warnings":
null, "revision": 7, "statusRevision": 3, "runUuid": "08457cff-a0cf-4b93-8b58-24b47e6e2f06",
"parentRunUuid": null, "rootRunUuid": "08457cff-a0cf-4b93-8b58-24b47e6e2f06",
"lastStartTimeUtc": null, "currentComputeTime": null, "computeDuration": "00:00:34.5206194",
"effectiveStartTimeUtc": null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:54:31.4291957+00:00", "duration":
"00:00:34.5206194", "cancelationReason": null, "currentAttemptId": 1, "runId":
"run1", "parentRunId": null, "experimentId": "f65cb39a-0d28-4b06-9ef9-b962ed9df8d0",
"status": "Completed", "startTimeUtc": "2024-01-12T08:53:57.8643652+00:00",
"endTimeUtc": "2024-01-12T08:54:32.3849846+00:00", "scheduleId": null, "displayName":
"run1", "name": null, "dataContainerId": "dcid.run1", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "357876c0a66919ba9791ba9723d3eb045181f10b65c806ea",
"azureml.promptflow.flow_lineage_id": "3df9ed48cf83e1a38799b0a91f06e0825173b507d07391d1d91ec0253c1cda5c",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/ceb856845f8689bdee2da5a26bd95bab/two/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/7e5ac781513436b66626132fefb20d1f/numbers.jsonl",
"azureml.promptflow.inputs_mapping": "{\"number\":\"${data.value}\"}", "_azureml.evaluation_run":
"promptflow.BatchRun", "azureml.promptflow.snapshot_id": "d15d3732-36a4-45ac-b53b-e1fe695b2e77",
"azureml.promptflow.total_tokens": "0", "_azureml.evaluate_artifacts": "[{\"path\":
\"instance_results.jsonl\", \"type\": \"table\"}]"}, "parameters": {}, "actionUris":
{}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets": [],
"tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
"azureml://locations/eastus/workspaces/00000/data/azureml_run1_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_run1_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '9907'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.053'
status:
code: 200
message: OK
- request:
body: '{"runId": "run2", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705049714, "rootRunId": "run2", "createdUtc":
"2024-01-12T08:55:14.362818+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": {"error": {"code": "UserError", "severity":
null, "message": "Execution failure in ''mod_three'': (Exception) cannot mod
3!", "messageFormat": "{\"totalChildRuns\": 10, \"userErrorChildRuns\": 6,
\"systemErrorChildRuns\": 0, \"errorDetails\": [{\"code\": \"UserError/ToolExecutionError\",
\"messageFormat\": \"Execution failure in ''{node_name}'': {error_type_and_message}\",
\"count\": 6}]}", "messageParameters": {"node_name": "mod_three", "error_type_and_message":
"(Exception) cannot mod 3!"}, "referenceCode": "Tool/__pf_main__", "detailsUri":
null, "target": null, "details": [], "innerError": {"code": "ToolExecutionError",
"innerError": null}, "debugInfo": {"type": "ToolExecutionError", "message":
"Execution failure in ''mod_three'': (Exception) cannot mod 3!", "stackTrace":
"\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 451, in result\n return self.__get_result()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/_base.py\",
line 403, in __get_result\n raise self._exception\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/concurrent/futures/thread.py\",
line 58, in run\n result = self.fn(*self.args, **self.kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 111, in _exec_single_node_in_thread\n result = context.invoke_tool(node,
f, kwargs=kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\n", "innerException": {"type": "Exception", "message":
"cannot mod 3!", "stackTrace": "Traceback (most recent call last):\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\n", "innerException":
null, "data": null, "errorResponse": null}, "data": null, "errorResponse":
null}, "additionalInfo": [{"type": "ToolExecutionErrorDetails", "info": {"type":
"Exception", "message": "cannot mod 3!", "traceback": "Traceback (most recent
call last):\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n", "filename": "/mnt/host/service/app/39649/requests/run2/mod_three.py",
"lineno": 7, "name": "mod_three"}}]}, "correlation": null, "environment":
null, "location": null, "time": "2024-01-12T08:56:05.377066+00:00", "componentName":
"promptflow-runtime/20231204.v4 Designer/1.0 promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0) promptflow/1.2.0rc1"}, "warnings":
null, "revision": 7, "statusRevision": 3, "runUuid": "b80a9962-ed21-4dfb-85b0-2548b1649f39",
"parentRunUuid": null, "rootRunUuid": "b80a9962-ed21-4dfb-85b0-2548b1649f39",
"lastStartTimeUtc": null, "currentComputeTime": null, "computeDuration": "00:00:34.5231338",
"effectiveStartTimeUtc": null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:56:04.2209326+00:00", "duration":
"00:00:34.5231338", "cancelationReason": null, "currentAttemptId": 1, "runId":
"run2", "parentRunId": null, "experimentId": "3a00e270-37b9-49be-a74e-ac675487979e",
"status": "Completed", "startTimeUtc": "2024-01-12T08:55:31.0651672+00:00",
"endTimeUtc": "2024-01-12T08:56:05.588301+00:00", "scheduleId": null, "displayName":
"run2", "name": null, "dataContainerId": "dcid.run2", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "c9399af7028d644e85f3624a0b026432068432621519ab8f",
"azureml.promptflow.flow_lineage_id": "77a36a2606b22ee30674046884962374e57e822acdeccac7750905d98e944580",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/f0722e3fb27e86b101670dbb5e85554c/three/flow.dag.yaml",
"azureml.promptflow.input_run_id": "run1", "azureml.promptflow.inputs_mapping":
"{\"number\":\"${run.outputs.output}\"}", "_azureml.evaluation_run": "promptflow.BatchRun",
"azureml.promptflow.snapshot_id": "a25bab13-d2d7-4c36-83bf-96979de95507",
"azureml.promptflow.total_tokens": "0", "_azureml.evaluate_artifacts": "[{\"path\":
\"instance_results.jsonl\", \"type\": \"table\"}]"}, "parameters": {}, "actionUris":
{}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets": [],
"tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
"azureml://locations/eastus/workspaces/00000/data/azureml_run2_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_run2_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '9865'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.037'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run1/logContent
response:
body:
string: '"2024-01-12 08:53:45 +0000 49 promptflow-runtime INFO [run1]
Receiving v2 bulk run request e51d6436-3ed9-4576-b848-1967710c148c: {\"flow_id\":
\"run1\", \"flow_run_id\": \"run1\", \"flow_source\": {\"flow_source_type\":
1, \"flow_source_info\": {\"snapshot_id\": \"d15d3732-36a4-45ac-b53b-e1fe695b2e77\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.run1/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A43%3A40Z&ske=2024-01-13T16%3A53%3A40Z&sks=b&skv=2019-07-07&st=2024-01-12T08%3A43%3A44Z&se=2024-01-12T16%3A53%3A44Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/7e5ac781513436b66626132fefb20d1f/numbers.jsonl\"},
\"inputs_mapping\": {\"number\": \"${data.value}\"}, \"azure_storage_setting\":
{\"azure_storage_mode\": 1, \"storage_account_name\": \"promptfloweast4063704120\",
\"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/run1\", \"blob_container_sas_token\":
\"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A53%3A45Z&ske=2024-01-19T08%3A53%3A45Z&sks=b&skv=2019-07-07&se=2024-01-19T08%3A53%3A45Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 08:53:45 +0000 49
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:53:45 +0000 49 promptflow-runtime INFO Updating
run1 to Status.Preparing...\n2024-01-12 08:53:45 +0000 49 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/39649/requests/run1\n2024-01-12
08:53:45 +0000 49 promptflow-runtime INFO Get snapshot sas url for
d15d3732-36a4-45ac-b53b-e1fe695b2e77...\n2024-01-12 08:53:52 +0000 49
promptflow-runtime INFO Downloading snapshot d15d3732-36a4-45ac-b53b-e1fe695b2e77
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/d15d3732-36a4-45ac-b53b-e1fe695b2e77.zip...\n2024-01-12
08:53:52 +0000 49 promptflow-runtime INFO Downloaded file /mnt/host/service/app/39649/requests/run1/d15d3732-36a4-45ac-b53b-e1fe695b2e77.zip
with size 509 for snapshot d15d3732-36a4-45ac-b53b-e1fe695b2e77.\n2024-01-12
08:53:52 +0000 49 promptflow-runtime INFO Download snapshot d15d3732-36a4-45ac-b53b-e1fe695b2e77
completed.\n2024-01-12 08:53:52 +0000 49 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/39649/requests/run1\n2024-01-12
08:53:52 +0000 49 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 08:53:52 +0000 49 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 08:53:52 +0000 49 promptflow-runtime
INFO Starting to check process 6280 status for run run1\n2024-01-12 08:53:52
+0000 49 promptflow-runtime INFO Start checking run status for run
run1\n2024-01-12 08:53:56 +0000 6280 promptflow-runtime INFO [49--6280]
Start processing flowV2......\n2024-01-12 08:53:56 +0000 6280 promptflow-runtime
INFO Runtime version: 20231204.v4. PromptFlow version: 1.2.0rc1\n2024-01-12
08:53:56 +0000 6280 promptflow-runtime INFO Setting mlflow tracking
uri...\n2024-01-12 08:53:56 +0000 6280 promptflow-runtime INFO Validating
''AzureML Data Scientist'' user authentication...\n2024-01-12 08:53:56 +0000 6280
promptflow-runtime INFO Successfully validated ''AzureML Data Scientist''
user authentication.\n2024-01-12 08:53:56 +0000 6280 promptflow-runtime
INFO Using AzureMLRunStorageV2\n2024-01-12 08:53:56 +0000 6280 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:53:56 +0000 6280 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 08:53:56 +0000 6280 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:53:57 +0000 6280 promptflow-runtime INFO Resolve data from url finished
in 0.6618335284292698 seconds\n2024-01-12 08:53:57 +0000 6280 promptflow-runtime
INFO Starting the aml run ''run1''...\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Using fork, process count: 16\n2024-01-12 08:53:58
+0000 6335 execution.bulk INFO Process 6335 started.\n2024-01-12
08:53:58 +0000 6351 execution.bulk INFO Process 6351 started.\n2024-01-12
08:53:58 +0000 6345 execution.bulk INFO Process 6345 started.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:2,
Process id: 6335, Line number: 0 start execution.\n2024-01-12 08:53:58 +0000 6379
execution.bulk INFO Process 6379 started.\n2024-01-12 08:53:58 +0000 6382
execution.bulk INFO Process 6382 started.\n2024-01-12 08:53:58 +0000 6387
execution.bulk INFO Process 6387 started.\n2024-01-12 08:53:58 +0000 6351
execution ERROR Node mod_two in line 1 failed. Exception: Execution
failure in ''mod_two'': (Exception) cannot mod 2!.\nTraceback (most recent
call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\npromptflow._core._errors.ToolExecutionError: Execution
failure in ''mod_two'': (Exception) cannot mod 2!\n2024-01-12 08:53:58 +0000 6362
execution.bulk INFO Process 6362 started.\n2024-01-12 08:53:58 +0000 6369
execution.bulk INFO Process 6369 started.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:6, Process id: 6351,
Line number: 1 start execution.\n2024-01-12 08:53:58 +0000 6351 execution ERROR Execution
of one node has failed. Cancelling all running nodes: mod_two.\n2024-01-12
08:53:58 +0000 6367 execution.bulk INFO Process 6367 started.\n2024-01-12
08:53:58 +0000 6398 execution.bulk INFO Process 6398 started.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:3,
Process id: 6345, Line number: 2 start execution.\n2024-01-12 08:53:58 +0000 6422
execution.bulk INFO Process 6422 started.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:8, Process id: 6379,
Line number: 3 start execution.\n2024-01-12 08:53:58 +0000 6369 execution ERROR Node
mod_two in line 7 failed. Exception: Execution failure in ''mod_two'': (Exception)
cannot mod 2!.\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\npromptflow._core._errors.ToolExecutionError: Execution
failure in ''mod_two'': (Exception) cannot mod 2!\n2024-01-12 08:53:58 +0000 6391
execution.bulk INFO Process 6391 started.\n2024-01-12 08:53:58 +0000 6367
execution ERROR Node mod_two in line 9 failed. Exception: Execution
failure in ''mod_two'': (Exception) cannot mod 2!.\nTraceback (most recent
call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\npromptflow._core._errors.ToolExecutionError: Execution
failure in ''mod_two'': (Exception) cannot mod 2!\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:9, Process id: 6382,
Line number: 4 start execution.\n2024-01-12 08:53:58 +0000 6369 execution ERROR Execution
of one node has failed. Cancelling all running nodes: mod_two.\n2024-01-12
08:53:58 +0000 6439 execution.bulk INFO Process 6439 started.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:10,
Process id: 6387, Line number: 5 start execution.\n2024-01-12 08:53:58 +0000 6367
execution ERROR Execution of one node has failed. Cancelling all
running nodes: mod_two.\n2024-01-12 08:53:58 +0000 6403 execution.bulk INFO Process
6403 started.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:7, Process id: 6362, Line number: 6 start execution.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:4,
Process id: 6369, Line number: 7 start execution.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:11, Process id: 6398,
Line number: 8 start execution.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:5, Process id: 6367, Line number: 9 start execution.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:14,
Process id: 6422, Line number: 10 start execution.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:12, Process id: 6391,
Line number: 11 start execution.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:3, Process id: 6345, Line number: 2 completed.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:6,
Process id: 6351, Line number: 1 completed.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:9, Process id: 6382,
Line number: 4 completed.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:8, Process id: 6379, Line number: 3 completed.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:2,
Process id: 6335, Line number: 0 completed.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:4, Process id: 6369,
Line number: 7 completed.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Finished
6 / 20 lines.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Finished
6 / 20 lines.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:7, Process id: 6362, Line number: 6 completed.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:11,
Process id: 6398, Line number: 8 completed.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:5, Process id: 6367,
Line number: 9 completed.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:9, Process id: 6382, Line number: 12 start execution.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:14,
Process id: 6422, Line number: 10 completed.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Finished 10 / 20 lines.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Finished 10 / 20 lines.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Finished 10 / 20 lines.\n2024-01-12 08:53:58 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:12, Process id: 6391,
Line number: 11 completed.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.11 seconds. Estimated time for incomplete
lines: 1.54 seconds.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:10, Process id: 6387, Line number: 5 completed.\n2024-01-12
08:53:58 +0000 6280 execution.bulk INFO Average execution time
for completed lines: 0.11 seconds. Estimated time for incomplete lines: 1.54
seconds.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Finished
12 / 20 lines.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Finished
12 / 20 lines.\n2024-01-12 08:53:58 +0000 6280 execution.bulk INFO Finished
12 / 20 lines.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Finished
12 / 20 lines.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.7 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.7 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.7 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:9, Process id: 6382, Line number: 12 completed.\n2024-01-12
08:53:59 +0000 6369 execution ERROR Node mod_two in line 19
failed. Exception: Execution failure in ''mod_two'': (Exception) cannot mod
2!.\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run1/mod_two.py\",
line 7, in mod_two\n raise Exception(\"cannot mod 2!\")\nException: cannot
mod 2!\n\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\npromptflow._core._errors.ToolExecutionError: Execution
failure in ''mod_two'': (Exception) cannot mod 2!\n2024-01-12 08:53:59 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:12, Process id: 6391,
Line number: 13 start execution.\n2024-01-12 08:53:59 +0000 6369 execution ERROR Execution
of one node has failed. Cancelling all running nodes: mod_two.\n2024-01-12
08:53:59 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:3,
Process id: 6345, Line number: 14 start execution.\n2024-01-12 08:53:59 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:10, Process id: 6387,
Line number: 15 start execution.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:6, Process id: 6351, Line number: 16 start execution.\n2024-01-12
08:53:59 +0000 6280 execution.bulk INFO Average execution time
for completed lines: 0.07 seconds. Estimated time for incomplete lines: 0.56
seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.56 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.56 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.56 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:8, Process id: 6379, Line number: 17 start execution.\n2024-01-12
08:53:59 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:2,
Process id: 6335, Line number: 18 start execution.\n2024-01-12 08:53:59 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:4, Process id: 6369,
Line number: 19 start execution.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:12, Process id: 6391, Line number: 13 completed.\n2024-01-12
08:53:59 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:3,
Process id: 6345, Line number: 14 completed.\n2024-01-12 08:53:59 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:10, Process id: 6387,
Line number: 15 completed.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:6, Process id: 6351, Line number: 16 completed.\n2024-01-12
08:53:59 +0000 6280 execution.bulk INFO Process name: ForkProcess-62:8,
Process id: 6379, Line number: 17 completed.\n2024-01-12 08:53:59 +0000 6280
execution.bulk INFO Finished 18 / 20 lines.\n2024-01-12 08:53:59 +0000 6280
execution.bulk INFO Process name: ForkProcess-62:2, Process id: 6335,
Line number: 18 completed.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Process
name: ForkProcess-62:4, Process id: 6369, Line number: 19 completed.\n2024-01-12
08:53:59 +0000 6280 execution.bulk INFO Finished 20 / 20 lines.\n2024-01-12
08:53:59 +0000 6280 execution.bulk INFO Finished 20 / 20 lines.\n2024-01-12
08:53:59 +0000 6280 execution.bulk INFO Finished 20 / 20 lines.\n2024-01-12
08:53:59 +0000 6280 execution.bulk INFO Average execution time
for completed lines: 0.07 seconds. Estimated time for incomplete lines: 0.14
seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Finished
20 / 20 lines.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Finished
20 / 20 lines.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:53:59 +0000 6280 execution.bulk INFO Average
execution time for completed lines: 0.07 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:54:29 +0000 6280 execution ERROR 10/20
flow run failed, indexes: [1,3,5,7,9,11,13,15,17,19], exception of index 1:
Execution failure in ''mod_two'': (Exception) cannot mod 2!\n2024-01-12 08:54:31
+0000 6280 execution.bulk INFO Upload status summary metrics for
run run1 finished in 1.6117610009387136 seconds\n2024-01-12 08:54:31 +0000 6280
promptflow-runtime INFO Successfully write run properties {\"azureml.promptflow.total_tokens\":
0, \"_azureml.evaluate_artifacts\": \"[{\\\"path\\\": \\\"instance_results.jsonl\\\",
\\\"type\\\": \\\"table\\\"}]\"} with run id ''run1''\n2024-01-12 08:54:31
+0000 6280 execution.bulk INFO Upload RH properties for run run1
finished in 0.08309784904122353 seconds\n2024-01-12 08:54:31 +0000 6280
promptflow-runtime INFO Creating unregistered output Asset for Run run1...\n2024-01-12
08:54:31 +0000 6280 promptflow-runtime INFO Created debug_info Asset:
azureml://locations/eastus/workspaces/00000/data/azureml_run1_output_data_debug_info/versions/1\n2024-01-12
08:54:31 +0000 6280 promptflow-runtime INFO Creating unregistered output
Asset for Run run1...\n2024-01-12 08:54:31 +0000 6280 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_run1_output_data_flow_outputs/versions/1\n2024-01-12
08:54:31 +0000 6280 promptflow-runtime INFO Creating Artifact for Run
run1...\n2024-01-12 08:54:32 +0000 6280 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-12 08:54:32 +0000 6280 promptflow-runtime
INFO Patching run1...\n2024-01-12 08:54:32 +0000 6280 promptflow-runtime
WARNING [run1] Run failed. Execution stackTrace: Traceback (most recent call
last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n [REDACTED:
External StackTrace]\n\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n [REDACTED:
External StackTrace]\n\n2024-01-12 08:54:32 +0000 6280 promptflow-runtime
INFO Ending the aml run ''run1'' with status ''Completed''...\n2024-01-12
08:54:33 +0000 49 promptflow-runtime INFO Process 6280 finished\n2024-01-12
08:54:33 +0000 49 promptflow-runtime INFO [49] Child process finished!\n2024-01-12
08:54:33 +0000 49 promptflow-runtime INFO [run1] End processing bulk
run\n2024-01-12 08:54:33 +0000 49 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/39649/requests/run1 for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '26914'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '1.063'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run2/logContent
response:
body:
string: '"2024-01-12 08:55:18 +0000 49 promptflow-runtime INFO [run2]
Receiving v2 bulk run request fb3450a2-5971-497b-9704-9f15f2716d12: {\"flow_id\":
\"run2\", \"flow_run_id\": \"run2\", \"flow_source\": {\"flow_source_type\":
1, \"flow_source_info\": {\"snapshot_id\": \"a25bab13-d2d7-4c36-83bf-96979de95507\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.run2/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A44%3A44Z&ske=2024-01-13T15%3A54%3A44Z&sks=b&skv=2019-07-07&st=2024-01-12T08%3A45%3A18Z&se=2024-01-12T16%3A55%3A18Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"run.outputs\": \"azureml:/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/data/azureml_run1_output_data_flow_outputs/versions/1\"},
\"inputs_mapping\": {\"number\": \"${run.outputs.output}\"}, \"azure_storage_setting\":
{\"azure_storage_mode\": 1, \"storage_account_name\": \"promptfloweast4063704120\",
\"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/run2\", \"blob_container_sas_token\":
\"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A55%3A18Z&ske=2024-01-19T08%3A55%3A18Z&sks=b&skv=2019-07-07&se=2024-01-19T08%3A55%3A18Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 08:55:18 +0000 49
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:55:18 +0000 49 promptflow-runtime INFO Updating
run2 to Status.Preparing...\n2024-01-12 08:55:19 +0000 49 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/39649/requests/run2\n2024-01-12
08:55:19 +0000 49 promptflow-runtime INFO Get snapshot sas url for
a25bab13-d2d7-4c36-83bf-96979de95507...\n2024-01-12 08:55:25 +0000 49
promptflow-runtime INFO Downloading snapshot a25bab13-d2d7-4c36-83bf-96979de95507
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/a25bab13-d2d7-4c36-83bf-96979de95507.zip...\n2024-01-12
08:55:25 +0000 49 promptflow-runtime INFO Downloaded file /mnt/host/service/app/39649/requests/run2/a25bab13-d2d7-4c36-83bf-96979de95507.zip
with size 515 for snapshot a25bab13-d2d7-4c36-83bf-96979de95507.\n2024-01-12
08:55:25 +0000 49 promptflow-runtime INFO Download snapshot a25bab13-d2d7-4c36-83bf-96979de95507
completed.\n2024-01-12 08:55:25 +0000 49 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/39649/requests/run2\n2024-01-12
08:55:25 +0000 49 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 08:55:25 +0000 49 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 08:55:25 +0000 49 promptflow-runtime
INFO Starting to check process 6515 status for run run2\n2024-01-12 08:55:25
+0000 49 promptflow-runtime INFO Start checking run status for run
run2\n2024-01-12 08:55:29 +0000 6515 promptflow-runtime INFO [49--6515]
Start processing flowV2......\n2024-01-12 08:55:29 +0000 6515 promptflow-runtime
INFO Runtime version: 20231204.v4. PromptFlow version: 1.2.0rc1\n2024-01-12
08:55:29 +0000 6515 promptflow-runtime INFO Setting mlflow tracking
uri...\n2024-01-12 08:55:29 +0000 6515 promptflow-runtime INFO Validating
''AzureML Data Scientist'' user authentication...\n2024-01-12 08:55:29 +0000 6515
promptflow-runtime INFO Successfully validated ''AzureML Data Scientist''
user authentication.\n2024-01-12 08:55:30 +0000 6515 promptflow-runtime
INFO Using AzureMLRunStorageV2\n2024-01-12 08:55:30 +0000 6515 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:55:30 +0000 6515 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 08:55:30 +0000 6515 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:55:30 +0000 6515 promptflow-runtime INFO Resolve data from url finished
in 0.5992864752188325 seconds\n2024-01-12 08:55:30 +0000 6515 promptflow-runtime
INFO Starting the aml run ''run2''...\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Using fork, process count: 10\n2024-01-12 08:55:31
+0000 6565 execution.bulk INFO Process 6565 started.\n2024-01-12
08:55:31 +0000 6570 execution.bulk INFO Process 6570 started.\n2024-01-12
08:55:31 +0000 6579 execution.bulk INFO Process 6579 started.\n2024-01-12
08:55:31 +0000 6585 execution.bulk INFO Process 6585 started.\n2024-01-12
08:55:31 +0000 6592 execution.bulk INFO Process 6592 started.\n2024-01-12
08:55:31 +0000 6570 execution ERROR Node mod_three in line
2 failed. Exception: Execution failure in ''mod_three'': (Exception) cannot
mod 3!.\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\npromptflow._core._errors.ToolExecutionError: Execution
failure in ''mod_three'': (Exception) cannot mod 3!\n2024-01-12 08:55:31 +0000 6570
execution ERROR Execution of one node has failed. Cancelling all
running nodes: mod_three.\n2024-01-12 08:55:31 +0000 6515 execution.bulk INFO Process
name: ForkProcess-64:2, Process id: 6565, Line number: 0 start execution.\n2024-01-12
08:55:31 +0000 6605 execution.bulk INFO Process 6605 started.\n2024-01-12
08:55:31 +0000 6515 execution.bulk INFO Process name: ForkProcess-64:4,
Process id: 6570, Line number: 2 start execution.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Process name: ForkProcess-64:3, Process id: 6579,
Line number: 4 start execution.\n2024-01-12 08:55:31 +0000 6515 execution.bulk INFO Process
name: ForkProcess-64:5, Process id: 6585, Line number: 6 start execution.\n2024-01-12
08:55:31 +0000 6515 execution.bulk INFO Process name: ForkProcess-64:6,
Process id: 6592, Line number: 8 start execution.\n2024-01-12 08:55:31 +0000 6622
execution.bulk INFO Process 6622 started.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Process name: ForkProcess-64:9, Process id: 6605,
Line number: 10 start execution.\n2024-01-12 08:55:31 +0000 6515 execution.bulk INFO Process
name: ForkProcess-64:10, Process id: 6622, Line number: 12 start execution.\n2024-01-12
08:55:31 +0000 6515 execution.bulk INFO Process name: ForkProcess-64:2,
Process id: 6565, Line number: 0 completed.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Finished 1 / 10 lines.\n2024-01-12 08:55:31 +0000 6614
execution.bulk INFO Process 6614 started.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Average execution time for completed lines: 0.36
seconds. Estimated time for incomplete lines: 3.24 seconds.\n2024-01-12 08:55:31
+0000 6579 execution ERROR Node mod_three in line 4 failed.
Exception: Execution failure in ''mod_three'': (Exception) cannot mod 3!.\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\npromptflow._core._errors.ToolExecutionError: Execution
failure in ''mod_three'': (Exception) cannot mod 3!\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Process name: ForkProcess-64:11, Process id: 6614,
Line number: 14 start execution.\n2024-01-12 08:55:31 +0000 6592 execution ERROR Node
mod_three in line 8 failed. Exception: Execution failure in ''mod_three'':
(Exception) cannot mod 3!.\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\npromptflow._core._errors.ToolExecutionError: Execution
failure in ''mod_three'': (Exception) cannot mod 3!\n2024-01-12 08:55:31 +0000 6579
execution ERROR Execution of one node has failed. Cancelling all
running nodes: mod_three.\n2024-01-12 08:55:31 +0000 6515 execution.bulk INFO Process
name: ForkProcess-64:2, Process id: 6565, Line number: 16 start execution.\n2024-01-12
08:55:31 +0000 6592 execution ERROR Execution of one node has
failed. Cancelling all running nodes: mod_three.\n2024-01-12 08:55:31 +0000 6565
execution ERROR Node mod_three in line 16 failed. Exception: Execution
failure in ''mod_three'': (Exception) cannot mod 3!.\nTraceback (most recent
call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n File \"/mnt/host/service/app/39649/requests/run2/mod_three.py\",
line 7, in mod_three\n raise Exception(\"cannot mod 3!\")\nException: cannot
mod 3!\n\nThe above exception was the direct cause of the following exception:\n\nTraceback
(most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 89, in invoke_tool\n result = self._invoke_tool_with_timer(node, f,
kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 196, in _invoke_tool_with_timer\n raise ToolExecutionError(node_name=node_name,
module=module) from e\npromptflow._core._errors.ToolExecutionError: Execution
failure in ''mod_three'': (Exception) cannot mod 3!\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Process name: ForkProcess-64:10, Process id: 6622,
Line number: 12 completed.\n2024-01-12 08:55:31 +0000 6565 execution ERROR Execution
of one node has failed. Cancelling all running nodes: mod_three.\n2024-01-12
08:55:31 +0000 6515 execution.bulk INFO Process name: ForkProcess-64:4,
Process id: 6570, Line number: 2 completed.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Finished 3 / 10 lines.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Finished 3 / 10 lines.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Average execution time for completed lines: 0.15
seconds. Estimated time for incomplete lines: 1.05 seconds.\n2024-01-12 08:55:31
+0000 6515 execution.bulk INFO Process name: ForkProcess-64:6,
Process id: 6592, Line number: 8 completed.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Process name: ForkProcess-64:3, Process id: 6579,
Line number: 4 completed.\n2024-01-12 08:55:31 +0000 6515 execution.bulk INFO Average
execution time for completed lines: 0.16 seconds. Estimated time for incomplete
lines: 1.12 seconds.\n2024-01-12 08:55:31 +0000 6515 execution.bulk INFO Process
name: ForkProcess-64:5, Process id: 6585, Line number: 6 completed.\n2024-01-12
08:55:31 +0000 6515 execution.bulk INFO Process name: ForkProcess-64:10,
Process id: 6622, Line number: 18 start execution.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Finished 6 / 10 lines.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Finished 6 / 10 lines.\n2024-01-12 08:55:31 +0000 6515
execution.bulk INFO Process name: ForkProcess-64:9, Process id: 6605,
Line number: 10 completed.\n2024-01-12 08:55:31 +0000 6515 execution.bulk INFO Process
name: ForkProcess-64:2, Process id: 6565, Line number: 16 completed.\n2024-01-12
08:55:31 +0000 6515 execution.bulk INFO Finished 8 / 10 lines.\n2024-01-12
08:55:31 +0000 6515 execution.bulk INFO Average execution time
for completed lines: 0.09 seconds. Estimated time for incomplete lines: 0.36
seconds.\n2024-01-12 08:55:31 +0000 6515 execution.bulk INFO Average
execution time for completed lines: 0.1 seconds. Estimated time for incomplete
lines: 0.4 seconds.\n2024-01-12 08:55:32 +0000 6515 execution.bulk INFO Finished
8 / 10 lines.\n2024-01-12 08:55:32 +0000 6515 execution.bulk INFO Finished
8 / 10 lines.\n2024-01-12 08:55:32 +0000 6515 execution.bulk INFO Average
execution time for completed lines: 0.08 seconds. Estimated time for incomplete
lines: 0.16 seconds.\n2024-01-12 08:55:32 +0000 6515 execution.bulk INFO Process
name: ForkProcess-64:11, Process id: 6614, Line number: 14 completed.\n2024-01-12
08:55:32 +0000 6515 execution.bulk INFO Process name: ForkProcess-64:10,
Process id: 6622, Line number: 18 completed.\n2024-01-12 08:55:32 +0000 6515
execution.bulk INFO Average execution time for completed lines: 0.08
seconds. Estimated time for incomplete lines: 0.16 seconds.\n2024-01-12 08:55:32
+0000 6515 execution.bulk INFO Average execution time for completed
lines: 0.09 seconds. Estimated time for incomplete lines: 0.18 seconds.\n2024-01-12
08:55:32 +0000 6515 execution.bulk INFO Finished 10 / 10 lines.\n2024-01-12
08:55:32 +0000 6515 execution.bulk INFO Finished 10 / 10 lines.\n2024-01-12
08:55:32 +0000 6515 execution.bulk INFO Average execution time
for completed lines: 0.08 seconds. Estimated time for incomplete lines: 0.0
seconds.\n2024-01-12 08:55:32 +0000 6515 execution.bulk INFO Average
execution time for completed lines: 0.08 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:56:02 +0000 6515 execution ERROR 6/10
flow run failed, indexes: [1,2,4,5,7,8], exception of index 1: Execution failure
in ''mod_three'': (Exception) cannot mod 3!\n2024-01-12 08:56:04 +0000 6515
execution.bulk INFO Upload status summary metrics for run run2 finished
in 1.3678363300859928 seconds\n2024-01-12 08:56:04 +0000 6515 promptflow-runtime
INFO Successfully write run properties {\"azureml.promptflow.total_tokens\":
0, \"_azureml.evaluate_artifacts\": \"[{\\\"path\\\": \\\"instance_results.jsonl\\\",
\\\"type\\\": \\\"table\\\"}]\"} with run id ''run2''\n2024-01-12 08:56:04
+0000 6515 execution.bulk INFO Upload RH properties for run run2
finished in 0.07642840500921011 seconds\n2024-01-12 08:56:04 +0000 6515
promptflow-runtime INFO Creating unregistered output Asset for Run run2...\n2024-01-12
08:56:04 +0000 6515 promptflow-runtime INFO Created debug_info Asset:
azureml://locations/eastus/workspaces/00000/data/azureml_run2_output_data_debug_info/versions/1\n2024-01-12
08:56:04 +0000 6515 promptflow-runtime INFO Creating unregistered output
Asset for Run run2...\n2024-01-12 08:56:05 +0000 6515 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_run2_output_data_flow_outputs/versions/1\n2024-01-12
08:56:05 +0000 6515 promptflow-runtime INFO Creating Artifact for Run
run2...\n2024-01-12 08:56:05 +0000 6515 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-12 08:56:05 +0000 6515 promptflow-runtime
INFO Patching run2...\n2024-01-12 08:56:05 +0000 6515 promptflow-runtime
WARNING [run2] Run failed. Execution stackTrace: Traceback (most recent call
last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/flow_execution_context.py\",
line 185, in _invoke_tool_with_timer\n return f(**kwargs)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/_core/tool.py\",
line 106, in decorated_tool\n output = func(*args, **kwargs)\n [REDACTED:
External StackTrace]\n\nThe above exception was the direct cause of the following
exception:\n\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 804, in _exec\n output, nodes_outputs = self._traverse_nodes(inputs,
context)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 890, in _traverse_nodes\n nodes_outputs, bypassed_nodes = self._submit_to_scheduler(context,
inputs, batch_nodes)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/flow_executor.py\",
line 910, in _submit_to_scheduler\n return FlowNodesScheduler(self._tools_manager,
inputs, nodes, self._node_concurrency, context).execute()\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 69, in execute\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 58, in execute\n self._dag_manager.complete_nodes(self._collect_outputs(completed_futures))\n File
\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/executor/_flow_nodes_scheduler.py\",
line 90, in _collect_outputs\n each_node_result = each_future.result()\n [REDACTED:
External StackTrace]\n\n2024-01-12 08:56:05 +0000 6515 promptflow-runtime
INFO Ending the aml run ''run2'' with status ''Completed''...\n2024-01-12
08:56:06 +0000 49 promptflow-runtime INFO Process 6515 finished\n2024-01-12
08:56:06 +0000 49 promptflow-runtime INFO [49] Child process finished!\n2024-01-12
08:56:06 +0000 49 promptflow-runtime INFO [run2] End processing bulk
run\n2024-01-12 08:56:06 +0000 49 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/39649/requests/run2 for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '22442'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.427'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_input_mapping_with_dict.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.028'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.086'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.083'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.117'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:48:28 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '379'
content-md5:
- lI/pz9jzTQ7Td3RHPL7y7w==
content-type:
- application/octet-stream
last-modified:
- Mon, 06 Nov 2023 08:30:18 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Mon, 06 Nov 2023 08:30:18 GMT
x-ms-meta-name:
- 94331215-cf7f-452a-9f1a-1d276bc9b0e4
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 3f163752-edb0-4afc-a6f5-b0a670bd7c24
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:48:29 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.085'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.082'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:48:33 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/flow_with_dict_input/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '443'
content-md5:
- vjjZga0sy5AWysBOvepjpg==
content-type:
- application/octet-stream
last-modified:
- Tue, 26 Dec 2023 07:03:14 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 26 Dec 2023 07:03:14 GMT
x-ms-meta-name:
- b91cfd40-7fbe-4efc-8fbc-f59364b95246
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:48:34 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/flow_with_dict_input/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/flow_with_dict_input/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl"},
"inputsMapping": {"key": "{\"a\": 1}", "extra": "${data.url}"}, "connections":
{}, "environmentVariables": {}, "runtimeName": "fake-runtime-name", "sessionId":
"000000000000000000000000000000000000000000000000", "sessionSetupMode": "SystemWait",
"flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '846'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '5.646'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "get_dict_val", "type": "python",
"source": {"type": "code", "path": "get_dict_val.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "get_dict_val.py", "reduce": false}, {"name": "print_val", "type":
"python", "source": {"type": "code", "path": "print_val.py"}, "inputs": {"val":
"${get_dict_val.output.value}", "origin_val": "${get_dict_val.output.origin_value}"},
"tool": "print_val.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACgElEQVR4nGWSz2vcVRTFP/e9NzOZ1KDGohASslLEH6VLV0ak4l/QpeDCrfQPcNGliODKnVm4EBdBsIjQIlhciKW0ycKFVCSNbYnjdDLtmPnmO/nO9917XcxMkjYX3uLx7nnn3HOuMK2Nix4fP78ZdrYXVkLVWjf3l3B1B+HpcjzGFtmqa6cePz7/x0dnn1n5qhj3iBJPYREIURAJuCtpY8PjReDbrf9WG7H1fuefwQU9qKztTcMJT+PNnEFvjGVDBDlSsH6p/9MLzy6+NxwVqI8RAg4IPmWedMckdLYP6O6UpIaQfvyyXG012+e79/ZfHukoS1ISMT2hGTB1RkUmNgQ5QZ0w+a2VWDq73MbdEWmfnnv6UWe7oNzPaLapl5CwuLTXK9WUGBuCjqekzhP+z52ZXOrKMD3OJg0Hh778aiOuvpnYvp05d6GJO4iAO4QAe/eV36/X5LFRV4Zmn+AdkqlL8Vjp3oVioOz+WTPzzYEgsN+fgPLYyJVheSbPPVl2ikeGZRjtG52/8rHuaV9VOlpP2OtKyVndcRVCSqOhsvxa4vW359i6OuKdD+aP8Q4SYPdOzS/flGjt1JUSaMqZ5nwa1Y8qWb/Ud/eZZkHisYezEM0m+fcelDr8F1SqW2LNK6r1jXQwyLzy1hxvrLXZulry7ocL+FS6G4QIu3fG/Px1gdYeW7LIgXU2P/115TOA5G7e3Rmj2aS/m7l5pThiZzrCcE/d1XHzbln373nw7y6veeoUm5KCNKT/IPPwbiY1hYd/l5MIT65BMFt87sU4v9D7/JMflr44uV6hGh1+L4RCkg6z5iK2tAhNLeLsNGwYA4fDYnC/drvuuFxe86NV/x+Ut27g0FvykgAAAABJRU5ErkJggg==",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "get_dict_val.py", "type": "python",
"inputs": {"key": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "get_dict_val.py", "function":
"get_dict_val", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}, {"name": "print_val.py", "type": "python", "inputs": {"origin_val":
{"type": ["object"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "val": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "print_val.py",
"function": "print_val", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"key": {"type": "object", "is_chat_input": false}},
"outputs": {"output": {"type": "string", "reference": "${get_dict_val.output.value}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name", "flowRunId":
"name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"key": "{\"a\": 1}", "extra": "${data.url}"}, "outputDatastoreName":
"workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "c78d8e8c-ea02-4d03-945f-70223998a9bc",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13507'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.502'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "get_dict_val", "type": "python",
"source": {"type": "code", "path": "get_dict_val.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "get_dict_val.py", "reduce": false}, {"name": "print_val", "type":
"python", "source": {"type": "code", "path": "print_val.py"}, "inputs": {"val":
"${get_dict_val.output.value}", "origin_val": "${get_dict_val.output.origin_value}"},
"tool": "print_val.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "get_dict_val.py", "type": "python",
"inputs": {"key": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "get_dict_val.py", "function":
"get_dict_val", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}, {"name": "print_val.py", "type": "python", "inputs": {"origin_val":
{"type": ["object"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "val": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "print_val.py",
"function": "print_val", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"key": {"type": "object", "is_chat_input": false}},
"outputs": {"output": {"type": "string", "reference": "${get_dict_val.output.value}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name", "flowRunId":
"name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"key": "{\"a\": 1}", "extra": "${data.url}"}, "outputDatastoreName":
"workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "c78d8e8c-ea02-4d03-945f-70223998a9bc",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13507'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.344'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "get_dict_val", "type": "python",
"source": {"type": "code", "path": "get_dict_val.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "get_dict_val.py", "reduce": false}, {"name": "print_val", "type":
"python", "source": {"type": "code", "path": "print_val.py"}, "inputs": {"val":
"${get_dict_val.output.value}", "origin_val": "${get_dict_val.output.origin_value}"},
"tool": "print_val.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "get_dict_val.py", "type": "python",
"inputs": {"key": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "get_dict_val.py", "function":
"get_dict_val", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}, {"name": "print_val.py", "type": "python", "inputs": {"origin_val":
{"type": ["object"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "val": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "print_val.py",
"function": "print_val", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"key": {"type": "object", "is_chat_input": false}},
"outputs": {"output": {"type": "string", "reference": "${get_dict_val.output.value}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name", "flowRunId":
"name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"key": "{\"a\": 1}", "extra": "${data.url}"}, "outputDatastoreName":
"workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "c78d8e8c-ea02-4d03-945f-70223998a9bc",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13507'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.389'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "get_dict_val", "type": "python",
"source": {"type": "code", "path": "get_dict_val.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "get_dict_val.py", "reduce": false}, {"name": "print_val", "type":
"python", "source": {"type": "code", "path": "print_val.py"}, "inputs": {"val":
"${get_dict_val.output.value}", "origin_val": "${get_dict_val.output.origin_value}"},
"tool": "print_val.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "get_dict_val.py", "type": "python",
"inputs": {"key": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "get_dict_val.py", "function":
"get_dict_val", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}, {"name": "print_val.py", "type": "python", "inputs": {"origin_val":
{"type": ["object"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "val": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "print_val.py",
"function": "print_val", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"key": {"type": "object", "is_chat_input": false}},
"outputs": {"output": {"type": "string", "reference": "${get_dict_val.output.value}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name", "flowRunId":
"name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"key": "{\"a\": 1}", "extra": "${data.url}"}, "outputDatastoreName":
"workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "c78d8e8c-ea02-4d03-945f-70223998a9bc",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '13507'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.256'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705049320, "rootRunId": "name", "createdUtc":
"2024-01-12T08:48:40.1880896+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 6,
"statusRevision": 3, "runUuid": "c03c5a8f-a0b1-4a73-bc69-3fadbfb99de8", "parentRunUuid":
null, "rootRunUuid": "c03c5a8f-a0b1-4a73-bc69-3fadbfb99de8", "lastStartTimeUtc":
null, "currentComputeTime": null, "computeDuration": "00:00:04.4963653", "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:49:01.3781111+00:00", "duration":
"00:00:04.4963653", "cancelationReason": null, "currentAttemptId": 1, "runId":
"name", "parentRunId": null, "experimentId": "e3f25497-3a2f-4b85-9007-6878e87a4f82",
"status": "Completed", "startTimeUtc": "2024-01-12T08:48:57.727066+00:00",
"endTimeUtc": "2024-01-12T08:49:02.2234313+00:00", "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "3d2f008a09980a5f5e8942bd5f4c92141c535ef210ac813d",
"azureml.promptflow.flow_lineage_id": "3c6d1b895f186a7155e01b19db3460cb3ed8fa951d53c78bbede4ee2b2b2b4be",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/346e8722d2a6920d9a9bef5f572c67aa/flow_with_dict_input/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl",
"azureml.promptflow.inputs_mapping": "{\"key\":\"{\\\"a\\\": 1}\",\"extra\":\"${data.url}\"}",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"c78d8e8c-ea02-4d03-945f-70223998a9bc", "azureml.promptflow.total_tokens":
"0", "_azureml.evaluate_artifacts": "[{\"path\": \"instance_results.jsonl\",
\"type\": \"table\"}]"}, "parameters": {}, "actionUris": {}, "scriptName":
null, "target": null, "uniqueChildRunComputeTargets": [], "tags": {}, "settings":
{}, "services": {}, "inputDatasets": [], "outputDatasets": [], "runDefinition":
null, "jobSpecification": null, "primaryMetricName": null, "createdFrom":
null, "cancelUri": null, "completeUri": null, "diagnosticsUri": null, "computeRequest":
null, "compute": null, "retainForLifetimeOfWorkspace": false, "queueingInfo":
null, "inputs": null, "outputs": {"debug_info": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '4679'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.038'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/logContent
response:
body:
string: '"2024-01-12 08:48:43 +0000 78 promptflow-runtime INFO [name]
Receiving v2 bulk run request 73f31af6-46f6-464a-bff1-0620d10d6b0b: {\"flow_id\":
\"name\", \"flow_run_id\": \"name\", \"flow_source\": {\"flow_source_type\":
1, \"flow_source_info\": {\"snapshot_id\": \"c78d8e8c-ea02-4d03-945f-70223998a9bc\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A37%3A49Z&ske=2024-01-13T16%3A47%3A49Z&sks=b&skv=2019-07-07&st=2024-01-12T08%3A38%3A43Z&se=2024-01-12T16%3A48%3A43Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl\"},
\"inputs_mapping\": {\"key\": \"{\\\"a\\\": 1}\", \"extra\": \"${data.url}\"},
\"azure_storage_setting\": {\"azure_storage_mode\": 1, \"storage_account_name\":
\"promptfloweast4063704120\", \"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/name\", \"blob_container_sas_token\":
\"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A48%3A43Z&ske=2024-01-19T08%3A48%3A43Z&sks=b&skv=2019-07-07&se=2024-01-19T08%3A48%3A43Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 08:48:43 +0000 78
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:48:44 +0000 78 promptflow-runtime INFO Updating
name to Status.Preparing...\n2024-01-12 08:48:44 +0000 78 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/39415/requests/name\n2024-01-12
08:48:44 +0000 78 promptflow-runtime INFO Get snapshot sas url for
c78d8e8c-ea02-4d03-945f-70223998a9bc...\n2024-01-12 08:48:50 +0000 78
promptflow-runtime INFO Downloading snapshot c78d8e8c-ea02-4d03-945f-70223998a9bc
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/c78d8e8c-ea02-4d03-945f-70223998a9bc.zip...\n2024-01-12
08:48:50 +0000 78 promptflow-runtime INFO Downloaded file /mnt/host/service/app/39415/requests/name/c78d8e8c-ea02-4d03-945f-70223998a9bc.zip
with size 872 for snapshot c78d8e8c-ea02-4d03-945f-70223998a9bc.\n2024-01-12
08:48:50 +0000 78 promptflow-runtime INFO Download snapshot c78d8e8c-ea02-4d03-945f-70223998a9bc
completed.\n2024-01-12 08:48:50 +0000 78 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/39415/requests/name\n2024-01-12
08:48:50 +0000 78 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 08:48:50 +0000 78 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 08:48:50 +0000 78 promptflow-runtime
INFO Starting to check process 5834 status for run name\n2024-01-12 08:48:51
+0000 78 promptflow-runtime INFO Start checking run status for run
name\n2024-01-12 08:48:54 +0000 5834 promptflow-runtime INFO [78--5834]
Start processing flowV2......\n2024-01-12 08:48:56 +0000 5834 promptflow-runtime
INFO Runtime version: 20231204.v4. PromptFlow version: 1.2.0rc1\n2024-01-12
08:48:56 +0000 5834 promptflow-runtime INFO Setting mlflow tracking
uri...\n2024-01-12 08:48:56 +0000 5834 promptflow-runtime INFO Validating
''AzureML Data Scientist'' user authentication...\n2024-01-12 08:48:56 +0000 5834
promptflow-runtime INFO Successfully validated ''AzureML Data Scientist''
user authentication.\n2024-01-12 08:48:56 +0000 5834 promptflow-runtime
INFO Using AzureMLRunStorageV2\n2024-01-12 08:48:56 +0000 5834 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:48:56 +0000 5834 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 08:48:56 +0000 5834 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:48:57 +0000 5834 promptflow-runtime INFO Resolve data from url finished
in 0.5617876444011927 seconds\n2024-01-12 08:48:57 +0000 5834 promptflow-runtime
INFO Starting the aml run ''name''...\n2024-01-12 08:48:57 +0000 5834
execution.bulk INFO Using fork, process count: 3\n2024-01-12 08:48:58
+0000 5876 execution.bulk INFO Process 5876 started.\n2024-01-12
08:48:58 +0000 5834 execution.bulk INFO Process name: ForkProcess-72:2,
Process id: 5876, Line number: 0 start execution.\n2024-01-12 08:48:58 +0000 5886
execution.bulk INFO Process 5886 started.\n2024-01-12 08:48:58 +0000 5880
execution.bulk INFO Process 5880 started.\n2024-01-12 08:48:58 +0000 5834
execution.bulk INFO Process name: ForkProcess-72:4, Process id: 5886,
Line number: 1 start execution.\n2024-01-12 08:48:58 +0000 5834 execution.bulk INFO Process
name: ForkProcess-72:3, Process id: 5880, Line number: 2 start execution.\n2024-01-12
08:48:58 +0000 5834 execution.bulk INFO Process name: ForkProcess-72:2,
Process id: 5876, Line number: 0 completed.\n2024-01-12 08:48:58 +0000 5834
execution.bulk INFO Finished 1 / 3 lines.\n2024-01-12 08:48:58 +0000 5834
execution.bulk INFO Average execution time for completed lines: 0.33
seconds. Estimated time for incomplete lines: 0.66 seconds.\n2024-01-12 08:48:58
+0000 5834 execution.bulk INFO Process name: ForkProcess-72:3,
Process id: 5880, Line number: 2 completed.\n2024-01-12 08:48:58 +0000 5834
execution.bulk INFO Process name: ForkProcess-72:4, Process id: 5886,
Line number: 1 completed.\n2024-01-12 08:48:58 +0000 5834 execution.bulk INFO Finished
3 / 3 lines.\n2024-01-12 08:48:58 +0000 5834 execution.bulk INFO Finished
3 / 3 lines.\n2024-01-12 08:48:58 +0000 5834 execution.bulk INFO Average
execution time for completed lines: 0.18 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:48:58 +0000 5834 execution.bulk INFO Average
execution time for completed lines: 0.18 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:49:01 +0000 5834 execution.bulk INFO Upload
status summary metrics for run name finished in 1.5873911464586854 seconds\n2024-01-12
08:49:01 +0000 5834 promptflow-runtime INFO Successfully write run
properties {\"azureml.promptflow.total_tokens\": 0, \"_azureml.evaluate_artifacts\":
\"[{\\\"path\\\": \\\"instance_results.jsonl\\\", \\\"type\\\": \\\"table\\\"}]\"}
with run id ''name''\n2024-01-12 08:49:01 +0000 5834 execution.bulk INFO Upload
RH properties for run name finished in 0.0706604104489088 seconds\n2024-01-12
08:49:01 +0000 5834 promptflow-runtime INFO Creating unregistered output
Asset for Run name...\n2024-01-12 08:49:01 +0000 5834 promptflow-runtime
INFO Created debug_info Asset: azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1\n2024-01-12
08:49:01 +0000 5834 promptflow-runtime INFO Creating unregistered output
Asset for Run name...\n2024-01-12 08:49:01 +0000 5834 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1\n2024-01-12
08:49:01 +0000 5834 promptflow-runtime INFO Creating Artifact for Run
name...\n2024-01-12 08:49:02 +0000 5834 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-12 08:49:02 +0000 5834 promptflow-runtime
INFO Patching name...\n2024-01-12 08:49:02 +0000 5834 promptflow-runtime
INFO Ending the aml run ''name'' with status ''Completed''...\n2024-01-12
08:49:03 +0000 78 promptflow-runtime INFO Process 5834 finished\n2024-01-12
08:49:03 +0000 78 promptflow-runtime INFO [78] Child process finished!\n2024-01-12
08:49:03 +0000 78 promptflow-runtime INFO [name] End processing bulk
run\n2024-01-12 08:49:03 +0000 78 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/39415/requests/name for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '9845'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.942'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_cli_with_azure_TestCliWithAzure_test_run_file_with_set.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.072'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.083'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:29:22 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '49'
content-md5:
- quXiEreYvPinSj0HsaNa/g==
content-type:
- application/octet-stream
last-modified:
- Wed, 08 Nov 2023 04:26:09 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Wed, 08 Nov 2023 04:26:09 GMT
x-ms-meta-name:
- c4092674-5e53-4c17-b78d-75353ae0edb6
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 579021dc-8ac8-4c73-8110-4642bd00c69b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:29:23 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.087'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.154'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:29:26 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '245'
content-md5:
- F+JA0a3CxcLYZ0ANRdlZbA==
content-type:
- application/octet-stream
last-modified:
- Wed, 29 Nov 2023 02:51:35 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 17 Aug 2023 10:30:09 GMT
x-ms-meta-name:
- 56efdd28-6297-4baa-aad3-be46f4b768a2
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:29:27 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '[{"iKey": "8b52b368-4c91-4226-b7f7-be52822f0509", "tags": {"ai.cloud.role":
"pfazure", "ai.device.locale": "en_US", "ai.device.osVersion": "10.0.22631",
"ai.device.type": "Other", "ai.internal.sdkVersion": "py3.10.13:oc0.11.2:ext1.1.9",
"ai.operation.id": "00000000000000000000000000000000", "ai.operation.parentId":
"|00000000000000000000000000000000.0000000000000000."}, "time": "2024-01-12T08:29:20.185976Z",
"name": "Microsoft.ApplicationInsights.Event", "data": {"baseData": {"name":
"pfazure.run.create.start", "properties": {"request_id": "697ce07a-4e42-4b30-a6b8-7a1861d6af13",
"first_call": true, "activity_name": "pfazure.run.create", "activity_type":
"PublicApi", "user_agent": "promptflow-sdk/0.0.1 promptflow-cli/0.0.1", "subscription_id":
"96aede12-2f73-41cb-b983-6d11a904839b", "resource_group_name": "promptflow",
"workspace_name": "promptflow-eastus", "level": "INFO", "from_ci": false, "python_version":
"3.10.13", "installation_id": "9d18c597-0a5c-4e8c-8ef5-d7e9c4aa82a3"}, "measurements":
{}, "ver": 2}, "baseType": "EventData"}}]'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '1050'
Content-Type:
- application/json; charset=utf-8
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://dc.services.visualstudio.com/v2.1/track
response:
body:
string: '{"itemsReceived": 1, "itemsAccepted": 0, "errors": [{"index": 0, "statusCode":
307, "message": "Ingestion is allowed only from stamp specific endpoint -
Location: https://eastus-8.in.applicationinsights.azure.com/v2.1/track"}]}'
headers:
cache-control:
- max-age=604800
content-length:
- '217'
content-type:
- application/json; charset=utf-8
location:
- https://eastus-8.in.applicationinsights.azure.com/v2.1/track
server:
- Microsoft-HTTPAPI/2.0
strict-transport-security:
- max-age=31536000
x-content-type-options:
- nosniff
status:
code: 307
message: Temporary Redirect
- request:
body: '[{"iKey": "8b52b368-4c91-4226-b7f7-be52822f0509", "tags": {"ai.cloud.role":
"pfazure", "ai.device.locale": "en_US", "ai.device.osVersion": "10.0.22631",
"ai.device.type": "Other", "ai.internal.sdkVersion": "py3.10.13:oc0.11.2:ext1.1.9",
"ai.operation.id": "00000000000000000000000000000000", "ai.operation.parentId":
"|00000000000000000000000000000000.0000000000000000."}, "time": "2024-01-12T08:29:20.185976Z",
"name": "Microsoft.ApplicationInsights.Event", "data": {"baseData": {"name":
"pfazure.run.create.start", "properties": {"request_id": "697ce07a-4e42-4b30-a6b8-7a1861d6af13",
"first_call": true, "activity_name": "pfazure.run.create", "activity_type":
"PublicApi", "user_agent": "promptflow-sdk/0.0.1 promptflow-cli/0.0.1", "subscription_id":
"96aede12-2f73-41cb-b983-6d11a904839b", "resource_group_name": "promptflow",
"workspace_name": "promptflow-eastus", "level": "INFO", "from_ci": false, "python_version":
"3.10.13", "installation_id": "9d18c597-0a5c-4e8c-8ef5-d7e9c4aa82a3"}, "measurements":
{}, "ver": 2}, "baseType": "EventData"}}]'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '1050'
Content-Type:
- application/json; charset=utf-8
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus-8.in.applicationinsights.azure.com/v2.1/track
response:
body:
string: '{"itemsReceived": 1, "itemsAccepted": 1, "errors": []}'
headers:
content-length:
- '49'
content-type:
- application/json; charset=utf-8
server:
- Microsoft-HTTPAPI/2.0
strict-transport-security:
- max-age=31536000
x-content-type-options:
- nosniff
status:
code: 200
message: OK
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {"API_BASE":
"${azure_open_ai_connection.api_base}"}, "runtimeName": "fake-runtime-name",
"sessionId": "000000000000000000000000000000000000000000000000", "sessionSetupMode":
"SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '834'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.240'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "206db30f-ecd2-44bc-b68f-5d5b38a2cb27",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.505'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACgElEQVR4nGWSz2vcVRTFP/e9NzOZ1KDGohASslLEH6VLV0ak4l/QpeDCrfQPcNGliODKnVm4EBdBsIjQIlhciKW0ycKFVCSNbYnjdDLtmPnmO/nO9917XcxMkjYX3uLx7nnn3HOuMK2Nix4fP78ZdrYXVkLVWjf3l3B1B+HpcjzGFtmqa6cePz7/x0dnn1n5qhj3iBJPYREIURAJuCtpY8PjReDbrf9WG7H1fuefwQU9qKztTcMJT+PNnEFvjGVDBDlSsH6p/9MLzy6+NxwVqI8RAg4IPmWedMckdLYP6O6UpIaQfvyyXG012+e79/ZfHukoS1ISMT2hGTB1RkUmNgQ5QZ0w+a2VWDq73MbdEWmfnnv6UWe7oNzPaLapl5CwuLTXK9WUGBuCjqekzhP+z52ZXOrKMD3OJg0Hh778aiOuvpnYvp05d6GJO4iAO4QAe/eV36/X5LFRV4Zmn+AdkqlL8Vjp3oVioOz+WTPzzYEgsN+fgPLYyJVheSbPPVl2ikeGZRjtG52/8rHuaV9VOlpP2OtKyVndcRVCSqOhsvxa4vW359i6OuKdD+aP8Q4SYPdOzS/flGjt1JUSaMqZ5nwa1Y8qWb/Ud/eZZkHisYezEM0m+fcelDr8F1SqW2LNK6r1jXQwyLzy1hxvrLXZulry7ocL+FS6G4QIu3fG/Px1gdYeW7LIgXU2P/115TOA5G7e3Rmj2aS/m7l5pThiZzrCcE/d1XHzbln373nw7y6veeoUm5KCNKT/IPPwbiY1hYd/l5MIT65BMFt87sU4v9D7/JMflr44uV6hGh1+L4RCkg6z5iK2tAhNLeLsNGwYA4fDYnC/drvuuFxe86NV/x+Ut27g0FvykgAAAABJRU5ErkJggg==",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "206db30f-ecd2-44bc-b68f-5d5b38a2cb27",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.326'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705048174, "rootRunId": "name", "createdUtc":
"2024-01-12T08:29:34.2566196+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "475574d7-74d6-4a58-a724-c2b22b886214", "parentRunUuid":
null, "rootRunUuid": "475574d7-74d6-4a58-a724-c2b22b886214", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:29:37.8380143+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "6a87c3ae-5a75-4c5d-9eb9-5203b0062282", "status": "Preparing",
"startTimeUtc": null, "endTimeUtc": null, "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "62adccc385dd5d078797bdd0d2e1c55e120f3d5216885b81",
"azureml.promptflow.flow_lineage_id": "f1efdb93dcf9b3c17e246e7bcf0e2c7398d7bc289f8dd2c3d8f808eacc63c31f",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/3360ae705933fb90bcd290241ca0ece9/print_env_var/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"206db30f-ecd2-44bc-b68f-5d5b38a2cb27"}, "parameters": {}, "actionUris": {},
"scriptName": null, "target": null, "uniqueChildRunComputeTargets": [], "tags":
{}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '3849'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.047'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_env_overwrite.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.019'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.093'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.075'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.110'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:23:28 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '49'
content-md5:
- quXiEreYvPinSj0HsaNa/g==
content-type:
- application/octet-stream
last-modified:
- Wed, 08 Nov 2023 04:26:09 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Wed, 08 Nov 2023 04:26:09 GMT
x-ms-meta-name:
- c4092674-5e53-4c17-b78d-75353ae0edb6
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 579021dc-8ac8-4c73-8110-4642bd00c69b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:23:29 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.110'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.081'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:23:33 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '245'
content-md5:
- F+JA0a3CxcLYZ0ANRdlZbA==
content-type:
- application/octet-stream
last-modified:
- Wed, 29 Nov 2023 02:51:35 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 17 Aug 2023 10:30:09 GMT
x-ms-meta-name:
- 56efdd28-6297-4baa-aad3-be46f4b768a2
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:23:34 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {"API_BASE":
"${azure_open_ai_connection.api_base}"}, "runtimeName": "fake-runtime-name",
"sessionId": "000000000000000000000000000000000000000000000000", "sessionSetupMode":
"SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '834'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '7.230'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "3201c8ce-61da-4500-80ea-6355bc900b20",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.479'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705047820, "rootRunId": "name", "createdUtc":
"2024-01-12T08:23:40.613552+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "9e907354-c17d-45d6-871a-9131cee2618f", "parentRunUuid":
null, "rootRunUuid": "9e907354-c17d-45d6-871a-9131cee2618f", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:23:45.1829024+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "6a87c3ae-5a75-4c5d-9eb9-5203b0062282", "status": "Preparing",
"startTimeUtc": null, "endTimeUtc": null, "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "62adccc385dd5d078797bdd0d2e1c55e120f3d5216885b81",
"azureml.promptflow.flow_lineage_id": "f1efdb93dcf9b3c17e246e7bcf0e2c7398d7bc289f8dd2c3d8f808eacc63c31f",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/3360ae705933fb90bcd290241ca0ece9/print_env_var/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"3201c8ce-61da-4500-80ea-6355bc900b20"}, "parameters": {}, "actionUris": {},
"scriptName": null, "target": null, "uniqueChildRunComputeTargets": [], "tags":
{}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '3848'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.043'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_default_run_display_name.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.024'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.064'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.064'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.118'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:26:03 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '49'
content-md5:
- quXiEreYvPinSj0HsaNa/g==
content-type:
- application/octet-stream
last-modified:
- Wed, 08 Nov 2023 04:26:09 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Wed, 08 Nov 2023 04:26:09 GMT
x-ms-meta-name:
- c4092674-5e53-4c17-b78d-75353ae0edb6
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 579021dc-8ac8-4c73-8110-4642bd00c69b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:26:04 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.072'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.089'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:26:08 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '245'
content-md5:
- F+JA0a3CxcLYZ0ANRdlZbA==
content-type:
- application/octet-stream
last-modified:
- Wed, 29 Nov 2023 02:51:35 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 17 Aug 2023 10:30:09 GMT
x-ms-meta-name:
- 56efdd28-6297-4baa-aad3-be46f4b768a2
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:26:09 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {"API_BASE":
"${azure_open_ai_connection.api_base}"}, "runtimeName": "fake-runtime-name",
"sessionId": "000000000000000000000000000000000000000000000000", "sessionSetupMode":
"SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '834'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '7.150'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "9edd066b-dcf6-4639-933d-6ffb8be07a2c",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.409'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705047976, "rootRunId": "name", "createdUtc":
"2024-01-12T08:26:15.9964375+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "bb6b107f-d6e6-4948-8460-9be91342a76c", "parentRunUuid":
null, "rootRunUuid": "bb6b107f-d6e6-4948-8460-9be91342a76c", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:26:20.3894992+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "6a87c3ae-5a75-4c5d-9eb9-5203b0062282", "status": "Preparing",
"startTimeUtc": null, "endTimeUtc": null, "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "62adccc385dd5d078797bdd0d2e1c55e120f3d5216885b81",
"azureml.promptflow.flow_lineage_id": "f1efdb93dcf9b3c17e246e7bcf0e2c7398d7bc289f8dd2c3d8f808eacc63c31f",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/3360ae705933fb90bcd290241ca0ece9/print_env_var/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"9edd066b-dcf6-4639-933d-6ffb8be07a2c"}, "parameters": {}, "actionUris": {},
"scriptName": null, "target": null, "uniqueChildRunComputeTargets": [], "tags":
{}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '3849'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.066'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.027'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.214'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.066'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.192'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:39:26 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification1.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '127'
content-md5:
- i/8q1x5YKzHv3Fd/R8lYUQ==
content-type:
- application/octet-stream
last-modified:
- Fri, 28 Jul 2023 12:34:52 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 28 Jul 2023 12:34:52 GMT
x-ms-meta-name:
- 13fa99dd-c98e-4f2a-a704-4295d4ed6f68
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 0367c5c6-9f53-4a75-8623-7e53699f0d0b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:39:27 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification1.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.093'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.081'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:39:31 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '853'
content-md5:
- ylTeNqjvuOvtzEZJ/X5n3A==
content-type:
- application/octet-stream
last-modified:
- Fri, 12 Jan 2024 08:13:57 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 12 Jan 2024 08:13:56 GMT
x-ms-meta-name:
- 950201e8-c52c-4b15-ada1-5e58de9b2f4d
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:39:32 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/web_classification/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "nodeVariant":
"${summarize_text_content.variant_0}", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification1.jsonl"},
"inputsMapping": {"url": "${data.url}"}, "connections": {}, "environmentVariables":
{}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '873'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.880'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
"python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
"inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
"reduce": false}, {"name": "prepare_examples", "type": "python", "source":
{"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
"reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
"code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
"gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
"1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
"frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
"examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
"tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
{"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
"convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
"tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
"type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
"inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
"128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
"stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
"1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
"summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
"tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
{"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "hate_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"description": "Use Azure Content Safety to detect harmful content.", "module":
"promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
"prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text_content":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
"type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
"function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
"source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
"type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
"is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
"${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name", "flowRunId":
"name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/107bd3498e44deb2dccc53d2208d32b2/webClassification1.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "f8f59233-47fa-48df-a9e1-fc6866b7597e",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '16239'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.210'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705048778, "rootRunId": "name", "createdUtc":
"2024-01-12T08:39:38.859607+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "ead544d1-f5d3-4eb1-b931-ab04cd0e1b39", "parentRunUuid":
null, "rootRunUuid": "ead544d1-f5d3-4eb1-b931-ab04cd0e1b39", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:39:43.2026482+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "d30efbeb-f81d-4cfa-b5cc-a0570a049009", "status": "Preparing",
"startTimeUtc": null, "endTimeUtc": null, "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "4dd8f4d5f44dfeb817d3438cf84bd739215d87afd9458597",
"azureml.promptflow.flow_lineage_id": "af1a6951de9be2ce13d3b58b23dbd8b6a0cd8fd4918ad9cb22b28fb8395fbcb0",
"azureml.promptflow.node_variant": "${summarize_text_content.variant_0}",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/a1fa6ef1ead7ff3ce76b36250f6f5461/web_classification/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/107bd3498e44deb2dccc53d2208d32b2/webClassification1.jsonl",
"azureml.promptflow.inputs_mapping": "{\"url\":\"${data.url}\"}", "_azureml.evaluation_run":
"promptflow.BatchRun", "azureml.promptflow.snapshot_id": "f8f59233-47fa-48df-a9e1-fc6866b7597e"},
"parameters": {}, "actionUris": {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets":
[], "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '4010'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.037'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_remote_data.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.021'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.074'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/data/webClassification1/versions/1
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/data/webClassification1/versions/1",
"name": "1", "type": "Microsoft.MachineLearningServices/workspaces/00000/versions",
"properties": {"description": null, "tags": {}, "properties": {}, "isArchived":
false, "isAnonymous": false, "autoDeleteSetting": null, "dataUri": "azureml://subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/workspaces/00000/datastores/workspaceblobstore/paths/LocalUpload/eda0bdf303d802b35c788f378fa379f6/webClassification1.jsonl",
"stage": null, "intellectualProperty": null, "dataType": "uri_file"}, "systemData":
{"createdAt": "2023-07-28T06:38:13.7134012+00:00", "createdBy": "Han Wang",
"createdByType": "User", "lastModifiedAt": "2023-07-28T06:38:13.7232364+00:00"}}'
headers:
cache-control:
- no-cache
content-length:
- '967'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.065'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.110'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.093'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:27:04 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '853'
content-md5:
- ylTeNqjvuOvtzEZJ/X5n3A==
content-type:
- application/octet-stream
last-modified:
- Fri, 12 Jan 2024 08:13:57 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 12 Jan 2024 08:13:56 GMT
x-ms-meta-name:
- 950201e8-c52c-4b15-ada1-5e58de9b2f4d
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:27:05 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/web_classification/flow.dag.yaml",
"runId": "name1", "runDisplayName": "name1", "runExperimentName": "", "nodeVariant":
"${summarize_text_content.variant_0}", "batchDataInput": {"dataUri": "azureml:/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/data/webClassification1/versions/1"},
"inputsMapping": {"url": "${data.url}"}, "connections": {}, "environmentVariables":
{}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '951'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name1"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.747'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name1
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
"python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
"inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
"reduce": false}, {"name": "prepare_examples", "type": "python", "source":
{"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
"reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
"code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
"gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
"1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
"frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
"examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
"tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
{"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
"convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
"tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
"type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
"inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
"128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
"stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
"1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
"summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
"tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
{"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "hate_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"description": "Use Azure Content Safety to detect harmful content.", "module":
"promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
"prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text_content":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
"type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
"function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
"source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
"type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
"is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
"${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/name1/flowRuns/name1",
"flowRunId": "name1", "flowRunDisplayName": "name1", "batchDataInput": {"dataUri":
"azureml:/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/data/webClassification1/versions/1"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/name1/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "ba83ca75-b287-419f-acdd-c8e689f307f0",
"studioPortalEndpoint": "https://ml.azure.com/runs/name1?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '16317'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.570'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.104'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.118'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:27:23 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '853'
content-md5:
- ylTeNqjvuOvtzEZJ/X5n3A==
content-type:
- application/octet-stream
last-modified:
- Fri, 12 Jan 2024 08:13:57 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 12 Jan 2024 08:13:56 GMT
x-ms-meta-name:
- 950201e8-c52c-4b15-ada1-5e58de9b2f4d
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:27:24 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/web_classification/flow.dag.yaml",
"runId": "name2", "runDisplayName": "name2", "runExperimentName": "", "nodeVariant":
"${summarize_text_content.variant_0}", "batchDataInput": {"dataUri": "azureml:webClassification1:1"},
"inputsMapping": {"url": "${data.url}"}, "connections": {}, "environmentVariables":
{}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '786'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name2"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.699'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name2
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
"python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
"inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
"reduce": false}, {"name": "prepare_examples", "type": "python", "source":
{"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
"reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
"code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
"gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
"1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
"frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
"examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
"tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
{"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
"convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
"tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
"type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
"inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
"128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
"stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
"1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
"summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
"tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
{"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "hate_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"description": "Use Azure Content Safety to detect harmful content.", "module":
"promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
"prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text_content":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
"type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
"function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
"source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
"type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
"is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
"${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/name2/flowRuns/name2",
"flowRunId": "name2", "flowRunDisplayName": "name2", "batchDataInput": {"dataUri":
"azureml:webClassification1:1"}, "flowRunType": "FlowRun", "flowType": "Default",
"runtimeName": "test-runtime-ci", "inputsMapping": {"url": "${data.url}"},
"outputDatastoreName": "workspaceblobstore", "childRunBasePath": "promptflow/PromptFlowArtifacts/name2/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "51376fb3-4454-4fa2-8dbd-f6648d21baa1",
"studioPortalEndpoint": "https://ml.azure.com/runs/name2?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '16152'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.372'
status:
code: 200
message: OK
- request:
body: '{"runId": "name1", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705048031, "rootRunId": "name1", "createdUtc":
"2024-01-12T08:27:11.4116508+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "22677830-0d9d-4aeb-bcbe-ca582f1de5b5", "parentRunUuid":
null, "rootRunUuid": "22677830-0d9d-4aeb-bcbe-ca582f1de5b5", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:27:15.6823724+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name1",
"parentRunId": null, "experimentId": "d30efbeb-f81d-4cfa-b5cc-a0570a049009",
"status": "Preparing", "startTimeUtc": null, "endTimeUtc": null, "scheduleId":
null, "displayName": "name1", "name": null, "dataContainerId": "dcid.name1",
"description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": "AmlcDsi"}, "properties": {"azureml.promptflow.runtime_name":
"test-runtime-ci", "azureml.promptflow.runtime_version": "20231204.v4", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "4dd8f4d5f44dfeb817d3438cf84bd739215d87afd9458597",
"azureml.promptflow.flow_lineage_id": "af1a6951de9be2ce13d3b58b23dbd8b6a0cd8fd4918ad9cb22b28fb8395fbcb0",
"azureml.promptflow.node_variant": "${summarize_text_content.variant_0}",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/a1fa6ef1ead7ff3ce76b36250f6f5461/web_classification/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml:/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/data/webClassification1/versions/1",
"azureml.promptflow.inputs_mapping": "{\"url\":\"${data.url}\"}", "_azureml.evaluation_run":
"promptflow.BatchRun", "azureml.promptflow.snapshot_id": "ba83ca75-b287-419f-acdd-c8e689f307f0"},
"parameters": {}, "actionUris": {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets":
[], "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '4089'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.048'
status:
code: 200
message: OK
- request:
body: '{"runId": "name2", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705048050, "rootRunId": "name2", "createdUtc":
"2024-01-12T08:27:30.5514756+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "7869afd9-9049-4059-972c-5ab6e4240e4d", "parentRunUuid":
null, "rootRunUuid": "7869afd9-9049-4059-972c-5ab6e4240e4d", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:27:34.4523026+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name2",
"parentRunId": null, "experimentId": "d30efbeb-f81d-4cfa-b5cc-a0570a049009",
"status": "Preparing", "startTimeUtc": null, "endTimeUtc": null, "scheduleId":
null, "displayName": "name2", "name": null, "dataContainerId": "dcid.name2",
"description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": "AmlcDsi"}, "properties": {"azureml.promptflow.runtime_name":
"test-runtime-ci", "azureml.promptflow.runtime_version": "20231204.v4", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "4dd8f4d5f44dfeb817d3438cf84bd739215d87afd9458597",
"azureml.promptflow.flow_lineage_id": "af1a6951de9be2ce13d3b58b23dbd8b6a0cd8fd4918ad9cb22b28fb8395fbcb0",
"azureml.promptflow.node_variant": "${summarize_text_content.variant_0}",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/a1fa6ef1ead7ff3ce76b36250f6f5461/web_classification/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml:webClassification1:1", "azureml.promptflow.inputs_mapping":
"{\"url\":\"${data.url}\"}", "_azureml.evaluation_run": "promptflow.BatchRun",
"azureml.promptflow.snapshot_id": "51376fb3-4454-4fa2-8dbd-f6648d21baa1"},
"parameters": {}, "actionUris": {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets":
[], "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '3924'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.049'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_failed_run_to_dict_exclude.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.020'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.189'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.092'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.104'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:02:51 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '379'
content-md5:
- lI/pz9jzTQ7Td3RHPL7y7w==
content-type:
- application/octet-stream
last-modified:
- Mon, 06 Nov 2023 08:30:18 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Mon, 06 Nov 2023 08:30:18 GMT
x-ms-meta-name:
- 94331215-cf7f-452a-9f1a-1d276bc9b0e4
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 3f163752-edb0-4afc-a6f5-b0a670bd7c24
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:02:53 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.091'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.078'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:02:56 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/partial_fail/data.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '52'
content-md5:
- kHimciLnA7d3/I2LBUeLNA==
content-type:
- application/octet-stream
last-modified:
- Fri, 22 Sep 2023 09:37:31 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 22 Sep 2023 09:37:30 GMT
x-ms-meta-name:
- aa1844d8-4898-4daa-8100-6140558fc7c9
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:02:57 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/partial_fail/data.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/partial_fail/flow.dag.yaml",
"runId": "failed_run_name", "runDisplayName": "sdk-cli-test-fixture-failed-run",
"runExperimentName": "", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {}, "runtimeName":
"fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '782'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"failed_run_name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '8.331'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/failed_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/failed_run_name/flowRuns/failed_run_name",
"flowRunId": "failed_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-failed-run",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/failed_run_name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "5132ecba-405b-4fa2-85de-01c959708f2e",
"studioPortalEndpoint": "https://ml.azure.com/runs/failed_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.229'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/failed_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/failed_run_name/flowRuns/failed_run_name",
"flowRunId": "failed_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-failed-run",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/failed_run_name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "5132ecba-405b-4fa2-85de-01c959708f2e",
"studioPortalEndpoint": "https://ml.azure.com/runs/failed_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.428'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/failed_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACgElEQVR4nGWSz2vcVRTFP/e9NzOZ1KDGohASslLEH6VLV0ak4l/QpeDCrfQPcNGliODKnVm4EBdBsIjQIlhciKW0ycKFVCSNbYnjdDLtmPnmO/nO9917XcxMkjYX3uLx7nnn3HOuMK2Nix4fP78ZdrYXVkLVWjf3l3B1B+HpcjzGFtmqa6cePz7/x0dnn1n5qhj3iBJPYREIURAJuCtpY8PjReDbrf9WG7H1fuefwQU9qKztTcMJT+PNnEFvjGVDBDlSsH6p/9MLzy6+NxwVqI8RAg4IPmWedMckdLYP6O6UpIaQfvyyXG012+e79/ZfHukoS1ISMT2hGTB1RkUmNgQ5QZ0w+a2VWDq73MbdEWmfnnv6UWe7oNzPaLapl5CwuLTXK9WUGBuCjqekzhP+z52ZXOrKMD3OJg0Hh778aiOuvpnYvp05d6GJO4iAO4QAe/eV36/X5LFRV4Zmn+AdkqlL8Vjp3oVioOz+WTPzzYEgsN+fgPLYyJVheSbPPVl2ikeGZRjtG52/8rHuaV9VOlpP2OtKyVndcRVCSqOhsvxa4vW359i6OuKdD+aP8Q4SYPdOzS/flGjt1JUSaMqZ5nwa1Y8qWb/Ud/eZZkHisYezEM0m+fcelDr8F1SqW2LNK6r1jXQwyLzy1hxvrLXZulry7ocL+FS6G4QIu3fG/Px1gdYeW7LIgXU2P/115TOA5G7e3Rmj2aS/m7l5pThiZzrCcE/d1XHzbln373nw7y6veeoUm5KCNKT/IPPwbiY1hYd/l5MIT65BMFt87sU4v9D7/JMflr44uV6hGh1+L4RCkg6z5iK2tAhNLeLsNGwYA4fDYnC/drvuuFxe86NV/x+Ut27g0FvykgAAAABJRU5ErkJggg==",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/failed_run_name/flowRuns/failed_run_name",
"flowRunId": "failed_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-failed-run",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/failed_run_name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "5132ecba-405b-4fa2-85de-01c959708f2e",
"studioPortalEndpoint": "https://ml.azure.com/runs/failed_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.381'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/failed_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/failed_run_name/flowRuns/failed_run_name",
"flowRunId": "failed_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-failed-run",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/failed_run_name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "5132ecba-405b-4fa2-85de-01c959708f2e",
"studioPortalEndpoint": "https://ml.azure.com/runs/failed_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.405'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/failed_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/failed_run_name/flowRuns/failed_run_name",
"flowRunId": "failed_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-failed-run",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/failed_run_name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "5132ecba-405b-4fa2-85de-01c959708f2e",
"studioPortalEndpoint": "https://ml.azure.com/runs/failed_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12855'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.248'
status:
code: 200
message: OK
- request:
body: '{"runId": "failed_run_name", "selectRunMetadata": true, "selectRunDefinition":
true, "selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705046584, "rootRunId": "failed_run_name",
"createdUtc": "2024-01-12T08:03:04.1182041+00:00", "createdBy": {"userObjectId":
"00000000-0000-0000-0000-000000000000", "userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": {"error": {"code": "UserError", "severity":
null, "message": "The input for batch run is incorrect. Couldn''t find these
mapping relations: ${data.key}. Please make sure your input mapping keys and
values match your YAML input section and input data. For more information,
refer to the following documentation: https://aka.ms/pf/column-mapping", "messageFormat":
"The input for batch run is incorrect. Couldn''t find these mapping relations:
{invalid_relations}. Please make sure your input mapping keys and values match
your YAML input section and input data. For more information, refer to the
following documentation: https://aka.ms/pf/column-mapping", "messageParameters":
{"invalid_relations": "${data.key}"}, "referenceCode": "Executor", "detailsUri":
null, "target": null, "details": [], "innerError": {"code": "ValidationError",
"innerError": {"code": "InputMappingError", "innerError": null}}, "debugInfo":
{"type": "InputMappingError", "message": "The input for batch run is incorrect.
Couldn''t find these mapping relations: ${data.key}. Please make sure your
input mapping keys and values match your YAML input section and input data.
For more information, refer to the following documentation: https://aka.ms/pf/column-mapping",
"stackTrace": "Traceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/runtime/runtime.py\",
line 671, in execute_bulk_run_request\n batch_engine.run(\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_engine.py\",
line 147, in run\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_engine.py\",
line 132, in run\n batch_inputs = batch_input_processor.process_batch_inputs(input_dirs,
inputs_mapping)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 41, in process_batch_inputs\n return self._validate_and_apply_inputs_mapping(input_dicts,
inputs_mapping)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 91, in _validate_and_apply_inputs_mapping\n resolved_inputs = self._apply_inputs_mapping_for_all_lines(inputs,
inputs_mapping)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 163, in _apply_inputs_mapping_for_all_lines\n result = [apply_inputs_mapping(item,
inputs_mapping) for item in merged_list]\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 163, in <listcomp>\n result = [apply_inputs_mapping(item, inputs_mapping)
for item in merged_list]\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 292, in apply_inputs_mapping\n raise InputMappingError(\n", "innerException":
null, "data": null, "errorResponse": null}, "additionalInfo": null}, "correlation":
null, "environment": null, "location": null, "time": "2024-01-12T08:03:23.917435+00:00",
"componentName": "promptflow-runtime/20231204.v4 Designer/1.0 promptflow-sdk/0.0.1
azsdk-python-azuremachinelearningdesignerserviceclient/unknown Python/3.10.13
(Windows-10-10.0.22631-SP0) promptflow/1.2.0rc1"}, "warnings": null, "revision":
7, "statusRevision": 3, "runUuid": "d70fd62f-58da-4194-9181-8f598c163252",
"parentRunUuid": null, "rootRunUuid": "d70fd62f-58da-4194-9181-8f598c163252",
"lastStartTimeUtc": null, "currentComputeTime": null, "computeDuration": "00:00:01.9157474",
"effectiveStartTimeUtc": null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:03:23.3386801+00:00", "duration":
"00:00:01.9157474", "cancelationReason": null, "currentAttemptId": 1, "runId":
"failed_run_name", "parentRunId": null, "experimentId": "1848033e-509f-4c52-92ee-f0a0121fe99e",
"status": "Failed", "startTimeUtc": "2024-01-12T08:03:22.2208565+00:00", "endTimeUtc":
"2024-01-12T08:03:24.1366039+00:00", "scheduleId": null, "displayName": "sdk-cli-test-fixture-failed-run",
"name": null, "dataContainerId": "dcid.failed_run_name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "31858a8dfc61a642bb0ab6df4fc3ac7b3807de4ffead00d1",
"azureml.promptflow.flow_lineage_id": "de293df4f50622090c0225852d59cd663b6b629e38728f7444fa0f12255a0647",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/bc20fa079592a8072922533f187e3184/partial_fail/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"5132ecba-405b-4fa2-85de-01c959708f2e", "azureml.promptflow.total_tokens":
"0", "_azureml.evaluate_artifacts": "[{\"path\": \"instance_results.jsonl\",
\"type\": \"table\"}]"}, "parameters": {}, "actionUris": {}, "scriptName":
null, "target": null, "uniqueChildRunComputeTargets": [], "tags": {}, "settings":
{}, "services": {}, "inputDatasets": [], "outputDatasets": [], "runDefinition":
null, "jobSpecification": null, "primaryMetricName": null, "createdFrom":
null, "cancelUri": null, "completeUri": null, "diagnosticsUri": null, "computeRequest":
null, "compute": null, "retainForLifetimeOfWorkspace": false, "queueingInfo":
null, "inputs": null, "outputs": {"debug_info": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_failed_run_name_output_data_debug_info/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '7988'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.061'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/failed_run_name/logContent
response:
body:
string: '"2024-01-12 08:03:09 +0000 49 promptflow-runtime INFO [failed_run_name]
Receiving v2 bulk run request 4babbe77-fec5-48ec-9949-b3bb23717de0: {\"flow_id\":
\"failed_run_name\", \"flow_run_id\": \"failed_run_name\", \"flow_source\":
{\"flow_source_type\": 1, \"flow_source_info\": {\"snapshot_id\": \"5132ecba-405b-4fa2-85de-01c959708f2e\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.failed_run_name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A53%3A03Z&ske=2024-01-13T16%3A03%3A03Z&sks=b&skv=2019-07-07&st=2024-01-12T07%3A53%3A08Z&se=2024-01-12T16%3A03%3A08Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl\"},
\"azure_storage_setting\": {\"azure_storage_mode\": 1, \"storage_account_name\":
\"promptfloweast4063704120\", \"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/failed_run_name\",
\"blob_container_sas_token\": \"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T08%3A03%3A09Z&ske=2024-01-19T08%3A03%3A08Z&sks=b&skv=2019-07-07&se=2024-01-19T08%3A03%3A08Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 08:03:09 +0000 49
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:03:09 +0000 49 promptflow-runtime INFO Updating
failed_run_name to Status.Preparing...\n2024-01-12 08:03:09 +0000 49
promptflow-runtime INFO Downloading snapshot to /mnt/host/service/app/39649/requests/failed_run_name\n2024-01-12
08:03:09 +0000 49 promptflow-runtime INFO Get snapshot sas url for
5132ecba-405b-4fa2-85de-01c959708f2e...\n2024-01-12 08:03:16 +0000 49
promptflow-runtime INFO Downloading snapshot 5132ecba-405b-4fa2-85de-01c959708f2e
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/5132ecba-405b-4fa2-85de-01c959708f2e.zip...\n2024-01-12
08:03:16 +0000 49 promptflow-runtime INFO Downloaded file /mnt/host/service/app/39649/requests/failed_run_name/5132ecba-405b-4fa2-85de-01c959708f2e.zip
with size 701 for snapshot 5132ecba-405b-4fa2-85de-01c959708f2e.\n2024-01-12
08:03:16 +0000 49 promptflow-runtime INFO Download snapshot 5132ecba-405b-4fa2-85de-01c959708f2e
completed.\n2024-01-12 08:03:16 +0000 49 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/39649/requests/failed_run_name\n2024-01-12
08:03:16 +0000 49 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 08:03:16 +0000 49 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 08:03:16 +0000 49 promptflow-runtime
INFO Starting to check process 3482 status for run failed_run_name\n2024-01-12
08:03:16 +0000 49 promptflow-runtime INFO Start checking run status
for run failed_run_name\n2024-01-12 08:03:20 +0000 3482 promptflow-runtime
INFO [49--3482] Start processing flowV2......\n2024-01-12 08:03:20 +0000 3482
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:03:20 +0000 3482 promptflow-runtime INFO Setting
mlflow tracking uri...\n2024-01-12 08:03:20 +0000 3482 promptflow-runtime
INFO Validating ''AzureML Data Scientist'' user authentication...\n2024-01-12
08:03:21 +0000 3482 promptflow-runtime INFO Successfully validated
''AzureML Data Scientist'' user authentication.\n2024-01-12 08:03:21 +0000 3482
promptflow-runtime INFO Using AzureMLRunStorageV2\n2024-01-12 08:03:21
+0000 3482 promptflow-runtime INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:03:21 +0000 3482 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 08:03:21 +0000 3482 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:03:21 +0000 3482 promptflow-runtime INFO Resolve data from url finished
in 0.5524158906191587 seconds\n2024-01-12 08:03:21 +0000 3482 promptflow-runtime
INFO Starting the aml run ''failed_run_name''...\n2024-01-12 08:03:22
+0000 3482 execution WARNING Starting run without column mapping
may lead to unexpected results. Please consult the following documentation
for more information: https://aka.ms/pf/column-mapping\n2024-01-12 08:03:22
+0000 3482 execution.bulk ERROR Error occurred while executing batch
run. Exception: The input for batch run is incorrect. Couldn''t find these
mapping relations: ${data.key}. Please make sure your input mapping keys and
values match your YAML input section and input data. For more information,
refer to the following documentation: https://aka.ms/pf/column-mapping\n2024-01-12
08:03:22 +0000 3482 promptflow-runtime ERROR Run failed_run_name failed.
Exception: {\n \"message\": \"The input for batch run is incorrect. Couldn''t
find these mapping relations: ${data.key}. Please make sure your input mapping
keys and values match your YAML input section and input data. For more information,
refer to the following documentation: https://aka.ms/pf/column-mapping\",\n \"messageFormat\":
\"The input for batch run is incorrect. Couldn''t find these mapping relations:
{invalid_relations}. Please make sure your input mapping keys and values match
your YAML input section and input data. For more information, refer to the
following documentation: https://aka.ms/pf/column-mapping\",\n \"messageParameters\":
{\n \"invalid_relations\": \"${data.key}\"\n },\n \"referenceCode\":
\"Executor\",\n \"code\": \"UserError\",\n \"innerError\": {\n \"code\":
\"ValidationError\",\n \"innerError\": {\n \"code\": \"InputMappingError\",\n \"innerError\":
null\n }\n },\n \"debugInfo\": {\n \"type\": \"InputMappingError\",\n \"message\":
\"The input for batch run is incorrect. Couldn''t find these mapping relations:
${data.key}. Please make sure your input mapping keys and values match your
YAML input section and input data. For more information, refer to the following
documentation: https://aka.ms/pf/column-mapping\",\n \"stackTrace\": \"Traceback
(most recent call last):\\n File \\\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/runtime/runtime.py\\\",
line 671, in execute_bulk_run_request\\n batch_engine.run(\\n File \\\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_engine.py\\\",
line 147, in run\\n raise e\\n File \\\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_engine.py\\\",
line 132, in run\\n batch_inputs = batch_input_processor.process_batch_inputs(input_dirs,
inputs_mapping)\\n File \\\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\\\",
line 41, in process_batch_inputs\\n return self._validate_and_apply_inputs_mapping(input_dicts,
inputs_mapping)\\n File \\\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\\\",
line 91, in _validate_and_apply_inputs_mapping\\n resolved_inputs = self._apply_inputs_mapping_for_all_lines(inputs,
inputs_mapping)\\n File \\\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\\\",
line 163, in _apply_inputs_mapping_for_all_lines\\n result = [apply_inputs_mapping(item,
inputs_mapping) for item in merged_list]\\n File \\\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\\\",
line 163, in <listcomp>\\n result = [apply_inputs_mapping(item, inputs_mapping)
for item in merged_list]\\n File \\\"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\\\",
line 292, in apply_inputs_mapping\\n raise InputMappingError(\\n\",\n \"innerException\":
null\n }\n}\nTraceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/runtime/runtime.py\",
line 671, in execute_bulk_run_request\n batch_engine.run(\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_engine.py\",
line 147, in run\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_engine.py\",
line 132, in run\n batch_inputs = batch_input_processor.process_batch_inputs(input_dirs,
inputs_mapping)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 41, in process_batch_inputs\n return self._validate_and_apply_inputs_mapping(input_dicts,
inputs_mapping)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 91, in _validate_and_apply_inputs_mapping\n resolved_inputs = self._apply_inputs_mapping_for_all_lines(inputs,
inputs_mapping)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 163, in _apply_inputs_mapping_for_all_lines\n result = [apply_inputs_mapping(item,
inputs_mapping) for item in merged_list]\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 163, in <listcomp>\n result = [apply_inputs_mapping(item, inputs_mapping)
for item in merged_list]\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 292, in apply_inputs_mapping\n raise InputMappingError(\npromptflow.batch._errors.InputMappingError:
The input for batch run is incorrect. Couldn''t find these mapping relations:
${data.key}. Please make sure your input mapping keys and values match your
YAML input section and input data. For more information, refer to the following
documentation: https://aka.ms/pf/column-mapping\n2024-01-12 08:03:23 +0000 3482
execution.bulk INFO Upload status summary metrics for run failed_run_name
finished in 0.7668862864375114 seconds\n2024-01-12 08:03:23 +0000 3482
promptflow-runtime INFO Successfully write run properties {\"azureml.promptflow.total_tokens\":
0, \"_azureml.evaluate_artifacts\": \"[{\\\"path\\\": \\\"instance_results.jsonl\\\",
\\\"type\\\": \\\"table\\\"}]\"} with run id ''failed_run_name''\n2024-01-12
08:03:23 +0000 3482 execution.bulk INFO Upload RH properties for
run failed_run_name finished in 0.07698679156601429 seconds\n2024-01-12 08:03:23
+0000 3482 promptflow-runtime INFO Creating unregistered output Asset
for Run failed_run_name...\n2024-01-12 08:03:23 +0000 3482 promptflow-runtime
INFO Created debug_info Asset: azureml://locations/eastus/workspaces/00000/data/azureml_failed_run_name_output_data_debug_info/versions/1\n2024-01-12
08:03:23 +0000 3482 promptflow-runtime INFO Patching failed_run_name...\n2024-01-12
08:03:23 +0000 3482 promptflow-runtime WARNING [failed_run_name] Run failed.
Execution stackTrace: Traceback (most recent call last):\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/runtime/runtime.py\",
line 671, in execute_bulk_run_request\n batch_engine.run(\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_engine.py\",
line 147, in run\n raise e\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_engine.py\",
line 132, in run\n batch_inputs = batch_input_processor.process_batch_inputs(input_dirs,
inputs_mapping)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 41, in process_batch_inputs\n return self._validate_and_apply_inputs_mapping(input_dicts,
inputs_mapping)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 91, in _validate_and_apply_inputs_mapping\n resolved_inputs = self._apply_inputs_mapping_for_all_lines(inputs,
inputs_mapping)\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 163, in _apply_inputs_mapping_for_all_lines\n result = [apply_inputs_mapping(item,
inputs_mapping) for item in merged_list]\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 163, in <listcomp>\n result = [apply_inputs_mapping(item, inputs_mapping)
for item in merged_list]\n File \"/azureml-envs/prompt-flow/runtime/lib/python3.10/site-packages/promptflow/batch/_batch_inputs_processor.py\",
line 292, in apply_inputs_mapping\n raise InputMappingError(\n\n2024-01-12
08:03:24 +0000 3482 promptflow-runtime INFO Ending the aml run ''failed_run_name''
with status ''Failed''...\n2024-01-12 08:03:25 +0000 49 promptflow-runtime
INFO Process 3482 finished\n2024-01-12 08:03:25 +0000 49 promptflow-runtime
INFO [49] Child process finished!\n2024-01-12 08:03:25 +0000 49 promptflow-runtime
INFO [failed_run_name] End processing bulk run\n2024-01-12 08:03:25 +0000 49
promptflow-runtime ERROR Submit flow request failed Code: 400 InnerException
type: InputMappingError Exception type hierarchy: UserError/ValidationError/InputMappingError\n2024-01-12
08:03:25 +0000 49 promptflow-runtime INFO Cleanup working dir /mnt/host/service/app/39649/requests/failed_run_name
for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '15117'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.616'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_stream_run_logs.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.029'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.047'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.149'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.096'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:59:11 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '379'
content-md5:
- lI/pz9jzTQ7Td3RHPL7y7w==
content-type:
- application/octet-stream
last-modified:
- Mon, 06 Nov 2023 08:30:18 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Mon, 06 Nov 2023 08:30:18 GMT
x-ms-meta-name:
- 94331215-cf7f-452a-9f1a-1d276bc9b0e4
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 3f163752-edb0-4afc-a6f5-b0a670bd7c24
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:59:12 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification3.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.095'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.129'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:59:16 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/hello-world/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '266'
content-md5:
- UZm3TyOoKWjSR23+Up6qUA==
content-type:
- application/octet-stream
last-modified:
- Tue, 19 Dec 2023 06:05:25 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 19 Dec 2023 06:05:25 GMT
x-ms-meta-name:
- 7b68bf5e-6ef4-4eb3-9f49-28f9a5baad87
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 07:59:17 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/hello-world/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/hello-world/flow.dag.yaml",
"runId": "batch_run_name", "runDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"runExperimentName": "", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification3.jsonl"},
"inputsMapping": {"name": "${data.url}"}, "connections": {}, "environmentVariables":
{}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '812'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"batch_run_name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '37.049'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAACgElEQVR4nGWSz2vcVRTFP/e9NzOZ1KDGohASslLEH6VLV0ak4l/QpeDCrfQPcNGliODKnVm4EBdBsIjQIlhciKW0ycKFVCSNbYnjdDLtmPnmO/nO9917XcxMkjYX3uLx7nnn3HOuMK2Nix4fP78ZdrYXVkLVWjf3l3B1B+HpcjzGFtmqa6cePz7/x0dnn1n5qhj3iBJPYREIURAJuCtpY8PjReDbrf9WG7H1fuefwQU9qKztTcMJT+PNnEFvjGVDBDlSsH6p/9MLzy6+NxwVqI8RAg4IPmWedMckdLYP6O6UpIaQfvyyXG012+e79/ZfHukoS1ISMT2hGTB1RkUmNgQ5QZ0w+a2VWDq73MbdEWmfnnv6UWe7oNzPaLapl5CwuLTXK9WUGBuCjqekzhP+z52ZXOrKMD3OJg0Hh778aiOuvpnYvp05d6GJO4iAO4QAe/eV36/X5LFRV4Zmn+AdkqlL8Vjp3oVioOz+WTPzzYEgsN+fgPLYyJVheSbPPVl2ikeGZRjtG52/8rHuaV9VOlpP2OtKyVndcRVCSqOhsvxa4vW359i6OuKdD+aP8Q4SYPdOzS/flGjt1JUSaMqZ5nwa1Y8qWb/Ud/eZZkHisYezEM0m+fcelDr8F1SqW2LNK6r1jXQwyLzy1hxvrLXZulry7ocL+FS6G4QIu3fG/Px1gdYeW7LIgXU2P/115TOA5G7e3Rmj2aS/m7l5pThiZzrCcE/d1XHzbln373nw7y6veeoUm5KCNKT/IPPwbiY1hYd/l5MIT65BMFt87sU4v9D7/JMflr44uV6hGh1+L4RCkg6z5iK2tAhNLeLsNGwYA4fDYnC/drvuuFxe86NV/x+Ut27g0FvykgAAAABJRU5ErkJggg==",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "262811e1-fb9a-43c6-a3e6-05862724c611",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.440'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "262811e1-fb9a-43c6-a3e6-05862724c611",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.249'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "262811e1-fb9a-43c6-a3e6-05862724c611",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.222'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "262811e1-fb9a-43c6-a3e6-05862724c611",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.445'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "262811e1-fb9a-43c6-a3e6-05862724c611",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.300'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "Content Safety
(Text Analyze)", "type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"0.0.216", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "hello_world.py", "type": "python",
"inputs": {"name": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "hello_world.py", "function":
"hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/batch_run_name/flowRuns/batch_run_name",
"flowRunId": "batch_run_name", "flowRunDisplayName": "sdk-cli-test-fixture-batch-run-without-llm",
"batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/batch_run_name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "262811e1-fb9a-43c6-a3e6-05862724c611",
"studioPortalEndpoint": "https://ml.azure.com/runs/batch_run_name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '12912'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.499'
status:
code: 200
message: OK
- request:
body: '{"runId": "batch_run_name", "selectRunMetadata": true, "selectRunDefinition":
true, "selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705046394, "rootRunId": "batch_run_name",
"createdUtc": "2024-01-12T07:59:54.1576182+00:00", "createdBy": {"userObjectId":
"00000000-0000-0000-0000-000000000000", "userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 6,
"statusRevision": 3, "runUuid": "cb61d4de-3596-45d6-ba16-0faaff6c510c", "parentRunUuid":
null, "rootRunUuid": "cb61d4de-3596-45d6-ba16-0faaff6c510c", "lastStartTimeUtc":
null, "currentComputeTime": null, "computeDuration": "00:00:03.7070353", "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "18a66f5f-dbdf-4c17-9dd7-1634712a9cbe",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:00:14.0134009+00:00", "duration":
"00:00:03.7070353", "cancelationReason": null, "currentAttemptId": 1, "runId":
"batch_run_name", "parentRunId": null, "experimentId": "b1e733a1-2a5f-4c17-bc34-4d66d2858228",
"status": "Completed", "startTimeUtc": "2024-01-12T08:00:11.1015272+00:00",
"endTimeUtc": "2024-01-12T08:00:14.8085625+00:00", "scheduleId": null, "displayName":
"sdk-cli-test-fixture-batch-run-without-llm", "name": null, "dataContainerId":
"dcid.batch_run_name", "description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": "AmlcDsi"}, "properties": {"azureml.promptflow.runtime_name":
"test-runtime-ci", "azureml.promptflow.runtime_version": "20231204.v4", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "bee356189f7e7f18671a79369c78df4cfb1bbd0c99069074",
"azureml.promptflow.flow_lineage_id": "f7ee724d91e4f4a7501bdc0b66995bc8b57f86b3a526fa2a81c34ebcccbbd912",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/36774154bc3ecde4aa21054b3052221f/hello-world/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl",
"azureml.promptflow.inputs_mapping": "{\"name\":\"${data.url}\"}", "_azureml.evaluation_run":
"promptflow.BatchRun", "azureml.promptflow.snapshot_id": "262811e1-fb9a-43c6-a3e6-05862724c611",
"azureml.promptflow.total_tokens": "0", "_azureml.evaluate_artifacts": "[{\"path\":
\"instance_results.jsonl\", \"type\": \"table\"}]"}, "parameters": {}, "actionUris":
{}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets": [],
"tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
"azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '4649'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.036'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/batch_run_name/logContent
response:
body:
string: '"2024-01-12 07:59:58 +0000 49 promptflow-runtime INFO [batch_run_name]
Receiving v2 bulk run request 0583d2e8-cf03-466f-bd27-6b8f3c2dcd4e: {\"flow_id\":
\"batch_run_name\", \"flow_run_id\": \"batch_run_name\", \"flow_source\":
{\"flow_source_type\": 1, \"flow_source_info\": {\"snapshot_id\": \"262811e1-fb9a-43c6-a3e6-05862724c611\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.batch_run_name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A49%3A53Z&ske=2024-01-13T15%3A59%3A53Z&sks=b&skv=2019-07-07&st=2024-01-12T07%3A49%3A57Z&se=2024-01-12T15%3A59%3A57Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/74c11bba717480b2d6b04b8e746d09d7/webClassification3.jsonl\"},
\"inputs_mapping\": {\"name\": \"${data.url}\"}, \"azure_storage_setting\":
{\"azure_storage_mode\": 1, \"storage_account_name\": \"promptfloweast4063704120\",
\"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/batch_run_name\",
\"blob_container_sas_token\": \"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-12T07%3A59%3A58Z&ske=2024-01-19T07%3A59%3A58Z&sks=b&skv=2019-07-07&se=2024-01-19T07%3A59%3A58Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-12 07:59:58 +0000 49
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 07:59:58 +0000 49 promptflow-runtime INFO Updating
batch_run_name to Status.Preparing...\n2024-01-12 07:59:58 +0000 49 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/39649/requests/batch_run_name\n2024-01-12
07:59:58 +0000 49 promptflow-runtime INFO Get snapshot sas url for
262811e1-fb9a-43c6-a3e6-05862724c611...\n2024-01-12 08:00:05 +0000 49
promptflow-runtime INFO Downloading snapshot 262811e1-fb9a-43c6-a3e6-05862724c611
from uri https://promptfloweast4063704120.blob.core.windows.net/snapshotzips/promptflow-eastus:3e123da1-f9a5-4c91-9234-8d9ffbb39ff5:snapshotzip/262811e1-fb9a-43c6-a3e6-05862724c611.zip...\n2024-01-12
08:00:05 +0000 49 promptflow-runtime INFO Downloaded file /mnt/host/service/app/39649/requests/batch_run_name/262811e1-fb9a-43c6-a3e6-05862724c611.zip
with size 495 for snapshot 262811e1-fb9a-43c6-a3e6-05862724c611.\n2024-01-12
08:00:05 +0000 49 promptflow-runtime INFO Download snapshot 262811e1-fb9a-43c6-a3e6-05862724c611
completed.\n2024-01-12 08:00:05 +0000 49 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/39649/requests/batch_run_name\n2024-01-12
08:00:05 +0000 49 promptflow-runtime INFO About to execute a python
flow.\n2024-01-12 08:00:05 +0000 49 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-12 08:00:05 +0000 49 promptflow-runtime
INFO Starting to check process 3326 status for run batch_run_name\n2024-01-12
08:00:05 +0000 49 promptflow-runtime INFO Start checking run status
for run batch_run_name\n2024-01-12 08:00:09 +0000 3326 promptflow-runtime
INFO [49--3326] Start processing flowV2......\n2024-01-12 08:00:09 +0000 3326
promptflow-runtime INFO Runtime version: 20231204.v4. PromptFlow version:
1.2.0rc1\n2024-01-12 08:00:09 +0000 3326 promptflow-runtime INFO Setting
mlflow tracking uri...\n2024-01-12 08:00:09 +0000 3326 promptflow-runtime
INFO Validating ''AzureML Data Scientist'' user authentication...\n2024-01-12
08:00:09 +0000 3326 promptflow-runtime INFO Successfully validated
''AzureML Data Scientist'' user authentication.\n2024-01-12 08:00:09 +0000 3326
promptflow-runtime INFO Using AzureMLRunStorageV2\n2024-01-12 08:00:09
+0000 3326 promptflow-runtime INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:00:09 +0000 3326 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-12 08:00:10 +0000 3326 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-12
08:00:10 +0000 3326 promptflow-runtime INFO Resolve data from url finished
in 0.478999188169837 seconds\n2024-01-12 08:00:10 +0000 3326 promptflow-runtime
INFO Starting the aml run ''batch_run_name''...\n2024-01-12 08:00:11 +0000 3326
execution.bulk INFO Using fork, process count: 3\n2024-01-12 08:00:11
+0000 3369 execution.bulk INFO Process 3369 started.\n2024-01-12
08:00:11 +0000 3373 execution.bulk INFO Process 3373 started.\n2024-01-12
08:00:11 +0000 3378 execution.bulk INFO Process 3378 started.\n2024-01-12
08:00:11 +0000 3326 execution.bulk INFO Process name: ForkProcess-42:2,
Process id: 3369, Line number: 0 start execution.\n2024-01-12 08:00:11 +0000 3326
execution.bulk INFO Process name: ForkProcess-42:4, Process id: 3373,
Line number: 1 start execution.\n2024-01-12 08:00:11 +0000 3326 execution.bulk INFO Process
name: ForkProcess-42:3, Process id: 3378, Line number: 2 start execution.\n2024-01-12
08:00:11 +0000 3326 execution.bulk INFO Process name: ForkProcess-42:2,
Process id: 3369, Line number: 0 completed.\n2024-01-12 08:00:11 +0000 3326
execution.bulk INFO Finished 1 / 3 lines.\n2024-01-12 08:00:11 +0000 3326
execution.bulk INFO Average execution time for completed lines: 0.24
seconds. Estimated time for incomplete lines: 0.48 seconds.\n2024-01-12 08:00:11
+0000 3326 execution.bulk INFO Process name: ForkProcess-42:3,
Process id: 3378, Line number: 2 completed.\n2024-01-12 08:00:11 +0000 3326
execution.bulk INFO Process name: ForkProcess-42:4, Process id: 3373,
Line number: 1 completed.\n2024-01-12 08:00:11 +0000 3326 execution.bulk INFO Finished
3 / 3 lines.\n2024-01-12 08:00:11 +0000 3326 execution.bulk INFO Finished
3 / 3 lines.\n2024-01-12 08:00:11 +0000 3326 execution.bulk INFO Average
execution time for completed lines: 0.1 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:00:11 +0000 3326 execution.bulk INFO Average
execution time for completed lines: 0.1 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-12 08:00:13 +0000 3326 execution.bulk INFO Upload
status summary metrics for run batch_run_name finished in 1.2024374650791287
seconds\n2024-01-12 08:00:14 +0000 3326 promptflow-runtime INFO Successfully
write run properties {\"azureml.promptflow.total_tokens\": 0, \"_azureml.evaluate_artifacts\":
\"[{\\\"path\\\": \\\"instance_results.jsonl\\\", \\\"type\\\": \\\"table\\\"}]\"}
with run id ''batch_run_name''\n2024-01-12 08:00:14 +0000 3326 execution.bulk INFO Upload
RH properties for run batch_run_name finished in 0.0886351577937603 seconds\n2024-01-12
08:00:14 +0000 3326 promptflow-runtime INFO Creating unregistered output
Asset for Run batch_run_name...\n2024-01-12 08:00:14 +0000 3326 promptflow-runtime
INFO Created debug_info Asset: azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_debug_info/versions/1\n2024-01-12
08:00:14 +0000 3326 promptflow-runtime INFO Creating unregistered output
Asset for Run batch_run_name...\n2024-01-12 08:00:14 +0000 3326 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_batch_run_name_output_data_flow_outputs/versions/1\n2024-01-12
08:00:14 +0000 3326 promptflow-runtime INFO Creating Artifact for Run
batch_run_name...\n2024-01-12 08:00:14 +0000 3326 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-12 08:00:14 +0000 3326 promptflow-runtime
INFO Patching batch_run_name...\n2024-01-12 08:00:14 +0000 3326 promptflow-runtime
INFO Ending the aml run ''batch_run_name'' with status ''Completed''...\n2024-01-12
08:00:19 +0000 49 promptflow-runtime INFO Process 3326 finished\n2024-01-12
08:00:19 +0000 49 promptflow-runtime INFO [49] Child process finished!\n2024-01-12
08:00:19 +0000 49 promptflow-runtime INFO [batch_run_name] End processing
bulk run\n2024-01-12 08:00:19 +0000 49 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/39649/requests/batch_run_name for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '9812'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.542'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_not_exist.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.032'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.104'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_get_connection.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/api-version=2023-08-01-preview
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.023'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?api-version=2023-04-01-preview&count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.058'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/Connections/azure_open_ai_connection
response:
body:
string: '{"connectionName": "azure_open_ai_connection", "connectionType": "AzureOpenAI",
"configs": {"api_base": "https://fake.openai.azure.com", "api_key": null,
"api_type": "azure", "api_version": "2023-07-01-preview", "resource_id": null},
"owner": {"userName": "[email protected]"}, "createdDate": "2023-08-22T10:15:34.5762053Z",
"lastModifiedDate": "2023-08-22T10:15:34.5762053Z"}'
headers:
connection:
- keep-alive
content-length:
- '366'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.382'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/Connections/custom_connection
response:
body:
string: '{"connectionName": "custom_connection", "connectionType": "Custom",
"owner": {"userName": "[email protected]"}, "createdDate": "2023-06-19T20:56:12.0353964Z",
"lastModifiedDate": "2023-06-19T20:56:12.0353964Z"}'
headers:
connection:
- keep-alive
content-length:
- '204'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '0.367'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_with_connection_overwrite.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.019'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.099'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.087'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.136'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:22:35 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification1.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '127'
content-md5:
- i/8q1x5YKzHv3Fd/R8lYUQ==
content-type:
- application/octet-stream
last-modified:
- Fri, 28 Jul 2023 12:34:52 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 28 Jul 2023 12:34:52 GMT
x-ms-meta-name:
- 13fa99dd-c98e-4f2a-a704-4295d4ed6f68
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 0367c5c6-9f53-4a75-8623-7e53699f0d0b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:22:36 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification1.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.083'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.107'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:22:40 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '853'
content-md5:
- ylTeNqjvuOvtzEZJ/X5n3A==
content-type:
- application/octet-stream
last-modified:
- Fri, 12 Jan 2024 08:13:57 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 12 Jan 2024 08:13:56 GMT
x-ms-meta-name:
- 950201e8-c52c-4b15-ada1-5e58de9b2f4d
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:22:41 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/web_classification/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "nodeVariant":
"${summarize_text_content.variant_0}", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification1.jsonl"},
"inputsMapping": {"url": "${data.url}"}, "connections": {"classify_with_llm":
{"connection": "azure_open_ai", "model": "gpt-3.5-turbo"}}, "environmentVariables":
{}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '951'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.277'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
"python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
"inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
"reduce": false}, {"name": "prepare_examples", "type": "python", "source":
{"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
"reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
"code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
"gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
"1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
"frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
"examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}",
"model": "gpt-3.5-turbo"}, "tool": "classify_with_llm.jinja2", "reduce": false,
"api": "chat", "provider": "AzureOpenAI", "connection": "azure_open_ai", "module":
"promptflow.tools.aoai"}, {"name": "convert_to_dict", "type": "python", "source":
{"type": "code", "path": "convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
"tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
"type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
"inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
"128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
"stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
"1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
"summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
"tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
{"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "hate_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"description": "Use Azure Content Safety to detect harmful content.", "module":
"promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
"prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text_content":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
"type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
"function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
"source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
"type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
"is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
"${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name", "flowRunId":
"name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/107bd3498e44deb2dccc53d2208d32b2/webClassification1.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "a356b061-8870-40da-9061-3920ac5171cf",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '16252'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.355'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705047766, "rootRunId": "name", "createdUtc":
"2024-01-12T08:22:46.9110681+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "6d870fe2-b2a7-4273-97c9-1f054cd88ab3", "parentRunUuid":
null, "rootRunUuid": "6d870fe2-b2a7-4273-97c9-1f054cd88ab3", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:22:50.8542458+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "d30efbeb-f81d-4cfa-b5cc-a0570a049009", "status": "Preparing",
"startTimeUtc": null, "endTimeUtc": null, "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "4dd8f4d5f44dfeb817d3438cf84bd739215d87afd9458597",
"azureml.promptflow.flow_lineage_id": "af1a6951de9be2ce13d3b58b23dbd8b6a0cd8fd4918ad9cb22b28fb8395fbcb0",
"azureml.promptflow.node_variant": "${summarize_text_content.variant_0}",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/a1fa6ef1ead7ff3ce76b36250f6f5461/web_classification/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/107bd3498e44deb2dccc53d2208d32b2/webClassification1.jsonl",
"azureml.promptflow.inputs_mapping": "{\"url\":\"${data.url}\"}", "_azureml.evaluation_run":
"promptflow.BatchRun", "azureml.promptflow.snapshot_id": "a356b061-8870-40da-9061-3920ac5171cf"},
"parameters": {}, "actionUris": {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets":
[], "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '4011'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.056'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_with_registry_flow.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.037'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.085'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.078'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.089'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:21:52 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/simple_hello_world.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '22'
content-md5:
- SaVvJK8fXJzgPgQkmSaCGA==
content-type:
- application/octet-stream
last-modified:
- Thu, 23 Nov 2023 12:11:21 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 23 Nov 2023 12:11:20 GMT
x-ms-meta-name:
- 74c8f1fa-9e14-4249-8fec-279efedeb400
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 2266d840-3ecd-4a91-9e63-8d57e7b0a62e
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:21:53 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/simple_hello_world.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionResourceId": "azureml://registries/promptflow-preview/models/simple_hello_world/versions/202311241",
"runId": "name", "runDisplayName": "name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/simple_hello_world.jsonl"},
"inputsMapping": {"name": "${data.name}"}, "connections": {}, "environmentVariables":
{}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '658'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.218'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "hello_world", "type": "python",
"source": {"type": "code", "path": "hello_world.py"}, "inputs": {"name": "${inputs.name}"},
"tool": "hello_world.py", "reduce": false}], "tools": [{"name": "hello_world.py",
"type": "python", "inputs": {"name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "hello_world.py",
"function": "hello_world", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"name": {"type": "string", "default": "hod", "is_chat_input":
false}}, "outputs": {"result": {"type": "string", "reference": "${hello_world.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name", "flowRunId":
"name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/79f088fae0e502653c43146c9682f425/simple_hello_world.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"name": "${data.name}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/name/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "2fc73c2b-511f-4059-8fc5-4fb6ce608f85",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1711'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.209'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705047718, "rootRunId": "name", "createdUtc":
"2024-01-12T08:21:58.5939458+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "4a452fe8-5f0e-48aa-a522-44b67e66a50e", "parentRunUuid":
null, "rootRunUuid": "4a452fe8-5f0e-48aa-a522-44b67e66a50e", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:22:02.0692705+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "8ed8abac-3b31-48a5-9fa1-81b7fe487f46", "status": "Preparing",
"startTimeUtc": null, "endTimeUtc": null, "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null,
"hidden": false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": "AmlcDsi"},
"properties": {"azureml.promptflow.runtime_name": "test-runtime-ci", "azureml.promptflow.runtime_version":
"20231204.v4", "azureml.promptflow.definition_file_name": "flow.dag.yaml",
"azureml.promptflow.session_id": "simple_hello_world", "azureml.promptflow.flow_lineage_id":
"simple_hello_world", "azureml.promptflow.flow_definition_resource_id": "azureml://registries/promptflow-preview/models/simple_hello_world/versions/202311241",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/79f088fae0e502653c43146c9682f425/simple_hello_world.jsonl",
"azureml.promptflow.inputs_mapping": "{\"name\":\"${data.name}\"}", "_azureml.evaluation_run":
"promptflow.BatchRun", "azureml.promptflow.snapshot_id": "2fc73c2b-511f-4059-8fc5-4fb6ce608f85"},
"parameters": {}, "actionUris": {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets":
[], "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '3785'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.042'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_azure_cli_perf_TestAzureCliPerf_test_run_restore.yaml | interactions:
- request:
body: '{"hidden": false}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '17'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: PATCH
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/runs/test_run/modify
response:
body:
string: '{"runNumber": 1705290707, "rootRunId": "test_run", "createdUtc": "2024-01-15T03:51:47.7832069+00:00",
"createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000", "userPuId":
"10032001A114F500", "userIdp": null, "userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "Chenyang
Zhang", "upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token":
null, "tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision":
7, "statusRevision": 3, "runUuid": "115295b6-152f-44b3-a79f-2188901c76fd",
"parentRunUuid": null, "rootRunUuid": "115295b6-152f-44b3-a79f-2188901c76fd",
"lastStartTimeUtc": null, "currentComputeTime": null, "computeDuration": "00:00:03.3854385",
"effectiveStartTimeUtc": null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": "10032001A114F500", "userIdp": null, "userAltSecId": null, "userIss":
"https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "Chenyang Zhang", "upn":
"[email protected]"}, "lastModifiedUtc": "2024-01-15T04:05:23.0077908+00:00",
"duration": "00:00:03.3854385", "cancelationReason": null, "currentAttemptId":
1, "runId": "test_run", "parentRunId": null, "experimentId": "00000000-0000-0000-0000-000000000000",
"status": "Completed", "startTimeUtc": "2024-01-15T03:51:57.3800585+00:00",
"endTimeUtc": "2024-01-15T03:52:00.765497+00:00", "scheduleId": null, "displayName":
"test_run", "name": null, "dataContainerId": "dcid.test_run", "description":
"test_description", "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": null}, "properties": {"azureml.promptflow.runtime_name": "automatic",
"azureml.promptflow.runtime_version": "20240111.v2", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "96c35660d759b526cb14cf69bbb56fcaa90c05a778b147b4",
"azureml.promptflow.flow_lineage_id": "fcb01d4faf8f2137f9d142cc1f3f22ecdf3d485e1435c4c971ff0ee09077f1b5",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/52675845d616ad8b41db77e9ba9e9d4a/print_input_flow/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/80d5ca5a93c8c6ea7c2fcdf1cd4b9d07/print_input_flow.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"a18c2edd-59e6-4b07-a264-b0a97a213218", "azureml.promptflow.total_tokens":
"0", "_azureml.evaluate_artifacts": "[{\"path\": \"instance_results.jsonl\",
\"type\": \"table\"}]"}, "parameters": {}, "actionUris": {}, "scriptName":
null, "target": null, "uniqueChildRunComputeTargets": [], "tags": {"key1":
"value1"}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}'
headers:
connection:
- keep-alive
content-length:
- '3593'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.016'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.9.17 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/test_run
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_input", "type": "python",
"source": {"type": "code", "path": "print_input.py"}, "inputs": {"text": "${inputs.text}"},
"tool": "print_input.py", "reduce": false}], "tools": [{"name": "Azure OpenAI
GPT-4 Turbo with Vision", "type": "custom_llm", "inputs": {"connection": {"type":
["AzureOpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "frequency_penalty":
{"type": ["double"], "default": 0, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "max_tokens": {"type": ["int"], "default":
512, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Azure OpenAI GPT-4 Turbo
with Vision to leverage AOAI vision ability.", "module": "promptflow.tools.aoai_gpt4v",
"class_name": "AzureOpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.0.3",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
"type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"1.0.3", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "1.0.3", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "default": "", "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_deployment_names",
"func_kwargs": [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
"type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
"input_type": "default"}, "endpoint_name": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"}, "allow_manual_entry":
true, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an open model from the Azure Model catalog, deployed to
an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.0.3",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": 512, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.0.3",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
{"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "engine": {"type": ["string"], "default":
"google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "location": {"type": ["string"], "default":
"", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Serp API to obtain search results from a specific search engine.", "module":
"promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.0.3",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
"type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
"embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
"func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
"${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
"func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
"${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
"func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
"func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
"type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
"${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
"optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
{"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
"type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
"acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
"type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
"${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
"optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
{"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
"type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
"${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
"optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
"${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
"optional": true, "reference": "${inputs.pinecone_content_field}", "type":
["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
"${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
"optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
{"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
"type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
{"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
"type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
"${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
"default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
"enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
{"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
{"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
"func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
"${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
"func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
"${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search an AzureML Vector Index for relevant results using one or more text
queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
"search", "is_builtin": true, "package": "promptflow-vectordb", "package_version":
"0.0.1", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_input.py", "type": "python",
"inputs": {"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_input.py", "function":
"print_inputs", "is_builtin": false, "enable_kwargs": false, "tool_state":
"stable"}], "inputs": {"text": {"type": "string", "is_chat_input": false}},
"outputs": {"output_text": {"type": "string", "reference": "${print_input.output}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus2euap/workspaces/00000/flows/test_run/flowRuns/test_run",
"flowRunId": "test_run", "flowRunDisplayName": "test_run", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/80d5ca5a93c8c6ea7c2fcdf1cd4b9d07/print_input_flow.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/test_run/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "a18c2edd-59e6-4b07-a264-b0a97a213218",
"studioPortalEndpoint": "https://ml.azure.com/runs/test_run?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '25970'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.314'
status:
code: 200
message: OK
- request:
body: '{"runId": "test_run", "selectRunMetadata": true, "selectRunDefinition":
true, "selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '109'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705290707, "rootRunId": "test_run",
"createdUtc": "2024-01-15T03:51:47.7832069+00:00", "createdBy": {"userObjectId":
"00000000-0000-0000-0000-000000000000", "userPuId": "10032001A114F500", "userIdp":
null, "userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "Chenyang
Zhang", "upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token":
null, "tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision":
7, "statusRevision": 3, "runUuid": "115295b6-152f-44b3-a79f-2188901c76fd",
"parentRunUuid": null, "rootRunUuid": "115295b6-152f-44b3-a79f-2188901c76fd",
"lastStartTimeUtc": null, "currentComputeTime": null, "computeDuration": "00:00:03.3854385",
"effectiveStartTimeUtc": null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": "10032001A114F500", "userIdp": null, "userAltSecId": null, "userIss":
"https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "Chenyang Zhang", "upn":
"[email protected]"}, "lastModifiedUtc": "2024-01-15T04:04:54.041594+00:00",
"duration": "00:00:03.3854385", "cancelationReason": null, "currentAttemptId":
1, "runId": "test_run", "parentRunId": null, "experimentId": "4d67b7d7-dc1c-4699-a53e-318ca24f1f72",
"status": "Completed", "startTimeUtc": "2024-01-15T03:51:57.3800585+00:00",
"endTimeUtc": "2024-01-15T03:52:00.765497+00:00", "scheduleId": null, "displayName":
"test_run", "name": null, "dataContainerId": "dcid.test_run", "description":
"test_description", "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": null}, "properties": {"azureml.promptflow.runtime_name": "automatic",
"azureml.promptflow.runtime_version": "20240111.v2", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "96c35660d759b526cb14cf69bbb56fcaa90c05a778b147b4",
"azureml.promptflow.flow_lineage_id": "fcb01d4faf8f2137f9d142cc1f3f22ecdf3d485e1435c4c971ff0ee09077f1b5",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/52675845d616ad8b41db77e9ba9e9d4a/print_input_flow/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/80d5ca5a93c8c6ea7c2fcdf1cd4b9d07/print_input_flow.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"a18c2edd-59e6-4b07-a264-b0a97a213218", "azureml.promptflow.total_tokens":
"0", "_azureml.evaluate_artifacts": "[{\"path\": \"instance_results.jsonl\",
\"type\": \"table\"}]"}, "parameters": {}, "actionUris": {}, "scriptName":
null, "target": null, "uniqueChildRunComputeTargets": [], "tags": {"key1":
"value1"}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
"azureml://locations/eastus2euap/workspaces/00000/data/azureml_test_run_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus2euap/workspaces/00000/data/azureml_test_run_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '4332'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.022'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_connection_operations_TestConnectionOperations_test_connection_get_create_delete.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/api-version=2023-08-01-preview
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.026'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?api-version=2023-04-01-preview&count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.058'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_download.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.031'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.066'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.075'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.125'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:16:18 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/simple_eager_flow_data.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '25'
content-md5:
- zt1zN1V/HR5p7N0Sh5396w==
content-type:
- application/octet-stream
last-modified:
- Tue, 23 Jan 2024 06:27:00 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 23 Jan 2024 06:26:59 GMT
x-ms-meta-name:
- 1e376ce4-7c3b-4683-82ad-412f5cd23626
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 7e65351c-7e4b-4a4d-90f8-304eacdc36bc
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:16:21 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/simple_eager_flow_data.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.108'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.088'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:16:25 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/simple_with_req/entry.py
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '331'
content-md5:
- bf0G3F/eNgZO8UPfGebSUQ==
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 08:57:55 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 25 Jan 2024 08:57:54 GMT
x-ms-meta-name:
- c42d946f-2978-4455-8a89-b768c66a9277
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:16:28 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/simple_with_req/entry.py
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/simple_with_req/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/simple_eager_flow_data.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {}, "runtimeName":
"fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '791'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.330'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "1ac134f8-0696-4ce1-ba89-cd4d9748e886",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.273'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "1ac134f8-0696-4ce1-ba89-cd4d9748e886",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.372'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "1ac134f8-0696-4ce1-ba89-cd4d9748e886",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.420'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "1ac134f8-0696-4ce1-ba89-cd4d9748e886",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.469'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "1ac134f8-0696-4ce1-ba89-cd4d9748e886",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.173'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "1ac134f8-0696-4ce1-ba89-cd4d9748e886",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.214'
status:
code: 200
message: OK
- request:
body: '{}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '2'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/metric/v2.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/runs/name/lastvalues
response:
body:
string: '{"value": [{"dataContainerId": "dcid.name", "name": "__pf__.lines.completed",
"columns": {"__pf__.lines.completed": "Double"}, "properties": {"uxMetricType":
"azureml.v1.scalar", "dataLocation": null}, "namespace": null, "standardSchemaId":
null, "value": [{"metricId": "acecc185-aa1e-4e95-b342-d391d260bc46", "createdUtc":
"2024-01-25T09:17:00.198+00:00", "step": 0, "data": {"__pf__.lines.completed":
1.0}}]}, {"dataContainerId": "dcid.name", "name": "__pf__.lines.failed", "columns":
{"__pf__.lines.failed": "Double"}, "properties": {"uxMetricType": "azureml.v1.scalar",
"dataLocation": null}, "namespace": null, "standardSchemaId": null, "value":
[{"metricId": "aeeb8ed5-aca3-475d-a76d-a58ecc12ad99", "createdUtc": "2024-01-25T09:17:00.563+00:00",
"step": 0, "data": {"__pf__.lines.failed": 0.0}}]}]}'
headers:
connection:
- keep-alive
content-length:
- '1240'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.066'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "1ac134f8-0696-4ce1-ba89-cd4d9748e886",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.292'
status:
code: 200
message: OK
- request:
body: '{"value": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1"}'
headers:
accept:
- '*/*'
accept-encoding:
- gzip, deflate
connection:
- keep-alive
content-length:
- '171'
content-type:
- application/json
host:
- eastus.api.azureml.ms
user-agent:
- python-httpx/0.26.0
method: POST
uri: https://eastus.api.azureml.ms/data/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/dataversion/getByAssetId
response:
content: '{"dataVersion": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
"dataContainerName": "azureml_name_output_data_debug_info", "dataType": "UriFolder",
"dataUri": "azureml://subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/workspaces/00000/datastores/workspaceblobstore/paths/promptflow/PromptFlowArtifacts/name/",
"versionId": "1", "mutableProps": {"dataExpiryTime": null, "description": null,
"tags": null, "isArchived": false, "stage": "Logged", "autoDeleteSetting": null},
"referencedDataUris": null, "properties": null, "initialAssetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
"isRegistered": false, "runId": "name", "originAssetId": null}, "entityMetadata":
{"etag": "\"87008635-0000-0100-0000-65b2270d0000\"", "createdTime": "2024-01-25T09:17:01.3632335+00:00",
"modifiedTime": "2024-01-25T09:17:01.3970754+00:00", "createdBy": {"userObjectId":
"00000000-0000-0000-0000-000000000000", "userPuId": "100320005227D154", "userIdp":
null, "userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "Han Wang",
"upn": "[email protected]"}, "modifiedBy": null}, "legacyDatasetId": "c78cba45-2c03-4f27-8f6d-7a0f7fcaa3fc",
"isV2": true, "legacyDatasetType": null, "legacyDataflowType": null, "legacyDataflow":
null, "legacySavedDatasetId": null, "putAssetLROResponseDto": null}'
headers:
connection:
- keep-alive
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.064'
http_version: HTTP/1.1
status_code: 200
- request:
body: '{"snapshotOrAssetId": "1ac134f8-0696-4ce1-ba89-cd4d9748e886"}'
headers:
accept:
- '*/*'
accept-encoding:
- gzip, deflate
connection:
- keep-alive
content-length:
- '61'
content-type:
- application/json
host:
- eastus.api.azureml.ms
user-agent:
- python-httpx/0.26.0
method: POST
uri: https://eastus.api.azureml.ms/content/v2.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/snapshots/sas
response:
content: '{"name": "", "hash": null, "type": "Directory", "timestamp": "0001-01-01T00:00:00+00:00",
"sasUrl": null, "absoluteUrl": null, "sizeBytes": 0, "sizeSet": false, "children":
{"entry.py": {"name": "entry.py", "hash": "6DFD06DC5FDE36064EF143DF19E6D251",
"type": "File", "timestamp": "0001-01-01T00:00:00+00:00", "sasUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/entry.py?sv=2019-07-07&sr=b&sig=uNX4%2F%2BOW1NSRGOeyt5nunbdGqVOmeV84SX9FrinPAaU%3D&st=2024-01-25T09%3A08%3A38Z&se=2024-01-25T17%3A18%3A38Z&sp=r&rscd=filename%3Dentry.py",
"absoluteUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/entry.py",
"sizeBytes": 331, "sizeSet": true, "children": {}}, "flow.dag.yaml": {"name":
"flow.dag.yaml", "hash": "E9583EF05B4434346632808F5714E8B0", "type": "File",
"timestamp": "0001-01-01T00:00:00+00:00", "sasUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/flow.dag.yaml?sv=2019-07-07&sr=b&sig=3plGLhXfe%2Fudi%2Fm0Z7%2FSz7Cte1sDfk8cDwBsYGfvMrQ%3D&st=2024-01-25T09%3A08%3A38Z&se=2024-01-25T17%3A18%3A38Z&sp=r&rscd=filename%3Dflow.dag.yaml",
"absoluteUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/flow.dag.yaml",
"sizeBytes": 93, "sizeSet": true, "children": {}}, "requirements.txt": {"name":
"requirements.txt", "hash": "93AEF5DCE3D6FE02C4425D72C0E1DABD", "type": "File",
"timestamp": "0001-01-01T00:00:00+00:00", "sasUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/requirements.txt?sv=2019-07-07&sr=b&sig=KJrkxjj4vFvaXoSEzbexwXAJIkisbxTIgI8M1l0%2FWlY%3D&st=2024-01-25T09%3A08%3A38Z&se=2024-01-25T17%3A18%3A38Z&sp=r&rscd=filename%3Drequirements.txt",
"absoluteUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/requirements.txt",
"sizeBytes": 109, "sizeSet": true, "children": {}}}}'
headers:
connection:
- keep-alive
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.142'
http_version: HTTP/1.1
status_code: 200
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:18:43 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/runs/name/requirements.txt
response:
body:
string: "--extra-index-url https://azuremlsdktestpypi.azureedge.net/test-promptflow/\r\npromptflow[azure]==0.0.116642424"
headers:
accept-ranges:
- bytes
content-length:
- '109'
content-range:
- bytes 0-108/109
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 09:16:44 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- k6713OPW/gLEQl1ywOHavQ==
x-ms-blob-type:
- BlockBlob
x-ms-copy-completion-time:
- Thu, 25 Jan 2024 09:16:44 GMT
x-ms-copy-id:
- bcd3c079-6acb-4b8d-9af6-b23b87ffca84
x-ms-copy-progress:
- 109/109
x-ms-copy-source:
- https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/LocalUpload/79819672296a1785a95c65c8c0e75b0d/simple_with_req/requirements.txt
x-ms-copy-status:
- success
x-ms-creation-time:
- Thu, 25 Jan 2024 09:16:44 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:18:42 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/runs/name/entry.py
response:
body:
string: "# ---------------------------------------------------------\r\n# Copyright
(c) Microsoft Corporation. All rights reserved.\r\n# ---------------------------------------------------------\r\n\r\ndef
my_flow(input_val) -> str:\r\n \"\"\"Simple flow with yaml.\"\"\"\r\n print(f\"Hello
world! {input_val}\")\r\n return f\"Hello world! {input_val}\"\r\n"
headers:
accept-ranges:
- bytes
content-length:
- '331'
content-range:
- bytes 0-330/331
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 09:16:44 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- bf0G3F/eNgZO8UPfGebSUQ==
x-ms-blob-type:
- BlockBlob
x-ms-copy-completion-time:
- Thu, 25 Jan 2024 09:16:44 GMT
x-ms-copy-id:
- 5b6fc216-f239-42fa-a163-c92db62cb949
x-ms-copy-progress:
- 331/331
x-ms-copy-source:
- https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/LocalUpload/79819672296a1785a95c65c8c0e75b0d/simple_with_req/entry.py
x-ms-copy-status:
- success
x-ms-creation-time:
- Thu, 25 Jan 2024 09:16:44 GMT
x-ms-meta-name:
- c42d946f-2978-4455-8a89-b768c66a9277
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:18:38 GMT
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name?comp=list&prefix=promptflow%2FPromptFlowArtifacts%2Fname%2F&restype=container
response:
body:
string: "\uFEFF<?xml version=\"1.0\" encoding=\"utf-8\"?><EnumerationResults
ServiceEndpoint=\"https://promptfloweast4063704120.blob.core.windows.net/\"
ContainerName=\"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\"><Prefix>promptflow/PromptFlowArtifacts/name/</Prefix><Blobs><Blob><Name>promptflow/PromptFlowArtifacts/name/flow_artifacts/000000000_000000024.jsonl</Name><Properties><Creation-Time>Thu,
25 Jan 2024 09:16:58 GMT</Creation-Time><Last-Modified>Thu, 25 Jan 2024 09:16:58
GMT</Last-Modified><Etag>0x8DC1D8661A992B8</Etag><Content-Length>1132</Content-Length><Content-Type>application/octet-stream</Content-Type><Content-Encoding
/><Content-Language /><Content-CRC64 /><Content-MD5 /><Cache-Control /><Content-Disposition
/><BlobType>AppendBlob</BlobType><LeaseStatus>unlocked</LeaseStatus><LeaseState>available</LeaseState><ServerEncrypted>true</ServerEncrypted></Properties><OrMetadata
/></Blob><Blob><Name>promptflow/PromptFlowArtifacts/name/flow_outputs/output.jsonl</Name><Properties><Creation-Time>Thu,
25 Jan 2024 09:17:01 GMT</Creation-Time><Last-Modified>Thu, 25 Jan 2024 09:17:01
GMT</Last-Modified><Etag>0x8DC1D8663B60064</Etag><Content-Length>52</Content-Length><Content-Type>application/octet-stream</Content-Type><Content-Encoding
/><Content-Language /><Content-CRC64 /><Content-MD5>e7CC/hOg8uoJ3TK2HaKeZA==</Content-MD5><Cache-Control
/><Content-Disposition /><BlobType>BlockBlob</BlobType><AccessTier>Hot</AccessTier><AccessTierInferred>true</AccessTierInferred><LeaseStatus>unlocked</LeaseStatus><LeaseState>available</LeaseState><ServerEncrypted>true</ServerEncrypted></Properties><OrMetadata
/></Blob><Blob><Name>promptflow/PromptFlowArtifacts/name/instance_results.jsonl</Name><Properties><Creation-Time>Thu,
25 Jan 2024 09:16:58 GMT</Creation-Time><Last-Modified>Thu, 25 Jan 2024 09:16:58
GMT</Last-Modified><Etag>0x8DC1D8661AE6F40</Etag><Content-Length>105</Content-Length><Content-Type>application/octet-stream</Content-Type><Content-Encoding
/><Content-Language /><Content-CRC64 /><Content-MD5 /><Cache-Control /><Content-Disposition
/><BlobType>AppendBlob</BlobType><LeaseStatus>unlocked</LeaseStatus><LeaseState>available</LeaseState><ServerEncrypted>true</ServerEncrypted></Properties><OrMetadata
/></Blob><Blob><Name>promptflow/PromptFlowArtifacts/name/meta.json</Name><Properties><Creation-Time>Thu,
25 Jan 2024 09:16:52 GMT</Creation-Time><Last-Modified>Thu, 25 Jan 2024 09:16:52
GMT</Last-Modified><Etag>0x8DC1D865E80BFF2</Etag><Content-Length>18</Content-Length><Content-Type>application/octet-stream</Content-Type><Content-Encoding
/><Content-Language /><Content-CRC64 /><Content-MD5>/u1NXUpgXMFDmZEw835qnw==</Content-MD5><Cache-Control
/><Content-Disposition /><BlobType>BlockBlob</BlobType><AccessTier>Hot</AccessTier><AccessTierInferred>true</AccessTierInferred><LeaseStatus>unlocked</LeaseStatus><LeaseState>available</LeaseState><ServerEncrypted>true</ServerEncrypted></Properties><OrMetadata
/></Blob></Blobs><NextMarker /></EnumerationResults>"
headers:
content-type:
- application/xml
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:18:44 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/promptflow/PromptFlowArtifacts/name/flow_artifacts/000000000_000000024.jsonl
response:
body:
string: '{"line_number": 0, "run_info": {"run_id": "name_0", "status": "Completed",
"error": null, "inputs": {"input_val": "input1"}, "output": {"output": "Hello
world! input1"}, "metrics": null, "request": null, "parent_run_id": "name",
"root_run_id": "name", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-25T09:16:58.053129Z", "end_time": "2024-01-25T09:16:58.055292Z",
"index": 0, "api_calls": [{"name": "my_flow", "type": "Function", "inputs":
{"input_val": "input1"}, "output": "Hello world! input1", "start_time": 1706174218.053984,
"end_time": 1706174218.054859, "error": null, "children": [], "node_name":
null, "parent_id": "", "id": "27b021bc-89d3-43f8-b3ac-a9eed2a84949"}], "variant_id":
"", "name": "", "description": "", "tags": null, "system_metrics": {"duration":
0.002163}, "result": {"output": "Hello world! input1"}, "upload_metrics":
false}, "start_time": "2024-01-25T09:16:58.053129", "end_time": "2024-01-25T09:16:58.055292",
"name": "", "description": "", "status": "Completed", "tags": null}
'
headers:
accept-ranges:
- bytes
content-length:
- '1132'
content-range:
- bytes 0-1131/1132
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 09:16:58 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-committed-block-count:
- '1'
x-ms-blob-type:
- AppendBlob
x-ms-creation-time:
- Thu, 25 Jan 2024 09:16:58 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:18:44 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/promptflow/PromptFlowArtifacts/name/flow_outputs/output.jsonl
response:
body:
string: '{"line_number": 0, "output": "Hello world! input1"}
'
headers:
accept-ranges:
- bytes
content-length:
- '52'
content-range:
- bytes 0-51/52
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 09:17:01 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- e7CC/hOg8uoJ3TK2HaKeZA==
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 25 Jan 2024 09:17:01 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:18:44 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/promptflow/PromptFlowArtifacts/name/instance_results.jsonl
response:
body:
string: '{"line_number": 0, "status": "Completed", "inputs.input_val": "input1",
"output": "Hello world! input1"}
'
headers:
accept-ranges:
- bytes
content-length:
- '105'
content-range:
- bytes 0-104/105
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 09:16:58 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-committed-block-count:
- '1'
x-ms-blob-type:
- AppendBlob
x-ms-creation-time:
- Thu, 25 Jan 2024 09:16:58 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:18:42 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/runs/name/flow.dag.yaml
response:
body:
string: "path: ./entry.py\r\nentry: my_flow\r\nenvironment:\r\n python_requirements_txt:
requirements.txt"
headers:
accept-ranges:
- bytes
content-length:
- '93'
content-range:
- bytes 0-92/93
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 09:16:44 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- 6Vg+8FtENDRmMoCPVxTosA==
x-ms-blob-type:
- BlockBlob
x-ms-copy-completion-time:
- Thu, 25 Jan 2024 09:16:44 GMT
x-ms-copy-id:
- f4653407-3dac-4827-a65f-e1cf4b99a458
x-ms-copy-progress:
- 93/93
x-ms-copy-source:
- https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/LocalUpload/79819672296a1785a95c65c8c0e75b0d/simple_with_req/flow.dag.yaml
x-ms-copy-status:
- success
x-ms-creation-time:
- Thu, 25 Jan 2024 09:16:44 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:18:44 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/promptflow/PromptFlowArtifacts/name/meta.json
response:
body:
string: '{"batch_size": 25}'
headers:
accept-ranges:
- bytes
content-length:
- '18'
content-range:
- bytes 0-17/18
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 09:16:52 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- /u1NXUpgXMFDmZEw835qnw==
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 25 Jan 2024 09:16:52 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
accept:
- '*/*'
accept-encoding:
- gzip, deflate
connection:
- keep-alive
content-length:
- '137'
content-type:
- application/json
host:
- eastus.api.azureml.ms
user-agent:
- python-httpx/0.26.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
content: '{"runMetadata": {"runNumber": 1706174203, "rootRunId": "name", "createdUtc":
"2024-01-25T09:16:43.8144219+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": "100320005227D154", "userIdp": null, "userAltSecId": null, "userIss":
"https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "Han Wang", "upn": null},
"userId": "00000000-0000-0000-0000-000000000000", "token": null, "tokenExpiryTimeUtc":
null, "error": null, "warnings": null, "revision": 6, "statusRevision": 3, "runUuid":
"7da6a191-0945-4e9f-bfc6-a1fc7c72b72c", "parentRunUuid": null, "rootRunUuid":
"7da6a191-0945-4e9f-bfc6-a1fc7c72b72c", "lastStartTimeUtc": null, "currentComputeTime":
null, "computeDuration": "00:00:08.3698759", "effectiveStartTimeUtc": null,
"lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000", "userPuId":
"100320005227D154", "userIdp": null, "userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "Han Wang",
"upn": "[email protected]"}, "lastModifiedUtc": "2024-01-25T09:17:00.9260346+00:00",
"duration": "00:00:08.3698759", "cancelationReason": null, "currentAttemptId":
1, "runId": "name", "parentRunId": null, "experimentId": "64465848-e4a8-42a2-a617-d7f0fcda6f32",
"status": "Completed", "startTimeUtc": "2024-01-25T09:16:53.6662445+00:00",
"endTimeUtc": "2024-01-25T09:17:02.0361204+00:00", "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null, "hidden":
false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": null}, "properties":
{"azureml.promptflow.runtime_name": "automatic", "azureml.promptflow.runtime_version":
"20240116.v1", "azureml.promptflow.definition_file_name": "flow.dag.yaml", "azureml.promptflow.flow_lineage_id":
"63d67b0b61e34b0527b5f3c46dfc953854138b2ffebc68175580285dc2d95663", "azureml.promptflow.flow_definition_datastore_name":
"workspaceblobstore", "azureml.promptflow.flow_definition_blob_path": "LocalUpload/79819672296a1785a95c65c8c0e75b0d/simple_with_req/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.session_id":
"b905697d9d04e1b8c87c12d30eb37326380d5cfeb7d0500e", "azureml.promptflow.snapshot_id":
"1ac134f8-0696-4ce1-ba89-cd4d9748e886", "azureml.promptflow.run_mode": "Eager",
"azureml.promptflow.total_tokens": "0", "_azureml.evaluate_artifacts": "[{\"path\":
\"instance_results.jsonl\", \"type\": \"table\"}]"}, "parameters": {}, "actionUris":
{}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets": [],
"tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName": null,
"createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
"azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.050'
http_version: HTTP/1.1
status_code: 200
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/logContent
response:
body:
string: '"2024-01-25 09:16:46 +0000 50 promptflow-runtime INFO [name]
Receiving v2 bulk run request d3077030-8829-4e75-84e2-23ffb7fe5647: {\"flow_id\":
\"name\", \"flow_run_id\": \"name\", \"flow_source\": {\"flow_source_type\":
1, \"flow_source_info\": {\"snapshot_id\": \"1ac134f8-0696-4ce1-ba89-cd4d9748e886\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-25T08%3A48%3A12Z&ske=2024-01-26T16%3A58%3A12Z&sks=b&skv=2019-07-07&st=2024-01-25T09%3A06%3A45Z&se=2024-01-25T17%3A16%3A45Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl\"},
\"azure_storage_setting\": {\"azure_storage_mode\": 1, \"storage_account_name\":
\"promptfloweast4063704120\", \"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/name\", \"blob_container_sas_token\":
\"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-25T09%3A16%3A45Z&ske=2024-02-01T09%3A16%3A45Z&sks=b&skv=2019-07-07&se=2024-02-01T09%3A16%3A45Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-25 09:16:46 +0000 50
promptflow-runtime INFO Runtime version: 20240116.v1. PromptFlow version:
1.4.0rc3\n2024-01-25 09:16:46 +0000 50 promptflow-runtime INFO Updating
name to Status.Preparing...\n2024-01-25 09:16:47 +0000 50 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/37305/requests/name\n2024-01-25
09:16:47 +0000 50 promptflow-runtime INFO Get snapshot sas url for
1ac134f8-0696-4ce1-ba89-cd4d9748e886.\n2024-01-25 09:16:47 +0000 50 promptflow-runtime
INFO Snapshot 1ac134f8-0696-4ce1-ba89-cd4d9748e886 contains 3 files.\n2024-01-25
09:16:47 +0000 50 promptflow-runtime INFO Download snapshot 1ac134f8-0696-4ce1-ba89-cd4d9748e886
completed.\n2024-01-25 09:16:47 +0000 50 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/37305/requests/name\n2024-01-25
09:16:47 +0000 50 promptflow-runtime INFO About to execute a python
flow.\n2024-01-25 09:16:47 +0000 50 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-25 09:16:47 +0000 50 promptflow-runtime
INFO Starting to check process 526 status for run name\n2024-01-25 09:16:47
+0000 50 promptflow-runtime INFO Start checking run status for run
name\n2024-01-25 09:16:51 +0000 526 promptflow-runtime INFO [50--526]
Start processing flowV2......\n2024-01-25 09:16:51 +0000 526 promptflow-runtime
INFO Runtime version: 20240116.v1. PromptFlow version: 0.0.116642424\n2024-01-25
09:16:51 +0000 526 promptflow-runtime INFO Setting mlflow tracking
uri...\n2024-01-25 09:16:51 +0000 526 promptflow-runtime INFO Validating
''AzureML Data Scientist'' user authentication...\n2024-01-25 09:16:52 +0000 526
promptflow-runtime INFO Successfully validated ''AzureML Data Scientist''
user authentication.\n2024-01-25 09:16:52 +0000 526 promptflow-runtime
INFO Using AzureMLRunStorageV2\n2024-01-25 09:16:52 +0000 526 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-25
09:16:52 +0000 526 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-25 09:16:52 +0000 526 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-25
09:16:53 +0000 526 promptflow-runtime INFO Resolve data from url finished
in 0.5306580369999665 seconds\n2024-01-25 09:16:53 +0000 526 promptflow-runtime
INFO Starting the aml run ''name''...\n2024-01-25 09:16:53 +0000 526
execution WARNING Starting run without column mapping may lead to
unexpected results. Please consult the following documentation for more information:
https://aka.ms/pf/column-mapping\n2024-01-25 09:16:53 +0000 526 execution.bulk INFO Set
process count to 1 by taking the minimum value among the factors of {''default_worker_count'':
4, ''row_count'': 1}.\n2024-01-25 09:16:57 +0000 526 execution.bulk INFO Process
name(ForkProcess-2:2:1)-Process id(596)-Line number(0) start execution.\n2024-01-25
09:16:58 +0000 526 execution.bulk INFO Process name(ForkProcess-2:2:1)-Process
id(596)-Line number(0) completed.\n2024-01-25 09:16:58 +0000 526 execution.bulk INFO Finished
1 / 1 lines.\n2024-01-25 09:16:58 +0000 526 execution.bulk INFO Average
execution time for completed lines: 5.0 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-25 09:17:00 +0000 526 promptflow-runtime
INFO Post processing batch result...\n2024-01-25 09:17:00 +0000 526
execution.bulk INFO Upload status summary metrics for run name finished
in 0.6790808640000705 seconds\n2024-01-25 09:17:00 +0000 526 promptflow-runtime
INFO Successfully write run properties {\"azureml.promptflow.total_tokens\":
0, \"_azureml.evaluate_artifacts\": \"[{\\\"path\\\": \\\"instance_results.jsonl\\\",
\\\"type\\\": \\\"table\\\"}]\"} with run id ''name''\n2024-01-25 09:17:00
+0000 526 execution.bulk INFO Upload RH properties for run name
finished in 0.06737575900001502 seconds\n2024-01-25 09:17:00 +0000 526
promptflow-runtime INFO Creating unregistered output Asset for Run name...\n2024-01-25
09:17:01 +0000 526 promptflow-runtime INFO Created debug_info Asset:
azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1\n2024-01-25
09:17:01 +0000 526 promptflow-runtime INFO Creating unregistered output
Asset for Run name...\n2024-01-25 09:17:01 +0000 526 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1\n2024-01-25
09:17:01 +0000 526 promptflow-runtime INFO Creating Artifact for Run
name...\n2024-01-25 09:17:01 +0000 526 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-25 09:17:01 +0000 526 promptflow-runtime
INFO Patching name...\n2024-01-25 09:17:01 +0000 526 promptflow-runtime
INFO Ending the aml run ''name'' with status ''Completed''...\n2024-01-25
09:17:53 +0000 50 promptflow-runtime INFO Process 526 finished\n2024-01-25
09:17:53 +0000 50 promptflow-runtime INFO [50] Child process finished!\n2024-01-25
09:17:54 +0000 50 promptflow-runtime INFO [name] End processing bulk
run\n2024-01-25 09:17:54 +0000 50 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/37305/requests/name for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '8401'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '1.347'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_submission_exception.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.031'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.080'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_custom_event.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/api-version=2023-08-01-preview
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.038'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?api-version=2023-04-01-preview&count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '1.132'
status:
code: 200
message: OK
- request:
body: '{"runId": "not_exist", "selectRunMetadata": true, "selectRunDefinition":
true, "selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '110'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"error": {"code": "UserError", "severity": null, "message": "Run runId=not_exist
was not found", "messageFormat": "Run {runId} was not found", "messageParameters":
{"runId": "runId=not_exist"}, "referenceCode": null, "detailsUri": null, "target":
null, "details": [], "innerError": {"code": "NotFoundError", "innerError":
null}, "debugInfo": null, "additionalInfo": null}, "correlation": {"operation":
"ea26eac5dbeb3bdc99dc95beeb40ac6f", "request": "010bd843f7775527"}, "environment":
"eastus", "location": "eastus", "time": "2023-11-23T04:54:12.8199101+00:00",
"componentName": "run-history", "statusCode": 404}'
headers:
connection:
- keep-alive
content-length:
- '723'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.112'
status:
code: 404
message: Run runId=not_exist was not found
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_requirements_in_additional_includes.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.030'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.060'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.067'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.085'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:10:47 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '49'
content-md5:
- quXiEreYvPinSj0HsaNa/g==
content-type:
- application/octet-stream
last-modified:
- Wed, 08 Nov 2023 04:26:09 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Wed, 08 Nov 2023 04:26:09 GMT
x-ms-meta-name:
- c4092674-5e53-4c17-b78d-75353ae0edb6
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 579021dc-8ac8-4c73-8110-4642bd00c69b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:10:50 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.074'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.122'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:11:02 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/code_with_additional_includes/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '300'
content-md5:
- JM5HFMAvpAmurbiHjn4gTg==
content-type:
- application/octet-stream
last-modified:
- Fri, 19 Jan 2024 08:00:00 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 19 Jan 2024 07:59:59 GMT
x-ms-meta-name:
- 10fdeb53-9a64-43e0-8211-9f82a8918f9e
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:11:05 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/code_with_additional_includes/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/code_with_additional_includes/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {}, "runtimeName":
"fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '813'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '18.310'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Azure OpenAI
GPT-4 Turbo with Vision", "type": "custom_llm", "inputs": {"connection": {"type":
["AzureOpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "frequency_penalty":
{"type": ["double"], "default": 0, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "max_tokens": {"type": ["int"], "default":
512, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Azure OpenAI GPT-4 Turbo
with Vision to leverage AOAI vision ability.", "module": "promptflow.tools.aoai_gpt4v",
"class_name": "AzureOpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
"type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"1.1.0rc2", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "1.1.0rc2", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "default": "", "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_deployment_names",
"func_kwargs": [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
"type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
"input_type": "default"}, "endpoint_name": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"}, "allow_manual_entry":
true, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an open model from the Azure Model catalog, deployed to
an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": 512, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
{"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "engine": {"type": ["string"], "default":
"google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "location": {"type": ["string"], "default":
"", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Serp API to obtain search results from a specific search engine.", "module":
"promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
"type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
"embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
"func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
"${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
"func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
"${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
"func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
"func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
"type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
"${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
"optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
{"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
"type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
"acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
"type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
"${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
"optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
{"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
"type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
"${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
"optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
"${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
"optional": true, "reference": "${inputs.pinecone_content_field}", "type":
["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
"${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
"optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
{"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
"type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
{"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
"type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
"${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
"default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
"enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
{"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
{"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
"func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
"${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
"func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
"${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search an AzureML Vector Index for relevant results using one or more text
queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
"search", "is_builtin": true, "package": "promptflow-vectordb", "package_version":
"0.0.1", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f70ec21e-2e5f-4f8a-8877-19d060899638",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '26127'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '1.474'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Azure OpenAI
GPT-4 Turbo with Vision", "type": "custom_llm", "inputs": {"connection": {"type":
["AzureOpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "frequency_penalty":
{"type": ["double"], "default": 0, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "max_tokens": {"type": ["int"], "default":
512, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Azure OpenAI GPT-4 Turbo
with Vision to leverage AOAI vision ability.", "module": "promptflow.tools.aoai_gpt4v",
"class_name": "AzureOpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
"type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"1.1.0rc2", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "1.1.0rc2", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "default": "", "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_deployment_names",
"func_kwargs": [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
"type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
"input_type": "default"}, "endpoint_name": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"}, "allow_manual_entry":
true, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an open model from the Azure Model catalog, deployed to
an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": 512, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
{"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "engine": {"type": ["string"], "default":
"google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "location": {"type": ["string"], "default":
"", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Serp API to obtain search results from a specific search engine.", "module":
"promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
"type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
"embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
"func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
"${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
"func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
"${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
"func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
"func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
"type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
"${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
"optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
{"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
"type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
"acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
"type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
"${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
"optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
{"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
"type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
"${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
"optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
"${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
"optional": true, "reference": "${inputs.pinecone_content_field}", "type":
["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
"${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
"optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
{"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
"type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
{"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
"type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
"${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
"default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
"enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
{"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
{"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
"func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
"${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
"func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
"${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search an AzureML Vector Index for relevant results using one or more text
queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
"search", "is_builtin": true, "package": "promptflow-vectordb", "package_version":
"0.0.1", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f70ec21e-2e5f-4f8a-8877-19d060899638",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '26127'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.426'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Azure OpenAI
GPT-4 Turbo with Vision", "type": "custom_llm", "inputs": {"connection": {"type":
["AzureOpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "frequency_penalty":
{"type": ["double"], "default": 0, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "max_tokens": {"type": ["int"], "default":
512, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Azure OpenAI GPT-4 Turbo
with Vision to leverage AOAI vision ability.", "module": "promptflow.tools.aoai_gpt4v",
"class_name": "AzureOpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
"type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"1.1.0rc2", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "1.1.0rc2", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "default": "", "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_deployment_names",
"func_kwargs": [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
"type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
"input_type": "default"}, "endpoint_name": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"}, "allow_manual_entry":
true, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an open model from the Azure Model catalog, deployed to
an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": 512, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
{"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "engine": {"type": ["string"], "default":
"google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "location": {"type": ["string"], "default":
"", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Serp API to obtain search results from a specific search engine.", "module":
"promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
"type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
"embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
"func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
"${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
"func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
"${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
"func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
"func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
"type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
"${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
"optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
{"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
"type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
"acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
"type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
"${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
"optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
{"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
"type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
"${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
"optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
"${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
"optional": true, "reference": "${inputs.pinecone_content_field}", "type":
["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
"${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
"optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
{"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
"type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
{"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
"type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
"${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
"default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
"enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
{"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
{"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
"func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
"${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
"func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
"${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search an AzureML Vector Index for relevant results using one or more text
queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
"search", "is_builtin": true, "package": "promptflow-vectordb", "package_version":
"0.0.1", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f70ec21e-2e5f-4f8a-8877-19d060899638",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '26127'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.361'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Azure OpenAI
GPT-4 Turbo with Vision", "type": "custom_llm", "inputs": {"connection": {"type":
["AzureOpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "frequency_penalty":
{"type": ["double"], "default": 0, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "max_tokens": {"type": ["int"], "default":
512, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Azure OpenAI GPT-4 Turbo
with Vision to leverage AOAI vision ability.", "module": "promptflow.tools.aoai_gpt4v",
"class_name": "AzureOpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
"type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"1.1.0rc2", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "1.1.0rc2", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "default": "", "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_deployment_names",
"func_kwargs": [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
"type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
"input_type": "default"}, "endpoint_name": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"}, "allow_manual_entry":
true, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an open model from the Azure Model catalog, deployed to
an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": 512, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
{"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "engine": {"type": ["string"], "default":
"google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "location": {"type": ["string"], "default":
"", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Serp API to obtain search results from a specific search engine.", "module":
"promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
"type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
"embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
"func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
"${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
"func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
"${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
"func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
"func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
"type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
"${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
"optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
{"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
"type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
"acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
"type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
"${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
"optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
{"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
"type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
"${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
"optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
"${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
"optional": true, "reference": "${inputs.pinecone_content_field}", "type":
["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
"${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
"optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
{"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
"type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
{"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
"type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
"${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
"default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
"enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
{"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
{"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
"func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
"${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
"func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
"${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search an AzureML Vector Index for relevant results using one or more text
queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
"search", "is_builtin": true, "package": "promptflow-vectordb", "package_version":
"0.0.1", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f70ec21e-2e5f-4f8a-8877-19d060899638",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '26127'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '1.342'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Azure OpenAI
GPT-4 Turbo with Vision", "type": "custom_llm", "inputs": {"connection": {"type":
["AzureOpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "frequency_penalty":
{"type": ["double"], "default": 0, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "max_tokens": {"type": ["int"], "default":
512, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Azure OpenAI GPT-4 Turbo
with Vision to leverage AOAI vision ability.", "module": "promptflow.tools.aoai_gpt4v",
"class_name": "AzureOpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
"type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"1.1.0rc2", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "1.1.0rc2", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "default": "", "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_deployment_names",
"func_kwargs": [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
"type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
"input_type": "default"}, "endpoint_name": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"}, "allow_manual_entry":
true, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an open model from the Azure Model catalog, deployed to
an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": 512, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
{"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "engine": {"type": ["string"], "default":
"google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "location": {"type": ["string"], "default":
"", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Serp API to obtain search results from a specific search engine.", "module":
"promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
"type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
"embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
"func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
"${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
"func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
"${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
"func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
"func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
"type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
"${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
"optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
{"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
"type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
"acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
"type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
"${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
"optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
{"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
"type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
"${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
"optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
"${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
"optional": true, "reference": "${inputs.pinecone_content_field}", "type":
["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
"${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
"optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
{"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
"type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
{"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
"type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
"${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
"default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
"enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
{"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
{"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
"func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
"${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
"func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
"${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search an AzureML Vector Index for relevant results using one or more text
queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
"search", "is_builtin": true, "package": "promptflow-vectordb", "package_version":
"0.0.1", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f70ec21e-2e5f-4f8a-8877-19d060899638",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '26127'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.299'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Azure OpenAI
GPT-4 Turbo with Vision", "type": "custom_llm", "inputs": {"connection": {"type":
["AzureOpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "frequency_penalty":
{"type": ["double"], "default": 0, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "max_tokens": {"type": ["int"], "default":
512, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Azure OpenAI GPT-4 Turbo
with Vision to leverage AOAI vision ability.", "module": "promptflow.tools.aoai_gpt4v",
"class_name": "AzureOpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
"type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"1.1.0rc2", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "1.1.0rc2", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "default": "", "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_deployment_names",
"func_kwargs": [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
"type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
"input_type": "default"}, "endpoint_name": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"}, "allow_manual_entry":
true, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an open model from the Azure Model catalog, deployed to
an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": 512, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
{"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "engine": {"type": ["string"], "default":
"google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "location": {"type": ["string"], "default":
"", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Serp API to obtain search results from a specific search engine.", "module":
"promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
"type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
"embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
"func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
"${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
"func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
"${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
"func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
"func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
"type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
"${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
"optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
{"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
"type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
"acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
"type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
"${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
"optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
{"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
"type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
"${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
"optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
"${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
"optional": true, "reference": "${inputs.pinecone_content_field}", "type":
["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
"${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
"optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
{"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
"type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
{"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
"type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
"${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
"default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
"enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
{"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
{"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
"func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
"${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
"func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
"${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search an AzureML Vector Index for relevant results using one or more text
queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
"search", "is_builtin": true, "package": "promptflow-vectordb", "package_version":
"0.0.1", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f70ec21e-2e5f-4f8a-8877-19d060899638",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '26127'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '1.342'
status:
code: 200
message: OK
- request:
body: '{}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '2'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/metric/v2.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/runs/name/lastvalues
response:
body:
string: '{"value": [{"dataContainerId": "dcid.name", "name": "__pf__.nodes.print_env.completed",
"columns": {"__pf__.nodes.print_env.completed": "Double"}, "properties": {"uxMetricType":
"azureml.v1.scalar", "dataLocation": null}, "namespace": null, "standardSchemaId":
null, "value": [{"metricId": "01092792-6bd6-45aa-868a-973271205a28", "createdUtc":
"2024-01-19T08:11:45.231+00:00", "step": 0, "data": {"__pf__.nodes.print_env.completed":
1.0}}]}, {"dataContainerId": "dcid.name", "name": "__pf__.lines.completed",
"columns": {"__pf__.lines.completed": "Double"}, "properties": {"uxMetricType":
"azureml.v1.scalar", "dataLocation": null}, "namespace": null, "standardSchemaId":
null, "value": [{"metricId": "6dc08009-42ee-4619-90ab-9a43b1b5912b", "createdUtc":
"2024-01-19T08:11:45.607+00:00", "step": 0, "data": {"__pf__.lines.completed":
1.0}}]}, {"dataContainerId": "dcid.name", "name": "__pf__.lines.failed", "columns":
{"__pf__.lines.failed": "Double"}, "properties": {"uxMetricType": "azureml.v1.scalar",
"dataLocation": null}, "namespace": null, "standardSchemaId": null, "value":
[{"metricId": "4339576f-f2a2-4246-aca2-e899080b64c4", "createdUtc": "2024-01-19T08:11:46.017+00:00",
"step": 0, "data": {"__pf__.lines.failed": 0.0}}]}]}'
headers:
connection:
- keep-alive
content-length:
- '1885'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.060'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "print_env", "type": "python", "source":
{"type": "code", "path": "print_env.py"}, "inputs": {"key": "${inputs.key}"},
"tool": "print_env.py", "reduce": false}], "tools": [{"name": "Azure OpenAI
GPT-4 Turbo with Vision", "type": "custom_llm", "inputs": {"connection": {"type":
["AzureOpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "frequency_penalty":
{"type": ["double"], "default": 0, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "max_tokens": {"type": ["int"], "default":
512, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Azure OpenAI GPT-4 Turbo
with Vision to leverage AOAI vision ability.", "module": "promptflow.tools.aoai_gpt4v",
"class_name": "AzureOpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Content Safety (Text Analyze)",
"type": "python", "inputs": {"connection": {"type": ["AzureContentSafetyConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"hate_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"self_harm_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"sexual_category": {"type": ["string"], "default": "medium_sensitivity", "enum":
["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"text": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "violence_category": {"type": ["string"],
"default": "medium_sensitivity", "enum": ["disable", "low_sensitivity", "medium_sensitivity",
"high_sensitivity"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Use Azure Content Safety to detect
harmful content.", "module": "promptflow.tools.azure_content_safety", "function":
"analyze_text", "is_builtin": true, "package": "promptflow-tools", "package_version":
"1.1.0rc2", "enable_kwargs": false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": true, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "1.1.0rc2", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Model LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "default": "", "dynamic_list": {"func_path": "promptflow.tools.open_model_llm.list_deployment_names",
"func_kwargs": [{"name": "endpoint", "optional": true, "reference": "${inputs.endpoint}",
"type": ["string"]}]}, "allow_manual_entry": true, "is_multi_select": false,
"input_type": "default"}, "endpoint_name": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow.tools.open_model_llm.list_endpoint_names"}, "allow_manual_entry":
true, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an open model from the Azure Model catalog, deployed to
an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_model_llm", "class_name": "OpenModelLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": 512, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "icon": {"dark": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAA2ElEQVR4nJXSzW3CQBAF4DUSTjk+Al1AD0ikESslpBIEheRALhEpgAYSWV8OGUublf/yLuP3PPNmdndS+gdwXZrYDmh7fGE/W+wXbaYd8IYm4rxJPnZ0boI3wZcdJxs/n+AwV7DFK7aFyfQdYIMLPvES8YJNf5yp4jMeeEYdWh38gXOR35YGHe5xabvQdsHv6PLi8qV6gycc8YH3iMfQu6Lh4ASr+F5Hh3XwVWnQYzUkVlX1nccplAb1SN6Y/sfgmlK64VS8wimldIv/0yj2QLkHizG0iWP4AVAfQ34DVQONAAAAAElFTkSuQmCC",
"light": "data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAABAAAAAQCAYAAAAf8/9hAAAAx0lEQVR4nJWSwQ2CQBBFX0jAcjgqXUgPJNiIsQQrIVCIFy8GC6ABDcGDX7Mus9n1Xz7zZ+fPsLPwH4bUg0dD2wMPcbR48Uxq4AKU4iSTDwZ1LhWXipN/B3V0J6hjBTvgLHZNonewBXrgDpzEvXSIjN0BE3AACmmF4kl5F6tNzcCoLpW0SvGovFvsb4oZ2AANcAOu4ka6axCcINN3rg654sww+CYsPD0OwjcozFNh/Qcd78tqVbCIW+n+Fky472Bh/Q6SYb1EEy8tDzd+9IsVPAAAAABJRU5ErkJggg=="},
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"default_prompt": "# system:\nAs an AI assistant, your task involves interpreting
images and responding to questions about the image.\nRemember to provide accurate
answers based on the information present in the image.\n\n# user:\nCan you
tell me what the image depicts?\n\n", "enable_kwargs":
false, "tool_state": "preview"}, {"name": "Serp API", "type": "python", "inputs":
{"connection": {"type": ["SerpConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "engine": {"type": ["string"], "default":
"google", "enum": ["google", "bing"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "location": {"type": ["string"], "default":
"", "allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"num": {"type": ["int"], "default": "10", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "safe": {"type":
["string"], "default": "off", "enum": ["active", "off"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Use Serp API to obtain search results from a specific search engine.", "module":
"promptflow.tools.serpapi", "class_name": "SerpAPI", "function": "search",
"is_builtin": true, "package": "promptflow-tools", "package_version": "1.1.0rc2",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Index Lookup",
"type": "python", "inputs": {"acs_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_embedding_field": {"type": ["string"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Collection(Edm.Single)", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "acs_index_connection": {"type": ["CognitiveSearchConnection"],
"enabled_by": "index_type", "enabled_by_value": ["Azure AI Search"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "acs_index_name":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_indices",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"acs_metadata_field": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Azure AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_fields",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}, {"default": "Edm.String", "name": "field_data_type",
"optional": false, "type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "uionly_hidden"}, "aoai_embedding_connection": {"type":
["AzureOpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["Azure OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "embedding_deployment": {"type": ["string"], "enabled_by":
"embedding_type", "enabled_by_value": ["Azure OpenAI"], "dynamic_list": {"func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.list_aoai_embedding_deployments",
"func_kwargs": [{"name": "aoai_connection", "optional": false, "reference":
"${inputs.aoai_embedding_connection}", "type": ["AzurOpenAIConnection"]}]},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"embedding_model": {"type": ["string"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI", "Hugging Face"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_embedding_models",
"func_kwargs": [{"name": "embedding_type", "optional": false, "reference":
"${inputs.embedding_type}", "type": ["string"]}]}, "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "embedding_type":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search", "FAISS", "Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_embedding_types",
"func_kwargs": [{"name": "index_type", "optional": false, "reference": "${inputs.index_type}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "faiss_index_path": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["FAISS"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "index_type": {"type":
["string"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_index_types"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_asset_id": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Registered Index"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_registered_mlindices"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"mlindex_content": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "generated_by": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.forward_mapping",
"func_kwargs": [{"name": "index_type", "reference": "${inputs.index_type}",
"type": ["string"]}, {"name": "mlindex_asset_id", "optional": true, "reference":
"${inputs.mlindex_asset_id}", "type": ["string"]}, {"name": "mlindex_path",
"optional": true, "reference": "${inputs.mlindex_path}", "type": ["string"]},
{"name": "acs_index_connection", "optional": true, "reference": "${inputs.acs_index_connection}",
"type": ["CognitiveSearchConnection"]}, {"name": "acs_index_name", "optional":
true, "reference": "${inputs.acs_index_name}", "type": ["string"]}, {"name":
"acs_content_field", "optional": true, "reference": "${inputs.acs_content_field}",
"type": ["string"]}, {"name": "acs_embedding_field", "optional": true, "reference":
"${inputs.acs_embedding_field}", "type": ["string"]}, {"name": "acs_metadata_field",
"optional": true, "reference": "${inputs.acs_metadata_field}", "type": ["string"]},
{"name": "semantic_configuration", "optional": true, "reference": "${inputs.semantic_configuration}",
"type": ["string"]}, {"name": "faiss_index_path", "optional": true, "reference":
"${inputs.faiss_index_path}", "type": ["string"]}, {"name": "pinecone_index_connection",
"optional": true, "reference": "${inputs.pinecone_index_connection}", "type":
["string"]}, {"name": "pinecone_index_name", "optional": true, "reference":
"${inputs.pinecone_index_name}", "type": ["string"]}, {"name": "pinecone_content_field",
"optional": true, "reference": "${inputs.pinecone_content_field}", "type":
["string"]}, {"name": "pinecone_metadata_field", "optional": true, "reference":
"${inputs.pinecone_metadata_field}", "type": ["string"]}, {"name": "embedding_type",
"optional": true, "reference": "${inputs.embedding_type}", "type": ["string"]},
{"name": "aoai_embedding_connection", "optional": true, "reference": "${inputs.aoai_embedding_connection}",
"type": ["AzureOpenAIConnection"]}, {"name": "oai_embedding_connection", "optional":
true, "reference": "${inputs.oai_embedding_connection}", "type": ["string"]},
{"name": "embedding_model", "optional": true, "reference": "${inputs.embedding_model}",
"type": ["string"]}, {"name": "embedding_deployment", "optional": true, "reference":
"${inputs.embedding_deployment}", "type": ["string"]}], "reverse_func_path":
"promptflow_vectordb.tool.common_index_lookup_utils.reverse_mapping"}, "input_type":
"default"}, "mlindex_path": {"type": ["string"], "enabled_by": "index_type",
"enabled_by_value": ["MLIndex file from path"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "oai_embedding_connection":
{"type": ["OpenAIConnection"], "enabled_by": "embedding_type", "enabled_by_value":
["OpenAI"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"uionly_hidden"}, "pinecone_content_field": {"type": ["string"], "enabled_by":
"index_type", "enabled_by_value": ["Pinecone"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_index_connection":
{"type": ["PineconeConnection"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_connections"},
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"pinecone_index_name": {"type": ["string"], "enabled_by": "index_type", "enabled_by_value":
["Pinecone"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_pinecone_indices",
"func_kwargs": [{"name": "pinecone_connection_name", "optional": false, "reference":
"${inputs.pinecone_index_connection}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "uionly_hidden"}, "pinecone_metadata_field":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Pinecone"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "uionly_hidden"},
"queries": {"type": ["object"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query_type": {"type": ["string"], "dynamic_list":
{"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_available_query_types",
"func_kwargs": [{"name": "mlindex_content", "optional": false, "reference":
"${inputs.mlindex_content}", "type": ["string"]}]}, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "semantic_configuration":
{"type": ["string"], "enabled_by": "index_type", "enabled_by_value": ["Azure
AI Search"], "dynamic_list": {"func_path": "promptflow_vectordb.tool.common_index_lookup_utils.list_acs_index_semantic_configurations",
"func_kwargs": [{"name": "acs_connection", "optional": false, "reference":
"${inputs.acs_index_connection}", "type": ["CognitiveSearchConnection"]},
{"name": "acs_index_name", "optional": false, "reference": "${inputs.acs_index_name}",
"type": ["string"]}]}, "allow_manual_entry": false, "is_multi_select": false,
"input_type": "uionly_hidden"}, "top_k": {"type": ["int"], "default": 3, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search an AzureML Vector Index for relevant results using one or more text
queries.", "module": "promptflow_vectordb.tool.common_index_lookup", "function":
"search", "is_builtin": true, "package": "promptflow-vectordb", "package_version":
"0.0.1", "enable_kwargs": false, "tool_state": "preview"}, {"name": "Faiss
Index Lookup", "type": "python", "inputs": {"path": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "vector": {"type": ["list"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "description":
"Search vector based query from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "print_env.py", "type": "python",
"inputs": {"key": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "source": "print_env.py", "function": "get_env_var",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"key": {"type": "string", "is_chat_input": false}}, "outputs": {"output":
{"type": "string", "reference": "${print_env.output.value}", "evaluation_only":
false, "is_chat_output": false}}}, "flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "f70ec21e-2e5f-4f8a-8877-19d060899638",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '26127'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.365'
status:
code: 200
message: OK
- request:
body: '{"value": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1"}'
headers:
accept:
- '*/*'
accept-encoding:
- gzip, deflate
connection:
- keep-alive
content-length:
- '171'
content-type:
- application/json
host:
- eastus.api.azureml.ms
user-agent:
- python-httpx/0.26.0
method: POST
uri: https://eastus.api.azureml.ms/data/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/dataversion/getByAssetId
response:
content: '{"dataVersion": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
"dataContainerName": "azureml_name_output_data_debug_info", "dataType": "UriFolder",
"dataUri": "azureml://subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/workspaces/00000/datastores/workspaceblobstore/paths/promptflow/PromptFlowArtifacts/name/",
"versionId": "1", "mutableProps": {"dataExpiryTime": null, "description": null,
"tags": null, "isArchived": false, "stage": "Logged", "autoDeleteSetting": null},
"referencedDataUris": null, "properties": null, "initialAssetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
"isRegistered": false, "runId": "name", "originAssetId": null}, "entityMetadata":
{"etag": "\"2f00b525-0000-0100-0000-65aa2ecc0000\"", "createdTime": "2024-01-19T08:11:56.5286266+00:00",
"modifiedTime": "2024-01-19T08:11:56.5367895+00:00", "createdBy": {"userObjectId":
"00000000-0000-0000-0000-000000000000", "userPuId": "100320005227D154", "userIdp":
null, "userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "Han Wang",
"upn": "[email protected]"}, "modifiedBy": null}, "legacyDatasetId": "04ab4f78-3116-4f3f-b6f5-dd98f4d14ff8",
"isV2": true, "legacyDatasetType": null, "legacyDataflowType": null, "legacyDataflow":
null, "legacySavedDatasetId": null, "putAssetLROResponseDto": null}'
headers:
connection:
- keep-alive
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.039'
http_version: HTTP/1.1
status_code: 200
- request:
body: '{"snapshotOrAssetId": "f70ec21e-2e5f-4f8a-8877-19d060899638"}'
headers:
accept:
- '*/*'
accept-encoding:
- gzip, deflate
connection:
- keep-alive
content-length:
- '61'
content-type:
- application/json
host:
- eastus.api.azureml.ms
user-agent:
- python-httpx/0.26.0
method: POST
uri: https://eastus.api.azureml.ms/content/v2.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/snapshots/sas
response:
content: '{"name": "", "hash": null, "type": "Directory", "timestamp": "0001-01-01T00:00:00+00:00",
"sasUrl": null, "absoluteUrl": null, "sizeBytes": 0, "sizeSet": false, "children":
{"flow.dag.yaml": {"name": "flow.dag.yaml", "hash": "24CE4714C02FA409AEADB8878E7E204E",
"type": "File", "timestamp": "0001-01-01T00:00:00+00:00", "sasUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/flow.dag.yaml?sv=2019-07-07&sr=b&sig=IrX0ZM%2FdLL%2BgZS75bUdarEhFwZYtQ8Etksmtrw%2FQpi0%3D&st=2024-01-19T08%3A03%3A36Z&se=2024-01-19T16%3A13%3A36Z&sp=r&rscd=filename%3Dflow.dag.yaml",
"absoluteUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/flow.dag.yaml",
"sizeBytes": 300, "sizeSet": true, "children": {}}, "print_env.py": {"name":
"print_env.py", "hash": "B668E4950699A7A20D8129DC61D34581", "type": "File",
"timestamp": "0001-01-01T00:00:00+00:00", "sasUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/print_env.py?sv=2019-07-07&sr=b&sig=tGiNZjTCTMAQ%2BLE3YSC%2F4NemP0qBbNI9Alyc7JPoztw%3D&st=2024-01-19T08%3A03%3A36Z&se=2024-01-19T16%3A13%3A36Z&sp=r&rscd=filename%3Dprint_env.py",
"absoluteUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/print_env.py",
"sizeBytes": 248, "sizeSet": true, "children": {}}, "requirements": {"name":
"requirements", "hash": "2C39BC19B761AC36DC046245D1D47FE6", "type": "File",
"timestamp": "0001-01-01T00:00:00+00:00", "sasUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/requirements?sv=2019-07-07&sr=b&sig=FKorDxRbWkYZkpIH2%2Bbh%2FjFXW5wb62Re4sMqlEl5F%2B4%3D&st=2024-01-19T08%3A03%3A36Z&se=2024-01-19T16%3A13%3A36Z&sp=r&rscd=filename%3Drequirements",
"absoluteUrl": "https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/runs/name/requirements",
"sizeBytes": 10, "sizeSet": true, "children": {}}}}'
headers:
connection:
- keep-alive
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.048'
http_version: HTTP/1.1
status_code: 200
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:13:40 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/runs/name/flow.dag.yaml
response:
body:
string: "inputs:\r\n key:\r\n type: string\r\noutputs:\r\n output:\r\n
\ type: string\r\n reference: ${print_env.output.value}\r\nnodes:\r\n-
name: print_env\r\n type: python\r\n source:\r\n type: code\r\n path:
print_env.py\r\n inputs:\r\n key: ${inputs.key}\r\nenvironment:\r\n python_requirements_txt:
requirements\r\n"
headers:
accept-ranges:
- bytes
content-length:
- '300'
content-range:
- bytes 0-299/300
content-type:
- application/octet-stream
last-modified:
- Fri, 19 Jan 2024 08:11:29 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- JM5HFMAvpAmurbiHjn4gTg==
x-ms-blob-type:
- BlockBlob
x-ms-copy-completion-time:
- Fri, 19 Jan 2024 08:11:29 GMT
x-ms-copy-id:
- 7c4d31aa-4ce9-45c1-83da-0aa076508ac7
x-ms-copy-progress:
- 300/300
x-ms-copy-source:
- https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/LocalUpload/74854f49405e7ffcddc484d043cf0ef3/code_with_additional_includes/flow.dag.yaml
x-ms-copy-status:
- success
x-ms-creation-time:
- Fri, 19 Jan 2024 08:11:29 GMT
x-ms-meta-name:
- 10fdeb53-9a64-43e0-8211-9f82a8918f9e
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:13:40 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/runs/name/requirements
response:
body:
string: tensorflow
headers:
accept-ranges:
- bytes
content-length:
- '10'
content-range:
- bytes 0-9/10
content-type:
- application/octet-stream
last-modified:
- Fri, 19 Jan 2024 08:11:29 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- LDm8GbdhrDbcBGJF0dR/5g==
x-ms-blob-type:
- BlockBlob
x-ms-copy-completion-time:
- Fri, 19 Jan 2024 08:11:29 GMT
x-ms-copy-id:
- fdd5ec4f-d3ab-4e64-9c48-63daf3e9bb2b
x-ms-copy-progress:
- 10/10
x-ms-copy-source:
- https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/LocalUpload/74854f49405e7ffcddc484d043cf0ef3/code_with_additional_includes/requirements
x-ms-copy-status:
- success
x-ms-creation-time:
- Fri, 19 Jan 2024 08:11:29 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:13:40 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/runs/name/print_env.py
response:
body:
string: "import os\r\n\r\nfrom promptflow import tool\r\n\r\n\r\n@tool\r\ndef
get_env_var(key: str):\r\n from tensorflow import __version__\r\n\r\n print(__version__)\r\n
\ print(os.environ.get(key))\r\n\r\n # get from env var\r\n return
{\"value\": os.environ.get(key)}\r\n"
headers:
accept-ranges:
- bytes
content-length:
- '248'
content-range:
- bytes 0-247/248
content-type:
- application/octet-stream
last-modified:
- Fri, 19 Jan 2024 08:11:29 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- tmjklQaZp6INgSncYdNFgQ==
x-ms-blob-type:
- BlockBlob
x-ms-copy-completion-time:
- Fri, 19 Jan 2024 08:11:29 GMT
x-ms-copy-id:
- a3ba9cb2-712b-4175-9a78-e135ed562c7d
x-ms-copy-progress:
- 248/248
x-ms-copy-source:
- https://promptfloweast4063704120.blob.core.windows.net/azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5/LocalUpload/74854f49405e7ffcddc484d043cf0ef3/code_with_additional_includes/print_env.py
x-ms-copy-status:
- success
x-ms-creation-time:
- Fri, 19 Jan 2024 08:11:29 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:13:36 GMT
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name?comp=list&prefix=promptflow%2FPromptFlowArtifacts%2Fname%2F&restype=container
response:
body:
string: "\uFEFF<?xml version=\"1.0\" encoding=\"utf-8\"?><EnumerationResults
ServiceEndpoint=\"https://promptfloweast4063704120.blob.core.windows.net/\"
ContainerName=\"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\"><Prefix>promptflow/PromptFlowArtifacts/name/</Prefix><Blobs><Blob><Name>promptflow/PromptFlowArtifacts/name/flow_artifacts/000000000_000000024.jsonl</Name><Properties><Creation-Time>Fri,
19 Jan 2024 08:11:44 GMT</Creation-Time><Last-Modified>Fri, 19 Jan 2024 08:11:44
GMT</Last-Modified><Etag>0x8DC18C6464190D9</Etag><Content-Length>1432</Content-Length><Content-Type>application/octet-stream</Content-Type><Content-Encoding
/><Content-Language /><Content-CRC64 /><Content-MD5 /><Cache-Control /><Content-Disposition
/><BlobType>AppendBlob</BlobType><LeaseStatus>unlocked</LeaseStatus><LeaseState>available</LeaseState><ServerEncrypted>true</ServerEncrypted></Properties><OrMetadata
/></Blob><Blob><Name>promptflow/PromptFlowArtifacts/name/flow_outputs/output.jsonl</Name><Properties><Creation-Time>Fri,
19 Jan 2024 08:11:56 GMT</Creation-Time><Last-Modified>Fri, 19 Jan 2024 08:11:56
GMT</Last-Modified><Etag>0x8DC18C64DB586D4</Etag><Content-Length>35</Content-Length><Content-Type>application/octet-stream</Content-Type><Content-Encoding
/><Content-Language /><Content-CRC64 /><Content-MD5>/e0Zn1phO4FyeGCAse5gGw==</Content-MD5><Cache-Control
/><Content-Disposition /><BlobType>BlockBlob</BlobType><AccessTier>Hot</AccessTier><AccessTierInferred>true</AccessTierInferred><LeaseStatus>unlocked</LeaseStatus><LeaseState>available</LeaseState><ServerEncrypted>true</ServerEncrypted></Properties><OrMetadata
/></Blob><Blob><Name>promptflow/PromptFlowArtifacts/name/instance_results.jsonl</Name><Properties><Creation-Time>Fri,
19 Jan 2024 08:11:44 GMT</Creation-Time><Last-Modified>Fri, 19 Jan 2024 08:11:44
GMT</Last-Modified><Etag>0x8DC18C64645F8A6</Etag><Content-Length>109</Content-Length><Content-Type>application/octet-stream</Content-Type><Content-Encoding
/><Content-Language /><Content-CRC64 /><Content-MD5 /><Cache-Control /><Content-Disposition
/><BlobType>AppendBlob</BlobType><LeaseStatus>unlocked</LeaseStatus><LeaseState>available</LeaseState><ServerEncrypted>true</ServerEncrypted></Properties><OrMetadata
/></Blob><Blob><Name>promptflow/PromptFlowArtifacts/name/meta.json</Name><Properties><Creation-Time>Fri,
19 Jan 2024 08:11:40 GMT</Creation-Time><Last-Modified>Fri, 19 Jan 2024 08:11:40
GMT</Last-Modified><Etag>0x8DC18C64419CAF1</Etag><Content-Length>18</Content-Length><Content-Type>application/octet-stream</Content-Type><Content-Encoding
/><Content-Language /><Content-CRC64 /><Content-MD5>/u1NXUpgXMFDmZEw835qnw==</Content-MD5><Cache-Control
/><Content-Disposition /><BlobType>BlockBlob</BlobType><AccessTier>Hot</AccessTier><AccessTierInferred>true</AccessTierInferred><LeaseStatus>unlocked</LeaseStatus><LeaseState>available</LeaseState><ServerEncrypted>true</ServerEncrypted></Properties><OrMetadata
/></Blob><Blob><Name>promptflow/PromptFlowArtifacts/name/node_artifacts/print_env/000000000.jsonl</Name><Properties><Creation-Time>Fri,
19 Jan 2024 08:11:44 GMT</Creation-Time><Last-Modified>Fri, 19 Jan 2024 08:11:44
GMT</Last-Modified><Etag>0x8DC18C6463C18AF</Etag><Content-Length>1141</Content-Length><Content-Type>application/octet-stream</Content-Type><Content-Encoding
/><Content-Language /><Content-CRC64 /><Content-MD5>rDx89XmW939YhK5e8LOGYQ==</Content-MD5><Cache-Control
/><Content-Disposition /><BlobType>BlockBlob</BlobType><AccessTier>Hot</AccessTier><AccessTierInferred>true</AccessTierInferred><LeaseStatus>unlocked</LeaseStatus><LeaseState>available</LeaseState><ServerEncrypted>true</ServerEncrypted></Properties><OrMetadata
/></Blob></Blobs><NextMarker /></EnumerationResults>"
headers:
content-type:
- application/xml
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:13:43 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/promptflow/PromptFlowArtifacts/name/flow_artifacts/000000000_000000024.jsonl
response:
body:
string: '{"line_number": 0, "run_info": {"run_id": "name_0", "status": "Completed",
"error": null, "inputs": {"key": "API_BASE", "line_number": 0}, "output":
{"output": null}, "metrics": null, "request": null, "parent_run_id": "name",
"root_run_id": "name", "source_run_id": null, "flow_id": "default_flow_id",
"start_time": "2024-01-19T08:11:41.857673Z", "end_time": "2024-01-19T08:11:44.056761Z",
"index": 0, "api_calls": [{"name": "flow", "node_name": "flow", "type": "Flow",
"start_time": 1705651901.857673, "end_time": 1705651904.056761, "children":
[{"name": "get_env_var", "type": "Tool", "inputs": {"key": "API_BASE"}, "output":
{"value": null}, "start_time": 1705651901.861366, "end_time": 1705651904.054938,
"error": null, "children": [], "node_name": "print_env", "parent_id": "",
"id": "d9302caf-a93e-469c-9dc9-86c788dcc0b5", "system_metrics": {}}], "system_metrics":
{"duration": 2.199088, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}}], "variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 2.199088, "prompt_tokens": 0, "completion_tokens": 0, "total_tokens":
0}, "result": {"output": null}, "upload_metrics": false}, "start_time": "2024-01-19T08:11:41.857673",
"end_time": "2024-01-19T08:11:44.056761", "name": "", "description": "", "status":
"Completed", "tags": null}
'
headers:
accept-ranges:
- bytes
content-length:
- '1432'
content-range:
- bytes 0-1431/1432
content-type:
- application/octet-stream
last-modified:
- Fri, 19 Jan 2024 08:11:44 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-committed-block-count:
- '1'
x-ms-blob-type:
- AppendBlob
x-ms-creation-time:
- Fri, 19 Jan 2024 08:11:44 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:13:43 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/promptflow/PromptFlowArtifacts/name/flow_outputs/output.jsonl
response:
body:
string: '{"line_number": 0, "output": null}
'
headers:
accept-ranges:
- bytes
content-length:
- '35'
content-range:
- bytes 0-34/35
content-type:
- application/octet-stream
last-modified:
- Fri, 19 Jan 2024 08:11:56 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- /e0Zn1phO4FyeGCAse5gGw==
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 19 Jan 2024 08:11:56 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:13:43 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/promptflow/PromptFlowArtifacts/name/instance_results.jsonl
response:
body:
string: '{"line_number": 0, "status": "Completed", "inputs.key": "API_BASE",
"inputs.line_number": 0, "output": null}
'
headers:
accept-ranges:
- bytes
content-length:
- '109'
content-range:
- bytes 0-108/109
content-type:
- application/octet-stream
last-modified:
- Fri, 19 Jan 2024 08:11:44 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-committed-block-count:
- '1'
x-ms-blob-type:
- AppendBlob
x-ms-creation-time:
- Fri, 19 Jan 2024 08:11:44 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:13:43 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/promptflow/PromptFlowArtifacts/name/meta.json
response:
body:
string: '{"batch_size": 25}'
headers:
accept-ranges:
- bytes
content-length:
- '18'
content-range:
- bytes 0-17/18
content-type:
- application/octet-stream
last-modified:
- Fri, 19 Jan 2024 08:11:40 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- /u1NXUpgXMFDmZEw835qnw==
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 19 Jan 2024 08:11:40 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: null
headers:
Accept:
- application/xml
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Fri, 19 Jan 2024 08:13:43 GMT
x-ms-range:
- bytes=0-33554431
x-ms-version:
- '2023-11-03'
method: GET
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/promptflow/PromptFlowArtifacts/name/node_artifacts/print_env/000000000.jsonl
response:
body:
string: '{"node_name": "print_env", "line_number": 0, "run_info": {"node": "print_env",
"flow_run_id": "name", "run_id": "name_print_env_0", "status": "Completed",
"inputs": {"key": "API_BASE"}, "output": {"value": null}, "metrics": null,
"error": null, "parent_run_id": "name_0", "start_time": "2024-01-19T08:11:41.860384Z",
"end_time": "2024-01-19T08:11:44.055422Z", "index": 0, "api_calls": [{"name":
"get_env_var", "type": "Tool", "inputs": {"key": "API_BASE"}, "output": {"value":
null}, "start_time": 1705651901.861366, "end_time": 1705651904.054938, "error":
null, "children": [], "node_name": "print_env", "parent_id": "", "id": "d9302caf-a93e-469c-9dc9-86c788dcc0b5",
"system_metrics": {}}], "variant_id": "", "cached_run_id": null, "cached_flow_run_id":
null, "logs": {"stdout": "[2024-01-19T08:11:44+0000] 2.15.0\n[2024-01-19T08:11:44+0000]
None\n", "stderr": ""}, "system_metrics": {"duration": 2.195038}, "result":
{"value": null}}, "start_time": "2024-01-19T08:11:41.860384", "end_time":
"2024-01-19T08:11:44.055422", "status": "Completed"}'
headers:
accept-ranges:
- bytes
content-length:
- '1141'
content-range:
- bytes 0-1140/1141
content-type:
- application/octet-stream
last-modified:
- Fri, 19 Jan 2024 08:11:44 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-content-md5:
- rDx89XmW939YhK5e8LOGYQ==
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 19 Jan 2024 08:11:44 GMT
x-ms-version:
- '2023-11-03'
status:
code: 206
message: Partial Content
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
accept:
- '*/*'
accept-encoding:
- gzip, deflate
connection:
- keep-alive
content-length:
- '137'
content-type:
- application/json
host:
- eastus.api.azureml.ms
user-agent:
- python-httpx/0.26.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
content: '{"runMetadata": {"runNumber": 1705651879, "rootRunId": "name", "createdUtc":
"2024-01-19T08:11:19.8397061+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": "100320005227D154", "userIdp": null, "userAltSecId": null, "userIss":
"https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "Han Wang", "upn": null},
"userId": "00000000-0000-0000-0000-000000000000", "token": null, "tokenExpiryTimeUtc":
null, "error": null, "warnings": null, "revision": 6, "statusRevision": 3, "runUuid":
"2dcd6208-7f09-4ef0-884e-f99c0c1aa73e", "parentRunUuid": null, "rootRunUuid":
"2dcd6208-7f09-4ef0-884e-f99c0c1aa73e", "lastStartTimeUtc": null, "currentComputeTime":
null, "computeDuration": "00:00:15.8157799", "effectiveStartTimeUtc": null,
"lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000", "userPuId":
"100320005227D154", "userIdp": null, "userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "Han Wang",
"upn": "[email protected]"}, "lastModifiedUtc": "2024-01-19T08:11:50.5800828+00:00",
"duration": "00:00:15.8157799", "cancelationReason": null, "currentAttemptId":
1, "runId": "name", "parentRunId": null, "experimentId": "e366b94e-bc01-491b-95af-7881c0f5996c",
"status": "Completed", "startTimeUtc": "2024-01-19T08:11:41.4356867+00:00",
"endTimeUtc": "2024-01-19T08:11:57.2514666+00:00", "scheduleId": null, "displayName":
"name", "name": null, "dataContainerId": "dcid.name", "description": null, "hidden":
false, "runType": "azureml.promptflow.FlowRun", "runTypeV2": {"orchestrator":
null, "traits": [], "attribution": "PromptFlow", "computeType": null}, "properties":
{"azureml.promptflow.runtime_name": "automatic", "azureml.promptflow.runtime_version":
"20240116.v1", "azureml.promptflow.definition_file_name": "flow.dag.yaml", "azureml.promptflow.session_id":
"17c09ed8548069d9bd446905de3053ccbf23ff6fa8b7bef7", "azureml.promptflow.flow_lineage_id":
"d840b60c94e02e27c7f8e15df8562a32fd8bd4dfe1f5951f1a01fe8efcf3be8f", "azureml.promptflow.flow_definition_datastore_name":
"workspaceblobstore", "azureml.promptflow.flow_definition_blob_path": "LocalUpload/74854f49405e7ffcddc484d043cf0ef3/code_with_additional_includes/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.snapshot_id":
"f70ec21e-2e5f-4f8a-8877-19d060899638", "azureml.promptflow.total_tokens": "0",
"_azureml.evaluate_artifacts": "[{\"path\": \"instance_results.jsonl\", \"type\":
\"table\"}]"}, "parameters": {}, "actionUris": {}, "scriptName": null, "target":
null, "uniqueChildRunComputeTargets": [], "tags": {}, "settings": {}, "services":
{}, "inputDatasets": [], "outputDatasets": [], "runDefinition": null, "jobSpecification":
null, "primaryMetricName": null, "createdFrom": null, "cancelUri": null, "completeUri":
null, "diagnosticsUri": null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
"azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.061'
http_version: HTTP/1.1
status_code: 200
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/logContent
response:
body:
string: '"2024-01-19 08:11:34 +0000 49 promptflow-runtime INFO [name]
Receiving v2 bulk run request 700358bb-ca8a-4d06-90aa-712a335034e2: {\"flow_id\":
\"name\", \"flow_run_id\": \"name\", \"flow_source\": {\"flow_source_type\":
1, \"flow_source_info\": {\"snapshot_id\": \"f70ec21e-2e5f-4f8a-8877-19d060899638\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-19T07%3A50%3A15Z&ske=2024-01-20T16%3A00%3A15Z&sks=b&skv=2019-07-07&st=2024-01-19T08%3A01%3A33Z&se=2024-01-19T16%3A11%3A33Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/c32a61842e439cecc022ebcff5dc0da4/env_var_names.jsonl\"},
\"azure_storage_setting\": {\"azure_storage_mode\": 1, \"storage_account_name\":
\"promptfloweast4063704120\", \"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/name\", \"blob_container_sas_token\":
\"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-19T08%3A11%3A33Z&ske=2024-01-26T08%3A11%3A33Z&sks=b&skv=2019-07-07&se=2024-01-26T08%3A11%3A33Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-19 08:11:35 +0000 49
promptflow-runtime INFO Runtime version: 20240116.v1. PromptFlow version:
1.4.0rc3\n2024-01-19 08:11:35 +0000 49 promptflow-runtime INFO Updating
name to Status.Preparing...\n2024-01-19 08:11:35 +0000 49 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/45731/requests/name\n2024-01-19
08:11:35 +0000 49 promptflow-runtime INFO Get snapshot sas url for
f70ec21e-2e5f-4f8a-8877-19d060899638.\n2024-01-19 08:11:35 +0000 49 promptflow-runtime
INFO Snapshot f70ec21e-2e5f-4f8a-8877-19d060899638 contains 3 files.\n2024-01-19
08:11:35 +0000 49 promptflow-runtime INFO Download snapshot f70ec21e-2e5f-4f8a-8877-19d060899638
completed.\n2024-01-19 08:11:35 +0000 49 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/45731/requests/name\n2024-01-19
08:11:35 +0000 49 promptflow-runtime INFO About to execute a python
flow.\n2024-01-19 08:11:35 +0000 49 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-19 08:11:35 +0000 49 promptflow-runtime
INFO Starting to check process 388 status for run name\n2024-01-19 08:11:35
+0000 49 promptflow-runtime INFO Start checking run status for run
name\n2024-01-19 08:11:39 +0000 388 promptflow-runtime INFO [49--388]
Start processing flowV2......\n2024-01-19 08:11:39 +0000 388 promptflow-runtime
INFO Runtime version: 20240116.v1. PromptFlow version: 1.4.0rc3\n2024-01-19
08:11:40 +0000 388 promptflow-runtime INFO Setting mlflow tracking
uri...\n2024-01-19 08:11:40 +0000 388 promptflow-runtime INFO Validating
''AzureML Data Scientist'' user authentication...\n2024-01-19 08:11:40 +0000 388
promptflow-runtime INFO Successfully validated ''AzureML Data Scientist''
user authentication.\n2024-01-19 08:11:40 +0000 388 promptflow-runtime
INFO Using AzureMLRunStorageV2\n2024-01-19 08:11:40 +0000 388 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-19
08:11:40 +0000 388 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-19 08:11:40 +0000 388 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-19
08:11:41 +0000 388 promptflow-runtime INFO Resolve data from url finished
in 0.5640277000002243 seconds\n2024-01-19 08:11:41 +0000 388 promptflow-runtime
INFO Starting the aml run ''name''...\n2024-01-19 08:11:41 +0000 388
execution WARNING Starting run without column mapping may lead to
unexpected results. Please consult the following documentation for more information:
https://aka.ms/pf/column-mapping\n2024-01-19 08:11:41 +0000 388 execution.bulk INFO Set
process count to 1 by taking the minimum value among the factors of {''default_worker_count'':
16, ''row_count'': 1}.\n2024-01-19 08:11:41 +0000 429 execution.bulk INFO Process
429 started.\n2024-01-19 08:11:41 +0000 388 execution.bulk INFO Process
name: ForkProcess-4:2, Process id: 429, Line number: 0 start execution.\n2024-01-19
08:11:44 +0000 388 execution.bulk INFO Process name: ForkProcess-4:2,
Process id: 429, Line number: 0 completed.\n2024-01-19 08:11:44 +0000 388
execution.bulk INFO Finished 1 / 1 lines.\n2024-01-19 08:11:44 +0000 388
execution.bulk INFO Average execution time for completed lines: 2.38
seconds. Estimated time for incomplete lines: 0.0 seconds.\n2024-01-19 08:11:45
+0000 388 promptflow-runtime INFO Post processing batch result...\n2024-01-19
08:11:50 +0000 388 execution.bulk INFO Upload status summary metrics
for run name finished in 5.290677923999283 seconds\n2024-01-19 08:11:50 +0000 388
promptflow-runtime INFO Successfully write run properties {\"azureml.promptflow.total_tokens\":
0, \"_azureml.evaluate_artifacts\": \"[{\\\"path\\\": \\\"instance_results.jsonl\\\",
\\\"type\\\": \\\"table\\\"}]\"} with run id ''name''\n2024-01-19 08:11:50
+0000 388 execution.bulk INFO Upload RH properties for run name
finished in 0.08102953700017679 seconds\n2024-01-19 08:11:50 +0000 388
promptflow-runtime INFO Creating unregistered output Asset for Run name...\n2024-01-19
08:11:56 +0000 388 promptflow-runtime INFO Created debug_info Asset:
azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1\n2024-01-19
08:11:56 +0000 388 promptflow-runtime INFO Creating unregistered output
Asset for Run name...\n2024-01-19 08:11:56 +0000 388 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1\n2024-01-19
08:11:56 +0000 388 promptflow-runtime INFO Creating Artifact for Run
name...\n2024-01-19 08:11:56 +0000 388 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-19 08:11:57 +0000 388 promptflow-runtime
INFO Patching name...\n2024-01-19 08:11:57 +0000 388 promptflow-runtime
INFO Ending the aml run ''name'' with status ''Completed''...\n2024-01-19
08:12:41 +0000 49 promptflow-runtime INFO Process 388 finished\n2024-01-19
08:12:41 +0000 49 promptflow-runtime INFO [49] Child process finished!\n2024-01-19
08:12:41 +0000 49 promptflow-runtime INFO [name] End processing bulk
run\n2024-01-19 08:12:41 +0000 49 promptflow-runtime INFO Cleanup
working dir /mnt/host/service/app/45731/requests/name for bulk run\n"'
headers:
connection:
- keep-alive
content-length:
- '8472'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.467'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_bulk_from_yaml.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.030'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.134'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.091'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.121'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:14:42 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/webClassification1.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '127'
content-md5:
- i/8q1x5YKzHv3Fd/R8lYUQ==
content-type:
- application/octet-stream
last-modified:
- Fri, 28 Jul 2023 12:34:52 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 28 Jul 2023 12:34:52 GMT
x-ms-meta-name:
- 13fa99dd-c98e-4f2a-a704-4295d4ed6f68
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 0367c5c6-9f53-4a75-8623-7e53699f0d0b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:14:43 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/webClassification1.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.133'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.083'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:14:46 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '853'
content-md5:
- ylTeNqjvuOvtzEZJ/X5n3A==
content-type:
- application/octet-stream
last-modified:
- Fri, 12 Jan 2024 08:13:57 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Fri, 12 Jan 2024 08:13:56 GMT
x-ms-meta-name:
- 950201e8-c52c-4b15-ada1-5e58de9b2f4d
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Fri, 12 Jan 2024 08:14:47 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/web_classification/classify_with_llm.jinja2
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/web_classification/flow.dag.yaml",
"runId": "run_id", "runDisplayName": "run_id", "runExperimentName": "", "nodeVariant":
"${summarize_text_content.variant_0}", "batchDataInput": {"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/webClassification1.jsonl"},
"inputsMapping": {"url": "${data.url}"}, "connections": {}, "environmentVariables":
{"FOO": "BAR"}, "runtimeName": "fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '885'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"run_id"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.556'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/run_id
response:
body:
string: '{"flowGraph": {"nodes": [{"name": "fetch_text_content_from_url", "type":
"python", "source": {"type": "code", "path": "fetch_text_content_from_url.py"},
"inputs": {"fetch_url": "${inputs.url}"}, "tool": "fetch_text_content_from_url.py",
"reduce": false}, {"name": "prepare_examples", "type": "python", "source":
{"type": "code", "path": "prepare_examples.py"}, "inputs": {}, "tool": "prepare_examples.py",
"reduce": false}, {"name": "classify_with_llm", "type": "llm", "source": {"type":
"code", "path": "classify_with_llm.jinja2"}, "inputs": {"deployment_name":
"gpt-35-turbo", "suffix": "", "max_tokens": "128", "temperature": "0.1", "top_p":
"1.0", "logprobs": "", "echo": "False", "stop": "", "presence_penalty": "0",
"frequency_penalty": "0", "best_of": "1", "logit_bias": "", "url": "${inputs.url}",
"examples": "${prepare_examples.output}", "text_content": "${summarize_text_content.output}"},
"tool": "classify_with_llm.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"},
{"name": "convert_to_dict", "type": "python", "source": {"type": "code", "path":
"convert_to_dict.py"}, "inputs": {"input_str": "${classify_with_llm.output}"},
"tool": "convert_to_dict.py", "reduce": false}, {"name": "summarize_text_content",
"type": "llm", "source": {"type": "code", "path": "summarize_text_content.jinja2"},
"inputs": {"deployment_name": "gpt-35-turbo", "suffix": "", "max_tokens":
"128", "temperature": "0.2", "top_p": "1.0", "logprobs": "", "echo": "False",
"stop": "", "presence_penalty": "0", "frequency_penalty": "0", "best_of":
"1", "logit_bias": "", "text": "${fetch_text_content_from_url.output}"}, "tool":
"summarize_text_content.jinja2", "reduce": false, "api": "chat", "provider":
"AzureOpenAI", "connection": "azure_open_ai_connection", "module": "promptflow.tools.aoai"}],
"tools": [{"name": "Content Safety (Text Analyze)", "type": "python", "inputs":
{"connection": {"type": ["AzureContentSafetyConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "hate_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "self_harm_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "sexual_category":
{"type": ["string"], "default": "medium_sensitivity", "enum": ["disable",
"low_sensitivity", "medium_sensitivity", "high_sensitivity"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text": {"type":
["string"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "violence_category": {"type": ["string"], "default": "medium_sensitivity",
"enum": ["disable", "low_sensitivity", "medium_sensitivity", "high_sensitivity"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"description": "Use Azure Content Safety to detect harmful content.", "module":
"promptflow.tools.azure_content_safety", "function": "analyze_text", "is_builtin":
true, "package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "deprecated_tools": ["content_safety_text.tools.content_safety_text_tool.analyze_text"],
"tool_state": "stable"}, {"name": "Embedding", "type": "python", "inputs":
{"connection": {"type": ["AzureOpenAIConnection", "OpenAIConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "deployment_name":
{"type": ["string"], "enabled_by": "connection", "enabled_by_type": ["AzureOpenAIConnection"],
"model_list": ["text-embedding-ada-002", "text-search-ada-doc-001", "text-search-ada-query-001"],
"capabilities": {"completion": false, "chat_completion": false, "embeddings":
true}, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "input": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model": {"type": ["string"], "enum": ["text-embedding-ada-002",
"text-search-ada-doc-001", "text-search-ada-query-001"], "enabled_by": "connection",
"enabled_by_type": ["OpenAIConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Open AI''s embedding
model to create an embedding vector representing the input text.", "module":
"promptflow.tools.embedding", "function": "embedding", "is_builtin": true,
"package": "promptflow-tools", "package_version": "0.0.216", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Open Source LLM", "type": "custom_llm",
"inputs": {"api": {"type": ["string"], "enum": ["chat", "completion"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CustomConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "deployment_name": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "endpoint_name":
{"type": ["string"], "default": "-- please enter an endpoint name --", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_new_tokens":
{"type": ["int"], "default": 500, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "model_kwargs": {"type": ["object"], "default":
"{}", "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default", "advanced": true}, "temperature": {"type": ["double"], "default":
1.0, "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "top_p": {"type": ["double"], "default": 1.0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default", "advanced": true}},
"description": "Use an Open Source model from the Azure Model catalog, deployed
to an AzureML Online Endpoint for LLM Chat or Completion API calls.", "module":
"promptflow.tools.open_source_llm", "class_name": "OpenSourceLLM", "function":
"call", "icon": "data:image/png;base64,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",
"is_builtin": true, "package": "promptflow-tools", "package_version": "0.0.216",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "OpenAI GPT-4V",
"type": "custom_llm", "inputs": {"connection": {"type": ["OpenAIConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"frequency_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "max_tokens": {"type":
["int"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "model": {"type": ["string"], "enum": ["gpt-4-vision-preview"],
"allow_manual_entry": true, "is_multi_select": false, "input_type": "default"},
"presence_penalty": {"type": ["double"], "default": 0, "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "stop": {"type":
["list"], "default": "", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "temperature": {"type": ["double"], "default": 1,
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"top_p": {"type": ["double"], "default": 1, "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use OpenAI GPT-4V to leverage
vision ability.", "module": "promptflow.tools.openai_gpt4v", "class_name":
"OpenAI", "function": "chat", "is_builtin": true, "package": "promptflow-tools",
"package_version": "0.0.216", "default_prompt": "# system:\nAs an AI assistant,
your task involves interpreting images and responding to questions about the
image.\nRemember to provide accurate answers based on the information present
in the image.\n\n# user:\nCan you tell me what the image depicts?\n\n",
"enable_kwargs": false, "tool_state": "stable"}, {"name": "Serp API", "type":
"python", "inputs": {"connection": {"type": ["SerpConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "engine": {"type":
["string"], "default": "google", "enum": ["google", "bing"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "location": {"type":
["string"], "default": "", "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "num": {"type": ["int"], "default": "10",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"query": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "safe": {"type": ["string"], "default": "off",
"enum": ["active", "off"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Use Serp API to obtain search
results from a specific search engine.", "module": "promptflow.tools.serpapi",
"class_name": "SerpAPI", "function": "search", "is_builtin": true, "package":
"promptflow-tools", "package_version": "0.0.216", "enable_kwargs": false,
"tool_state": "stable"}, {"name": "Faiss Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "top_k": {"type": ["int"], "default": "3",
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"vector": {"type": ["list"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}}, "description": "Search vector based query
from the FAISS index file.", "module": "promptflow_vectordb.tool.faiss_index_lookup",
"class_name": "FaissIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector DB Lookup", "type": "python",
"inputs": {"class_name": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["WeaviateConnection"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "collection_name": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["QdrantConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "connection": {"type":
["CognitiveSearchConnection", "QdrantConnection", "WeaviateConnection"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "index_name": {"type":
["string"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"},
"search_filters": {"type": ["object"], "enabled_by": "connection", "enabled_by_type":
["CognitiveSearchConnection", "QdrantConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}, "search_params": {"type":
["object"], "enabled_by": "connection", "enabled_by_type": ["CognitiveSearchConnection",
"QdrantConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "text_field": {"type": ["string"], "enabled_by":
"connection", "enabled_by_type": ["CognitiveSearchConnection", "QdrantConnection",
"WeaviateConnection"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "top_k": {"type": ["int"], "default": "3", "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "vector": {"type":
["list"], "allow_manual_entry": false, "is_multi_select": false, "input_type":
"default"}, "vector_field": {"type": ["string"], "enabled_by": "connection",
"enabled_by_type": ["CognitiveSearchConnection"], "allow_manual_entry": false,
"is_multi_select": false, "input_type": "default"}}, "description": "Search
vector based query from existing Vector Database.", "module": "promptflow_vectordb.tool.vector_db_lookup",
"class_name": "VectorDBLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "Vector Index Lookup", "type": "python",
"inputs": {"path": {"type": ["string"], "allow_manual_entry": false, "is_multi_select":
false, "input_type": "default"}, "query": {"type": ["object"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "top_k": {"type":
["int"], "default": "3", "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "description": "Search text or vector based query
from AzureML Vector Index.", "module": "promptflow_vectordb.tool.vector_index_lookup",
"class_name": "VectorIndexLookup", "function": "search", "is_builtin": true,
"package": "promptflow-vectordb", "package_version": "0.0.1", "enable_kwargs":
false, "tool_state": "stable"}, {"name": "classify_with_llm.jinja2", "type":
"prompt", "inputs": {"examples": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}, "text_content":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}, "url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "classify_with_llm.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"convert_to_dict.py", "type": "python", "inputs": {"input_str": {"type": ["string"],
"allow_manual_entry": false, "is_multi_select": false, "input_type": "default"}},
"source": "convert_to_dict.py", "function": "convert_to_dict", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "fetch_text_content_from_url.py",
"type": "python", "inputs": {"fetch_url": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "fetch_text_content_from_url.py",
"function": "fetch_text_content_from_url", "is_builtin": false, "enable_kwargs":
false, "tool_state": "stable"}, {"name": "prepare_examples.py", "type": "python",
"source": "prepare_examples.py", "function": "prepare_examples", "is_builtin":
false, "enable_kwargs": false, "tool_state": "stable"}, {"name": "summarize_text_content.jinja2",
"type": "prompt", "inputs": {"text": {"type": ["string"], "allow_manual_entry":
false, "is_multi_select": false, "input_type": "default"}}, "source": "summarize_text_content.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}, {"name":
"summarize_text_content__variant_1.jinja2", "type": "prompt", "inputs": {"text":
{"type": ["string"], "allow_manual_entry": false, "is_multi_select": false,
"input_type": "default"}}, "source": "summarize_text_content__variant_1.jinja2",
"is_builtin": false, "enable_kwargs": false, "tool_state": "stable"}], "inputs":
{"url": {"type": "string", "default": "https://www.microsoft.com/en-us/d/xbox-wireless-controller-stellar-shift-special-edition/94fbjc7h0h6h",
"is_chat_input": false}}, "outputs": {"category": {"type": "string", "reference":
"${convert_to_dict.output.category}", "evaluation_only": false, "is_chat_output":
false}, "evidence": {"type": "string", "reference": "${convert_to_dict.output.evidence}",
"evaluation_only": false, "is_chat_output": false}}}, "flowRunResourceId":
"azureml://locations/eastus/workspaces/00000/flows/run_id/flowRuns/run_id",
"flowRunId": "run_id", "flowRunDisplayName": "run_id", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/107bd3498e44deb2dccc53d2208d32b2/webClassification1.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "test-runtime-ci",
"inputsMapping": {"url": "${data.url}"}, "outputDatastoreName": "workspaceblobstore",
"childRunBasePath": "promptflow/PromptFlowArtifacts/run_id/flow_artifacts",
"flowDagFileRelativePath": "flow.dag.yaml", "flowSnapshotId": "4ef5688d-1333-4fa9-a970-d4bde04b2308",
"studioPortalEndpoint": "https://ml.azure.com/runs/run_id?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '16239'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.373'
status:
code: 200
message: OK
- request:
body: '{"runId": "run_id", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1705047293, "rootRunId": "run_id", "createdUtc":
"2024-01-12T08:14:53.9104186+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "userId": "00000000-0000-0000-0000-000000000000", "token": null,
"tokenExpiryTimeUtc": null, "error": null, "warnings": null, "revision": 3,
"statusRevision": 1, "runUuid": "5168fe55-9768-47a5-a07c-a0bad5bdf298", "parentRunUuid":
null, "rootRunUuid": "5168fe55-9768-47a5-a07c-a0bad5bdf298", "lastStartTimeUtc":
null, "currentComputeTime": "00:00:00", "computeDuration": null, "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": null, "userIdp": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userAltSecId": null, "userIss": "https://sts.windows.net/00000000-0000-0000-0000-000000000000/",
"userTenantId": "00000000-0000-0000-0000-000000000000", "userName": "4cbd0e2e-aae4-4099-b4ba-94d3a4910587",
"upn": null}, "lastModifiedUtc": "2024-01-12T08:14:57.9400389+00:00", "duration":
null, "cancelationReason": null, "currentAttemptId": 1, "runId": "run_id",
"parentRunId": null, "experimentId": "d30efbeb-f81d-4cfa-b5cc-a0570a049009",
"status": "Preparing", "startTimeUtc": null, "endTimeUtc": null, "scheduleId":
null, "displayName": "run_id", "name": null, "dataContainerId": "dcid.run_id",
"description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": "AmlcDsi"}, "properties": {"azureml.promptflow.runtime_name":
"test-runtime-ci", "azureml.promptflow.runtime_version": "20231204.v4", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.session_id": "4dd8f4d5f44dfeb817d3438cf84bd739215d87afd9458597",
"azureml.promptflow.flow_lineage_id": "af1a6951de9be2ce13d3b58b23dbd8b6a0cd8fd4918ad9cb22b28fb8395fbcb0",
"azureml.promptflow.node_variant": "${summarize_text_content.variant_0}",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/a1fa6ef1ead7ff3ce76b36250f6f5461/web_classification/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/107bd3498e44deb2dccc53d2208d32b2/webClassification1.jsonl",
"azureml.promptflow.inputs_mapping": "{\"url\":\"${data.url}\"}", "_azureml.evaluation_run":
"promptflow.BatchRun", "azureml.promptflow.snapshot_id": "4ef5688d-1333-4fa9-a970-d4bde04b2308"},
"parameters": {}, "actionUris": {}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets":
[], "tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": null}, "runDefinition":
null, "jobSpecification": null, "systemSettings": null}'
headers:
connection:
- keep-alive
content-length:
- '4011'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.097'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_run_data_not_provided.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.029'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.058'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_telemetry_TestTelemetry_test_sdk_telemetry_ua.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 prompt-flow-extension/1.0.0 promptflow/0.0.1 azure-ai-ml/1.12.0
azsdk-python-mgmt-machinelearningservices/0.1.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/api-version=2023-08-01-preview
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.025'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 prompt-flow-extension/1.0.0 promptflow/0.0.1 azure-ai-ml/1.12.0
azsdk-python-mgmt-machinelearningservices/0.1.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?api-version=2023-04-01-preview&count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.100'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 prompt-flow-extension/1.0.0 promptflow/0.0.1 azure-ai-ml/1.12.0
azsdk-python-mgmt-machinelearningservices/0.1.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/api-version=2023-08-01-preview
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.022'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 prompt-flow-extension/1.0.0 promptflow/0.0.1 azure-ai-ml/1.12.0
azsdk-python-mgmt-machinelearningservices/0.1.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?api-version=2023-04-01-preview&count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.067'
status:
code: 200
message: OK
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_flow_id_in_submission.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.049'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.089'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.085'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.112'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Wed, 29 Nov 2023 09:04:16 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '49'
content-md5:
- quXiEreYvPinSj0HsaNa/g==
content-type:
- application/octet-stream
last-modified:
- Wed, 08 Nov 2023 04:26:09 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Wed, 08 Nov 2023 04:26:09 GMT
x-ms-meta-name:
- c4092674-5e53-4c17-b78d-75353ae0edb6
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 579021dc-8ac8-4c73-8110-4642bd00c69b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Wed, 29 Nov 2023 09:04:17 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.087'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.148'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Wed, 29 Nov 2023 09:04:20 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '245'
content-md5:
- F+JA0a3CxcLYZ0ANRdlZbA==
content-type:
- application/octet-stream
last-modified:
- Wed, 29 Nov 2023 02:51:35 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 17 Aug 2023 10:30:09 GMT
x-ms-meta-name:
- 56efdd28-6297-4baa-aad3-be46f4b768a2
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Wed, 29 Nov 2023 09:04:21 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.091'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.110'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Wed, 29 Nov 2023 09:04:25 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '49'
content-md5:
- quXiEreYvPinSj0HsaNa/g==
content-type:
- application/octet-stream
last-modified:
- Wed, 08 Nov 2023 04:26:09 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Wed, 08 Nov 2023 04:26:09 GMT
x-ms-meta-name:
- c4092674-5e53-4c17-b78d-75353ae0edb6
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 579021dc-8ac8-4c73-8110-4642bd00c69b
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Wed, 29 Nov 2023 09:04:27 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/env_var_names.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
vary:
- Accept-Encoding
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.105'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 promptflow/0.0.1 azure-ai-ml/1.12.1 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.10.13 (Windows-10-10.0.22631-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
x-cache:
- CONFIG_NOCACHE
x-content-type-options:
- nosniff
x-request-time:
- '0.090'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Wed, 29 Nov 2023 09:04:30 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '245'
content-md5:
- F+JA0a3CxcLYZ0ANRdlZbA==
content-type:
- application/octet-stream
last-modified:
- Wed, 29 Nov 2023 02:51:35 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 17 Aug 2023 10:30:09 GMT
x-ms-meta-name:
- 56efdd28-6297-4baa-aad3-be46f4b768a2
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.10.13 (Windows-10-10.0.22631-SP0)
x-ms-date:
- Wed, 29 Nov 2023 09:04:31 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/print_env_var/flow.dag.yaml
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
version: 1
| 0 |
promptflow_repo/promptflow/src/promptflow/tests/test_configs | promptflow_repo/promptflow/src/promptflow/tests/test_configs/recordings/test_run_operations_TestFlowRun_test_eager_flow_crud.yaml | interactions:
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000",
"name": "00000", "type": "Microsoft.MachineLearningServices/workspaces", "location":
"eastus", "tags": {}, "etag": null, "kind": "Default", "sku": {"name": "Basic",
"tier": "Basic"}, "properties": {"discoveryUrl": "https://eastus.api.azureml.ms/discovery"}}'
headers:
cache-control:
- no-cache
content-length:
- '3630'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.046'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores?count=30&isDefault=true&orderByAsc=false
response:
body:
string: '{"value": [{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}]}'
headers:
cache-control:
- no-cache
content-length:
- '1372'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.085'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.122'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.145'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:06:13 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/simple_eager_flow_data.jsonl
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '25'
content-md5:
- zt1zN1V/HR5p7N0Sh5396w==
content-type:
- application/octet-stream
last-modified:
- Tue, 23 Jan 2024 06:27:00 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Tue, 23 Jan 2024 06:26:59 GMT
x-ms-meta-name:
- 1e376ce4-7c3b-4683-82ad-412f5cd23626
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- 7e65351c-7e4b-4a4d-90f8-304eacdc36bc
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:06:16 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/simple_eager_flow_data.jsonl
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore
response:
body:
string: '{"id": "/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore",
"name": "workspaceblobstore", "type": "Microsoft.MachineLearningServices/workspaces/datastores",
"properties": {"description": null, "tags": null, "properties": null, "isDefault":
true, "credentials": {"credentialsType": "AccountKey"}, "intellectualProperty":
null, "subscriptionId": "00000000-0000-0000-0000-000000000000", "resourceGroup":
"00000", "datastoreType": "AzureBlob", "accountName": "fake_account_name",
"containerName": "fake-container-name", "endpoint": "core.windows.net", "protocol":
"https", "serviceDataAccessAuthIdentity": "WorkspaceSystemAssignedIdentity"},
"systemData": {"createdAt": "2023-04-08T02:53:06.5886442+00:00", "createdBy":
"779301c0-18b2-4cdc-801b-a0a3368fee0a", "createdByType": "Application", "lastModifiedAt":
"2023-04-08T02:53:07.521127+00:00", "lastModifiedBy": "779301c0-18b2-4cdc-801b-a0a3368fee0a",
"lastModifiedByType": "Application"}}'
headers:
cache-control:
- no-cache
content-length:
- '1227'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding,Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.136'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '0'
User-Agent:
- promptflow-sdk/0.0.1 azure-ai-ml/1.12.0 azsdk-python-mgmt-machinelearningservices/0.1.0
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://management.azure.com/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/datastores/workspaceblobstore/listSecrets
response:
body:
string: '{"secretsType": "AccountKey", "key": "dGhpcyBpcyBmYWtlIGtleQ=="}'
headers:
cache-control:
- no-cache
content-length:
- '134'
content-type:
- application/json; charset=utf-8
expires:
- '-1'
pragma:
- no-cache
strict-transport-security:
- max-age=31536000; includeSubDomains
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.116'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:06:19 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/LocalUpload/000000000000000000000000000000000000/simple_with_req/entry.py
response:
body:
string: ''
headers:
accept-ranges:
- bytes
content-length:
- '331'
content-md5:
- bf0G3F/eNgZO8UPfGebSUQ==
content-type:
- application/octet-stream
last-modified:
- Thu, 25 Jan 2024 08:57:55 GMT
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
vary:
- Origin
x-ms-blob-type:
- BlockBlob
x-ms-creation-time:
- Thu, 25 Jan 2024 08:57:54 GMT
x-ms-meta-name:
- c42d946f-2978-4455-8a89-b768c66a9277
x-ms-meta-upload_status:
- completed
x-ms-meta-version:
- '1'
x-ms-version:
- '2023-11-03'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/xml
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- azsdk-python-storage-blob/12.19.0 Python/3.11.5 (Windows-10-10.0.22621-SP0)
x-ms-date:
- Thu, 25 Jan 2024 09:06:23 GMT
x-ms-version:
- '2023-11-03'
method: HEAD
uri: https://fake_account_name.blob.core.windows.net/fake-container-name/az-ml-artifacts/000000000000000000000000000000000000/simple_with_req/entry.py
response:
body:
string: ''
headers:
server:
- Windows-Azure-Blob/1.0 Microsoft-HTTPAPI/2.0
transfer-encoding:
- chunked
vary:
- Origin
x-ms-error-code:
- BlobNotFound
x-ms-version:
- '2023-11-03'
status:
code: 404
message: The specified blob does not exist.
- request:
body: '{"flowDefinitionDataStoreName": "workspaceblobstore", "flowDefinitionBlobPath":
"LocalUpload/000000000000000000000000000000000000/simple_with_req/flow.dag.yaml",
"runId": "name", "runDisplayName": "name", "runExperimentName": "", "batchDataInput":
{"dataUri": "azureml://datastores/workspaceblobstore/paths/LocalUpload/000000000000000000000000000000000000/simple_eager_flow_data.jsonl"},
"inputsMapping": {}, "connections": {}, "environmentVariables": {}, "runtimeName":
"fake-runtime-name", "sessionId": "000000000000000000000000000000000000000000000000",
"sessionSetupMode": "SystemWait", "flowLineageId": "0000000000000000000000000000000000000000000000000000000000000000",
"runDisplayNameGenerationType": "UserProvidedMacro"}'
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '791'
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: POST
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/submit
response:
body:
string: '"name"'
headers:
connection:
- keep-alive
content-length:
- '38'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '6.962'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.256'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.369'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.195'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.154'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.413'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/childRuns?endIndex=24&startIndex=0
response:
body:
string: '[{"run_id": "name_0", "status": "Completed", "error": null, "inputs":
{"input_val": "input1"}, "output": {"output": "Hello world! input1"}, "metrics":
null, "request": null, "parent_run_id": "name", "root_run_id": "name", "source_run_id":
null, "flow_id": "default_flow_id", "start_time": "2024-01-25T09:06:53.027652Z",
"end_time": "2024-01-25T09:06:53.029602Z", "index": 0, "api_calls": [{"name":
"my_flow", "type": "Function", "inputs": {"input_val": "input1"}, "output":
"Hello world! input1", "start_time": 1706173613.028362, "end_time": 1706173613.029179,
"error": null, "children": [], "node_name": null, "parent_id": "", "id": "8f02508e-dc43-4e37-a697-78946dcf2c03"}],
"variant_id": "", "name": "", "description": "", "tags": null, "system_metrics":
{"duration": 0.00195}, "result": {"output": "Hello world! input1"}, "upload_metrics":
false}]'
headers:
connection:
- keep-alive
content-length:
- '877'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.905'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/childRuns?endIndex=49&startIndex=25
response:
body:
string: '[]'
headers:
connection:
- keep-alive
content-length:
- '2'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
x-content-type-options:
- nosniff
x-request-time:
- '0.675'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name
response:
body:
string: '{"flowRunResourceId": "azureml://locations/eastus/workspaces/00000/flows/name/flowRuns/name",
"flowRunId": "name", "flowRunDisplayName": "name", "batchDataInput": {"dataUri":
"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl"},
"flowRunType": "FlowRun", "flowType": "Default", "runtimeName": "automatic",
"inputsMapping": {}, "outputDatastoreName": "workspaceblobstore", "childRunBasePath":
"promptflow/PromptFlowArtifacts/name/flow_artifacts", "flowDagFileRelativePath":
"flow.dag.yaml", "flowSnapshotId": "d06599ce-0829-42a7-a641-370cd112bc25",
"studioPortalEndpoint": "https://ml.azure.com/runs/name?wsid=/subscriptions/00000000-0000-0000-0000-000000000000/resourcegroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000"}'
headers:
connection:
- keep-alive
content-length:
- '1028'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.417'
status:
code: 200
message: OK
- request:
body: '{}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '2'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/metric/v2.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/runs/name/lastvalues
response:
body:
string: '{"value": [{"dataContainerId": "dcid.name", "name": "__pf__.lines.completed",
"columns": {"__pf__.lines.completed": "Double"}, "properties": {"uxMetricType":
"azureml.v1.scalar", "dataLocation": null}, "namespace": null, "standardSchemaId":
null, "value": [{"metricId": "3b56e572-949e-4cdf-9691-3fd55fe5470a", "createdUtc":
"2024-01-25T09:06:55.178+00:00", "step": 0, "data": {"__pf__.lines.completed":
1.0}}]}, {"dataContainerId": "dcid.name", "name": "__pf__.lines.failed", "columns":
{"__pf__.lines.failed": "Double"}, "properties": {"uxMetricType": "azureml.v1.scalar",
"dataLocation": null}, "namespace": null, "standardSchemaId": null, "value":
[{"metricId": "1b966973-ccb1-450f-82d8-cf17745b01b3", "createdUtc": "2024-01-25T09:06:55.662+00:00",
"step": 0, "data": {"__pf__.lines.failed": 0.0}}]}]}'
headers:
connection:
- keep-alive
content-length:
- '1240'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '1.547'
status:
code: 200
message: OK
- request:
body: '{"runId": "name", "selectRunMetadata": true, "selectRunDefinition": true,
"selectJobSpecification": true}'
headers:
Accept:
- '*/*'
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Length:
- '137'
Content-Type:
- application/json
User-Agent:
- python-requests/2.31.0
method: POST
uri: https://eastus.api.azureml.ms/history/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/rundata
response:
body:
string: '{"runMetadata": {"runNumber": 1706173599, "rootRunId": "name", "createdUtc":
"2024-01-25T09:06:39.0044382+00:00", "createdBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": "100320005227D154", "userIdp": null, "userAltSecId": null, "userIss":
"https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "Han Wang", "upn": null},
"userId": "00000000-0000-0000-0000-000000000000", "token": null, "tokenExpiryTimeUtc":
null, "error": null, "warnings": null, "revision": 6, "statusRevision": 3,
"runUuid": "7db32729-6b4a-426b-9d8a-daf8cf60ba28", "parentRunUuid": null,
"rootRunUuid": "7db32729-6b4a-426b-9d8a-daf8cf60ba28", "lastStartTimeUtc":
null, "currentComputeTime": null, "computeDuration": "00:00:08.3010965", "effectiveStartTimeUtc":
null, "lastModifiedBy": {"userObjectId": "00000000-0000-0000-0000-000000000000",
"userPuId": "100320005227D154", "userIdp": null, "userAltSecId": null, "userIss":
"https://sts.windows.net/00000000-0000-0000-0000-000000000000/", "userTenantId":
"00000000-0000-0000-0000-000000000000", "userName": "Han Wang", "upn": "[email protected]"},
"lastModifiedUtc": "2024-01-25T09:06:56.1006972+00:00", "duration": "00:00:08.3010965",
"cancelationReason": null, "currentAttemptId": 1, "runId": "name", "parentRunId":
null, "experimentId": "64465848-e4a8-42a2-a617-d7f0fcda6f32", "status": "Completed",
"startTimeUtc": "2024-01-25T09:06:48.6457164+00:00", "endTimeUtc": "2024-01-25T09:06:56.9468129+00:00",
"scheduleId": null, "displayName": "name", "name": null, "dataContainerId":
"dcid.name", "description": null, "hidden": false, "runType": "azureml.promptflow.FlowRun",
"runTypeV2": {"orchestrator": null, "traits": [], "attribution": "PromptFlow",
"computeType": null}, "properties": {"azureml.promptflow.runtime_name": "automatic",
"azureml.promptflow.runtime_version": "20240116.v1", "azureml.promptflow.definition_file_name":
"flow.dag.yaml", "azureml.promptflow.flow_lineage_id": "63d67b0b61e34b0527b5f3c46dfc953854138b2ffebc68175580285dc2d95663",
"azureml.promptflow.flow_definition_datastore_name": "workspaceblobstore",
"azureml.promptflow.flow_definition_blob_path": "LocalUpload/79819672296a1785a95c65c8c0e75b0d/simple_with_req/flow.dag.yaml",
"azureml.promptflow.input_data": "azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl",
"_azureml.evaluation_run": "promptflow.BatchRun", "azureml.promptflow.session_id":
"b905697d9d04e1b8c87c12d30eb37326380d5cfeb7d0500e", "azureml.promptflow.snapshot_id":
"d06599ce-0829-42a7-a641-370cd112bc25", "azureml.promptflow.run_mode": "Eager",
"azureml.promptflow.total_tokens": "0", "_azureml.evaluate_artifacts": "[{\"path\":
\"instance_results.jsonl\", \"type\": \"table\"}]"}, "parameters": {}, "actionUris":
{}, "scriptName": null, "target": null, "uniqueChildRunComputeTargets": [],
"tags": {}, "settings": {}, "services": {}, "inputDatasets": [], "outputDatasets":
[], "runDefinition": null, "jobSpecification": null, "primaryMetricName":
null, "createdFrom": null, "cancelUri": null, "completeUri": null, "diagnosticsUri":
null, "computeRequest": null, "compute": null, "retainForLifetimeOfWorkspace":
false, "queueingInfo": null, "inputs": null, "outputs": {"debug_info": {"assetId":
"azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1",
"type": "UriFolder"}, "flow_outputs": {"assetId": "azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1",
"type": "UriFolder"}}}, "runDefinition": null, "jobSpecification": null, "systemSettings":
null}'
headers:
connection:
- keep-alive
content-length:
- '4485'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.030'
status:
code: 200
message: OK
- request:
body: null
headers:
Accept:
- application/json
Accept-Encoding:
- gzip, deflate
Connection:
- keep-alive
Content-Type:
- application/json
User-Agent:
- promptflow-sdk/0.0.1 azsdk-python-azuremachinelearningdesignerserviceclient/unknown
Python/3.11.5 (Windows-10-10.0.22621-SP0)
method: GET
uri: https://eastus.api.azureml.ms/flow/api/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/00000/BulkRuns/name/logContent
response:
body:
string: '"2024-01-25 09:06:42 +0000 162 promptflow-runtime INFO [name]
Receiving v2 bulk run request 393a559d-2afa-4415-ae87-b7ec7966ab02: {\"flow_id\":
\"name\", \"flow_run_id\": \"name\", \"flow_source\": {\"flow_source_type\":
1, \"flow_source_info\": {\"snapshot_id\": \"d06599ce-0829-42a7-a641-370cd112bc25\"},
\"flow_dag_file\": \"flow.dag.yaml\"}, \"log_path\": \"https://promptfloweast4063704120.blob.core.windows.net/azureml/ExperimentRun/dcid.name/logs/azureml/executionlogs.txt?sv=2019-07-07&sr=b&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-25T08%3A48%3A12Z&ske=2024-01-26T16%3A58%3A12Z&sks=b&skv=2019-07-07&st=2024-01-25T08%3A56%3A40Z&se=2024-01-25T17%3A06%3A40Z&sp=rcw\",
\"app_insights_instrumentation_key\": \"InstrumentationKey=**data_scrubbed**;IngestionEndpoint=https://eastus-6.in.applicationinsights.azure.com/;LiveEndpoint=https://eastus.livediagnostics.monitor.azure.com/\",
\"data_inputs\": {\"data\": \"azureml://datastores/workspaceblobstore/paths/LocalUpload/e62bc4d5a164939b21d42dd420469da7/simple_eager_flow_data.jsonl\"},
\"azure_storage_setting\": {\"azure_storage_mode\": 1, \"storage_account_name\":
\"promptfloweast4063704120\", \"blob_container_name\": \"azureml-blobstore-3e123da1-f9a5-4c91-9234-8d9ffbb39ff5\",
\"flow_artifacts_root_path\": \"promptflow/PromptFlowArtifacts/name\", \"blob_container_sas_token\":
\"?sv=2019-07-07&sr=c&sig=**data_scrubbed**&skoid=55b92eba-d7c7-4afd-ab76-7bb1cd345283&sktid=00000000-0000-0000-0000-000000000000&skt=2024-01-25T09%3A06%3A40Z&ske=2024-02-01T09%3A06%3A40Z&sks=b&skv=2019-07-07&se=2024-02-01T09%3A06%3A40Z&sp=racwl\",
\"output_datastore_name\": \"workspaceblobstore\"}}\n2024-01-25 09:06:42 +0000 162
promptflow-runtime INFO Runtime version: 20240116.v1. PromptFlow version:
0.0.116642424\n2024-01-25 09:06:42 +0000 162 promptflow-runtime INFO Updating
name to Status.Preparing...\n2024-01-25 09:06:42 +0000 162 promptflow-runtime
INFO Downloading snapshot to /mnt/host/service/app/42871/requests/name\n2024-01-25
09:06:42 +0000 162 promptflow-runtime INFO Get snapshot sas url for
d06599ce-0829-42a7-a641-370cd112bc25.\n2024-01-25 09:06:42 +0000 162 promptflow-runtime
INFO Snapshot d06599ce-0829-42a7-a641-370cd112bc25 contains 3 files.\n2024-01-25
09:06:42 +0000 162 promptflow-runtime INFO Download snapshot d06599ce-0829-42a7-a641-370cd112bc25
completed.\n2024-01-25 09:06:42 +0000 162 promptflow-runtime INFO Successfully
download snapshot to /mnt/host/service/app/42871/requests/name\n2024-01-25
09:06:42 +0000 162 promptflow-runtime INFO About to execute a python
flow.\n2024-01-25 09:06:42 +0000 162 promptflow-runtime INFO Use spawn
method to start child process.\n2024-01-25 09:06:42 +0000 162 promptflow-runtime
INFO Starting to check process 305 status for run name\n2024-01-25 09:06:43
+0000 162 promptflow-runtime INFO Start checking run status for run
name\n2024-01-25 09:06:47 +0000 305 promptflow-runtime INFO [162--305]
Start processing flowV2......\n2024-01-25 09:06:47 +0000 305 promptflow-runtime
INFO Runtime version: 20240116.v1. PromptFlow version: 0.0.116642424\n2024-01-25
09:06:47 +0000 305 promptflow-runtime INFO Setting mlflow tracking
uri...\n2024-01-25 09:06:47 +0000 305 promptflow-runtime INFO Validating
''AzureML Data Scientist'' user authentication...\n2024-01-25 09:06:47 +0000 305
promptflow-runtime INFO Successfully validated ''AzureML Data Scientist''
user authentication.\n2024-01-25 09:06:47 +0000 305 promptflow-runtime
INFO Using AzureMLRunStorageV2\n2024-01-25 09:06:47 +0000 305 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-25
09:06:47 +0000 305 promptflow-runtime INFO Initialized blob service
client for AzureMLRunTracker.\n2024-01-25 09:06:47 +0000 305 promptflow-runtime
INFO Setting mlflow tracking uri to ''azureml://eastus.api.azureml.ms/mlflow/v1.0/subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/00000/providers/Microsoft.MachineLearningServices/workspaces/promptflow-eastus''\n2024-01-25
09:06:48 +0000 305 promptflow-runtime INFO Resolve data from url finished
in 0.603015494000033 seconds\n2024-01-25 09:06:48 +0000 305 promptflow-runtime
INFO Starting the aml run ''name''...\n2024-01-25 09:06:48 +0000 305
execution WARNING Starting run without column mapping may lead to
unexpected results. Please consult the following documentation for more information:
https://aka.ms/pf/column-mapping\n2024-01-25 09:06:48 +0000 305 execution.bulk INFO Set
process count to 1 by taking the minimum value among the factors of {''default_worker_count'':
4, ''row_count'': 1}.\n2024-01-25 09:06:52 +0000 305 execution.bulk INFO Process
name(ForkProcess-2:2:1)-Process id(375)-Line number(0) start execution.\n2024-01-25
09:06:53 +0000 305 execution.bulk INFO Process name(ForkProcess-2:2:1)-Process
id(375)-Line number(0) completed.\n2024-01-25 09:06:53 +0000 305 execution.bulk INFO Finished
1 / 1 lines.\n2024-01-25 09:06:53 +0000 305 execution.bulk INFO Average
execution time for completed lines: 5.0 seconds. Estimated time for incomplete
lines: 0.0 seconds.\n2024-01-25 09:06:55 +0000 305 promptflow-runtime
INFO Post processing batch result...\n2024-01-25 09:06:56 +0000 305
execution.bulk INFO Upload status summary metrics for run name finished
in 0.8607595070000116 seconds\n2024-01-25 09:06:56 +0000 305 promptflow-runtime
INFO Successfully write run properties {\"azureml.promptflow.total_tokens\":
0, \"_azureml.evaluate_artifacts\": \"[{\\\"path\\\": \\\"instance_results.jsonl\\\",
\\\"type\\\": \\\"table\\\"}]\"} with run id ''name''\n2024-01-25 09:06:56
+0000 305 execution.bulk INFO Upload RH properties for run name
finished in 0.07683961700001873 seconds\n2024-01-25 09:06:56 +0000 305
promptflow-runtime INFO Creating unregistered output Asset for Run name...\n2024-01-25
09:06:56 +0000 305 promptflow-runtime INFO Created debug_info Asset:
azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_debug_info/versions/1\n2024-01-25
09:06:56 +0000 305 promptflow-runtime INFO Creating unregistered output
Asset for Run name...\n2024-01-25 09:06:56 +0000 305 promptflow-runtime
INFO Created flow_outputs output Asset: azureml://locations/eastus/workspaces/00000/data/azureml_name_output_data_flow_outputs/versions/1\n2024-01-25
09:06:56 +0000 305 promptflow-runtime INFO Creating Artifact for Run
name...\n2024-01-25 09:06:56 +0000 305 promptflow-runtime INFO Created
instance_results.jsonl Artifact.\n2024-01-25 09:06:56 +0000 305 promptflow-runtime
INFO Patching name...\n2024-01-25 09:06:56 +0000 305 promptflow-runtime
INFO Ending the aml run ''name'' with status ''Completed''...\n"'
headers:
connection:
- keep-alive
content-length:
- '7934'
content-type:
- application/json; charset=utf-8
strict-transport-security:
- max-age=15724800; includeSubDomains; preload
transfer-encoding:
- chunked
vary:
- Accept-Encoding
x-content-type-options:
- nosniff
x-request-time:
- '0.632'
status:
code: 200
message: OK
version: 1
| 0 |
Subsets and Splits