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import os
from collections.abc import Generator
import pytest
from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
from core.model_runtime.entities.message_entities import (
AssistantPromptMessage,
PromptMessageTool,
SystemPromptMessage,
UserPromptMessage,
)
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.zhipuai.llm.llm import ZhipuAILargeLanguageModel
def test_validate_credentials():
model = ZhipuAILargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='chatglm_turbo',
credentials={
'api_key': 'invalid_key'
}
)
model.validate_credentials(
model='chatglm_turbo',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
}
)
def test_invoke_model():
model = ZhipuAILargeLanguageModel()
response = model.invoke(
model='chatglm_turbo',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Who are you?'
)
],
model_parameters={
'temperature': 0.9,
'top_p': 0.7
},
stop=['How'],
stream=False,
user="abc-123"
)
assert isinstance(response, LLMResult)
assert len(response.message.content) > 0
def test_invoke_stream_model():
model = ZhipuAILargeLanguageModel()
response = model.invoke(
model='chatglm_turbo',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.9,
'top_p': 0.7
},
stream=True,
user="abc-123"
)
assert isinstance(response, Generator)
for chunk in response:
assert isinstance(chunk, LLMResultChunk)
assert isinstance(chunk.delta, LLMResultChunkDelta)
assert isinstance(chunk.delta.message, AssistantPromptMessage)
assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
def test_get_num_tokens():
model = ZhipuAILargeLanguageModel()
num_tokens = model.get_num_tokens(
model='chatglm_turbo',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
]
)
assert num_tokens == 14
def test_get_tools_num_tokens():
model = ZhipuAILargeLanguageModel()
num_tokens = model.get_num_tokens(
model='tools',
credentials={
'api_key': os.environ.get('ZHIPUAI_API_KEY')
},
tools=[
PromptMessageTool(
name='get_current_weather',
description='Get the current weather in a given location',
parameters={
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state e.g. San Francisco, CA"
},
"unit": {
"type": "string",
"enum": [
"c",
"f"
]
}
},
"required": [
"location"
]
}
)
],
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
]
)
assert num_tokens == 108 |