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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, SystemPromptMessage, UserPromptMessage
from core.model_runtime.errors.validate import CredentialsValidateFailedError
from core.model_runtime.model_providers.cohere.llm.llm import CohereLargeLanguageModel
def test_validate_credentials_for_chat_model():
model = CohereLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='command-light-chat',
credentials={
'api_key': 'invalid_key'
}
)
model.validate_credentials(
model='command-light-chat',
credentials={
'api_key': os.environ.get('COHERE_API_KEY')
}
)
def test_validate_credentials_for_completion_model():
model = CohereLargeLanguageModel()
with pytest.raises(CredentialsValidateFailedError):
model.validate_credentials(
model='command-light',
credentials={
'api_key': 'invalid_key'
}
)
model.validate_credentials(
model='command-light',
credentials={
'api_key': os.environ.get('COHERE_API_KEY')
}
)
def test_invoke_completion_model():
model = CohereLargeLanguageModel()
credentials = {
'api_key': os.environ.get('COHERE_API_KEY')
}
result = model.invoke(
model='command-light',
credentials=credentials,
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.0,
'max_tokens': 1
},
stream=False,
user="abc-123"
)
assert isinstance(result, LLMResult)
assert len(result.message.content) > 0
assert model._num_tokens_from_string('command-light', credentials, result.message.content) == 1
def test_invoke_stream_completion_model():
model = CohereLargeLanguageModel()
result = model.invoke(
model='command-light',
credentials={
'api_key': os.environ.get('COHERE_API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.0,
'max_tokens': 100
},
stream=True,
user="abc-123"
)
assert isinstance(result, Generator)
for chunk in result:
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_invoke_chat_model():
model = CohereLargeLanguageModel()
result = model.invoke(
model='command-light-chat',
credentials={
'api_key': os.environ.get('COHERE_API_KEY')
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.0,
'p': 0.99,
'presence_penalty': 0.0,
'frequency_penalty': 0.0,
'max_tokens': 10
},
stop=['How'],
stream=False,
user="abc-123"
)
assert isinstance(result, LLMResult)
assert len(result.message.content) > 0
for chunk in model._llm_result_to_stream(result):
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_invoke_stream_chat_model():
model = CohereLargeLanguageModel()
result = model.invoke(
model='command-light-chat',
credentials={
'api_key': os.environ.get('COHERE_API_KEY')
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.0,
'max_tokens': 100
},
stream=True,
user="abc-123"
)
assert isinstance(result, Generator)
for chunk in result:
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
if chunk.delta.finish_reason is not None:
assert chunk.delta.usage is not None
assert chunk.delta.usage.completion_tokens > 0
def test_get_num_tokens():
model = CohereLargeLanguageModel()
num_tokens = model.get_num_tokens(
model='command-light',
credentials={
'api_key': os.environ.get('COHERE_API_KEY')
},
prompt_messages=[
UserPromptMessage(
content='Hello World!'
)
]
)
assert num_tokens == 3
num_tokens = model.get_num_tokens(
model='command-light-chat',
credentials={
'api_key': os.environ.get('COHERE_API_KEY')
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
]
)
assert num_tokens == 15
def test_fine_tuned_model():
model = CohereLargeLanguageModel()
# test invoke
result = model.invoke(
model='85ec47be-6139-4f75-a4be-0f0ec1ef115c-ft',
credentials={
'api_key': os.environ.get('COHERE_API_KEY'),
'mode': 'completion'
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.0,
'max_tokens': 100
},
stream=False,
user="abc-123"
)
assert isinstance(result, LLMResult)
def test_fine_tuned_chat_model():
model = CohereLargeLanguageModel()
# test invoke
result = model.invoke(
model='94f2d55a-4c79-4c00-bde4-23962e74b170-ft',
credentials={
'api_key': os.environ.get('COHERE_API_KEY'),
'mode': 'chat'
},
prompt_messages=[
SystemPromptMessage(
content='You are a helpful AI assistant.',
),
UserPromptMessage(
content='Hello World!'
)
],
model_parameters={
'temperature': 0.0,
'max_tokens': 100
},
stream=False,
user="abc-123"
)
assert isinstance(result, LLMResult)
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