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feat: add cohere llm and embedding (#2115)
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takatost
272
api/tests/integration_tests/model_runtime/cohere/test_llm.py
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272
api/tests/integration_tests/model_runtime/cohere/test_llm.py
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import os
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from typing import Generator
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import pytest
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from core.model_runtime.entities.llm_entities import LLMResult, LLMResultChunk, LLMResultChunkDelta
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from core.model_runtime.entities.message_entities import (AssistantPromptMessage, SystemPromptMessage,
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UserPromptMessage)
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from core.model_runtime.errors.validate import CredentialsValidateFailedError
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from core.model_runtime.model_providers.cohere.llm.llm import CohereLargeLanguageModel
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def test_validate_credentials_for_chat_model():
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model = CohereLargeLanguageModel()
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with pytest.raises(CredentialsValidateFailedError):
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model.validate_credentials(
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model='command-light-chat',
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credentials={
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'api_key': 'invalid_key'
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}
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)
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model.validate_credentials(
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model='command-light-chat',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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}
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)
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def test_validate_credentials_for_completion_model():
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model = CohereLargeLanguageModel()
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with pytest.raises(CredentialsValidateFailedError):
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model.validate_credentials(
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model='command-light',
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credentials={
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'api_key': 'invalid_key'
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}
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)
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model.validate_credentials(
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model='command-light',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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}
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)
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def test_invoke_completion_model():
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model = CohereLargeLanguageModel()
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credentials = {
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'api_key': os.environ.get('COHERE_API_KEY')
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}
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result = model.invoke(
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model='command-light',
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credentials=credentials,
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prompt_messages=[
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UserPromptMessage(
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content='Hello World!'
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)
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],
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model_parameters={
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'temperature': 0.0,
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'max_tokens': 1
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},
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stream=False,
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user="abc-123"
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)
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assert isinstance(result, LLMResult)
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assert len(result.message.content) > 0
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assert model._num_tokens_from_string('command-light', credentials, result.message.content) == 1
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def test_invoke_stream_completion_model():
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model = CohereLargeLanguageModel()
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result = model.invoke(
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model='command-light',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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},
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prompt_messages=[
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UserPromptMessage(
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content='Hello World!'
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)
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],
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model_parameters={
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'temperature': 0.0,
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'max_tokens': 100
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},
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stream=True,
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user="abc-123"
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)
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assert isinstance(result, Generator)
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for chunk in result:
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assert isinstance(chunk, LLMResultChunk)
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assert isinstance(chunk.delta, LLMResultChunkDelta)
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assert isinstance(chunk.delta.message, AssistantPromptMessage)
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assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
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def test_invoke_chat_model():
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model = CohereLargeLanguageModel()
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result = model.invoke(
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model='command-light-chat',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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},
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prompt_messages=[
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SystemPromptMessage(
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content='You are a helpful AI assistant.',
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),
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UserPromptMessage(
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content='Hello World!'
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)
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],
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model_parameters={
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'temperature': 0.0,
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'p': 0.99,
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'presence_penalty': 0.0,
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'frequency_penalty': 0.0,
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'max_tokens': 10
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},
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stop=['How'],
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stream=False,
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user="abc-123"
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)
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assert isinstance(result, LLMResult)
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assert len(result.message.content) > 0
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for chunk in model._llm_result_to_stream(result):
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assert isinstance(chunk, LLMResultChunk)
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assert isinstance(chunk.delta, LLMResultChunkDelta)
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assert isinstance(chunk.delta.message, AssistantPromptMessage)
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assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
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def test_invoke_stream_chat_model():
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model = CohereLargeLanguageModel()
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result = model.invoke(
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model='command-light-chat',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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},
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prompt_messages=[
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SystemPromptMessage(
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content='You are a helpful AI assistant.',
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),
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UserPromptMessage(
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content='Hello World!'
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)
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],
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model_parameters={
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'temperature': 0.0,
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'max_tokens': 100
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},
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stream=True,
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user="abc-123"
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)
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assert isinstance(result, Generator)
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for chunk in result:
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assert isinstance(chunk, LLMResultChunk)
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assert isinstance(chunk.delta, LLMResultChunkDelta)
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assert isinstance(chunk.delta.message, AssistantPromptMessage)
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assert len(chunk.delta.message.content) > 0 if chunk.delta.finish_reason is None else True
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if chunk.delta.finish_reason is not None:
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assert chunk.delta.usage is not None
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assert chunk.delta.usage.completion_tokens > 0
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def test_get_num_tokens():
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model = CohereLargeLanguageModel()
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num_tokens = model.get_num_tokens(
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model='command-light',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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},
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prompt_messages=[
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UserPromptMessage(
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content='Hello World!'
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)
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]
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)
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assert num_tokens == 3
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num_tokens = model.get_num_tokens(
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model='command-light-chat',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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},
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prompt_messages=[
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SystemPromptMessage(
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content='You are a helpful AI assistant.',
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),
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UserPromptMessage(
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content='Hello World!'
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)
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]
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)
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assert num_tokens == 15
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def test_fine_tuned_model():
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model = CohereLargeLanguageModel()
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# test invoke
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result = model.invoke(
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model='85ec47be-6139-4f75-a4be-0f0ec1ef115c-ft',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY'),
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'mode': 'completion'
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},
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prompt_messages=[
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SystemPromptMessage(
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content='You are a helpful AI assistant.',
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),
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UserPromptMessage(
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content='Hello World!'
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)
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],
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model_parameters={
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'temperature': 0.0,
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'max_tokens': 100
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},
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stream=False,
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user="abc-123"
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)
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assert isinstance(result, LLMResult)
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def test_fine_tuned_chat_model():
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model = CohereLargeLanguageModel()
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# test invoke
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result = model.invoke(
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model='94f2d55a-4c79-4c00-bde4-23962e74b170-ft',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY'),
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'mode': 'chat'
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},
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prompt_messages=[
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SystemPromptMessage(
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content='You are a helpful AI assistant.',
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),
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UserPromptMessage(
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content='Hello World!'
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)
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],
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model_parameters={
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'temperature': 0.0,
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'max_tokens': 100
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},
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stream=False,
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user="abc-123"
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)
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assert isinstance(result, LLMResult)
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@@ -0,0 +1,64 @@
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import os
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import pytest
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from core.model_runtime.entities.text_embedding_entities import TextEmbeddingResult
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from core.model_runtime.errors.validate import CredentialsValidateFailedError
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from core.model_runtime.model_providers.cohere.text_embedding.text_embedding import CohereTextEmbeddingModel
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def test_validate_credentials():
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model = CohereTextEmbeddingModel()
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with pytest.raises(CredentialsValidateFailedError):
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model.validate_credentials(
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model='embed-multilingual-v3.0',
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credentials={
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'api_key': 'invalid_key'
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}
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)
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model.validate_credentials(
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model='embed-multilingual-v3.0',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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}
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)
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def test_invoke_model():
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model = CohereTextEmbeddingModel()
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result = model.invoke(
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model='embed-multilingual-v3.0',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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},
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texts=[
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"hello",
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"world",
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" ".join(["long_text"] * 100),
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" ".join(["another_long_text"] * 100)
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],
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user="abc-123"
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)
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assert isinstance(result, TextEmbeddingResult)
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assert len(result.embeddings) == 4
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assert result.usage.total_tokens == 811
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def test_get_num_tokens():
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model = CohereTextEmbeddingModel()
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num_tokens = model.get_num_tokens(
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model='embed-multilingual-v3.0',
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credentials={
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'api_key': os.environ.get('COHERE_API_KEY')
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},
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texts=[
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"hello",
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"world"
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]
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)
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assert num_tokens == 3
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