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.oci.llm.llm import OCILargeLanguageModel def test_validate_credentials(): model = OCILargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( model="cohere.command-r-plus", credentials={"oci_config_content": "invalid_key", "oci_key_content": "invalid_key"}, ) model.validate_credentials( model="cohere.command-r-plus", credentials={ "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), }, ) def test_invoke_model(): model = OCILargeLanguageModel() response = model.invoke( model="cohere.command-r-plus", credentials={ "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), }, prompt_messages=[UserPromptMessage(content="Hi")], model_parameters={"temperature": 0.5, "max_tokens": 10}, stop=["How"], stream=False, user="abc-123", ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 def test_invoke_stream_model(): model = OCILargeLanguageModel() response = model.invoke( model="meta.llama-3-70b-instruct", credentials={ "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), }, prompt_messages=[UserPromptMessage(content="Hi")], model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, 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_invoke_model_with_function(): model = OCILargeLanguageModel() response = model.invoke( model="cohere.command-r-plus", credentials={ "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), }, prompt_messages=[UserPromptMessage(content="Hi")], model_parameters={"temperature": 0.5, "max_tokens": 100, "seed": 1234}, stream=False, user="abc-123", 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": ["celsius", "fahrenheit"]}, }, "required": ["location"], }, ) ], ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 def test_get_num_tokens(): model = OCILargeLanguageModel() num_tokens = model.get_num_tokens( model="cohere.command-r-plus", credentials={ "oci_config_content": os.environ.get("OCI_CONFIG_CONTENT"), "oci_key_content": os.environ.get("OCI_KEY_CONTENT"), }, prompt_messages=[ SystemPromptMessage( content="You are a helpful AI assistant.", ), UserPromptMessage(content="Hello World!"), ], ) assert num_tokens == 18