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, UserPromptMessage from core.model_runtime.errors.validate import CredentialsValidateFailedError from core.model_runtime.model_providers.volcengine_maas.llm.llm import VolcengineMaaSLargeLanguageModel def test_validate_credentials_for_chat_model(): model = VolcengineMaaSLargeLanguageModel() with pytest.raises(CredentialsValidateFailedError): model.validate_credentials( model="NOT IMPORTANT", credentials={ "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", "volc_region": "cn-beijing", "volc_access_key_id": "INVALID", "volc_secret_access_key": "INVALID", "endpoint_id": "INVALID", }, ) model.validate_credentials( model="NOT IMPORTANT", credentials={ "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", "volc_region": "cn-beijing", "volc_access_key_id": os.environ.get("VOLC_API_KEY"), "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), }, ) def test_invoke_model(): model = VolcengineMaaSLargeLanguageModel() response = model.invoke( model="NOT IMPORTANT", credentials={ "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", "volc_region": "cn-beijing", "volc_access_key_id": os.environ.get("VOLC_API_KEY"), "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), "base_model_name": "Skylark2-pro-4k", }, prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ "temperature": 0.7, "top_p": 1.0, "top_k": 1, }, stop=["you"], user="abc-123", stream=False, ) assert isinstance(response, LLMResult) assert len(response.message.content) > 0 assert response.usage.total_tokens > 0 def test_invoke_stream_model(): model = VolcengineMaaSLargeLanguageModel() response = model.invoke( model="NOT IMPORTANT", credentials={ "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", "volc_region": "cn-beijing", "volc_access_key_id": os.environ.get("VOLC_API_KEY"), "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), "base_model_name": "Skylark2-pro-4k", }, prompt_messages=[UserPromptMessage(content="Hello World!")], model_parameters={ "temperature": 0.7, "top_p": 1.0, "top_k": 1, }, stop=["you"], 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 = VolcengineMaaSLargeLanguageModel() response = model.get_num_tokens( model="NOT IMPORTANT", credentials={ "api_endpoint_host": "maas-api.ml-platform-cn-beijing.volces.com", "volc_region": "cn-beijing", "volc_access_key_id": os.environ.get("VOLC_API_KEY"), "volc_secret_access_key": os.environ.get("VOLC_SECRET_KEY"), "endpoint_id": os.environ.get("VOLC_MODEL_ENDPOINT_ID"), "base_model_name": "Skylark2-pro-4k", }, prompt_messages=[UserPromptMessage(content="Hello World!")], tools=[], ) assert isinstance(response, int) assert response == 6