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