from unittest.mock import Mock, patch import os import pytest from mem0.configs.llms.base import BaseLlmConfig from mem0.llms.deepseek import DeepSeekLLM @pytest.fixture def mock_deepseek_client(): with patch("mem0.llms.deepseek.OpenAI") as mock_openai: mock_client = Mock() mock_openai.return_value = mock_client yield mock_client def test_deepseek_llm_base_url(): # case1: default config with deepseek official base url config = BaseLlmConfig( model="deepseek-chat", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key", ) llm = DeepSeekLLM(config) assert str(llm.client.base_url) == "https://api.deepseek.com" # case2: with env variable DEEPSEEK_API_BASE provider_base_url = "https://api.provider.com/v1/" os.environ["DEEPSEEK_API_BASE"] = provider_base_url config = BaseLlmConfig( model="deepseek-chat", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key", ) llm = DeepSeekLLM(config) assert str(llm.client.base_url) == provider_base_url # case3: with config.deepseek_base_url config_base_url = "https://api.config.com/v1/" config = BaseLlmConfig( model="deepseek-chat", temperature=0.7, max_tokens=100, top_p=1.0, api_key="api_key", deepseek_base_url=config_base_url, ) llm = DeepSeekLLM(config) assert str(llm.client.base_url) == config_base_url def test_generate_response(mock_deepseek_client): config = BaseLlmConfig( model="deepseek-chat", temperature=0.7, max_tokens=100, top_p=1.0 ) llm = DeepSeekLLM(config) messages = [ {"role": "system", "content": "You are a helpful assistant."}, {"role": "user", "content": "Hello, how are you?"}, ] mock_response = Mock() mock_response.choices = [ Mock(message=Mock(content="I'm doing well, thank you for asking!")) ] mock_deepseek_client.chat.completions.create.return_value = mock_response response = llm.generate_response(messages) mock_deepseek_client.chat.completions.create.assert_called_once_with( model="deepseek-chat", messages=messages, temperature=0.7, max_tokens=100, top_p=1.0, ) assert response == "I'm doing well, thank you for asking!"