import pytest from unittest.mock import MagicMock, patch from embedchain.llm.antrophic import AntrophicLlm from embedchain.config import BaseLlmConfig from langchain.schema import HumanMessage, SystemMessage @pytest.fixture def antrophic_llm(): config = BaseLlmConfig(temperature=0.5, model="gpt2") return AntrophicLlm(config) def test_get_llm_model_answer(antrophic_llm): with patch.object(AntrophicLlm, "_get_answer", return_value="Test Response") as mock_method: prompt = "Test Prompt" response = antrophic_llm.get_llm_model_answer(prompt) assert response == "Test Response" mock_method.assert_called_once_with(prompt=prompt, config=antrophic_llm.config) def test_get_answer(antrophic_llm): with patch("langchain.chat_models.ChatAnthropic") as mock_chat: mock_chat_instance = mock_chat.return_value mock_chat_instance.return_value = MagicMock(content="Test Response") prompt = "Test Prompt" response = antrophic_llm._get_answer(prompt, antrophic_llm.config) assert response == "Test Response" mock_chat.assert_called_once_with( temperature=antrophic_llm.config.temperature, model=antrophic_llm.config.model ) mock_chat_instance.assert_called_once_with( antrophic_llm._get_messages(prompt, system_prompt=antrophic_llm.config.system_prompt) ) def test_get_messages(antrophic_llm): prompt = "Test Prompt" system_prompt = "Test System Prompt" messages = antrophic_llm._get_messages(prompt, system_prompt) assert messages == [ SystemMessage(content="Test System Prompt", additional_kwargs={}), HumanMessage(content="Test Prompt", additional_kwargs={}, example=False), ] def test_get_answer_max_tokens_is_provided(antrophic_llm, caplog): with patch("langchain.chat_models.ChatAnthropic") as mock_chat: mock_chat_instance = mock_chat.return_value mock_chat_instance.return_value = MagicMock(content="Test Response") prompt = "Test Prompt" config = antrophic_llm.config config.max_tokens = 500 response = antrophic_llm._get_answer(prompt, config) assert response == "Test Response" mock_chat.assert_called_once_with(temperature=config.temperature, model=config.model) assert "Config option `max_tokens` is not supported by this model." in caplog.text