34 lines
1.1 KiB
Python
34 lines
1.1 KiB
Python
import os
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from unittest.mock import patch
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import pytest
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from langchain.schema import HumanMessage, SystemMessage
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from embedchain.config import BaseLlmConfig
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from embedchain.llm.anthropic import AnthropicLlm
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@pytest.fixture
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def anthropic_llm():
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os.environ["ANTHROPIC_API_KEY"] = "test_api_key"
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config = BaseLlmConfig(temperature=0.5, model="gpt2")
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return AnthropicLlm(config)
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def test_get_llm_model_answer(anthropic_llm):
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with patch.object(AnthropicLlm, "_get_answer", return_value="Test Response") as mock_method:
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prompt = "Test Prompt"
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response = anthropic_llm.get_llm_model_answer(prompt)
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assert response == "Test Response"
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mock_method.assert_called_once_with(prompt=prompt, config=anthropic_llm.config)
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def test_get_messages(anthropic_llm):
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prompt = "Test Prompt"
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system_prompt = "Test System Prompt"
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messages = anthropic_llm._get_messages(prompt, system_prompt)
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assert messages == [
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SystemMessage(content="Test System Prompt", additional_kwargs={}),
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HumanMessage(content="Test Prompt", additional_kwargs={}, example=False),
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]
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