Tool call support for LangchainLLM (#3542)
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@@ -68,6 +68,51 @@ def test_generate_response(mock_langchain_model):
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assert response == "This is a test response"
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def test_generate_response_with_tools(mock_langchain_model):
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config = BaseLlmConfig(model=mock_langchain_model, temperature=0.7, max_tokens=100, api_key="test-api-key")
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llm = LangchainLLM(config)
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messages = [
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{"role": "system", "content": "You are a helpful assistant."},
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{"role": "user", "content": "Add a new memory: Today is a sunny day."},
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]
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tools = [
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{
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"type": "function",
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"function": {
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"name": "add_memory",
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"description": "Add a memory",
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"parameters": {
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"type": "object",
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"properties": {"data": {"type": "string", "description": "Data to add to memory"}},
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"required": ["data"],
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},
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},
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}
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]
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mock_response = Mock()
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mock_response.content = "I've added the memory for you."
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mock_tool_call = Mock()
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mock_tool_call.__getitem__ = Mock(
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side_effect={"name": "add_memory", "args": {"data": "Today is a sunny day."}}.__getitem__
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)
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mock_response.tool_calls = [mock_tool_call]
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mock_langchain_model.invoke.return_value = mock_response
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mock_langchain_model.bind_tools.return_value = mock_langchain_model
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response = llm.generate_response(messages, tools=tools)
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mock_langchain_model.invoke.assert_called_once()
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assert response["content"] == "I've added the memory for you."
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assert len(response["tool_calls"]) == 1
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assert response["tool_calls"][0]["name"] == "add_memory"
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assert response["tool_calls"][0]["arguments"] == {"data": "Today is a sunny day."}
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def test_invalid_model():
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"""Test that LangchainLLM raises an error with an invalid model."""
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config = BaseLlmConfig(model="not-a-valid-model-instance", temperature=0.7, max_tokens=100, api_key="test-api-key")
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