Home / Function/ test_decorator_returns_wrap_result() — langchain Function Reference

test_decorator_returns_wrap_result() — langchain Function Reference

Architecture documentation for the test_decorator_returns_wrap_result() function in test_wrap_model_call_state_update.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  b7bc4ef2_62f9_b69f_d927_a3b579a6bb33["test_decorator_returns_wrap_result()"]
  269d8393_43ba_e665_6d86_95d75ce0c396["TestComposition"]
  b7bc4ef2_62f9_b69f_d927_a3b579a6bb33 -->|defined in| 269d8393_43ba_e665_6d86_95d75ce0c396
  style b7bc4ef2_62f9_b69f_d927_a3b579a6bb33 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call_state_update.py lines 580–608

    def test_decorator_returns_wrap_result(self) -> None:
        """@wrap_model_call decorator can return ExtendedModelResponse with command."""

        @wrap_model_call
        def command_middleware(
            request: ModelRequest,
            handler: Callable[[ModelRequest], ModelResponse],
        ) -> ExtendedModelResponse:
            response = handler(request)
            return ExtendedModelResponse(
                model_response=response,
                command=Command(
                    update={
                        "messages": [
                            HumanMessage(content="From decorator", id="dec"),
                        ]
                    }
                ),
            )

        model = GenericFakeChatModel(messages=iter([AIMessage(content="Model response")]))
        agent = create_agent(model=model, middleware=[command_middleware])

        result = agent.invoke({"messages": [HumanMessage("Hi")]})

        messages = result["messages"]
        assert len(messages) == 3
        assert messages[1].content == "Model response"
        assert messages[2].content == "From decorator"

Domain

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Frequently Asked Questions

What does test_decorator_returns_wrap_result() do?
test_decorator_returns_wrap_result() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call_state_update.py.
Where is test_decorator_returns_wrap_result() defined?
test_decorator_returns_wrap_result() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call_state_update.py at line 580.

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