test_human_in_the_loop_middleware_edit_with_modified_args() — langchain Function Reference

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_human_in_the_loop.py lines 255–292

def test_human_in_the_loop_middleware_edit_with_modified_args() -> None:
    """Test HumanInTheLoopMiddleware with edit action that includes modified args."""
    middleware = HumanInTheLoopMiddleware(
        interrupt_on={"test_tool": {"allowed_decisions": ["approve", "edit", "reject"]}}
    )

    ai_message = AIMessage(
        content="I'll help you",
        tool_calls=[{"name": "test_tool", "args": {"input": "test"}, "id": "1"}],
    )
    state = AgentState[Any](messages=[HumanMessage(content="Hello"), ai_message])

    def mock_edit_with_args(_: Any) -> dict[str, Any]:
        return {
            "decisions": [
                {
                    "type": "edit",
                    "edited_action": Action(
                        name="test_tool",
                        args={"input": "modified"},
                    ),
                }
            ]
        }

    with patch(
        "langchain.agents.middleware.human_in_the_loop.interrupt",
        side_effect=mock_edit_with_args,
    ):
        result = middleware.after_model(state, Runtime())
        assert result is not None
        assert "messages" in result
        assert len(result["messages"]) == 1

        # Should have modified args
        updated_ai_message = result["messages"][0]
        assert updated_ai_message.tool_calls[0]["args"] == {"input": "modified"}
        assert updated_ai_message.tool_calls[0]["id"] == "1"  # ID preserved