test_human_in_the_loop_middleware_single_tool_accept() — langchain Function Reference

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_human_in_the_loop.py lines 57–87

def test_human_in_the_loop_middleware_single_tool_accept() -> None:
    """Test HumanInTheLoopMiddleware with single tool accept response."""
    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_accept(_: Any) -> dict[str, Any]:
        return {"decisions": [{"type": "approve"}]}

    with patch("langchain.agents.middleware.human_in_the_loop.interrupt", side_effect=mock_accept):
        result = middleware.after_model(state, Runtime())
        assert result is not None
        assert "messages" in result
        assert len(result["messages"]) == 1
        assert result["messages"][0] == ai_message
        assert result["messages"][0].tool_calls == ai_message.tool_calls

    state["messages"].append(
        ToolMessage(content="Tool message", name="test_tool", tool_call_id="1")
    )
    state["messages"].append(AIMessage(content="test_tool called with result: Tool message"))

    result = middleware.after_model(state, Runtime())
    # No interrupts needed
    assert result is None