test_human_in_the_loop_middleware_description_as_callable() — langchain Function Reference
Architecture documentation for the test_human_in_the_loop_middleware_description_as_callable() function in test_human_in_the_loop.py from the langchain codebase.
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Dependency Diagram
graph TD bbf3de5d_36f4_ccc1_b7d4_aed4ba78b965["test_human_in_the_loop_middleware_description_as_callable()"] b9ab5ab1_a37b_d0e1_974a_34ca8a76a788["test_human_in_the_loop.py"] bbf3de5d_36f4_ccc1_b7d4_aed4ba78b965 -->|defined in| b9ab5ab1_a37b_d0e1_974a_34ca8a76a788 style bbf3de5d_36f4_ccc1_b7d4_aed4ba78b965 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_human_in_the_loop.py lines 539–593
def test_human_in_the_loop_middleware_description_as_callable() -> None:
"""Test that description field accepts both string and callable."""
def custom_description(
tool_call: ToolCall, state: AgentState[Any], runtime: Runtime[None]
) -> str:
"""Generate a custom description."""
return f"Custom: {tool_call['name']} with args {tool_call['args']}"
middleware = HumanInTheLoopMiddleware(
interrupt_on={
"tool_with_callable": InterruptOnConfig(
allowed_decisions=["approve"],
description=custom_description,
),
"tool_with_string": InterruptOnConfig(
allowed_decisions=["approve"],
description="Static description",
),
}
)
ai_message = AIMessage(
content="I'll help you",
tool_calls=[
{"name": "tool_with_callable", "args": {"x": 1}, "id": "1"},
{"name": "tool_with_string", "args": {"y": 2}, "id": "2"},
],
)
state = AgentState[Any](messages=[HumanMessage(content="Hello"), ai_message])
captured_request = None
def mock_capture_requests(request: Any) -> dict[str, Any]:
nonlocal captured_request
captured_request = request
return {"decisions": [{"type": "approve"}, {"type": "approve"}]}
with patch(
"langchain.agents.middleware.human_in_the_loop.interrupt", side_effect=mock_capture_requests
):
middleware.after_model(state, Runtime())
assert captured_request is not None
assert "action_requests" in captured_request
assert len(captured_request["action_requests"]) == 2
# Check callable description
assert (
captured_request["action_requests"][0]["description"]
== "Custom: tool_with_callable with args {'x': 1}"
)
# Check string description
assert captured_request["action_requests"][1]["description"] == "Static description"
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Frequently Asked Questions
What does test_human_in_the_loop_middleware_description_as_callable() do?
test_human_in_the_loop_middleware_description_as_callable() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_human_in_the_loop.py.
Where is test_human_in_the_loop_middleware_description_as_callable() defined?
test_human_in_the_loop_middleware_description_as_callable() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_human_in_the_loop.py at line 539.
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