langchain-ai/langgraph · error · RuntimeError

thread.run.respond: interrupt_id {interrupt_id!r} does not m

Error message

thread.run.respond: interrupt_id {interrupt_id!r} does not match any outstanding interrupt in `thread.interrupts`.

What it means

Error "thread.run.respond: interrupt_id {interrupt_id!r} does not match any outstanding interrupt in `thread.interrupts`." thrown in langchain-ai/langgraph.

Source

Thrown at libs/sdk-py/langgraph_sdk/_async/stream.py:256

                        "thread.run.respond: no outstanding interrupt. Provide "
                        "an explicit `interrupt_id` or wait for "
                        "`thread.interrupted`."
                    )
                if len(outstanding) > 1:
                    ids = [p["interrupt_id"] for p in outstanding]
                    raise RuntimeError(
                        f"thread.run.respond: ambiguous — {len(outstanding)} "
                        f"outstanding interrupts ({ids!r}). Provide an explicit "
                        "`interrupt_id`."
                    )
                match = outstanding[0]
            else:
                match = next(
                    (p for p in outstanding if p["interrupt_id"] == interrupt_id),
                    None,
                )
                if match is None:
                    raise RuntimeError(
                        f"thread.run.respond: interrupt_id {interrupt_id!r} does "
                        "not match any outstanding interrupt in "
                        "`thread.interrupts`."
                    )
            params = {
                "interrupt_id": match["interrupt_id"],
                "namespace": match["namespace"],
                "response": response,
            }
            return await self._owner._send_command("input.respond", params)


async def _close_after(handle: EventStreamHandle, *, delay: float = 0.0) -> None:
    """Close a handle, optionally after a brief delay. Used to detach
    closing the old stream from the synchronous rotation step so the new
    stream can absorb server-side replayed events first.
    """
    if delay:

View on GitHub (pinned to 38031739e5)

When it happens

Trigger: Thrown at libs/sdk-py/langgraph_sdk/_async/stream.py:256 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of langchain-ai/langgraph@38031739e5 (2026-08-26). Data as JSON: /api/errors/93df2387a2f148f0. Report an issue: GitHub.