Interrupted create_session still creates the session ~1.6 hours later, silently duplicating agent work
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Description
Summary
A create_session tool call was reported to the agent as interrupted (never completed), but the session was actually created and auto-started its kickoff prompt 1 hour 38 minutes later. The agent had correctly treated the call as failed and done the work itself in the meantime, so the late-arriving session became a duplicate worker on the same task, in its own worktree, editing the same files.
The damaging part is not the latency - it is that a side-effecting, non-idempotent tool reported failure and then succeeded anyway, long after the agent had reasonably compensated for the failure.
Evidence from the session event log
Every external_tool.requested in the session has a matching external_tool.completed - except the second create_session, which has no completion event at all:
18:01:18 external_tool.requested create_session
18:01:44 external_tool.completed <- 26s, normal
18:02:44 external_tool.requested get_session
18:02:44 external_tool.completed
...
19:14:44 external_tool.requested create_session
<- no completion event, ever
21:04:41 external_tool.requested send_session_message
21:04:41 external_tool.completed
The agent-side tool call surfaced as:
The execution of this tool, or a previous tool was interrupted.
Meanwhile, in the created session's own event log:
20:53:18 session.start <- 1h38m after the 19:14:44 request
20:53:31 user.message <- kickoff prompt delivered and executed
So the request at 19:14:44 did eventually take effect at 20:53:18, with no completion ever reported back to the caller.
Impact
- Duplicated work. The agent, having been told the call was interrupted, performed the task itself. When the session finally materialised it began the identical task from the identical spec, producing two divergent branches for one issue. Cleaning that up required manually stopping the late session.
- Wasted model spend. The duplicate ran autonomously in autopilot until it was noticed and stopped.
- No way to detect it. There is no completion, no error, and no handle returned, so the caller has no id to poll and no signal that the request is still pending rather than dead. The only robust workaround an agent has is to poll an out-of-band source (worktree list / session list) after every interrupted side-effecting call - which is not discoverable.
Expected behaviour
Any of the following would resolve it, roughly in order of preference:
- Cancel the side effect when the tool call is interrupted. If the result cannot be delivered, the session should not be created.
- Return the handle even on interruption, so the caller can poll and either adopt or archive the session.
- Make the request idempotent via a caller-supplied key, so a retry cannot create a second session and a late delivery can be reconciled.
- At minimum, surface "still pending" distinctly from "failed", so an agent knows not to compensate.
Notes
- The first
create_sessionin the same session completed normally in 26s, so this is intermittent rather than systemic. - Both calls used
mode: autopilotwith a kickoff prompt,workspace_type: worktree. - Client reported itself as
github/autopilot. - Timestamps above are UTC, from a single continuous session on 2026-08-30.
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by tracing the create_session external_tool.requested and external_tool.completed lifecycle around interrupted calls, using the event log as reproduction evidence. Compare it with the first successful create_session and the send_session_message call. Done means an interrupted side-effecting request is cancelled, returns a usable handle, is idempotently reconciled, or is explicitly reported as pending instead of silently creating a session.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- shell
- Domain
- cli
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100