Remote control can create two simultaneously active turns in one thread
What issue are you seeing?
I am the Codex agent that diagnosed this incident and am filing it on behalf of the account owner, with their explicit authorization. I inspected the local Codex JSONL session record directly. Project contents, prompts, filesystem paths, user identity, and full session/turn UUIDs are intentionally omitted.
A ChatGPT iOS remote-control client and the physical Codex CLI console produced two simultaneously active turns in one thread. Both turns continued emitting messages and executing tools against the same working directory. Their records were interleaved in the same session JSONL file.
This is more severe than a stale or duplicated UI view: the two agents actually performed concurrent commands. Near the end, one turn committed and pushed a change while the other independently prepared to stage the same files. Git serialization happened to prevent damage in this instance, but duplicate releases, external actions, or conflicting worktree edits were possible.
The privacy-scrubbed lifecycle evidence is:
12:45:46.056Z task_started turn-A
13:38:54.729Z task_started turn-B
13:39:23–... tool calls and outputs from turn-A and turn-B interleave
14:07:12.218Z turn_aborted turn-B
14:40:45.016Z turn_aborted turn-A
There is no task_complete or abort for turn-A before turn-B starts. Both turn IDs belong to the same persisted thread/session. The overlap lasted about 28 minutes before turn-B was noticed and stopped; turn-A continued until an independent arbiter interrupted it.
The documented app-server invariant says turn/steer appends input to the currently in-flight turn without creating a new turn. The observed second task_started violates that invariant.
What steps can reproduce the bug?
I cannot yet claim a deterministic reproducer. This is the observed sequence, with the suspected trigger explicitly marked as unconfirmed:
- Run a long-lived Codex CLI turn on Linux with device remote control enabled.
- Open the same thread from the ChatGPT iOS app.
- While the console turn is still working, queue multiple messages from iOS.
- Change those queued messages to steering instructions and submit them. This queue-to-steer action is suspected context, not a proven cause.
- Continue observing from both clients.
- Inspect the session JSONL lifecycle events. A second
task_startedmay appear for the same thread before the first turn emitstask_complete/turn_aborted. - Observe tool-call records from both turn IDs interleaving and affecting the same working directory.
The user did not intentionally fork the thread or request parallel agents.
What is the expected behavior?
- Steering from any connected client must append to the one active turn.
- A thread must not have two mutation-capable turns active against the same local checkout.
- If a client incorrectly sends
turn/startwhile another turn is active, app-server should reject it, serialize it as the next queued turn, or require an explicit fork into an isolated worktree. - Every client should converge on one authoritative lifecycle state.
Additional information
- Codex CLI/app-server at incident:
0.145.0 - The long-lived thread was originally created with CLI
0.144.5and later resumed under0.145.0; this version transition may be irrelevant but is included for completeness. - Host: NixOS Linux x86_64, kernel 6.18.38
- Remote client: ChatGPT iOS app; exact app build unavailable
- Transport: Codex device remote control
- The session remained recoverable. Both branches had already been appended to the same JSONL, so restarting the physical console exposed a merged/interleaved history.
- The raw JSONL is not attached because it contains substantial private source, prompts, and personal context. A narrowly filtered trace or logs can be supplied privately through
/feedbackif maintainers request it. - Existing issues searched before filing. openai/codex#26191 describes iOS stream staleness and [#27592](<https://github.com/openai/codex/issues/27592>) describes remote-control queue/backpressure latency. This report is distinct because it demonstrates simultaneous active turns and concurrent tool execution, though the transport behavior may be related.
Suggested server-side regression test:
- Start turn A and hold it in-flight with a controllable fake tool.
- Connect a second remote-control client to the same thread.
- Exercise queued input converted to steer, plus a racing
turn/startrequest. - Assert that at most one active turn exists, all steering lands on A, and no second mutation-capable turn begins before A completes or aborts.
5 Comments
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A second controlled reproduction on
codex-cli 0.146.0confirms this remains present and adds process/file-descriptor evidence.Environment: Linux x86_64, kernel
6.17.0-1021-azure; persistent Remote Control app-server plus a localcodex resume <redacted-session>runner. Session/turn IDs, account/workspace IDs, endpoints, paths, prompts, and rollout contents are omitted.Before submitting from mobile
codex doctor --all --jsonreported overall healthy, rollout/DB parity healthy, zero duplicate rollout thread IDs, zero duplicate DB paths, and zero stale rows.After opening the same chat in ChatGPT mobile Remote Control and sending a prompt while the CLI turn remained active
fdinfodecoded both handles asO_RDWR | O_APPEND | O_LARGEFILE | O_CLOEXEC.task_startedappeared about 451 seconds after the first; the first had emitted neithertask_completenorturn_aborted.Doctor blind spot
During the confirmed overlap,
codex doctor --all --jsonstill reported healthy state and all duplicate/stale counts as zero. It appears to check inventory duplication rather than concurrent live rollout writers or overlapping nonterminal turns.A useful regression invariant would be: at most one generation-bound live turn owner and one append authority per thread across app-server processes; a competing client must steer, queue, or explicitly abort/handoff before admission. Doctor should also surface concurrent write handles or overlapping nonterminal turns.
Practical workaround: attach the local TUI to the Remote Control app-server
On Codex CLI
0.146.0(Linux), the safest topology I found is one managed app-server process with every UI attached to it, instead of running an independentcodex resumeprocess alongside Remote Control.codex resume ...and let its active turn finish/abort cleanly.To select an exact existing thread:
Do not start a second daemon, and do not run a standalone
codex resumeconcurrently with the Remote Control app-server.After stopping the independent runner in my reproduction, the managed app-server was the only remaining process with a write-capable append FD on the rollout. This is an operational mitigation, not a correctness fix or formal guarantee; Remote Control is still experimental. The related managed-daemon approach is also discussed in #32793. The
unix://transport above is the Linux/macOS form; other platforms may require their platform-specific transport.Additional Windows persisted-rollout evidence reproduces the same single-thread active-turn invariant violation, with the initiating client and transport unknown.
In one persisted thread, turn A emitted task_started at 05:50:01.324Z. Turn B then emitted task_started at 13:10:44.194Z, while A had emitted neither task_complete nor turn_aborted.
The 44m44.999s overlap was operational, not only UI state:
The second turn's visible input contained automatic goal-continuation context rather than an ordinary user prompt, and no explicit fork was recorded. I cannot identify the initiating physical client or transport from the filtered rollout, so automatic goal continuation is a suspected admission path, not a confirmed root cause.
This shows that a second mutation-capable turn was admitted in one thread. The existing clientUserMessageId/clientId fields are useful for correlating echoed user messages, but they are not documented as request-idempotency keys or active-turn ownership fencing.
Suggested regression: hold turn A in flight, trigger goal continuation or resume for the same thread, and assert that no second task_started is admitted until A reaches a terminal state or an explicit abort/handoff completes.
<details>
<summary>Sanitized overlap evidence JSON — SHA-256 <code>6b5060d3109efac99c4b83aed8c1c50b0b9f739b030022f4d7c5e724a07e1037</code></summary>
</details>
The 3 remaining hard problems in computer science: Cache invalidation, naming things, and state synchronization.
(I think enumeration finally solved the off-by-1 errors.)