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Codex Desktop repeatedly fails with model capacity errors during long tasks and compaction #46283
Description
Environment
- Windows 11 Home, 64-bit, build 26200
- Official Codex Desktop/OpenAI connection; no custom model provider
- ChatGPT Pro
- Codex Desktop product version:
153.0.8010.36 - Installed package path indicates build
26.911.7940.0 - Codex session CLI version:
0.155.0-alpha.2.6 - Current configured model:
gpt-5.6-sol - Model provider recorded in session metadata:
openai
Issue
For several days, long-running Codex tasks intermittently fail with:
Selected model is at capacity. Please try a different model.
codex_error_info: server_overloaded
Local Codex session logs confirm the following occurrences:
| Date | Confirmed capacity errors |
|---|---|
| 2026-09-08 | 5 |
| 2026-09-11 | 2 |
| 2026-09-17 | 10 in one long-running session |
The failures commonly occur after a tool or shell operation has completed, when the model should continue. New short tasks can sometimes work normally while an existing long task fails repeatedly.
The UI also reported:
Error running remote compact task: Selected model is at capacity.
I could not find that exact phrase in the local JSONL session records, so please correlate it with server-side diagnostics. The local records do confirm the server_overloaded capacity failures.
Impact
Long-running research workflows become unreliable because the task cannot continue after tool calls or automatic context compaction. Users may need to reconstruct context and resume manually.
Requested investigation
- Check model-capacity routing for long-running sessions and whether it differs from short tasks.
- Check remote-compaction retry/fallback behavior.
- Check whether completed tool-call state is preserved when model continuation fails.
- Check whether this Desktop/CLI version combination is associated with the issue.
Feedback ID
Not yet available. The in-app /feedback entry could not be reached from the current desktop state; I will add the Feedback ID if it becomes available.
No API keys, tokens, cookies, project contents, or private file paths are included in this report.
Activity
github-actions commentedon Sep 17, 2026
Potential duplicates detected. Please review them and close your issue if it is a duplicate.
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YingboJiang commentedon Sep 22, 2026
Additional reproduction report:
In this Codex conversation, the error
"Selected model is at capacity. Please try a different model."
has appeared multiple times during normal work, including when continuing the current task. The failures were observed on 2026-09-22 (UTC+8).
I also observed a possible quality regression after selecting GPT-6 with Medium reasoning: a single-file HTML request for an SVG 2D animation of a pelican riding a bicycle produced output far below the expected structural and visual quality.
Please correlate this report with server-side/session diagnostics. I do not have a separate Feedback ID or exact timestamp list yet. OpenAI Support has also been contacted.