Codex 5-Hour Limit Exhausted After 48 Min on Cloud Task; Auto-Revert Loses Work, No Quota Recovery

Resolved 💬 3 comments Opened Nov 7, 2025 by swami-sanapathi Closed Nov 7, 2025
💡 Likely answer: A maintainer (github-actions[bot], contributor) responded on this thread — see the highlighted reply below.

What version of Codex is running?

Codex Cloud

What subscription do you have?

plus

Which model were you using?

codex

What platform is your computer?

_No response_

What issue are you seeing?

Hit 5-hour Codex message limit after ~48 minutes of cloud task work (updating ReportColumnInput interface with calculatedFieldCanonical, propagating to mappings/components). Task auto-reverted repo changes; full quota consumed despite partial failure.

What steps can reproduce the bug?

  1. Start multi-step cloud refactor (e.g., add optional props to interfaces, adjust mappings).
  2. Work for 45-50 min on iterative edits.
  3. Limit triggers mid-task → 429 error, revert to original state, 100% 5hr usage deducted.

What is the expected behavior?

Expected: Checkpoint/resume option or quota-only-for-success. Actual: Full loss of work + usage.

  • Add resumable checkpoints for cloud tasks.
  • Refund partial usage on failures.
  • Better warnings at 70-80% threshold.

Additional information

<img width="1717" height="217" alt="Image" src="https://github.com/user-attachments/assets/94813d7e-7dc7-4c33-adf0-a6d5c1d73a77" />

<img width="1526" height="907" alt="Image" src="https://github.com/user-attachments/assets/e2dffe68-c5e8-44e7-9229-790cd8a15a24" />

View original on GitHub ↗

3 Comments

github-actions[bot] contributor · 9 months ago

Potential duplicates detected. Please review them and close your issue if it is a duplicate.

  • #6254
  • #6281
  • #6187

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swami-sanapathi · 9 months ago

codex GitHub code review consumes 28% of 5-Hour Limit on Single 8-File PR—Unfair Quota Drain.

<img width="1442" height="925" alt="Image" src="https://github.com/user-attachments/assets/a676ce3a-e286-4459-8e14-df515050f6c4" />

etraut-openai contributor · 9 months ago

This issue is being tracked here. Closing this issue to reduce duplication.