openai / openai/codex

Bug with codex

Open
#44,607 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

app bug connectivity rate-limits
Dominant language
Rust
Stars
125k
Forks
19.4k
PR merge metrics
PR metrics pending

Description

What version of the Codex App are you using (From “About Codex” dialog)?

latest

What subscription do you have?

pro

What platform is your computer?

Microsoft Windows NT 10.0.26200.0 x64

What issue are you seeing?

01a08c09-bcc8-7172-910a-f22a7d20dafa
Usage drained from 100% to 0% when i was getting nothing done, then kept hitting the model is at capacity " message and retrying to connect while using my hard-earned money to do nothing.

What steps can reproduce the bug?

Feedback ID: 01a08c09-bcc8-7172-910a-f22a7d20dafa

What is the expected behavior?

01a08c09-bcc8-7172-910a-f22a7d20dafa
Usage drained from 100% to 0% when i was getting nothing done, then kept hitting the model is at capacity " message and retrying to connect while using my hard-earned money to do nothing.

Additional information

01a08c09-bcc8-7172-910a-f22a7d20dafa
Usage drained from 100% to 0% when i was getting nothing done, then kept hitting the model is at capacity " message and retrying to connect while using my hard-earned money to do nothing.

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

The report names no source file, test, or reproducible steps; it provides feedback ID 01a08c09-bcc8-7172-910a-f22a7d20dafa and describes usage reaching 0% during model-capacity retries on Windows. Start by locating the usage accounting and retry entry points, then use the feedback record to determine whether failed capacity responses are being charged; done means the behavior is reproduced or its cause is identified and covered by a test.

Written by the indexing model from the issue text.

Assessment

Tech stack
rust
Domain
ai, cli
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.