What this error means
429 quota exceeded — ChatGPT Plus OAuth authentication succeeds but third-party Codex calls to openai-codex/gpt-5.4 return 429 despite active Plus subscription is a OpenAI API failure pattern reported for developers trying to understand why chatgpt plus quota does not apply to third-party api calls; determine if separate credits required or if quota routing between first-party and third-party oauth contexts is a product bug. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Issue #2951 in openai/openai-python (opened Mar 10 2026, AllinAI20260127). OAuth login works perfectly, but API calls via third-party tools get 429 quota. Directly affects paying Plus subscribers using non-Official clients. High commercial impact since it involves billing/quota on a paid subscription product. Category mapping: OpenAI API (quota/billing error on paid API service).
Common causes
- GitHub Issue #2951 in openai/openai-python (opened Mar 10 2026, AllinAI20260127). OAuth login works perfectly, but API calls via third-party tools get 429 quota. Directly affects paying Plus subscribers using non-Official clients. High commercial impact since it involves billing/quota on a paid subscription product. Category mapping: OpenAI API (quota/billing error on paid API service).
Quick fixes
- Confirm the exact error signature matches
429 quota exceeded — ChatGPT Plus OAuth authentication succeeds but third-party Codex calls to openai-codex/gpt-5.4 return 429 despite active Plus subscription. - Check the OpenAI API account, local tool state, and provider configuration involved in the failing workflow.
- Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Platform/tool-specific checks
- Verify the command, editor, extension, or API client that produced the error.
- Compare local settings with CI, deployment, or editor-level settings when the error appears in only one environment.
- Avoid deleting credentials, local model data, or project settings until the failing scope is clear.
Step-by-step troubleshooting
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- Keep the working fix documented for the team or deployment environment.
How to prevent it
- Keep provider/tool configuration documented.
- Record non-secret diagnostics such as tool version, provider name, model name, and command path.
- Add a lightweight check before CI or production workflows depend on the tool.