What this error means

ChatGPT Plus OAuth succeeds but third-party Codex calls return 429 quota exceeded — Plus subscription does not provide usable quota for third-party tool integration is a OpenAI API failure pattern reported for developers trying to understand whether chatgpt plus subscription quota applies to third-party oauth tool calls and how to resolve 429 quota errors when using third-party tools like openclaw. 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 on openai/openai-python (opened Mar 10, 2026). Specific to third-party OAuth Codex usage. Issue confirmed as bug with Python library. Comments indicate multiple developers affected. Category: OpenAI API per SKILL.md. Strong commercial value — blocks production integrations for paying Plus subscribers.

Common causes

  • GitHub issue #2951 on openai/openai-python (opened Mar 10, 2026). Specific to third-party OAuth Codex usage. Issue confirmed as bug with Python library. Comments indicate multiple developers affected. Category: OpenAI API per SKILL.md. Strong commercial value — blocks production integrations for paying Plus subscribers.

Quick fixes

  1. Confirm the exact error signature matches ChatGPT Plus OAuth succeeds but third-party Codex calls return 429 quota exceeded — Plus subscription does not provide usable quota for third-party tool integration.
  2. Check the OpenAI API account, local tool state, and provider configuration involved in the failing workflow.
  3. 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

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. 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.