What this error means
user_global_rate_limited:pro_plus — 429 Sorry, you've exceeded your rate limits is a GitHub Copilot failure pattern reported for developers trying to understand and fix github copilot pro+ unexpected global rate limiting that blocks normal usage even below usage threshold. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Community discussion #190766, posted Mar 27 2026. Multiple confirmed reporters with full error stack traces including request IDs. Error code 'user_global_rate_limited:pro_plus' is highly specific. Includes Retry-After header (~3 hours). Covered-errors check: NOT listed in existing dev-error-db entries.
Common causes
- GitHub Community discussion #190766, posted Mar 27 2026. Multiple confirmed reporters with full error stack traces including request IDs. Error code 'user_global_rate_limited:pro_plus' is highly specific. Includes Retry-After header (~3 hours). Covered-errors check: NOT listed in existing dev-error-db entries.
Quick fixes
- Confirm the exact error signature matches
user_global_rate_limited:pro_plus — 429 Sorry, you've exceeded your rate limits. - Check the GitHub Copilot 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.