What this error means
You have hit your global rate limit. Please upgrade your plan or wait for your limit to reset. Persists over 6 hours at 45% usage is a GitHub Copilot failure pattern reported for developers trying to copilot pro user gets rate-limited despite having only used half monthly quota; error never clears even after waiting hours; wants rate limit resolved or plan reset. 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 March to May 2026. Pro user on 30-day trial hits persistent global rate limit with Claude Sonnet 4.6 model. At time of error, only 45.3 percent of premium requests consumed. Try Again does nothing, session limit persists for over 24 hours. Multiple users report similar issues with Pro+ plans.
Common causes
- GitHub Community discussion March to May 2026. Pro user on 30-day trial hits persistent global rate limit with Claude Sonnet 4.6 model. At time of error, only 45.3 percent of premium requests consumed. Try Again does nothing, session limit persists for over 24 hours. Multiple users report similar issues with Pro+ plans.
Quick fixes
- Confirm the exact error signature matches
You have hit your global rate limit. Please upgrade your plan or wait for your limit to reset. Persists over 6 hours at 45% usage. - 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.