What this error means

Server Error: Sorry, you have exceeded your Copilot token usage. Error Code: rate_limited is a GitHub Copilot failure pattern reported for developers trying to resolve github copilot rate limiting error for pro subscribers who have not reached their monthly quota. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Community discussion on github.com community forum (#180092), 235 👍 reactions, closed but highly active thread. Multiple Pro/Pro+ users report being rate-limited within minutes of light usage (e.g., 2 requests hitting limit while only 14% monthly usage consumed). Two separate limits: monthly premium allowance + per-minute/per-hour burst rate limit.

Common causes

  • Community discussion on github.com community forum (#180092), 235 👍 reactions, closed but highly active thread. Multiple Pro/Pro+ users report being rate-limited within minutes of light usage (e.g., 2 requests hitting limit while only 14% monthly usage consumed). Two separate limits: monthly premium allowance + per-minute/per-hour burst rate limit.

Quick fixes

  1. Confirm the exact error signature matches Server Error: Sorry, you have exceeded your Copilot token usage. Error Code: rate_limited.
  2. Check the GitHub Copilot 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.