What this error means

Secondary rate limit triggered: too many concurrent requests (exceeds 100 concurrent limit) or 900 points/minute REST endpoint threshold is a GitHub Actions failure pattern reported for developers trying to resolve secondary rate limit error in github actions workflow caused by excessive concurrent api calls; understand point calculation for secondary limits. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GITHUB_TOKEN primary rate limit is only 1,000 requests/hour (vs 5,000 for PAT). Secondary rate limits include 100 concurrent request cap, 900 points/minute for REST, and 60s CPU/60s wall time per minute. Fetched from official GitHub docs. High commercial value because CI/CD pipeline failures affect paid GitHub teams and enterprise orgs.

Common causes

  • GITHUB_TOKEN primary rate limit is only 1,000 requests/hour (vs 5,000 for PAT). Secondary rate limits include 100 concurrent request cap, 900 points/minute for REST, and 60s CPU/60s wall time per minute. Fetched from official GitHub docs. High commercial value because CI/CD pipeline failures affect paid GitHub teams and enterprise orgs.

Quick fixes

  1. Confirm the exact error signature matches Secondary rate limit triggered: too many concurrent requests (exceeds 100 concurrent limit) or 900 points/minute REST endpoint threshold.
  2. Check the GitHub Actions 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.