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
- 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. - Check the GitHub Actions 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.