What this error means
API Error: Server is temporarily limiting requests (not your usage limit) · Rate limited is a Claude Code / Anthropic API failure pattern reported for developers trying to developer starts claude code after idle period and immediately gets rate-limited despite not hitting usage limits; wants to understand why and how to disable or work around the spurious throttle. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Source: https://github.com/anthropics/claude-code/issues/60710 (opened 2026-05-19). Reproducible: stop using Claude Code for ~1 hour, resume, immediately hit throttling despite no quota exceeded. This is NOT a usage-quota error but an Anthropic backend artificial rate limit — affects paid users who expect full API access under their plan. Distinct from existing covered errors (which cover standard 429/quota exceeded).
Common causes
- Source: https://github.com/anthropics/claude-code/issues/60710 (opened 2026-05-19). Reproducible: stop using Claude Code for ~1 hour, resume, immediately hit throttling despite no quota exceeded. This is NOT a usage-quota error but an Anthropic backend artificial rate limit — affects paid users who expect full API access under their plan. Distinct from existing covered errors (which cover standard 429/quota exceeded).
Quick fixes
- Confirm the exact error signature matches
API Error: Server is temporarily limiting requests (not your usage limit) · Rate limited. - Check the Claude Code / Anthropic API 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.