What this error means

API Error: Server is temporarily limiting requests (not your usage limit) · Rate limited is a Claude Code failure pattern reported for developers trying to fix server-side transient rate limiting that breaks parallel multi-agent workflows and forces manual re-dispatch of threads. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #60562 on anthropics/claude-code by matisyahu3 (May 19, 2026). Max plan user reports Anthropic-side capacity throttling killing 8-thread parallel Agent dispatches. Error explicitly states 'not your usage limit' — this is platform-side, not account-quota. No auto-retry; users lose AFK work silently. Multiple related issues filed (#53922, #42947, #50841). Category mapped to AI Coding Tools per approved list for Claude Code.

Common causes

  • GitHub issue #60562 on anthropics/claude-code by matisyahu3 (May 19, 2026). Max plan user reports Anthropic-side capacity throttling killing 8-thread parallel Agent dispatches. Error explicitly states 'not your usage limit' — this is platform-side, not account-quota. No auto-retry; users lose AFK work silently. Multiple related issues filed (#53922, #42947, #50841). Category mapped to AI Coding Tools per approved list for Claude Code.

Quick fixes

  1. Confirm the exact error signature matches API Error: Server is temporarily limiting requests (not your usage limit) · Rate limited.
  2. Check the Claude Code 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.