What this error means

No Retry-After header on RouterRateLimitError (all deployments in cooldown) is a LiteLLM failure pattern reported for developers trying to fix litellm not returning retry-after header when all deployments are in cooldown. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Bug report with comment: RouterRateLimitError responses lack Retry-After header when all deployments are in cooldown. Affects clients implementing standard HTTP retry-after semantics.

Common causes

  • When LiteLLM's router hits rate limits and puts all deployments in cooldown, the 429 response doesn't include a Retry-After header. Clients implementing proper retry logic depend on this header to know when to retry, and its absence causes either immediate retry storms or excessive backoff.
  • Bug report with comment: RouterRateLimitError responses lack Retry-After header when all deployments are in cooldown. Affects clients implementing standard HTTP retry-after semantics.

Quick fixes

  1. Confirm the exact error signature matches No Retry-After header on RouterRateLimitError (all deployments in cooldown).
  2. Check the LiteLLM 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.