What this error means

upstream provider "retry-after" header not forwarded to client — only "llm_provider-retry-after" is returned is a LiteLLM failure pattern reported for developers trying to fix litellm proxy bug where standard http retry-after headers from upstream providers are not passed through to the client, breaking proper rate limit handling. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub Issue #21553 opened Feb 2026, still open with updates as of May 21 2026. Affects LiteLLM proxy users routing requests through LiteLLM. Missing Retry-After header means clients cannot implement exponential backoff properly. Strong commercial value: affects production LiteLLM deployments. Maps to LiteLLM per approved categories.

Common causes

  • GitHub Issue #21553 opened Feb 2026, still open with updates as of May 21 2026. Affects LiteLLM proxy users routing requests through LiteLLM. Missing Retry-After header means clients cannot implement exponential backoff properly. Strong commercial value: affects production LiteLLM deployments. Maps to LiteLLM per approved categories.

Quick fixes

  1. Confirm the exact error signature matches upstream provider "retry-after" header not forwarded to client — only "llm_provider-retry-after" is returned.
  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.