What this error means

RateLimitError silently emitted category='vendor_rate_limit' for router-side rpm/tpm enforcement instead of category='litellm_rate_limit' is a LiteLLM failure pattern reported for developers trying to fix litellm router strategy incorrectly attributing self-imposed rate limits (deployment over defined rpm/tpm limit) to upstream vendors, preventing correct dashboards/alerts for proxy-side throttling. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub PR BerriAI/litellm#27708 (May 2026): Follow-up to unified rate-limit error work (#27687). Router-side raises in lowest_tpm_rpm_v2.py and model_rate_limit_check.py (9 total) emit category=vendor_rate_limit instead of litellm_rate_limit. This breaks monitoring dashboards and callbacks that split litellm vs vendor throttles. 82 tests pass. Active pull request indicates ongoing developer pain point with production observability.

Common causes

  • GitHub PR BerriAI/litellm#27708 (May 2026): Follow-up to unified rate-limit error work (#27687). Router-side raises in lowest_tpm_rpm_v2.py and model_rate_limit_check.py (9 total) emit category=vendor_rate_limit instead of litellm_rate_limit. This breaks monitoring dashboards and callbacks that split litellm vs vendor throttles. 82 tests pass. Active pull request indicates ongoing developer pain point with production observability.

Quick fixes

  1. Confirm the exact error signature matches RateLimitError silently emitted category='vendor_rate_limit' for router-side rpm/tpm enforcement instead of category='litellm_rate_limit'.
  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.