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
- 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'. - Check the LiteLLM 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.