What this error means
Virtual keys with tpm/rpm limits leak _litellm_* params — rate limit enforcement broken at proxy layer is a LiteLLM failure pattern reported for developers trying to fix litellm proxy leaking internal _litellm_* parameters through virtual key rate limiting boundaries, breaking per-key rate limit enforcement. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub Issue #28146 in BerriAI/litellm (May 18, 2026). Virtual keys configured with TPM/RPM (tokens per minute / requests per minute) limits leak internal state parameters to downstream clients. Workaround requires sacrificing per-key rate limit enforcement. Recent release notes (v04/01/2026) also mention separate rate-limit v3 limiter leak fix (#25856), suggesting systemic design issues. Direct commercial impact on self-hosted LiteLLM deployments.
Common causes
- GitHub Issue #28146 in BerriAI/litellm (May 18, 2026). Virtual keys configured with TPM/RPM (tokens per minute / requests per minute) limits leak internal state parameters to downstream clients. Workaround requires sacrificing per-key rate limit enforcement. Recent release notes (v04/01/2026) also mention separate rate-limit v3 limiter leak fix (#25856), suggesting systemic design issues. Direct commercial impact on self-hosted LiteLLM deployments.
Quick fixes
- Confirm the exact error signature matches
Virtual keys with tpm/rpm limits leak _litellm_* params — rate limit enforcement broken at proxy layer. - 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.