What this error means
tpm_limit × N_replica — deployment-level tokens-per-minute enforcement is per-pod, not cross-pod consistent is a LiteLLM failure pattern reported for developers trying to understand why litellm tpm rate limits don't aggregate across pods and how to enforce correct per-deployment token limits. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue BerriAI/litellm#27736 by hula-la (May 12 2026). LiteLLM proxy sets tpm_limit at deployment level but enforcement happens per-replica pod, meaning a 4-replica deployment effectively has 4× the intended rate limit. This bypasses cost controls and can trigger upstream provider rate limits unexpectedly. Labels: bug, proxy. Critical for teams using LiteLLM proxy for budget management across distributed deployments.
Common causes
- GitHub issue BerriAI/litellm#27736 by hula-la (May 12 2026). LiteLLM proxy sets tpm_limit at deployment level but enforcement happens per-replica pod, meaning a 4-replica deployment effectively has 4× the intended rate limit. This bypasses cost controls and can trigger upstream provider rate limits unexpectedly. Labels: bug, proxy. Critical for teams using LiteLLM proxy for budget management across distributed deployments.
Quick fixes
- Confirm the exact error signature matches
tpm_limit × N_replica — deployment-level tokens-per-minute enforcement is per-pod, not cross-pod consistent. - 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.