LiteLLM / LiteLLM

Deployment-level TPM enforcement is per-pod not cross-pod — effective limit becomes tpm_limit × N_replica

Fix LiteLLM proxy TPM rate limiting in distributed deployments where each replica independently enforces the limit, effectively multiplying the allowed throughput beyond intended cap Includes evidence for LiteLLM troubleshooting demand.

Category
LiteLLM
Error signature
TPM enforcement allows tpm_limit × N_replica concurrent requests across replicas — single pod limit fails to apply correctly in multi-pod K8s deployments
Quick fix
Reduce request pressure, check quota or plan limits, and retry with backoff instead of immediate repeated requests.
Updated

What this error means

TPM enforcement allows tpm_limit × N_replica concurrent requests across replicas — single pod limit fails to apply correctly in multi-pod K8s deployments is a LiteLLM failure pattern reported for developers trying to fix litellm proxy tpm rate limiting in distributed deployments where each replica independently enforces the limit, effectively multiplying the allowed throughput beyond intended cap. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub Issue #27736 on BerriAI/litellm (opened May 12, 2026). Proxy-labeled bug. In multi-replica Kubernetes deployments, deployed TPM limits are enforced per-pod rather than globally, allowing far more throughput than intended. Affects production deployments using LiteLLM proxy with horizontal scaling. Strong commercial value for teams relying on rate limiting for cost control.

Common causes

Quick fixes

  1. Confirm the exact error signature matches TPM enforcement allows tpm_limit × N_replica concurrent requests across replicas — single pod limit fails to apply correctly in multi-pod K8s deployments.
  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

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

Sources checked

Evidence note: GitHub Issue #27736 on BerriAI/litellm (opened May 12, 2026). Proxy-labeled bug. In multi-replica Kubernetes deployments, deployed TPM limits are enforced per-pod rather than globally, allowing far more throughput than intended. Affects production deployments using LiteLLM proxy with horizontal scaling. Strong commercial value for teams relying on rate limiting for cost control.

FAQ

What should I check first?

Start with the exact TPM enforcement allows tpm_limit × N_replica concurrent requests across replicas — single pod limit fails to apply correctly in multi-pod K8s deployments text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed LiteLLM workflow until the root cause is understood.

Is this guaranteed to have one fix?

No. The imported evidence supports the troubleshooting path above, but tool behavior can vary by account, plan, version, provider, and local configuration.

How do I know the fix worked?

Rerun the same command, editor action, or request. The fix is working when that action completes without TPM enforcement allows tpm_limit × N_replica concurrent requests across replicas — single pod limit fails to apply correctly in multi-pod K8s deployments.