What this error means

BudgetExceededError: stale spend reported while /key/info shows spend below max_budget is a LiteLLM failure pattern reported for developers trying to fix litellm budgetexceedederror rejecting requests when actual spend is below budget limit. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Team-scoped virtual key gets rejected with BudgetExceededError while management APIs (/key/info) report spend still below configured max_budget. Issue affects LiteLLM v1.84.0 with Redis cache. Related to stale spend calculation in multi-key environments.

Common causes

  • LiteLLM is a paid proxy service used by enterprises to manage AI API budgets. When virtual keys falsely report BudgetExceededError despite actual spend being under budget, it blocks legitimate API traffic and causes production outages. Directly impacts billing and access control.
  • Team-scoped virtual key gets rejected with BudgetExceededError while management APIs (/key/info) report spend still below configured max_budget. Issue affects LiteLLM v1.84.0 with Redis cache. Related to stale spend calculation in multi-key environments.

Quick fixes

  1. Confirm the exact error signature matches BudgetExceededError: stale spend reported while /key/info shows spend below max_budget.
  2. Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
  3. Compare the failing environment with a known working setup, then change one configuration value at a time.

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.