What this error means

overloaded_error: Your API request is overloaded is a Anthropic API failure pattern reported for developers trying to fix anthropic api 429 overloadederror caused by high traffic, implement retry/backoff strategy to continue api usage on paid plans. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Found via initial GitHub API search (tier_0 attempted, limited by anonymous rate limit). OverloadedError is the standard Anthropic rate-limit response during peak traffic — affects paying users on Pro/API tiers with clear billing impact.

Common causes

  • Found via initial GitHub API search (tier_0 attempted, limited by anonymous rate limit). OverloadedError is the standard Anthropic rate-limit response during peak traffic — affects paying users on Pro/API tiers with clear billing impact.

Quick fixes

  1. Confirm the exact error signature matches overloaded_error: Your API request is overloaded.
  2. Check the Anthropic API 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

  • 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.