Anthropic's API is temporarily overloaded and cannot serve the request.
Why does this error happen?
- Service demand or capacity—not the organization's normal RPM/TPM allowance—prevented processing.
- The effective account, plan, runtime, model, region, or deployment scope may be more restrictive than a headline platform maximum.
- Retries or parallel workers can amplify the condition when they are not bounded or coordinated.
How do you diagnose it?
- Read the error type, request ID, service status, and retry guidance before changing account limits.
- Correlate the provider request identifier and UTC timestamp with application logs and metrics without recording secrets.
- Reproduce with the smallest safe request and verify the exact account, plan, endpoint, region, runtime, or model involved.
How do you fix it?
- Use bounded exponential backoff with jitter, fail over deliberately, and preserve request idempotency.
- Retry only when the documented error is temporary; use bounded attempts, jitter, idempotency, and a dead-letter path.
- Verify recovery with a controlled request, then monitor the same limiter or failure signal under normal traffic.
How do you prevent it from recurring?
Turn the confirmed cause of 529 — overloaded_error into an observable boundary for Anthropic API. Track the relevant request count, token volume, payload size, execution time, connection pressure, billing state, or upstream health before it reaches the documented failure condition. Preserve the platform request ID and timestamp so future incidents can be correlated without logging sensitive payloads.
Test the fix under representative concurrency and failure injection, not only with one successful request. Alert on remaining headroom and repeated retries, and keep the linked limit page and official error source with the runbook so responders can distinguish a configuration problem from temporary service pressure or account state.