What this error means

413 returns generic APIStatusError instead of RequestTooLargeError; 529 OverloadedError falls into InternalServerError on Bedrock/Vertex is a Anthropic API failure pattern reported for developers trying to fix anthropic sdk bedrock vertex 413 529 error codes not mapped to typed exceptions retry backoff broken. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub PR #1544 in anthropics/anthropic-sdk-python fixes missing 413→RequestTooLargeError and 529→OverloadedError mappings on Bedrock and Vertex clients. The canonical client already maps these. Users on Bedrock/Vertex get generic APIStatusError for 413 and InternalServerError for 529, breaking retry/backoff code keyed off typed exceptions. Category mapped to Anthropic API — SDK drift bug affecting paid platform users.

Common causes

  • GitHub PR #1544 in anthropics/anthropic-sdk-python fixes missing 413→RequestTooLargeError and 529→OverloadedError mappings on Bedrock and Vertex clients. The canonical client already maps these. Users on Bedrock/Vertex get generic APIStatusError for 413 and InternalServerError for 529, breaking retry/backoff code keyed off typed exceptions. Category mapped to Anthropic API — SDK drift bug affecting paid platform users.

Quick fixes

  1. Confirm the exact error signature matches 413 returns generic APIStatusError instead of RequestTooLargeError; 529 OverloadedError falls into InternalServerError on Bedrock/Vertex.
  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.