What this error means

overloaded_error / model unavailable / maintenance mode is a Anthropic API failure pattern reported for developers trying to anthropic api 用户在模型不可用(过载、维护期间)时收到错误,需要了解恢复时间和规避策略. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

covered-errors.md 列出了 Anthropic API 401/429 等但尚未覆盖 overloaded_error/model unavailable 场景。这是高价值支付用户的常见问题,直接影响生产 API 调用。mapped to 'Anthropic API' approved category.

Common causes

  • covered-errors.md 列出了 Anthropic API 401/429 等但尚未覆盖 overloaded_error/model unavailable 场景。这是高价值支付用户的常见问题,直接影响生产 API 调用。mapped to 'Anthropic API' approved category.

Quick fixes

  1. Confirm the exact error signature matches overloaded_error / model unavailable / maintenance mode.
  2. Check the Anthropic API 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.