Anthropic API streaming SSE errors return wrong HTTP status code (200 instead of 529/429)

What this error means

APIStatusError with status_code=200 when API sends SSE error event like overloaded_error or rate_limit_error mid-stream is a Anthropic API failure pattern reported for developers trying to developers using anthropic python sdk receive incorrect http 200 status for streaming errors (overloaded, rate-limited), preventing proper error handling in production applications.. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

GitHub issue #1258 and PR #1263 in anthropic-sdk-python repo. When streaming starts fine (HTTP 200) then SSE error arrives, SDK reports status_code=200 instead of correct code (e.g., 529 for overloaded). Affects all Anthropic API callers using streaming. Category mapping: direct Anthropic API SDK error → Anthropic API.

Common causes

• GitHub issue #1258 and PR #1263 in anthropic-sdk-python repo. When streaming starts fine (HTTP 200) then SSE error arrives, SDK reports status_code=200 instead of correct code (e.g., 529 for overloaded). Affects all Anthropic API callers using streaming. Category mapping: direct Anthropic API SDK error → Anthropic API.

Quick fixes

1. Confirm the exact error signature matches APIStatusError with status_code=200 when API sends SSE error event like overloaded_error or rate_limit_error mid-stream.
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.

Sources checked

• https://github.com/anthropics/anthropic-sdk-python/issues/1258
• https://github.com/anthropics/anthropic-sdk-python/pull/1263
• https://github.com/anthropics/anthropic-sdk-python/pull/1269

Evidence note: GitHub issue #1258 and PR #1263 in anthropic-sdk-python repo. When streaming starts fine (HTTP 200) then SSE error arrives, SDK reports status_code=200 instead of correct code (e.g., 529 for overloaded). Affects all Anthropic API callers using streaming. Category mapping: direct Anthropic API SDK error → Anthropic API.

Related errors

• Anthropic API

FAQ

What should I check first?

Start with the exact APIStatusError with status_code=200 when API sends SSE error event like overloaded_error or rate_limit_error mid-stream text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed Anthropic API workflow until the root cause is understood.

Is this guaranteed to have one fix?

No. The imported evidence supports the troubleshooting path above, but tool behavior can vary by account, plan, version, provider, and local configuration.

How do I know the fix worked?

Rerun the same command, editor action, or request. The fix is working when that action completes without APIStatusError with status_code=200 when API sends SSE error event like overloaded_error or rate_limit_error mid-stream.