Anthropic API / Anthropic API
Mid-stream SSE errors return status_code=200 instead of actual error code in Anthropic SDK
Fix AWS Bedrock SSE error events being swallowed with 200 status, making errors undetectable Includes evidence for Anthropic API troubleshooting demand.
- Category
- Anthropic API
- Error signature
SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller- Quick fix
- Compare the failing environment with a known working setup, then change one configuration value at a time.
- Updated
What this error means
SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller is a Anthropic API failure pattern reported for developers trying to fix aws bedrock sse error events being swallowed with 200 status, making errors undetectable. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Found via GitHub issue search for anthropics/anthropic-sdk-python mid-stream SSE errors. Non-200 SSE error events should be converted to APIStatusError but currently pass through silently.
Common causes
- Found via GitHub issue search for anthropics/anthropic-sdk-python mid-stream SSE errors. Non-200 SSE error events should be converted to APIStatusError but currently pass through silently.
Quick fixes
- Confirm the exact error signature matches
SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller. - Check the Anthropic API account, local tool state, and provider configuration involved in the failing workflow.
- 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
- Capture the exact error message and the command, editor action, or request that triggered it.
- Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
- Review the source evidence below and compare it with your environment.
- Apply one change at a time and rerun the smallest failing action.
- 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
Evidence note: Found via GitHub issue search for anthropics/anthropic-sdk-python mid-stream SSE errors. Non-200 SSE error events should be converted to APIStatusError but currently pass through silently.
Related errors
- Anthropic API
FAQ
What should I check first?
Start with the exact SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller 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 SSE stream produces server-side errors but HTTP status_code stays 200 — errors invisible to caller.