What this error means
Mid-stream SSE errors get status_code=200 instead of the actual error code is a Anthropic API failure pattern reported for developers trying to fix anthropic sdk returning 200 status code for mid-stream streaming errors. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
GitHub issue and fix PR documenting that mid-stream SSE errors during Claude API streaming return status_code=200 instead of the actual error code, breaking error handling logic.
Common causes
- The official Anthropic Python SDK incorrectly returns HTTP 200 status code when mid-stream SSE errors occur during Claude API streaming responses. This prevents proper error handling in production applications. A fix was merged (PR #1269) but many developers still encounter this bug and search for workarounds.
- GitHub issue and fix PR documenting that mid-stream SSE errors during Claude API streaming return status_code=200 instead of the actual error code, breaking error handling logic.
Quick fixes
- Confirm the exact error signature matches
Mid-stream SSE errors get status_code=200 instead of the actual error code. - 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.