Background responses failures lack a stable error code mapping — no typed exception for retry logic

What this error means

status='failed', error.code='server_error' with HTTP 200 OK — no mapped SDK exception raised is a OpenAI API failure pattern reported for developers trying to fix openai python sdk failing to surface a typed exception for failed background runs, preventing correct retry/backoff handling. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Found in openai/openai-python#3212 (open, created 2026-05-08). The Responses API in background=True mode returns HTTP 200 even on failure, with only opaque error.code strings that don’t map to any SDK exception class. This breaks production retry/backoff logic.

Common causes

• Found in openai/openai-python#3212 (open, created 2026-05-08). The Responses API in background=True mode returns HTTP 200 even on failure, with only opaque error.code strings that don’t map to any SDK exception class. This breaks production retry/backoff logic.

Quick fixes

1. Confirm the exact error signature matches status='failed', error.code='server_error' with HTTP 200 OK — no mapped SDK exception raised.
2. Check the OpenAI 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.

Sources checked

• https://github.com/openai/openai-python/issues/3212

Evidence note: Found in openai/openai-python#3212 (open, created 2026-05-08). The Responses API in background=True mode returns HTTP 200 even on failure, with only opaque error.code strings that don’t map to any SDK exception class. This breaks production retry/backoff logic.

Related errors

• OpenAI API

FAQ

What should I check first?

Start with the exact status='failed', error.code='server_error' with HTTP 200 OK — no mapped SDK exception raised text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed OpenAI 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 status='failed', error.code='server_error' with HTTP 200 OK — no mapped SDK exception raised.