What this error means
APIConnectionError is a LiteLLM failure pattern reported for developers trying to fix litellm proxy failover not working when a deployment host is unreachable. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.
Why this happens
Bug report (2026-05-07) identifies root cause: cooldown_handlers.py line 57 has hardcoded ignored_strings=['APIConnectionError'], causing _is_cooldown_required() to return False, preventing failover to healthy deployments in the same model group.
Common causes
- LiteLLM is a paid proxy/router for multi-model LLM deployments. When failover doesn't work due to hardcoded APIConnectionError exclusion, all requests to dead hosts fail without routing to healthy deployments — causing production outages.
- Bug report (2026-05-07) identifies root cause: cooldown_handlers.py line 57 has hardcoded ignored_strings=['APIConnectionError'], causing _is_cooldown_required() to return False, preventing failover to healthy deployments in the same model group.
Quick fixes
- Confirm the exact error signature matches
APIConnectionError. - Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
- Check the build output, project root, and deployment platform configuration before redeploying.
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.