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

  1. Confirm the exact error signature matches APIConnectionError.
  2. Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
  3. 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

  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.