obstacle-resolution

To automate error handling, the system classifies the obstacle type, loads a configured fallback chain, and sequentially attempts alternative resolutions when a provider fails or a retry is exhausted.

A fallback chain is an ordered sequence of alternative actions that systematically resolves unavailable services by attempting subsequent backup methods until the blocker is cleared or escalated.

Implement a systematic fallback strategy by defining ordered alternative recovery actions in a fallback_chains.py file, which the system traverses sequentially to overcome missing dependency blockers.

Yes, this approach supports handling routing provider failures by classifying the specific obstacle type and applying the matching fallback sequence to restore automated workflow execution.

When all fallback attempts are exhausted during error resolution, the system logs the failed attempts and escalates the obstacle, recording a structured observation of the event for future improvements.

You should avoid fallback chains for non-deterministic tasks, as this approach specifically applies to resolving deterministic obstacles like missing data, capability gaps, or permission issues.