observability

Adding observability to background jobs requires capturing structured decision logs at key moments, persisting failure state to durable storage, and exposing health surfaces so a fresh agent can inspect what happened after a restart.

Durable failure state is persisted crash or degraded state data needed for long-running servers, allowing a fresh agent to inspect what went wrong after a restart without rerunning or guessing from vague logs.

To stop silent error swallowing in auto-mode workflows, replace silent catches and swallowed exceptions with explicit error handling paths that produce clear, traceable failure modes easy to alert on.

The best way to capture structured decision logs for watchers is instrumenting the exact moments a system chooses, retries, dispatches, or skips work, ensuring future agents can understand failures without guessing.

Yes, this diagnostics approach works for unattended code after a restart by persisting errors to durable storage and exposing simple health views, so a fresh reader can understand exactly what happened.

You need health or status surfaces for background workers to expose lightweight status endpoints or files, making long-running jobs diagnosable and allowing agents to understand failures without rerunning the system.