SafeDisk AI

Worker File Spill Disk Full Silent Truncation

When a workflow worker spills large payloads to disk, a swallowed write error can be worse than a crash: downstream nodes may receive a short preview while operators believe the full value was persisted.

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First Response Runbook

  1. Keep the fallback explicit: downstream nodes should know whether they received full payload, file reference, or truncated preview.
  2. Log spill-write failure with the buffer key, intended path, payload byte size, and exception details.
  3. Classify ENOSPC, EDQUOT, EACCES, EPERM, EIO, and missing session data directory separately.
  4. Emit a metric for spill failures so operators can alert before workflows silently degrade.
  5. Add tests for disk full, permission denied, and invalid path; assert the warning and fallback contract.
  6. Keep payload contents out of logs. Log size, key, path, and error, not the value itself.
Copy-ready issue reply

Use this when file-spill errors are swallowed.

The goal is to preserve operator visibility while keeping private payloads out of logs.

I would keep the fallback, but make the fallback contract visible. A swallowed spill-write error means downstream nodes may receive a truncated preview while operators think the full value was persisted.

Acceptance checks I would add:

- Inject ENOSPC/EACCES/EIO on the session data directory and assert a warning includes key name, intended spill path, payload size, and exception.
- Assert the downstream payload explicitly marks whether it is full inline data, a file reference, or a truncated preview.
- Add a metric/count for spill failures so operators can alert before many transitions degrade silently.
- Keep payload contents out of logs; log size/path/error only.
- Add one regression where disk fills mid-run and the workflow still exposes the degraded state.

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