lingtai-ai Daemon Cleanup Reference
Use this reference for a footprint audit or explicitly authorized deletion.
It does not own provider routing or cross-process recovery. There is no
automatic folder cleanup: reclaim stops processes but leaves evidence, and
molt clears conversation context while retaining durable stores, including
daemon run folders.
Cleanup / Footprint
Each run leaves daemons/em-* with daemon.json, events, transcript/history,
result files, and token records. Do not delete an active run or evidence still
needed for a report, review, or cost audit.
Call psyche(action="skills", input={}, reasoning="read cleanup guidance"),
then read reference/cleanup-footprint-contract.md beside that installed manual.
Use its shared inspection recipe; combine
its definitions with this tool-specific selection in one task-owned script.
Inspection writes nothing. Appending logs/cleanup.jsonl is a separate,
explicitly selected audit step.
agent = Path.cwd()
items = [p for p in (agent / "daemons").glob("em-*") if p.is_dir()]
rows, total = footprint_check(items, tool="daemon", top_n=20)
Before deleting old completed folders, show the dry-run output and obtain
explicit human consent. Then append an apply record to
logs/cleanup.jsonl with the deleted paths and bytes. Never delete outside the
approved selection or use cleanup to hide a failed run.