alvis d12f11d29d feat(clustering): 1h TTL + skip recompute when tasks unchanged ...

focus-area now recomputes at most once per hour, and only if the task list
actually changed since the last compute.

- focus-area TTL: 43200s → 3600s; version bumped to 2.1.0
- computeAndStore hashes sorted task contents (MD5) and checks the stored
  _task_hash in the existing snapshot; skips the ml-serving call when the
  hash matches and the output isn't expired
- ml-serving injects _task_hash into the snapshot so the next cycle can compare

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

2026-05-12 14:45:15 +00:00

..

__init__.py

feat(ml): multi-agent context framework + v4 orchestrator prompt

2026-05-04 10:20:05 +00:00

test_agents.py

feat(clustering): persistent enrichment cache in task_enrichments table

2026-05-12 14:39:35 +00:00

test_clustering.py

feat(clustering): persistent enrichment cache in task_enrichments table

2026-05-12 14:39:35 +00:00

test_inference.py

feat(agents): quiet window + peak hours + tz prefs for time-of-day agent (#112)

2026-05-06 06:05:51 +00:00

test_manifest.py

feat(agents): manifest plumbing + GET /agents/registry (ADR-0014 step 3)

2026-05-05 10:55:54 +00:00

test_per_agent_inference.py

feat(clustering): 1h TTL + skip recompute when tasks unchanged

2026-05-12 14:45:15 +00:00