alvis 4cade4868b feat(agents): per-user baseline + stdev inference for momentum agent (#114) ...

Adds two InferredParams (TTL=7d) computed from 28-day rolling daily done counts:
- baseline_completions_per_day: mean done events/day over the window
- stdev: stdev of daily counts (floored at 0.1 to avoid division by zero)

MomentumAgent.compute() now calculates a z-score from recent done events in
inp.feedback_history vs the inferred baseline. Snippet language switches to
z-score framing ("above your usual pace", "slowing down") when |z| >= 1.0,
falling back to engagement_trend labels when in the normal range.

- engagement_trend InferredParam preserved for backward compatibility
- momentum_window pref added (default 7, user-overridable)
- 14 new tests covering power user, casual user, returning-from-break, and
  relative stdev comparison; engagement_trend tests updated for z-score priority
- Agent bumped to v1.2.0

Closes #114

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

2026-05-06 05:18:29 +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(agents): per-agent inference — momentum, overdue-task, recent-patterns, focus-area (ADR-0014 step 7)

2026-05-05 11:21:10 +00:00

test_inference.py

feat(profile): /api/profile + eligibility filter + inference framework (ADR-0014 steps 4-6)

2026-05-05 11:14:25 +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(agents): per-user baseline + stdev inference for momentum agent (#114)

2026-05-06 05:18:29 +00:00