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775960c8c8
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feat: "Make It Actually Useful" sprint — observability + Phase 10
Pipeline observability:
- Retrieval harness runs nightly (Step E in batch-extract.sh)
- Pipeline summary persisted to project state after each run
(pipeline_last_run, pipeline_summary, retrieval_harness_result)
- Dashboard enhanced: interaction total + by_client, pipeline health
(last_run, hours_since, harness results, triage stats), dynamic
project list from registry
Phase 10 — reinforcement-based auto-promotion:
- auto_promote_reinforced(): candidates with reference_count >= 3 and
confidence >= 0.7 auto-graduate to active
- expire_stale_candidates(): candidates unreinforced for 14+ days
auto-rejected to prevent unbounded queue growth
- Both wired into nightly cron (Step B2)
- Batch script: scripts/auto_promote_reinforced.py (--dry-run support)
Knowledge seeding:
- scripts/seed_project_state.py: 26 curated Trusted Project State
entries across p04-gigabit, p05-interferometer, p06-polisher,
atomizer-v2, abb-space, atocore (decisions, requirements, facts,
contacts, milestones)
Tests: 299 → 303 (4 new Phase 10 tests)
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-04-16 13:59:12 -04:00 |
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b48f0c95ab
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feat: Phase 2 Memory Core — structured memory with context integration
Memory Core implementation:
- Memory service with 6 types: identity, preference, project, episodic, knowledge, adaptation
- CRUD operations: create (with dedup), get (filtered), update, invalidate, supersede
- Confidence scoring (0.0-1.0) and lifecycle management (active/superseded/invalid)
- Memory API endpoints: POST/GET/PUT/DELETE /memory
Context builder integration (trust precedence per Master Plan):
1. Trusted Project State (highest trust, 20% budget)
2. Identity + Preference memories (10% budget)
3. Retrieved chunks (remaining budget)
Also fixed database.py to use dynamic settings reference for test isolation.
45/45 tests passing.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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2026-04-05 09:54:52 -04:00 |
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