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feat(phase5): hierarchical abstraction engine (v3.11)#164

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feat(phase5): hierarchical abstraction engine (v3.11)#164
salishforge wants to merge 1 commit into
feat/phase5-causal-graphfrom
feat/phase5-abstractions

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Summary

Feature 4 of the Phase 5 split from umbrella #129. Stacked on #163 (causal graph), which stacks on #160.

  • abstractions table with a stored md5(content) hash and UNIQUE (agent_id, level, namespace, content_hash) — the umbrella's ON CONFLICT DO NOTHING had no conflict target, so every cycle would have re-inserted the same principles forever.
  • Sleep Phase 5.11 extracts principles from ≥ 3 meta-reflections via LLM. Re-derivation acts as corroboration (GREATEST confidence, confident re-derivations revive deactivated principles, weak ones cannot resurrect retired junk). Injection-guarded prompt with wrapped content and explicit output limits. Not skip-gated; cancellation checkpoint before the LLM call; real per-phase token spend now lands in sleep_phase_analytics (the runPhase wrapper previously hardcoded 0 — fine while all wrapped phases were SQL-only, wrong for the first LLM phase).
  • GET /principles, GET /abstractions, memforge_principles + memforge_mental_models MCP tools (real executors; descriptions state honestly that only the principle level is auto-extracted today), TS + Python SDKs incl. resilient wrappers, OpenAPI with a shared Abstraction component.

Review process

3-stage implementation workflow, then a 20-agent adversarial review: 16 raw findings → 12 confirmed, all fixed. Three verifier agents died on a session limit mid-run; I adjudicated their findings manually — two were real (missing cancellation checkpoint before the new LLM call; frozen-confidence/no-revival upsert semantics) and are fixed, one duplicated an already-confirmed finding.

Test evidence

Suite Result
npm run type-check / npm run lint clean
tests/abstractions.test.ts (new) 39/39
npm run test:causal-graph 39/39
npm run test:dream-runs 10/10
npm run test:integration 24/24

Dev-DB migration applied and verified idempotent.

🤖 Generated with Claude Code

https://claude.ai/code/session_011xCqQo49d3CEbn6oEvb3Ru

Feature 4 of the Phase 5 split (umbrella #129): Sleep Phase 5.11
distills cross-cutting principles from accumulated meta-reflections
into a queryable abstractions store.

- abstractions table (migration-v3.11.sql + canonical schema): level
  CHECK (principle|strategy|mental_model), stored md5 content_hash
  with UNIQUE (agent_id, level, namespace, content_hash) — the
  umbrella's ON CONFLICT DO NOTHING had no conflict target and would
  have duplicated every principle every cycle. RLS + grants.
- Phase 5.11: gated on LLM presence, token budget, and >= 3
  meta-reflections; prompt carries the codebase-standard injection
  guard, wraps reflection content via wrapUserContent, and states the
  schema's own limits (max 10, under 2000 chars, empty-array escape)
  so one overlong item does not sink the batch silently. Re-derivation
  is corroboration: ON CONFLICT keeps GREATEST confidence and revives
  a deactivated principle only when the fresh derivation is confident
  (>= 0.5); the conditional WHERE keeps change counts honest. Age-based
  deactivation of stale sub-0.2 principles. Not skip-gated (input
  accumulates independently). Cancellation checkpoint before the LLM
  call so canceled dream runs stop paying. runPhase now records real
  per-phase token spend in sleep_phase_analytics; count surfaces as
  SleepCycleResult.principles_extracted.
- getAbstractions()/getPrinciples(), GET /principles + /abstractions
  routes, memforge_principles + memforge_mental_models MCP tools wired
  to real client methods (honest description: only 'principle' is
  auto-extracted today), TS + Python SDKs incl. resilient wrappers,
  tool-definitions, OpenAPI with shared Abstraction component.
- tests/abstractions.test.ts: 39 tests — read paths, extraction incl.
  dedup/revival/confidence-raise/skip-gate immunity/token attribution/
  budget + window gates/malformed + schema-invalid + missing-key LLM
  output, deactivation age and scope boundaries, ordering tiebreak,
  HTTP status paths, migration shape + RLS.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011xCqQo49d3CEbn6oEvb3Ru
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