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3 commits

Author SHA1 Message Date
Shay
1e01f7794e feat(evals): Phase 0 — benchmark methodology lock-in and eval framework
Implement the eval infrastructure defined in ADR-0016 before building new
eval lanes. This establishes the discipline that governs the entire
capability roadmap.

- Generic eval framework (evals/framework.py): lane discovery, versioned
  scoring, result persistence
- Cognition lane retrofitted into new convention: 45 cases split into
  stratified dev (13) / public v1 (13) / holdout (19) sets with contract,
  runner, and recorded results
- Generalized `core eval <lane>` CLI: dynamic lane discovery, --list,
  --version, --split, --save, --json flags
- Holdout runner scaffold: plaintext fallback, encryption interface ready
- Baseline runner scaffold: pluggable frontier model interface
- Fix: CognitiveTurnPipeline.run() crashed on turn_log[-1] when the
  unknown-domain gate returned a stub without appending to turn_log
- ADR-0016, eval_methodology.md, PROGRESS.md, capability gates session log

Phase 0 exit audit found two methodology issues:
1. Pipeline turn_log crash (fixed here)
2. Versor drift in multi-turn sessions (pre-existing, under investigation)
2026-05-15 22:36:53 -07:00
Shay
523c072818 feat: vault recall index, Rust versor parity, cognitive pack expansion
Phase 3 — vault exact recall index:
- Replace O(N) np.array_equal scan with hash-based exact-match index
- Add optional max_entries with deterministic FIFO eviction
- Index rebuilds on reproject for consistency

Phase 4 — Rust versor_apply parity:
- Fix CGA metric signature (+,+,+,+,-) and blade ordering to match Python
- Implement versor_apply_closed with null-vector preservation, f64 unitize,
  and construction seed fallback matching Python closure semantics
- Gate Rust dispatch behind CORE_BACKEND=rust; Python remains default
- Add f64 geometric product for closure-path precision

Phase 5 — cognitive quality pack expansion:
- Expand lexicon from 55 to 70 entries (evidence, inference, procedure,
  verification, distinction, relation, thought, understanding, judgment,
  principle, order, connectives)
- Improve semantic templates for cause, procedure, comparison, recall,
  verification intents
- Expand eval cases from 20 to 45 across all categories

Validation: 491 tests pass, 45 eval cases at 100% all metrics.
2026-05-15 15:34:39 -07:00
Shay
366f7a08c4
Add cognitive eval harness and calibration replay (#30)
* feat: add cognitive eval harness with CLI integration

20 eval cases across 8 categories (definition, comparison, cause,
procedure, recall, correction, verification, unknown). Metrics:
intent accuracy, term capture, surface groundedness, versor closure,
trace determinism. CLI: `core eval cognition [--json] [--report PATH]`.

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

* feat: add operator calibration replay with deterministic grid search

Bounded parameter tuning via eval replay evidence. Grid search over
salience_top_k and inhibition_threshold with invariant regression
guard (versor closure must not regress). Frozen CalibrationParams,
before/after metrics, no pack or identity mutation.

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

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-05-15 07:41:36 -07:00