Commit Graph
2 Commits
Author SHA1 Message Date
704bf93e08 feat(categorize): confidence calibration engine + measurement loop (cascade step 4) (#1784)
Turns the selector's raw confidence into a score that means what it says.

- lib/agent/categorize/calibration.ts: the engine. Isotonic regression
  (pool-adjacent-violators, distribution-free + monotonic) over
  (confidence, was_correct) samples → a calibrator; plus reliabilityByBucket,
  ECE, and bandFor(). bandFor NEVER returns 'auto' without a fitted calibrator
  (no silent booking on an unproven score) and never auto-books above an amount
  cap. 12 engine tests (overconfidence pulled down, underconfidence lifted,
  monotonicity, ECE, band gating).
- Measurement loop: migration categorize_calibration_samples (append-only,
  company-scoped RLS, confidence CHECK [0,1]) + POST /api/agent/categorize/
  outcome logging one sample (proposed vs actually booked) fire-and-forget from
  QuickReviewDialog on a successful book (sandbox skipped). AiCategorizeProposal
  surfaces the proposal metadata via onProposal.
- scripts/fit-categorize-calibration.ts (read-only): prints the reliability
  diagram + ECE + fitted calibrator once data has accumulated.

Fitting needs a few hundred real outcomes, so nothing calibrates today — the
loop starts collecting, and "säker" stays uncalibrated (no auto-book) until the
data proves it. 131 unit tests green; RLS covered by a pg-real test.

Co-authored-by: Jakob Wennberg <311770904+jakobwennberg-oss@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-08-21 15:55:26 +02:00
e7a5e65ecf feat(categorize): Tier 1 candidate gathering + the proposal route (#1781)
The auto-booking cascade end to end (retrieval → selector), minus the write.

- lib/agent/categorize/candidates.ts (Tier 1): assembles the deterministic
  candidate slate for a transaction — the learned counterparty template
  (strongest, carries its own VAT) plus mapping rules / patterns / per-merchant
  history via the same engine gnubok_suggest_categories uses. No model call.
  Deduped by account (highest confidence wins), capped; suggestions get the
  category's default VAT treatment derived.
- POST /api/agent/categorize: loads the transaction + company VAT context,
  runs Tier 1 → Tier 2 selectAccount, returns the proposed account + VAT +
  confidence + reasoning + the candidate slate. Never posts anything — the
  caller renders an approval card. Gated on configured (any provider incl.
  local), same gates as /api/agent/ask.

12 tests: candidate merge/dedupe/VAT-derivation, and the route (401/429/400/
403/404/503 + happy path threading entity type, VAT, underlag, samples).

Co-authored-by: Jakob Wennberg <311770904+jakobwennberg-oss@users.noreply.github.com>
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-08-21 13:32:09 +02:00