feat(calibration): claimed-confidence reliability curves with derived threshold suggestion (#8252)

Bucket a rule's decided BacktestCases by claimed confidence
(metadata.confidence) into fixed 0.05-step edges and report per-bucket
empirical precision (null below the sample floor, never 0), then derive
the loosest floor whose at-or-above pooled precision meets a target --
never below the hard minimum, null on insufficient pooled density.
Engine-exported; no consumer changes (#8226, epic #8211 track E).

Author: oktofeesh1

packages/loopover-engine/src/calibration/reliability-curve.ts

@@ -0,0 +1,160 @@
+// Per-rule reliability curve + derived threshold suggestion (#8226, epic #8211 track E). Knob evaluation
+// (src/services/loosening-knobs.ts) steps down hand-picked candidate ladders; the labeled corpus supports
+// something strictly better: bucket a rule's decided cases by their CLAIMED confidence (metadata.confidence,
+// the same channel buildConfidenceThresholdClassifier reads, #8138), measure each bucket's EMPIRICAL
+// precision against the human verdicts, and let the optimal floor fall out of the curve instead of being
+// guessed. This module is the pure math only -- no advisor/registry integration (maintainer follow-on).
+//
+// Same purity contract as the rest of this module family: no IO, no randomness, no wall-clock reads.
+
+import type { BacktestCase } from "./backtest-corpus.js";
+
+/** One claimed-confidence bucket of a {@link ReliabilityCurve}: its `[floor, ceiling)` confidence range
+ *  (the curve's TOP bucket is ceiling-inclusive so a claimed confidence of exactly 1 is bucketable), the
+ *  decided cases whose claimed confidence landed in it, their confirmed/reversed verdict split, and the
+ *  bucket's empirical precision (`confirmed / cases`) -- null, never 0, when `cases` sits below the curve's
+ *  sample floor, the same "unknown stays unknown" discipline as RulePrecisionReport.precision (#8085). */
+export type ReliabilityBucket = {
+  floor: number;
+  ceiling: number;
+  cases: number;
+  confirmed: number;
+  reversed: number;
+  precision: number | null;
+};
+
+/** A rule's claimed-confidence reliability curve: `buckets` ascending by `floor`, plus the `sampleFloor`
+ *  the per-bucket precisions were computed under -- carried so {@link deriveThresholdSuggestion} can apply
+ *  the SAME never-on-noise floor to its pooled counts. */
+export type ReliabilityCurve = {
+  sampleFloor: number;
+  buckets: ReliabilityBucket[];
+};
+
+/** Default bucket edges: one catch-all below 0.3, then 0.05-wide buckets up to 1 -- the SAME granularity
+ *  the loosenable-knob registry's candidate ladders step at (loosening-knobs.ts: [0.45, 0.4, 0.35, 0.3]
+ *  and [0.9, 0.85]), so every floor the registry could actually adopt, both hard minimums (0.3, 0.85)
+ *  included, is exactly a bucket floor a suggestion can land on. No shipped floor lives below 0.3, hence
+ *  the single catch-all there. Sparse corpora keep their honesty either way: a thin bucket reports null
+ *  precision, and {@link deriveThresholdSuggestion} pools at-or-above buckets before judging density. */
+export const DEFAULT_RELIABILITY_BUCKET_EDGES: readonly number[] = [
+  0, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.85, 0.9, 0.95, 1,
+];
+
+/** Minimum decided cases before a bucket (or a pooled suggestion window) reports a real precision --
+ *  below it the value is null, never 0. 5 mirrors the registry's smallest never-on-noise floor
+ *  (loosening-knobs.ts minHeldOutCases: 5) and MIN_CALIBRATION_SAMPLES (contributor-calibration.ts). */
+export const RELIABILITY_BUCKET_SAMPLE_FLOOR = 5;
+
+/** Index of the bucket containing `claimed` under half-open `[floor, ceiling)` edges with a
+ *  ceiling-INCLUSIVE top bucket, or -1 when it lands in none (below the first edge, above the last, or
+ *  NaN -- the negated first guard makes NaN fail closed into -1 rather than landing in a bucket). */
+function bucketIndexFor(claimed: number, bucketEdges: readonly number[]): number {
+  if (!(claimed >= bucketEdges[0]!)) return -1;
+  for (let i = 1; i < bucketEdges.length; i++) {
+    if (claimed < bucketEdges[i]!) return i - 1;
+  }
+  return claimed === bucketEdges[bucketEdges.length - 1]! ? bucketEdges.length - 2 : -1;
+}
+
+/**
+ * Bucket `cases` by their CLAIMED confidence (`metadata.confidence`) and report each bucket's empirical
+ * precision against the human verdicts. A case with no numeric claimed confidence contributes to no bucket:
+ * this deliberately DIVERGES from buildConfidenceThresholdClassifier's degrade-to-1 fallback (#8138) --
+ * that function must DECIDE every case, this one MEASURES claim reliability, and fabricating a confidence-1
+ * claim would corrupt the top bucket's evidence (same "drop rather than guess" posture as
+ * repo-corpus-slice's unparseable-key handling). An out-of-range claim (below the first edge, above the
+ * last) is likewise dropped, never clamped into a bucket. A bucket below `sampleFloor` reports null
+ * precision, never 0. Throws on malformed `bucketEdges` (fewer than 2, out of [0, 1], or not strictly
+ * ascending) or a `sampleFloor` below 1 -- caller bugs, mirroring splitBacktestCorpus's guard; the negated
+ * compound forms make NaN fail closed into the throw. Pure and deterministic.
+ */
+export function computeReliabilityCurve(
+  cases: readonly BacktestCase[],
+  bucketEdges: readonly number[] = DEFAULT_RELIABILITY_BUCKET_EDGES,
+  sampleFloor: number = RELIABILITY_BUCKET_SAMPLE_FLOOR,
+): ReliabilityCurve {
+  if (bucketEdges.length < 2) {
+    throw new Error(`invalid_bucket_edges: need at least 2 edges, got ${bucketEdges.length}`);
+  }
+  for (let i = 0; i < bucketEdges.length; i++) {
+    if (!(bucketEdges[i]! >= 0 && bucketEdges[i]! <= 1)) {
+      throw new Error(`invalid_bucket_edges: edge outside [0, 1]: ${bucketEdges[i]}`);
+    }
+    if (i > 0 && !(bucketEdges[i]! > bucketEdges[i - 1]!)) {
+      throw new Error(`invalid_bucket_edges: edges must be strictly ascending at index ${i}`);
+    }
+  }
+  if (!(sampleFloor >= 1)) {
+    throw new Error(`invalid_sample_floor: ${sampleFloor}`);
+  }
+  const counts = bucketEdges.slice(0, -1).map(() => ({ cases: 0, confirmed: 0, reversed: 0 }));
+  for (const backtestCase of cases) {
+    const claimed = backtestCase.metadata?.confidence;
+    if (typeof claimed !== "number") continue;
+    const index = bucketIndexFor(claimed, bucketEdges);
+    if (index === -1) continue;
+    const bucket = counts[index]!;
+    bucket.cases += 1;
+    if (backtestCase.label === "confirmed") bucket.confirmed += 1;
+    else bucket.reversed += 1;
+  }
+  return {
+    sampleFloor,
+    buckets: counts.map((count, i) => ({
+      floor: bucketEdges[i]!,
+      ceiling: bucketEdges[i + 1]!,
+      cases: count.cases,
+      confirmed: count.confirmed,
+      reversed: count.reversed,
+      // sampleFloor >= 1 (validated above), so a passing count.cases is never 0 -- no divide-by-zero arm.
+      precision: count.cases >= sampleFloor ? count.confirmed / count.cases : null,
+    })),
+  };
+}
+
+/**
+ * Derive the LOOSEST confidence floor the curve's evidence supports: the lowest bucket floor at or above
+ * `hardMinimum` whose at-or-above buckets' POOLED precision (pooled confirmed / pooled cases, raw counts --
+ * a bucket individually below the sample floor still contributes its cases to the pool) meets
+ * `targetPrecision`, with the pool itself subject to the curve's own `sampleFloor` (a pooled window below
+ * it is unknown, not 0, so it can never qualify). Null when no candidate floor qualifies -- including when
+ * the only precision-meeting floors sit below `hardMinimum` (a suggestion is never clamped UP to a floor
+ * whose own pooled evidence was not checked) or when pooled density is insufficient everywhere.
+ * Conservative by construction and deterministic: same curve + parameters, same suggestion. Throws when
+ * `targetPrecision` or `hardMinimum` is outside [0, 1] (negated compound guards, so NaN fails closed) --
+ * caller bugs, mirroring splitBacktestCorpus.
+ */
+export function deriveThresholdSuggestion(
+  curve: ReliabilityCurve,
+  targetPrecision: number,
+  hardMinimum: number,
+): number | null {
+  if (!(targetPrecision >= 0 && targetPrecision <= 1)) {
+    throw new Error(`invalid_target_precision: ${targetPrecision}`);
+  }
+  if (!(hardMinimum >= 0 && hardMinimum <= 1)) {
+    throw new Error(`invalid_hard_minimum: ${hardMinimum}`);
+  }
+  const { buckets, sampleFloor } = curve;
+  // Suffix-pooled raw counts: pooledCases[i]/pooledConfirmed[i] cover every bucket whose floor is at or
+  // above buckets[i].floor (buckets ascend by floor, so the pool for candidate i is the suffix from i).
+  const pooledCases: number[] = new Array<number>(buckets.length).fill(0);
+  const pooledConfirmed: number[] = new Array<number>(buckets.length).fill(0);
+  let cases = 0;
+  let confirmed = 0;
+  for (let i = buckets.length - 1; i >= 0; i--) {
+    cases += buckets[i]!.cases;
+    confirmed += buckets[i]!.confirmed;
+    pooledCases[i] = cases;
+    pooledConfirmed[i] = confirmed;
+  }
+  for (let i = 0; i < buckets.length; i++) {
+    if (buckets[i]!.floor < hardMinimum) continue;
+    // Suffix pools only shrink as the floor tightens, so once density fails here it fails for every later
+    // candidate too -- the uniform guard just lets the loop run out to the null below.
+    if (pooledCases[i]! < sampleFloor) continue;
+    if (pooledConfirmed[i]! / pooledCases[i]! >= targetPrecision) return buckets[i]!.floor;
+  }
+  return null;
+}

packages/loopover-engine/src/index.ts

@@ -179,6 +179,7 @@ export * from "./calibration/backtest-track-record.js";
 export * from "./calibration/backtest-split.js";
 export * from "./calibration/backtest-threshold.js";
 export * from "./calibration/provider-track-record.js";
+export * from "./calibration/reliability-curve.js";
 export {
   GOVERNOR_LEDGER_EVENT_TYPES,
   normalizeGovernorLedgerEvent,