/**
 * Release Confidence Aggregator — pure scorer.
 *
 * P3 — qulib Confidence Layer v1.
 *
 * Pure function: no I/O, no side effects. All I/O (CLI, MCP) lives in the wiring layer.
 * Algorithm mirrors computeAutomationMaturity's denominator-renormalization math, generalized
 * to operate over a heterogeneous evidence bundle.
 *
 * Score formula:
 *   confidenceScore = round( Σ score_i * weight_i / Σ weight_i )
 *   where i ∈ { applicable items with score !== null }
 *
 * Excluded from denominator: not_applicable | unknown | score === null items.
 * Each excluded item is reported in contributions + narrated in honestyNotes.
 *
 * Verdict ladder (mirrors agent-summary.ts deriveGate, lifted to fused score):
 *   any blocking item              → block
 *   confidenceScore === null       → block  (nothing evaluable; honesty floor)
 *   confidenceScore < failThreshold → hold
 *   unknown on a requiredSource OR
 *   confidenceScore < passThreshold → caution
 *   else                           → ship
 */
import type { ConfidenceInput, ReleaseConfidence } from '../../schemas/confidence.schema.js';
/**
 * Compute the fused Release Confidence result from an evidence bundle.
 *
 * Pure function — deterministic over the same input.
 */
export declare function computeReleaseConfidence(input: ConfidenceInput): ReleaseConfidence;
//# sourceMappingURL=confidence.d.ts.map