/**
 * Conservative offline policy optimization.
 *
 * Generates a candidate routing policy from validated evaluation artifacts.
 * The optimizer adjusts rankings, identifies dominated candidates, suggests
 * thresholds/rules, and identifies evidence gaps. It NEVER activates a policy:
 * promotion requires an explicit gate.
 */
import type { CandidateEvidence, RoutingPolicyCandidate } from "./types.js";
export interface OptimizationInput {
    candidateIds: string[];
    evidenceById: Record<string, CandidateEvidence>;
    evaluatorVersion: string;
    /** Immutable content-addressable dataset identity. */
    sourceDatasetHash: string;
}
export interface OptimizationResult {
    policy: RoutingPolicyCandidate;
    ranked: {
        candidateId: string;
        quality: number;
    }[];
    dominatedCandidateIds: string[];
    evidenceGaps: string[];
}
/**
 * Derive a candidate policy from an immutable evidence dataset.
 * Quality is a deterministic blend of correctness, reliability and safety,
 * penalized by uncertainty. No candidate self-report is used as a label.
 */
export declare function generateRoutingPolicy(candidateIds: string[], evidenceById: Record<string, CandidateEvidence>, evaluatorVersion: string, sourceDatasetHash: string): OptimizationResult;
export declare function responseUncertainty(ev: CandidateEvidence): number;
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