/**
 * Forgen Meta-Learning — Shared Types
 *
 * HyperAgents-inspired self-tuning layer above the compound system.
 * All types consumed by the meta-learning runner and its sub-modules.
 */
export interface SessionQualityScore {
    sessionId: string;
    /** corrections per prompt in this session */
    correctionRate: number;
    /** final EWMA drift score (0-100) */
    driftScore: number;
    /** total reverts detected */
    revertCount: number;
    /** reflected / injected ratio (0-1, NaN → 0 if no injections) */
    solutionEffectiveness: number;
    /** composite score 0-100 (higher = better) */
    overallScore: number;
    /** which solutions were injected this session */
    injectedSolutions: string[];
    computedAt: string;
}
export interface MatcherWeights {
    tfidf: number;
    bm25: number;
    bigram: number;
    updatedAt: string;
    /** how many solutions informed this tuning */
    sampleSize: number;
    /** monotonic version for rollback detection */
    version: number;
    /** original defaults for fallback */
    defaults: {
        tfidf: number;
        bm25: number;
        bigram: number;
    };
}
export interface PromotionThresholds {
    reflected: number;
    sessions: number;
    reExtracted: number;
}
export interface AdaptiveLifecycleThresholds {
    experiment: PromotionThresholds;
    candidate: PromotionThresholds;
    verified: PromotionThresholds & {
        negative: number;
    };
    /** solutions per week */
    learningVelocity: number;
    updatedAt: string;
    sampleSize: number;
    defaults: {
        experiment: PromotionThresholds;
        candidate: PromotionThresholds;
        verified: PromotionThresholds & {
            negative: number;
        };
    };
}
export interface ExtractionBias {
    typeWeights: Record<string, number>;
    updatedAt: string;
    sampleSize: number;
}
export interface ProjectUsageEntry {
    projects: string[];
    updatedAt: string;
}
export interface ProjectUsageMap {
    solutions: Record<string, ProjectUsageEntry>;
}
export interface MetaLearningFeatures {
    sessionQualityScorer: boolean;
    matcherWeightTuning: boolean;
    scopeAutoPromotion: boolean;
    adaptiveThresholds: boolean;
    extractionTuning: boolean;
}
export interface ColdStartConfig {
    minSessionsForQuality: number;
    minSolutionsForMatcher: number;
    minSolutionsForThresholds: number;
    minSolutionsForExtraction: number;
    minProjectsForScope: number;
}
export interface GuardrailConfig {
    weightFloor: number;
    weightCeiling: number;
    maxWeightDelta: number;
    thresholdFloor: number;
    thresholdCeiling: number;
    maxThresholdDelta: number;
    degradationThreshold: number;
}
export interface MetaLearningConfig {
    enabled: boolean;
    features: MetaLearningFeatures;
    coldStart: ColdStartConfig;
    guardrails: GuardrailConfig;
}
export interface MetaLearningResult {
    skipped?: boolean;
    reason?: string;
    qualityScore?: SessionQualityScore | null;
    matcherWeights?: MatcherWeights | null;
    scopePromotions?: string[];
    thresholds?: AdaptiveLifecycleThresholds | null;
    extractionBias?: ExtractionBias | null;
}
export declare const DEFAULT_CONFIG: MetaLearningConfig;
export declare const DEFAULT_MATCHER_WEIGHTS: MatcherWeights['defaults'];
export declare const DEFAULT_PROMOTION_THRESHOLDS: AdaptiveLifecycleThresholds['defaults'];