/**
 * Knowledge Aggregator — Stage 2 of FR-A05 two-stage pipeline.
 *
 * Reads unconsumed staging materials, performs LLM-based semantic clustering
 * and abstraction, then writes aggregated knowledge through the quality gate
 * into the entries table.
 *
 * This module provides a standalone entry point for Stage 2 that can be
 * triggered independently of Stage 1 extraction (e.g., via CLI or cron).
 */
export interface AggregatorOptions {
    /** Skip quality gate checks on produced entries */
    skipQualityGate?: boolean;
    /** Maximum materials to process in one run (env: KIVO_AGGREGATOR_MAX_MATERIALS) */
    maxMaterials?: number;
    /** Working directory for resolving DB path */
    cwd?: string;
    /** Dry run — don't write to DB */
    dryRun?: boolean;
}
export interface AggregatorResult {
    /** Number of pending staging materials found */
    pendingMaterials: number;
    /** Number of aggregated knowledge entries produced */
    knowledgeProduced: number;
    /** Number of entries that passed quality gate and were written */
    knowledgeWritten: number;
    /** Number of staging materials marked as consumed */
    materialsConsumed: number;
    /** Errors encountered */
    errors: string[];
}
/**
 * Run Stage 2 knowledge aggregation independently.
 *
 * 1. Reads all pending staging materials from DB
 * 2. Sends them to LLM for semantic clustering + abstraction
 * 3. Validates produced knowledge through quality gate
 * 4. Writes passing entries to the knowledge base
 * 5. Marks consumed staging materials
 */
export declare function runKnowledgeAggregation(options?: AggregatorOptions): Promise<AggregatorResult>;
/**
 * Format aggregation result for CLI output.
 */
export declare function formatAggregatorResult(result: AggregatorResult, dryRun: boolean): string;
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