/**
 * MAMA (Memory-Augmented MCP Architecture) - Embedding Cache
 *
 * LRU cache for embedding vectors to avoid re-computation
 *
 * Task 2: Implement Embedding Cache
 * AC #3: Cache embeddings to avoid re-computation
 * Target: > 80% cache hit ratio
 *
 * @module embedding-cache
 */
export declare const MAX_CACHE_SIZE = 1000;
interface CacheStats {
    hits: number;
    misses: number;
    evictions: number;
    totalSize: number;
}
export interface CacheStatsReport extends CacheStats {
    hitRatio: number;
    size: number;
    maxSize: number;
}
/**
 * LRU Cache for embeddings
 *
 * Key: SHA-256 hash of decision text
 * Value: {embedding: Float32Array, timestamp: number, hits: number}
 *
 * Eviction: Least Recently Used when size > MAX_CACHE_SIZE
 */
export declare class EmbeddingCache {
    private cache;
    private stats;
    constructor();
    /**
     * Generate cache key from text
     *
     * Task 2.3: Key = decision text hash (SHA-256)
     */
    generateKey(text: string): string;
    /**
     * Get embedding from cache
     *
     * Task 2.2: Cache hit updates LRU position
     */
    get(text: string): Float32Array | null;
    /**
     * Store embedding in cache
     *
     * Task 2.2: Add to cache with LRU tracking
     * Task 2.5: Implement cache eviction (LRU)
     */
    set(text: string, embedding: Float32Array): void;
    /**
     * Evict least recently used entries
     *
     * Task 2.5: Implement cache eviction (LRU)
     * Strategy: Remove entries until size <= MAX_CACHE_SIZE
     *
     * Eviction order:
     * 1. Oldest lastAccessed (LRU)
     * 2. If tied, lowest hits
     */
    evictLRU(): void;
    /**
     * Get cache hit ratio
     *
     * Task 2.4: Cache hit ratio target: > 80%
     */
    getHitRatio(): number;
    /**
     * Get cache statistics
     */
    getStats(): CacheStatsReport;
    /**
     * Clear cache
     */
    clear(): void;
}
export declare const embeddingCache: EmbeddingCache;
export {};
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