/**
 * Memory Bridge — shared helpers: error logging, embedding validation,
 * limits, automem config and usage/feedback weights. Split out of
 * memory-bridge.ts, which re-exports the public symbols.
 */
/**
 * R1: surface swallowed errors when DEBUG/MONOMIND_DEBUG is on. The bridge
 * has ~12 `} catch { return null; }` sites that collapse SQLITE_BUSY,
 * EACCES, disk-full, and schema mismatches into "no matches" with zero
 * diagnostic. Behavior contract (return null on failure) is unchanged;
 * observability is added. Caller passes the bridge fn name + the thrown
 * value so the log is greppable per call site.
 */
export declare function logBridgeError(label: string, err: unknown): void;
export declare function safeParseEmbedding(raw: string | null | undefined): number[] | null;
export declare const BRIDGE_EMBEDDING_MODEL = "Alibaba-NLP/gte-modernbert-base";
export declare const BRIDGE_EMBEDDING_DIMS = 768;
export declare const BRIDGE_MAX_KEY_LEN: number;
export declare const BRIDGE_MAX_VALUE_LEN: number;
export declare const MAX_TAGS = 32;
export declare const MAX_TAG_LEN = 64;
export declare const DEFAULT_SEARCH_THRESHOLD = 0.3;
export declare function capResultContent(content: string): string;
export declare function getAutomemConfig(): {
    dedupThreshold: number;
    staleDays: number;
    feedbackInfluence: number;
};
export declare const FEEDBACK_EWMA_ALPHA = 0.1;
export declare function entryWeights(metadata: unknown): {
    feedback: number;
    frequency: number;
};
/** Blend learned usefulness into a GENUINE embedding-similarity score.
 *  Cognee guard: never applied to keyword-fallback scores — those carry no
 *  real relevance signal, and blending there lets a high-feedback stale entry
 *  outrank relevant matches and self-reinforce (rich-get-richer). */
export declare function blendScore(cosineSim: number, weights: {
    feedback: number;
    frequency: number;
}, influence: number): number;
export declare function generateId(prefix: string): string;
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