/**
 * Embedding model loader.
 *
 * Lazy-loads all-MiniLM-L6-v2 via @xenova/transformers (optional dep).
 * Model is ~22MB, cached to disk after first download.
 * Runs in pure JS/WASM -- no native bindings needed.
 *
 * @module agent-threat-rules/embedding/model-loader
 */
export interface EmbeddingModel {
    /** Encode text to embedding vector */
    encode(text: string): Promise<Float32Array>;
    /** Encode multiple texts (batched) */
    encodeBatch(texts: readonly string[]): Promise<Float32Array[]>;
    /** Initialize / load the model */
    initialize(): Promise<void>;
    /** Model output dimension */
    readonly dimension: number;
    /** Whether model is loaded */
    readonly isLoaded: boolean;
}
export declare class TransformersJSModel implements EmbeddingModel {
    readonly dimension = 384;
    private pipeline;
    get isLoaded(): boolean;
    /** Lazy-load the model on first use */
    initialize(): Promise<void>;
    encode(text: string): Promise<Float32Array>;
    encodeBatch(texts: readonly string[]): Promise<Float32Array[]>;
}
/** Create a no-op model for testing */
export declare class MockEmbeddingModel implements EmbeddingModel {
    readonly dimension = 384;
    readonly isLoaded = true;
    private readonly mockVectors;
    constructor(mockVectors?: Map<string, Float32Array>);
    initialize(): Promise<void>;
    encode(text: string): Promise<Float32Array>;
    encodeBatch(texts: readonly string[]): Promise<Float32Array[]>;
}
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