export declare const EMBEDDING_DIM = 384;
export declare const EMBEDDING_MODEL_ID = "fast-bge-small-en-v1.5";
export declare const DEFAULT_EMBEDDINGS_FETCH_TIMEOUT_MS = 180000;
export declare function embeddingsFetchTimeoutMs(): number;
export declare function embeddingsCacheDir(): string;
export declare function modelCachePresent(): boolean;
export declare function semanticEvicted(args: {
    denseDocCount: number;
    modelPresent: boolean;
}): boolean;
export declare function isEmbeddingsInteractive(opts: {
    json?: boolean;
    stdinTTY?: boolean;
    stdoutTTY?: boolean;
}): boolean;
export interface Embedder {
    embedPassages(texts: readonly string[], onProgress?: (done: number, total: number) => void): Promise<Float32Array[]>;
    embedQuery(query: string): Promise<Float32Array>;
}
export type EmbedderLoad = {
    available: true;
    embedder: Embedder;
} | {
    available: false;
    reason: string;
    classification?: "offline" | "stalled" | "locked" | "corrupt" | "error";
};
export declare function __setTestEmbedder(embedder: Embedder | null): void;
export interface LoadEmbedderOpts {
    showDownloadProgress?: boolean;
    fetchTimeoutMs?: number;
    signal?: AbortSignal;
    onProgress?: (bytesDone: number, totalBytes: number) => void;
}
export declare function __resetEmbedderCache(): void;
export declare function embedderMemoized(): boolean;
export declare function loadEmbedder(opts?: LoadEmbedderOpts): Promise<EmbedderLoad>;
export declare function cosine(a: Float32Array, b: Float32Array): number;
export declare function vectorToBlob(v: Float32Array): Uint8Array;
export declare function blobToVector(blob: Uint8Array | ArrayBuffer): Float32Array;
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