export type Embedder = (texts: string[]) => Promise<number[][]>;
export declare const DEFAULT_EMBEDDING_MODEL = "text-embedding-3-small";
/** Split text into chunks of at most maxChars (embeddings have token limits). */
export declare function chunkText(text: string, maxChars?: number): string[];
/** Pack a float vector into a compact Float32 BLOB for SQLite storage. */
export declare function serializeVector(vec: number[]): Buffer;
/** Unpack a Float32 BLOB back into a vector. */
export declare function deserializeVector(buf: Buffer): Float32Array;
/** Real embedder backed by the OpenAI embeddings API (reads OPENAI_API_KEY). */
export declare function openaiEmbedder(model?: string): Embedder;
export interface EmbedOptions {
    /** Embedder to use (defaults to OpenAI). Inject a fake in tests. */
    embedder?: Embedder;
    model?: string;
    /** Max messages to embed in this run. */
    limit?: number;
    maxChars?: number;
}
export interface EmbedResult {
    messagesProcessed: number;
    chunksEmbedded: number;
}
/**
 * Generate embeddings for messages that don't have any yet, storing one row per
 * chunk in the embeddings table. Idempotent — already-embedded messages are skipped.
 */
export declare function embedSessions(opts?: EmbedOptions): Promise<EmbedResult>;
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