/**
 * agentfootprint/embedders — ready-made {@link Embedder} implementations for the
 * embedding-backed scorers (memory retrieval, toolChoiceRecorder / scoreMargin).
 *
 * The core deliberately ships only `mockEmbedder` (bring-your-own). These are
 * OPTIONAL and never pulled into the core: each heavy backend is an OPTIONAL
 * PEER DEPENDENCY, imported LAZILY on first embed, so you install ONLY the one
 * you use and agentfootprint stays dependency-free.
 *
 *   openaiEmbedder() — hosted; needs OPENAI_API_KEY; no extra install (fetch).
 *   localEmbedder()  — on-device sentence-transformer; no key; offline after a
 *                      one-time model fetch. peer dep: @huggingface/transformers.
 *   staticEmbedder() — pure-JS Model2Vec static vectors; no key, no network
 *                      (weights bundled). peer dep: @yarflam/potion-base-8m.
 *
 * All three satisfy the same `Embedder` shape, so they drop into
 * `toolChoiceRecorder({ embedder })` / `semanticPipeline({ embedder })` etc.
 * unchanged. Dimensions differ per model — never mix two in one store.
 */
import type { Embedder } from '../memory/embedding/types.js';
export interface OpenAIEmbedderOptions {
    /** Default: process.env.OPENAI_API_KEY. */
    readonly apiKey?: string;
    /** Default: 'text-embedding-3-small'. */
    readonly model?: string;
    /** Vector length the model returns. Default 1536 (text-embedding-3-small). */
    readonly dimensions?: number;
    /** Override the API base (Azure/OpenAI-compatible gateways). */
    readonly baseURL?: string;
}
export declare function openaiEmbedder(options?: OpenAIEmbedderOptions): Embedder;
export interface LocalEmbedderOptions {
    /** ONNX model id. Default 'Xenova/all-MiniLM-L6-v2' (384-dim). */
    readonly model?: string;
    /** Vector length of the model. Default 384. */
    readonly dimensions?: number;
    /** Quantization. Default 'q8' (smallest); use 'fp32' for max fidelity. */
    readonly dtype?: string;
    /** On-disk model cache directory. */
    readonly cacheDir?: string;
}
export declare function localEmbedder(options?: LocalEmbedderOptions): Embedder;
export interface StaticEmbedderOptions {
    /** Vector length of the bundled model. Default 256 (potion-base-8m). */
    readonly dimensions?: number;
    /** Override the package specifier for a different Model2Vec build. */
    readonly module?: string;
}
export declare function staticEmbedder(options?: StaticEmbedderOptions): Embedder;
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