/**
 * Embed - AI SDK Wrapper
 *
 * Provides embed and embedMany functions for text embeddings.
 */
export interface EmbedOptions {
    /** Model to use (e.g., 'text-embedding-3-small', 'openai/text-embedding-3-large') */
    model: string;
    /** Text to embed */
    value: string;
    /** Maximum retries */
    maxRetries?: number;
    /** Abort signal */
    abortSignal?: AbortSignal;
    /** Additional headers */
    headers?: Record<string, string>;
}
export interface EmbedResult {
    /** Embedding vector */
    embedding: number[];
    /** Token usage */
    usage: {
        tokens: number;
    };
}
export interface EmbedManyOptions {
    /** Model to use */
    model: string;
    /** Texts to embed */
    values: string[];
    /** Maximum retries */
    maxRetries?: number;
    /** Abort signal */
    abortSignal?: AbortSignal;
    /** Additional headers */
    headers?: Record<string, string>;
}
export interface EmbedManyResult {
    /** Embedding vectors */
    embeddings: number[][];
    /** Token usage */
    usage: {
        tokens: number;
    };
}
/**
 * Embed a single text using an embedding model.
 *
 * @example
 * ```typescript
 * const result = await embed({
 *   model: 'text-embedding-3-small',
 *   value: 'Hello, world!'
 * });
 * console.log(result.embedding); // [0.1, 0.2, ...]
 * ```
 */
export declare function embed(options: EmbedOptions): Promise<EmbedResult>;
/**
 * Embed multiple texts using an embedding model.
 *
 * @example
 * ```typescript
 * const result = await embedMany({
 *   model: 'text-embedding-3-small',
 *   values: ['Hello', 'World']
 * });
 * console.log(result.embeddings); // [[0.1, ...], [0.2, ...]]
 * ```
 */
export declare function embedMany(options: EmbedManyOptions): Promise<EmbedManyResult>;