import { Embeddings, type EmbeddingsParams } from "@langchain/core/embeddings";
/**
 * Interface that extends EmbeddingsParams and defines additional
 * parameters specific to the FireworksEmbeddings class.
 */
export interface FireworksEmbeddingsParams extends EmbeddingsParams {
    modelName: string;
    /**
     * The maximum number of documents to embed in a single request. This is
     * limited by the Fireworks AI API to a maximum of 8.
     */
    batchSize?: number;
}
/**
 * Interface for the request body to generate embeddings.
 */
export interface CreateFireworksEmbeddingRequest {
    /**
     * @type {string}
     * @memberof CreateFireworksEmbeddingRequest
     */
    model: string;
    /**
     *  Text to generate vector expectation
     * @type {CreateEmbeddingRequestInput}
     * @memberof CreateFireworksEmbeddingRequest
     */
    input: string | string[];
}
/**
 * A class for generating embeddings using the Fireworks AI API.
 */
export declare class FireworksEmbeddings extends Embeddings implements FireworksEmbeddingsParams {
    modelName: string;
    batchSize: number;
    private apiKey;
    basePath?: string;
    apiUrl: string;
    headers?: Record<string, string>;
    /**
     * Constructor for the FireworksEmbeddings class.
     * @param fields - An optional object with properties to configure the instance.
     */
    constructor(fields?: Partial<FireworksEmbeddingsParams> & {
        verbose?: boolean;
        apiKey?: string;
    });
    /**
     * Generates embeddings for an array of texts.
     * @param texts - An array of strings to generate embeddings for.
     * @returns A Promise that resolves to an array of embeddings.
     */
    embedDocuments(texts: string[]): Promise<number[][]>;
    /**
     * Generates an embedding for a single text.
     * @param text - A string to generate an embedding for.
     * @returns A Promise that resolves to an array of numbers representing the embedding.
     */
    embedQuery(text: string): Promise<number[]>;
    /**
     * Makes a request to the Fireworks AI API to generate embeddings for an array of texts.
     * @param request - An object with properties to configure the request.
     * @returns A Promise that resolves to the response from the Fireworks AI API.
     */
    private embeddingWithRetry;
}