import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
export interface DeepInfraEmbeddingsRequest {
    inputs: string[];
    normalize?: boolean;
    image?: string;
    webhook?: string;
}
/**
 * Input parameters for the DeepInfra embeddings
 */
export interface DeepInfraEmbeddingsParams extends EmbeddingsParams {
    /**
     * The API token to use for authentication.
     * If not provided, it will be read from the `DEEPINFRA_API_TOKEN` environment variable.
     */
    apiToken?: string;
    /**
     * The model ID to use for generating completions.
     * Default: `sentence-transformers/clip-ViT-B-32`
     */
    modelName?: string;
    /**
     * The maximum number of texts to embed in a single request. This is
     * limited by the DeepInfra API to a maximum of 1024.
     */
    batchSize?: number;
}
/**
 * Response from the DeepInfra embeddings API.
 */
export interface DeepInfraEmbeddingsResponse {
    /**
     * The embeddings generated for the input texts.
     */
    embeddings: number[][];
    /**
     * The number of tokens in the input texts.
     */
    input_tokens: number;
    /**
     * The status of the inference.
     */
    request_id?: string;
}
/**
 * A class for generating embeddings using the DeepInfra API.
 * @example
 * ```typescript
 * // Embed a query using the DeepInfraEmbeddings class
 * const model = new DeepInfraEmbeddings();
 * const res = await model.embedQuery(
 *   "What would be a good company name for a company that makes colorful socks?",
 * );
 * console.log({ res });
 * ```
 */
export declare class DeepInfraEmbeddings extends Embeddings implements DeepInfraEmbeddingsParams {
    apiToken: string;
    batchSize: number;
    modelName: string;
    /**
     * Constructor for the DeepInfraEmbeddings class.
     * @param fields - An optional object with properties to configure the instance.
     */
    constructor(fields?: Partial<DeepInfraEmbeddingsParams> & {
        verbose?: boolean;
    });
    /**
     * Generates embeddings for an array of texts.
     * @param inputs - An array of strings to generate embeddings for.
     * @returns A Promise that resolves to an array of embeddings.
     */
    embedDocuments(inputs: 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[]>;
    /**
     * Generates embeddings with retry capabilities.
     * @param request - An object containing the request parameters for generating embeddings.
     * @returns A Promise that resolves to the API response.
     */
    private embeddingWithRetry;
}