import { Embeddings, EmbeddingsParams } from "@langchain/core/embeddings";
/**
 * Interface that extends EmbeddingsParams and defines additional
 * parameters specific to the CohereEmbeddings class.
 * @deprecated Use `CohereEmbeddingsParams` from `@langchain/cohere` instead.
 */
export interface CohereEmbeddingsParams extends EmbeddingsParams {
    modelName: string;
    /**
     * The maximum number of documents to embed in a single request. This is
     * limited by the Cohere API to a maximum of 96.
     */
    batchSize?: number;
}
/**
 * A class for generating embeddings using the Cohere API.
 * @example
 * ```typescript
 * // Embed a query using the CohereEmbeddings class
 * const model = new ChatOpenAI();
 * const res = await model.embedQuery(
 *   "What would be a good company name for a company that makes colorful socks?",
 * );
 * console.log({ res });
 * ```
 * @deprecated Use `CohereEmbeddings` from `@langchain/cohere` instead.
 */
export declare class CohereEmbeddings extends Embeddings implements CohereEmbeddingsParams {
    modelName: string;
    batchSize: number;
    private apiKey;
    private client;
    /**
     * Constructor for the CohereEmbeddings class.
     * @param fields - An optional object with properties to configure the instance.
     */
    constructor(fields?: Partial<CohereEmbeddingsParams> & {
        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[]>;
    /**
     * 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;
    /**
     * Initializes the Cohere client if it hasn't been initialized already.
     */
    private maybeInitClient;
    /** @ignore */
    static imports(): Promise<{
        cohere: typeof import("cohere-ai");
    }>;
}