/**
 * This file was auto-generated by Fern from our API Definition.
 */
import * as environments from "../../../../environments";
import * as core from "../../../../core";
import * as Vectara from "../../../index";
export declare namespace Encoders {
    interface Options {
        environment?: core.Supplier<environments.VectaraEnvironment | environments.VectaraEnvironmentUrls>;
        token?: core.Supplier<core.BearerToken | undefined>;
        /** Override the x-api-key header */
        apiKey?: core.Supplier<string | undefined>;
        fetcher?: core.FetchFunction;
    }
    interface RequestOptions {
        /** The maximum time to wait for a response in seconds. */
        timeoutInSeconds?: number;
        /** The number of times to retry the request. Defaults to 2. */
        maxRetries?: number;
        /** A hook to abort the request. */
        abortSignal?: AbortSignal;
        /** Override the x-api-key header */
        apiKey?: string | undefined;
        /** Additional headers to include in the request. */
        headers?: Record<string, string>;
    }
}
/**
 * List available encoders (such as Boomerang) that turn text into vectors
 */
export declare class Encoders {
    protected readonly _options: Encoders.Options;
    constructor(_options?: Encoders.Options);
    /**
     * Encoders are used to store and retrieve from a corpus.
     *
     * @param {Vectara.EncodersListRequest} request
     * @param {Encoders.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link Vectara.ForbiddenError}
     *
     * @example
     *     await client.encoders.list({
     *         filter: "vectara.*"
     *     })
     */
    list(request?: Vectara.EncodersListRequest, requestOptions?: Encoders.RequestOptions): Promise<core.Page<Vectara.Encoder>>;
    protected _getAuthorizationHeader(): Promise<string | undefined>;
}