import type { BaseClientOptions, BaseRequestOptions } from "../../../../BaseClient.js";
import { type NormalizedClientOptionsWithAuth } from "../../../../BaseClient.js";
import * as core from "../../../../core/index.js";
import * as SarvamAI from "../../../index.js";
import { SpeechToTextJobInstance } from "./SpeechToTextJobInstance.js";
export declare namespace SpeechToTextJobClient {
    interface Options extends BaseClientOptions {
    }
    interface RequestOptions extends BaseRequestOptions {
    }
}
export declare class SpeechToTextJobClient {
    protected readonly _options: NormalizedClientOptionsWithAuth<SpeechToTextJobClient.Options>;
    constructor(options?: SpeechToTextJobClient.Options);
    /**
     * Create a new speech to text bulk job and receive a job UUID and storage folder details for processing multiple audio files
     *
     * @param {SarvamAI.SpeechToTextJobRequest} request
     * @param {SpeechToTextJobClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.UnprocessableEntityError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.speechToTextJob.initialise({
     *         job_parameters: {}
     *     })
     */
    initialise(request: SarvamAI.SpeechToTextJobRequest, requestOptions?: SpeechToTextJobClient.RequestOptions): core.HttpResponsePromise<SarvamAI.BulkJobInitResponse>;
    private __initialise;
    /**
     * Retrieve the current status and details of a speech to text bulk job, including progress and file-level information.
     *
     * **Rate Limiting Best Practice:** To prevent rate limit errors and ensure optimal server performance, we recommend implementing a minimum 5-millisecond delay between consecutive status polling requests. This helps maintain system stability while still providing timely status updates.
     *
     * @param {string} job_id - The unique identifier of the job
     * @param {SpeechToTextJobClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.UnprocessableEntityError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.speechToTextJob.getStatus("job_id")
     */
    getStatus(job_id: string, requestOptions?: SpeechToTextJobClient.RequestOptions): core.HttpResponsePromise<SarvamAI.JobStatusResponse>;
    private __getStatus;
    /**
     * Start processing a speech to text bulk job after all audio files have been uploaded
     *
     * @param {string} job_id - The unique identifier of the job
     * @param {SarvamAI.SpeechToTextJobStartRequest} request
     * @param {SpeechToTextJobClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.UnprocessableEntityError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.speechToTextJob.start("job_id", {
     *         ptu_id: 1
     *     })
     */
    start(job_id: string, request?: SarvamAI.SpeechToTextJobStartRequest, requestOptions?: SpeechToTextJobClient.RequestOptions): core.HttpResponsePromise<SarvamAI.JobStatusResponse>;
    private __start;
    /**
     * Generate presigned upload URLs for audio files that will be processed in a speech to text bulk job
     *
     * @param {SarvamAI.FilesRequest} request
     * @param {SpeechToTextJobClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.UnprocessableEntityError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.speechToTextJob.getUploadLinks({
     *         job_id: "job_id",
     *         files: ["files"]
     *     })
     */
    getUploadLinks(request: SarvamAI.FilesRequest, requestOptions?: SpeechToTextJobClient.RequestOptions): core.HttpResponsePromise<SarvamAI.FilesUploadResponse>;
    private __getUploadLinks;
    /**
     * Generate presigned download URLs for the transcription output files of a completed speech to text bulk job
     *
     * @param {SarvamAI.FilesRequest} request
     * @param {SpeechToTextJobClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.UnprocessableEntityError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.speechToTextJob.getDownloadLinks({
     *         job_id: "job_id",
     *         files: ["files"]
     *     })
     */
    getDownloadLinks(request: SarvamAI.FilesRequest, requestOptions?: SpeechToTextJobClient.RequestOptions): core.HttpResponsePromise<SarvamAI.FilesDownloadResponse>;
    private __getDownloadLinks;
    /**
     * Create a new Speech-to-Text bulk job.
     *
     * @param params - Job creation parameters
     * @param params.model - The model to use for transcription (default: "saarika:v2.5")
     * @param params.withDiarization - Whether to enable speaker diarization (default: false)
     * @param params.withTimestamps - Whether to include word-level timestamps (default: false)
     * @param params.languageCode - The language code of the input audio (e.g., "hi-IN", "bn-IN")
     * @param params.numSpeakers - The number of distinct speakers in the audio, if known
     * @param params.mode - Output mode for **saaras:v3** only (e.g. transcribe, translate, verbatim)
     * @param params.callback - Optional callback configuration to receive job completion events
     * @param requestOptions - Request-specific configuration
     * @returns A handle to the newly created Speech-to-Text job
     */
    createJob(params?: {
        model?: SarvamAI.SpeechToTextModel;
        withDiarization?: boolean;
        withTimestamps?: boolean;
        languageCode?: SarvamAI.SpeechToTextLanguage;
        numSpeakers?: number;
        mode?: SarvamAI.Mode;
        callback?: SarvamAI.BulkJobCallback;
    }, requestOptions?: SpeechToTextJobClient.RequestOptions): Promise<SpeechToTextJobInstance>;
    /**
     * Get an existing Speech-to-Text job handle by job ID.
     *
     * @param jobId - The job ID of the previously created Speech-to-Text job
     * @returns A job handle which can be used to check status or retrieve results
     */
    getJob(jobId: string): SpeechToTextJobInstance;
}