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 { DocumentIntelligenceJob, type DocumentIntelligenceJobOptions } from "../DocumentIntelligenceJob.js";
export declare namespace DocumentIntelligenceClient {
    interface Options extends BaseClientOptions {
    }
    interface RequestOptions extends BaseRequestOptions {
    }
}
export declare class DocumentIntelligenceClient {
    protected readonly _options: NormalizedClientOptionsWithAuth<DocumentIntelligenceClient.Options>;
    constructor(options?: DocumentIntelligenceClient.Options);
    /**
     * Creates a new document intelligence job.
     *
     * **Supported Languages (BCP-47 format):**
     * - `hi-IN`: Hindi (default)
     * - `en-IN`: English
     * - `bn-IN`: Bengali
     * - `gu-IN`: Gujarati
     * - `kn-IN`: Kannada
     * - `ml-IN`: Malayalam
     * - `mr-IN`: Marathi
     * - `or-IN`: Odia
     * - `pa-IN`: Punjabi
     * - `ta-IN`: Tamil
     * - `te-IN`: Telugu
     * - `ur-IN`: Urdu
     * - `as-IN`: Assamese
     * - `bodo-IN`: Bodo
     * - `doi-IN`: Dogri
     * - `ks-IN`: Kashmiri
     * - `kok-IN`: Konkani
     * - `mai-IN`: Maithili
     * - `mni-IN`: Manipuri
     * - `ne-IN`: Nepali
     * - `sa-IN`: Sanskrit
     * - `sat-IN`: Santali
     * - `sd-IN`: Sindhi
     *
     * **Output Formats:**
     * - `html`: Structured HTML with layout preservation (default)
     * - `md`: Markdown format
     *
     * **Prompt Types:**
     * Customize how specific content types are processed:
     * - `default_ocr`: Standard text extraction (default for all text blocks)
     * - `table_to_html`: Convert tables to HTML format
     * - `table_to_markdown`: Convert tables to Markdown format
     * - `chart_to_markdown`: Extract chart data as Markdown table
     * - `chart_to_json`: Extract chart data as JSON
     * - `describe_image`: Generate image caption
     * - `caption_en`: Same as describe_image (English)
     * - `caption_in`: Caption in document language
     *
     * **Webhook Callback:**
     * Optionally provide a callback URL to receive notification when processing completes.
     *
     * @param {SarvamAI.DocumentIntelligenceJobRequest} request
     * @param {DocumentIntelligenceClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.documentIntelligence.initialise()
     */
    initialise(request?: SarvamAI.DocumentIntelligenceJobRequest, requestOptions?: DocumentIntelligenceClient.RequestOptions): core.HttpResponsePromise<SarvamAI.DocDigitizationCreateJobResponse>;
    /**
     * Creates a new document intelligence job with a fluent API (matching Python SDK).
     *
     * Returns a {@link DocumentIntelligenceJob} instance with convenience methods:
     * - `uploadFile(path)` - Upload a file
     * - `start()` - Start processing
     * - `waitUntilComplete()` - Poll until done
     * - `getPageMetrics()` - Get processing metrics
     * - `downloadOutput(path)` - Download results
     *
     * @param {DocumentIntelligenceJobOptions} options - Job configuration options
     * @param {DocumentIntelligenceClient.RequestOptions} requestOptions - Request-specific configuration
     *
     * @example
     * ```typescript
     * const job = await client.documentIntelligence.createJob({
     *     language: "hi-IN",
     *     outputFormat: "html"
     * });
     *
     * await job.uploadFile("./document.pdf");
     * await job.start();
     * const status = await job.waitUntilComplete();
     * console.log(`Completed: ${status.job_state}`);
     *
     * const metrics = job.getPageMetrics();
     * console.log(`Processed ${metrics.pagesSucceeded} pages`);
     *
     * await job.downloadOutput("./output.html");
     * ```
     */
    createJob(options?: DocumentIntelligenceJobOptions, requestOptions?: DocumentIntelligenceClient.RequestOptions): Promise<DocumentIntelligenceJob>;
    private __initialise;
    /**
     * Returns presigned URLs for uploading input files.
     *
     * **File Constraints:**
     * - Exactly one file required (PDF or ZIP)
     * - PDF files: `.pdf` extension
     * - ZIP files: `.zip` extension
     *
     * @param {SarvamAI.DocDigitizationUploadFilesRequest} request
     * @param {DocumentIntelligenceClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.documentIntelligence.getUploadLinks({
     *         job_id: "job_id",
     *         files: ["files"]
     *     })
     */
    getUploadLinks(request: SarvamAI.DocDigitizationUploadFilesRequest, requestOptions?: DocumentIntelligenceClient.RequestOptions): core.HttpResponsePromise<SarvamAI.DocDigitizationUploadFilesResponse>;
    private __getUploadLinks;
    /**
     * Validates the uploaded file and starts processing.
     *
     * **Validation Checks:**
     * - File must be uploaded before starting
     * - File size must not exceed 200 MB
     * - PDF must be parseable by the PDF parser
     * - ZIP must contain only JPEG/PNG images
     * - ZIP must be flat (no nested folders beyond one level)
     * - ZIP must contain at least one valid image
     * - Page/image count must not exceed 500
     * - User must have sufficient credits
     *
     * **Processing:**
     * Job runs asynchronously. Poll the status endpoint or use webhook callback for completion notification.
     *
     * @param {string} job_id - The unique identifier of the job
     * @param {DocumentIntelligenceClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.documentIntelligence.start("job_id")
     */
    start(job_id: string, requestOptions?: DocumentIntelligenceClient.RequestOptions): core.HttpResponsePromise<SarvamAI.DocDigitizationJobStatusResponse>;
    private __start;
    /**
     * Returns the current status of a job with page-level metrics.
     *
     * **Job States:**
     * - `Accepted`: Job created, awaiting file upload
     * - `Pending`: File uploaded, waiting to start
     * - `Running`: Processing in progress
     * - `Completed`: All pages processed successfully
     * - `PartiallyCompleted`: Some pages succeeded, some failed
     * - `Failed`: All pages failed or job-level error
     *
     * **Page Metrics:**
     * Response includes detailed progress: total pages, pages processed, succeeded, failed, and per-page errors.
     *
     * @param {string} job_id - The unique identifier of the job
     * @param {DocumentIntelligenceClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.documentIntelligence.getStatus("job_id")
     */
    getStatus(job_id: string, requestOptions?: DocumentIntelligenceClient.RequestOptions): core.HttpResponsePromise<SarvamAI.DocDigitizationJobStatusResponse>;
    private __getStatus;
    /**
     * Returns presigned URLs for downloading output files.
     *
     * **Prerequisites:**
     * - Job must be in `Completed` or `PartiallyCompleted` state
     * - Failed jobs have no output available
     *
     * @param {string} job_id - The unique identifier of the job
     * @param {DocumentIntelligenceClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.documentIntelligence.getDownloadLinks("job_id")
     */
    getDownloadLinks(job_id: string, requestOptions?: DocumentIntelligenceClient.RequestOptions): core.HttpResponsePromise<SarvamAI.DocDigitizationDownloadFilesResponse>;
    private __getDownloadLinks;
}