import { CloudinaryAnalysisCore } from "../core.js";
import { RequestOptions } from "../lib/sdks.js";
import * as components from "../models/components/index.js";
import { CloudinaryAnalysisError } from "../models/errors/cloudinaryanalysiserror.js";
import { ConnectionError, InvalidRequestError, RequestAbortedError, RequestTimeoutError, UnexpectedClientError } from "../models/errors/httpclienterrors.js";
import * as errors from "../models/errors/index.js";
import { ResponseValidationError } from "../models/errors/responsevalidationerror.js";
import { SDKValidationError } from "../models/errors/sdkvalidationerror.js";
import * as operations from "../models/operations/index.js";
import { APIPromise } from "../types/async.js";
import { Result } from "../types/fp.js";
/**
 * Analyze - AI Vision Tagging
 *
 * @remarks
 * The Tagging mode accepts a list of tag names along with their corresponding descriptions. If the image matches the description, which may encompass various elements, it will be appropriately tagged. This approach enables customers to align with their own brand taxonomy, offering a dynamic, flexible, and open method for image classification.
 */
export declare function analyzeAiVisionTagging(client: CloudinaryAnalysisCore, request: components.AnalyzeAIVisionTaggingRequest, options?: RequestOptions): APIPromise<Result<operations.AnalyzeAiVisionTaggingResponse, errors.ErrorResponse | errors.RateLimitedResponse | CloudinaryAnalysisError | ResponseValidationError | ConnectionError | RequestAbortedError | RequestTimeoutError | InvalidRequestError | UnexpectedClientError | SDKValidationError>>;
//# sourceMappingURL=analyzeAiVisionTagging.d.ts.map