import { type ClassifyClientParams, type ClassificationResult } from "../../schemas/index";
/**
 * Classifies an image using a loaded classification model.
 *
 * The bundled MobileNetV3-Small model produces 3 labels: `"food"`, `"report"`, `"other"`.
 * Custom models may emit different labels sourced from the GGUF metadata.
 *
 * @param params.modelId - The identifier of the loaded classification model
 * @param params.image - JPEG or PNG buffer; raw RGB bytes also accepted with `width`, `height`, `channels`
 * @param params.topK - Limit results to top-K classes (default: all)
 * @returns Sorted classification results, highest confidence first
 *
 * @example
 * ```typescript
 * const modelId = await loadModel({ modelType: "ggml-classification" });
 * const jpeg = fs.readFileSync("photo.jpg");
 * const results = await classify({ modelId, image: jpeg });
 * // [ { label: "food", confidence: 0.93 }, { label: "other", confidence: 0.05 }, ... ]
 * await unloadModel({ modelId });
 * ```
 */
export declare function classify(params: ClassifyClientParams): Promise<ClassificationResult[]>;
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