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";
export declare namespace DecisionsClient {
    type Options = BaseClientOptions;
    interface RequestOptions extends BaseRequestOptions {
    }
}
export declare class DecisionsClient {
    protected readonly _options: NormalizedClientOptionsWithAuth<DecisionsClient.Options>;
    constructor(options?: DecisionsClient.Options);
    /**
     * Answers a set of typed questions about one input and returns a calibrated probability for every allowed option. The model does not generate text, so there is nothing to parse.
     *
     * **Models:** `sarvam-prism` (serverless) and `clef` (Provisioned Throughput; also reads images).
     *
     * Requires `api-subscription-key`, or `Authorization: Bearer <key>`.
     *
     * **Question types:** `noul` (yes/no), `choice` (one of your options) and `score` (a level on your ordered scale).
     *
     * **Repeatability:** on `sarvam-prism`, probabilities can vary slightly between identical requests and the top answer is stable; the order of `choice` options does not affect the answer. On `clef`, identical requests return identical probabilities.
     *
     * **Images:** `clef` reads base64 images in `images`; image URLs return `400`. `sarvam-prism` refuses `images` (image URLs return `400`, inline images `422`).
     *
     * **Not supported:** streaming. `temperature` returns `422` on both models. `sarvam-prism` also refuses `max_tokens` and `stream` with `422`; `clef` accepts and ignores them. Unknown keys inside a question return `422`.
     *
     * **Limits:**
     * - `sarvam-prism`: 32,768 tokens per question (state + question + options), 2–255 options per `choice`, and 2–10 levels per `score`. If any one question breaks a limit, the whole request fails with `422`.
     * - `clef`: 65,536 tokens per request (state, every question and its options, and images), 1–255 options per `choice`, and 1–10 levels per `score`. A longer request fails with `400`.
     *
     * There is no cap on the number of questions, and the state is never truncated.
     *
     * **Timeout:** each request must finish within 60 seconds. A longer request fails with `503 model_overloaded`; split very large batches across several requests before retrying.
     *
     * **Errors:** every error carries a `message`, a `code` and a `request_id`. Validation errors also carry `param`, the path to the field at fault, such as `questions.urgent.noul.instruction`.
     *
     * @param {SarvamAI.SystemOneRequest} request
     * @param {DecisionsClient.RequestOptions} requestOptions - Request-specific configuration.
     *
     * @throws {@link SarvamAI.BadRequestError}
     * @throws {@link SarvamAI.PaymentRequiredError}
     * @throws {@link SarvamAI.ForbiddenError}
     * @throws {@link SarvamAI.NotFoundError}
     * @throws {@link SarvamAI.UnprocessableEntityError}
     * @throws {@link SarvamAI.TooManyRequestsError}
     * @throws {@link SarvamAI.InternalServerError}
     * @throws {@link SarvamAI.BadGatewayError}
     * @throws {@link SarvamAI.ServiceUnavailableError}
     *
     * @example
     *     await client.decisions.create({
     *         model: "sarvam-prism",
     *         state: "My Stripe integration stopped working and all checkout payments are failing.",
     *         questions: {
     *             "urgent": {
     *                 type: "noul"
     *             },
     *             "department": {
     *                 type: "choice",
     *                 criteria: {}
     *             },
     *             "severity": {
     *                 type: "score",
     *                 criteria: ["trivial", "minor", "moderate", "major", "critical"]
     *             }
     *         }
     *     })
     */
    create(request: SarvamAI.SystemOneRequest, requestOptions?: DecisionsClient.RequestOptions): core.HttpResponsePromise<SarvamAI.SystemOneResponse>;
    private __create;
}