import type * as SarvamAI from "../../../../index.mjs";
/**
 * @example
 *     {
 *         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"]
 *             }
 *         }
 *     }
 */
export interface SystemOneRequest {
    /** The decision model to use. `sarvam-prism` (Sarvam Prism, serverless) or `clef` (Clef, on Provisioned Throughput; also accepts base64 `images`, up to 65,536 tokens per request). */
    model: string;
    /** The input to decide on: text, or an object or array that is rendered as compact JSON. Required; an empty string is allowed. It is never truncated: if any one question (state + question + options) exceeds 32,768 tokens the request fails with `422`. */
    state: SystemOneRequest.State;
    /** Map of your question ID to a question, at least one. There is no cap on the number of questions. Every question is answered in one call, and the answer uses the same ID. */
    questions: Record<string, SarvamAI.SystemOneQuestion>;
}
export declare namespace SystemOneRequest {
    /**
     * The input to decide on: text, or an object or array that is rendered as compact JSON. Required; an empty string is allowed. It is never truncated: if any one question (state + question + options) exceeds 32,768 tokens the request fails with `422`.
     */
    type State = string | Record<string, unknown> | unknown[];
}