import type * as SarvamAI from "../index.js";
/**
 * One Classify decision, for a whole document or a single page.
 */
export interface DocAiClassifyDecision {
    /** Page number, on per-page decisions. */
    input_page?: number | undefined;
    /** The matched category. `null` when `classification_status` is `unknown` or `mixed`; `other` when nothing matched and `unmatched_behavior` is `other`. */
    type?: string | undefined;
    /** Why the status is `unknown`: `no_matching_type`, or `insufficient_evidence` when the pages were not enough to tell. */
    reason_code?: string | undefined;
    reasoning?: string | undefined;
    /** A token-based score from 0 to 1, or `null`. Not a measured probability of being correct. */
    confidence?: number | undefined;
    /** Whether a person should check the answer. */
    review_required?: boolean | undefined;
    /** E.g. `NO_MATCHING_TYPE`, `MODEL_SCORE_UNAVAILABLE`, `MULTIPLE_DOCUMENTS_DETECTED`. */
    review_reasons?: string[] | undefined;
    suggested_type?: SarvamAI.DocAiSuggestedType | undefined;
    /** Present on per-page decisions when `output.include_evidence` is `true`. */
    evidence?: SarvamAI.DocAiEvidence[] | undefined;
    /** `matched` (a category fits), `unknown` (none fits) or `mixed` (the file holds several documents). */
    classification_status?: string | undefined;
}