export interface AutoResearchLoopOptions {
    repo?: string;
    taskSet?: string;
    holdoutSet?: string;
    runCmd?: string;
    buildCmd?: string;
    acceptExit?: string;
    runs?: string;
    model?: string;
    prompt?: string;
    fixerCmd?: string;
    maxRounds?: string;
    maxStale?: string;
    successMetric?: string;
    baseRef?: string;
    branch?: string;
    cortexDir?: string;
    keepWorktrees?: boolean;
    json?: boolean;
    /** Effectiveness-arm labels passed through to each round's experiment, recorded with
     *  every scored run so the matrix can rank (model × temperature × strategy). */
    temperature?: string;
    strategy?: string;
    /** Parallel candidate arms per round (FWER family width). Default 1 = classic loop. */
    width?: string;
    /** Explicit comma-separated model ids rotated across arms (arm 1 keeps --model). */
    armModels?: string;
    /** Comma-separated providers to draw arm models from (flagship tool-supporting model each). */
    providers?: string;
    /** What to do with an arm whose provider key is missing:
     *  platform_fallback (run anyway) | omit (drop the arm) | redistribute (reassign). */
    missingProviderKeyPolicy?: string;
    /** Opt-in qualitative gate: run `cortex autoresearch judge` on each candidate the
     *  STATISTICAL gate accepted, and require it to APPROVE before merging
     *  (accept = gate-accept ∧ judge-approve). Default off → unchanged behavior. */
    requireJudge?: boolean;
    judgeRubric?: string;
    judgeRubricFile?: string;
    /** judge model (default: the loop --model, else DEFAULT_MODEL_ID). */
    judgeModel?: string;
}
export declare function autoResearchLoop(options: AutoResearchLoopOptions): Promise<void>;
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