export interface AgentPickStats {
    name: string;
    /** Shown as the [PICK] agent. */
    recommended: number;
    /** A Task spawn used the recommended agent. */
    followed: number;
    /** A Task spawn used another agent than the recommended one. */
    overridden: number;
    /** Spawned instead of a different recommended agent. */
    chosen: number;
    /** SubagentStop outcomes of this agent. */
    success: number;
    failure: number;
}
export interface PickStatsSummary {
    /** Prompts routed (route-outcomes records). */
    routes: number;
    /** Routes that printed a [PICK] line. */
    shown: number;
    /** Task/Agent spawns observed (pick-adherence records). */
    spawns: number;
    /** followed / (followed + overridden); null without a recommended spawn. */
    adherenceRate: number | null;
    /** Subagent success rate when the pick was followed; null without data. */
    followedSuccessRate: number | null;
    /** Subagent success rate when the pick was overridden; null without data. */
    notFollowedSuccessRate: number | null;
    /** At most 10, most observations first; `prior` is the ranking factor. */
    topAgents: (AgentPickStats & {
        successRate: number | null;
        prior: number;
    })[];
    updatedAt: string | null;
}
/** Pick learning summary for `root`, folded up to the latest hook lines
 *  without writing pick-stats.json. Never throws. */
export declare function readPickStats(root: string): PickStatsSummary;
/** Re-rank keyword-scored agents by the stored outcome prior of `root`.
 *  Entries gain `baseScore` (keyword relevance) and `prior` (the factor);
 *  without the helper they come back unchanged with prior 1. */
export declare function applyAgentPriors<T extends {
    id: string;
    name?: string;
    score: number;
}>(root: string, ranked: T[]): (T & {
    baseScore: number;
    prior: number;
})[];
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