import type { AgentAdapter } from './types.js';
export interface DistillationInput {
    /** The IM platform (telegram / wechat / ...). */
    platform: string;
    /** The IM user id (the human). Used as the memory partition key. */
    userId: string;
    /** The user's prompt that triggered the agent. */
    userMessage: string;
    /** The agent's reply text. */
    agentReply: string;
    /** The agent that produced the reply. Used for the extraction call. */
    agent: AgentAdapter;
    /** Optional: tracing id linking the extraction back to its source turn. */
    traceId?: string;
    /** Optional: only run distillation when the reply or message reaches a
     *  minimum length. Skips trivial exchanges like "ok" / "thanks". */
    minLen?: number;
}
export interface TurnPair {
    user_message: string;
    agent_reply: string;
}
export interface BatchResult {
    ok: boolean;
    saved: number;
}
/**
 * Extract + save facts from a batch of buffered turns for one user.
 * `ok=true` means the LLM ran and its output parsed — safe to clear the buffer
 * even if 0 facts were worth keeping. `ok=false` means no usable LLM, so the
 * caller should keep the turns and retry on the next pass.
 */
export declare function runBatchDistillation(key: string, turns: TurnPair[], representativeAgent: string): Promise<BatchResult>;
/**
 * Single-turn distillation (direct/legacy entry). Delegates to the batch path
 * with a one-turn batch. The hot path no longer calls this — it buffers via
 * scheduleDistillation and the background distiller batches.
 */
export declare function runDistillation(input: DistillationInput): Promise<number>;
/**
 * Post-reply hook (router.ts). Dream distillation: just BUFFER the turn on the
 * hot path (a single SQLite insert, zero LLM). The background distiller
 * (memory-distiller.ts) batch-extracts buffered turns when the system is idle.
 * Trivial exchanges ("ok" / "thanks") are skipped. Returns immediately.
 */
export declare function scheduleDistillation(input: DistillationInput): void;
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