/**
 * Memory capture pipeline:
 *  - zero-LLM session summaries at session end (metadata only, free)
 *  - /flush — LLM capture of the session's durable learnings
 *  - trading capture — journal + thesis entries on trade execution
 */
import type { Dialogue } from '../agent/types.js';
import type { ModelClient } from '../agent/llm.js';
/**
 * Metadata-only session summary — no LLM call, no latency, no cost.
 * Trivial sessions (fewer than 3 substantive prompts) are skipped.
 */
export declare function writeSessionMetadataSummary(opts: {
    workDir: string;
    sessionId: string;
    history: Dialogue[];
    costUsd?: number;
}): boolean;
/** /flush — LLM capture of the session's durable content into a session log. */
export declare function flushSessionMemory(opts: {
    client: ModelClient;
    model: string;
    workDir: string;
    sessionId: string;
    history: Dialogue[];
    signal?: AbortSignal;
}): Promise<string | null>;
export interface TradeMemoryEvent {
    kind: 'open' | 'close' | 'bet';
    chain: string;
    address: string;
    asset: string;
    amountUsd?: number;
    thesis?: string;
    pnlUsd?: number;
    /** Reference into trades.jsonl / tx hash for the audit trail. */
    ref?: string;
}
/** Append a curated journal entry (and thesis file on opens with a thesis). */
export declare function captureTradeEvent(event: TradeMemoryEvent): void;