/**
 * Agent core — the ReAct loop with market-aware context.
 *
 * Think → Act → Observe → Repeat.
 *
 * Every run starts with a fresh market snapshot so the agent sees
 * real numbers (ETH balance, gas price, fee balances, claim profitability).
 * The system prompt includes this data. The agent decides what to do.
 */
import type { ClawtomatonConfig, ClawtomatonIdentity } from '../types.js';
import { StateStore } from '../state/index.js';
import { MarketIntelligence } from '../market/index.js';
import { XmtpClient } from '../xmtp/client.js';
export declare class ClawtomatonAgent {
    private state;
    private config;
    private identity;
    private survivalMonitor;
    private market;
    private constitution;
    private running;
    private xmtpClient;
    private xmtpStarted;
    constructor(config: ClawtomatonConfig);
    /**
     * Run a single agent session — multiple ReAct turns until the agent
     * stops, runs out of gas budget, or hits MAX_TURNS_PER_RUN.
     */
    run(externalInput?: string): Promise<void>;
    /**
     * Record gas cost for a skill execution that produced a transaction.
     * Extracts txHash from metadata or result text, fetches receipt, records cost.
     */
    private recordGasIfTxHash;
    /**
     * Handle persistent side effects of skill calls.
     */
    private handleSkillSideEffects;
    /**
     * Call the LLM inference provider.
     */
    private callInference;
    private callAnthropic;
    private callOpenRouter;
    getState(): StateStore;
    getIdentity(): ClawtomatonIdentity;
    isRunning(): boolean;
    getMarket(): MarketIntelligence;
    getXmtpClient(): XmtpClient | null;
    shutdown(): Promise<void>;
}
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