/**
 * V1 Intelligence Module — LocalSonaCoordinator
 * Split out of intelligence.ts (file-size sweep). Pure move.
 *
 * @module v1/cli/intelligence
 */
import type { LocalReasoningBank } from './intelligence-reasoning-bank.js';
import type { Signal, SonaConfig, TrajectoryStep } from './intelligence-types.js';
/**
 * Lightweight SONA Coordinator
 * Uses circular buffer for O(1) signal recording
 * Achieves <0.05ms per operation
 */
export declare class LocalSonaCoordinator {
    private config;
    private signals;
    private signalHead;
    private signalCount;
    private trajectories;
    private adaptationTimes;
    private currentTrajectorySteps;
    constructor(config: SonaConfig);
    /**
     * Record a signal - O(1) operation
     * Target: <0.05ms
     */
    recordSignal(signal: Signal): void;
    /**
     * Record complete trajectory
     */
    recordTrajectory(trajectory: {
        steps: TrajectoryStep[];
        verdict: string;
        timestamp: number;
    }): void;
    /**
     * Get recent signals
     */
    getRecentSignals(count?: number): Signal[];
    /**
     * Get average adaptation time
     */
    getAvgAdaptationTime(): number;
    /**
     * Add a step to the current in-progress trajectory
     */
    addTrajectoryStep(step: TrajectoryStep): void;
    /**
     * End the current trajectory with a verdict and apply confidence updates.
     * Reward mapping: success=1.0, partial=0.5, failure=-0.5
     *
     * For successful/partial trajectories, boosts confidence of similar patterns
     * in the ReasoningBank. For failures, reduces confidence scores.
     */
    endTrajectory(verdict: 'success' | 'failure' | 'partial', bank: LocalReasoningBank): Promise<{
        reward: number;
        patternsUpdated: number;
    }>;
    /**
     * Distill learning from recent successful trajectories.
     * Applies incremental confidence updates and integrates EWC consolidation.
     *
     * For each successful trajectory step with high confidence,
     * increases the pattern's stored confidence by confidenceLearningRate * reward.
     * Before applying updates, checks EWC penalty to prevent catastrophic forgetting.
     */
    distillLearning(bank: LocalReasoningBank): Promise<{
        patternsDistilled: number;
        ewcPenalty: number;
    }>;
    /**
     * Get current trajectory steps (for inspection)
     */
    getCurrentTrajectorySteps(): TrajectoryStep[];
    /**
     * Get statistics
     */
    stats(): {
        signalCount: number;
        trajectoryCount: number;
        avgAdaptationMs: number;
    };
}
//# sourceMappingURL=intelligence-sona.d.ts.map