/**
 * Forgen Meta-Learning — Adaptive Thresholds (Feature 4)
 *
 * Computes learning velocity and adapts promotion thresholds
 * based on the user's solution accumulation rate.
 *
 * Learning velocity = solutions created in last 30 days / 4.3 weeks
 *
 *   > 3/week (high volume)  → thresholds +1 (more evidence needed)
 *   0.5~3/week (normal)     → no change
 *   < 0.5/week (slow pace)  → thresholds -1 (lower the bar)
 *
 * Guardrails: [thresholdFloor, thresholdCeiling], max ±1 per cycle.
 */
import type { AdaptiveLifecycleThresholds, MetaLearningConfig } from './types.js';
/**
 * Compute adaptive promotion thresholds based on learning velocity.
 * Returns null if cold-start conditions are not met.
 */
export declare function computeAdaptiveThresholds(config: MetaLearningConfig): AdaptiveLifecycleThresholds | null;