/**
 * Smart Batching for Classifier
 *
 * Groups nearby candidates together so planning discussions don't get split across batches.
 */
import type { CandidateMessage } from '../types';
/**
 * Group candidates by proximity in the original conversation.
 * Messages with IDs close together are grouped together.
 *
 * @param candidates Candidates to group
 * @param proximityGap Max gap between message IDs to consider them in same group (default: 5)
 * @returns Array of grouped candidates
 */
export declare function groupCandidatesByProximity(candidates: readonly CandidateMessage[], proximityGap?: number): readonly CandidateMessage[][];
/**
 * Create smart batches that respect proximity groups.
 *
 * Unlike naive batching (slice every N), this keeps nearby candidates together.
 * Groups smaller than batchSize are combined when possible.
 * Groups larger than batchSize are split at natural boundaries.
 *
 * @param candidates Candidates to batch
 * @param batchSize Target batch size
 * @param proximityGap Max gap between message IDs for same group (default: 5)
 * @returns Array of batches, each containing grouped candidates
 */
export declare function createSmartBatches(candidates: readonly CandidateMessage[], batchSize: number, proximityGap?: number): readonly (readonly CandidateMessage[])[];
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