/**
 * Neural MCP Tools for CLI
 *
 * V2 Compatibility - Neural network and ML tools
 *
 * ✅ HYBRID Implementation:
 * - Uses @claude-flow/embeddings for REAL ML embeddings when available
 * - Falls back to deterministic hash-based embeddings when ML model not installed
 * - Pattern storage and search with cosine similarity (real math in all tiers)
 * - Training stores patterns as searchable embeddings (not simulated)
 *
 * Note: For production neural features, use @claude-flow/neural module
 */
import { type MCPTool } from './types.js';
/**
 * ADR-176 flywheel: expose the stored patterns (id/name/content) so the
 * self-optimizing loop can harvest a benchmark corpus from real usage. Additive,
 * read-only, never throws.
 */
export declare function getStorePatterns(): Array<{
    id: string;
    name: string;
    content?: string;
}>;
/**
 * Public helper: read-only stats about the neural store, for the unified
 * learning-stats aggregator. Returns total pattern count + per-type breakdown
 * without exposing the embeddings.
 */
export declare function getNeuralStoreStats(): {
    patternCount: number;
    byType: Record<string, number>;
    modelCount: number;
    source: string;
};
/**
 * Public helper: store an array of patterns into the neural store so they
 * surface via `neural_patterns list`. Used by hooks_pretrain so its extracted
 * patterns are actually queryable, not just bundled in the `pretrain` namespace.
 * #2245.
 *
 * Returns the number of patterns written.
 */
export declare function storeNeuralPatterns(items: Array<{
    name: string;
    type: string;
    content?: string;
    metadata?: Record<string, unknown>;
}>): Promise<{
    stored: number;
    total: number;
}>;
export declare const neuralTools: MCPTool[];
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