chore: recovery checkpoint - v3.0 API successfully recovered

CRITICAL CHECKPOINT - DO NOT PUSH TO GITHUB

Recovery Status:
- Successfully recovered brainy.ts from compiled JavaScript
- All core v3.0 API methods functional (add, get, update, delete, relate, find, etc.)
- Neural subsystem intact (562KB embedded patterns, NLP working)
- Augmentation pipeline operational (20+ augmentations)
- HNSW clustering system complete
- Triple Intelligence compiled (needs constructor fix)
- Test suite validates functionality

Changes preserved:
- 898 files with changes from last 3 days
- 144,475 insertions
- All augmentation improvements
- All test coverage enhancements
- Complete v3.0 feature set

This is a LOCAL checkpoint only - contains recovered work after corruption incident.
Created backup in .backups/brainy-full-20250910-151314.tar.gz

Branch: recovery-checkpoint-20250910-151433
Date: Wed Sep 10 03:18:04 PM PDT 2025

.recovery-workspace/dist-backup-20250910-141917/neural/patternLibrary.d.ts

@@ -0,0 +1,155 @@
+/**
+ * 🧠 Pattern Library for Natural Language Processing
+ * Manages pre-computed pattern embeddings and smart matching
+ *
+ * Uses Brainy's own features for self-leveraging intelligence:
+ * - Embeddings for semantic similarity
+ * - Pattern caching for performance
+ * - Progressive learning from usage
+ */
+import { Vector } from '../coreTypes.js';
+import { Brainy } from '../brainy.js';
+export interface Pattern {
+    id: string;
+    category: string;
+    examples: string[];
+    pattern: string;
+    template: any;
+    confidence: number;
+    embedding?: Vector;
+    domain?: string;
+    frequency?: number | string;
+    slots?: SlotDefinition[];
+}
+export interface SlotDefinition {
+    name: string;
+    type: 'text' | 'number' | 'date' | 'entity' | 'location' | 'person' | 'any';
+    required?: boolean;
+    default?: any;
+    pattern?: string;
+    transform?: (value: string) => any;
+}
+export interface SlotExtraction {
+    slots: Record<string, any>;
+    confidence: number;
+    errors?: string[];
+}
+export declare class PatternLibrary {
+    private patterns;
+    private patternEmbeddings;
+    private brain;
+    private embeddingCache;
+    private successMetrics;
+    constructor(brain: Brainy);
+    /**
+     * Initialize pattern library with pre-computed embeddings
+     */
+    init(): Promise<void>;
+    /**
+     * Pre-compute embeddings for all patterns for fast matching
+     */
+    private precomputeEmbeddings;
+    /**
+     * Get embedding with caching
+     */
+    private getEmbedding;
+    /**
+     * Find best matching patterns for a query
+     */
+    findBestPatterns(queryEmbedding: Vector, k?: number): Promise<Array<{
+        pattern: Pattern;
+        similarity: number;
+    }>>;
+    /**
+     * Extract slots from query based on pattern with enhanced fuzzy matching
+     */
+    extractSlots(query: string, pattern: Pattern): SlotExtraction;
+    /**
+     * Extract named slots with type validation
+     */
+    private extractNamedSlots;
+    /**
+     * Fuzzy extraction using Levenshtein distance
+     */
+    private fuzzyExtractSlots;
+    /**
+     * Fuzzy extraction for named slots
+     */
+    private fuzzyExtractNamedSlots;
+    /**
+     * Find slot value in tokens based on type
+     */
+    private findSlotValueInTokens;
+    /**
+     * Get default regex pattern for slot type
+     */
+    private getDefaultPatternForType;
+    /**
+     * Transform value based on type
+     */
+    private transformByType;
+    /**
+     * Validate slot value against definition
+     */
+    private validateSlotValue;
+    /**
+     * Calculate Levenshtein distance between two strings
+     */
+    private levenshteinDistance;
+    /**
+     * Align two strings for slot extraction
+     */
+    private alignStrings;
+    /**
+     * Find best token match using fuzzy comparison
+     */
+    private findBestTokenMatch;
+    /**
+     * Extract slots from string alignment
+     */
+    private extractSlotsFromAlignment;
+    /**
+     * Fill template with extracted slots
+     */
+    fillTemplate(template: any, slots: Record<string, any>): any;
+    /**
+     * Update pattern success metrics based on usage
+     */
+    updateSuccessMetric(patternId: string, success: boolean): void;
+    /**
+     * Learn new pattern from successful query
+     */
+    learnPattern(query: string, result: any): Promise<void>;
+    /**
+     * Helper: Average multiple vectors
+     */
+    private averageVectors;
+    /**
+     * Helper: Calculate cosine similarity
+     */
+    private cosineSimilarity;
+    /**
+     * Helper: Simple tokenization
+     */
+    private tokenize;
+    /**
+     * Helper: Post-process extracted slots
+     */
+    private postProcessSlots;
+    /**
+     * Helper: Generate regex pattern from query
+     */
+    private generateRegexFromQuery;
+    /**
+     * Get pattern statistics for monitoring
+     */
+    getStatistics(): {
+        totalPatterns: number;
+        categories: Record<string, number>;
+        averageConfidence: number;
+        topPatterns: Array<{
+            id: string;
+            success: number;
+        }>;
+    };
+}