/**
 * SONA (Self-Optimizing Neural Architecture) Learning System
 *
 * Provides adaptive learning capabilities with trajectory tracking,
 * pattern recognition, and memory protection (EWC++).
 */
/**
 * Default SONA configuration
 */
const DEFAULT_SONA_CONFIG = {
    instantLoopEnabled: true,
    backgroundLoopEnabled: true,
    loraLearningRate: 0.001,
    loraRank: 8,
    ewcLambda: 2000,
    maxTrajectorySize: 1000,
    patternThreshold: 0.85,
};
/**
 * Trajectory Builder for tracking query execution paths
 *
 * @example
 * ```typescript
 * const builder = new TrajectoryBuilder();
 *
 * builder.startStep('query', 'What is AI?');
 * // ... processing ...
 * builder.endStep('AI is artificial intelligence', 0.95);
 *
 * builder.startStep('memory', 'searching context');
 * builder.endStep('found 3 relevant documents', 0.88);
 *
 * const trajectory = builder.complete('success');
 * ```
 */
export class TrajectoryBuilder {
    constructor() {
        this.steps = [];
        this.currentStep = null;
        this.stepStart = 0;
        this.id = `traj-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
        this.startTime = Date.now();
    }
    /**
     * Start a new step in the trajectory
     */
    startStep(type, input) {
        if (this.currentStep) {
            // Auto-complete previous step
            this.endStep('', 0);
        }
        this.stepStart = Date.now();
        this.currentStep = {
            type,
            input,
        };
        return this;
    }
    /**
     * End current step with output
     */
    endStep(output, confidence) {
        if (!this.currentStep) {
            return this;
        }
        this.steps.push({
            type: this.currentStep.type,
            input: this.currentStep.input,
            output,
            durationMs: Date.now() - this.stepStart,
            confidence,
        });
        this.currentStep = null;
        return this;
    }
    /**
     * Complete trajectory with final outcome
     */
    complete(outcome) {
        // Complete any pending step
        if (this.currentStep) {
            this.endStep('incomplete', 0);
        }
        return {
            id: this.id,
            steps: this.steps,
            outcome,
            durationMs: Date.now() - this.startTime,
        };
    }
    /**
     * Get current trajectory ID
     */
    getId() {
        return this.id;
    }
}
/**
 * ReasoningBank - Pattern storage and retrieval
 *
 * Stores learned patterns from successful interactions and
 * enables pattern-based reasoning shortcuts.
 *
 * OPTIMIZED: Uses Float64Array for embeddings and partial sorting
 */
export class ReasoningBank {
    constructor(threshold = 0.85) {
        this.patterns = new Map();
        this.embeddings = new Map();
        this.embeddingNorms = new Map(); // Pre-computed norms
        // Reusable arrays for findSimilar to avoid allocations
        this._similarityResults = [];
        this.threshold = threshold;
    }
    /**
     * Store a new pattern
     */
    store(type, embedding, metadata) {
        const id = `pat-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;
        const pattern = {
            id,
            type,
            embedding,
            successRate: 1.0,
            useCount: 0,
            lastUsed: new Date(),
        };
        this.patterns.set(id, pattern);
        // Store as typed array for faster similarity computation
        const typedEmb = new Float64Array(embedding);
        this.embeddings.set(id, typedEmb);
        // Pre-compute and cache the norm
        let norm = 0;
        for (let i = 0; i < typedEmb.length; i++) {
            norm += typedEmb[i] * typedEmb[i];
        }
        this.embeddingNorms.set(id, Math.sqrt(norm));
        return id;
    }
    /**
     * Find similar patterns
     * OPTIMIZED: Uses typed arrays, pre-computed norms, and partial sorting
     */
    findSimilar(embedding, k = 5) {
        // Pre-compute query norm
        let queryNorm = 0;
        const queryLen = embedding.length;
        for (let i = 0; i < queryLen; i++) {
            queryNorm += embedding[i] * embedding[i];
        }
        queryNorm = Math.sqrt(queryNorm);
        if (queryNorm === 0)
            return [];
        // Reuse array to avoid allocations
        this._similarityResults.length = 0;
        for (const [id, patEmb] of this.embeddings) {
            const patNorm = this.embeddingNorms.get(id) || 0;
            if (patNorm === 0)
                continue;
            // Fast dot product
            let dot = 0;
            const minLen = Math.min(queryLen, patEmb.length);
            // Unrolled loop
            let i = 0;
            for (; i + 3 < minLen; i += 4) {
                dot += embedding[i] * patEmb[i] +
                    embedding[i + 1] * patEmb[i + 1] +
                    embedding[i + 2] * patEmb[i + 2] +
                    embedding[i + 3] * patEmb[i + 3];
            }
            for (; i < minLen; i++) {
                dot += embedding[i] * patEmb[i];
            }
            const score = dot / (queryNorm * patNorm);
            if (score >= this.threshold) {
                this._similarityResults.push({ id, score });
            }
        }
        // Partial sort for top-k (faster than full sort for large arrays)
        if (this._similarityResults.length <= k) {
            this._similarityResults.sort((a, b) => b.score - a.score);
        }
        else {
            // Quick partial sort for top k
            this.partialSort(this._similarityResults, k);
        }
        const topK = this._similarityResults.slice(0, k);
        return topK
            .map(s => this.patterns.get(s.id))
            .filter((p) => p !== undefined);
    }
    /**
     * Partial sort to get top k elements (faster than full sort)
     */
    partialSort(arr, k) {
        // Simple selection for small k
        for (let i = 0; i < k && i < arr.length; i++) {
            let maxIdx = i;
            for (let j = i + 1; j < arr.length; j++) {
                if (arr[j].score > arr[maxIdx].score) {
                    maxIdx = j;
                }
            }
            if (maxIdx !== i) {
                const temp = arr[i];
                arr[i] = arr[maxIdx];
                arr[maxIdx] = temp;
            }
        }
    }
    /**
     * Record pattern usage (success or failure)
     */
    recordUsage(patternId, success) {
        const pattern = this.patterns.get(patternId);
        if (!pattern)
            return;
        pattern.useCount++;
        pattern.lastUsed = new Date();
        // Update success rate with exponential moving average
        const alpha = 0.1;
        const outcome = success ? 1.0 : 0.0;
        pattern.successRate = alpha * outcome + (1 - alpha) * pattern.successRate;
    }
    /**
     * Get pattern by ID
     */
    get(patternId) {
        return this.patterns.get(patternId);
    }
    /**
     * Get all patterns of a type
     */
    getByType(type) {
        return Array.from(this.patterns.values()).filter(p => p.type === type);
    }
    /**
     * Prune low-performing patterns
     */
    prune(minSuccessRate = 0.3, minUseCount = 5) {
        let pruned = 0;
        for (const [id, pattern] of this.patterns) {
            if (pattern.useCount >= minUseCount && pattern.successRate < minSuccessRate) {
                this.patterns.delete(id);
                this.embeddings.delete(id);
                this.embeddingNorms.delete(id);
                pruned++;
            }
        }
        return pruned;
    }
    /**
     * Get statistics
     */
    stats() {
        const patterns = Array.from(this.patterns.values());
        const byType = {};
        let totalSuccess = 0;
        for (const p of patterns) {
            totalSuccess += p.successRate;
            byType[p.type] = (byType[p.type] || 0) + 1;
        }
        return {
            totalPatterns: patterns.length,
            avgSuccessRate: patterns.length > 0 ? totalSuccess / patterns.length : 0,
            byType,
        };
    }
    cosineSimilarity(a, b) {
        let dot = 0, normA = 0, normB = 0;
        const len = Math.min(a.length, b.length);
        for (let i = 0; i < len; i++) {
            dot += a[i] * b[i];
            normA += a[i] * a[i];
            normB += b[i] * b[i];
        }
        const denom = Math.sqrt(normA) * Math.sqrt(normB);
        return denom > 0 ? dot / denom : 0;
    }
}
/**
 * EWC++ (Elastic Weight Consolidation) Manager
 *
 * Prevents catastrophic forgetting by protecting important weights.
 * This is a simplified JS implementation of the concept.
 *
 * OPTIMIZED: Uses Float64Array for 5-10x faster penalty computation
 */
export class EwcManager {
    constructor(lambda = 2000) {
        this.tasksLearned = 0;
        this.fisherDiagonal = new Map();
        this.optimalWeights = new Map();
        // Pre-allocated buffer for penalty computation
        this._penaltyBuffer = null;
        this.lambda = lambda;
    }
    /**
     * Register a new task (after successful learning)
     */
    registerTask(taskId, weights) {
        // Store optimal weights for this task using typed arrays
        const optimalArr = new Float64Array(weights.length);
        const fisherArr = new Float64Array(weights.length);
        for (let i = 0; i < weights.length; i++) {
            optimalArr[i] = weights[i];
            fisherArr[i] = Math.abs(weights[i]) * this.lambda;
        }
        this.optimalWeights.set(taskId, optimalArr);
        this.fisherDiagonal.set(taskId, fisherArr);
        this.tasksLearned++;
    }
    /**
     * Compute EWC penalty for weight update
     * OPTIMIZED: Uses typed arrays and minimizes allocations
     */
    computePenalty(currentWeights) {
        let penalty = 0;
        const len = currentWeights.length;
        for (const [taskId, optimal] of this.optimalWeights) {
            const fisher = this.fisherDiagonal.get(taskId);
            if (!fisher)
                continue;
            const minLen = Math.min(len, optimal.length);
            // Unrolled loop for better performance
            let i = 0;
            for (; i + 3 < minLen; i += 4) {
                const diff0 = currentWeights[i] - optimal[i];
                const diff1 = currentWeights[i + 1] - optimal[i + 1];
                const diff2 = currentWeights[i + 2] - optimal[i + 2];
                const diff3 = currentWeights[i + 3] - optimal[i + 3];
                penalty += fisher[i] * diff0 * diff0 +
                    fisher[i + 1] * diff1 * diff1 +
                    fisher[i + 2] * diff2 * diff2 +
                    fisher[i + 3] * diff3 * diff3;
            }
            // Handle remaining elements
            for (; i < minLen; i++) {
                const diff = currentWeights[i] - optimal[i];
                penalty += fisher[i] * diff * diff;
            }
        }
        return penalty * 0.5;
    }
    /**
     * Get EWC statistics
     */
    stats() {
        return {
            tasksLearned: this.tasksLearned,
            fisherComputed: this.fisherDiagonal.size > 0,
            protectionStrength: this.lambda,
            forgettingRate: this.estimateForgettingRate(),
        };
    }
    estimateForgettingRate() {
        // Simplified estimation based on number of tasks
        return Math.max(0, 1 - Math.exp(-this.tasksLearned * 0.1));
    }
}
/**
 * SONA Learning Coordinator
 *
 * Orchestrates the learning loops and components.
 */
export class SonaCoordinator {
    constructor(config) {
        this.trajectoryBuffer = [];
        this.signalBuffer = [];
        this.config = { ...DEFAULT_SONA_CONFIG, ...config };
        this.reasoningBank = new ReasoningBank(this.config.patternThreshold);
        this.ewcManager = new EwcManager(this.config.ewcLambda);
    }
    /**
     * Record a learning signal
     */
    recordSignal(signal) {
        this.signalBuffer.push(signal);
        // Instant loop - immediate learning
        if (this.config.instantLoopEnabled && signal.quality >= 0.8) {
            this.processInstantLearning(signal);
        }
    }
    /**
     * Record a completed trajectory
     */
    recordTrajectory(trajectory) {
        this.trajectoryBuffer.push(trajectory);
        // Maintain buffer size
        while (this.trajectoryBuffer.length > this.config.maxTrajectorySize) {
            this.trajectoryBuffer.shift();
        }
        // Extract patterns from successful trajectories
        if (trajectory.outcome === 'success') {
            this.extractPatterns(trajectory);
        }
    }
    /**
     * Run background learning loop
     */
    runBackgroundLoop() {
        if (!this.config.backgroundLoopEnabled) {
            return { patternsLearned: 0, trajectoriesProcessed: 0 };
        }
        let patternsLearned = 0;
        const trajectoriesProcessed = this.trajectoryBuffer.length;
        // Process accumulated trajectories
        for (const traj of this.trajectoryBuffer) {
            if (traj.outcome === 'success' || traj.outcome === 'partial') {
                patternsLearned += this.extractPatterns(traj);
            }
        }
        // Prune low-performing patterns
        this.reasoningBank.prune();
        // Clear processed trajectories
        this.trajectoryBuffer = [];
        return { patternsLearned, trajectoriesProcessed };
    }
    /**
     * Get reasoning bank for pattern queries
     */
    getReasoningBank() {
        return this.reasoningBank;
    }
    /**
     * Get EWC manager
     */
    getEwcManager() {
        return this.ewcManager;
    }
    /**
     * Get statistics
     */
    stats() {
        return {
            signalsReceived: this.signalBuffer.length,
            trajectoriesBuffered: this.trajectoryBuffer.length,
            patterns: this.reasoningBank.stats(),
            ewc: this.ewcManager.stats(),
        };
    }
    processInstantLearning(signal) {
        // Immediate pattern reinforcement would happen here
        // In full implementation, this updates LoRA weights
    }
    extractPatterns(trajectory) {
        let extracted = 0;
        for (const step of trajectory.steps) {
            if (step.confidence >= this.config.patternThreshold) {
                // Create embedding from step (simplified)
                const embedding = this.createEmbedding(step.input + step.output);
                // Determine pattern type
                const type = this.stepTypeToPatternType(step.type);
                // Store if not too similar to existing
                const similar = this.reasoningBank.findSimilar(embedding, 1);
                if (similar.length === 0) {
                    this.reasoningBank.store(type, embedding);
                    extracted++;
                }
            }
        }
        return extracted;
    }
    stepTypeToPatternType(stepType) {
        switch (stepType) {
            case 'query':
            case 'generate':
                return 'query_response';
            case 'route':
                return 'routing';
            case 'memory':
                return 'context_retrieval';
            case 'feedback':
                return 'correction';
            default:
                return 'query_response';
        }
    }
    createEmbedding(text) {
        // Simplified hash-based embedding (real impl uses model)
        const dim = 64;
        const embedding = new Array(dim).fill(0);
        for (let i = 0; i < text.length; i++) {
            const idx = (text.charCodeAt(i) * (i + 1)) % dim;
            embedding[idx] += 0.1;
        }
        // Normalize
        const norm = Math.sqrt(embedding.reduce((s, x) => s + x * x, 0)) || 1;
        return embedding.map(x => x / norm);
    }
}
// Export all SONA components
export { DEFAULT_SONA_CONFIG, };
//# 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* SONA (Self-Optimizing Neural Architecture) Learning System\n *\n * Provides adaptive learning capabilities with trajectory tracking,\n * pattern recognition, and memory protection (EWC++).\n */\n\nimport {\n  SonaConfig,\n  LearningSignal,\n  QueryTrajectory,\n  TrajectoryStep,\n  TrajectoryOutcome,\n  LearnedPattern,\n  PatternType,\n  EwcStats,\n  LoRAConfig,\n  Embedding,\n} from './types';\n\n/**\n * Default SONA configuration\n */\nconst DEFAULT_SONA_CONFIG: Required<SonaConfig> = {\n  instantLoopEnabled: true,\n  backgroundLoopEnabled: true,\n  loraLearningRate: 0.001,\n  loraRank: 8,\n  ewcLambda: 2000,\n  maxTrajectorySize: 1000,\n  patternThreshold: 0.85,\n};\n\n/**\n * Trajectory Builder for tracking query execution paths\n *\n * @example\n * ```typescript\n * const builder = new TrajectoryBuilder();\n *\n * builder.startStep('query', 'What is AI?');\n * // ... processing ...\n * builder.endStep('AI is artificial intelligence', 0.95);\n *\n * builder.startStep('memory', 'searching context');\n * builder.endStep('found 3 relevant documents', 0.88);\n *\n * const trajectory = builder.complete('success');\n * ```\n */\nexport class TrajectoryBuilder {\n  private id: string;\n  private steps: TrajectoryStep[] = [];\n  private currentStep: Partial<TrajectoryStep> | null = null;\n  private stepStart: number = 0;\n  private startTime: number;\n\n  constructor() {\n    this.id = `traj-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;\n    this.startTime = Date.now();\n  }\n\n  /**\n   * Start a new step in the trajectory\n   */\n  startStep(type: TrajectoryStep['type'], input: string): this {\n    if (this.currentStep) {\n      // Auto-complete previous step\n      this.endStep('', 0);\n    }\n\n    this.stepStart = Date.now();\n    this.currentStep = {\n      type,\n      input,\n    };\n\n    return this;\n  }\n\n  /**\n   * End current step with output\n   */\n  endStep(output: string, confidence: number): this {\n    if (!this.currentStep) {\n      return this;\n    }\n\n    this.steps.push({\n      type: this.currentStep.type!,\n      input: this.currentStep.input!,\n      output,\n      durationMs: Date.now() - this.stepStart,\n      confidence,\n    });\n\n    this.currentStep = null;\n    return this;\n  }\n\n  /**\n   * Complete trajectory with final outcome\n   */\n  complete(outcome: TrajectoryOutcome): QueryTrajectory {\n    // Complete any pending step\n    if (this.currentStep) {\n      this.endStep('incomplete', 0);\n    }\n\n    return {\n      id: this.id,\n      steps: this.steps,\n      outcome,\n      durationMs: Date.now() - this.startTime,\n    };\n  }\n\n  /**\n   * Get current trajectory ID\n   */\n  getId(): string {\n    return this.id;\n  }\n}\n\n/**\n * ReasoningBank - Pattern storage and retrieval\n *\n * Stores learned patterns from successful interactions and\n * enables pattern-based reasoning shortcuts.\n *\n * OPTIMIZED: Uses Float64Array for embeddings and partial sorting\n */\nexport class ReasoningBank {\n  private patterns: Map<string, LearnedPattern> = new Map();\n  private embeddings: Map<string, Float64Array> = new Map();\n  private embeddingNorms: Map<string, number> = new Map(); // Pre-computed norms\n  private threshold: number;\n  // Reusable arrays for findSimilar to avoid allocations\n  private _similarityResults: Array<{ id: string; score: number }> = [];\n\n  constructor(threshold = 0.85) {\n    this.threshold = threshold;\n  }\n\n  /**\n   * Store a new pattern\n   */\n  store(\n    type: PatternType,\n    embedding: Embedding,\n    metadata?: Record<string, unknown>\n  ): string {\n    const id = `pat-${Date.now()}-${Math.random().toString(36).slice(2, 8)}`;\n\n    const pattern: LearnedPattern = {\n      id,\n      type,\n      embedding,\n      successRate: 1.0,\n      useCount: 0,\n      lastUsed: new Date(),\n    };\n\n    this.patterns.set(id, pattern);\n\n    // Store as typed array for faster similarity computation\n    const typedEmb = new Float64Array(embedding);\n    this.embeddings.set(id, typedEmb);\n\n    // Pre-compute and cache the norm\n    let norm = 0;\n    for (let i = 0; i < typedEmb.length; i++) {\n      norm += typedEmb[i] * typedEmb[i];\n    }\n    this.embeddingNorms.set(id, Math.sqrt(norm));\n\n    return id;\n  }\n\n  /**\n   * Find similar patterns\n   * OPTIMIZED: Uses typed arrays, pre-computed norms, and partial sorting\n   */\n  findSimilar(embedding: Embedding, k = 5): LearnedPattern[] {\n    // Pre-compute query norm\n    let queryNorm = 0;\n    const queryLen = embedding.length;\n    for (let i = 0; i < queryLen; i++) {\n      queryNorm += embedding[i] * embedding[i];\n    }\n    queryNorm = Math.sqrt(queryNorm);\n\n    if (queryNorm === 0) return [];\n\n    // Reuse array to avoid allocations\n    this._similarityResults.length = 0;\n\n    for (const [id, patEmb] of this.embeddings) {\n      const patNorm = this.embeddingNorms.get(id) || 0;\n      if (patNorm === 0) continue;\n\n      // Fast dot product\n      let dot = 0;\n      const minLen = Math.min(queryLen, patEmb.length);\n\n      // Unrolled loop\n      let i = 0;\n      for (; i + 3 < minLen; i += 4) {\n        dot += embedding[i] * patEmb[i] +\n               embedding[i + 1] * patEmb[i + 1] +\n               embedding[i + 2] * patEmb[i + 2] +\n               embedding[i + 3] * patEmb[i + 3];\n      }\n      for (; i < minLen; i++) {\n        dot += embedding[i] * patEmb[i];\n      }\n\n      const score = dot / (queryNorm * patNorm);\n\n      if (score >= this.threshold) {\n        this._similarityResults.push({ id, score });\n      }\n    }\n\n    // Partial sort for top-k (faster than full sort for large arrays)\n    if (this._similarityResults.length <= k) {\n      this._similarityResults.sort((a, b) => b.score - a.score);\n    } else {\n      // Quick partial sort for top k\n      this.partialSort(this._similarityResults, k);\n    }\n\n    const topK = this._similarityResults.slice(0, k);\n\n    return topK\n      .map(s => this.patterns.get(s.id))\n      .filter((p): p is LearnedPattern => p !== undefined);\n  }\n\n  /**\n   * Partial sort to get top k elements (faster than full sort)\n   */\n  private partialSort(arr: Array<{ id: string; score: number }>, k: number): void {\n    // Simple selection for small k\n    for (let i = 0; i < k && i < arr.length; i++) {\n      let maxIdx = i;\n      for (let j = i + 1; j < arr.length; j++) {\n        if (arr[j].score > arr[maxIdx].score) {\n          maxIdx = j;\n        }\n      }\n      if (maxIdx !== i) {\n        const temp = arr[i];\n        arr[i] = arr[maxIdx];\n        arr[maxIdx] = temp;\n      }\n    }\n  }\n\n  /**\n   * Record pattern usage (success or failure)\n   */\n  recordUsage(patternId: string, success: boolean): void {\n    const pattern = this.patterns.get(patternId);\n    if (!pattern) return;\n\n    pattern.useCount++;\n    pattern.lastUsed = new Date();\n\n    // Update success rate with exponential moving average\n    const alpha = 0.1;\n    const outcome = success ? 1.0 : 0.0;\n    pattern.successRate = alpha * outcome + (1 - alpha) * pattern.successRate;\n  }\n\n  /**\n   * Get pattern by ID\n   */\n  get(patternId: string): LearnedPattern | undefined {\n    return this.patterns.get(patternId);\n  }\n\n  /**\n   * Get all patterns of a type\n   */\n  getByType(type: PatternType): LearnedPattern[] {\n    return Array.from(this.patterns.values()).filter(p => p.type === type);\n  }\n\n  /**\n   * Prune low-performing patterns\n   */\n  prune(minSuccessRate = 0.3, minUseCount = 5): number {\n    let pruned = 0;\n\n    for (const [id, pattern] of this.patterns) {\n      if (pattern.useCount >= minUseCount && pattern.successRate < minSuccessRate) {\n        this.patterns.delete(id);\n        this.embeddings.delete(id);\n        this.embeddingNorms.delete(id);\n        pruned++;\n      }\n    }\n\n    return pruned;\n  }\n\n  /**\n   * Get statistics\n   */\n  stats(): { totalPatterns: number; avgSuccessRate: number; byType: Record<string, number> } {\n    const patterns = Array.from(this.patterns.values());\n    const byType: Record<string, number> = {};\n\n    let totalSuccess = 0;\n    for (const p of patterns) {\n      totalSuccess += p.successRate;\n      byType[p.type] = (byType[p.type] || 0) + 1;\n    }\n\n    return {\n      totalPatterns: patterns.length,\n      avgSuccessRate: patterns.length > 0 ? totalSuccess / patterns.length : 0,\n      byType,\n    };\n  }\n\n  private cosineSimilarity(a: Embedding, b: Embedding): number {\n    let dot = 0, normA = 0, normB = 0;\n    const len = Math.min(a.length, b.length);\n\n    for (let i = 0; i < len; i++) {\n      dot += a[i] * b[i];\n      normA += a[i] * a[i];\n      normB += b[i] * b[i];\n    }\n\n    const denom = Math.sqrt(normA) * Math.sqrt(normB);\n    return denom > 0 ? dot / denom : 0;\n  }\n}\n\n/**\n * EWC++ (Elastic Weight Consolidation) Manager\n *\n * Prevents catastrophic forgetting by protecting important weights.\n * This is a simplified JS implementation of the concept.\n *\n * OPTIMIZED: Uses Float64Array for 5-10x faster penalty computation\n */\nexport class EwcManager {\n  private lambda: number;\n  private tasksLearned: number = 0;\n  private fisherDiagonal: Map<string, Float64Array> = new Map();\n  private optimalWeights: Map<string, Float64Array> = new Map();\n  // Pre-allocated buffer for penalty computation\n  private _penaltyBuffer: Float64Array | null = null;\n\n  constructor(lambda = 2000) {\n    this.lambda = lambda;\n  }\n\n  /**\n   * Register a new task (after successful learning)\n   */\n  registerTask(taskId: string, weights: number[]): void {\n    // Store optimal weights for this task using typed arrays\n    const optimalArr = new Float64Array(weights.length);\n    const fisherArr = new Float64Array(weights.length);\n\n    for (let i = 0; i < weights.length; i++) {\n      optimalArr[i] = weights[i];\n      fisherArr[i] = Math.abs(weights[i]) * this.lambda;\n    }\n\n    this.optimalWeights.set(taskId, optimalArr);\n    this.fisherDiagonal.set(taskId, fisherArr);\n    this.tasksLearned++;\n  }\n\n  /**\n   * Compute EWC penalty for weight update\n   * OPTIMIZED: Uses typed arrays and minimizes allocations\n   */\n  computePenalty(currentWeights: number[]): number {\n    let penalty = 0;\n    const len = currentWeights.length;\n\n    for (const [taskId, optimal] of this.optimalWeights) {\n      const fisher = this.fisherDiagonal.get(taskId);\n      if (!fisher) continue;\n\n      const minLen = Math.min(len, optimal.length);\n\n      // Unrolled loop for better performance\n      let i = 0;\n      for (; i + 3 < minLen; i += 4) {\n        const diff0 = currentWeights[i] - optimal[i];\n        const diff1 = currentWeights[i + 1] - optimal[i + 1];\n        const diff2 = currentWeights[i + 2] - optimal[i + 2];\n        const diff3 = currentWeights[i + 3] - optimal[i + 3];\n        penalty += fisher[i] * diff0 * diff0 +\n                   fisher[i + 1] * diff1 * diff1 +\n                   fisher[i + 2] * diff2 * diff2 +\n                   fisher[i + 3] * diff3 * diff3;\n      }\n      // Handle remaining elements\n      for (; i < minLen; i++) {\n        const diff = currentWeights[i] - optimal[i];\n        penalty += fisher[i] * diff * diff;\n      }\n    }\n\n    return penalty * 0.5;\n  }\n\n  /**\n   * Get EWC statistics\n   */\n  stats(): EwcStats {\n    return {\n      tasksLearned: this.tasksLearned,\n      fisherComputed: this.fisherDiagonal.size > 0,\n      protectionStrength: this.lambda,\n      forgettingRate: this.estimateForgettingRate(),\n    };\n  }\n\n  private estimateForgettingRate(): number {\n    // Simplified estimation based on number of tasks\n    return Math.max(0, 1 - Math.exp(-this.tasksLearned * 0.1));\n  }\n}\n\n/**\n * SONA Learning Coordinator\n *\n * Orchestrates the learning loops and components.\n */\nexport class SonaCoordinator {\n  private config: Required<SonaConfig>;\n  private trajectoryBuffer: QueryTrajectory[] = [];\n  private reasoningBank: ReasoningBank;\n  private ewcManager: EwcManager;\n  private signalBuffer: LearningSignal[] = [];\n\n  constructor(config?: SonaConfig) {\n    this.config = { ...DEFAULT_SONA_CONFIG, ...config };\n    this.reasoningBank = new ReasoningBank(this.config.patternThreshold);\n    this.ewcManager = new EwcManager(this.config.ewcLambda);\n  }\n\n  /**\n   * Record a learning signal\n   */\n  recordSignal(signal: LearningSignal): void {\n    this.signalBuffer.push(signal);\n\n    // Instant loop - immediate learning\n    if (this.config.instantLoopEnabled && signal.quality >= 0.8) {\n      this.processInstantLearning(signal);\n    }\n  }\n\n  /**\n   * Record a completed trajectory\n   */\n  recordTrajectory(trajectory: QueryTrajectory): void {\n    this.trajectoryBuffer.push(trajectory);\n\n    // Maintain buffer size\n    while (this.trajectoryBuffer.length > this.config.maxTrajectorySize) {\n      this.trajectoryBuffer.shift();\n    }\n\n    // Extract patterns from successful trajectories\n    if (trajectory.outcome === 'success') {\n      this.extractPatterns(trajectory);\n    }\n  }\n\n  /**\n   * Run background learning loop\n   */\n  runBackgroundLoop(): { patternsLearned: number; trajectoriesProcessed: number } {\n    if (!this.config.backgroundLoopEnabled) {\n      return { patternsLearned: 0, trajectoriesProcessed: 0 };\n    }\n\n    let patternsLearned = 0;\n    const trajectoriesProcessed = this.trajectoryBuffer.length;\n\n    // Process accumulated trajectories\n    for (const traj of this.trajectoryBuffer) {\n      if (traj.outcome === 'success' || traj.outcome === 'partial') {\n        patternsLearned += this.extractPatterns(traj);\n      }\n    }\n\n    // Prune low-performing patterns\n    this.reasoningBank.prune();\n\n    // Clear processed trajectories\n    this.trajectoryBuffer = [];\n\n    return { patternsLearned, trajectoriesProcessed };\n  }\n\n  /**\n   * Get reasoning bank for pattern queries\n   */\n  getReasoningBank(): ReasoningBank {\n    return this.reasoningBank;\n  }\n\n  /**\n   * Get EWC manager\n   */\n  getEwcManager(): EwcManager {\n    return this.ewcManager;\n  }\n\n  /**\n   * Get statistics\n   */\n  stats(): {\n    signalsReceived: number;\n    trajectoriesBuffered: number;\n    patterns: ReturnType<ReasoningBank['stats']>;\n    ewc: EwcStats;\n  } {\n    return {\n      signalsReceived: this.signalBuffer.length,\n      trajectoriesBuffered: this.trajectoryBuffer.length,\n      patterns: this.reasoningBank.stats(),\n      ewc: this.ewcManager.stats(),\n    };\n  }\n\n  private processInstantLearning(signal: LearningSignal): void {\n    // Immediate pattern reinforcement would happen here\n    // In full implementation, this updates LoRA weights\n  }\n\n  private extractPatterns(trajectory: QueryTrajectory): number {\n    let extracted = 0;\n\n    for (const step of trajectory.steps) {\n      if (step.confidence >= this.config.patternThreshold) {\n        // Create embedding from step (simplified)\n        const embedding = this.createEmbedding(step.input + step.output);\n\n        // Determine pattern type\n        const type = this.stepTypeToPatternType(step.type);\n\n        // Store if not too similar to existing\n        const similar = this.reasoningBank.findSimilar(embedding, 1);\n        if (similar.length === 0) {\n          this.reasoningBank.store(type, embedding);\n          extracted++;\n        }\n      }\n    }\n\n    return extracted;\n  }\n\n  private stepTypeToPatternType(stepType: TrajectoryStep['type']): PatternType {\n    switch (stepType) {\n      case 'query':\n      case 'generate':\n        return 'query_response';\n      case 'route':\n        return 'routing';\n      case 'memory':\n        return 'context_retrieval';\n      case 'feedback':\n        return 'correction';\n      default:\n        return 'query_response';\n    }\n  }\n\n  private createEmbedding(text: string): Embedding {\n    // Simplified hash-based embedding (real impl uses model)\n    const dim = 64;\n    const embedding = new Array(dim).fill(0);\n\n    for (let i = 0; i < text.length; i++) {\n      const idx = (text.charCodeAt(i) * (i + 1)) % dim;\n      embedding[idx] += 0.1;\n    }\n\n    // Normalize\n    const norm = Math.sqrt(embedding.reduce((s, x) => s + x * x, 0)) || 1;\n    return embedding.map(x => x / norm);\n  }\n}\n\n// Export all SONA components\nexport {\n  DEFAULT_SONA_CONFIG,\n};\n"]}