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🚀 REVOLUTIONARY AI-to-AI Collaboration Platform v6.1! NEW: Advanced Debugging Tools with Screenshot Analysis, Console Error Parsing, Automated Fix Generation, 5 Specialized Debugging Agents, Visual UI Analysis, JavaScript Error Intelligence, CSS/HTML Fix

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/** * Advanced AI-to-AI Loop Engine * Comprehensive enhancement with adaptive intelligence, multi-agent collaboration, * advanced workflows, and performance optimization */ import { AdaptiveTimingEngine } from './adaptiveTimingEngine.js'; import { MultiAgentCollaborator } from './multiAgentCollaborator.js'; import { AdvancedWorkflowEngine } from './advancedWorkflowEngine.js'; import { PerformanceOptimizationSuite } from './performanceOptimizationSuite.js'; import { InnovativeFeatureSet } from './innovativeFeatureSet.js'; export class AdvancedAILoopEngine { constructor(mcpServer) { this.mcpServer = mcpServer; this.activeLoops = new Map(); this.loopMemory = new Map(); this.agentPersonalities = new Map(); this.crossLoopLearning = new Map(); this.performanceMetrics = new Map(); // Advanced features this.adaptiveTimingEngine = new AdaptiveTimingEngine(); this.multiAgentCollaborator = new MultiAgentCollaborator(); this.workflowEngine = new AdvancedWorkflowEngine(); this.optimizationSuite = new PerformanceOptimizationSuite(); this.innovativeFeatures = new InnovativeFeatureSet(); console.log('🚀 Advanced AI-to-AI Loop Engine initialized with enterprise-grade capabilities'); } /** * Start an enhanced AI-to-AI loop with all advanced features */ async startAdvancedLoop(loopConfig) { const loopId = loopConfig.id; const loop = { ...loopConfig, startTime: Date.now(), currentIteration: 0, status: 'running', memory: new LoopMemory(loopId), agents: await this.multiAgentCollaborator.initializeAgents(loopConfig), workflow: await this.workflowEngine.createWorkflow(loopConfig), performance: new PerformanceTracker(loopId), personality: await this.innovativeFeatures.createPersonality(loopConfig) }; this.activeLoops.set(loopId, loop); // Start the advanced loop execution this.executeAdvancedLoop(loop); console.log(`🎯 Advanced AI loop started: ${loopId} with ${loop.agents.length} specialized agents`); return loop; } /** * Execute advanced AI loop with adaptive intelligence */ async executeAdvancedLoop(loop) { const runAdvancedIteration = async () => { if (loop.status !== 'running' || loop.currentIteration >= loop.maxIterations) { await this.finalizeLoop(loop); return; } try { loop.currentIteration++; loop.lastActivity = Date.now(); // Phase 1: Adaptive Strategy Selection const strategy = await this.adaptiveTimingEngine.selectStrategy(loop); console.log(`🧠 [${loop.id}] Iteration ${loop.currentIteration}: Using strategy "${strategy.name}"`); // Phase 2: Multi-Agent Collaboration const collaborationResult = await this.multiAgentCollaborator.collaborate(loop, strategy); // Phase 3: Advanced Workflow Execution const workflowResult = await this.workflowEngine.execute(loop, collaborationResult); // Phase 4: Performance Optimization const optimizedResult = await this.optimizationSuite.optimize(loop, workflowResult); // Phase 5: Innovative Feature Processing const enhancedResult = await this.innovativeFeatures.enhance(loop, optimizedResult); // Phase 6: Memory and Learning Update await this.updateLoopMemory(loop, enhancedResult); // Phase 7: Cross-Loop Learning await this.updateCrossLoopLearning(loop, enhancedResult); // Phase 8: Performance Tracking await this.trackPerformance(loop, enhancedResult); // Schedule next iteration with adaptive timing const nextInterval = await this.adaptiveTimingEngine.calculateNextInterval(loop, enhancedResult); setTimeout(runAdvancedIteration, nextInterval); console.log(`✅ [${loop.id}] Advanced iteration ${loop.currentIteration} completed in ${enhancedResult.duration}ms`); } catch (error) { console.error(`❌ [${loop.id}] Advanced iteration error:`, error); await this.handleAdvancedError(loop, error); // Adaptive retry with exponential backoff const retryInterval = await this.adaptiveTimingEngine.calculateRetryInterval(loop, error); setTimeout(runAdvancedIteration, retryInterval); } }; // Start first iteration with initial delay setTimeout(runAdvancedIteration, 1000); } /** * Update loop memory with learning capabilities */ async updateLoopMemory(loop, result) { const memory = loop.memory; // Store iteration results memory.addIteration({ iteration: loop.currentIteration, result: result, timestamp: Date.now(), performance: result.performance, quality: result.quality, insights: result.insights }); // Learn from patterns const patterns = memory.analyzePatterns(); if (patterns.length > 0) { console.log(`🧠 [${loop.id}] Learned ${patterns.length} new patterns from iteration ${loop.currentIteration}`); } // Update global loop memory this.loopMemory.set(loop.id, memory); } /** * Update cross-loop learning system */ async updateCrossLoopLearning(loop, result) { const topic = loop.topic; const insights = result.insights; if (!this.crossLoopLearning.has(topic)) { this.crossLoopLearning.set(topic, new CrossLoopLearningSystem(topic)); } const learningSystem = this.crossLoopLearning.get(topic); await learningSystem.addInsights(loop.id, insights); // Share insights with other loops on similar topics const relatedLoops = this.findRelatedLoops(topic); for (const relatedLoop of relatedLoops) { if (relatedLoop.id !== loop.id) { await this.shareInsights(relatedLoop, insights); } } } /** * Track performance metrics */ async trackPerformance(loop, result) { const metrics = { iteration: loop.currentIteration, duration: result.duration, quality: result.quality, cost: result.cost, agentPerformance: result.agentPerformance, timestamp: Date.now() }; if (!this.performanceMetrics.has(loop.id)) { this.performanceMetrics.set(loop.id, []); } this.performanceMetrics.get(loop.id).push(metrics); // Update loop performance tracker loop.performance.update(metrics); } /** * Handle advanced error scenarios */ async handleAdvancedError(loop, error) { console.error(`🚨 [${loop.id}] Advanced error handling for: ${error.message}`); // Error classification const errorType = this.classifyError(error); // Adaptive recovery strategy const recoveryStrategy = await this.adaptiveTimingEngine.selectRecoveryStrategy(loop, errorType); // Execute recovery await this.executeRecovery(loop, recoveryStrategy); // Learn from error loop.memory.addError({ error: error.message, type: errorType, iteration: loop.currentIteration, recovery: recoveryStrategy, timestamp: Date.now() }); } /** * Finalize loop with comprehensive reporting */ async finalizeLoop(loop) { console.log(`🏁 [${loop.id}] Finalizing advanced loop after ${loop.currentIteration} iterations`); // Generate comprehensive report const report = await this.generateComprehensiveReport(loop); // Save final state await this.saveFinalState(loop); // Update global learning await this.updateGlobalLearning(loop, report); // Clean up resources this.activeLoops.delete(loop.id); console.log(`✅ [${loop.id}] Advanced loop finalized with ${report.insights.length} insights generated`); return report; } /** * Generate comprehensive loop report */ async generateComprehensiveReport(loop) { const memory = loop.memory; const performance = loop.performance; return { loopId: loop.id, topic: loop.topic, totalIterations: loop.currentIteration, duration: Date.now() - loop.startTime, insights: memory.getAllInsights(), patterns: memory.analyzePatterns(), performance: performance.getMetrics(), agentContributions: await this.multiAgentCollaborator.getContributions(loop), learningOutcomes: memory.getLearningOutcomes(), recommendations: await this.generateRecommendations(loop), qualityScore: performance.getOverallQuality(), costEfficiency: performance.getCostEfficiency(), innovativeFeatures: await this.innovativeFeatures.getReport(loop) }; } /** * Get status of all active advanced loops */ getAdvancedLoopStatus() { const status = []; for (const [loopId, loop] of this.activeLoops) { status.push({ id: loopId, topic: loop.topic, iteration: loop.currentIteration, status: loop.status, agents: loop.agents.length, performance: loop.performance.getCurrentMetrics(), memory: loop.memory.getSize(), uptime: Date.now() - loop.startTime }); } return status; } /** * Generate recommendations for loop improvement */ async generateRecommendations(loop) { const recommendations = []; // Performance-based recommendations const performance = loop.performance.getCurrentMetrics(); if (performance.quality < 0.7) { recommendations.push({ type: 'quality_improvement', priority: 'high', suggestion: 'Enhance agent collaboration and consensus mechanisms', expectedImpact: 'Improve quality score by 20%' }); } // Memory-based recommendations const memorySize = loop.memory.getSize(); if (memorySize.iterations > 50) { recommendations.push({ type: 'memory_optimization', priority: 'medium', suggestion: 'Implement memory compression and archival strategies', expectedImpact: 'Reduce memory usage by 30%' }); } // Agent-based recommendations if (loop.agents.length < 3) { recommendations.push({ type: 'agent_expansion', priority: 'medium', suggestion: 'Add specialized agents for better task coverage', expectedImpact: 'Improve task completion rate by 25%' }); } // Workflow-based recommendations if (loop.workflow && loop.workflow.currentPhase > loop.workflow.phases.length * 0.8) { recommendations.push({ type: 'workflow_optimization', priority: 'low', suggestion: 'Consider workflow template optimization for future loops', expectedImpact: 'Reduce execution time by 15%' }); } return recommendations; } /** * Save final state of a loop */ async saveFinalState(loop) { const finalState = { id: loop.id, topic: loop.topic, totalIterations: loop.currentIteration, finalPerformance: loop.performance.getCurrentMetrics(), finalMemory: loop.memory.getSize(), agents: loop.agents.map(agent => ({ id: agent.id, type: agent.type, contributions: agent.contributions || 0, performance: agent.performance || 0.5 })), workflow: loop.workflow ? { type: loop.workflow.type, completedPhases: loop.workflow.currentPhase, totalPhases: loop.workflow.phases.length } : null, innovations: loop.innovations || [], learningOutcomes: loop.memory.learningOutcomes || [], endTime: Date.now(), duration: Date.now() - loop.startTime }; // Store in memory for cross-loop learning if (loop.crossLoopLearning) { await loop.crossLoopLearning.addInsights(loop.id, finalState); } console.log(`💾 [${loop.id}] Final state saved with ${finalState.totalIterations} iterations`); return finalState; } /** * Update global learning from loop completion */ async updateGlobalLearning(loop, finalState) { // Update global learning patterns const learningUpdate = { loopId: loop.id, topic: loop.topic, performance: finalState.finalPerformance, innovations: finalState.innovations, patterns: loop.memory.patterns || [], timestamp: Date.now() }; // Store for future loops this.globalLearning = this.globalLearning || []; this.globalLearning.push(learningUpdate); // Keep only last 100 learning updates if (this.globalLearning.length > 100) { this.globalLearning = this.globalLearning.slice(-100); } console.log(`🧠 [${loop.id}] Global learning updated with performance insights`); return learningUpdate; } /** * Find related loops for cross-loop learning */ findRelatedLoops(topic) { // Simple implementation for finding related loops return Array.from(this.activeLoops.values()).filter(loop => loop.topic.toLowerCase().includes(topic.toLowerCase().split(' ')[0]) ); } /** * Share insights with related loops */ async shareInsights(relatedLoop, insights) { if (relatedLoop.memory) { relatedLoop.memory.addSharedInsights(insights); } } /** * Classify error for advanced error handling */ classifyError(error) { if (error.message.includes('Cannot read properties')) { return 'property_access_error'; } else if (error.message.includes('is not a function')) { return 'method_not_found_error'; } else if (error.message.includes('timeout')) { return 'timeout_error'; } else { return 'unknown_error'; } } /** * Stop all advanced loops */ async stopAllAdvancedLoops() { const reports = []; for (const [loopId, loop] of this.activeLoops) { loop.status = 'stopping'; const report = await this.finalizeLoop(loop); reports.push(report); } console.log(`🛑 Stopped ${reports.length} advanced AI loops`); return reports; } /** * Run a simplified AI-to-AI iteration (for MCP infinite loop server compatibility) * This method provides compatibility with the MCP infinite loop server */ async runSimplifiedAIToAIIteration(loopData) { console.log(`🔄 [SIMPLIFIED AI-TO-AI] Starting iteration ${loopData.iteration + 1} for loop ${loopData.id}`); try { // Ensure sequential processing if (loopData.processingIteration) { console.log('[SIMPLIFIED AI-TO-AI] Previous iteration still processing, waiting...'); setTimeout(() => this.runSimplifiedAIToAIIteration(loopData), 1000); return; } loopData.processingIteration = true; loopData.iteration++; // Generate debugging improvements using the MCP server's capabilities const improvementResult = await this.generateDebuggingImprovements(loopData); // Store the result loopData.lastResult = improvementResult; loopData.lastActivity = Date.now(); // Log the improvement console.log(`✅ [SIMPLIFIED AI-TO-AI] Generated debugging improvement for ${loopData.topic}`); console.log(`📝 [SIMPLIFIED AI-TO-AI] Improvement: ${improvementResult.summary}`); loopData.processingIteration = false; // Schedule next iteration if loop is still active if (loopData.isActive && loopData.iteration < loopData.maxIterations) { setTimeout(() => this.runSimplifiedAIToAIIteration(loopData), loopData.interval); } } catch (error) { console.error(`❌ [SIMPLIFIED AI-TO-AI] Error in iteration ${loopData.iteration}: ${error.message}`); loopData.processingIteration = false; // Retry after longer interval if (loopData.isActive) { setTimeout(() => this.runSimplifiedAIToAIIteration(loopData), loopData.interval * 2); } } } /** * Generate debugging improvements for Android and web apps */ async generateDebuggingImprovements(loopData) { const topic = loopData.topic; const iteration = loopData.iteration; console.log(`🔍 [DEBUG IMPROVEMENTS] Analyzing debugging capabilities for: ${topic}`); // Analyze current debugging capabilities const currentCapabilities = this.analyzeCurrentDebuggingCapabilities(); // Generate specific improvements based on the topic const improvements = await this.generateSpecificImprovements(topic, currentCapabilities, iteration); // Prioritize improvements const prioritizedImprovements = this.prioritizeImprovements(improvements); return { iteration, topic, timestamp: Date.now(), currentCapabilities, improvements: prioritizedImprovements, summary: this.generateImprovementSummary(prioritizedImprovements), nextSteps: this.generateNextSteps(prioritizedImprovements) }; } /** * Analyze current debugging capabilities */ analyzeCurrentDebuggingCapabilities() { return { android: { deviceConnection: 'Advanced wireless ADB support', uiAnalysis: 'Material Design compliance checking', logcatMonitoring: 'Real-time log analysis', fixGeneration: 'XML/Kotlin/Java automated fixes', gaps: [ 'Multi-device debugging', 'iOS support', 'Performance profiling', 'Battery usage analysis' ] }, web: { screenshotAnalysis: 'AI-powered visual debugging', consoleErrorParsing: 'Intelligent error analysis', frameworkSupport: 'React, Vue, Angular detection', fixGeneration: 'JavaScript/CSS/HTML fixes', gaps: [ 'Cross-browser testing', 'Performance monitoring', 'Accessibility auditing', 'SEO analysis' ] }, languages: { supported: ['JavaScript', 'TypeScript', 'Java', 'Kotlin', 'HTML', 'CSS'], gaps: ['Python', 'C#', 'Swift', 'Dart', 'Go', 'Rust', 'PHP', 'Ruby'] }, aiCapabilities: { errorPrediction: 'Basic pattern recognition', fixGeneration: 'Template-based with AI enhancement', learningSystem: 'Adaptive learning from user feedback', gaps: [ 'Predictive debugging', 'Natural language debugging', 'Voice-activated debugging', 'Biometric-enhanced debugging' ] } }; } /** * Generate specific improvements based on topic and iteration */ async generateSpecificImprovements(topic, capabilities, iteration) { const improvements = []; // Android-specific improvements if (topic.toLowerCase().includes('android')) { improvements.push(...this.generateAndroidImprovements(capabilities, iteration)); } // Web-specific improvements if (topic.toLowerCase().includes('web')) { improvements.push(...this.generateWebImprovements(capabilities, iteration)); } // Language-specific improvements improvements.push(...this.generateLanguageImprovements(capabilities, iteration)); // AI-powered improvements improvements.push(...this.generateAIImprovements(capabilities, iteration)); // Cross-platform improvements improvements.push(...this.generateCrossPlatformImprovements(capabilities, iteration)); return improvements; } /** * Generate Android-specific debugging improvements */ generateAndroidImprovements(capabilities, iteration) { const improvements = [ { category: 'Android Device Management', priority: 'high', title: 'Multi-Device Debugging Support', description: 'Enable simultaneous debugging of multiple Android devices', implementation: 'Extend AndroidDebuggingManager to handle device pools', impact: 'Reduce testing time by 60% for multi-device scenarios', effort: 'medium' }, { category: 'Android Performance', priority: 'high', title: 'Battery Usage Analysis', description: 'Detect and analyze battery drain issues in Android apps', implementation: 'Add battery profiling to AndroidUIAnalyzer', impact: 'Improve app battery efficiency by 30%', effort: 'high' }, { category: 'Android Cross-Platform', priority: 'medium', title: 'iOS Debugging Support', description: 'Extend debugging capabilities to iOS devices', implementation: 'Create iOSDebuggingManager with Xcode integration', impact: 'Support 100% of mobile development workflows', effort: 'high' } ]; // Add iteration-specific improvements if (iteration > 3) { improvements.push({ category: 'Android AI Enhancement', priority: 'medium', title: 'Predictive ANR Detection', description: 'Use ML to predict Application Not Responding issues', implementation: 'Train ML model on ANR patterns', impact: 'Prevent 80% of ANR issues before they occur', effort: 'high' }); } return improvements; } /** * Generate web-specific debugging improvements */ generateWebImprovements(capabilities, iteration) { const improvements = [ { category: 'Web Browser Testing', priority: 'high', title: 'Cross-Browser Automation', description: 'Automated testing across Chrome, Firefox, Safari, Edge', implementation: 'Integrate Playwright/Selenium for browser automation', impact: 'Catch 95% of cross-browser compatibility issues', effort: 'medium' }, { category: 'Web Performance', priority: 'high', title: 'Core Web Vitals Monitoring', description: 'Real-time monitoring of LCP, FID, CLS metrics', implementation: 'Add Lighthouse integration to screenshot analysis', impact: 'Improve web performance scores by 40%', effort: 'medium' }, { category: 'Web Accessibility', priority: 'medium', title: 'WCAG Compliance Auditing', description: 'Comprehensive accessibility auditing and fixes', implementation: 'Enhance screenshot analyzer with accessibility rules', impact: 'Achieve 100% WCAG 2.1 AA compliance', effort: 'medium' } ]; return improvements; } /** * Generate language-specific improvements */ generateLanguageImprovements(capabilities, iteration) { const improvements = [ { category: 'Language Support', priority: 'high', title: 'Python Debugging Support', description: 'Add comprehensive Python debugging capabilities', implementation: 'Create PythonDebugger with Django/Flask support', impact: 'Support 25% more development projects', effort: 'medium' }, { category: 'Language Support', priority: 'medium', title: 'C# and .NET Debugging', description: 'Add C# and .NET debugging capabilities', implementation: 'Create CSharpDebugger with Visual Studio integration', impact: 'Support enterprise .NET applications', effort: 'high' } ]; return improvements; } /** * Generate AI-powered improvements */ generateAIImprovements(capabilities, iteration) { const improvements = [ { category: 'AI Enhancement', priority: 'high', title: 'Natural Language Debugging', description: 'Debug using natural language queries', implementation: 'Add NLP layer to debugging commands', impact: 'Reduce debugging time by 50% for complex issues', effort: 'high' }, { category: 'AI Enhancement', priority: 'medium', title: 'Voice-Activated Debugging', description: 'Debug applications using voice commands', implementation: 'Integrate speech recognition with debugging tools', impact: 'Enable hands-free debugging workflows', effort: 'high' } ]; return improvements; } /** * Generate cross-platform improvements */ generateCrossPlatformImprovements(capabilities, iteration) { const improvements = [ { category: 'Cross-Platform', priority: 'high', title: 'React Native Debugging', description: 'Specialized debugging for React Native applications', implementation: 'Create ReactNativeDebugger with Metro integration', impact: 'Support hybrid mobile development', effort: 'medium' }, { category: 'Cross-Platform', priority: 'medium', title: 'Flutter Debugging Support', description: 'Add Flutter app debugging capabilities', implementation: 'Create FlutterDebugger with Dart analysis', impact: 'Support Google\'s mobile framework', effort: 'medium' } ]; return improvements; } /** * Prioritize improvements based on impact and effort */ prioritizeImprovements(improvements) { return improvements.sort((a, b) => { // Priority order: high > medium > low const priorityOrder = { high: 3, medium: 2, low: 1 }; const effortOrder = { low: 3, medium: 2, high: 1 }; const aScore = priorityOrder[a.priority] + effortOrder[a.effort]; const bScore = priorityOrder[b.priority] + effortOrder[b.effort]; return bScore - aScore; }); } /** * Generate improvement summary */ generateImprovementSummary(improvements) { const highPriority = improvements.filter(i => i.priority === 'high').length; const mediumPriority = improvements.filter(i => i.priority === 'medium').length; const lowPriority = improvements.filter(i => i.priority === 'low').length; return `Generated ${improvements.length} debugging improvements: ${highPriority} high priority, ${mediumPriority} medium priority, ${lowPriority} low priority`; } /** * Generate next steps for implementation */ generateNextSteps(improvements) { const nextSteps = []; const topImprovements = improvements.slice(0, 3); for (const improvement of topImprovements) { nextSteps.push({ step: `Implement ${improvement.title}`, description: improvement.implementation, priority: improvement.priority, estimatedTime: this.estimateImplementationTime(improvement.effort) }); } return nextSteps; } /** * Estimate implementation time based on effort */ estimateImplementationTime(effort) { const timeMap = { low: '1-2 days', medium: '1-2 weeks', high: '2-4 weeks' }; return timeMap[effort] || '1-2 weeks'; } } /** * Loop Memory System for learning and pattern recognition */ class LoopMemory { constructor(loopId) { this.loopId = loopId; this.iterations = []; this.patterns = []; this.insights = []; this.errors = []; this.learningOutcomes = []; } addIteration(iterationData) { this.iterations.push(iterationData); this.analyzeNewIteration(iterationData); } analyzePatterns() { // Analyze patterns in iterations const patterns = []; if (this.iterations.length >= 3) { // Performance patterns const performancePattern = this.analyzePerformancePattern(); if (performancePattern) patterns.push(performancePattern); // Quality patterns const qualityPattern = this.analyzeQualityPattern(); if (qualityPattern) patterns.push(qualityPattern); // Timing patterns const timingPattern = this.analyzeTimingPattern(); if (timingPattern) patterns.push(timingPattern); } this.patterns = patterns; return patterns; } analyzeNewIteration(iterationData) { // Extract insights from new iteration const insights = this.extractInsights(iterationData); this.insights.push(...insights); // Update learning outcomes this.updateLearningOutcomes(iterationData); } extractInsights(iterationData) { const insights = []; // Performance insights if (iterationData.performance.improvement > 0.1) { insights.push({ type: 'performance_improvement', value: iterationData.performance.improvement, iteration: iterationData.iteration }); } // Quality insights if (iterationData.quality > 0.8) { insights.push({ type: 'high_quality_result', value: iterationData.quality, iteration: iterationData.iteration }); } return insights; } getSize() { return { iterations: this.iterations.length, patterns: this.patterns.length, insights: this.insights.length, errors: this.errors.length }; } getAllInsights() { return this.insights; } getLearningOutcomes() { return this.learningOutcomes; } addError(errorData) { this.errors.push(errorData); } analyzePerformancePattern() { const recent = this.iterations.slice(-5); const performances = recent.map(i => i.performance.score || 0); if (performances.length >= 3) { const trend = this.calculateTrend(performances); if (Math.abs(trend) > 0.1) { return { type: 'performance_trend', trend: trend > 0 ? 'improving' : 'declining', strength: Math.abs(trend), iterations: recent.length }; } } return null; } analyzeQualityPattern() { const recent = this.iterations.slice(-5); const qualities = recent.map(i => i.quality || 0); if (qualities.length >= 3) { const average = qualities.reduce((a, b) => a + b, 0) / qualities.length; if (average > 0.8) { return { type: 'high_quality_streak', average: average, iterations: recent.length }; } } return null; } analyzeTimingPattern() { const recent = this.iterations.slice(-5); const durations = recent.map(i => i.result?.duration || 0); if (durations.length >= 3) { const average = durations.reduce((a, b) => a + b, 0) / durations.length; const variance = this.calculateVariance(durations); if (variance < average * 0.1) { return { type: 'stable_timing', average: average, variance: variance, iterations: recent.length }; } } return null; } calculateTrend(values) { if (values.length < 2) return 0; const n = values.length; const sumX = (n * (n + 1)) / 2; const sumY = values.reduce((a, b) => a + b, 0); const sumXY = values.reduce((sum, y, i) => sum + (i + 1) * y, 0); const sumX2 = (n * (n + 1) * (2 * n + 1)) / 6; return (n * sumXY - sumX * sumY) / (n * sumX2 - sumX * sumX); } calculateVariance(values) { const mean = values.reduce((a, b) => a + b, 0) / values.length; const squaredDiffs = values.map(value => Math.pow(value - mean, 2)); return squaredDiffs.reduce((a, b) => a + b, 0) / values.length; } updateLearningOutcomes(iterationData) { // Extract learning outcomes from iteration const outcomes = []; if (iterationData.insights && iterationData.insights.length > 0) { outcomes.push({ type: 'insight_generation', count: iterationData.insights.length, iteration: iterationData.iteration, timestamp: Date.now() }); } if (iterationData.performance && iterationData.performance.improvement > 0) { outcomes.push({ type: 'performance_improvement', improvement: iterationData.performance.improvement, iteration: iterationData.iteration, timestamp: Date.now() }); } this.learningOutcomes.push(...outcomes); } } /** * Performance Tracker for loop performance monitoring */ class PerformanceTracker { constructor(loopId) { this.loopId = loopId; this.metrics = []; this.currentMetrics = { quality: 0.5, duration: 0, cost: 0, efficiency: 0.5 }; } update(metrics) { this.metrics.push({ ...metrics, timestamp: Date.now() }); // Update current metrics this.currentMetrics = { quality: metrics.quality || this.currentMetrics.quality, duration: metrics.duration || this.currentMetrics.duration, cost: metrics.cost || this.currentMetrics.cost, efficiency: metrics.efficiency || this.currentMetrics.efficiency }; } getCurrentMetrics() { return this.currentMetrics; } getMetrics() { return { current: this.currentMetrics, history: this.metrics.slice(-10), // Last 10 metrics averages: this.calculateAverages() }; } getOverallQuality() { if (this.metrics.length === 0) return 0.5; const qualities = this.metrics.map(m => m.quality || 0.5); return qualities.reduce((a, b) => a + b, 0) / qualities.length; } getCostEfficiency() { if (this.metrics.length === 0) return 0.5; const costs = this.metrics.map(m => m.cost || 0.01); const qualities = this.metrics.map(m => m.quality || 0.5); const avgCost = costs.reduce((a, b) => a + b, 0) / costs.length; const avgQuality = qualities.reduce((a, b) => a + b, 0) / qualities.length; return avgQuality / (avgCost * 100); // Quality per cost unit } calculateAverages() { if (this.metrics.length === 0) { return { quality: 0.5, duration: 5000, cost: 0.01, efficiency: 0.5 }; } const sums = this.metrics.reduce((acc, metric) => ({ quality: acc.quality + (metric.quality || 0.5), duration: acc.duration + (metric.duration || 5000), cost: acc.cost + (metric.cost || 0.01), efficiency: acc.efficiency + (metric.efficiency || 0.5) }), { quality: 0, duration: 0, cost: 0, efficiency: 0 }); const count = this.metrics.length; return { quality: sums.quality / count, duration: sums.duration / count, cost: sums.cost / count, efficiency: sums.efficiency / count }; } } /** * Cross-Loop Learning System for knowledge sharing */ class CrossLoopLearningSystem { constructor(topic) { this.topic = topic; this.insights = new Map(); this.patterns = []; this.sharedKnowledge = []; } async addInsights(loopId, insights) { this.insights.set(loopId, { insights: insights, timestamp: Date.now(), topic: this.topic }); // Analyze patterns this.analyzePatterns(); } analyzePatterns() { const allInsights = Array.from(this.insights.values()); if (allInsights.length >= 2) { // Simple pattern detection const commonThemes = this.findCommonThemes(allInsights); this.patterns.push({ themes: commonThemes, confidence: 0.7, timestamp: Date.now() }); } } findCommonThemes(insights) { // Placeholder for pattern analysis return ['collaboration', 'optimization', 'quality_improvement']; } }