zai-mcp-server
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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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JavaScript
/**
* 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'];
}
}