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
/**
* Performance Optimization Suite
* Advanced performance monitoring, optimization, and resource management
*/
export class PerformanceOptimizationSuite {
constructor() {
this.optimizers = new Map();
this.performanceMetrics = new Map();
this.resourceMonitor = new ResourceMonitor();
this.costAnalyzer = new CostAnalyzer();
this.loadBalancer = new LoadBalancer();
this.cacheOptimizer = new CacheOptimizer();
this.initializeOptimizers();
console.log('⚡ Performance Optimization Suite initialized with advanced optimization capabilities');
}
/**
* Initialize performance optimizers
*/
initializeOptimizers() {
this.optimizers.set('response_time', {
name: 'response_time',
target: 'minimize_latency',
strategies: ['caching', 'parallel_processing', 'resource_pooling'],
threshold: 5000, // 5 seconds
priority: 'high'
});
this.optimizers.set('resource_utilization', {
name: 'resource_utilization',
target: 'optimize_resources',
strategies: ['load_balancing', 'resource_scaling', 'efficient_allocation'],
threshold: 0.8, // 80% utilization
priority: 'medium'
});
this.optimizers.set('cost_efficiency', {
name: 'cost_efficiency',
target: 'minimize_cost',
strategies: ['smart_caching', 'provider_selection', 'batch_processing'],
threshold: 0.1, // $0.10 per operation
priority: 'high'
});
this.optimizers.set('quality_performance', {
name: 'quality_performance',
target: 'maximize_quality_per_cost',
strategies: ['quality_caching', 'selective_processing', 'adaptive_quality'],
threshold: 0.7, // 70% quality minimum
priority: 'critical'
});
this.optimizers.set('throughput', {
name: 'throughput',
target: 'maximize_throughput',
strategies: ['parallel_execution', 'pipeline_optimization', 'batch_processing'],
threshold: 10, // 10 operations per minute
priority: 'medium'
});
}
/**
* Optimize loop performance
*/
async optimize(loop, workflowResult) {
const startTime = Date.now();
const optimizationResult = {
optimizations: [],
performance: {},
cost: {},
recommendations: [],
duration: 0
};
try {
// Phase 1: Performance Analysis
const performanceAnalysis = await this.analyzePerformance(loop, workflowResult);
optimizationResult.performance = performanceAnalysis;
// Phase 2: Resource Optimization
const resourceOptimization = await this.optimizeResources(loop, performanceAnalysis);
optimizationResult.optimizations.push(...resourceOptimization);
// Phase 3: Cost Optimization
const costOptimization = await this.optimizeCost(loop, performanceAnalysis);
optimizationResult.cost = costOptimization;
// Phase 4: Cache Optimization
const cacheOptimization = await this.optimizeCache(loop, workflowResult);
optimizationResult.optimizations.push(...cacheOptimization);
// Phase 5: Load Balancing
const loadBalancing = await this.optimizeLoadBalancing(loop, performanceAnalysis);
optimizationResult.optimizations.push(...loadBalancing);
// Phase 6: Generate Recommendations
optimizationResult.recommendations = await this.generateOptimizationRecommendations(
loop, performanceAnalysis, optimizationResult.optimizations
);
optimizationResult.duration = Date.now() - startTime;
console.log(`⚡ [${loop.id}] Performance optimization completed: ${optimizationResult.optimizations.length} optimizations applied`);
} catch (error) {
console.error(`❌ [${loop.id}] Performance optimization error:`, error);
optimizationResult.error = error.message;
}
return {
...workflowResult,
optimization: optimizationResult
};
}
/**
* Analyze current performance metrics
*/
async analyzePerformance(loop, workflowResult) {
const analysis = {
responseTime: workflowResult.duration || 0,
resourceUtilization: await this.resourceMonitor.getCurrentUtilization(),
qualityMetrics: this.extractQualityMetrics(workflowResult),
throughput: this.calculateThroughput(loop),
bottlenecks: [],
trends: []
};
// Identify bottlenecks
analysis.bottlenecks = await this.identifyBottlenecks(analysis);
// Analyze trends
analysis.trends = await this.analyzeTrends(loop, analysis);
// Calculate performance score
analysis.overallScore = this.calculatePerformanceScore(analysis);
return analysis;
}
/**
* Optimize resource utilization
*/
async optimizeResources(loop, performanceAnalysis) {
const optimizations = [];
// CPU optimization
if (performanceAnalysis.resourceUtilization.cpu > 0.8) {
optimizations.push({
type: 'cpu_optimization',
action: 'reduce_concurrent_operations',
impact: 'medium',
expectedImprovement: '20% CPU reduction'
});
}
// Memory optimization
if (performanceAnalysis.resourceUtilization.memory > 0.8) {
optimizations.push({
type: 'memory_optimization',
action: 'implement_memory_pooling',
impact: 'high',
expectedImprovement: '30% memory reduction'
});
}
// Network optimization
if (performanceAnalysis.responseTime > 5000) {
optimizations.push({
type: 'network_optimization',
action: 'enable_connection_pooling',
impact: 'high',
expectedImprovement: '40% response time reduction'
});
}
return optimizations;
}
/**
* Optimize cost efficiency
*/
async optimizeCost(loop, performanceAnalysis) {
const costAnalysis = await this.costAnalyzer.analyzeCosts(loop, performanceAnalysis);
const optimization = {
currentCost: costAnalysis.currentCost,
optimizedCost: costAnalysis.optimizedCost,
savings: costAnalysis.currentCost - costAnalysis.optimizedCost,
savingsPercentage: ((costAnalysis.currentCost - costAnalysis.optimizedCost) / costAnalysis.currentCost) * 100,
strategies: costAnalysis.strategies
};
return optimization;
}
/**
* Optimize caching strategy
*/
async optimizeCache(loop, workflowResult) {
const optimizations = [];
const cacheAnalysis = await this.cacheOptimizer.analyzeCache(loop, workflowResult);
if (cacheAnalysis.hitRate < 0.6) {
optimizations.push({
type: 'cache_optimization',
action: 'improve_cache_strategy',
impact: 'high',
expectedImprovement: `Increase hit rate from ${(cacheAnalysis.hitRate * 100).toFixed(1)}% to 80%`
});
}
if (cacheAnalysis.memoryUsage > 0.8) {
optimizations.push({
type: 'cache_memory_optimization',
action: 'implement_cache_eviction',
impact: 'medium',
expectedImprovement: 'Reduce cache memory usage by 25%'
});
}
return optimizations;
}
/**
* Optimize load balancing
*/
async optimizeLoadBalancing(loop, performanceAnalysis) {
const optimizations = [];
const loadAnalysis = await this.loadBalancer.analyzeLoad(loop, performanceAnalysis);
if (loadAnalysis.imbalance > 0.3) {
optimizations.push({
type: 'load_balancing',
action: 'redistribute_workload',
impact: 'high',
expectedImprovement: `Reduce load imbalance from ${(loadAnalysis.imbalance * 100).toFixed(1)}% to 10%`
});
}
if (loadAnalysis.queueLength > 10) {
optimizations.push({
type: 'queue_optimization',
action: 'implement_priority_queuing',
impact: 'medium',
expectedImprovement: 'Reduce average queue wait time by 50%'
});
}
return optimizations;
}
/**
* Generate optimization recommendations
*/
async generateOptimizationRecommendations(loop, performanceAnalysis, optimizations) {
const recommendations = [];
// Performance-based recommendations
if (performanceAnalysis.overallScore < 0.7) {
recommendations.push({
priority: 'high',
category: 'performance',
recommendation: 'Implement comprehensive performance optimization strategy',
actions: ['Enable smart caching', 'Optimize resource allocation', 'Implement load balancing'],
expectedImpact: 'Improve overall performance score by 30%'
});
}
// Cost-based recommendations
const costOptimization = optimizations.find(opt => opt.type === 'cost_optimization');
if (costOptimization && costOptimization.savings > 0.05) {
recommendations.push({
priority: 'medium',
category: 'cost',
recommendation: 'Implement cost optimization strategies',
actions: ['Smart provider selection', 'Batch processing', 'Cache optimization'],
expectedImpact: `Reduce costs by $${costOptimization.savings.toFixed(3)} per operation`
});
}
// Quality-based recommendations
if (performanceAnalysis.qualityMetrics.average < 0.8) {
recommendations.push({
priority: 'high',
category: 'quality',
recommendation: 'Enhance quality optimization mechanisms',
actions: ['Implement quality caching', 'Adaptive quality thresholds', 'Enhanced validation'],
expectedImpact: 'Improve average quality score by 15%'
});
}
// Resource-based recommendations
if (performanceAnalysis.resourceUtilization.overall > 0.8) {
recommendations.push({
priority: 'medium',
category: 'resources',
recommendation: 'Optimize resource utilization',
actions: ['Implement resource pooling', 'Dynamic scaling', 'Efficient allocation'],
expectedImpact: 'Reduce resource utilization by 20%'
});
}
return recommendations;
}
/**
* Utility methods
*/
extractQualityMetrics(workflowResult) {
const qualities = [];
if (workflowResult.consensus?.confidence) {
qualities.push(workflowResult.consensus.confidence);
}
if (workflowResult.contributions) {
qualities.push(...workflowResult.contributions.map(c => c.quality || 0.5));
}
return {
values: qualities,
average: qualities.length > 0 ? qualities.reduce((a, b) => a + b, 0) / qualities.length : 0.5,
min: qualities.length > 0 ? Math.min(...qualities) : 0.5,
max: qualities.length > 0 ? Math.max(...qualities) : 0.5
};
}
calculateThroughput(loop) {
const uptime = Date.now() - loop.startTime;
const iterations = loop.currentIteration || 1;
return iterations / (uptime / 60000); // iterations per minute
}
async identifyBottlenecks(analysis) {
const bottlenecks = [];
if (analysis.responseTime > 10000) {
bottlenecks.push({
type: 'response_time',
severity: 'high',
description: 'Response time exceeds 10 seconds',
impact: 'User experience degradation'
});
}
if (analysis.resourceUtilization.cpu > 0.9) {
bottlenecks.push({
type: 'cpu_bottleneck',
severity: 'critical',
description: 'CPU utilization above 90%',
impact: 'System performance degradation'
});
}
if (analysis.qualityMetrics.average < 0.5) {
bottlenecks.push({
type: 'quality_bottleneck',
severity: 'high',
description: 'Quality metrics below acceptable threshold',
impact: 'Output quality degradation'
});
}
return bottlenecks;
}
async analyzeTrends(loop, analysis) {
// Placeholder for trend analysis
return [
{
metric: 'response_time',
trend: 'stable',
direction: 'neutral',
confidence: 0.8
},
{
metric: 'quality',
trend: 'improving',
direction: 'positive',
confidence: 0.7
}
];
}
calculatePerformanceScore(analysis) {
const responseTimeScore = Math.max(0, 1 - (analysis.responseTime / 10000));
const resourceScore = 1 - analysis.resourceUtilization.overall;
const qualityScore = analysis.qualityMetrics.average;
const throughputScore = Math.min(1, analysis.throughput / 10);
return (responseTimeScore * 0.3 + resourceScore * 0.2 + qualityScore * 0.3 + throughputScore * 0.2);
}
}
/**
* Resource Monitor for tracking system resources
*/
class ResourceMonitor {
async getCurrentUtilization() {
// Simulate resource monitoring
return {
cpu: Math.random() * 0.8,
memory: Math.random() * 0.7,
network: Math.random() * 0.6,
disk: Math.random() * 0.5,
overall: Math.random() * 0.7
};
}
}
/**
* Cost Analyzer for cost optimization
*/
class CostAnalyzer {
async analyzeCosts(loop, performanceAnalysis) {
const currentCost = this.calculateCurrentCost(loop, performanceAnalysis);
const optimizedCost = this.calculateOptimizedCost(currentCost, performanceAnalysis);
return {
currentCost: currentCost,
optimizedCost: optimizedCost,
strategies: [
'Smart caching to reduce API calls',
'Batch processing for efficiency',
'Provider selection optimization'
]
};
}
calculateCurrentCost(loop, analysis) {
// Simulate cost calculation
const baseCost = 0.01; // $0.01 per operation
const complexityMultiplier = 1 + (analysis.responseTime / 10000);
return baseCost * complexityMultiplier * (loop.currentIteration || 1);
}
calculateOptimizedCost(currentCost, analysis) {
// Simulate optimization savings
const optimizationFactor = 0.7; // 30% savings
return currentCost * optimizationFactor;
}
}
/**
* Load Balancer for workload distribution
*/
class LoadBalancer {
async analyzeLoad(loop, performanceAnalysis) {
return {
imbalance: Math.random() * 0.5, // 0-50% imbalance
queueLength: Math.floor(Math.random() * 20),
activeWorkers: 3,
averageResponseTime: performanceAnalysis.responseTime
};
}
}
/**
* Cache Optimizer for caching strategy optimization
*/
class CacheOptimizer {
async analyzeCache(loop, workflowResult) {
return {
hitRate: 0.5 + Math.random() * 0.4, // 50-90% hit rate
memoryUsage: Math.random() * 0.9,
evictionRate: Math.random() * 0.1,
averageAccessTime: Math.random() * 100
};
}
}