Advanced Optimization

Master advanced webMCP optimization techniques. Achieve maximum token reduction with sophisticated strategies and enterprise-grade features.

Advanced Optimization Strategies

Sophisticated techniques for maximum token reduction and performance

Aggressive Token Reduction

Maximum token reduction with semantic preservation

75-85%
Token Reduction
Medium
Risk Level

Key Techniques:

  • Semantic structure compression
  • Redundant attribute removal
  • Smart whitespace optimization
  • Context-aware element merging

Multi-Model Optimization

Target multiple AI models simultaneously

60-70%
Token Reduction
Low
Risk Level

Key Techniques:

  • Cross-model compatibility analysis
  • Model-specific optimizations
  • Universal token patterns
  • Adaptive compression strategies

Dynamic Context Optimization

Runtime optimization based on usage patterns

65-75%
Token Reduction
Low
Risk Level

Key Techniques:

  • Usage pattern analysis
  • Runtime element prioritization
  • Adaptive compression levels
  • Context-sensitive optimization

Hierarchical Structure Optimization

Advanced DOM tree restructuring

70-80%
Token Reduction
Medium
Risk Level

Key Techniques:

  • DOM tree flattening
  • Semantic grouping optimization
  • Nested structure compression
  • Parent-child relationship optimization

Enterprise Features

Advanced capabilities for large-scale optimization deployments

Custom Optimization Rules

Define domain-specific optimization patterns

  • Rule-based optimization engine
  • Custom attribute handling
  • Business logic preservation
  • Industry-specific templates

Performance Profiling

Deep analysis of optimization performance

  • Token reduction analytics
  • Processing time metrics
  • Memory usage tracking
  • Bottleneck identification

A/B Testing Framework

Compare optimization strategies scientifically

  • Split testing configurations
  • Statistical significance testing
  • Performance comparison
  • Automated winner selection

Enterprise Integration

Scale optimization across large organizations

  • Centralized configuration management
  • Team collaboration tools
  • Audit logging and compliance
  • Multi-environment deployment

Advanced Implementation

Production-ready code examples for advanced optimization scenarios

Advanced Configuration

Complex optimization settings for maximum performance

JavaScript
import { WebMCPProcessor, OptimizationEngine } from '@webmcp/core';

const advancedConfig = {
  // Multi-model optimization
  models: {
    primary: 'gpt-4o',
    fallback: 'claude-3.5-sonnet',
    comparison: ['gpt-4', 'gemini-pro']
  },
  
  // Aggressive optimization settings
  optimization: {
    level: 'aggressive',
    strategies: [
      'semantic_compression',
      'hierarchical_restructuring',
      'dynamic_context_optimization',
      'cross_model_compatibility'
    ],
    
    // Advanced token reduction settings
    tokenReduction: {
      target: 80,
      minimum: 60,
      preserveSemantics: true,
      allowStructuralChanges: true
    },
    
    // Custom optimization rules
    customRules: [
      {
        name: 'form_field_optimization',
        pattern: /input[.*data-webmcp.*]/g,
        handler: (element) => {
          // Custom optimization logic
          return optimizeFormField(element);
        }
      },
      {
        name: 'redundant_wrapper_removal',
        selector: 'div.wrapper:only-child',
        action: 'unwrap'
      }
    ],
    
    // Performance optimization
    performance: {
      parallelProcessing: true,
      cacheResults: true,
      batchSize: 50,
      timeoutMs: 30000
    }
  },
  
  // Advanced analytics
  analytics: {
    enabled: true,
    detailed: true,
    realTime: true,
    
    // Custom metrics
    customMetrics: [
      'semantic_preservation_score',
      'structural_complexity_reduction',
      'cross_model_compatibility_score'
    ],
    
    // A/B testing configuration
    abTesting: {
      enabled: true,
      variants: [
        { name: 'conservative', level: 'moderate' },
        { name: 'aggressive', level: 'aggressive' },
        { name: 'experimental', level: 'experimental' }
      ],
      trafficSplit: [0.4, 0.4, 0.2]
    }
  },
  
  // Quality assurance
  qualityAssurance: {
    semanticValidation: true,
    functionalityTesting: true,
    performanceBaseline: {
      tokenReductionMin: 60,
      processingTimeMax: 5000,
      accuracyMin: 95
    }
  }
};

// Initialize advanced processor
const processor = new WebMCPProcessor(advancedConfig);

// Custom optimization function
function optimizeFormField(element) {
  const attributes = element.attributes;
  const optimized = {};
  
  // Intelligent attribute compression
  for (const attr of attributes) {
    if (attr.name.startsWith('data-webmcp-')) {
      // Compress webMCP attributes
      optimized[compressAttribute(attr.name)] = attr.value;
    } else if (isEssentialAttribute(attr.name)) {
      optimized[attr.name] = attr.value;
    }
  }
  
  return {
    tagName: element.tagName.toLowerCase(),
    attributes: optimized,
    innerHTML: element.innerHTML
  };
}

function compressAttribute(attrName) {
  const compressionMap = {
    'data-webmcp-optimize': 'data-wo',
    'data-webmcp-target': 'data-wt',
    'data-webmcp-field': 'data-wf',
    'data-webmcp-validate': 'data-wv'
  };
  return compressionMap[attrName] || attrName;
}

function isEssentialAttribute(attrName) {
  const essential = ['id', 'name', 'type', 'required', 'class'];
  return essential.includes(attrName);
}

// Advanced processing with multiple strategies
async function processWithAdvancedOptimization(htmlContent) {
  try {
    // Multi-strategy optimization
    const strategies = ['conservative', 'aggressive', 'experimental'];
    const results = await Promise.all(
      strategies.map(strategy => 
        processor.optimize(htmlContent, { strategy })
      )
    );
    
    // Compare results and select best
    const bestResult = selectBestOptimization(results);
    
    // Additional post-processing
    const finalResult = await postProcessOptimization(bestResult);
    
    return finalResult;
    
  } catch (error) {
    console.error('Advanced optimization failed:', error);
    throw error;
  }
}

function selectBestOptimization(results) {
  return results.reduce((best, current) => {
    const bestScore = calculateOptimizationScore(best);
    const currentScore = calculateOptimizationScore(current);
    return currentScore > bestScore ? current : best;
  });
}

function calculateOptimizationScore(result) {
  const tokenReductionWeight = 0.4;
  const semanticPreservationWeight = 0.3;
  const performanceWeight = 0.3;
  
  return (
    result.tokenReduction * tokenReductionWeight +
    result.semanticScore * semanticPreservationWeight +
    result.performanceScore * performanceWeight
  );
}

async function postProcessOptimization(result) {
  // Additional optimization passes
  const passes = [
    'finalCompressionPass',
    'semanticValidation',
    'performanceOptimization'
  ];
  
  let optimized = result;
  for (const pass of passes) {
    optimized = await processor.runOptimizationPass(optimized, pass);
  }
  
  return optimized;
}

Custom Rule Engine

Build domain-specific optimization rules

JavaScript
import { RuleEngine, OptimizationRule } from '@webmcp/advanced';

class AdvancedRuleEngine extends RuleEngine {
  constructor() {
    super();
    this.initializeRules();
  }
  
  initializeRules() {
    // E-commerce specific rules
    this.addRule(new EcommerceFormRule());
    this.addRule(new ProductCatalogRule());
    this.addRule(new CheckoutOptimizationRule());
    
    // Content management rules
    this.addRule(new CMSFormRule());
    this.addRule(new BlogOptimizationRule());
    
    // Enterprise application rules
    this.addRule(new EnterpriseFormRule());
    this.addRule(new DashboardOptimizationRule());
  }
}

// E-commerce optimization rule
class EcommerceFormRule extends OptimizationRule {
  constructor() {
    super('ecommerce_form_optimization');
    this.priority = 10;
    this.targets = ['form[data-type="checkout"]', 'form[data-type="product"]'];
  }
  
  canApply(element) {
    return element.hasAttribute('data-ecommerce') || 
           element.closest('[data-context="ecommerce"]');
  }
  
  apply(element) {
    const optimizations = [];
    
    // Optimize product selection fields
    if (element.querySelector('[data-product-variant]')) {
      optimizations.push(this.optimizeProductVariants(element));
    }
    
    // Optimize shipping information
    if (element.querySelector('[data-shipping]')) {
      optimizations.push(this.optimizeShippingFields(element));
    }
    
    // Optimize payment fields
    if (element.querySelector('[data-payment]')) {
      optimizations.push(this.optimizePaymentFields(element));
    }
    
    return {
      element: this.applyOptimizations(element, optimizations),
      tokenReduction: this.calculateReduction(optimizations),
      confidence: 0.95
    };
  }
  
  optimizeProductVariants(element) {
    // Compress product variant selection
    const variants = element.querySelectorAll('[data-product-variant]');
    return {
      type: 'product_variant_compression',
      elements: variants,
      reduction: 0.3
    };
  }
  
  optimizeShippingFields(element) {
    // Smart shipping field grouping
    const shippingFields = element.querySelectorAll('[data-shipping]');
    return {
      type: 'shipping_field_grouping',
      elements: shippingFields,
      reduction: 0.25
    };
  }
  
  optimizePaymentFields(element) {
    // Secure payment field optimization
    const paymentFields = element.querySelectorAll('[data-payment]');
    return {
      type: 'payment_field_optimization',
      elements: paymentFields,
      reduction: 0.2,
      preserveSecurity: true
    };
  }
}

// Enterprise application rule
class EnterpriseFormRule extends OptimizationRule {
  constructor() {
    super('enterprise_form_optimization');
    this.priority = 8;
    this.targets = ['form[data-enterprise]', '.enterprise-form'];
  }
  
  apply(element) {
    const context = this.analyzeEnterpriseContext(element);
    
    switch (context.type) {
      case 'data_entry':
        return this.optimizeDataEntry(element, context);
      case 'workflow':
        return this.optimizeWorkflow(element, context);
      case 'reporting':
        return this.optimizeReporting(element, context);
      default:
        return this.optimizeGenericEnterprise(element, context);
    }
  }
  
  analyzeEnterpriseContext(element) {
    // Analyze form context and purpose
    const attributes = Array.from(element.attributes);
    const classes = element.className.split(' ');
    
    return {
      type: this.detectFormType(attributes, classes),
      complexity: this.assessComplexity(element),
      businessCriticality: this.assessCriticality(element),
      userRole: this.detectUserRole(element)
    };
  }
  
  optimizeDataEntry(element, context) {
    // Optimize for high-volume data entry
    const optimizations = [
      this.groupRelatedFields(element),
      this.optimizeValidationRules(element),
      this.compressMetadata(element)
    ];
    
    return this.applyOptimizations(element, optimizations);
  }
  
  optimizeWorkflow(element, context) {
    // Optimize for workflow processes
    const optimizations = [
      this.optimizeWorkflowSteps(element),
      this.compressStateInformation(element),
      this.optimizeApprovalFields(element)
    ];
    
    return this.applyOptimizations(element, optimizations);
  }
}

// Dynamic rule loading
class DynamicRuleLoader {
  constructor(ruleEngine) {
    this.ruleEngine = ruleEngine;
    this.loadedRules = new Set();
  }
  
  async loadRulesForContext(context) {
    const rulesToLoad = this.identifyRequiredRules(context);
    
    for (const ruleSpec of rulesToLoad) {
      if (!this.loadedRules.has(ruleSpec.name)) {
        const rule = await this.loadRule(ruleSpec);
        this.ruleEngine.addRule(rule);
        this.loadedRules.add(ruleSpec.name);
      }
    }
  }
  
  identifyRequiredRules(context) {
    const rules = [];
    
    // Industry-specific rules
    if (context.industry) {
      rules.push({ name: `${context.industry}_optimization`, type: 'industry' });
    }
    
    // Framework-specific rules
    if (context.framework) {
      rules.push({ name: `${context.framework}_integration`, type: 'framework' });
    }
    
    // Custom business rules
    if (context.businessRules) {
      context.businessRules.forEach(rule => {
        rules.push({ name: rule, type: 'business' });
      });
    }
    
    return rules;
  }
  
  async loadRule(ruleSpec) {
    try {
      // Dynamic rule loading from registry
      const ruleModule = await import(`@webmcp/rules/${ruleSpec.type}/${ruleSpec.name}`);
      return new ruleModule.default();
    } catch (error) {
      console.warn(`Failed to load rule ${ruleSpec.name}:`, error);
      return null;
    }
  }
}

// Usage example
const ruleEngine = new AdvancedRuleEngine();
const dynamicLoader = new DynamicRuleLoader(ruleEngine);

// Process with context-aware rules
async function processWithAdvancedRules(htmlContent, context) {
  // Load context-specific rules
  await dynamicLoader.loadRulesForContext(context);
  
  // Apply optimization with all rules
  const result = await ruleEngine.optimize(htmlContent, {
    context,
    preserveBusinessLogic: true,
    validateCompliance: true
  });
  
  return result;
}

Performance Monitoring

Advanced performance tracking and optimization

JavaScript
import { PerformanceMonitor, MetricsCollector } from '@webmcp/monitoring';

class AdvancedPerformanceMonitor extends PerformanceMonitor {
  constructor(config) {
    super(config);
    this.metricsCollector = new MetricsCollector();
    this.benchmarks = new Map();
    this.alerts = new Map();
  }
  
  async monitorOptimization(processor, htmlContent, options = {}) {
    const sessionId = this.generateSessionId();
    const startTime = performance.now();
    
    try {
      // Pre-optimization metrics
      const preMetrics = await this.collectPreOptimizationMetrics(htmlContent);
      
      // Start monitoring
      const monitor = this.startRealTimeMonitoring(sessionId);
      
      // Run optimization with monitoring
      const result = await this.monitoredOptimization(processor, htmlContent, options);
      
      // Post-optimization metrics
      const postMetrics = await this.collectPostOptimizationMetrics(result);
      
      // Calculate performance insights
      const insights = this.generatePerformanceInsights(preMetrics, postMetrics);
      
      // Stop monitoring
      monitor.stop();
      
      return {
        ...result,
        performance: {
          sessionId,
          duration: performance.now() - startTime,
          metrics: { pre: preMetrics, post: postMetrics },
          insights,
          recommendations: this.generateRecommendations(insights)
        }
      };
      
    } catch (error) {
      this.recordError(sessionId, error);
      throw error;
    }
  }
  
  async collectPreOptimizationMetrics(htmlContent) {
    return {
      // Content analysis
      contentSize: htmlContent.length,
      elementCount: this.countElements(htmlContent),
      complexityScore: this.calculateComplexity(htmlContent),
      tokenEstimate: this.estimateTokens(htmlContent),
      
      // Structure analysis
      nestingDepth: this.calculateNestingDepth(htmlContent),
      attributeCount: this.countAttributes(htmlContent),
      redundancyScore: this.calculateRedundancy(htmlContent),
      
      // Performance baseline
      memoryUsage: this.getMemoryUsage(),
      timestamp: Date.now()
    };
  }
  
  async collectPostOptimizationMetrics(result) {
    return {
      // Optimization results
      contentSize: result.optimizedHtml.length,
      elementCount: this.countElements(result.optimizedHtml),
      complexityScore: this.calculateComplexity(result.optimizedHtml),
      actualTokens: result.tokenCount,
      
      // Reduction metrics
      sizeReduction: result.sizeReduction,
      tokenReduction: result.tokenReduction,
      complexityReduction: result.complexityReduction,
      
      // Quality metrics
      semanticScore: result.semanticPreservationScore,
      functionalityScore: result.functionalityScore,
      
      // Performance metrics
      processingTime: result.processingTime,
      memoryUsage: this.getMemoryUsage(),
      timestamp: Date.now()
    };
  }
  
  startRealTimeMonitoring(sessionId) {
    const intervals = [];
    
    // Memory monitoring
    intervals.push(setInterval(() => {
      this.recordMetric(sessionId, 'memory', this.getMemoryUsage());
    }, 1000));
    
    // CPU monitoring
    intervals.push(setInterval(() => {
      this.recordMetric(sessionId, 'cpu', this.getCPUUsage());
    }, 2000));
    
    // Progress monitoring
    intervals.push(setInterval(() => {
      this.recordMetric(sessionId, 'progress', this.getOptimizationProgress());
    }, 500));
    
    return {
      stop: () => intervals.forEach(interval => clearInterval(interval))
    };
  }
  
  async monitoredOptimization(processor, htmlContent, options) {
    // Wrap processor methods with monitoring
    const originalOptimize = processor.optimize.bind(processor);
    
    processor.optimize = async (content, opts) => {
      const stepStart = performance.now();
      
      try {
        const result = await originalOptimize(content, opts);
        
        this.recordStep({
          step: 'optimization',
          duration: performance.now() - stepStart,
          success: true,
          metrics: this.extractStepMetrics(result)
        });
        
        return result;
      } catch (error) {
        this.recordStep({
          step: 'optimization',
          duration: performance.now() - stepStart,
          success: false,
          error: error.message
        });
        throw error;
      }
    };
    
    return await processor.optimize(htmlContent, options);
  }
  
  generatePerformanceInsights(preMetrics, postMetrics) {
    const insights = {
      efficiency: {
        tokenReductionRate: (preMetrics.tokenEstimate - postMetrics.actualTokens) / preMetrics.tokenEstimate,
        processingEfficiency: postMetrics.tokenReduction / postMetrics.processingTime,
        memoryEfficiency: (preMetrics.memoryUsage - postMetrics.memoryUsage) / preMetrics.memoryUsage
      },
      
      quality: {
        semanticPreservation: postMetrics.semanticScore,
        functionalityPreservation: postMetrics.functionalityScore,
        overallQuality: (postMetrics.semanticScore + postMetrics.functionalityScore) / 2
      },
      
      performance: {
        speedScore: this.calculateSpeedScore(postMetrics.processingTime),
        scalabilityScore: this.calculateScalabilityScore(preMetrics, postMetrics),
        reliabilityScore: this.calculateReliabilityScore()
      }
    };
    
    // Calculate overall performance score
    insights.overallScore = (
      insights.efficiency.tokenReductionRate * 0.4 +
      insights.quality.overallQuality * 0.3 +
      insights.performance.speedScore * 0.3
    );
    
    return insights;
  }
  
  generateRecommendations(insights) {
    const recommendations = [];
    
    // Performance recommendations
    if (insights.performance.speedScore < 0.7) {
      recommendations.push({
        type: 'performance',
        priority: 'high',
        message: 'Consider enabling parallel processing for better speed',
        action: 'enable_parallel_processing'
      });
    }
    
    // Quality recommendations
    if (insights.quality.semanticPreservation < 0.8) {
      recommendations.push({
        type: 'quality',
        priority: 'medium',
        message: 'Reduce optimization aggressiveness to preserve semantics',
        action: 'reduce_aggressiveness'
      });
    }
    
    // Efficiency recommendations
    if (insights.efficiency.tokenReductionRate < 0.5) {
      recommendations.push({
        type: 'efficiency',
        priority: 'medium',
        message: 'Enable advanced optimization strategies for better token reduction',
        action: 'enable_advanced_strategies'
      });
    }
    
    return recommendations;
  }
  
  // Benchmark comparison
  async compareToBenchmark(metrics, benchmarkName) {
    const benchmark = this.benchmarks.get(benchmarkName);
    if (!benchmark) return null;
    
    return {
      performance: metrics.performance.speedScore / benchmark.speedScore,
      quality: metrics.quality.overallQuality / benchmark.qualityScore,
      efficiency: metrics.efficiency.tokenReductionRate / benchmark.reductionRate
    };
  }
  
  // Alert system
  checkAlerts(metrics) {
    const triggeredAlerts = [];
    
    for (const [alertName, alert] of this.alerts) {
      if (alert.condition(metrics)) {
        triggeredAlerts.push({
          name: alertName,
          severity: alert.severity,
          message: alert.message,
          value: alert.getValue ? alert.getValue(metrics) : null
        });
      }
    }
    
    return triggeredAlerts;
  }
}

// Usage example
const monitor = new AdvancedPerformanceMonitor({
  enableRealTime: true,
  collectDetailedMetrics: true,
  benchmarkComparison: true
});

// Set up alerts
monitor.addAlert('slow_processing', {
  condition: (metrics) => metrics.performance.processingTime > 10000,
  severity: 'warning',
  message: 'Processing time exceeds 10 seconds'
});

monitor.addAlert('low_token_reduction', {
  condition: (metrics) => metrics.efficiency.tokenReductionRate < 0.3,
  severity: 'info',
  message: 'Token reduction below 30%'
});

// Monitor optimization
async function runMonitoredOptimization(htmlContent) {
  const result = await monitor.monitorOptimization(processor, htmlContent, {
    enableAdvancedMetrics: true,
    compareWithBenchmarks: ['standard', 'aggressive']
  });
  
  // Check for alerts
  const alerts = monitor.checkAlerts(result.performance.metrics);
  if (alerts.length > 0) {
    console.warn('Performance alerts:', alerts);
  }
  
  // Apply recommendations
  if (result.performance.recommendations.length > 0) {
    console.log('Optimization recommendations:', result.performance.recommendations);
  }
  
  return result;
}

Best Practices

Expert recommendations for successful advanced optimization deployments

Configuration

  • Use progressive optimization levels for testing
  • Enable semantic validation for critical forms
  • Configure model-specific optimizations
  • Implement proper error handling and fallbacks

Performance

  • Enable parallel processing for batch operations
  • Use caching for frequently optimized patterns
  • Monitor memory usage during large operations
  • Implement request throttling for API limits

Quality Assurance

  • Validate optimization results against baselines
  • Test cross-browser compatibility after optimization
  • Verify accessibility standards compliance
  • Monitor semantic preservation scores

Production Deployment

  • Use staged rollouts for optimization changes
  • Implement monitoring and alerting systems
  • Maintain optimization result archives
  • Set up automatic performance regression testing

Ready for Enterprise Deployment?

Scale your advanced optimizations across your organization with enterprise-grade features