Browser AI Performance Optimization

Browser AI Performance Optimization

This guide provides comprehensive strategies for optimizing AI workflow performance in browser environments, covering everything from memory management to network optimization and user experience enhancements.

Performance Optimization Framework

Performance Monitoring and Metrics

Implement comprehensive performance monitoring for AI workflows:

// AI Performance Monitor
class AIPerformanceMonitor {
  constructor() {
    this.metrics = new Map();
    this.thresholds = {
      responseTime: 3000,    // 3 seconds
      memoryUsage: 0.8,      // 80% of available memory
      errorRate: 0.05,       // 5% error rate
      cacheHitRate: 0.7      // 70% cache hit rate
    };
    this.alerts = new Set();
  }

  async startMonitoring() {
    // Monitor response times
    this.monitorResponseTimes();

    // Monitor memory usage
    this.monitorMemoryUsage();

    // Monitor error rates
    this.monitorErrorRates();

    // Monitor cache performance
    this.monitorCachePerformance();

    // Generate performance reports
    setInterval(() => this.generatePerformanceReport(), 60000); // Every minute
  }

  async measureAIOperation(operationName, operation) {
    const startTime = performance.now();
    const startMemory = await this.getCurrentMemoryUsage();

    try {
      const result = await operation();

      const endTime = performance.now();
      const endMemory = await this.getCurrentMemoryUsage();

      this.recordMetric(operationName, {
        duration: endTime - startTime,
        memoryDelta: endMemory.used - startMemory.used,
        success: true,
        timestamp: Date.now()
      });

      return result;
    } catch (error) {
      const endTime = performance.now();

      this.recordMetric(operationName, {
        duration: endTime - startTime,
        success: false,
        error: error.message,
        timestamp: Date.now()
      });

      throw error;
    }
  }

  recordMetric(operation, metric) {
    if (!this.metrics.has(operation)) {
      this.metrics.set(operation, []);
    }

    const operationMetrics = this.metrics.get(operation);
    operationMetrics.push(metric);

    // Keep only recent metrics (last 100 operations)
    if (operationMetrics.length > 100) {
      operationMetrics.shift();
    }

    // Check for performance issues
    this.checkPerformanceThresholds(operation, metric);
  }

  checkPerformanceThresholds(operation, metric) {
    if (metric.duration > this.thresholds.responseTime) {
      this.triggerAlert('slow_response', {
        operation: operation,
        duration: metric.duration,
        threshold: this.thresholds.responseTime
      });
    }

    if (metric.memoryDelta > 50 * 1024 * 1024) { // 50MB increase
      this.triggerAlert('high_memory_usage', {
        operation: operation,
        memoryDelta: metric.memoryDelta
      });
    }
  }

  async generatePerformanceReport() {
    const report = {
      timestamp: Date.now(),
      operations: {},
      summary: {
        totalOperations: 0,
        averageResponseTime: 0,
        errorRate: 0,
        memoryEfficiency: 0
      }
    };

    for (const [operation, metrics] of this.metrics.entries()) {
      const recentMetrics = metrics.slice(-20); // Last 20 operations

      report.operations[operation] = {
        count: recentMetrics.length,
        averageTime: this.calculateAverage(recentMetrics, 'duration'),
        successRate: recentMetrics.filter(m => m.success).length / recentMetrics.length,
        memoryUsage: this.calculateAverage(recentMetrics, 'memoryDelta')
      };

      report.summary.totalOperations += recentMetrics.length;
    }

    // Calculate summary metrics
    const allMetrics = Array.from(this.metrics.values()).flat();
    report.summary.averageResponseTime = this.calculateAverage(allMetrics, 'duration');
    report.summary.errorRate = 1 - (allMetrics.filter(m => m.success).length / allMetrics.length);

    return report;
  }
}

Intelligent Caching Strategies

Implement multi-layer caching for optimal performance:

// Multi-layer AI caching system
class IntelligentAICache {
  constructor() {
    this.memoryCache = new Map();
    this.persistentCache = null;
    this.compressionEnabled = true;
    this.cacheStrategies = new Map();

    this.initializePersistentCache();
  }

  async initializePersistentCache() {
    try {
      // Use IndexedDB for persistent caching
      this.persistentCache = await this.openIndexedDB();
    } catch (error) {
      console.warn('Persistent cache unavailable, using memory only');
    }
  }

  async get(key, options = {}) {
    // Try memory cache first (fastest)
    const memoryResult = this.memoryCache.get(key);
    if (memoryResult && this.isValid(memoryResult, options)) {
      this.updateAccessTime(memoryResult);
      return this.deserialize(memoryResult.data);
    }

    // Try persistent cache
    if (this.persistentCache) {
      const persistentResult = await this.getFromPersistentCache(key);
      if (persistentResult && this.isValid(persistentResult, options)) {
        // Promote to memory cache
        this.memoryCache.set(key, persistentResult);
        return this.deserialize(persistentResult.data);
      }
    }

    return null;
  }

  async set(key, data, options = {}) {
    const cacheEntry = {
      data: await this.serialize(data),
      timestamp: Date.now(),
      lastAccessed: Date.now(),
      ttl: options.ttl || 3600000, // 1 hour default
      size: this.calculateSize(data),
      metadata: options.metadata || {}
    };

    // Store in memory cache
    this.memoryCache.set(key, cacheEntry);

    // Store in persistent cache if available and data is cacheable
    if (this.persistentCache && this.shouldPersist(cacheEntry, options)) {
      await this.setInPersistentCache(key, cacheEntry);
    }

    // Manage cache size
    await this.manageCacheSize();
  }

  async serialize(data) {
    if (!this.compressionEnabled) {
      return JSON.stringify(data);
    }

    try {
      const jsonString = JSON.stringify(data);

      // Use compression for large data
      if (jsonString.length > 1024) {
        return await this.compress(jsonString);
      }

      return jsonString;
    } catch (error) {
      console.warn('Serialization failed:', error);
      return JSON.stringify(data);
    }
  }

  async compress(data) {
    if ('CompressionStream' in window) {
      const stream = new CompressionStream('gzip');
      const writer = stream.writable.getWriter();
      const reader = stream.readable.getReader();

      writer.write(new TextEncoder().encode(data));
      writer.close();

      const chunks = [];
      let done = false;

      while (!done) {
        const { value, done: readerDone } = await reader.read();
        done = readerDone;
        if (value) chunks.push(value);
      }

      return {
        compressed: true,
        data: new Uint8Array(chunks.reduce((acc, chunk) => [...acc, ...chunk], []))
      };
    }

    // Fallback: simple string compression
    return {
      compressed: false,
      data: data
    };
  }

  // Intelligent cache invalidation
  async invalidateRelated(key, pattern) {
    const keysToInvalidate = [];

    // Find related keys in memory cache
    for (const cacheKey of this.memoryCache.keys()) {
      if (this.matchesPattern(cacheKey, pattern)) {
        keysToInvalidate.push(cacheKey);
      }
    }

    // Invalidate found keys
    for (const keyToInvalidate of keysToInvalidate) {
      this.memoryCache.delete(keyToInvalidate);

      if (this.persistentCache) {
        await this.removeFromPersistentCache(keyToInvalidate);
      }
    }

    return keysToInvalidate.length;
  }

  // Predictive caching based on usage patterns
  async predictiveCache(userContext, recentOperations) {
    const predictions = await this.analyzeCachingPatterns(userContext, recentOperations);

    for (const prediction of predictions) {
      if (prediction.confidence > 0.7) {
        // Pre-cache likely needed data
        await this.preCacheData(prediction.key, prediction.generator);
      }
    }
  }

  async analyzeCachingPatterns(userContext, recentOperations) {
    // Analyze user behavior patterns
    const patterns = [];

    // Sequential access patterns
    const sequentialPatterns = this.detectSequentialPatterns(recentOperations);
    patterns.push(...sequentialPatterns);

    // Time-based patterns
    const timePatterns = this.detectTimeBasedPatterns(recentOperations);
    patterns.push(...timePatterns);

    // Context-based patterns
    const contextPatterns = this.detectContextPatterns(userContext, recentOperations);
    patterns.push(...contextPatterns);

    return patterns;
  }
}

Streaming and Progressive Loading

Implement streaming for better perceived performance:

// Advanced streaming AI processor
class StreamingAIProcessor {
  constructor() {
    this.streamingStrategies = new Map();
    this.progressiveLoaders = new Map();
    this.bufferManagement = new BufferManager();
  }

  async processWithStreaming(request, onProgress, onComplete) {
    const strategy = this.selectStreamingStrategy(request);

    switch (strategy.type) {
      case 'token_streaming':
        return await this.processTokenStreaming(request, onProgress, onComplete);

      case 'chunk_streaming':
        return await this.processChunkStreaming(request, onProgress, onComplete);

      case 'progressive_enhancement':
        return await this.processProgressiveEnhancement(request, onProgress, onComplete);

      default:
        return await this.processFallback(request, onProgress, onComplete);
    }
  }

  async processTokenStreaming(request, onProgress, onComplete) {
    const stream = await this.createTokenStream(request);
    let accumulatedResponse = '';
    let tokenCount = 0;

    try {
      for await (const token of stream) {
        accumulatedResponse += token;
        tokenCount++;

        // Progressive processing of accumulated content
        const progressiveResult = await this.processProgressively(
          accumulatedResponse,
          tokenCount,
          request.context
        );

        await onProgress({
          token: token,
          accumulated: accumulatedResponse,
          processed: progressiveResult,
          progress: tokenCount / (request.estimatedTokens || 100)
        });

        // Yield control periodically
        if (tokenCount % 10 === 0) {
          await this.yieldControl();
        }
      }

      const finalResult = await this.finalizeProcesing(accumulatedResponse, request);
      await onComplete(finalResult);

      return finalResult;
    } catch (error) {
      console.error('Token streaming error:', error);
      throw error;
    }
  }

  async processProgressively(content, tokenCount, context) {
    // Process content as it arrives for immediate feedback
    const partialResults = {
      summary: null,
      keyPoints: [],
      entities: [],
      sentiment: null
    };

    // Generate summary for longer content
    if (tokenCount > 50) {
      partialResults.summary = await this.generatePartialSummary(content);
    }

    // Extract entities as they appear
    if (tokenCount > 20) {
      partialResults.entities = await this.extractPartialEntities(content);
    }

    // Analyze sentiment
    if (tokenCount > 30) {
      partialResults.sentiment = await this.analyzePartialSentiment(content);
    }

    return partialResults;
  }

  // Buffer management for smooth streaming
  class BufferManager {
    constructor() {
      this.buffers = new Map();
      this.maxBufferSize = 1024 * 1024; // 1MB
      this.flushThreshold = 0.8;
    }

    async addToBuffer(streamId, data) {
      if (!this.buffers.has(streamId)) {
        this.buffers.set(streamId, {
          data: [],
          size: 0,
          lastFlush: Date.now()
        });
      }

      const buffer = this.buffers.get(streamId);
      buffer.data.push(data);
      buffer.size += this.calculateDataSize(data);

      // Auto-flush if buffer is getting full
      if (buffer.size > this.maxBufferSize * this.flushThreshold) {
        return await this.flushBuffer(streamId);
      }

      return null;
    }

    async flushBuffer(streamId) {
      const buffer = this.buffers.get(streamId);
      if (!buffer || buffer.data.length === 0) {
        return null;
      }

      const flushedData = [...buffer.data];
      buffer.data = [];
      buffer.size = 0;
      buffer.lastFlush = Date.now();

      return flushedData;
    }
  }
}

Resource Management and Optimization

Implement intelligent resource management:

// AI Resource Manager
class AIResourceManager {
  constructor() {
    this.resourcePools = new Map();
    this.loadBalancer = new LoadBalancer();
    this.resourceMonitor = new ResourceMonitor();
  }

  async optimizeResourceUsage() {
    // Monitor current resource usage
    const usage = await this.resourceMonitor.getCurrentUsage();

    // Optimize based on usage patterns
    const optimizations = await this.generateOptimizations(usage);

    // Apply optimizations
    for (const optimization of optimizations) {
      await this.applyOptimization(optimization);
    }

    return optimizations;
  }

  async generateOptimizations(usage) {
    const optimizations = [];

    // Memory optimizations
    if (usage.memory.percentage > 0.8) {
      optimizations.push({
        type: 'memory_cleanup',
        priority: 'high',
        action: 'clear_unused_caches'
      });
    }

    // CPU optimizations
    if (usage.cpu.percentage > 0.9) {
      optimizations.push({
        type: 'cpu_throttling',
        priority: 'medium',
        action: 'reduce_concurrent_operations'
      });
    }

    // Network optimizations
    if (usage.network.latency > 1000) {
      optimizations.push({
        type: 'network_optimization',
        priority: 'medium',
        action: 'enable_request_batching'
      });
    }

    return optimizations;
  }

  // Dynamic resource allocation
  async allocateResources(operationType, priority = 'normal') {
    const availableResources = await this.assessAvailableResources();
    const requiredResources = this.getResourceRequirements(operationType);

    if (this.canAllocate(availableResources, requiredResources)) {
      return await this.performAllocation(operationType, requiredResources);
    } else {
      // Try to free up resources
      await this.freeUpResources(requiredResources, priority);
      return await this.performAllocation(operationType, requiredResources);
    }
  }

  async freeUpResources(needed, priority) {
    // Identify operations that can be paused or terminated
    const candidates = await this.identifyResourceCandidates(priority);

    let freedResources = { memory: 0, cpu: 0, network: 0 };

    for (const candidate of candidates) {
      if (this.hasEnoughResources(freedResources, needed)) {
        break;
      }

      const freed = await this.terminateOrPauseOperation(candidate);
      freedResources.memory += freed.memory;
      freedResources.cpu += freed.cpu;
      freedResources.network += freed.network;
    }

    return freedResources;
  }

  // Load balancing for multiple AI operations
  class LoadBalancer {
    constructor() {
      this.operationQueue = [];
      this.activeOperations = new Map();
      this.maxConcurrentOperations = 3;
    }

    async balanceLoad(operations) {
      // Sort operations by priority and resource requirements
      const sortedOperations = this.sortOperationsByPriority(operations);

      // Distribute operations across available resources
      const distribution = await this.distributeOperations(sortedOperations);

      return distribution;
    }

    async distributeOperations(operations) {
      const distribution = {
        immediate: [],
        queued: [],
        deferred: []
      };

      let currentLoad = await this.getCurrentLoad();

      for (const operation of operations) {
        const projectedLoad = this.projectLoad(currentLoad, operation);

        if (projectedLoad.acceptable) {
          distribution.immediate.push(operation);
          currentLoad = projectedLoad.newLoad;
        } else if (operation.priority === 'high') {
          distribution.queued.push(operation);
        } else {
          distribution.deferred.push(operation);
        }
      }

      return distribution;
    }
  }
}

Network Optimization

Optimize network usage for AI operations:

// Network optimization for AI workflows
class AINetworkOptimizer {
  constructor() {
    this.connectionPool = new ConnectionPool();
    this.requestBatcher = new RequestBatcher();
    this.compressionManager = new CompressionManager();
  }

  async optimizeNetworkRequests(requests) {
    // Analyze request patterns
    const analysis = await this.analyzeRequestPatterns(requests);

    // Apply optimizations based on analysis
    const optimizedRequests = await this.applyNetworkOptimizations(requests, analysis);

    return optimizedRequests;
  }

  async applyNetworkOptimizations(requests, analysis) {
    let optimizedRequests = [...requests];

    // Batch similar requests
    if (analysis.batchingOpportunities.length > 0) {
      optimizedRequests = await this.requestBatcher.batchRequests(optimizedRequests);
    }

    // Compress large payloads
    if (analysis.compressionOpportunities.length > 0) {
      optimizedRequests = await this.compressionManager.compressRequests(optimizedRequests);
    }

    // Optimize connection usage
    optimizedRequests = await this.connectionPool.optimizeConnections(optimizedRequests);

    return optimizedRequests;
  }

  // Request batching for efficiency
  class RequestBatcher {
    constructor() {
      this.batchWindow = 100; // 100ms batching window
      this.maxBatchSize = 10;
      this.pendingBatches = new Map();
    }

    async batchRequests(requests) {
      const batches = this.groupRequestsForBatching(requests);
      const batchedRequests = [];

      for (const batch of batches) {
        if (batch.length > 1) {
          const batchedRequest = await this.createBatchRequest(batch);
          batchedRequests.push(batchedRequest);
        } else {
          batchedRequests.push(batch[0]);
        }
      }

      return batchedRequests;
    }

    groupRequestsForBatching(requests) {
      const groups = new Map();

      for (const request of requests) {
        const batchKey = this.generateBatchKey(request);

        if (!groups.has(batchKey)) {
          groups.set(batchKey, []);
        }

        groups.get(batchKey).push(request);
      }

      return Array.from(groups.values());
    }

    generateBatchKey(request) {
      // Group requests that can be batched together
      return `${request.endpoint}_${request.method}_${request.model || 'default'}`;
    }

    async createBatchRequest(requests) {
      return {
        type: 'batch',
        endpoint: requests[0].endpoint,
        method: 'POST',
        body: {
          batch: requests.map(r => ({
            id: r.id,
            body: r.body
          }))
        },
        originalRequests: requests
      };
    }
  }

  // Connection pooling and reuse
  class ConnectionPool {
    constructor() {
      this.connections = new Map();
      this.maxConnectionsPerHost = 6;
      this.connectionTimeout = 30000;
    }

    async getConnection(host) {
      if (!this.connections.has(host)) {
        this.connections.set(host, {
          active: 0,
          pool: [],
          lastUsed: Date.now()
        });
      }

      const hostConnections = this.connections.get(host);

      if (hostConnections.pool.length > 0) {
        return hostConnections.pool.pop();
      }

      if (hostConnections.active < this.maxConnectionsPerHost) {
        return await this.createNewConnection(host);
      }

      // Wait for available connection
      return await this.waitForConnection(host);
    }

    async releaseConnection(host, connection) {
      const hostConnections = this.connections.get(host);

      if (hostConnections && connection.reusable) {
        hostConnections.pool.push(connection);
        hostConnections.lastUsed = Date.now();
      } else {
        hostConnections.active--;
      }
    }
  }
}

User Experience Optimization

Optimize for perceived performance and user experience:

// UX-focused AI performance optimizer
class AIUXOptimizer {
  constructor() {
    this.feedbackManager = new FeedbackManager();
    this.progressIndicators = new ProgressIndicatorManager();
    this.interactionOptimizer = new InteractionOptimizer();
  }

  async optimizeUserExperience(operation, userContext) {
    // Provide immediate feedback
    await this.feedbackManager.provideImmediateFeedback(operation);

    // Show appropriate progress indicators
    await this.progressIndicators.showProgress(operation, userContext);

    // Optimize interaction patterns
    await this.interactionOptimizer.optimizeInteraction(operation, userContext);

    return {
      feedbackStrategy: this.feedbackManager.getStrategy(),
      progressStrategy: this.progressIndicators.getStrategy(),
      interactionStrategy: this.interactionOptimizer.getStrategy()
    };
  }

  // Intelligent progress indication
  class ProgressIndicatorManager {
    constructor() {
      this.strategies = new Map();
      this.estimationModels = new Map();
    }

    async showProgress(operation, userContext) {
      const strategy = await this.selectProgressStrategy(operation, userContext);

      switch (strategy.type) {
        case 'determinate':
          return await this.showDeterminateProgress(operation, strategy);

        case 'indeterminate':
          return await this.showIndeterminateProgress(operation, strategy);

        case 'staged':
          return await this.showStagedProgress(operation, strategy);

        case 'adaptive':
          return await this.showAdaptiveProgress(operation, strategy);
      }
    }

    async selectProgressStrategy(operation, userContext) {
      // Analyze operation characteristics
      const canEstimate = await this.canEstimateProgress(operation);
      const hasStages = await this.hasDistinctStages(operation);
      const userPreference = userContext.progressPreference || 'auto';

      if (canEstimate && userPreference !== 'simple') {
        return { type: 'determinate', showPercentage: true };
      } else if (hasStages) {
        return { type: 'staged', showStageNames: true };
      } else if (operation.estimatedDuration > 5000) {
        return { type: 'adaptive', showTimeEstimate: true };
      } else {
        return { type: 'indeterminate', showSpinner: true };
      }
    }

    async showAdaptiveProgress(operation, strategy) {
      let estimatedDuration = operation.estimatedDuration || 5000;
      let startTime = Date.now();

      const updateProgress = () => {
        const elapsed = Date.now() - startTime;
        const progress = Math.min(elapsed / estimatedDuration, 0.95); // Never show 100% until complete

        // Adjust estimate based on actual progress
        if (elapsed > estimatedDuration * 0.8) {
          estimatedDuration = elapsed / 0.8; // Extend estimate
        }

        this.updateProgressUI({
          progress: progress,
          timeRemaining: Math.max(0, estimatedDuration - elapsed),
          message: this.getProgressMessage(progress, operation)
        });
      };

      const progressInterval = setInterval(updateProgress, 500);

      // Clean up when operation completes
      operation.onComplete(() => {
        clearInterval(progressInterval);
        this.showCompletionFeedback();
      });
    }
  }

  // Interaction optimization
  class InteractionOptimizer {
    constructor() {
      this.interactionPatterns = new Map();
      this.responseStrategies = new Map();
    }

    async optimizeInteraction(operation, userContext) {
      // Analyze user interaction patterns
      const patterns = await this.analyzeInteractionPatterns(userContext);

      // Optimize response timing
      const responseStrategy = await this.optimizeResponseTiming(operation, patterns);

      // Implement progressive disclosure
      const disclosureStrategy = await this.implementProgressiveDisclosure(operation, patterns);

      return {
        responseStrategy,
        disclosureStrategy,
        interactionEnhancements: await this.getInteractionEnhancements(patterns)
      };
    }

    async optimizeResponseTiming(operation, patterns) {
      // Provide immediate acknowledgment
      await this.provideImmediateAcknowledgment(operation);

      // Stream partial results if possible
      if (operation.supportsStreaming) {
        await this.enableProgressiveResults(operation);
      }

      // Provide intermediate updates
      await this.scheduleIntermediateUpdates(operation, patterns.attentionSpan);

      return {
        acknowledgmentDelay: 0,
        streamingEnabled: operation.supportsStreaming,
        updateInterval: this.calculateOptimalUpdateInterval(patterns)
      };
    }
  }
}

This comprehensive performance optimization framework ensures that AI workflows in browser environments deliver the best possible user experience while efficiently managing system resources.