Agent V3 Performance Engineer

class StartupBenchmarks {  async benchmarkColdStart(): Promise<BenchmarkResult> {    const startTime = performance.now();
    // Measure CLI initialization    await this.initializeCLI();    const cliTime = performance.now() - startTime;
    // Measure MCP server startup    const mcpStart = performance.now();    await this.initializeMCPServer();    const mcpTime = performance.now() - mcpStart;
    // Measure agent spawn latency    const spawnStart = performance.now();    await this.spawnTestAgent();    const spawnTime = performance.now() - spawnStart;
    return {      total: performance.now() - startTime,      cli: cliTime,      mcp: mcpTime,      agentSpawn: spawnTime,      target: 500 // ms    };  }}

class MemoryBenchmarks {  async benchmarkVectorSearch(): Promise<SearchBenchmark> {    const testQueries = this.generateTestQueries(10000);
    // Baseline: Current linear search    const baselineStart = performance.now();    for (const query of testQueries) {      await this.currentMemory.search(query);    }    const baselineTime = performance.now() - baselineStart;
    // Target: HNSW search    const hnswStart = performance.now();    for (const query of testQueries) {      await this.agentDBMemory.hnswSearch(query);    }    const hnswTime = performance.now() - hnswStart;
    const improvement = baselineTime / hnswTime;
    return {      baseline: baselineTime,      hnsw: hnswTime,      improvement,      targetRange: [150, 12500],      achieved: improvement >= 150    };  }
  async benchmarkMemoryUsage(): Promise<MemoryBenchmark> {    const baseline = process.memoryUsage();
    // Load test data    await this.loadTestDataset();    const withData = process.memoryUsage();
    // Test compression    await this.enableMemoryOptimization();    const optimized = process.memoryUsage();
    const reduction = (withData.heapUsed - optimized.heapUsed) / withData.heapUsed;
    return {      baseline: baseline.heapUsed,      withData: withData.heapUsed,      optimized: optimized.heapUsed,      reductionPercent: reduction * 100,      targetReduction: [50, 75],      achieved: reduction >= 0.5    };  }}

class SwarmBenchmarks {  async benchmark15AgentCoordination(): Promise<SwarmBenchmark> {    // Initialize 15-agent swarm    const agents = await this.spawn15Agents();
    // Measure coordination latency    const coordinationStart = performance.now();    await this.coordinateSwarmTask(agents);    const coordinationTime = performance.now() - coordinationStart;
    // Measure task decomposition    const decompositionStart = performance.now();    const tasks = await this.decomposeComplexTask();    const decompositionTime = performance.now() - decompositionStart;
    // Measure consensus achievement    const consensusStart = performance.now();    await this.achieveSwarmConsensus(agents);    const consensusTime = performance.now() - consensusStart;
    return {      coordination: coordinationTime,      decomposition: decompositionTime,      consensus: consensusTime,      agents: agents.length,      efficiency: this.calculateSwarmEfficiency(agents)    };  }}

class AttentionBenchmarks {  async benchmarkFlashAttention(): Promise<AttentionBenchmark> {    const testSequences = this.generateTestSequences([512, 1024, 2048, 4096]);    const results = [];
    for (const sequence of testSequences) {      // Baseline attention      const baselineStart = performance.now();      const baselineMemory = process.memoryUsage();      await this.standardAttention(sequence);      const baselineTime = performance.now() - baselineStart;      const baselineMemoryPeak = process.memoryUsage().heapUsed - baselineMemory.heapUsed;
      // Flash attention      const flashStart = performance.now();      const flashMemory = process.memoryUsage();      await this.flashAttention(sequence);      const flashTime = performance.now() - flashStart;      const flashMemoryPeak = process.memoryUsage().heapUsed - flashMemory.heapUsed;
      results.push({        sequenceLength: sequence.length,        speedup: baselineTime / flashTime,        memoryReduction: (baselineMemoryPeak - flashMemoryPeak) / baselineMemoryPeak,        targetSpeedup: [2.49, 7.47],        targetMemoryReduction: [0.5, 0.75]      });    }
    return {      results,      averageSpeedup: results.reduce((sum, r) => sum + r.speedup, 0) / results.length,      averageMemoryReduction: results.reduce((sum, r) => sum + r.memoryReduction, 0) / results.length    };  }}

class SONABenchmarks {  async benchmarkAdaptationTime(): Promise<SONABenchmark> {    const adaptationScenarios = [      'pattern_recognition',      'task_optimization',      'error_correction',      'performance_tuning',      'behavior_adaptation'    ];
    const results = [];
    for (const scenario of adaptationScenarios) {      const adaptationStart = performance.hrtime.bigint();      await this.sona.adapt(scenario);      const adaptationEnd = performance.hrtime.bigint();
      const adaptationTimeMs = Number(adaptationEnd - adaptationStart) / 1000000;
      results.push({        scenario,        adaptationTime: adaptationTimeMs,        target: 0.05, // ms        achieved: adaptationTimeMs <= 0.05      });    }
    return {      scenarios: results,      averageAdaptation: results.reduce((sum, r) => sum + r.adaptationTime, 0) / results.length,      successRate: results.filter(r => r.achieved).length / results.length    };  }}

class PerformanceMonitor {  private metrics = {    flashAttentionSpeedup: new MetricCollector('flash_attention_speedup'),    searchImprovement: new MetricCollector('search_improvement'),    memoryReduction: new MetricCollector('memory_reduction'),    startupTime: new MetricCollector('startup_time'),    sonaAdaptation: new MetricCollector('sona_adaptation')  };
  async collectMetrics(): Promise<PerformanceSnapshot> {    return {      timestamp: Date.now(),      flashAttention: await this.metrics.flashAttentionSpeedup.current(),      searchPerformance: await this.metrics.searchImprovement.current(),      memoryUsage: await this.metrics.memoryReduction.current(),      startup: await this.metrics.startupTime.current(),      sona: await this.metrics.sonaAdaptation.current(),      targets: this.getTargetMetrics()    };  }
  async generateReport(): Promise<PerformanceReport> {    const snapshot = await this.collectMetrics();
    return {      summary: this.generateSummary(snapshot),      achievements: this.checkAchievements(snapshot),      recommendations: this.generateRecommendations(snapshot),      trends: this.analyzeTrends(),      nextActions: this.suggestOptimizations()    };  }}

class PerformanceRegression {  async detectRegressions(): Promise<RegressionReport> {    const current = await this.runFullBenchmarkSuite();    const baseline = await this.getBaselineMetrics();
    const regressions = [];
    // Check each performance metric    for (const [metric, currentValue] of Object.entries(current)) {      const baselineValue = baseline[metric];      const change = (currentValue - baselineValue) / baselineValue;
      if (change < -0.05) { // 5% regression threshold        regressions.push({          metric,          baseline: baselineValue,          current: currentValue,          regressionPercent: change * 100        });      }    }
    return {      hasRegressions: regressions.length > 0,      regressions,      recommendations: this.generateRegressionFixes(regressions)    };  }}