@clduab11/gemini-flow
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Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.
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JavaScript
/**
* Google Services Performance Benchmarking Framework
*
* Comprehensive performance testing and optimization framework for all Google Services
* including Streaming API, AgentSpace, Mariner, Veo3, Co-Scientist, Imagen4, Chirp, and Lyria
*/
class GoogleServicesPerformanceBenchmarker {
constructor(config = {}) {
this.services = new Map();
this.benchmarkResults = new Map();
this.loadTestScenarios = new Map();
this.optimizationRecommendations = new Map();
this.realTimeMetrics = new MetricsCollector();
this.alertSystem = new PerformanceAlertSystem();
// Initialize service baseline configurations
this.initializeServiceBaselines();
}
/**
* Initialize performance baselines for all Google Services
*/
initializeServiceBaselines() {
// Service-specific performance baselines with strict SLA requirements
const serviceBaselines = {
"streaming-api": {
name: "Streaming API",
baselines: {
textLatency: { target: 100, unit: "ms", tolerance: 15 }, // <100ms text
multimediaLatency: { target: 500, unit: "ms", tolerance: 50 }, // <500ms multimedia
throughput: {
target: 10000,
unit: "requests/second",
tolerance: 500,
},
errorRate: { target: 0.1, unit: "percentage", tolerance: 0.05 },
availability: { target: 99.99, unit: "percentage", tolerance: 0.01 },
},
endpoints: [
"/api/v1/stream/text",
"/api/v1/stream/multimedia",
"/api/v1/stream/realtime",
],
},
agentspace: {
name: "AgentSpace",
baselines: {
coordinationOverhead: { target: 50, unit: "ms", tolerance: 10 }, // <50ms agent coordination
agentSpawnTime: { target: 200, unit: "ms", tolerance: 25 },
messageLatency: { target: 25, unit: "ms", tolerance: 5 },
concurrentAgents: { target: 1000, unit: "agents", tolerance: 100 },
memoryUsage: { target: 512, unit: "MB", tolerance: 64 },
},
endpoints: [
"/api/v1/agents/spawn",
"/api/v1/agents/coordinate",
"/api/v1/agents/communicate",
],
},
mariner: {
name: "Mariner",
baselines: {
automationCycle: { target: 2000, unit: "ms", tolerance: 200 }, // <2s page automation
pageLoadTime: { target: 1500, unit: "ms", tolerance: 150 },
elementDetection: { target: 100, unit: "ms", tolerance: 20 },
actionExecution: { target: 300, unit: "ms", tolerance: 50 },
screenshotCapture: { target: 500, unit: "ms", tolerance: 75 },
},
endpoints: [
"/api/v1/mariner/navigate",
"/api/v1/mariner/interact",
"/api/v1/mariner/extract",
],
},
veo3: {
name: "Veo3 Video Generation",
baselines: {
videoGeneration: {
target: 30000,
unit: "ms/minute",
tolerance: 3000,
}, // <30s/minute
renderQuality: { target: 95, unit: "percentage", tolerance: 2 },
resourceUtilization: { target: 80, unit: "percentage", tolerance: 5 },
queueTime: { target: 5000, unit: "ms", tolerance: 500 },
uploadSpeed: { target: 100, unit: "MB/s", tolerance: 10 },
},
endpoints: [
"/api/v1/veo3/generate",
"/api/v1/veo3/render",
"/api/v1/veo3/status",
],
},
"co-scientist": {
name: "Co-Scientist",
baselines: {
hypothesisValidation: { target: 5000, unit: "ms", tolerance: 500 }, // <5s validation
dataAnalysis: { target: 3000, unit: "ms", tolerance: 300 },
modelInference: { target: 1000, unit: "ms", tolerance: 100 },
resultGeneration: { target: 2000, unit: "ms", tolerance: 200 },
accuracyScore: { target: 92, unit: "percentage", tolerance: 2 },
},
endpoints: [
"/api/v1/co-scientist/validate",
"/api/v1/co-scientist/analyze",
"/api/v1/co-scientist/predict",
],
},
imagen4: {
name: "Imagen4",
baselines: {
imageGeneration: { target: 3000, unit: "ms", tolerance: 300 }, // <3s generation
imageQuality: { target: 98, unit: "percentage", tolerance: 1 },
resolutionSupport: { target: 4096, unit: "pixels", tolerance: 0 },
batchProcessing: { target: 10, unit: "images/batch", tolerance: 2 },
storageEfficiency: { target: 75, unit: "percentage", tolerance: 5 },
},
endpoints: [
"/api/v1/imagen4/generate",
"/api/v1/imagen4/enhance",
"/api/v1/imagen4/batch",
],
},
chirp: {
name: "Chirp Audio",
baselines: {
audioGeneration: { target: 1000, unit: "ms", tolerance: 100 }, // <1s generation
audioQuality: { target: 96, unit: "percentage", tolerance: 2 },
voiceSimilarity: { target: 90, unit: "percentage", tolerance: 3 },
languageSupport: { target: 100, unit: "languages", tolerance: 0 },
compressionRatio: { target: 80, unit: "percentage", tolerance: 5 },
},
endpoints: [
"/api/v1/chirp/synthesize",
"/api/v1/chirp/clone",
"/api/v1/chirp/enhance",
],
},
lyria: {
name: "Lyria Music",
baselines: {
musicComposition: { target: 5000, unit: "ms", tolerance: 500 }, // <5s composition
melodyComplexity: { target: 85, unit: "percentage", tolerance: 5 },
harmonyAccuracy: { target: 92, unit: "percentage", tolerance: 3 },
genreAdaptation: { target: 50, unit: "genres", tolerance: 0 },
audioFidelity: { target: 95, unit: "percentage", tolerance: 2 },
},
endpoints: [
"/api/v1/lyria/compose",
"/api/v1/lyria/arrange",
"/api/v1/lyria/mix",
],
},
};
// Store service configurations
for (const [serviceId, config] of Object.entries(serviceBaselines)) {
this.services.set(serviceId, config);
}
}
/**
* Run comprehensive benchmarks across all services
*/
async runComprehensiveBenchmarks(options = {}) {
console.log(
"🚀 Starting comprehensive Google Services performance benchmarks...",
);
const benchmarkResults = new Map();
const startTime = Date.now();
try {
// Initialize monitoring
await this.realTimeMetrics.startCollection();
// Run benchmarks for each service in parallel
const benchmarkPromises = Array.from(this.services.keys()).map(
async (serviceId) => {
const serviceConfig = this.services.get(serviceId);
console.log(`📊 Benchmarking ${serviceConfig.name}...`);
const serviceBenchmarks = await this.benchmarkService(
serviceId,
options,
);
benchmarkResults.set(serviceId, serviceBenchmarks);
return { serviceId, results: serviceBenchmarks };
},
);
// Wait for all benchmarks to complete
const allResults = await Promise.allSettled(benchmarkPromises);
// Generate comprehensive report
const report = await this.generateComprehensiveReport(benchmarkResults);
// Generate optimization recommendations
const optimizations =
await this.generateOptimizationRecommendations(benchmarkResults);
const totalDuration = Date.now() - startTime;
return {
summary: {
duration: totalDuration,
servicesTest: this.services.size,
totalTests: allResults.length,
successRate:
(allResults.filter((r) => r.status === "fulfilled").length /
allResults.length) *
100,
},
results: benchmarkResults,
report: report,
optimizations: optimizations,
timestamp: new Date().toISOString(),
};
} finally {
await this.realTimeMetrics.stopCollection();
}
}
/**
* Benchmark individual service with all test scenarios
*/
async benchmarkService(serviceId, options = {}) {
const serviceConfig = this.services.get(serviceId);
const serviceBenchmarks = {
service: serviceConfig.name,
baselines: serviceConfig.baselines,
testResults: new Map(),
};
// Load testing scenarios
const scenarios = [
{ name: "baseline", users: 100, duration: "5m" },
{ name: "load_1k", users: 1000, duration: "10m" },
{ name: "load_10k", users: 10000, duration: "15m" },
{ name: "spike_test", users: 50000, duration: "2m", pattern: "spike" },
{ name: "soak_test", users: 500, duration: "24h", pattern: "sustained" },
];
// Run each scenario
for (const scenario of scenarios) {
if (options.scenarios && !options.scenarios.includes(scenario.name)) {
continue; // Skip if specific scenarios requested
}
console.log(
` 🔍 Running ${scenario.name} scenario for ${serviceConfig.name}...`,
);
try {
const scenarioResults = await this.runLoadTestScenario(
serviceId,
scenario,
);
serviceBenchmarks.testResults.set(scenario.name, scenarioResults);
// Real-time baseline validation
const baselineViolations = this.validateBaselines(
serviceConfig.baselines,
scenarioResults,
);
if (baselineViolations.length > 0) {
console.warn(
`⚠️ Baseline violations detected in ${scenario.name}:`,
baselineViolations,
);
}
} catch (error) {
console.error(
`❌ Failed ${scenario.name} for ${serviceConfig.name}:`,
error.message,
);
serviceBenchmarks.testResults.set(scenario.name, {
error: error.message,
});
}
}
return serviceBenchmarks;
}
/**
* Run individual load test scenario
*/
async runLoadTestScenario(serviceId, scenario) {
const serviceConfig = this.services.get(serviceId);
const loadTestConfig = {
service: serviceId,
endpoints: serviceConfig.endpoints,
scenario: scenario,
metrics: [],
};
const startTime = Date.now();
const testMetrics = new Map();
// Simulate load testing (in production, this would interface with JMeter/Gatling)
const testDuration = this.parseDuration(scenario.duration);
const requestsPerSecond = Math.floor(scenario.users / 10); // Simulate RPS based on users
// Collect metrics during test
const metricsInterval = setInterval(async () => {
const metrics = await this.collectServiceMetrics(serviceId, scenario);
testMetrics.set(Date.now(), metrics);
}, 5000); // Collect every 5 seconds
// Simulate test execution
await new Promise((resolve) =>
setTimeout(resolve, Math.min(testDuration, 30000)),
); // Cap at 30s for demo
clearInterval(metricsInterval);
// Calculate final results
const endTime = Date.now();
const duration = endTime - startTime;
return {
scenario: scenario.name,
duration: duration,
metrics: this.analyzeTestMetrics(Array.from(testMetrics.values())),
summary: {
totalRequests: Math.floor((requestsPerSecond * duration) / 1000),
averageResponseTime: this.calculateAverageResponseTime(testMetrics),
throughput: requestsPerSecond,
errorRate: this.calculateErrorRate(testMetrics),
peakMemoryUsage: this.calculatePeakMemoryUsage(testMetrics),
},
};
}
/**
* Collect real-time service metrics
*/
async collectServiceMetrics(serviceId, scenario) {
const serviceConfig = this.services.get(serviceId);
// Simulate metric collection (would integrate with actual monitoring systems)
const baseMetrics = serviceConfig.baselines;
const loadFactor = this.calculateLoadFactor(scenario);
return {
timestamp: Date.now(),
responseTime: this.simulateResponseTime(baseMetrics, loadFactor),
throughput: this.simulateThroughput(baseMetrics, loadFactor),
errorRate: this.simulateErrorRate(loadFactor),
memoryUsage: this.simulateMemoryUsage(baseMetrics, loadFactor),
cpuUtilization: this.simulateCPUUtilization(loadFactor),
};
}
/**
* Generate optimization recommendations based on benchmark results
*/
async generateOptimizationRecommendations(benchmarkResults) {
const recommendations = new Map();
for (const [serviceId, serviceResults] of benchmarkResults) {
const serviceRecommendations = [];
const serviceConfig = this.services.get(serviceId);
// Analyze performance bottlenecks
const bottlenecks = this.identifyBottlenecks(serviceResults);
// Generate service-specific recommendations
for (const bottleneck of bottlenecks) {
switch (bottleneck.type) {
case "HIGH_LATENCY":
serviceRecommendations.push({
category: "Caching",
priority: "HIGH",
title: `Implement Redis caching for ${serviceConfig.name}`,
description: `Deploy Redis cluster with 95% hit rate target to reduce ${bottleneck.metric} latency`,
implementation: {
cacheStrategy: "write-through",
ttl: this.calculateOptimalTTL(serviceId),
hitRateTarget: 0.95,
estimatedImprovement: "40-60% latency reduction",
},
});
break;
case "LOW_THROUGHPUT":
serviceRecommendations.push({
category: "Scaling",
priority: "HIGH",
title: `Horizontal scaling for ${serviceConfig.name}`,
description:
"Deploy additional instances with load balancer optimization",
implementation: {
scalingStrategy: "horizontal",
targetInstances: this.calculateOptimalInstances(
serviceId,
bottleneck,
),
loadBalancer: "round-robin with health checks",
estimatedImprovement: "200-300% throughput increase",
},
});
break;
case "HIGH_MEMORY_USAGE":
serviceRecommendations.push({
category: "Resource Optimization",
priority: "MEDIUM",
title: `Memory optimization for ${serviceConfig.name}`,
description:
"Implement connection pooling and memory leak detection",
implementation: {
connectionPoolSize: this.calculateOptimalPoolSize(serviceId),
memoryMonitoring: "real-time leak detection",
garbageCollection: "optimized GC parameters",
estimatedImprovement: "30-40% memory usage reduction",
},
});
break;
}
}
// CDN Configuration recommendations
serviceRecommendations.push({
category: "CDN Optimization",
priority: "HIGH",
title: `Global CDN configuration for ${serviceConfig.name}`,
description: "Deploy multi-region CDN with edge caching",
implementation: {
regions: ["us-east-1", "us-west-2", "eu-west-1", "ap-southeast-1"],
cachingRules: this.generateCDNCachingRules(serviceId),
compressionSettings: {
gzip: true,
brotli: true,
minFileSize: "1KB",
},
estimatedImprovement: "50-70% global latency reduction",
},
});
recommendations.set(serviceId, serviceRecommendations);
}
return recommendations;
}
/**
* Identify performance bottlenecks from test results
*/
identifyBottlenecks(serviceResults) {
const bottlenecks = [];
const baselines = serviceResults.baselines;
for (const [scenarioName, testResult] of serviceResults.testResults) {
if (testResult.error) continue;
const metrics = testResult.summary;
// Check response time against baselines
if (this.isLatencyViolation(metrics.averageResponseTime, baselines)) {
bottlenecks.push({
type: "HIGH_LATENCY",
scenario: scenarioName,
metric: "averageResponseTime",
actual: metrics.averageResponseTime,
threshold: this.getLatencyThreshold(baselines),
severity: "HIGH",
});
}
// Check throughput against baselines
if (this.isThroughputViolation(metrics.throughput, baselines)) {
bottlenecks.push({
type: "LOW_THROUGHPUT",
scenario: scenarioName,
metric: "throughput",
actual: metrics.throughput,
threshold: this.getThroughputThreshold(baselines),
severity: "HIGH",
});
}
// Check memory usage
if (this.isMemoryViolation(metrics.peakMemoryUsage, baselines)) {
bottlenecks.push({
type: "HIGH_MEMORY_USAGE",
scenario: scenarioName,
metric: "peakMemoryUsage",
actual: metrics.peakMemoryUsage,
threshold: this.getMemoryThreshold(baselines),
severity: "MEDIUM",
});
}
}
return bottlenecks;
}
// Helper methods for calculations and simulations
parseDuration(duration) {
const units = { s: 1000, m: 60000, h: 3600000 };
const match = duration.match(/(\d+)([smh])/);
return match ? parseInt(match[1]) * units[match[2]] : 60000; // Default 1 minute
}
calculateLoadFactor(scenario) {
const baseLoad = 100; // Base user count
return Math.min(scenario.users / baseLoad, 10); // Cap at 10x load factor
}
simulateResponseTime(baselines, loadFactor) {
// Simulate response time degradation under load
const baseTime = Object.values(baselines)[0]?.target || 100;
return baseTime * (1 + (loadFactor - 1) * 0.3); // 30% degradation per load factor
}
simulateThroughput(baselines, loadFactor) {
// Simulate throughput scaling with diminishing returns
const baseThroughput = baselines.throughput?.target || 1000;
return baseThroughput * Math.log(loadFactor + 1) * 2;
}
simulateErrorRate(loadFactor) {
// Simulate error rate increase under high load
return Math.min(0.1 * Math.pow(loadFactor, 1.5), 5.0); // Cap at 5% error rate
}
simulateMemoryUsage(baselines, loadFactor) {
const baseMemory = baselines.memoryUsage?.target || 256;
return baseMemory * (1 + loadFactor * 0.5); // Linear memory growth
}
simulateCPUUtilization(loadFactor) {
return Math.min(20 + loadFactor * 15, 95); // 20% base + 15% per load factor, cap at 95%
}
calculateOptimalTTL(serviceId) {
// Service-specific TTL recommendations
const ttlMap = {
"streaming-api": "5m",
agentspace: "1m",
mariner: "10m",
veo3: "1h",
"co-scientist": "15m",
imagen4: "30m",
chirp: "20m",
lyria: "45m",
};
return ttlMap[serviceId] || "10m";
}
calculateOptimalInstances(serviceId, bottleneck) {
// Calculate recommended instance count based on bottleneck severity
const baseInstances = 3;
const multiplier = bottleneck.severity === "HIGH" ? 3 : 2;
return baseInstances * multiplier;
}
calculateOptimalPoolSize(serviceId) {
// Service-specific connection pool sizes
const poolSizes = {
"streaming-api": 100,
agentspace: 50,
mariner: 25,
veo3: 20,
"co-scientist": 30,
imagen4: 40,
chirp: 60,
lyria: 35,
};
return poolSizes[serviceId] || 50;
}
generateCDNCachingRules(serviceId) {
// Generate CDN caching rules based on service characteristics
return {
staticAssets: {
pattern: "\\.(js|css|png|jpg|jpeg|gif|svg|woff|woff2)$",
ttl: "1y",
compression: true,
},
apiResponses: {
pattern: "/api/v1/" + serviceId.replace("-", "") + "/.*",
ttl: this.calculateOptimalTTL(serviceId),
compression: true,
varyHeaders: ["Accept-Encoding", "User-Agent"],
},
dynamicContent: {
pattern: ".*",
ttl: "5m",
compression: true,
bypassCache: ["Set-Cookie", "Authorization"],
},
};
}
}
/**
* Performance Metrics Collector
*/
class MetricsCollector {
constructor() {
this.isCollecting = false;
this.metrics = [];
this.collectors = new Map();
}
async startCollection() {
this.isCollecting = true;
console.log("📊 Starting metrics collection...");
// Start various metric collectors
this.collectors.set(
"system",
setInterval(() => {
this.collectSystemMetrics();
}, 1000),
);
this.collectors.set(
"network",
setInterval(() => {
this.collectNetworkMetrics();
}, 5000),
);
}
async stopCollection() {
this.isCollecting = false;
// Stop all collectors
for (const [name, interval] of this.collectors) {
clearInterval(interval);
}
this.collectors.clear();
console.log("🛑 Stopped metrics collection");
}
collectSystemMetrics() {
if (!this.isCollecting) return;
// Simulate system metrics collection
this.metrics.push({
timestamp: Date.now(),
type: "system",
cpu: Math.random() * 100,
memory: Math.random() * 8192, // MB
disk: Math.random() * 1000, // MB/s
});
}
collectNetworkMetrics() {
if (!this.isCollecting) return;
// Simulate network metrics collection
this.metrics.push({
timestamp: Date.now(),
type: "network",
bandwidth: Math.random() * 1000, // Mbps
latency: Math.random() * 50, // ms
packetLoss: Math.random() * 0.1, // percentage
});
}
}
/**
* Performance Alert System
*/
class PerformanceAlertSystem {
constructor() {
this.alerts = [];
this.thresholds = new Map();
this.isActive = false;
}
setThreshold(metric, threshold) {
this.thresholds.set(metric, threshold);
}
checkMetrics(metrics) {
if (!this.isActive) return;
for (const [metric, threshold] of this.thresholds) {
if (metrics[metric] && metrics[metric] > threshold) {
this.triggerAlert({
type: "THRESHOLD_EXCEEDED",
metric: metric,
value: metrics[metric],
threshold: threshold,
timestamp: Date.now(),
});
}
}
}
triggerAlert(alert) {
this.alerts.push(alert);
console.warn(
`🚨 Performance Alert: ${alert.type} - ${alert.metric} (${alert.value}) exceeded threshold (${alert.threshold})`,
);
}
}
module.exports = {
GoogleServicesPerformanceBenchmarker,
MetricsCollector,
PerformanceAlertSystem,
};