From 45f72f5a3307a9735ce8661d25c00a55c96664c2 Mon Sep 17 00:00:00 2001 From: harshalmore31 Date: Tue, 5 Aug 2025 03:27:35 +0530 Subject: [PATCH] fixed docs ! --- docs/swarms_cloud/cloudflare_workers.md | 935 ++++++++++++++++++++---- 1 file changed, 781 insertions(+), 154 deletions(-) diff --git a/docs/swarms_cloud/cloudflare_workers.md b/docs/swarms_cloud/cloudflare_workers.md index ad73cce0..a28171fc 100644 --- a/docs/swarms_cloud/cloudflare_workers.md +++ b/docs/swarms_cloud/cloudflare_workers.md @@ -1,44 +1,59 @@ -# Cloudflare Workers with Swarms: Production AI Agents +# Deploy Autonomous Cron Agents with Swarms API on Cloudflare Workers -Deploy AI agents on Cloudflare's edge network with automatic cron scheduling and real-time data integration. This guide shows a production-ready implementation with both HTTP endpoints and scheduled triggers. +Deploy intelligent, self-executing AI agents powered by Swarms API on Cloudflare's global edge network. Build production-ready autonomous agents that run on automated schedules, fetch real-time data, perform sophisticated analysis using Swarms AI, and take automated actions across 330+ cities worldwide. -## Architecture Overview +## What Are Autonomous Cron Agents? -The Cloudflare Workers pattern uses two main handlers: -- **`fetch()`**: HTTP requests for testing and manual triggers -- **`scheduled()`**: Cron jobs for automated execution +Autonomous cron agents combine **Swarms API intelligence** with **Cloudflare Workers edge computing** to create AI-powered systems that: +- **Execute automatically** on predefined schedules without human intervention +- **Fetch real-time data** from external sources (APIs, databases, IoT sensors) +- **Perform intelligent analysis** using specialized Swarms AI agents +- **Take automated actions** based on analysis findings (alerts, reports, decisions) +- **Scale globally** on Cloudflare's edge network with sub-100ms response times worldwide -```javascript -export default { - // HTTP handler for manual testing - async fetch(request, env, ctx) { - // Handle web interface and API endpoints - }, - - // Cron handler for scheduled execution - async scheduled(event, env, ctx) { - ctx.waitUntil(handleStockAnalysis(event, env)); - } -}; +## Architecture Overview + +``` +┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ +│ Cloudflare │ │ Data Sources │ │ Swarms API │ +│ Workers Cron │ │ │ │ │ +│ "0 */3 * * *" │───▶│ Yahoo Finance │───▶│ Multi-Agent │ +│ │ │ Medical APIs │ │ Intelligence │ +│ scheduled() │ │ News Feeds │ │ Autonomous │ +│ Global Edge │ │ IoT Sensors │ │ Actions │ +└─────────────────┘ └─────────────────┘ └─────────────────┘ ``` -## Quick Setup +**Key Benefits:** +- **24/7 Autonomous Operation**: Zero human intervention required +- **Global Edge Deployment**: Cloudflare's 330+ city network for ultra-low latency +- **Swarms AI Intelligence**: Live data analysis with specialized AI agents +- **Automated Decision Making**: Smart actions based on Swarms agent insights +- **Enterprise Reliability**: Production-grade error handling and monitoring -### 1. Create Worker Project +## Quick Start: Deploy Autonomous Stock Analysis Agent + +Create your first autonomous financial intelligence agent powered by Swarms API and deployed on Cloudflare Workers edge network. + +### 1. Cloudflare Workers Project Setup ```bash -npm create cloudflare@latest stock-agent -cd stock-agent +# Create new Cloudflare Workers project +npm create cloudflare@latest autonomous-stock-agent +cd autonomous-stock-agent + +# Install dependencies for Swarms API integration +npm run start ``` -### 2. Configure Cron Schedule +### 2. Configure Cloudflare Workers Cron Schedule -Edit `wrangler.jsonc`: +Edit `wrangler.jsonc` to set up autonomous execution: ```jsonc { "$schema": "node_modules/wrangler/config-schema.json", - "name": "stock-agent", + "name": "autonomous-stock-agent", "main": "src/index.js", "compatibility_date": "2025-08-03", "observability": { @@ -46,58 +61,116 @@ Edit `wrangler.jsonc`: }, "triggers": { "crons": [ - "0 */3 * * *" // Every 3 hours + "0 */3 * * *" // Cloudflare Workers cron: autonomous analysis every 3 hours ] }, "vars": { - "SWARMS_API_KEY": "your-api-key" + "SWARMS_API_KEY": "your-swarms-api-key" // Your Swarms API key } } ``` -## Complete Minimal Implementation +### 3. Cloudflare Workers + Swarms API Implementation Create `src/index.js`: ```javascript export default { - // HTTP handler - provides web interface and manual triggers + // Cloudflare Workers fetch handler - Web interface for monitoring async fetch(request, env, ctx) { const url = new URL(request.url); - // Web interface for testing if (url.pathname === '/') { return new Response(` - Stock Analysis Agent + Autonomous Stock Intelligence Agent -

📈 Stock Analysis Agent

-
Status: Online ✅
- - -
+
+
+

🤖 Autonomous Stock Intelligence Agent

+

Powered by Swarms API • Running on Cloudflare Workers

+
+ Swarms AI + Cloudflare Edge + Real-time + Autonomous +
+
+ +
+ 🚀 Status: Swarms AI agents active on Cloudflare edge, monitoring markets 24/7 +
+ +
+ +
+ +
+ +

Swarms AI agents analyzing live market data on Cloudflare edge...

+
+ +
+
@@ -108,12 +181,11 @@ export default { }); } - // Manual trigger endpoint - if (url.pathname === '/trigger') { + if (url.pathname === '/execute') { try { - const result = await handleStockAnalysis(null, env); + const result = await executeAutonomousAnalysis(null, env); return new Response(JSON.stringify({ - message: 'Analysis triggered', + message: 'Autonomous analysis executed successfully', timestamp: new Date().toISOString(), result }), { @@ -121,7 +193,9 @@ export default { }); } catch (error) { return new Response(JSON.stringify({ - error: error.message + error: error.message, + timestamp: new Date().toISOString(), + system: 'autonomous-agent' }), { status: 500, headers: { 'Content-Type': 'application/json' } @@ -129,207 +203,760 @@ export default { } } - return new Response('Not Found', { status: 404 }); + return new Response('Autonomous Agent Endpoint Not Found', { status: 404 }); }, - // Cron handler - runs automatically on schedule + // Cloudflare Workers cron handler - triggered by scheduled events async scheduled(event, env, ctx) { - ctx.waitUntil(handleStockAnalysis(event, env)); + console.log('🚀 Cloudflare Workers cron triggered - executing Swarms AI analysis'); + ctx.waitUntil(executeAutonomousAnalysis(event, env)); } }; -// Main analysis function used by both HTTP and cron triggers -async function handleStockAnalysis(event, env) { - console.log('🚀 Starting stock analysis...'); +// Core function combining Cloudflare Workers execution with Swarms API intelligence +async function executeAutonomousAnalysis(event, env) { + console.log('🤖 Cloudflare Workers executing Swarms AI stock intelligence analysis...'); try { - // Step 1: Fetch real market data (using Yahoo Finance - no API key needed) - const marketData = await fetchMarketData(); + // Step 1: Autonomous data collection from multiple sources + console.log('📊 Executing autonomous data collection...'); + const marketIntelligence = await collectMarketIntelligence(); - // Check if we got valid data - const validSymbols = Object.keys(marketData).filter(symbol => !marketData[symbol].error); - if (validSymbols.length === 0) { - throw new Error('No valid market data retrieved'); + const validData = Object.keys(marketIntelligence).filter(symbol => !marketIntelligence[symbol].error); + if (validData.length === 0) { + throw new Error('Autonomous data collection failed - no valid market intelligence gathered'); } - // Step 2: Send to Swarms AI agents - const swarmConfig = { - name: "Stock Analysis", - description: "Real-time market analysis", + console.log(\`✅ Autonomous data collection successful: \${validData.length} sources\`); + + // Step 2: Deploy Swarms AI agents for autonomous analysis + console.log('🧠 Deploying Swarms AI agents for autonomous intelligence generation...'); + const swarmConfiguration = { + name: "Autonomous Market Intelligence Swarm", + description: "Self-executing financial analysis and decision support system", agents: [ { - agent_name: "Technical Analyst", - system_prompt: \`Analyze the provided stock data: - - Identify trends and key levels - - Provide trading signals - - Calculate technical indicators - Format analysis professionally.\`, + agent_name: "Autonomous Technical Intelligence Agent", + system_prompt: \`You are an autonomous technical analysis AI agent operating 24/7. Provide: + - Real-time trend identification and momentum analysis + - Dynamic support/resistance level calculations + - Technical indicator signals (RSI, MACD, moving averages) + - Autonomous price targets and risk assessments + - Self-executing trading signal recommendations + + Format your analysis as a professional autonomous intelligence briefing for automated systems.\`, model_name: "gpt-4o-mini", - max_tokens: 1500, + max_tokens: 2500, temperature: 0.2 + }, + { + agent_name: "Autonomous Market Sentiment Agent", + system_prompt: \`You are an autonomous market sentiment analysis AI agent. Continuously evaluate: + - Real-time market psychology and investor behavior patterns + - Volume analysis and institutional activity detection + - Risk-on vs risk-off sentiment shifts + - Autonomous sector rotation and leadership identification + - Self-executing market timing recommendations + + Provide actionable intelligence for autonomous decision-making systems.\`, + model_name: "gpt-4o-mini", + max_tokens: 2500, + temperature: 0.3 } ], - swarm_type: "SequentialWorkflow", - task: \`Analyze this market data: \\${JSON.stringify(marketData, null, 2)}\`, + swarm_type: "ConcurrentWorkflow", + task: \`Execute autonomous analysis of real-time market intelligence: + + LIVE MARKET INTELLIGENCE: + \${JSON.stringify(marketIntelligence, null, 2)} + + Generate comprehensive autonomous intelligence report including: + 1. Technical analysis with specific autonomous entry/exit recommendations + 2. Market sentiment assessment with timing signals for automated systems + 3. Risk management protocols for autonomous execution + 4. Self-executing action recommendations + 5. Key monitoring parameters for next autonomous cycle + + Focus on actionable intelligence for autonomous trading systems and automated decision making.\`, max_loops: 1 }; + // Execute Swarms API call from Cloudflare Workers edge const response = await fetch('https://api.swarms.world/v1/swarm/completions', { method: 'POST', headers: { 'x-api-key': env.SWARMS_API_KEY, 'Content-Type': 'application/json' }, - body: JSON.stringify(swarmConfig) + body: JSON.stringify(swarmConfiguration) }); if (!response.ok) { - throw new Error(\`Swarms API error: \\${response.status}\`); + const errorText = await response.text(); + throw new Error(\`Swarms API autonomous execution failed: \${response.status} - \${errorText}\`); } - const result = await response.json(); - console.log('✅ Analysis completed'); + const analysisResult = await response.json(); + const intelligenceReport = analysisResult.output; + + console.log('✅ Autonomous Swarms AI analysis completed successfully'); + console.log(\`💰 Autonomous execution cost: \${analysisResult.usage?.billing_info?.total_cost || 'N/A'}\`); + + // Step 3: Execute autonomous actions based on intelligence + if (env.AUTONOMOUS_ALERTS_EMAIL) { + console.log('📧 Executing autonomous alert system...'); + await executeAutonomousAlerts(env, intelligenceReport, marketIntelligence); + } return { success: true, - analysis: result.output, - symbolsAnalyzed: validSymbols.length, - cost: result.usage?.billing_info?.total_cost + analysis: intelligenceReport, + symbolsAnalyzed: validData.length, + cost: analysisResult.usage?.billing_info?.total_cost || analysisResult.metadata?.billing_info?.total_cost, + executionTime: new Date().toISOString(), + nextExecution: 'Scheduled for next autonomous cron trigger', + autonomousSystem: 'Swarms AI Agents' }; } catch (error) { - console.error('❌ Analysis failed:', error.message); + console.error('❌ Autonomous analysis execution failed:', error.message); return { success: false, - error: error.message + error: error.message, + executionTime: new Date().toISOString(), + autonomousSystem: 'Error in autonomous pipeline' }; } } -// Fetch market data from Yahoo Finance (free, no API key required) -async function fetchMarketData() { - const symbols = ['SPY', 'AAPL', 'MSFT', 'TSLA']; - const marketData = {}; +// Autonomous market intelligence collection +async function collectMarketIntelligence() { + const targetSymbols = ['SPY', 'QQQ', 'AAPL', 'MSFT', 'NVDA', 'TSLA']; + const marketIntelligence = {}; + + console.log('🎯 Executing autonomous multi-source data collection...'); - const promises = symbols.map(async (symbol) => { + const dataCollectionPromises = targetSymbols.map(async (symbol) => { try { const controller = new AbortController(); - const timeout = setTimeout(() => controller.abort(), 8000); + const timeout = setTimeout(() => controller.abort(), 10000); + // Autonomous data collection from Yahoo Finance API const response = await fetch( - \`https://query1.finance.yahoo.com/v8/finance/chart/\\${symbol}\`, + \`https://query1.finance.yahoo.com/v8/finance/chart/\${symbol}\`, { signal: controller.signal, - headers: { 'User-Agent': 'Mozilla/5.0' } + headers: { + 'User-Agent': 'Mozilla/5.0 (autonomous-swarms-agent) AppleWebKit/537.36' + } } ); clearTimeout(timeout); - if (!response.ok) throw new Error(\`HTTP \\${response.status}\`); + if (!response.ok) { + throw new Error(\`Autonomous data collection failed: HTTP \${response.status}\`); + } const data = await response.json(); - const result = data.chart.result[0]; - const meta = result.meta; + const chartResult = data.chart.result[0]; + const meta = chartResult.meta; + + if (!meta) { + throw new Error('Invalid market intelligence structure received'); + } const currentPrice = meta.regularMarketPrice; const previousClose = meta.previousClose; - const change = currentPrice - previousClose; - const changePercent = ((change / previousClose) * 100).toFixed(2); + const dayChange = currentPrice - previousClose; + const changePercent = ((dayChange / previousClose) * 100).toFixed(2); + + console.log(\`📈 \${symbol}: $\${currentPrice} (\${changePercent}%) - Autonomous collection successful\`); return [symbol, { price: currentPrice, - change: change, + change: dayChange, change_percent: changePercent, - volume: meta.regularMarketVolume, - currency: meta.currency + volume: meta.regularMarketVolume || 0, + market_cap: meta.marketCap || 0, + pe_ratio: meta.trailingPE || 0, + day_high: meta.regularMarketDayHigh, + day_low: meta.regularMarketDayLow, + fifty_two_week_high: meta.fiftyTwoWeekHigh, + fifty_two_week_low: meta.fiftyTwoWeekLow, + currency: meta.currency || 'USD', + market_state: meta.marketState, + autonomous_collection_time: new Date().toISOString(), + data_quality: 'high' }]; } catch (error) { - return [symbol, { error: error.message }]; + console.error(\`❌ Autonomous collection failed for \${symbol}:\`, error.message); + return [symbol, { + error: \`Autonomous collection failed: \${error.message}\`, + autonomous_collection_time: new Date().toISOString(), + data_quality: 'failed' + }]; } }); - const results = await Promise.allSettled(promises); + const results = await Promise.allSettled(dataCollectionPromises); results.forEach((result) => { if (result.status === 'fulfilled' && result.value) { const [symbol, data] = result.value; - marketData[symbol] = data; + marketIntelligence[symbol] = data; } }); - return marketData; + const successfulCollections = Object.keys(marketIntelligence).filter(k => !marketIntelligence[k]?.error).length; + console.log(\`📊 Autonomous intelligence collection completed: \${successfulCollections}/\${targetSymbols.length} successful\`); + + return marketIntelligence; } -``` -## Key Features Explained +// Autonomous alert and notification system +async function executeAutonomousAlerts(env, intelligenceReport, marketIntelligence) { + if (!env.MAILGUN_API_KEY || !env.MAILGUN_DOMAIN || !env.AUTONOMOUS_ALERTS_EMAIL) { + console.log('⚠️ Autonomous alert system not configured - skipping notifications'); + return; + } -### 1. **Dual Handler Pattern** -- **`fetch()`**: Handles HTTP requests, provides web UI for testing -- **`scheduled()`**: Executes on cron schedule automatically -- **Shared Logic**: Both use the same `handleStockAnalysis()` function + try { + // Autonomous detection of significant market movements + const significantMovements = Object.entries(marketIntelligence) + .filter(([symbol, data]) => data.change_percent && Math.abs(parseFloat(data.change_percent)) > 3) + .map(([symbol, data]) => \`\${symbol}: \${data.change_percent}%\`) + .join(', '); -### 2. **Cron Configuration** -```jsonc -"triggers": { - "crons": [ - "0 */3 * * *" // Every 3 hours - "0 9 * * MON-FRI" // Weekdays at 9 AM - ] + const alertSubject = \`🤖 Autonomous Market Intelligence Alert - \${new Date().toLocaleDateString()}\`; + + const alertBody = \` + + + + + + +
+
+

🤖 Autonomous Market Intelligence

+

AI-Powered Autonomous Financial Analysis • Swarms API

+
+ Autonomous + Real-time + AI-Powered + Global Edge +
+

Generated: \${new Date().toLocaleString()}

+
+ +
+
+

🚀 Autonomous Analysis Execution Complete

+

Significant Market Movements Detected: \${significantMovements || 'Market within normal volatility parameters'}

+

Next Autonomous Cycle: Scheduled automatically

+
+ +
+

🧠 Autonomous AI Intelligence Report

+

Generated by autonomous Swarms AI agents with real-time market intelligence:

+ 
\${intelligenceReport}
+
+ +
+

📊 Real-Time Market Intelligence

+ + + + + + + + + + + + + \${Object.entries(marketIntelligence) + .filter(([symbol, data]) => !data.error) + .map(([symbol, data]) => \` + + + + + + + + + \`).join('')} + +
SymbolPriceChangeVolumeMarket StateData Quality
\${symbol}$\${data.price?.toFixed(2) || 'N/A'} + \${parseFloat(data.change_percent) >= 0 ? '+' : ''}\${data.change_percent}% + \${data.volume?.toLocaleString() || 'N/A'}\${data.market_state || 'N/A'}\${data.data_quality || 'N/A'}
+
+
+ +
+

🤖 Powered by Autonomous Swarms AI Agents

+

This intelligence report was generated automatically by our autonomous market analysis system

+

Next autonomous analysis will execute automatically on schedule

+

Swarms API • Autonomous Intelligence • Edge Computing

+
+
+ + + \`; + + const formData = new FormData(); + formData.append('from', \`Autonomous Market Intelligence \`); + formData.append('to', env.AUTONOMOUS_ALERTS_EMAIL); + formData.append('subject', alertSubject); + formData.append('html', alertBody); + + const response = await fetch(\`https://api.mailgun.net/v3/\${env.MAILGUN_DOMAIN}/messages\`, { + method: 'POST', + headers: { + 'Authorization': \`Basic \${btoa(\`api:\${env.MAILGUN_API_KEY}\`)}\` + }, + body: formData + }); + + if (response.ok) { + console.log('✅ Autonomous alert system executed successfully'); + } else { + console.error('❌ Autonomous alert system execution failed:', await response.text()); + } + + } catch (error) { + console.error('❌ Autonomous alert system error:', error.message); + } } ``` -### 3. **Real Data Integration** -- **Yahoo Finance API**: Free, no API key required -- **Error Handling**: Timeout management, fallback responses -- **Parallel Processing**: Fetch multiple symbols simultaneously +## Autonomous Healthcare Intelligence Agent -### 4. **Production Features** -- **Web Interface**: Test manually via browser -- **Structured Responses**: Consistent JSON format -- **Error Recovery**: Graceful failure handling -- **Logging**: Console output for debugging +Deploy autonomous healthcare agents that provide 24/7 patient monitoring with intelligent analysis: -## Deployment +```javascript +export default { + async fetch(request, env, ctx) { + const url = new URL(request.url); + + if (url.pathname === '/') { + return new Response(` + + + + Autonomous Healthcare Intelligence + + + +
+
+

🏥 Autonomous Healthcare Intelligence

+

AI-Powered 24/7 Patient Monitoring • Autonomous Medical Analysis

+
+ Autonomous + 24/7 Monitoring + AI-Powered + Real-time +
+
+ +
+
+

✅ Normal Status

+

Patients: 15

+

Stable vital signs

+

Autonomous monitoring active

+
+
+

⚠️ Monitoring Required

+

Patients: 3

+

Elevated parameters

+

Enhanced surveillance

+
+
+

🚨 Critical Alert

+

Patients: 1

+

Immediate intervention

+

Emergency protocols active

+
+
+ +
+ +
+ +
+
+ + + + + `, { + headers: { 'Content-Type': 'text/html' } + }); + } + + if (url.pathname === '/health-intelligence') { + try { + const result = await executeAutonomousHealthIntelligence(null, env); + return new Response(JSON.stringify({ + message: 'Autonomous health intelligence analysis executed', + timestamp: new Date().toISOString(), + result + }), { + headers: { 'Content-Type': 'application/json' } + }); + } catch (error) { + return new Response(JSON.stringify({ + error: error.message, + system: 'autonomous-healthcare-intelligence' + }), { + status: 500, + headers: { 'Content-Type': 'application/json' } + }); + } + } + + return new Response('Autonomous Healthcare Intelligence Endpoint Not Found', { status: 404 }); + }, -```bash -# Deploy to Cloudflare -wrangler deploy + // Autonomous healthcare monitoring - every 30 minutes + async scheduled(event, env, ctx) { + console.log('🏥 Autonomous healthcare intelligence system triggered'); + ctx.waitUntil(executeAutonomousHealthIntelligence(event, env)); + } +}; -# View logs -wrangler tail +async function executeAutonomousHealthIntelligence(event, env) { + console.log('🏥 Autonomous healthcare intelligence system executing...'); + + try { + // Autonomous patient data collection + const patientIntelligence = await collectPatientIntelligence(); + + // Deploy autonomous Swarms healthcare AI agents + const healthIntelligenceConfig = { + name: "Autonomous Healthcare Intelligence Swarm", + description: "24/7 autonomous patient monitoring and medical analysis system", + agents: [ + { + agent_name: "Autonomous Vital Signs Intelligence Agent", + system_prompt: \`You are an autonomous healthcare AI agent providing 24/7 patient monitoring. Analyze: + - Continuous heart rate monitoring and arrhythmia detection (Normal: 60-100 bpm) + - Autonomous blood pressure trend analysis (Normal: <140/90 mmHg) + - Real-time oxygen saturation monitoring (Normal: >95%) + - Continuous temperature surveillance (Normal: 97-99°F) + + Classify each patient autonomously as: NORMAL_MONITORING, ENHANCED_SURVEILLANCE, or CRITICAL_INTERVENTION + For critical findings, trigger autonomous emergency protocols.\`, + model_name: "gpt-4o-mini", + max_tokens: 2500, + temperature: 0.05 + }, + { + agent_name: "Autonomous Medical Risk Assessment Agent", + system_prompt: \`You are an autonomous medical AI providing continuous risk assessment. Monitor: + - Autonomous drug interaction analysis and medication safety + - Real-time disease progression and complication detection + - Continuous fall risk and mobility assessment + - Autonomous emergency intervention requirements + + Provide autonomous risk stratification and intervention priorities. + Focus on predictive analytics and early autonomous warning systems.\`, + model_name: "gpt-4o-mini", + max_tokens: 2500, + temperature: 0.05 + } + ], + swarm_type: "ConcurrentWorkflow", + task: \`Execute autonomous 24/7 healthcare intelligence analysis: + + PATIENT INTELLIGENCE DATA: + \${JSON.stringify(patientIntelligence, null, 2)} + + Generate autonomous healthcare intelligence including: + 1. Individual patient autonomous risk assessment and monitoring status + 2. Critical autonomous intervention requirements and emergency protocols + 3. Autonomous alert recommendations and escalation procedures + 4. Predictive health analytics and preventive care suggestions + 5. Next autonomous monitoring cycle parameters and priorities + + Focus on autonomous decision support for medical staff and emergency response systems.\`, + max_loops: 1 + }; -# Test cron manually -wrangler triggers cron "0 */3 * * *" + const response = await fetch('https://api.swarms.world/v1/swarm/completions', { + method: 'POST', + headers: { + 'x-api-key': env.SWARMS_API_KEY, + 'Content-Type': 'application/json' + }, + body: JSON.stringify(healthIntelligenceConfig) + }); + + if (!response.ok) { + throw new Error(\`Autonomous healthcare intelligence failed: \${response.status}\`); + } + + const result = await response.json(); + const healthIntelligence = result.output; + + // Autonomous severity assessment + const severity = assessAutonomousHealthSeverity(healthIntelligence); + + console.log(\`✅ Autonomous healthcare intelligence completed - Severity: \${severity}\`); + + // Autonomous emergency response system + if (severity === 'critical' && env.HEALTHCARE_EMERGENCY_EMAIL) { + console.log('🚨 Executing autonomous emergency response protocol...'); + await executeAutonomousEmergencyResponse(env, healthIntelligence, patientIntelligence); + } + + return { + success: true, + analysis: healthIntelligence, + severity: severity, + patientsAnalyzed: Object.keys(patientIntelligence).length, + executionTime: new Date().toISOString(), + nextAutonomousMonitoring: 'Scheduled for next autonomous cycle', + autonomousSystem: 'Swarms Healthcare AI' + }; + + } catch (error) { + console.error('❌ Autonomous healthcare intelligence failed:', error.message); + return { + success: false, + error: error.message, + severity: 'autonomous_system_error', + executionTime: new Date().toISOString() + }; + } +} + +// Autonomous patient intelligence collection +async function collectPatientIntelligence() { + // In production, connect to EMR systems, IoT devices, and medical databases + return { + "ICU_Autonomous_001": { + name: "Sarah Johnson", + age: 68, + room: "ICU-205", + condition: "Post-cardiac surgery - autonomous monitoring", + vitals: { + heart_rate: 95, + blood_pressure_systolic: 135, + blood_pressure_diastolic: 88, + oxygen_saturation: 97, + temperature: 98.8, + respiratory_rate: 16 + }, + medications: ["Metoprolol", "Warfarin", "Furosemide"], + risk_factors: ["Diabetes", "Hypertension", "Previous MI"], + autonomous_monitoring_level: "enhanced", + last_updated: new Date().toISOString() + }, + "Ward_Autonomous_002": { + name: "Michael Chen", + age: 45, + room: "Ward-301", + condition: "Pneumonia recovery - autonomous surveillance", + vitals: { + heart_rate: 88, + blood_pressure_systolic: 128, + blood_pressure_diastolic: 82, + oxygen_saturation: 94, // Slightly low - autonomous flag + temperature: 100.1, // Mild fever - autonomous flag + respiratory_rate: 20 + }, + medications: ["Azithromycin", "Albuterol"], + risk_factors: ["Asthma", "Smoking history"], + autonomous_monitoring_level: "standard", + last_updated: new Date().toISOString() + }, + "Critical_Autonomous_003": { + name: "Elena Rodriguez", + age: 72, + room: "ICU-208", + condition: "Sepsis - autonomous critical monitoring", + vitals: { + heart_rate: 115, // Elevated - autonomous critical flag + blood_pressure_systolic: 85, // Low - autonomous critical flag + blood_pressure_diastolic: 55, // Low - autonomous critical flag + oxygen_saturation: 89, // Critical - autonomous emergency flag + temperature: 103.2, // High fever - autonomous critical flag + respiratory_rate: 28 // Elevated - autonomous critical flag + }, + medications: ["Vancomycin", "Norepinephrine", "Hydrocortisone"], + risk_factors: ["Sepsis", "Multi-organ dysfunction", "Advanced age"], + autonomous_monitoring_level: "critical", + last_updated: new Date().toISOString() + } + }; +} + +function assessAutonomousHealthSeverity(intelligenceReport) { + const reportText = typeof intelligenceReport === 'string' ? intelligenceReport : JSON.stringify(intelligenceReport); + + if (reportText.includes('CRITICAL_INTERVENTION') || + reportText.includes('EMERGENCY') || + reportText.includes('IMMEDIATE_ACTION') || + reportText.includes('SEPSIS') || + reportText.includes('CARDIAC_ARREST') || + reportText.includes('RESPIRATORY_FAILURE')) { + return 'critical'; + } else if (reportText.includes('ENHANCED_SURVEILLANCE') || + reportText.includes('ELEVATED') || + reportText.includes('CONCERNING') || + reportText.includes('ABNORMAL') || + reportText.includes('MONITORING_REQUIRED')) { + return 'warning'; + } + return 'normal'; +} + +async function executeAutonomousEmergencyResponse(env, intelligenceReport, patientIntelligence) { + console.log('🚨 Autonomous emergency response protocol executing...'); + + // Autonomous emergency response would include: + // - Immediate medical team notifications + // - Automated equipment preparation alerts + // - Emergency response coordination + // - Real-time escalation to on-call physicians + // - Integration with hospital emergency systems +} ``` -## Environment Variables +## Deployment & Configuration -Add to `wrangler.jsonc`: +### Environment Variables + +Configure your Cloudflare Workers deployment with Swarms API: ```jsonc { "vars": { "SWARMS_API_KEY": "your-swarms-api-key", - "MAILGUN_API_KEY": "optional-for-emails", - "MAILGUN_DOMAIN": "your-domain.com", - "RECIPIENT_EMAIL": "alerts@company.com" + "AUTONOMOUS_ALERTS_EMAIL": "intelligence@yourcompany.com", + "HEALTHCARE_EMERGENCY_EMAIL": "emergency@hospital.com", + "MAILGUN_API_KEY": "your-mailgun-key", + "MAILGUN_DOMAIN": "intelligence.yourcompany.com" + } +} +``` + +### Cloudflare Workers Cron Scheduling Patterns + +```jsonc +{ + "triggers": { + "crons": [ + "0 */3 * * *", // Financial Swarms agents every 3 hours + "*/30 * * * *", // Healthcare Swarms monitoring every 30 minutes + "0 9,15,21 * * *", // Daily Swarms intelligence briefings + "*/5 * * * *" // Critical Swarms systems every 5 minutes + ] } } ``` -## Testing +### Cloudflare Workers Deployment Commands + +```bash +# Deploy Swarms AI agents to Cloudflare Workers +wrangler deploy + +# Monitor Cloudflare Workers execution logs +wrangler tail + +# Test Cloudflare Workers cron triggers manually +wrangler triggers cron "0 */3 * * *" + +``` + +## Production Best Practices + +### 1. **Cloudflare Workers + Swarms API Integration** +- Implement comprehensive error handling for both platforms +- Use Cloudflare Workers KV for caching Swarms API responses +- Leverage Cloudflare Workers analytics for monitoring -1. **Deploy**: `wrangler deploy` -2. **Visit URL**: Open your worker URL to see the web interface -3. **Manual Test**: Click "Start Analysis" button -4. **Cron Test**: `wrangler triggers cron "0 */3 * * *"` +### 2. **Cost Optimization** +- Monitor Swarms API usage and costs +- Use Cloudflare Workers free tier (100K requests/day) +- Implement intelligent batching for Swarms API efficiency +- Use cost-effective Swarms models (gpt-4o-mini recommended) -## Production Tips +### 3. **Security & Compliance** +- Secure Swarms API keys in Cloudflare Workers environment variables +- Use Cloudflare Workers secrets for sensitive data +- Audit AI decisions and maintain compliance logs +- HIPAA compliance for healthcare applications -- **Error Handling**: Always wrap API calls in try-catch -- **Timeouts**: Use AbortController for external API calls -- **Logging**: Use console.log for debugging in Cloudflare dashboard -- **Rate Limits**: Yahoo Finance is free but has rate limits -- **Cost Control**: Set appropriate `max_tokens` in agent config +### 4. **Monitoring & Observability** +- Track Cloudflare Workers performance metrics +- Monitor Swarms API response times and success rates +- Use Cloudflare Workers analytics dashboard +- Set up alerts for system failures and anomalies -This minimal implementation provides a solid foundation for production AI agents on Cloudflare Workers with automated scheduling and real-time data integration. \ No newline at end of file +This deployment architecture combines **Swarms API's advanced multi-agent intelligence** with **Cloudflare Workers' global edge infrastructure**, enabling truly intelligent, self-executing AI agents that operate continuously across 330+ cities worldwide, providing real-time intelligence and automated decision-making capabilities with ultra-low latency. \ No newline at end of file