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962 lines
41 KiB
962 lines
41 KiB
# Deploy Autonomous Cron Agents with Swarms API on Cloudflare Workers
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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.
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## What Are Autonomous Cron Agents?
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Autonomous cron agents combine **Swarms API intelligence** with **Cloudflare Workers edge computing** to create AI-powered systems that:
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- **Execute automatically** on predefined schedules without human intervention
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- **Fetch real-time data** from external sources (APIs, databases, IoT sensors)
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- **Perform intelligent analysis** using specialized Swarms AI agents
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- **Take automated actions** based on analysis findings (alerts, reports, decisions)
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- **Scale globally** on Cloudflare's edge network with sub-100ms response times worldwide
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## Architecture Overview
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```
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┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
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│ Cloudflare │ │ Data Sources │ │ Swarms API │
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│ Workers Cron │ │ │ │ │
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│ "0 */3 * * *" │───▶│ Yahoo Finance │───▶│ Multi-Agent │
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│ │ │ Medical APIs │ │ Intelligence │
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│ scheduled() │ │ News Feeds │ │ Autonomous │
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│ Global Edge │ │ IoT Sensors │ │ Actions │
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└─────────────────┘ └─────────────────┘ └─────────────────┘
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```
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**Key Benefits:**
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- **24/7 Autonomous Operation**: Zero human intervention required
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- **Global Edge Deployment**: Cloudflare's 330+ city network for ultra-low latency
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- **Swarms AI Intelligence**: Live data analysis with specialized AI agents
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- **Automated Decision Making**: Smart actions based on Swarms agent insights
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- **Enterprise Reliability**: Production-grade error handling and monitoring
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## Quick Start: Deploy Autonomous Stock Analysis Agent
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Create your first autonomous financial intelligence agent powered by Swarms API and deployed on Cloudflare Workers edge network.
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### 1. Cloudflare Workers Project Setup
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```bash
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# Create new Cloudflare Workers project
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npm create cloudflare@latest autonomous-stock-agent
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cd autonomous-stock-agent
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# Install dependencies for Swarms API integration
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npm run start
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```
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### 2. Configure Cloudflare Workers Cron Schedule
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Edit `wrangler.jsonc` to set up autonomous execution:
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```jsonc
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{
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"$schema": "node_modules/wrangler/config-schema.json",
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"name": "autonomous-stock-agent",
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"main": "src/index.js",
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"compatibility_date": "2025-08-03",
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"observability": {
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"enabled": true
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},
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"triggers": {
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"crons": [
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"0 */3 * * *" // Cloudflare Workers cron: autonomous analysis every 3 hours
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]
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},
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"vars": {
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"SWARMS_API_KEY": "your-swarms-api-key" // Your Swarms API key
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}
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}
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```
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### 3. Cloudflare Workers + Swarms API Implementation
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Create `src/index.js`:
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```javascript
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export default {
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// Cloudflare Workers fetch handler - Web interface for monitoring
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async fetch(request, env, ctx) {
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const url = new URL(request.url);
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if (url.pathname === '/') {
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return new Response(`
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<!DOCTYPE html>
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<html>
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<head>
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<title>Autonomous Stock Intelligence Agent</title>
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<style>
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body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; max-width: 1000px; margin: 40px auto; padding: 30px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; }
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.container { background: white; padding: 40px; border-radius: 15px; box-shadow: 0 20px 40px rgba(0,0,0,0.2); }
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.header { text-align: center; margin-bottom: 40px; color: #333; }
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.btn { padding: 15px 30px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border: none; border-radius: 8px; cursor: pointer; font-size: 16px; font-weight: 600; transition: all 0.3s ease; }
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.btn:hover { transform: translateY(-2px); box-shadow: 0 10px 25px rgba(102, 126, 234, 0.3); }
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.status { background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%); color: white; padding: 20px; border-radius: 10px; margin: 25px 0; text-align: center; font-weight: 600; }
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.result { background: #f8f9fa; padding: 25px; border-radius: 10px; margin: 25px 0; white-space: pre-wrap; border-left: 5px solid #667eea; }
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.loading { display: none; text-align: center; margin: 30px 0; }
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.spinner { border: 4px solid #f3f3f3; border-top: 4px solid #667eea; border-radius: 50%; width: 40px; height: 40px; animation: spin 1s linear infinite; margin: 0 auto 15px; }
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@keyframes spin { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } }
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.badge { display: inline-block; background: #667eea; color: white; padding: 5px 12px; border-radius: 20px; font-size: 12px; font-weight: 600; margin: 5px; }
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</style>
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</head>
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<body>
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<div class="container">
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<div class="header">
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<h1>🤖 Autonomous Stock Intelligence Agent</h1>
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<p>Powered by Swarms API • Running on Cloudflare Workers</p>
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<div>
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<span class="badge">Swarms AI</span>
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<span class="badge">Cloudflare Edge</span>
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<span class="badge">Real-time</span>
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<span class="badge">Autonomous</span>
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</div>
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</div>
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<div class="status">
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<strong>🚀 Status:</strong> Swarms AI agents active on Cloudflare edge, monitoring markets 24/7
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</div>
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<div style="text-align: center;">
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<button class="btn" onclick="executeAnalysis()">⚡ Execute Analysis Now</button>
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</div>
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<div id="loading" class="loading">
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<div class="spinner"></div>
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<p><strong>Swarms AI agents analyzing live market data on Cloudflare edge...</strong></p>
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</div>
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<div id="result"></div>
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</div>
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<script>
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async function executeAnalysis() {
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const loadingDiv = document.getElementById('loading');
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const resultDiv = document.getElementById('result');
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loadingDiv.style.display = 'block';
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resultDiv.innerHTML = '';
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try {
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const response = await fetch('/execute');
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const data = await response.json();
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loadingDiv.style.display = 'none';
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if (data.result?.success) {
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resultDiv.innerHTML = \`
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<div style="background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%); color: white; padding: 20px; border-radius: 10px; margin-bottom: 25px;">
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<h3>✅ Autonomous Analysis Completed</h3>
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<p><strong>Symbols Analyzed:</strong> \${data.result.symbolsAnalyzed} | <strong>Execution Cost:</strong> $\${data.result.cost || 'N/A'}</p>
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<p><strong>Next Autonomous Execution:</strong> \${data.result.nextExecution || 'Scheduled'}</p>
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</div>
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<div class="result">
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<h3>🧠 Autonomous AI Intelligence Report:</h3>
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<pre>\${data.result.analysis || 'No analysis available'}</pre>
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</div>
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\`;
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} else {
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resultDiv.innerHTML = \`
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<div style="background: linear-gradient(135deg, #ff6b6b 0%, #feca57 100%); color: white; padding: 20px; border-radius: 10px;">
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<h3>⚠️ Autonomous Execution Failed</h3>
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<p>\${data.result?.error || data.error || 'Unknown error in autonomous system'}</p>
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</div>
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\`;
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}
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} catch (error) {
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loadingDiv.style.display = 'none';
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resultDiv.innerHTML = \`
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<div style="background: #ff6b6b; color: white; padding: 20px; border-radius: 10px;">
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<h3>❌ Autonomous System Error</h3>
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<p>\${error.message}</p>
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</div>
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\`;
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}
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}
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</script>
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</body>
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</html>
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`, {
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headers: { 'Content-Type': 'text/html' }
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});
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}
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if (url.pathname === '/execute') {
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try {
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const result = await executeAutonomousAnalysis(null, env);
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return new Response(JSON.stringify({
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message: 'Autonomous analysis executed successfully',
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timestamp: new Date().toISOString(),
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result
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}), {
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headers: { 'Content-Type': 'application/json' }
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});
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} catch (error) {
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return new Response(JSON.stringify({
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error: error.message,
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timestamp: new Date().toISOString(),
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system: 'autonomous-agent'
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}), {
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status: 500,
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headers: { 'Content-Type': 'application/json' }
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});
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}
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}
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return new Response('Autonomous Agent Endpoint Not Found', { status: 404 });
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},
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// Cloudflare Workers cron handler - triggered by scheduled events
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async scheduled(event, env, ctx) {
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console.log('🚀 Cloudflare Workers cron triggered - executing Swarms AI analysis');
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ctx.waitUntil(executeAutonomousAnalysis(event, env));
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}
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};
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// Core function combining Cloudflare Workers execution with Swarms API intelligence
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async function executeAutonomousAnalysis(event, env) {
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console.log('🤖 Cloudflare Workers executing Swarms AI stock intelligence analysis...');
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try {
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// Step 1: Autonomous data collection from multiple sources
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console.log('📊 Executing autonomous data collection...');
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const marketIntelligence = await collectMarketIntelligence();
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const validData = Object.keys(marketIntelligence).filter(symbol => !marketIntelligence[symbol].error);
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if (validData.length === 0) {
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throw new Error('Autonomous data collection failed - no valid market intelligence gathered');
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}
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console.log(\`✅ Autonomous data collection successful: \${validData.length} sources\`);
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// Step 2: Deploy Swarms AI agents for autonomous analysis
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console.log('🧠 Deploying Swarms AI agents for autonomous intelligence generation...');
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const swarmConfiguration = {
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name: "Autonomous Market Intelligence Swarm",
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description: "Self-executing financial analysis and decision support system",
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agents: [
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{
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agent_name: "Autonomous Technical Intelligence Agent",
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system_prompt: \`You are an autonomous technical analysis AI agent operating 24/7. Provide:
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- Real-time trend identification and momentum analysis
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- Dynamic support/resistance level calculations
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- Technical indicator signals (RSI, MACD, moving averages)
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- Autonomous price targets and risk assessments
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- Self-executing trading signal recommendations
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Format your analysis as a professional autonomous intelligence briefing for automated systems.\`,
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model_name: "gpt-4o-mini",
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max_tokens: 2500,
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temperature: 0.2
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},
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{
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agent_name: "Autonomous Market Sentiment Agent",
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system_prompt: \`You are an autonomous market sentiment analysis AI agent. Continuously evaluate:
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- Real-time market psychology and investor behavior patterns
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- Volume analysis and institutional activity detection
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- Risk-on vs risk-off sentiment shifts
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- Autonomous sector rotation and leadership identification
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- Self-executing market timing recommendations
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Provide actionable intelligence for autonomous decision-making systems.\`,
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model_name: "gpt-4o-mini",
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max_tokens: 2500,
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temperature: 0.3
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}
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],
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swarm_type: "ConcurrentWorkflow",
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task: \`Execute autonomous analysis of real-time market intelligence:
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LIVE MARKET INTELLIGENCE:
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\${JSON.stringify(marketIntelligence, null, 2)}
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Generate comprehensive autonomous intelligence report including:
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1. Technical analysis with specific autonomous entry/exit recommendations
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2. Market sentiment assessment with timing signals for automated systems
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3. Risk management protocols for autonomous execution
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4. Self-executing action recommendations
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5. Key monitoring parameters for next autonomous cycle
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Focus on actionable intelligence for autonomous trading systems and automated decision making.\`,
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max_loops: 1
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};
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// Execute Swarms API call from Cloudflare Workers edge
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const response = await fetch('https://api.swarms.world/v1/swarm/completions', {
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method: 'POST',
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headers: {
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'x-api-key': env.SWARMS_API_KEY,
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'Content-Type': 'application/json'
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},
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body: JSON.stringify(swarmConfiguration)
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});
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if (!response.ok) {
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const errorText = await response.text();
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throw new Error(\`Swarms API autonomous execution failed: \${response.status} - \${errorText}\`);
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}
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const analysisResult = await response.json();
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const intelligenceReport = analysisResult.output;
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console.log('✅ Autonomous Swarms AI analysis completed successfully');
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console.log(\`💰 Autonomous execution cost: \${analysisResult.usage?.billing_info?.total_cost || 'N/A'}\`);
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// Step 3: Execute autonomous actions based on intelligence
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if (env.AUTONOMOUS_ALERTS_EMAIL) {
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console.log('📧 Executing autonomous alert system...');
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await executeAutonomousAlerts(env, intelligenceReport, marketIntelligence);
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}
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return {
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success: true,
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analysis: intelligenceReport,
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symbolsAnalyzed: validData.length,
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cost: analysisResult.usage?.billing_info?.total_cost || analysisResult.metadata?.billing_info?.total_cost,
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executionTime: new Date().toISOString(),
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nextExecution: 'Scheduled for next autonomous cron trigger',
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autonomousSystem: 'Swarms AI Agents'
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};
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} catch (error) {
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console.error('❌ Autonomous analysis execution failed:', error.message);
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return {
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success: false,
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error: error.message,
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executionTime: new Date().toISOString(),
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autonomousSystem: 'Error in autonomous pipeline'
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};
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}
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}
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// Autonomous market intelligence collection
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async function collectMarketIntelligence() {
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const targetSymbols = ['SPY', 'QQQ', 'AAPL', 'MSFT', 'NVDA', 'TSLA'];
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const marketIntelligence = {};
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console.log('🎯 Executing autonomous multi-source data collection...');
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const dataCollectionPromises = targetSymbols.map(async (symbol) => {
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try {
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const controller = new AbortController();
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const timeout = setTimeout(() => controller.abort(), 10000);
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// Autonomous data collection from Yahoo Finance API
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const response = await fetch(
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\`https://query1.finance.yahoo.com/v8/finance/chart/\${symbol}\`,
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{
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signal: controller.signal,
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headers: {
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'User-Agent': 'Mozilla/5.0 (autonomous-swarms-agent) AppleWebKit/537.36'
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}
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}
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);
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clearTimeout(timeout);
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if (!response.ok) {
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throw new Error(\`Autonomous data collection failed: HTTP \${response.status}\`);
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}
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const data = await response.json();
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const chartResult = data.chart.result[0];
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const meta = chartResult.meta;
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if (!meta) {
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throw new Error('Invalid market intelligence structure received');
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}
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const currentPrice = meta.regularMarketPrice;
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const previousClose = meta.previousClose;
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const dayChange = currentPrice - previousClose;
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const changePercent = ((dayChange / previousClose) * 100).toFixed(2);
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console.log(\`📈 \${symbol}: $\${currentPrice} (\${changePercent}%) - Autonomous collection successful\`);
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return [symbol, {
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price: currentPrice,
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change: dayChange,
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change_percent: changePercent,
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volume: meta.regularMarketVolume || 0,
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market_cap: meta.marketCap || 0,
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pe_ratio: meta.trailingPE || 0,
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day_high: meta.regularMarketDayHigh,
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day_low: meta.regularMarketDayLow,
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fifty_two_week_high: meta.fiftyTwoWeekHigh,
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fifty_two_week_low: meta.fiftyTwoWeekLow,
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currency: meta.currency || 'USD',
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market_state: meta.marketState,
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autonomous_collection_time: new Date().toISOString(),
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data_quality: 'high'
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}];
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} catch (error) {
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console.error(\`❌ Autonomous collection failed for \${symbol}:\`, error.message);
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return [symbol, {
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error: \`Autonomous collection failed: \${error.message}\`,
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autonomous_collection_time: new Date().toISOString(),
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data_quality: 'failed'
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}];
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}
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});
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const results = await Promise.allSettled(dataCollectionPromises);
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results.forEach((result) => {
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if (result.status === 'fulfilled' && result.value) {
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const [symbol, data] = result.value;
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marketIntelligence[symbol] = data;
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}
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});
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const successfulCollections = Object.keys(marketIntelligence).filter(k => !marketIntelligence[k]?.error).length;
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console.log(\`📊 Autonomous intelligence collection completed: \${successfulCollections}/\${targetSymbols.length} successful\`);
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return marketIntelligence;
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}
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// Autonomous alert and notification system
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async function executeAutonomousAlerts(env, intelligenceReport, marketIntelligence) {
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if (!env.MAILGUN_API_KEY || !env.MAILGUN_DOMAIN || !env.AUTONOMOUS_ALERTS_EMAIL) {
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console.log('⚠️ Autonomous alert system not configured - skipping notifications');
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return;
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}
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try {
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// Autonomous detection of significant market movements
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const significantMovements = Object.entries(marketIntelligence)
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.filter(([symbol, data]) => data.change_percent && Math.abs(parseFloat(data.change_percent)) > 3)
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.map(([symbol, data]) => \`\${symbol}: \${data.change_percent}%\`)
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.join(', ');
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const alertSubject = \`🤖 Autonomous Market Intelligence Alert - \${new Date().toLocaleDateString()}\`;
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const alertBody = \`
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<!DOCTYPE html>
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<html>
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<head>
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<style>
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body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; line-height: 1.6; color: #333; max-width: 1000px; margin: 0 auto; background: #f8f9fa; }
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.container { background: white; margin: 20px; border-radius: 15px; overflow: hidden; box-shadow: 0 15px 35px rgba(0,0,0,0.1); }
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.header { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; padding: 40px; text-align: center; }
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.content { padding: 40px; }
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.autonomous-badge { background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%); color: white; padding: 20px; border-radius: 10px; margin: 25px 0; text-align: center; }
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.intelligence-section { background: #f8f9fa; padding: 30px; border-radius: 10px; margin: 25px 0; border-left: 5px solid #667eea; }
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.market-data { margin: 25px 0; }
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table { width: 100%; border-collapse: collapse; margin: 20px 0; }
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th, td { padding: 15px; text-align: left; border-bottom: 1px solid #eee; }
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th { background: #f8f9fa; font-weight: 600; color: #333; }
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.positive { color: #28a745; font-weight: bold; }
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.negative { color: #dc3545; font-weight: bold; }
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.footer { background: #f8f9fa; padding: 25px; text-align: center; color: #666; font-size: 14px; }
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.badge { display: inline-block; background: #667eea; color: white; padding: 5px 12px; border-radius: 15px; font-size: 12px; font-weight: 600; margin: 3px; }
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</style>
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</head>
|
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<body>
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<div class="container">
|
|
<div class="header">
|
|
<h1>🤖 Autonomous Market Intelligence</h1>
|
|
<p>AI-Powered Autonomous Financial Analysis • Swarms API</p>
|
|
<div>
|
|
<span class="badge">Autonomous</span>
|
|
<span class="badge">Real-time</span>
|
|
<span class="badge">AI-Powered</span>
|
|
<span class="badge">Global Edge</span>
|
|
</div>
|
|
<p><strong>Generated:</strong> \${new Date().toLocaleString()}</p>
|
|
</div>
|
|
|
|
<div class="content">
|
|
<div class="autonomous-badge">
|
|
<h3>🚀 Autonomous Analysis Execution Complete</h3>
|
|
<p><strong>Significant Market Movements Detected:</strong> \${significantMovements || 'Market within normal volatility parameters'}</p>
|
|
<p><strong>Next Autonomous Cycle:</strong> Scheduled automatically</p>
|
|
</div>
|
|
|
|
<div class="intelligence-section">
|
|
<h2>🧠 Autonomous AI Intelligence Report</h2>
|
|
<p><em>Generated by autonomous Swarms AI agents with real-time market intelligence:</em></p>
|
|
<pre style="white-space: pre-wrap; font-family: 'Courier New', monospace; background: white; padding: 25px; border-radius: 8px; font-size: 13px; line-height: 1.6; border: 1px solid #eee;">\${intelligenceReport}</pre>
|
|
</div>
|
|
|
|
<div class="market-data">
|
|
<h2>📊 Real-Time Market Intelligence</h2>
|
|
<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Symbol</th>
|
|
<th>Price</th>
|
|
<th>Change</th>
|
|
<th>Volume</th>
|
|
<th>Market State</th>
|
|
<th>Data Quality</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
\${Object.entries(marketIntelligence)
|
|
.filter(([symbol, data]) => !data.error)
|
|
.map(([symbol, data]) => \`
|
|
<tr>
|
|
<td><strong>\${symbol}</strong></td>
|
|
<td>$\${data.price?.toFixed(2) || 'N/A'}</td>
|
|
<td class="\${parseFloat(data.change_percent) >= 0 ? 'positive' : 'negative'}">
|
|
\${parseFloat(data.change_percent) >= 0 ? '+' : ''}\${data.change_percent}%
|
|
</td>
|
|
<td>\${data.volume?.toLocaleString() || 'N/A'}</td>
|
|
<td>\${data.market_state || 'N/A'}</td>
|
|
<td>\${data.data_quality || 'N/A'}</td>
|
|
</tr>
|
|
\`).join('')}
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="footer">
|
|
<p><strong>🤖 Powered by Autonomous Swarms AI Agents</strong></p>
|
|
<p>This intelligence report was generated automatically by our autonomous market analysis system</p>
|
|
<p><em>Next autonomous analysis will execute automatically on schedule</em></p>
|
|
<p>Swarms API • Autonomous Intelligence • Edge Computing</p>
|
|
</div>
|
|
</div>
|
|
</body>
|
|
</html>
|
|
\`;
|
|
|
|
const formData = new FormData();
|
|
formData.append('from', \`Autonomous Market Intelligence <intelligence@\${env.MAILGUN_DOMAIN}>\`);
|
|
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);
|
|
}
|
|
}
|
|
```
|
|
|
|
## Autonomous Healthcare Intelligence Agent
|
|
|
|
Deploy autonomous healthcare agents that provide 24/7 patient monitoring with intelligent analysis:
|
|
|
|
```javascript
|
|
export default {
|
|
async fetch(request, env, ctx) {
|
|
const url = new URL(request.url);
|
|
|
|
if (url.pathname === '/') {
|
|
return new Response(`
|
|
<!DOCTYPE html>
|
|
<html>
|
|
<head>
|
|
<title>Autonomous Healthcare Intelligence</title>
|
|
<style>
|
|
body { font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif; max-width: 1200px; margin: 30px auto; padding: 30px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); min-height: 100vh; }
|
|
.container { background: white; padding: 50px; border-radius: 20px; box-shadow: 0 25px 50px rgba(0,0,0,0.2); }
|
|
.header { text-align: center; margin-bottom: 50px; }
|
|
.status-grid { display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 25px; margin: 40px 0; }
|
|
.status-card { padding: 25px; border-radius: 15px; text-align: center; color: white; box-shadow: 0 8px 25px rgba(0,0,0,0.15); }
|
|
.normal { background: linear-gradient(135deg, #11998e 0%, #38ef7d 100%); }
|
|
.warning { background: linear-gradient(135deg, #f093fb 0%, #f5576c 100%); }
|
|
.critical { background: linear-gradient(135deg, #ff416c 0%, #ff4b2b 100%); }
|
|
.btn { padding: 18px 35px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border: none; border-radius: 10px; cursor: pointer; font-size: 16px; font-weight: 600; margin: 15px; transition: all 0.3s ease; }
|
|
.btn:hover { transform: translateY(-3px); box-shadow: 0 12px 30px rgba(102, 126, 234, 0.4); }
|
|
.result { background: #f8f9fa; padding: 30px; border-radius: 12px; margin: 30px 0; border-left: 6px solid #667eea; }
|
|
.badge { display: inline-block; background: #667eea; color: white; padding: 6px 15px; border-radius: 20px; font-size: 12px; font-weight: 600; margin: 3px; }
|
|
</style>
|
|
</head>
|
|
<body>
|
|
<div class="container">
|
|
<div class="header">
|
|
<h1>🏥 Autonomous Healthcare Intelligence</h1>
|
|
<p>AI-Powered 24/7 Patient Monitoring • Autonomous Medical Analysis</p>
|
|
<div>
|
|
<span class="badge">Autonomous</span>
|
|
<span class="badge">24/7 Monitoring</span>
|
|
<span class="badge">AI-Powered</span>
|
|
<span class="badge">Real-time</span>
|
|
</div>
|
|
</div>
|
|
|
|
<div class="status-grid">
|
|
<div class="status-card normal">
|
|
<h3>✅ Normal Status</h3>
|
|
<p><strong>Patients: 15</strong></p>
|
|
<p>Stable vital signs</p>
|
|
<p>Autonomous monitoring active</p>
|
|
</div>
|
|
<div class="status-card warning">
|
|
<h3>⚠️ Monitoring Required</h3>
|
|
<p><strong>Patients: 3</strong></p>
|
|
<p>Elevated parameters</p>
|
|
<p>Enhanced surveillance</p>
|
|
</div>
|
|
<div class="status-card critical">
|
|
<h3>🚨 Critical Alert</h3>
|
|
<p><strong>Patients: 1</strong></p>
|
|
<p>Immediate intervention</p>
|
|
<p>Emergency protocols active</p>
|
|
</div>
|
|
</div>
|
|
|
|
<div style="text-align: center;">
|
|
<button class="btn" onclick="executeHealthIntelligence()">🔍 Execute Health Intelligence Analysis</button>
|
|
</div>
|
|
|
|
<div id="result"></div>
|
|
</div>
|
|
|
|
<script>
|
|
async function executeHealthIntelligence() {
|
|
document.getElementById('result').innerHTML = '<div style="text-align: center; padding: 30px;"><div style="border: 4px solid #f3f3f3; border-top: 4px solid #667eea; border-radius: 50%; width: 50px; height: 50px; animation: spin 1s linear infinite; margin: 0 auto;"></div><p><strong>Autonomous health intelligence agents analyzing patient data...</strong></p></div>';
|
|
|
|
try {
|
|
const response = await fetch('/health-intelligence');
|
|
const data = await response.json();
|
|
|
|
const severity = data.result?.severity || 'normal';
|
|
const severityColors = {
|
|
critical: '#ff416c',
|
|
warning: '#f093fb',
|
|
normal: '#11998e'
|
|
};
|
|
|
|
document.getElementById('result').innerHTML = \`
|
|
<div class="result" style="border-left-color: \${severityColors[severity]};">
|
|
<h3 style="color: \${severityColors[severity]};">
|
|
\${severity === 'critical' ? '🚨 CRITICAL AUTONOMOUS ALERT' : severity === 'warning' ? '⚠️ AUTONOMOUS MONITORING REQUIRED' : '✅ AUTONOMOUS SYSTEMS NORMAL'}
|
|
</h3>
|
|
<p><strong>Autonomous Analysis Time:</strong> \${new Date(data.timestamp).toLocaleString()}</p>
|
|
<p><strong>Patients Under Surveillance:</strong> \${data.result?.patientsAnalyzed || 'N/A'}</p>
|
|
<p><strong>Next Autonomous Cycle:</strong> Scheduled automatically</p>
|
|
<h4>🤖 Autonomous Health Intelligence Report:</h4>
|
|
<pre style="background: white; padding: 25px; border-radius: 10px; white-space: pre-wrap; border: 1px solid #eee;">\${data.result?.analysis || data.error}</pre>
|
|
</div>
|
|
\`;
|
|
} catch (error) {
|
|
document.getElementById('result').innerHTML = \`<div class="result" style="border-left-color: #ff416c;"><h3 style="color: #ff416c;">❌ Autonomous System Error</h3><p>\${error.message}</p></div>\`;
|
|
}
|
|
}
|
|
</script>
|
|
</body>
|
|
</html>
|
|
`, {
|
|
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 });
|
|
},
|
|
|
|
// Autonomous healthcare monitoring - every 30 minutes
|
|
async scheduled(event, env, ctx) {
|
|
console.log('🏥 Autonomous healthcare intelligence system triggered');
|
|
ctx.waitUntil(executeAutonomousHealthIntelligence(event, env));
|
|
}
|
|
};
|
|
|
|
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
|
|
};
|
|
|
|
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
|
|
}
|
|
```
|
|
|
|
## Deployment & Configuration
|
|
|
|
### Environment Variables
|
|
|
|
Configure your Cloudflare Workers deployment with Swarms API:
|
|
|
|
```jsonc
|
|
{
|
|
"vars": {
|
|
"SWARMS_API_KEY": "your-swarms-api-key",
|
|
"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
|
|
]
|
|
}
|
|
}
|
|
```
|
|
|
|
### Cloudflare Workers Deployment Commands
|
|
|
|
```bash
|
|
# Deploy Swarms AI agents to Cloudflare Workers
|
|
wrangler deploy
|
|
|
|
# Monitor Cloudflare Workers execution logs
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|
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
|
|
|
|
### 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)
|
|
|
|
### 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
|
|
|
|
### 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 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. |