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Deploy AI Agents with Swarms API on Cloudflare Workers

Deploy intelligent AI agents powered by Swarms API on Cloudflare Workers edge network. Build production-ready cron agents that run automatically, fetch real-time data, perform AI analysis, and execute actions across 330+ cities worldwide.

Overview

This integration demonstrates how to combine Swarms API multi-agent intelligence with Cloudflare Workers edge computing to create autonomous AI systems that:

  • ⚑ Execute automatically on predefined schedules (cron jobs)
  • πŸ“Š Fetch real-time data from external APIs (Yahoo Finance, news feeds)
  • πŸ€– Perform intelligent analysis using specialized Swarms AI agents
  • πŸ“§ Take automated actions (email alerts, reports, notifications)
  • 🌍 Scale globally on Cloudflare's edge network with sub-100ms latency

Repository & Complete Implementation

For the complete working implementation with full source code, detailed setup instructions, and ready-to-deploy examples, visit:

πŸ”— Swarms-CloudFlare-Deployment Repository

This repository provides: - Two complete implementations: JavaScript and Python - Production-ready code with error handling and monitoring - Step-by-step deployment guides for both local and production environments - Real-world examples including stock analysis agents - Configuration templates and environment setup

Available Implementations

The repository provides two complete implementations of stock analysis agents:

πŸ“‚ stock-agent/ - JavaScript Implementation

The original implementation using JavaScript/TypeScript on Cloudflare Workers.

πŸ“‚ python-stock-agent/ - Python Implementation

A Python Workers implementation using Cloudflare's beta Python runtime with Pyodide.

Stock Analysis Agent Features

Both implementations demonstrate a complete system that:

  1. Automated Analysis: Runs stock analysis every 3 hours using Cloudflare Workers cron
  2. Real-time Data: Fetches market data from Yahoo Finance API (no API key needed)
  3. News Integration: Collects market news from Financial Modeling Prep API (optional)
  4. Multi-Agent Analysis: Deploys multiple Swarms AI agents for technical and fundamental analysis
  5. Email Reports: Sends comprehensive reports via Mailgun
  6. Web Interface: Provides monitoring dashboard for manual triggers and status tracking

Implementation Comparison

Feature JavaScript (stock-agent/) Python (python-stock-agent/)
Runtime V8 JavaScript Engine Pyodide Python Runtime
Language JavaScript/TypeScript Python 3.x
Status Production Ready Beta (Python Workers)
Performance Optimized V8 execution Good, with Python stdlib support
Syntax fetch(), JSON.stringify() await fetch(), json.dumps()
Error Handling try/catch try/except
Libraries Built-in Web APIs Python stdlib + select packages
Development Mature tooling Growing ecosystem

Architecture

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”    β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚ Cloudflare      β”‚    β”‚  Data Sources   β”‚    β”‚   Swarms API    β”‚
β”‚ Workers Runtime β”‚    β”‚                 β”‚    β”‚                 β”‚
β”‚ "0 */3 * * *"   │───▢│ Yahoo Finance   │───▢│ Technical Agent β”‚
β”‚ JS | Python     β”‚    β”‚ News APIs       β”‚    β”‚ Fundamental     β”‚
β”‚ scheduled()     β”‚    β”‚ Market Data     β”‚    β”‚ Agent Analysis  β”‚
β”‚ Global Edge     β”‚    β”‚                 β”‚    β”‚                 β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜    β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Quick Start Guide

Choose your preferred implementation:

Option A: JavaScript Implementation

# Clone the repository
git clone https://github.com/The-Swarm-Corporation/Swarms-CloudFlare-Deployment.git
cd Swarms-CloudFlare-Deployment/stock-agent

# Install dependencies
npm install

Option B: Python Implementation

# Clone the repository
git clone https://github.com/The-Swarm-Corporation/Swarms-CloudFlare-Deployment.git
cd Swarms-CloudFlare-Deployment/python-stock-agent

# Install dependencies (Wrangler CLI)
npm install

2. Environment Configuration

Create a .dev.vars file in your chosen directory:

# Required: Swarms API key
SWARMS_API_KEY=your-swarms-api-key-here

# Optional: Market news (free tier available)
FMP_API_KEY=your-fmp-api-key

# Optional: Email notifications
MAILGUN_API_KEY=your-mailgun-api-key
MAILGUN_DOMAIN=your-domain.com
RECIPIENT_EMAIL=your-email@example.com

3. Cron Schedule Configuration

The cron schedule is configured in wrangler.jsonc:

{
  "triggers": {
    "crons": [
      "0 */3 * * *"  // Every 3 hours
    ]
  }
}

Common cron patterns: - "0 9 * * 1-5" - 9 AM weekdays only - "0 */6 * * *" - Every 6 hours
- "0 0 * * *" - Daily at midnight

4. Local Development

# Start local development server
npm run dev

# Visit http://localhost:8787 to test

5. Deploy to Cloudflare Workers

# Deploy to production
npm run deploy

# Your agent will be live at: https://stock-agent.your-subdomain.workers.dev

API Integration Details

Swarms API Agents

The stock agent uses two specialized AI agents:

  1. Technical Analyst Agent:
  2. Calculates technical indicators (RSI, MACD, Moving Averages)
  3. Identifies support/resistance levels
  4. Provides trading signals and price targets

  5. Fundamental Analyst Agent:

  6. Analyzes market conditions and sentiment
  7. Evaluates news and economic indicators
  8. Provides investment recommendations

Data Sources

  • Yahoo Finance API: Free real-time stock data (no API key required)
  • Financial Modeling Prep: Market news and additional data (free tier: 250 requests/day)
  • Mailgun: Email delivery service (free tier: 5,000 emails/month)

Features

Web Interface

  • Real-time status monitoring
  • Manual analysis triggers
  • Progress tracking with visual feedback
  • Analysis results display

Automated Execution

  • Scheduled cron job execution
  • Error handling and recovery
  • Cost tracking and monitoring
  • Email report generation

Production Ready

  • Comprehensive error handling
  • Timeout protection
  • Rate limiting compliance
  • Security best practices

Configuration Examples

Custom Stock Symbols

Edit the symbols array in src/index.js:

const symbols = ['SPY', 'QQQ', 'AAPL', 'MSFT', 'TSLA', 'NVDA', 'AMZN', 'GOOGL'];

Custom Swarms Agents

Modify the agent configuration:

const swarmConfig = {
  agents: [
    {
      agent_name: "Risk Assessment Agent",
      system_prompt: "Analyze portfolio risk and provide recommendations...",
      model_name: "gpt-4o-mini",
      max_tokens: 2000,  
      temperature: 0.1
    }
  ]
};

Cost Optimization

  • Cloudflare Workers: Free tier includes 100,000 requests/day
  • Swarms API: Monitor usage in dashboard, use gpt-4o-mini for cost efficiency
  • External APIs: Leverage free tiers and implement intelligent caching

Security & Best Practices

  • Store API keys as Cloudflare Workers secrets
  • Implement request validation and rate limiting
  • Audit AI decisions and maintain compliance logs
  • Use HTTPS for all external API calls

Monitoring & Observability

  • Cloudflare Workers analytics dashboard
  • Real-time performance metrics
  • Error tracking and alerting
  • Cost monitoring and optimization

Troubleshooting

Common Issues

  1. API Key Errors: Verify environment variables are set correctly
  2. Cron Not Triggering: Check cron syntax and Cloudflare Workers limits
  3. Email Not Sending: Verify Mailgun configuration and domain setup
  4. Data Fetch Failures: Check external API status and rate limits

Debug Mode

Enable detailed logging by setting:

console.log('Debug mode enabled');

Additional Resources