Deploying Your First Agent

Before deploying an agent, you'll need:

• Python 3.10+ or Node.js 18+ (depending on the agent framework).
• API keys for the LLM provider (OpenAI, Anthropic, etc.) and any tools the agent uses.
• Environment: A local machine, server, or cloud instance to run the agent.

1. Download the agent from your Purchases page.
2. Extract the files to a project directory.
3. Install dependencies:
   • Python: pip install -r requirements.txt
   • Node.js: npm install
4. Configure environment variables: Copy .env.example to .env and fill in your API keys.
5. Run the agent:
   • Python: python main.py or python -m agent
   • Node.js: npm start or npx tsx agent.ts
6. Test: Most agents include example inputs or test scripts. Run them to verify everything works.

For production use, consider these deployment options:

• Cloud VMs: AWS EC2, Google Cloud, DigitalOcean — full control, pay per hour.
• Serverless: AWS Lambda, Vercel, Railway — auto-scaling, pay per execution.
• Docker: Most agents include a Dockerfile for containerized deployment.
• Local: For testing and personal use, running on your machine is fine.

Choose based on your usage patterns: serverless for intermittent tasks, VMs for always-on agents.