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Running Swarms Agent in Phala TEE

Welcome! This guide will walk you through running your Swarms Agent in a Trusted Execution Environment (TEE) using Phala Cloud. This setup ensures your agent runs in a secure, isolated environment.

📋 Prerequisites

A Swarms Agent code repository (or docker image)
A Phala Cloud account
An OpenAI API key

📝 Step-by-Step Guide

1. ⚙️ Configure Your Environment

First, prepare your docker-compose.yaml file. You can find an example in docker-compose.yaml. Make sure to have your OpenAI API key ready.

services:
  swarms-agent-server:
    image: python:3.12-slim
    volumes:
      - swarms:/app
    restart: always
    environment:
      - OPENAI_API_KEY=${OPENAI_API_KEY}
    command: # Run swarms agent example
      - /bin/sh
      - -c
      - |
        # install dependencies
        apt update && apt install -y git python3-pip
        mkdir -p /app && cd /app

        git clone --depth 1 https://github.com/The-Swarm-Corporation/swarms-examples
        cd swarms-examples/
        pip install -r requirements.txt && pip install langchain-community langchain-core
        cd examples/agents/
        python o1_preview.py

        # keep container running
        sleep infinity        

volumes:
  swarms:

2. 🚀 Deploy Your Agent

Navigate to the Phala Cloud dashboard
Create a new Swarms agent application

3. 📊 Monitor Your Deployment

Check the initialization logs of your agent
Verify your container is running
Monitor your agent's output

4. ✅ Verify TEE Attestation

Ensure your agent is running in a secure TEE environment by checking the attestation proof on the TEE Attestation Explorer.

🎉 Success!

You've successfully deployed your Swarms Agent in a secure TEE environment using Phala Cloud. Your agent is now running in an isolated, trusted execution environment, ensuring enhanced security for your AI operations.

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