Phala Deployment Template

Swarms 1-Click Template on Phala Cloud

[](https://cloud.phala.network/templates/mcp-swarms-agent)

🚀 Quick Start

# Clone the repository
git clone https://github.com/The-Swarm-Corporation/Phala-Deployment-Template

# Install requirements
pip3 install -r requirements.txt

# Set your task in the .env file or pass it in the yaml file on the bottom `task:`
export WORKSPACE_DIR="agent_workspace" 
export OPENAI_API_KEY=""
export OPENAI_API_BASE=""
export MODEL_NAME=""

# Run the swarm
python3 main.py

🛡️ 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

Firstly, you need to register a [Phala Cloud](https://cloud.phala.network/) account before you can create a new Swarms agent application.

1. ⚙️ Configure Your Environment

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

services:
  swarms-agent-server:
    image: 0xii/swarms-template:0.0.1
    volumes:
      - swarms:/app
    restart: always
    environment:
      - OPENAI_API_KEY=${OPENAI_API_KEY}
      - OPENAI_API_BASE=${OPENAI_API_BASE}
      - MODEL_NAME=${MODEL_NAME}

volumes:
  swarms:

2. 🚀 Deploy Your Agent

1. Navigate to the Phala Cloud dashboard
2. Click Deploy button on the Phala Cloud dashboard.
3. Choose docker-compose.yaml and then click Advanced tab to paste the content of your docker-compose.yaml file.
4. Importantly, make sure to add the OPENAI_API_KEY in the Encrypted Secrets section with your own OpenAI API key.