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# Running Swarms Agent in Phala TEE
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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.
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## 📋 Prerequisites
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- A Swarms Agent code repository (or docker image)
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- A Phala Cloud account
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- An OpenAI API key
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## 📝 Step-by-Step Guide
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Firstly, you need to register a [Phala Cloud](https://cloud.phala.network/) account before you can create a new Swarms agent application.
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### 1. ⚙️ Configure Your Environment
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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.
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```yaml
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services:
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swarms-agent-server:
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image: python:3.12-slim
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volumes:
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- swarms:/app
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restart: always
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environment:
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- OPENAI_API_KEY=${OPENAI_API_KEY}
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command: # Run swarms agent example
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- /bin/sh
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- -c
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- |
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# install dependencies
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apt update && apt install -y git python3-pip
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mkdir -p /app && cd /app
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git clone --depth 1 https://github.com/The-Swarm-Corporation/swarms-examples
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cd swarms-examples/
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pip install -r requirements.txt && pip install langchain-community langchain-core
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cd examples/agents/
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python o1_preview.py
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# keep container running
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sleep infinity
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volumes:
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swarms:
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```
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### 2. 🚀 Deploy Your Agent
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1. Navigate to the [Phala Cloud dashboard](https://cloud.phala.network/dashboard)
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2. Click `Deploy` button on the Phala Cloud dashboard.
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3. Choose `docker-compose.yaml` and then click `Advanced` tab to paste the content of your docker-compose.yaml file.
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4. Importantly, make sure to add the `OPENAI_API_KEY` in the `Encrypted Secrets` section with your own OpenAI API key.
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5. Click `Create` button to create a new Swarms agent application.
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<p align="center">
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<img src="../docs/swarms_cloud/imgs/01_create_agent_on_phala_cloud.png" alt="Creating a Swarms agent on Phala Cloud" style="width: 700px;">
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</p>
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### 3. 📊 Monitor Your Deployment
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1. Check the initialization logs of your agent
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<p align="center">
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<img src="../docs/swarms_cloud/imgs/02_serial_logs.png" alt="Agent initialization logs" style="width: 700px;">
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<img src="../docs/swarms_cloud/imgs/03_serial_logs.png" alt="Detailed initialization logs" style="width: 700px;">
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</p>
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2. Verify your container is running
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<p align="center">
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<img src="../docs/swarms_cloud/imgs/04_swarms_agent_containers.png" alt="Swarms Agent Container Status" style="width: 700px;">
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</p>
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3. Monitor your agent's output
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<p align="center">
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<img src="../docs/swarms_cloud/imgs/05_agent_output.png" alt="Swarms Agent Logs" style="width: 700px;">
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</p>
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### 4. ✅ Verify TEE Attestation
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Ensure your agent is running in a secure TEE environment by checking the attestation proof on the [TEE Attestation Explorer](https://proof.t16z.com/).
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<p align="center">
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<img src="../docs/swarms_cloud/imgs/06_attestation.png" alt="TEE Attestation Verification" style="width: 700px;">
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</p>
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## 🎉 Success!
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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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If you have any questions, please reach out to Phala on [Phala Cloud](https://cloud.phala.network/).
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@ -0,0 +1,27 @@
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services:
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swarms-agent-server:
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image: python:3.12-slim
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volumes:
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- swarms:/app
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restart: always
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environment:
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- OPENAI_API_KEY=${OPENAI_API_KEY}
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command: # Run swarms agent example
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- /bin/sh
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- -c
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- |
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# install dependencies
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apt update && apt install -y git python3-pip
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mkdir -p /app && cd /app
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git clone --depth 1 https://github.com/The-Swarm-Corporation/swarms-examples
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cd swarms-examples/
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pip install -r requirements.txt && pip install langchain-community langchain-core
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cd examples/agents/
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python o1_preview.py
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# keep container running
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sleep infinity
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volumes:
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swarms:
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