Prime Intellect CLI

Command line interface for managing Prime Intellect GPU resources, enabling seamless deployment and management of compute pods.

🚀 Quick Start

# Install from PyPI
pip install prime-cli

# Set up your API key
prime config set-api-key

# List available GPU resources
prime availability list

🔧 Features

• GPU Resource Management: Query and filter available GPU resources
• Pod Management: Create, monitor, and terminate compute pods
• SSH Access: Direct SSH access to running pods
• Team Support: Manage resources across team environments

📦 Installation

From PyPI

pip install prime-cli

For Development

# Clone the repository
git clone https://github.com/PrimeIntellect-ai/prime-cli
cd prime-cli

# Create and activate virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: .\venv\Scripts\activate

# Install in development mode
pip install -e ".[dev]"

# Set up pre-commit hooks
pre-commit install

🛠️ Usage

Configuration

# Set up API key
prime config set-api-key

# Configure SSH key for pod access
prime config set-ssh-key-path

# View current configuration
prime config view

GPU Resources

# List all available GPUs
prime availability list

# Filter by GPU type
prime availability list --gpu-type H100_80GB

# Show available GPU types
prime availability gpu-types

Pod Management

# List your pods
prime pods list

# Create a pod
prime pods create
prime pods create --id <ID>     # With specific GPU config
prime pods create --name my-pod # With custom name

# Monitor and manage pods
prime pods status <pod-id>
prime pods terminate <pod-id>
prime pods ssh <pod-id>

Team Management

# Set team context
prime config set-team-id

💻 Development

Code Quality

# Format code
ruff format src/prime_cli

# Run linter
ruff check src/prime_cli

# Run tests
pytest

Release Process

We use semantic versioning. Releases are automatically created when changes are merged to main.

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Run code quality checks

   ruff format .
   ruff check .
   pytest

4. Commit your changes (git commit -m 'Add amazing feature')
5. Push to the branch (git push origin feature/amazing-feature)
6. Open a Pull Request

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🔗 Links

• Documentation
• PyPI Package
• Issue Tracker