| Name | prime-cli JSON |
| Version |
0.3.1
JSON |
| download |
| home_page | None |
| Summary | Prime Intellect CLI |
| upload_time | 2025-08-01 20:35:50 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | <3.13,>=3.11 |
| license | None |
| keywords |
cli
cloud
compute
gpu
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Prime Intellect CLI
<div align="center">
[](https://pypi.org/project/prime-cli/)
[](https://pypi.org/project/prime-cli/)
[](https://pypi.org/project/prime-cli/)
Command line interface for managing Prime Intellect resources and environments.
</div>
## 🚀 Quick Start
```bash
# Install uv (if not already installed)
curl -LsSf https://astral.sh/uv/install.sh | sh
# Install prime-cli with uv
uv tool install prime-cli
# Authenticate
prime login
# 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
### Recommended: Using uv
```bash
# Install uv if you haven't already
curl -LsSf https://astral.sh/uv/install.sh | sh
# Install prime-cli
uv tool install prime-cli
```
### Alternative: Using pip
```bash
# If you prefer traditional pip
pip install prime-cli
```
### For Development
```bash
# Clone the repository
git clone https://github.com/PrimeIntellect-ai/prime-cli
cd prime-cli
# Create virtual environment with uv
uv venv
# Install in development mode with all dependencies
uv pip install -e ".[dev]"
# Set up pre-commit hooks
pre-commit install
```
## 🛠️ Usage
### Configuration
```bash
# 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
```bash
# 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
```bash
# 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
```bash
# Set team context
prime config set-team-id
```
### Working Without uv
While we recommend using uv for the best experience, all commands work with standard pip:
```bash
# Install without uv
pip install prime-cli
# Development setup without uv
python -m venv .venv
source .venv/bin/activate
pip install -e ".[dev]"
```
Note: Without uv, operations will be slower and you'll need to manage virtual environments manually.
## 💻 Development
### Prerequisites
- Python 3.11+
- uv (recommended): `curl -LsSf https://astral.sh/uv/install.sh | sh`
### Setup
```bash
# Clone and setup with uv
git clone https://github.com/PrimeIntellect-ai/prime-cli
cd prime-cli
uv venv
uv pip install -e ".[dev]"
# Run code quality checks
uv run ruff format src/prime_cli
uv run ruff check src/prime_cli
uv run mypy src/prime_cli
uv run pytest
```
### Code Quality
```bash
# Format code
uv run ruff format src/prime_cli
# Run linter
uv run ruff check src/prime_cli
# Run tests
uv run pytest
# Or if you have the venv activated:
ruff format src/prime_cli
ruff check src/prime_cli
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. Set up development environment with uv:
```bash
uv venv
uv pip install -e ".[dev]"
pre-commit install
```
4. Run code quality checks:
```bash
uv run ruff format .
uv run ruff check .
uv run pytest
```
5. Commit your changes (`git commit -m 'Add amazing feature'`)
6. Push to the branch (`git push origin feature/amazing-feature`)
7. Open a Pull Request
## 📝 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## 🔗 Links
- [Documentation](https://docs.primeintellect.ai)
- [PyPI Package](https://pypi.org/project/prime-cli/)
- [Issue Tracker](https://github.com/PrimeIntellect-ai/prime-cli/issues)
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"description": "# Prime Intellect CLI\n\n<div align=\"center\">\n\n[](https://pypi.org/project/prime-cli/)\n[](https://pypi.org/project/prime-cli/)\n[](https://pypi.org/project/prime-cli/)\n\nCommand line interface for managing Prime Intellect resources and environments.\n</div>\n\n## \ud83d\ude80 Quick Start\n\n```bash\n# Install uv (if not already installed)\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Install prime-cli with uv\nuv tool install prime-cli\n\n# Authenticate \nprime login \n\n# List available GPU resources\nprime availability list\n```\n\n## \ud83d\udd27 Features\n\n- **GPU Resource Management**: Query and filter available GPU resources\n- **Pod Management**: Create, monitor, and terminate compute pods\n- **SSH Access**: Direct SSH access to running pods\n- **Team Support**: Manage resources across team environments\n\n## \ud83d\udce6 Installation\n\n### Recommended: Using uv\n```bash\n# Install uv if you haven't already\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n\n# Install prime-cli\nuv tool install prime-cli\n```\n\n### Alternative: Using pip\n```bash\n# If you prefer traditional pip\npip install prime-cli\n```\n\n### For Development\n```bash\n# Clone the repository\ngit clone https://github.com/PrimeIntellect-ai/prime-cli\ncd prime-cli\n\n# Create virtual environment with uv\nuv venv\n\n# Install in development mode with all dependencies\nuv pip install -e \".[dev]\"\n\n# Set up pre-commit hooks\npre-commit install\n```\n\n## \ud83d\udee0\ufe0f Usage\n\n### Configuration\n```bash\n# Set up API key\nprime config set-api-key\n\n# Configure SSH key for pod access\nprime config set-ssh-key-path\n\n# View current configuration\nprime config view\n```\n\n### GPU Resources\n```bash\n# List all available GPUs\nprime availability list\n\n# Filter by GPU type\nprime availability list --gpu-type H100_80GB\n\n# Show available GPU types\nprime availability gpu-types\n```\n\n### Pod Management\n```bash\n# List your pods\nprime pods list\n\n# Create a pod\nprime pods create\nprime pods create --id <ID> # With specific GPU config\nprime pods create --name my-pod # With custom name\n\n# Monitor and manage pods\nprime pods status <pod-id>\nprime pods terminate <pod-id>\nprime pods ssh <pod-id>\n```\n\n### Team Management\n```bash\n# Set team context\nprime config set-team-id\n```\n\n### Working Without uv\n\nWhile we recommend using uv for the best experience, all commands work with standard pip:\n\n```bash\n# Install without uv\npip install prime-cli\n\n# Development setup without uv\npython -m venv .venv\nsource .venv/bin/activate\npip install -e \".[dev]\"\n```\n\nNote: Without uv, operations will be slower and you'll need to manage virtual environments manually.\n\n## \ud83d\udcbb Development\n\n### Prerequisites\n- Python 3.11+\n- uv (recommended): `curl -LsSf https://astral.sh/uv/install.sh | sh`\n\n### Setup\n```bash\n# Clone and setup with uv\ngit clone https://github.com/PrimeIntellect-ai/prime-cli\ncd prime-cli\nuv venv\nuv pip install -e \".[dev]\"\n\n# Run code quality checks\nuv run ruff format src/prime_cli\nuv run ruff check src/prime_cli\nuv run mypy src/prime_cli\nuv run pytest\n```\n\n### Code Quality\n```bash\n# Format code\nuv run ruff format src/prime_cli\n\n# Run linter\nuv run ruff check src/prime_cli\n\n# Run tests\nuv run pytest\n\n# Or if you have the venv activated:\nruff format src/prime_cli\nruff check src/prime_cli\npytest\n```\n\n### Release Process\nWe use semantic versioning. Releases are automatically created when changes are merged to main.\n\n## \ud83e\udd1d Contributing\n\n1. Fork the repository\n2. Create your feature branch (`git checkout -b feature/amazing-feature`)\n3. Set up development environment with uv:\n ```bash\n uv venv\n uv pip install -e \".[dev]\"\n pre-commit install\n ```\n4. Run code quality checks:\n ```bash\n uv run ruff format .\n uv run ruff check .\n uv run pytest\n ```\n5. Commit your changes (`git commit -m 'Add amazing feature'`)\n6. Push to the branch (`git push origin feature/amazing-feature`)\n7. Open a Pull Request\n\n## \ud83d\udcdd License\n\nThis project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.\n\n## \ud83d\udd17 Links\n\n- [Documentation](https://docs.primeintellect.ai)\n- [PyPI Package](https://pypi.org/project/prime-cli/)\n- [Issue Tracker](https://github.com/PrimeIntellect-ai/prime-cli/issues)",
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