Name | prime JSON |
Version |
0.3.20
JSON |
| download |
home_page | None |
Summary | Prime Intellect CLI + SDK |
upload_time | 2025-08-24 12:12:54 |
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.
|
<p align="center">
<picture>
<source media="(prefers-color-scheme: light)" srcset="https://github.com/user-attachments/assets/40c36e38-c5bd-4c5a-9cb3-f7b902cd155d">
<source media="(prefers-color-scheme: dark)" srcset="https://github.com/user-attachments/assets/6414bc9b-126b-41ca-9307-9e982430cde8">
<img alt="Prime Intellect" src="https://github.com/user-attachments/assets/6414bc9b-126b-41ca-9307-9e982430cde8" width="312" style="max-width: 100%;">
</picture>
</p>
---
<h3 align="center">
Prime Intellect CLI
</h3>
---
<div align="center">
[](https://pypi.org/project/prime/)
[](https://pypi.org/project/prime/)
[](https://pypi.org/project/prime/)
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 with uv
uv tool install prime
# 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
uv tool install prime
```
### Alternative: Using pip
```bash
# If you prefer traditional pip
pip install prime
```
### 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
#### API Key Setup (Multiple Options)
```bash
# Option 1: Interactive mode (recommended - hides input)
prime config set-api-key
# Option 2: Non-interactive mode (for automation)
prime config set-api-key YOUR_API_KEY
# Option 3: Environment variable (most secure for scripts)
export PRIME_API_KEY="your-api-key-here"
```
#### Other Configuration
```bash
# Configure SSH key for pod access
prime config set-ssh-key-path
# Set base URL (interactive or non-interactive)
prime config set-base-url
prime config set-base-url https://api.primeintellect.ai
# Set frontend URL (interactive or non-interactive)
prime config set-frontend-url
prime config set-frontend-url https://app.primeintellect.ai
# View current configuration
prime config view
```
**Security Note**: When using the non-interactive mode, be aware that the API key may be visible in your shell history. For enhanced security:
- Use the interactive mode (no arguments) which hides your input
- Use environment variables (`PRIME_API_KEY`) as fallback if no CLI config is set
- Clear your shell history after setting sensitive values
**Configuration Priority**: CLI config takes precedence over environment variables. If you set an API key via `prime auth login`, it will override any `PRIME_API_KEY` environment variable.
### Environment Management
```bash
# Save current config as an environment (includes API key)
prime config save develop
# Switch between environments
prime config use production
prime config use develop
# List available environments
prime config envs
```
### 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
# 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.
## 🔐 Security Best Practices
### API Key Management
1. **Never commit API keys to version control**
2. **Use environment variables for automation**:
```bash
export PRIME_API_KEY="your-api-key-here"
prime pods list # Will use the environment variable
```
3. **Use interactive mode for one-time setup**:
```bash
prime config set-api-key # Prompts securely without showing input
```
4. **For CI/CD pipelines**, use secrets management:
- GitHub Actions: Use repository secrets
- GitLab CI: Use CI/CD variables
- Jenkins: Use credentials plugin
### Secure Storage
- API keys are stored in `~/.prime/config.json` with user-only permissions
- Environment variables take precedence over stored configuration
- Consider using a password manager for long-term API key storage
## 💻 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. Set up your development environment:
```bash
# Save your local development config
prime config set-base-url http://localhost:8000
prime config set-frontend-url http://localhost:3000
prime config save local
# Switch between environments as needed
prime config use local # For development
prime config use production # For testing against prod
```
5. Run code quality checks:
```bash
uv run ruff format .
uv run ruff check .
uv run pytest
```
6. Commit your changes (`git commit -m 'Add amazing feature'`)
7. Push to the branch (`git push origin feature/amazing-feature`)
8. 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/)
- [Issue Tracker](https://github.com/PrimeIntellect-ai/prime-cli/issues)
Raw data
{
"_id": null,
"home_page": null,
"name": "prime",
"maintainer": null,
"docs_url": null,
"requires_python": "<3.13,>=3.11",
"maintainer_email": null,
"keywords": "cli, cloud, compute, gpu",
"author": null,
"author_email": "Prime Intellect <contact@primeintellect.ai>",
"download_url": "https://files.pythonhosted.org/packages/34/13/37f3a5498256c6131c60ae88b5c332bc66a8af923c6edd23842dd8397124/prime-0.3.20.tar.gz",
"platform": null,
"description": "<p align=\"center\">\n <picture>\n <source media=\"(prefers-color-scheme: light)\" srcset=\"https://github.com/user-attachments/assets/40c36e38-c5bd-4c5a-9cb3-f7b902cd155d\">\n <source media=\"(prefers-color-scheme: dark)\" srcset=\"https://github.com/user-attachments/assets/6414bc9b-126b-41ca-9307-9e982430cde8\">\n <img alt=\"Prime Intellect\" src=\"https://github.com/user-attachments/assets/6414bc9b-126b-41ca-9307-9e982430cde8\" width=\"312\" style=\"max-width: 100%;\">\n </picture>\n</p>\n\n---\n\n<h3 align=\"center\">\nPrime Intellect CLI\n</h3>\n\n---\n\n<div align=\"center\">\n\n[](https://pypi.org/project/prime/)\n[](https://pypi.org/project/prime/)\n[](https://pypi.org/project/prime/)\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 with uv\nuv tool install prime\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\nuv tool install prime\n```\n\n### Alternative: Using pip\n```bash\n# If you prefer traditional pip\npip install prime\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\n#### API Key Setup (Multiple Options)\n\n```bash\n# Option 1: Interactive mode (recommended - hides input)\nprime config set-api-key\n\n# Option 2: Non-interactive mode (for automation)\nprime config set-api-key YOUR_API_KEY\n\n# Option 3: Environment variable (most secure for scripts)\nexport PRIME_API_KEY=\"your-api-key-here\"\n```\n\n#### Other Configuration\n```bash\n# Configure SSH key for pod access\nprime config set-ssh-key-path\n\n# Set base URL (interactive or non-interactive)\nprime config set-base-url\nprime config set-base-url https://api.primeintellect.ai\n\n# Set frontend URL (interactive or non-interactive) \nprime config set-frontend-url\nprime config set-frontend-url https://app.primeintellect.ai\n\n# View current configuration\nprime config view\n```\n\n**Security Note**: When using the non-interactive mode, be aware that the API key may be visible in your shell history. For enhanced security:\n- Use the interactive mode (no arguments) which hides your input\n- Use environment variables (`PRIME_API_KEY`) as fallback if no CLI config is set\n- Clear your shell history after setting sensitive values\n\n**Configuration Priority**: CLI config takes precedence over environment variables. If you set an API key via `prime auth login`, it will override any `PRIME_API_KEY` environment variable.\n\n### Environment Management\n```bash\n# Save current config as an environment (includes API key)\nprime config save develop\n\n# Switch between environments\nprime config use production\nprime config use develop\n\n# List available environments\nprime config envs\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\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\udd10 Security Best Practices\n\n### API Key Management\n1. **Never commit API keys to version control**\n2. **Use environment variables for automation**:\n ```bash\n export PRIME_API_KEY=\"your-api-key-here\"\n prime pods list # Will use the environment variable\n ```\n3. **Use interactive mode for one-time setup**:\n ```bash\n prime config set-api-key # Prompts securely without showing input\n ```\n4. **For CI/CD pipelines**, use secrets management:\n - GitHub Actions: Use repository secrets\n - GitLab CI: Use CI/CD variables\n - Jenkins: Use credentials plugin\n\n### Secure Storage\n- API keys are stored in `~/.prime/config.json` with user-only permissions\n- Environment variables take precedence over stored configuration\n- Consider using a password manager for long-term API key storage\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. Set up your development environment:\n ```bash\n # Save your local development config\n prime config set-base-url http://localhost:8000\n prime config set-frontend-url http://localhost:3000\n prime config save local\n \n # Switch between environments as needed\n prime config use local # For development\n prime config use production # For testing against prod\n ```\n5. Run code quality checks:\n ```bash\n uv run ruff format .\n uv run ruff check .\n uv run pytest\n ```\n6. Commit your changes (`git commit -m 'Add amazing feature'`)\n7. Push to the branch (`git push origin feature/amazing-feature`)\n8. 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/)\n- [Issue Tracker](https://github.com/PrimeIntellect-ai/prime-cli/issues)\n",
"bugtrack_url": null,
"license": null,
"summary": "Prime Intellect CLI + SDK",
"version": "0.3.20",
"project_urls": {
"Changelog": "https://github.com/PrimeIntellect-ai/prime-cli/blob/main/CHANGELOG.md",
"Documentation": "https://github.com/PrimeIntellect-ai/prime-cli#readme",
"Homepage": "https://github.com/PrimeIntellect-ai/prime-cli",
"Repository": "https://github.com/PrimeIntellect-ai/prime-cli.git"
},
"split_keywords": [
"cli",
" cloud",
" compute",
" gpu"
],
"urls": [
{
"comment_text": null,
"digests": {
"blake2b_256": "383d797216804f32129aca36c90fe64cddd386eba80b7ed904b03f02a6e4146e",
"md5": "68045252eb93e1014010678b3bf4d54c",
"sha256": "8f71195fe2f59c86617c5d355f02449480ca9c937b7778e14a176575219e75ae"
},
"downloads": -1,
"filename": "prime-0.3.20-py3-none-any.whl",
"has_sig": false,
"md5_digest": "68045252eb93e1014010678b3bf4d54c",
"packagetype": "bdist_wheel",
"python_version": "py3",
"requires_python": "<3.13,>=3.11",
"size": 43157,
"upload_time": "2025-08-24T12:12:53",
"upload_time_iso_8601": "2025-08-24T12:12:53.697425Z",
"url": "https://files.pythonhosted.org/packages/38/3d/797216804f32129aca36c90fe64cddd386eba80b7ed904b03f02a6e4146e/prime-0.3.20-py3-none-any.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": null,
"digests": {
"blake2b_256": "341337f3a5498256c6131c60ae88b5c332bc66a8af923c6edd23842dd8397124",
"md5": "a49076cd686b761b6c74d95f9f11a0f7",
"sha256": "d8525cd123e1c8eb2ad42fe14f44079e2182bc4be80bf5e79433a8112d79369c"
},
"downloads": -1,
"filename": "prime-0.3.20.tar.gz",
"has_sig": false,
"md5_digest": "a49076cd686b761b6c74d95f9f11a0f7",
"packagetype": "sdist",
"python_version": "source",
"requires_python": "<3.13,>=3.11",
"size": 110908,
"upload_time": "2025-08-24T12:12:54",
"upload_time_iso_8601": "2025-08-24T12:12:54.908995Z",
"url": "https://files.pythonhosted.org/packages/34/13/37f3a5498256c6131c60ae88b5c332bc66a8af923c6edd23842dd8397124/prime-0.3.20.tar.gz",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-08-24 12:12:54",
"github": true,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"github_user": "PrimeIntellect-ai",
"github_project": "prime-cli",
"travis_ci": false,
"coveralls": false,
"github_actions": true,
"lcname": "prime"
}