Important Note: This project was created during a hackathon several months ago and is uploaded to GitHub for archival purposes. It is not actively maintained, and contributions may not be reviewed or merged. Please keep this in mind if you choose to fork or work with this codebase.
Open-source automation framework for code execution management
- Safe code execution in isolated environments
- AI-powered code generation with GPT-4 integration
- Conda environment management
- Response validation with Pydantic models
git clone https://github.com/yourusername/SystemAdmin.git
cd SystemAdmin
pip install -r requirements.txtfrom CodeExecutioner import execute_code_in_conda_env
# Example usage:
output = execute_code_in_conda_env(
env_name="my_env",
dependencies="pip install numpy",
code="print('Hello World!')"
)- Fork the repository
- Create your feature branch
- Commit your changes
- Push to the branch
- Open a Pull Request
MIT