🐚 Baish

Natural Language to Bash Commands using Ollama

Baish is a simple, elegant terminal application that converts natural language instructions into bash/linux commands using a local Ollama instance. Say goodbye to googling command syntax!

✨ Features

• 🎨 Beautiful Terminal UI - Rich, colorful interface with panels and prompts
• 🔗 Ollama Integration - Works with any Ollama model locally
• ⚡ Dual Modes - Interactive mode or single command execution
• 🛡️ Safety First - Built-in checks for potentially dangerous commands
• 🚀 Real-time Execution - Live command output streaming
• 📝 Help System - Built-in help with -h and /help commands

🚀 Quick Start

Prerequisites

1. Python 3.8+ with uv package manager
2. Ollama installed and running locally
3. A model downloaded in Ollama (e.g., ollama pull llama3.2)

Installation

Option 1: From PyPI (Recommended)

pip install baish_assistant

Option 2: From Source

git clone https://github.com/tcsenpai/baish.git
cd baish
uv pip install -e .

Option 3: Direct Execution

git clone https://github.com/tcsenpai/baish.git
cd baish
uv pip install rich click python-dotenv requests
python main.py "show my ip address"

Configuration

Create a .env file in your project directory:

OLLAMA_URL=http://localhost:11434
OLLAMA_MODEL=llama3.2:latest

📖 Usage

Command Line Interface

# Single command mode
baish "show my ip address"
baish "list files in current directory"
baish "check disk usage"

# Interactive mode
baish -i

# Show help
baish -h

# Direct execution (without installation)
python main.py "find python files"
uv run python main.py -i

Interactive Mode

$ baish -i
┌─────────────────────────────────────────┐
│ 🐚 Baish - Natural Language to Bash    │
└─────────────────────────────────────────┘

What would you like to do? > show my ip address

🤔 Thinking...

┌─── Generated Command ───┐
│ ip addr show            │
└─────────────────────────┘

Execute this command? [Y/n]: y

────────────────────────────────────────────
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 65536...
2: eth0: <BROADCAST,MULTICAST,UP,LOWER_UP>...
────────────────────────────────────────────
✓ Command completed successfully

🎯 Examples

Natural Language	Generated Command
"show my ip address"	ip addr show
"list files in current directory"	ls -la
"check disk usage"	df -h
"find python files"	find . -name "*.py"
"stop nginx service"	sudo systemctl stop nginx
"show running processes"	ps aux
"check memory usage"	free -h
"show network connections"	netstat -tuln

🛡️ Safety Features

Baish includes built-in safety checks for potentially dangerous commands:

• Pattern Detection: Identifies risky commands like rm -rf /, format, shutdown, curl | sh
• User Confirmation: Always prompts before executing any command
• Command Preview: Shows exactly what will be executed in a highlighted panel
• Graceful Cancellation: Easy to cancel dangerous operations
• Debug Mode: Optional detailed logging for troubleshooting

Dangerous patterns detected:

• File system destruction (rm -rf /, format, mkfs)
• System control (shutdown, reboot, init)
• Privilege escalation risks (chmod 777, chown root)
• Remote execution (curl | sh, wget | sh)
• Fork bombs and system overload

⚙️ Configuration Options

Environment Variables

• OLLAMA_URL - Ollama server URL (default: http://localhost:11434)
• OLLAMA_MODEL - Model to use (default: llama3.2:latest)
• BASH_DEBUG - Enable debug logging (optional)

Advanced Configuration

# Use remote Ollama instance
OLLAMA_URL=http://192.168.1.100:11434

# Use a specific model variant
OLLAMA_MODEL=codellama:7b-instruct

# Enable debug output
BASH_DEBUG=1

Model Recommendations

• Fast & Efficient: llama3.2:latest, qwen2.5:7b, phi3:mini
• More Capable: llama3.1:8b, codellama:7b, qwen2.5:14b
• Lightweight: tinyllama:latest, phi3:mini
• Code-Focused: codellama:7b, deepseek-coder:6.7b

Note: Ensure your chosen model is installed in Ollama:

ollama pull llama3.2:latest

🏗️ Development

Setup Development Environment

git clone https://github.com/tcsenpai/baish.git
cd baish

# Copy and configure environment
cp .env.example .env
# Edit .env with your Ollama settings

# Install dependencies
uv pip install -e ".[dev]"

# Run tests
pytest

# Format code
black .
ruff check .

Project Structure

baish/
├── baish/
│   ├── __init__.py
│   └── main.py          # Package entry point
├── main.py              # Direct execution entry point
├── pyproject.toml       # Project configuration
├── .env                 # Configuration file
└── README.md           # This file

Running Tests

pytest

Code Formatting

black .
ruff check .

🤝 Contributing

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📄 License

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

🙏 Acknowledgments

• Ollama for the excellent local LLM platform
• Rich for the beautiful terminal UI
• Click for the CLI framework

📞 Support

• 🐛 Bug Reports: GitHub Issues
• 💡 Feature Requests: GitHub Discussions
• 📧 Email: [tcsenpai@discus.sh]

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Made with ❤️ by tcsenpai