ShellOracle

ShellOracle is an innovative terminal utility designed for intelligent shell command generation, bringing a new level of efficiency to your command-line interactions. ShellOracle currently supports Ollama, LocalAI, and OpenAI!

Explore our dynamic features and look forward to more exciting updates by giving us a ⭐ and a 👀

Table of Contents

• Introduction
• Features
• Installation
• Usage
• Providers
• Configuration
• System Requirements
• Feedback

Introduction

Meet ShellOracle—a handy tool that makes working with the command line a bit smoother. This terminal utility lets you create shell commands by describing what you want to do in plain language. ShellOracle simplifies the process of crafting complex commands by removing the need to google and comb man pages.

Why ShellOracle?

• No More Memorizing: Forget about remembering complex shell commands. Just tell ShellOracle what you need, and it'll generate the command for you.

• Save Time, Stay Focused: Say goodbye to manual command crafting. ShellOracle helps you save time and concentrate on what really matters by using natural language descriptions.

• Adaptable to Your Needs: Whether it's a quick one-liner or a sequence of commands, ShellOracle is flexible. It supports Unix pipes and keeps track of your command history.

• Your Control, Your Way: Run ShellOracle as a self-hosted utility to have complete control. Tailor it to your preferences and make it work just the way you want.

Give it a try and see how it fits into your workflow!

Features

Key features of ShellOracle include:

• Seamless shell command generation from written descriptions
• Command history for easy reference
• Unix pipe support for advanced command chaining
• Self-hosted for full control over your environment
• Highly configurable to adapt to your preferences

Installation

Installing ShellOracle is easy!

1. Pip install the shelloracle package

   python3 -m pip install shelloracle
   

2. Configure ShellOracle with shelloracle configure and follow the prompts

   python3 -m shelloracle configure
   

3. Refer to the providers section for specific details regarding your chosen provider.

Usage

ShellOracle is designed to be used as a BASH/ZSH widget activated by the CTRL+F keyboard shortcut.

1. Press CTRL+F
2. Describe your command
3. Press Enter

The generated command will be inserted into your shell prompt after a brief processing period.

Providers

Ollama

Before using ShellOracle with Ollama, pull the model you chose in the configure step. For example, if you chose codellama:13b, run:

ollama pull codellama:13b

Refer to the Ollama docs for installation, available models, and usage.

OpenAI

To use ShellOracle with the OpenAI provider, create an API key. Edit your ~/.shelloracle/config.toml to change your provider and enter your API key.

LocalAI

Refer to the LocalAI docs for installation, available models, and usage.

Other ways to run ShellOracle

ShellOracle can be run as a Python module with python3 -m shelloracle or using its entrypoint shor; however, there are a few caveats with this method:

• Ensure your ~/.local/bin directory is added to your PATH variable for the entrypoint to work.
• Running ShellOracle with this method will not automatically insert the result into your shell prompt.

Tips

1. If you press CTRL+F with text in your ZLE buffer, all text left of your cursor will carry over to your ShellOracle prompt.
2. UP_ARROW and DOWN_ARROW cycle through your prompt history.
3. ShellOracle can be chained with other commands; try: echo "find all the python files in my cwd" | shor

Configuration

ShellOracle's configuration is your gateway to tailoring the utility to match your preferences and requirements. The ~/.shelloracle/config.toml file serves as the control center for customizing various aspects of ShellOracle's behavior.

System Requirements

Software

ShellOracle supports BASH and ZSH on macOS and Linux.

Hardware

For cloud providers like OpenAI, there are no specific system requirements.

If self-hosting, system requirements vary based on the model used. Refer to the Ollama model registry for more information.

Feedback

Encountered problems? File an issue. Feature requests are welcome, and contributions can be made by opening a pull request.