This project provides custom plugins for GPT-4 and GPT-3.5-Turbo, enabling them to interact with a user's command line through an easy-to-use web application interface. It targets developers and power users looking to extend the capabilities of large language models beyond text generation, allowing for actions like web searches, file manipulation, and script execution.

How It Works

The core approach involves creating a flexible plugin system that grants LLMs access to a command-line interface (CLI). Users can define available commands, their usage, and execution methods within an editable knowledge base. This allows GPT models to dynamically select and execute CLI commands, effectively extending their functionality to interact with the internet, APIs, and local applications, with manual command approval by default for safety.

Quick Start & Requirements

• Install: pip install -r requirements.txt
• Run: streamlit run app.py
• Prerequisites: Replicate API token (for vision plugin, add to plugins/blip2.py).

Highlighted Details

• Integrates computer vision via BLIP-2 through the Replicate API.
• Enables file read/write operations and Python script execution.
• Features an editable knowledge base for defining LLM command access.
• Includes a web app interface for user interaction.

Maintenance & Community

No specific contributors, sponsorships, or community links (Discord/Slack, roadmap) are mentioned in the README.

Licensing & Compatibility

The README does not specify a license. Compatibility for commercial use or closed-source linking is not detailed.

Limitations & Caveats

The project is in an early stage, with planned improvements for command syntax parsing and token management. The vision plugin requires a Replicate API token. Windows users are advised to use the HuggingFace deployment.