This project provides an interactive Jupyter Notebook environment for users to experiment with OpenAI's Instruct API. It's designed for developers and researchers looking to quickly prototype and test prompt engineering strategies with GPT-3, offering a streamlined way to interact with the API and visualize results.

How It Works

The sandbox utilizes Jupyter Notebooks and IPython Widgets to create a user-friendly interface for prompt input and API interaction. It integrates SQLAlchemy for executing SQL queries, enabling users to test data-driven prompts and analyze the generated outputs directly within the notebook environment.

Quick Start & Requirements

• Install via pip install -r requirements.txt.
• Requires Python 3.x and an OpenAI API key.
• Official documentation and examples are available in the repository.

Highlighted Details

• Interactive UI powered by IPython Widgets for prompt input.
• Integration with SQLAlchemy for SQL code execution.
• Demonstrates usage of OpenAI's Instruct API.

Maintenance & Community

This project appears to be a personal or small-scale effort, with no explicit mention of active maintenance, community channels, or notable contributors.

Licensing & Compatibility

The repository does not explicitly state a license. Users should assume all rights are reserved or contact the author for clarification. Commercial use and linking with closed-source projects are not addressed.

Limitations & Caveats

The project is based on OpenAI's Instruct API, which was in beta at the time of its creation and may have undergone changes. The sandbox's functionality is tied to the specific API endpoints and features available at that time.