Chapyter

Adds a `%%chat` magic command that embeds AI code generation directly into JupyterLab cells, enabling seamless natural language programming without switching tools, as described in the quick start.

Uses the --history flag to leverage previous code and outputs for more accurate generation, demonstrated in the IRIS dataset visualization example for improved relevance.

Provides full access to AI prompts in programs.py and supports customization of models and API types, giving developers control over AI interactions, as noted in the examples.

Relies on OpenAI API with data usage policies that prevent training on user data, addressing privacy concerns compared to tools like Copilot, highlighted in the privacy section.