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Using AI

What does AI assistance include?​

Notebook.link integrates jupyterlite-ai, an extension designed for Jupyterlab based applications, that enables AI-powered code completions and chat directly in the browser using a specified provider.

JupyterLite-ai provides access to tools tailored for the Jupyter environment, such as:

  • Notebook operations (creating files, adding/editing code, executing cells, etc.)
  • Kernel execution (running code snippets without creating a new notebook)
  • Jupyterlab commands (core and extension commands), allowing restrictions on certain actions—such as code execution—for security purposes.
note

Both the chat and code completion features require prior configuration. See AI Assistant for setup instructions.

JupyterLite AI settings​

JupyterLite-ai settings are available via the dedicated settings panel as shown in the following screencast:

  • Provider Management:
    • View and configure available providers
    • Set a default provider
  • Configure MCP servers
  • Behavior & Features:
    • Enable context-aware responses
    • Allow code execution capabilities
    • Permit AI to use tools (built-in tools are related to the use of commands) -UI/UX Adjustments:
    • Use Shift+Enter to send messages (Enter creates a new line)
    • Display token usage in the chat toolbar
  • Security & Commands:
    • Add/remove commands requiring approval
  • Prompt Customization:
    • Modify the System Prompt (defines AI behavior and response style)
    • Adjust the Completion System Prompt (guides AI-generated code)
  • Diff View Options:
    • Show diffs when AI modifies cell content or file content
    • Choose a diff display mogde: split or unified

Chat​

Once the AI add-on is configured, follow these steps:

  1. Load your project.
  2. Click the chat icon in the left sidebar to open AI chat panel.
  • First use: The default provider is selected automatically.
  • Subsequent uses: The last-used provider is retained (unless the browser cache is cleared).
  • Switching providers: Use JupyterLite AI settings panel.

The video below demonstrates how to create and execute a notebook using the chat feature:

Code completion​

The following video showcases an example of AI-assisted code completion: