A set of commands for AI in JupyterLab
- JupyterLab >= 4.0.0
To install the extension, execute:
pip install jupyterlab-ai-commandsTo remove the extension, execute:
pip uninstall jupyterlab-ai-commandsThis extension provides the following commands for AI-assisted interactions with JupyterLab:
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jupyterlab-ai-commands:create-file- Create a new file of specified type (text, python, markdown, json, etc.)- Arguments:
fileName(string): Name of the file to createfileType(string): Type of file to create (e.g., text, python, markdown, json, javascript, typescript, yaml, julia, r, csv)content(string, optional): Initial content for the filecwd(string, optional): Directory where to create the file
- Arguments:
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jupyterlab-ai-commands:open-file- Open a file in the editor- Arguments:
filePath(string): Path to the file to open
- Arguments:
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jupyterlab-ai-commands:delete-file- Delete a file from the file system- Arguments:
filePath(string): Path to the file to delete
- Arguments:
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jupyterlab-ai-commands:rename-file- Rename a file or move it to a different location- Arguments:
oldPath(string): Current path of the filenewPath(string): New path/name for the file
- Arguments:
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jupyterlab-ai-commands:copy-file- Copy a file to a new location- Arguments:
sourcePath(string): Path of the file to copydestinationPath(string): Destination path for the copied file
- Arguments:
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jupyterlab-ai-commands:navigate-to-directory- Navigate to a specific directory in the file browser- Arguments:
directoryPath(string): Path to the directory to navigate to
- Arguments:
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jupyterlab-ai-commands:list-directory- List files and directories in a specific directory- Arguments:
directoryPath(string, optional): Path to the directory to list. If not provided, lists the root directoryincludeHidden(boolean, optional): Whether to include hidden files (default: false)
- Arguments:
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jupyterlab-ai-commands:get-file-info- Get information about a file including its path, name, extension, and content- Arguments:
filePath(string, optional): Path to the file to read. If not provided, uses the currently active file in the editor
- Arguments:
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jupyterlab-ai-commands:set-file-content- Set or update the content of an existing file- Arguments:
filePath(string): Path to the file to updatecontent(string): The new content to set for the filesave(boolean, optional): Whether to save the file after updating (default: true)showDiff(boolean, optional): Whether to show a diff view of the changes (default: true)
- Arguments:
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jupyterlab-ai-commands:create-notebook- Create a new Jupyter notebook with a kernel for the specified programming language- Arguments:
language(string, optional): The programming language for the notebook (e.g., python, r, julia, javascript, etc.). Will use system default if not specifiedname(string): Name for the notebook file (without .ipynb extension)
- Arguments:
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jupyterlab-ai-commands:add-cell- Add a cell to the current notebook with optional content- Arguments:
notebookPath(string, optional): Path to the notebook file. If not provided, uses the currently active notebookcontent(string, optional): Content to add to the cellcellType(string, optional): Type of cell to add - "code", "markdown", or "raw" (default: "code")position(string, optional): Position relative to current cell - "above" or "below" (default: "below")
- Arguments:
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jupyterlab-ai-commands:get-notebook-info- Get information about a notebook including number of cells and active cell index- Arguments:
notebookPath(string, optional): Path to the notebook file. If not provided, uses the currently active notebook
- Arguments:
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jupyterlab-ai-commands:get-cell-info- Get information about a specific cell including its type, source content, and outputs- Arguments:
notebookPath(string, optional): Path to the notebook file. If not provided, uses the currently active notebookcellIndex(number, optional): Index of the cell to get information for (0-based). If not provided, uses the currently active cell
- Arguments:
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jupyterlab-ai-commands:set-cell-content- Set the content of a specific cell- Arguments:
notebookPath(string, optional): Path to the notebook file. If not provided, uses the currently active notebookcellId(string, optional): ID of the cell to modify. If provided, takes precedence over cellIndexcellIndex(number, optional): Index of the cell to modify (0-based). Used if cellId is not provided. If neither is provided, targets the active cellcontent(string): New content for the cellshowDiff(boolean, optional): Whether to show a diff view of the changes (default: true)
- Arguments:
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jupyterlab-ai-commands:run-cell- Run a specific cell in the notebook by index- Arguments:
notebookPath(string, optional): Path to the notebook file. If not provided, uses the currently active notebookcellIndex(number): Index of the cell to run (0-based)recordTiming(boolean, optional): Whether to record execution timing (default: true)
- Arguments:
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jupyterlab-ai-commands:delete-cell- Delete a specific cell from the notebook by index- Arguments:
notebookPath(string, optional): Path to the notebook file. If not provided, uses the currently active notebookcellIndex(number): Index of the cell to delete (0-based)
- Arguments:
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jupyterlab-ai-commands:save-notebook- Save a specific notebook to disk- Arguments:
notebookPath(string, optional): Path to the notebook file. If not provided, uses the currently active notebook
- Arguments:
Note: You will need NodeJS to build the extension package.
The jlpm command is JupyterLab's pinned version of
yarn that is installed with JupyterLab. You may use
yarn or npm in lieu of jlpm below.
# Clone the repo to your local environment
# Change directory to the jupyterlab_ai_commands directory
# Install package in development mode
pip install -e "."
# Link your development version of the extension with JupyterLab
jupyter labextension develop . --overwrite
# Rebuild extension Typescript source after making changes
jlpm buildYou can watch the source directory and run JupyterLab at the same time in different terminals to watch for changes in the extension's source and automatically rebuild the extension.
# Watch the source directory in one terminal, automatically rebuilding when needed
jlpm watch
# Run JupyterLab in another terminal
jupyter labWith the watch command running, every saved change will immediately be built locally and available in your running JupyterLab. Refresh JupyterLab to load the change in your browser (you may need to wait several seconds for the extension to be rebuilt).
By default, the jlpm build command generates the source maps for this extension to make it easier to debug using the browser dev tools. To also generate source maps for the JupyterLab core extensions, you can run the following command:
jupyter lab build --minimize=Falsepip uninstall jupyterlab_ai_commandsIn development mode, you will also need to remove the symlink created by jupyter labextension develop
command. To find its location, you can run jupyter labextension list to figure out where the labextensions
folder is located. Then you can remove the symlink named jupyterlab-ai-commands within that folder.
This extension uses Playwright for the integration tests (aka user level tests). More precisely, the JupyterLab helper Galata is used to handle testing the extension in JupyterLab.
More information are provided within the ui-tests README.
See RELEASE