amazon-codewhisperer-jupyterlab-ext 2.0.1

Amazon CodeWhisperer for JupyterLab

Amazon CodeWhisperer for JupyterLab

Amazon CodeWhisperer is an AI coding companion which provides developers with real-time code suggestions in JupyterLab. Individual developers can use CodeWhisperer for free in JupyterLab and AWS SageMaker Studio.

Requirements

In order to use CodeWhisperer in JupyterLab, you must have a version of JupyterLab >= 4 installed. The previous major version of CodeWhisperer 1.x extension supports JupyterLab >= 3.5, <4. You will also need a free AWS Builder ID account to access CodeWhisperer. (You can set that up the first time you log in.)

In order to use CodeWhisperer in SageMaker Studio, you must have set up a SageMaker Studio notebook instance, along with an execution role with the appropriate IAM Permissions.

Getting Started

Install JupyterLab on your computer or if you already have JupyterLab installed, check it’s version by running the following command.

pip show jupyterlab

Note the version in the response, and follow the use the corresponding directions in one of the following sections.

Installation Using Pip for Jupyter Lab version >= 4.0

You can install and enable the CodeWhisperer extension for JupyterLab 4 with the following commands.

# JupyterLab 4
pip install amazon-codewhisperer-jupyterlab-ext

Installation Using Pip for Jupyter Lab version >= 3.6 and < 4.0

You can install and enable the CodeWhisperer 1.x extension for JupyterLab 3 with the following commands.

# JupyterLab 3
pip install amazon-codewhisperer-jupyterlab-ext~=1.0
jupyter server extension enable amazon_codewhisperer_jupyterlab_ext

Once installed, choose Start CodeWhisperer from the CodeWhisperer panel at the bottom of the window. This will enable to you log in to AWS Builder ID to access CodeWhisperer. Refer to Setting up CodeWhisperer with JupyterLab for detailed setup instructions.

SageMaker Studio

To setup the CodeWhisperer extension with a SageMaker Studio notebook instance, you must add IAM Permissions for codewhisperer:GenerateRecommendations for your user profile. Then you must install and enable the extension with the following commands.

conda activate studio
pip install amazon-codewhisperer-jupyterlab-ext~=1.0
jupyter server extension enable amazon_codewhisperer_jupyterlab_ext
conda deactivate
restart-jupyter-server

After you complete installation and refresh your browser, a CodeWhisperer panel will appear at the bottom of the window. Refer to Setting up CodeWhisperer with SageMaker Studio for detailed setup instructions.

Features

Code Completion

CodeWhisperer for JupyterLab provides AI powered suggestions as ghost text with the following default keybindings. These can be modified in the settings.

Action	Key Binding
Manually trigger CodeWhisperer	Alt C (Window) / ⌥ C (Mac)
Accept a recommendation	Tab
Next recommendation	Right arrow
Previous recommendation	Left arrow
Reject a recommendation	ESC

Python is the only supported programming language for now. Users can start or pause suggestions by toggling the menu item in the CodeWhisperer panel that will appear at the bottom of the window.

Code References

With the reference log, you can view references to code recommendations. You can also update and edit code recommendations suggested by CodeWhisperer.

To view Code References for accepted suggestions, choose Open Code Reference Log from the CodeWhisperer panel at the bottom of the window. Users can also turn off code suggestions with code references in Settings.

More Resources

• CodeWhisperer User Guide
• Setting up Amazon CodeWhisperer with JupyterLab
• Setting up CodeWhisperer with Amazon SageMaker Studio

Change Log

2.0.1

• Improved handling when Jupyter has no access to internet.
• Migrated network call to be made asynchronously.

2.0.0

• Initial release - Adoption of JupyterLab 4