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jupyterlab-codestral

Github Actions Status lite-badge

AI code completions and chat for JupyterLab, Notebook 7 and JupyterLite, powered by MistralAI ✨

a screencast showing the Codestral extension in JupyterLite

Requirements

  • JupyterLab >= 4.1.0 or Notebook >= 7.1.0

✨ Try it in your browser ✨

You can try the extension in your browser using JupyterLite:

lite-badge

See the Usage section below for more information on how to provide your API key.

Install

To install the extension, execute:

pip install jupyterlab-codestral

Usage

  1. Go to https://console.mistral.ai/api-keys/ and create an API key.

Screenshot showing how to create an API key

  1. Open the JupyterLab settings and go to the Codestral section to enter the API key

Screenshot showing how to add the API key to the settings

  1. Open the chat, or use the inline completer

Screenshot showing how to use the chat

Uninstall

To remove the extension, execute:

pip uninstall jupyterlab-codestral

Contributing

Development install

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_codestral 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 build

You 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 lab

With 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=False

Development uninstall

pip uninstall jupyterlab-codestral

In 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-codestral within that folder.

Packaging the extension

See RELEASE

Metadata

Release files for jupyterlab-codestral 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for jupyterlab-codestral 0.1.0
File Size Uploaded Provenance Actions
jupyterlab_codestral-0.1.0.tar.gz 465.6 kB Without provenance Details for jupyterlab_codestral-0.1.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for jupyterlab-codestral 0.1.0
File Interpreter ABI Platform Actions
jupyterlab_codestral-0.1.0-py3-none-any.whl Python 3 none any Details for jupyterlab_codestral-0.1.0-py3-none-any.whl

Total release size: 559.1 kB

Release files / jupyterlab_codestral-0.1.0.tar.gz

Download URL jupyterlab_codestral-0.1.0.tar.gz
Size 465.6 kB
Tags Source
SHA-256 checksum
How to use checksums
2eb30ecaf6d4091de8dc6a99899e70ac8c587d1257902c5f52a41117cdf1f2fe
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068b220b6358314d81a185a76b2c0a62f11feccbd390b4c68a5c9810cfca121e
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What is trusted publishing?
Yes
Uploaded via twine/5.1.0 CPython/3.11.9

Release files / jupyterlab_codestral-0.1.0-py3-none-any.whl

Download URL jupyterlab_codestral-0.1.0-py3-none-any.whl
Size 93.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
cb2c9688bbfba208658c0fbe57b4ce054476952c23eea22d75642d5fc4ffac72
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91006871f38e1e57c6f7592bcb58d7a6410f50c3be6f5fe8c36b689ca76f7391
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Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/5.1.0 CPython/3.11.9

Security for jupyterlab-codestral 0.1.0

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