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llm_complete

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A JupyterLab extension that let's you ask Claude to write python code directly into cells in your Jupyter notebook.

Add your API key in settings (you may need to refresh the page after the first time you do this).

Put instructions in comments, and type Ctl-Shift-Enter to generate.

Requirements

  • JupyterLab >= 4.0.0

Install

To install the extension, execute:

pip install llm_complete

Uninstall

To remove the extension, execute:

pip uninstall llm_complete

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 llm_complete 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 llm_complete

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 llm_complete within that folder.

Packaging the extension

See RELEASE

Metadata

Release files for llm-complete 0.1.4

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

Source distribution (sdist)

Source distribution for llm-complete 0.1.4
File Size Uploaded Provenance
llm_complete-0.1.4.tar.gz 5.7 MB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for llm-complete 0.1.4
File Interpreter ABI Platform
llm_complete-0.1.4-py3-none-any.whl Python 3 none any Details

Total release size: 5.7 MB

Release files / llm_complete-0.1.4.tar.gz

Download URL llm_complete-0.1.4.tar.gz
Size 5.7 MB
Tags Source
SHA-256 checksum
How to use checksums
8c2806863df2826b9fc77f386c7121b367f7edf217332f873aa6d8c03087e9af
BLAKE2b-256 checksum
How to use checksums
a7dc3c6843c2a0100419389f109b8f7db815800b655ba3f5fffdf67d6d4699c1
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.12

Release files / llm_complete-0.1.4-py3-none-any.whl

Download URL llm_complete-0.1.4-py3-none-any.whl
Size 33.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
8d5dd0689ef4caae239a27ca5f452c41993d5afeae06dec4ba5e823b8005e127
BLAKE2b-256 checksum
How to use checksums
3f13e113e0a41557bc64e2892d80e36bf1e8a459df5bb0929cbfdafb3581752f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.10.12

Security for llm-complete 0.1.4

Provenance

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No provenance found

None of the files in this release were uploaded with provenance metadata.

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