Package providing Jupyter AI magic commands in IPython
Project description
jupyter-ai-magic-commands
Magics are currently provided for Jupyter AI via the package jupyter-ai-magics (current version 2.31.6). This works with Jupyter AI v2 but will not work with the collection of extensions for v3 developed in https://github.com/jupyter-ai-contrib, which use litellm via the https://github.com/jupyter-ai-contrib/jupyter-ai-litellm repository. Therefore, we introduce an updated magics package, titled jupyter_ai_magic_commands (v0.0.1) for use with Jupyter AI v3.
Installation
Create the environment:
conda create -n v3 python=3.13 nodejs=20
conda activate v3
To install basic Jupyter AI from scratch using the package collection in https://github.com/jupyter-ai-contrib:
pip install jupyter-ai-router jupyter-ai-persona-manager jupyter-ai-jupyternaut
pip install jupyter-ai-magic-commands
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file jupyter_ai_magic_commands-0.0.2.tar.gz.
File metadata
- Download URL: jupyter_ai_magic_commands-0.0.2.tar.gz
- Upload date:
- Size: 19.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
57451a82b165ba4c32b5747eb2036b2cf0abcfa7dcae2d703ecaa3f989e70f30
|
|
| MD5 |
6eb341950b4c5badfbf0fd142ca91762
|
|
| BLAKE2b-256 |
ede1183c8ed266223c1a4ee3eae95b03c8e5bd1284dc29c226833ac06b68d76d
|
File details
Details for the file jupyter_ai_magic_commands-0.0.2-py3-none-any.whl.
File metadata
- Download URL: jupyter_ai_magic_commands-0.0.2-py3-none-any.whl
- Upload date:
- Size: 19.0 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/6.2.0 CPython/3.12.11
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1dc7ff26975345fa06d166b00813d3876f7947b3b318b8c9fbabbed3e46d9711
|
|
| MD5 |
745a43fbcb217fce885c243f30b20714
|
|
| BLAKE2b-256 |
58bab85a712fb7e4216cde5ffaf8f91f9418e0415b66b219d817948afb7055cd
|