Jupyter AI is under incubation as part of the JupyterLab organization.
Jupyter AI connects generative AI with Jupyter notebooks. Jupyter AI provides a user-friendly and powerful way to explore generative AI models in notebooks and improve your productivity in JupyterLab and the Jupyter Notebook. More specifically, Jupyter AI offers:
- An
%%aimagic that turns the Jupyter notebook into a reproducible generative AI playground. This works anywhere the IPython kernel runs (JupyterLab, Jupyter Notebook, Google Colab, Kaggle, VSCode, etc.). - A native chat UI in JupyterLab that enables you to work with generative AI as a conversational assistant.
- Support for a wide range of generative model providers, including AI21, Anthropic, AWS, Cohere, Gemini, Hugging Face, MistralAI, NVIDIA, and OpenAI.
- Local model support through GPT4All and Ollama, enabling use of generative AI models on consumer grade machines with ease and privacy.
Documentation is available on ReadTheDocs.
You will need to have installed the following software to use Jupyter AI:
- Python 3.8 - 3.12
- JupyterLab 4 or Notebook 7
In addition, you will need access to at least one model provider.
Important
JupyterLab 3 reached its end of maintenance date on May 15, 2024. As a result, we will not backport new features to the v1 branch supporting JupyterLab 3. Fixes for critical issues will still be backported until December 31, 2024. If you are still using JupyterLab 3, we strongly encourage you to upgrade to JupyterLab 4 as soon as possible. For more information, see JupyterLab 3 end of maintenance on the Jupyter Blog.
To use any AI model provider within this notebook, you'll need the appropriate credentials, such as API keys.
Obtain the necessary credentials, such as API keys, from your model provider's platform.
You can set your keys using environment variables or in a code cell in your notebook. In a code cell, you can use the %env magic command to set the credentials as follows:
# NOTE: Replace 'PROVIDER_API_KEY' with the credential key's name,
# and replace 'YOUR_API_KEY_HERE' with the key.
%env PROVIDER_API_KEY=YOUR_API_KEY_HEREFor more specific instructions for each model provider, refer to the model providers documentation.
Below is a simplified overview of the installation and usage process. See our official documentation for details on installing and using Jupyter AI.
If you want to install both the %%ai magic and the JupyterLab extension, you can run:
$ pip install jupyter-ai
If you are not using JupyterLab and you only want to install the Jupyter AI %%ai magic, you can run:
$ pip install jupyter-ai-magics
As an alternative to using pip, you can install jupyter-ai using
Conda
from the conda-forge channel, using one of the following two commands:
$ conda install -c conda-forge jupyter-ai # or,
$ conda install conda-forge::jupyter-ai
The %%ai magic works anywhere the IPython kernel runs, including JupyterLab, Jupyter Notebook, Google Colab, and Visual Studio Code.
Once you have installed the %%ai magic, you can enable it in any notebook or the IPython shell by running:
%load_ext jupyter_ai_magics
or:
%load_ext jupyter_ai
The screenshots below are from notebooks in the examples/ directory of this package.
Then, you can use the %%ai magic command to specify a model and natural language prompt:
Jupyter AI can also generate HTML and math to be rendered as cell output.
Jupyter AI can interpolate IPython expressions, allowing you to run prompts that include variable values.
The Jupyter AI extension for JupyterLab offers a native UI that enables multiple users
to chat with the Jupyter AI conversational assistant. If you have JupyterLab installed,
this should be installed and activated when you install the jupyter_ai package.
For help with installing and using Jupyter AI, please see our user documentation on ReadTheDocs.
If you would like to contribute to Jupyter AI, see our contributor documentation on ReadTheDocs.