LangChain Widget
Run a LangChain agent in Jupyter notebooks.
An anywidget + React chat UI for LangChain tool-calling chat models, built for notebooks and designed to compose with other Jupyter widgets.
- Works in JupyterLab / Notebook (and VS Code notebooks)
- Tool calling out of the box (your tools, your model)
- Easy to embed alongside plots, tables, and domain widgets
Installation
pip install langchain-widget
Quick start
In a notebook, create a LangChainWidget with your chat model and tools:
from langchain_widget import LangChainWidget
from langchain_openai import ChatOpenAI
from langchain_core.tools import tool
chat_model = ChatOpenAI(model="gpt-4o-mini")
@tool
def add(a: int, b: int) -> int:
"Add two integers."
return a + b
w = LangChainWidget(
chat_model=chat_model,
tools=[add],
system_prompt="You are a helpful scientific assistant.",
)
w
Here is how it looks in a Jupyter notebook:
Documentation
Full documentation at: https://langchain-widget.readthedocs.io/
Development
See langchain-widget/docs/source/development.rst.
Contact
- Xing Wang xingwang1991@gmail.com
License
1 maintainer
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