LangChain Blog
Explore AI’s future through LangChain's lens, with expert articles and guided tutorials for enthusiasts and experts alike.
We're excited to announce the launch of the Assistant Editor, a powerful new feature in LangGraph Studio that makes it easier than ever to configure and customize your LLM-powered agents. This visual editing tool empowers both developers and non-technical users to fine-tune agent behavior without diving into code.
Today we are excited to announce LangGraph templates, available in both Python and JS. These template repositories address common use cases and are designed for easy configuration and deployment to LangGraph Cloud. The best way to use these is to download the newest version of LangGraph Studio, but you can
Today, we’re excited to announce the release of LangChain v0.3 for both Python and JavaScript ecosystems.
What's changed
Python
- All packages have been upgraded from Pydantic 1 to Pydantic 2 internally. Use of Pydantic 2 in user code is fully supported with all packages without
Editor's Note: This is a guest blog post by Dhruv Ateja. It covers building a full stack application that uses an agent to both query data as well as choose how to display that data. It leverages LangGraph and LangGraph Cloud.
Key Links:
TL;DR: assistant-ui is an embeddable AI chat frontend for React applications. It supports streaming, generative UI, human-in-the-loop, and other UX paradigms crucial for agentic applications. We’ve worked with Simon (the maintainer) to add a tight integration with LangGraph Cloud. This allows you to easily deploy LangGraph agents