LangGraph Tutorial: Build Stateful AI Agents in Python

TL;DR

LangGraph is a Python framework that enables the creation of stateful AI agents capable of handling complex workflows. In this tutorial, you will build an email-processing agent that can autonomously parse and send emails.

✦ Why It Matters

Engineers can start building their own stateful AI agents using LangGraph to automate email processing tasks today.

Key Takeaways

Install LangGraph and dependencies using pip.
Create a state graph to model email processing workflows.
Utilize Pydantic for data validation in email extraction.
Implement conditional logic to handle different email scenarios.

How It Works

LangGraph represents LLM applications as directed graphs, where each node corresponds to an action and edges dictate the flow of execution. This structure allows for complex workflows that can include cycles and conditional paths, enabling the application to make decisions based on the data it processes.

LangGraph Tutorial: Build Stateful AI Agents in Python

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NASA’s new dark energy space telescope can also detect killer asteroids

tailwindlabs / tailwindcss

denoland / deno

angular / angular

NASA’s new dark energy space telescope can also detect killer asteroids