Langgraph Tool Calling Example. Use the Graph API if you prefer to define your agent as a graph of n
Use the Graph API if you prefer to define your agent as a graph of nodes and edges. This quickstart demonstrates how to build a calculator agent using the LangGraph Graph API or the Functional API. Mar 19, 2025 · LangGraph is a versatile Python library designed for stateful, cyclic, and multi-actor Large Language Model (LLM) applications. LangGraph’s underlying graph algorithm uses message passing to define a general program. When a Node completes its operation, it sends messages along one or more edges to other node (s). LangGraph sets the foundation for how we can build and scale AI workloads — from conversational agents, complex task automation, to custom LLM-backed experiences that 'just work'. LangGraph sets the foundation for how we can build and scale AI workloads — from conversational agents, complex task automation, to custom LLM-backed experiences that 'just work'. The LangChain ecosystem has reached a pivotal milestone in 2025 with both LangChain 1. Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. 0 achieving stable releases. This comprehensive LangGraph is a powerful Python library that simplifies creating, managing, and visualizing complex AI workflows. LangGraph, created by LangChain, is an open source AI agent framework designed to build, deploy and manage complex generative AI agent workflows. After years of rapid iteration and community feedback, these frameworks have evolved from experimental tools into production-ready platforms powering mission-critical AI applications at companies like Uber, LinkedIn, Klarna, and JP Morgan. . Dec 12, 2025 · At its core, LangGraph combines large language models (LLMs) with graph-based architectures allowing developers to map, organize and optimize how AI agents interact and make decisions. 0 and LangGraph 1. LangGraph is a powerful Python library that simplifies creating, managing, and visualizing complex AI workflows. This tutorial will give you an overview of LangGraph fundamentals through hands-on examples, and the tools needed to build your own LLM workflows and agents in LangGraph. Sep 6, 2024 · What is LangGraph? LangGraph is an advanced library built on top of LangChain, designed to enhance your Large Language Model (LLM) applications by introducing cyclic computational capabilities. Welcome to this next part of our journey, where you’ll learn how to build applications using the LangGraph framework designed to help you structure and orchestrate complex LLM workflows. Built on the popular LangChain framework, LangGraph makes it straightforward to handle stateful workflows, conditional logic, loops, and multistep interactions. It provides a set of tools and libraries that enable users to create, run and optimize large language models (LLMs) in a scalable and efficient manner. Jan 12, 2026 · Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. Jan 12, 2026 · LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents and multi-actor applications with Large Language Models (LLMs).