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LangGraph - managing AI Agents
Language
English
English
Book
Paperback
Get to grips with the LangGraph framework from theory to production-ready applications. Code example...
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Libristo code: 47226999
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Get to grips with the LangGraph framework from theory to production-ready applications. Code examples are regularly updated to keep you abreast of the latest LangGraph and LangChain changes.
Purchase of the print or Kindle book includes a free PDF eBook and all code samples.
AI Agents can solve very complex situations and that's why clear communication is essential to achieve the desired results.
This is where LangGraph excels. Communicating with LLMs via code leads to far more reliable results than using only natural language (prompt engineering).
AI Agents are LLMs on steroids. The anatomy of an agent consists of:AI_AGENT = LLM + MEMORY + TOOLS + PLANNING + DO_WHILE_LOOP
The LangGraph framework is an excellent tool for implementing and orchestrating all of these components.
Simply put, AI agents are LLMs with tools, that operate in a loop to accomplish specific goals.
You can assign them tasks such as:
- a calendar manager to schedule and manage appointments, send reminders, and suggest optimal meeting times
- a personal AI Agent assistant to organize trips, book hotels and plane tickets for a destination in a given budget.
AI Agents can solve very complex situations thus clear communication is essential to achieve the desired results.
This is where LangGraph excels. Communicating with LLMs via code leads to far more reliable results than using only natural language (prompt engineering).
In this book, we'll take you on a fun, hands-on journey where each chapter will focus on essential concepts like tool management or human-in-the-loop validation, while also coding practical implementations of these elements using LangGraph.
What's Inside
- AI Agents Introduction
- LangGraph Fundamentals
- Nodes, Edges, and Graphs in LangGraph
- Building Your First AI Agent
- Tool Calling and Functions
- AI Agents and Tools
- Using Stateful Graphs
- Threads in LangGraph
- ReACT Agents
- Human in the Loop
- Adding Interruptions
- Managing Permissions in the Graph State
- Multi Agent Systems
- Multimodal Agents (using video and audio)
Latest updates to the book:
- 24 Mar 2025: added 2 brand new chapters one on Multi Modal AI Agents (text and audio) and the other one on ReAct AI agents
- 15 Jan 2025: various typos and extra code samples
- 04 Dec 2024: added the Multi AI Agent Orchestration chapter
Let's start learning!
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About the book
Full name
LangGraph - managing AI Agents
Author
Daniel Nastase
Language
English
English
Binding
Book - Paperback
Date of issue
2024
Number of pages
126
EAN
9798300423896
Libristo code
47226999
Publishers
Amazon Digital Services LLC - Kdp
Weight
231
Dimensions
191 x 235 x 7
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