LangGraph for Python Developers / Nejlevnější knihy
LangGraph for Python Developers

Kód: 53735825

LangGraph for Python Developers

Autor Liora Byteforge

Building an AI agent is easy when all it needs to do is answer a prompt. The real challenge begins when your application must remember state, call tools, make decisions, follow different execution paths, pause for human approval, ... celý popis

487


Skladem u dodavatele
06.09.2026

Informovat o naskladnění

Přidat mezi přání

Mohlo by se vám také líbit

Darujte tuto knihu ještě dnes
  1. Objednejte knihu a zvolte Zaslat jako dárek.
  2. Obratem obdržíte darovací poukaz na knihu, který můžete ihned předat obdarovanému.
  3. Knihu zašleme na adresu obdarovaného, o nic se nestaráte.

Více informací

Informovat o naskladnění knihy

Informovat o naskladnění knihy


Souhlas - Souhlasím se zasíláním obchodních sdělení a zpracováním osobních údajů k obchodním sdělením.

Zašleme vám zprávu jakmile knihu naskladníme

Zadejte do formuláře e-mailovou adresu a jakmile knihu naskladníme, zašleme vám o tom zprávu. Pohlídáme vše za vás.

Více informací o knize LangGraph for Python Developers

Nákupem získáte 49 bodů

Anotace knihy

Building an AI agent is easy when all it needs to do is answer a prompt. The real challenge begins when your application must remember state, call tools, make decisions, follow different execution paths, pause for human approval, and continue work across multiple interactions.

LangGraph for Python Developers gives you a practical, step by step introduction to building these kinds of intelligent workflows with LangGraph.

Instead of teaching LangGraph through disconnected examples, this book develops one complete project called SupportFlow AI, a customer support agent that becomes more capable as you progress. You will begin with the foundations of graphs, state, nodes, and edges, then gradually introduce conditional routing, language models, tool calling, persistence, memory, human oversight, streaming, debugging, and automated testing.

You will learn how to design graph state that remains manageable as an application grows, create focused nodes and execution paths, connect Python tools to language models, build controlled agent tool loops, preserve conversation state with checkpoints and threads, manage short term and longer lived memory, and pause sensitive operations until a human approves them.

The book also goes beyond simply making an agent work. You will learn how to inspect execution, stream agent progress, trace workflows with LangSmith, test individual nodes, test complete graphs, handle common LangGraph failures, organize configuration safely, and structure a growing agent application for maintainability.

By the final chapter, you will bring everything together into the complete SupportFlow application, combining model reasoning, tools, routing, persistence, memory, human approval, error handling, configuration, and resumable execution.

This book is designed for Python developers who want to move beyond basic chatbot applications and understand how stateful AI agents are actually engineered.

No previous LangGraph experience is required. If you are comfortable with Python functions, dictionaries, type hints, packages, and basic API concepts, you have enough background to begin.

If you want to build AI agents that are not only capable, but also structured, observable, testable, and controlled, this book will give you the practical foundation to start.

Parametry knihy

487



Osobní odběr Praha, Brno a 48052 dalších

Copyright ©2008-26 nejlevnejsi-knihy.cz Všechna práva vyhrazenaSoukromíCookies


Můj účet: Přihlásit se
Všechny knihy světa na jednom místě. Navíc za skvělé ceny.

Nákupní košík ( prázdný )

Vyzvednutí v Balikovně a PPL
boxech
zdarma nad 1 499 Kč.

Nacházíte se: