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Engineering LLM Powered AI Agents

Designing Tool Using, Reasoning Driven Systems with Memory and Multi-Agent Coordination

Language EnglishEnglish
Book Paperback
Book Engineering LLM Powered AI Agents Alex Ming
Libristo code: 51322944
Publishers Independently published, February 2026
As large language models evolve, they are increasingly embedded within autonomous or semi-autonomous... Full description
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As large language models evolve, they are increasingly embedded within autonomous or semi-autonomous systems capable of reasoning, planning, and interacting with tools. Engineering LLM-Powered AI Agents explores how to design structured agent architectures that extend beyond simple text generation.
This book presents engineering patterns for:

  1. Agent planning and reasoning loops
  2. Tool integration and API orchestration
  3. Memory systems and context management
  4. Retrieval-augmented generation (RAG)
  5. Multi-agent communication models
  6. Guardrails and controlled autonomy
  7. Evaluation of agent reliability and behavior
Rather than presenting abstract concepts, this volume emphasizes architectural clarity and practical implementation approaches. Readers will learn how to decompose complex workflows into modular components, design robust interaction loops, and measure system behavior under varied conditions.
The book is suited for AI engineers, solution architects, and developers who want to build structured, extensible agent systems grounded in responsible design principles.

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About the book

Full name Engineering LLM Powered AI Agents
Author Alex Ming
Language English
Binding Book - Paperback
Date of issue 2026
Number of pages 278
EAN 9798249393052
Libristo code 51322944
Publishers Independently published
Weight 489
Dimensions 178 x 254 x 15

Categories

Computing & Information Technology > Computer science > Artificial intelligence > Neural networks & fuzzy systems
Computing & Information Technology > Computer programming / software engineering > Programming & scripting languages: general
Computing & Information Technology > Databases > Data capture & analysis
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