Engineering LLM Powered AI Agents: Designing Tool Using, Reasoning Driven Systems with Memory and Multi-Agent Coordination (Applied Large Language Model Engineering Series, Band 2) - Softcover

Inhaltsangabe

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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