English | 2025 | ISBN: 9798307204092 | 346 pages | True PDF EPUB | 63.66 MB

Learn how to create LLM-powered autonomous agents and intelligent assistants specifically designed to address business and personal needs.

From user-friendly, script-free customer service chatbots to fully autonomous agents working seamlessly in the background, AI-powered assistants mark a new frontier in machine intelligence. AI Agents in Action provides a structured framework for building practical agents capable of tackling real-world tasks in both business and personal contexts.

Author Micheal Lanham blends leading-edge academic research with firsthand industry insights to guide you in:

• Understanding and applying AI agent behavior patterns
• Designing and deploying production-ready intelligent agents
• Utilizing the OpenAI Assistants API alongside other cutting-edge tools
• Implementing advanced knowledge management and memory systems
• Developing self-improving agents through feedback loops
• Coordinating collaborative multi-agent systems
• Enhancing agents with speech and visual capabilities

This book skips fragile or overly simplistic examples, focusing instead on creating trustworthy AI systems capable of handling complex scenarios, such as high-stakes negotiations. You'll learn key techniques like prompt engineering for crafting agents with distinct personas while exploring strategies for fostering multi-agent collaborations in dynamic environments. Beyond acquiring technical knowledge, you’ll gain a new perspective on solving challenges innovatively.

About the Technology

Modern AI systems often involve intricate coordination between users, AI models, and diverse data sources. AI agents streamline and structure these interactions into autonomous units capable of processing information, making decisions, and continuously learning in the background. This book guides you step-by-step in creating these autonomous agents and linking them to build powerful, multi-agent ecosystems.

About the Book

AI Agents in Action teaches you to develop production-ready assistants, multi-agent systems, and behavioral agents. You’ll dive into core components such as retrieval-augmented knowledge systems and memory integration while building multi-agent applications that autonomously plan tasks, leverage software tools, and learn from real-world interactions. Along the way, you'll experiment with state-of-the-art technologies like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI.

What’s Inside:

• Knowledge management and memory integration
• Continuous learning via feedback loops
• Collaborative multi-agent systems
• Advanced functionalities like speech recognition and computer vision

About the Reader

This book is designed for intermediate Python programmers looking to advance their skills in AI development.

About the Author

Micheal Lanham is a seasoned software and technology innovator with over two decades of industry experience. He has authored highly regarded books on deep learning, including Evolutionary Deep Learning from Manning.

Table of Contents

1. Introduction to Agents and Their World
2. Harnessing the Power of Large Language Models
3. Engaging GPT Assistants
4. Exploring Multi-Agent Systems
5. Empowering Agents with Actions
6. Building Autonomous Assistants
7. Assembling and Using an Agent Platform
8. Understanding Agent Memory and Knowledge
9. Mastering Agent Prompts with Prompt Flow
10. Agent Reasoning and Evaluation
11. Agent Planning and Feedback
    Appendix A: Accessing OpenAI Large Language Models
    Appendix B: Python Development Environment