Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs.
 
From script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In AI Agents in Action, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks.
 
Author Micheal Lanham combines cutting-edge academic research with hands-on experience to help you:
- Understand and implement AI agent behavior patterns
- Design and deploy production-ready intelligent agents
- Leverage the OpenAI Assistants API and complementary tools
- Implement robust knowledge management and memory systems
- Create self-improving agents with feedback loops
- Orchestrate collaborative multi-agent systems
- Enhance agents with speech and vision capabilities
 
You won't find toy examples or fragile assistants that require constant supervision. AI Agents in Action teaches you to build trustworthy AI capable of handling high-stakes negotiations. You'll master prompt engineering to create agents with distinct personas and profiles, and develop multi-agent collaborations that thrive in unpredictable environments. Beyond just learning a new technology, you'll discover a transformative approach to problem-solving.
 
About the book
In AI Agents in Action, you’ll learn how to build production-ready assistants, multi-agent systems, and behavioral agents. You’ll master the essential parts of an agent, including retrieval-augmented knowledge and memory, while you create multi-agent applications that can use software tools, plan tasks autonomously, and learn from experience. As you explore the many interesting examples, you’ll work with state-of-the-art tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI.
 
About the reader
For intermediate Python programmers.