Mastering Agentic AI with OpenAI (en Inglés) - Dr. Edward D Lavieri Jr.

Don’t Just Build AI Agents. Engineer Them to Operate.

Book Description

Building an AI Agent Is Easy. Building One You Can Trust in Production Is Engineering.

Agentic AI systems are moving fast from research papers and demos into production software. Mastering Agentic AI with OpenAI is a practical, authoritative guide for engineers, architects, and technology leaders designing and operating production-ready Agentic systems on the OpenAI platform - covering everything from multi-turn interactions to autonomous AI operation at enterprise scale.

The book progresses from agent foundations and tool integration through multi-agent orchestration, state management, memory, agentic RAG, and reasoning effort controls for balancing cost, latency, and capability. Each section addresses how agentic systems integrate with the existing applications and services, while remaining reliable, controllable, and observable under production conditions.

The final section moves from prototype to production covering scaling, security, evaluation, testing, monitoring, and autonomous AI systems. By the end of the book, you will design, deploy, and govern agentic AI systems with the architectural discipline and operational confidence that production environments demand.

What you will learn

● Design and build production-ready agentic AI systems using OpenAI Responses API and AgentKit.

● Develop multi-agent workflows with tool integration, memory, retrieval, and orchestration patterns.

● Integrate OpenAI APIs into secure, scalable Python and JavaScript production applications.

Table of Contents

1. Foundations of Agentic AI Systems

2. OpenAI Platform Overview and Capabilities

3. Architecting Agentic Workflows with the Responses API

4. Multi-Agent Orchestration Using AgentKit

5. State, Memory, and Tool Use in Agentic Systems

6. Implementing Agentic RAG for Knowledge Systems

7. Managing Reasoning Effort, Cost, and Latency Trade-offs

8. Scaling OpenAI Workloads

9. Securing Agentic AI Systems and Protecting Data

10. Governance, Compliance, and Ethical AI Design

11. Monitoring, Evaluation, and Observability for Agentic AI

12. Operating Models for Agentic AI Systems

13. The Roadmap to Autonomous Enterprises

       Index