Mastering Agentic AI with OpenAI

Don't Just Build AI Agents. Engineer Them to Operate.Book DescriptionBuilding 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.● Evaluate performance, reliability, cost, and governance across autonomous AI system deployments.● Implement responsible AI practices covering security, monitoring, observability, and human oversight.● Deploy and manage agentic AI solutions across modern cloud environments at production scale.Table of Contents1. Foundations of Agentic AI Systems2. OpenAI Platform Overview and Capabilities3. Architecting Agentic Workflows with the Responses API4. Multi-Agent Orchestration Using AgentKit5. State, Memory, and Tool Use in Agentic Systems6. Implementing Agentic RAG for Knowledge Systems7. Managing Reasoning Effort, Cost, and Latency Trade-offs8. Scaling OpenAI Workloads9. Securing Agentic AI Systems and Protecting Data10. Governance, Compliance, and Ethical AI Design11. Monitoring, Evaluation, and Observability for Agentic AI12. Operating Models for Agentic AI Systems13. The Roadmap to Autonomous Enterprises       Index