Multimodal, Real-Time AI Agent Systems

Chapter 11. The Birth of AgentOps: Introduction to an Agent Operationalization Platform

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This will be the 15th chapter of the final book. Please note that the GitHub repo will be made active later on.

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Throughout the previous parts of this book, you have embarked on a comprehensive journey on creating agents, tools and making them work in a harmony. We started with the foundations of modern AI systems, moved on to building live, interactive experiences, and then did a deep dive into architecting and implementing agentic systems. We explored the open protocols that enable interoperability and saw how to synthesize all these components into a single, integrated system.

Now, we arrive at the final, critical stage: Productionizing AI Agents. After all the design and development, how do you take these powerful, multi-agent systems from a prototype to a secure, reliable, and scalable production environment? This is the central challenge of AgentOps, the next evolution in operational practices. In this chapter, we will bridge that gap between theory and practice. We’ll start by recapping the MLOps and GenAIOps ...