Multimodal, Real-Time AI Agent Systems

Chapter 4. Core Components of an Agent Framework

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In the previous chapters, we explored the architectural shifts that enable real-time, fluid AI interaction. Now, we will dissect the very anatomy of a modern AI agent. While building a simple agent prototype is straightforward, creating a reliable one that can power business-critical applications is a significant challenge. The primary difficulty lies in ensuring the LLM has the appropriate context at every step of its reasoning process. This includes both controlling the exact content that goes into the LLM’s prompt and executing the right steps to generate relevant information.

This is where an agent framework becomes indispensable. It simplifies the developer’s journey by providing a structured foundation that handles the complex, repetitive, and error-prone aspects of building agentic systems. But with dozens of frameworks available, how does a developer choose the right one?

A good framework is more than just an LLM in a loop; it provides ...