Advanced Applications and Multi-Agent Systems
In the previous chapter, we defined what an agent is. But how do we design and build a high-performing agent? Unlike the prompt engineering techniques we’ve previously explored, developing effective agents involves several distinct design patterns every developer should be familiar with. In this chapter, we’re going to discuss key architectural patterns behind agentic AI. We’ll look into multi-agentic architectures and the ways to organize communication between agents. We will develop an advanced agent with self-reflection that uses tools to answer complex exam questions. We will learn about additional LangChain and LangGraph APIs that are useful when implementing agentic architectures, such as details about LangGraph streaming and ways to implement handoff as part of advanced control flows.
Then, we’ll briefly touch on the LangGraph platform and discuss how to develop adaptive systems, by including humans...
