Building Java AI Agents using LangChain4j and Dynamic Sessions

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Unlock the potential of AI Agents in your Java applications by combining LangChain4j with Azure Container Apps (ACA) dynamic sessions connected to Azure AI services. This session showcases a practical example of building an agent capable of interacting with a remote environment, including file management. Learn how to define custom tools, integrate them into agent workflows, and leverage Azure's scalable infrastructure to deploy intelligent, dynamic solutions.

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