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Explore the development of autonomous AI agents in Java through this 49-minute conference talk from Devoxx. Learn to build AI agents that can act independently by communicating programmatically with Large Language Models and performing automated actions. Discover the new "agentic" module from LangChain4j and master the orchestration of AI agents using its intuitive API. Understand how to implement Structured Outputs to enforce JSON schema compliance in LLM responses, enabling seamless mapping to Java objects. Master Function Calling techniques to define and execute Java functions directly from within AI models. Get introduced to the Model Context Protocol (MCP), a new standardization protocol that streamlines communication between LLMs and various data sources and tools. Follow along with practical code demonstrations and comprehensive documentation created specifically for implementing these cutting-edge features in LangChain4j using OpenAI's latest Java SDK.
