Agentic Patterns with LangChain4j

In this BONUS finale, we graduate from single agents to full multi-agent systems. We'll explore 8 patterns that power production AI: chain agents like an assembly line, fan-out for parallel expert opinions, loop until a critic approves, and route requests to the right specialist. Then unlock Supervisor agents that delegate like project managers and Human-in-the-Loop gates when humans need the final say. Finally, explore goal-oriented planners that find optimal paths and peer-to-peer meshes where agents collaborate as equals without a boss.

Pre-requisites:
Check out the LangChain4j beginners series: https://aka.ms/langchain4j-for-beginners
Sign up for an Azure free trial: https://aka.ms/AzureFreeTrialDevRelAll