An AI Agent Architecture & Framework Is Emerging

AI agents are evolving with new architectures that enable autonomous operation and dynamic interaction within digital environments. Core components include Large Action Models (LAMs), which enable meaningful actions, and Model Orchestration, which leverages smaller specialized models for specific tasks. Function calling enhances AI's ability to perform structured actions, while vision-enabled models allow for interaction with digital environments. The integration of tools, including human-in-the-loop mechanisms, extends the capabilities and modularity of AI agents.