In practice
It is the backbone of most modern LLM agents: the model writes what it intends to do, calls a tool, reads the response, then decides the next step. It makes the agent's decisions inspectable and debuggable.
It is the backbone of most modern LLM agents: the model writes what it intends to do, calls a tool, reads the response, then decides the next step. It makes the agent's decisions inspectable and debuggable.