Agents: LLMs That Act

A raw LLM can describe how to query a database — it can't query one. An agent wraps the model in a harness: a set of tools (search, code execution, APIs, file access) plus a loop that lets the model actually call them.

The model's text output becomes instructions — call get_weather(city='Paris') — and the harness executes it and hands back the result.