The Python Coding Stack: 2. Anatomy of an Agent (opens in new tab)

Read if you're new here.You have used a large language model. You know the deal: a careful prompt gets a careful answer. A vague prompt gets a vague one. And the model itself does not keep anything from one conversation to the next, unless something external is holding that context for it.Agents work differently. They have parts that do things a plain LLM does not. These parts are what make an agent an agent. It is not just the model underneath. It is the structure built around it that gives ...