3 docs tagged with "agent"

createagent builds a ReAct-style agent — reason, act, observe, repeat — from a model and a tool list. The constructor itself lives in LangGraph's prebuilt layer; langchain.agents.createagent is the stable entry point.

An agent that answers questions over a database: it introspects the schema, writes a query, runs it, and reasons over the result — the tool-calling loop applied to SELECT statements.

Every model so far in this curriculum has learned from labelled examples — here is the input, here is the correct output. Reinforcement learning removes the labels entirely: an agent takes actions, receives only a scalar signal for how well it did, and has to figure out which of its own past decisions deserve the credit.