Agentic systems: ReAct, planning and multi-agent patterns
Function calling gives a model one tool call per turn. An agentic system goes further: the model runs in a loop, choosing what to do next after seeing the result of its last action, until it decides the goal is complete. This turns a language model from a responder into a problem-solver. But loops without guardrails spin forever, and agents that can call real APIs can cause real damage. This lesson covers the architecture, the main reasoning pattern (ReAct), and how to build multi-agent systems that stay under control.
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