Comparison
ReAct vs Tool Use
ReAct and Tool Use are both common AI/LLM terms but cover different ideas. Here is a quick side-by-side.
When you would reach for ReAct
ReAct comes up when the question is fundamentally about agents & tools.
A search-augmented assistant: Thought, Search, Observation, Thought, Answer.
When you would reach for Tool Use
Tool Use comes up when the question is fundamentally about agents & tools.
Calling get_weather(city) and getting back JSON the model interprets.
Frequently asked
What is the difference between ReAct and Tool Use?
ReAct: ReAct is a prompting pattern that interleaves reasoning ("Thought:") with actions ("Action:") and observations ("Observation:"). It is the foundation of most tool-using agents. Tool Use: Tool use is when an LLM can call external functions — APIs, code interpreters, databases, web fetchers — and read their results. The mechanism that turns chat into action.
When should I use ReAct vs Tool Use?
ReAct is the right concept when you are focused on agents & tools. Tool Use applies when you are focused on agents & tools.
Are ReAct and Tool Use the same thing?
No. ReAct is agents & tools; Tool Use is agents & tools. They are related but address different parts of the AI stack.