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ModelTerms

Comparison

Function Calling vs Tool Use

Function Calling 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 Function Calling

Function Calling comes up when the question is fundamentally about agents & tools.

OpenAI's tools parameter and tool_calls response.

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 Function Calling and Tool Use?

Function Calling: Function calling is the specific API mechanism by which an LLM emits a structured request to invoke a named function with typed arguments. The OpenAI-popularized way to do tool use. 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 Function Calling vs Tool Use?

Function Calling is the right concept when you are focused on agents & tools. Tool Use applies when you are focused on agents & tools.

Are Function Calling and Tool Use the same thing?

No. Function Calling is agents & tools; Tool Use is agents & tools. They are related but address different parts of the AI stack.