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Home/Concepts/Function Calling
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ProtocolsPractitioner

Function CallingTool Use

Letting an AI invoke real code and APIs mid-reasoning.

Function calling (also called tool use) is a model capability where the LLM emits a structured "call this function with these arguments" signal mid-response โ€” rather than just generating prose. The application runs the function, returns the result, and the model incorporates it into its next prediction.

This is what makes agents possible: the model can call a search API, read results, run a calculation, check the output, and weave everything into a coherent response โ€” all in one turn.

Most frontier models support this: Anthropic calls it "tool use," OpenAI calls it "function calling." Both expose it via API as a special message type.

In plain terms

Like a consultant who mid-meeting says "hold on, let me pull the live data" โ€” checks real numbers, then continues the conversation with actual facts.

Related concepts

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AI Agents

AI that plans and takes actions without you guiding every step.

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API

A standardised way for software to talk to other software.

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Model Context Protocol

A universal standard for AI to connect to any tool or data source.

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Skills

Pre-built capabilities you attach to an AI to extend what it can do.

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