Function Calling in LLMs: Complete Guide with Examples
Published 2026-07-16
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Overview
Master LLM function calling (tool use). Syntax, best practices, supported models, and real-world code examples in Python and TypeScript.
Key Topics
This article covers the following topics related to function calling, llm tool use, ai function calling:
- Core concepts and terminology
- Practical implementation guide
- Best practices and common pitfalls
- Comparison with alternatives
- Real-world use cases
Getting Started
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FAQ
What is function calling in LLMs?
Function calling allows LLMs to invoke external functions or APIs, enabling them to access real-time data and perform actions.
Which models support function calling?
OpenAI GPT-4, Claude, Gemini, and most modern LLMs support function calling with varying syntax and capabilities.
Conclusion
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Frequently Asked Questions
What is function calling in LLMs? ▸
Function calling allows LLMs to invoke external functions or APIs, enabling them to access real-time data and perform actions.
Which models support function calling? ▸
OpenAI GPT-4, Claude, Gemini, and most modern LLMs support function calling with varying syntax and capabilities.
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