Models
Function Calling
A model capability where the LLM outputs structured JSON describing which function to call and with what arguments, rather than plain text.
In depth
A model capability where the LLM outputs structured JSON describing which function to call and with what arguments, rather than plain text. This lets AI applications reliably trigger actions like database queries, API calls, or tool use based on natural language input.
Example
This lets AI applications reliably trigger actions like database queries, API calls, or tool use based on natural language input.
Go deeper at Developers Digest
Hands-on guides, comparisons, and tutorials that cover Models.
FAQ
What is Function Calling?
A model capability where the LLM outputs structured JSON describing which function to call and with what arguments, rather than plain text.
Why does Function Calling matter for AI developers?
Function Calling sits in the Models part of the AI stack. Understanding it helps you make better decisions when building, debugging, and shipping AI features.
Where can I learn more about Function Calling?
Developers Digest publishes tutorials and videos that cover Models topics including Function Calling. Check the blog and YouTube channel for hands-on walkthroughs.
Related terms
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AI systems that create new content - text, images, code, audio, video - rather than just classifying or analyzing existing data.
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A Claude feature that gives the model a dedicated thinking phase before producing its visible response.
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The practice of structuring web content so AI models cite and surface it in their responses.
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