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Backend & Runtime / Knowledge library

Function Calling

connect model outputs to external tools and systems

LLM tool integration pattern

Why learn Function Calling?

Useful when a model needs to trigger APIs, database queries or application logic instead of only returning prose.

Where it came from

Function calling lets AI applications ask a model to emit structured arguments for developer-defined tools and integrations.

Build your understanding

Work through these exercises in order. Try the task before opening a reference.

  1. Summarize the official positioning for Function Calling in one paragraph.
  2. Identify the buyer, developer, or user workflow Function Calling is built for.
  3. Compare Function Calling with a neighboring catalog topic and name the boundary.
  4. List two implementation risks or adoption questions for Function Calling.
  5. Design a five-question evaluation that would test whether someone understands Function Calling.

Documentation and sources

Catalog research notes

Connect the ideas

Built on

JSONStructured OutputsOpenAI

Enables

Tool-Calling Agents

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Catalog source: technology-maxxing. This page reproduces the existing catalog’s learning material and source links.