Using the Function Tool

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We show how to expose custom Python functions to the LLM by describing them in the API call, then writing harness code that parses function call requests, executes the function locally, and pipes the result back into the model.

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Previous Module The Principles of Responsible AI

This Module Develop a Generative AI Chat App

Develop a Generative AI Chat App with Microsoft Foundry

Choosing an Endpoint and SDK

Comparing ChatCompletions and Responses API

Comparing Per-Turn Code Patterns

Tools and Agents

Using the Code Interpreter Tool

Using Web Search and File Search Tools

Using the Function Tool

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