Gemini Function Calling

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What is Gemini Function Calling?

Gemini function calling lets you hook the Gemini language model to real code in a safe and simple way. You first list the functions you want it to use, each with a name, a short note about what it does, and a JSON schema for the needed arguments. When the user speaks, Gemini checks this list and, if a match makes sense, answers with a tiny JSON block that holds the chosen function name and the filled-in arguments. Your program then runs that function, sends the result back, and the chat moves on. Because the reply is strict JSON and not free text, you do not have to guess at what the model means, and you avoid many errors. This flow lets you build agents that pull data, call APIs, or carry out long action chains while keeping control of business logic on your side.

Free resources to learn Gemini Function Calling

More in stage 29: LLM Native "Function Calling"

Gemini Function Calling: common questions

Can I learn Gemini Function Calling in Hindi?

This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Gemini Function Calling in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.

Is this Gemini Function Calling tutorial for beginners?

It is lesson 73 of 101 in the free AI Agents roadmap, in stage 29, LLM Native "Function Calling". If you are new to AI Agents, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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