Gemini Advanced Techniques: Structured Output, Functions & Streaming

Basic prompt-and-response works for exploration, but production applications demand more: structured data you can parse, tool calls you can act on, and streaming responses for real-time user experiences. Gemini supports all three — with some unique behaviors worth understanding before you build.

Gemini's structured output mode can enforce JSON schemas at the API level, preventing malformed responses before they reach your application. Its function calling implementation supports parallel execution, giving you multi-tool orchestration in a single turn. And Gemini Live offers real-time multimodal streaming with voice and video, opening up applications that feel more like conversation than API calls.

This section covers the prompting side of these capabilities: how to write prompts that produce clean structured output, how to design function declarations that Gemini uses correctly, and how to structure streaming interactions for speed and accuracy.

What You'll Find Here

Structured Output & JSON

JSON mode configuration, schema design patterns, prompting for reliable structured extraction, handling nested objects and arrays, and common schema antipatterns.

Function Calling

Designing effective function declarations, multi-tool orchestration prompts, parallel function execution patterns, error handling in tool chains, and prompts that minimize unnecessary function calls.

Streaming & Real-time

Streaming API prompt patterns, Gemini Live for real-time multimodal interactions, latency optimization techniques, and structuring prompts for progressive rendering UIs.

Getting Started

Start with Structured Output & JSON if you're parsing Gemini responses in code. Jump to Function Calling if you're building agent-style applications.