Back to library
AI
tutorial

Use Streaming for Faster, More Responsive AI Interactions

Enable streaming to provide instant feedback and reduce perceived latency.

Implement streaming in your Gemini API requests to deliver text to users as it is generated rather than waiting for the full response.

Google Gemini

The Scenario

You are building a real-time support chatbot and want the text to appear word-by-word to the user rather than making them wait for the entire paragraph to load at once.

Before & after

The old way

Manually waiting for an entire AI response to generate before displaying it can feel sluggish and frustrating for users. This often results in a 10-30 second wait for long outputs.

With AI

With the official Google GenAI SDK, you can initiate a streaming request in seconds. Interaction starts almost immediately, reducing perceived latency to under 1 second.

The Prompt

I want to implement streaming responses using the Gemini API in [PYTHON/JAVASCRIPT]. Please provide a code snippet using the Google GenAI SDK that uses the `generateContent` method with streaming enabled so results appear as they are generated.

Using the `stream` parameter in the Gemini API allows the model to send back partial results as they are generated. This is essential for building responsive chatbots or real-time writing assistants.

Source

Release notes  |  Gemini API  |  Google AI for Developers
"We will also use streaming for faster interactions... generate text from text only input."