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gemini-live-api-examples

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Gemini Live provides multimodal realtime agent capabilities. Build voice agents that can process vision and text in realtime.

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# Gemini Live API Examples

The Live API enables low-latency, real-time voice and video interactions with
Gemini. It processes continuous streams of audio, video, or text to deliver
immediate, human-like spoken responses, creating a natural conversational
experience for your users.

![Live API Overview](https://ai.google.dev/gemini-api/docs/images/live-api-overview.png)

[Try the Live API in Google AI Studio](https://aistudio.google.com/live)

## Example use cases

Live API can be used to build real-time voice and video agents for a
variety of industries, including:

*   **E-commerce and retail:** Shopping assistants that offer personalized
    recommendations and support agents that resolve customer issues.
*   **Gaming:** Interactive non-player characters (NPCs), in-game help
    assistants, and real-time translation of in-game content.
*   **Next-gen interfaces:** Voice- and video-enabled experiences in robotics,
    smart glasses, and vehicles.
*   **Healthcare:** Health companions for patient support and education.
*   **Financial services:** AI advisors for wealth management and investment
    guidance.
*   **Education:** AI mentors and learner companions that provide personalized
    instruction and feedback.

## Key features

Live API offers a comprehensive set of features for building
robust voice and video agents:

*   [**Multilingual support**](https://ai.google.dev/gemini-api/docs/live-guide#supported-languages):
    Converse in 70 supported languages.
*   [**Barge-in**](https://ai.google.dev/gemini-api/docs/live-guide#interruptions):
    Users can interrupt the model at any time for responsive interactions.
*   [**Tool use**](https://ai.google.dev/gemini-api/docs/live-tools):
    Integrates tools like function calling and Google Search for dynamic
    interactions.
*   [**Audio transcriptions**](https://ai.google.dev/gemini-api/docs/live-guide#audio-transcription):
    Provides text transcripts of both user input and model output.
*   [**Proactive audio**](https://ai.google.dev/gemini-api/docs/live-guide#proactive-audio):
    Lets you control when the model responds and in what contexts.
*   [**Affective dialog**](https://ai.google.dev/gemini-api/docs/live-guide#affective-dialog):
    Adapts response style and tone to match the user's input expression.

## Technical specifications

The following table outlines the technical specifications for the
Live API:

## Examples

*   **[Gen AI SDK Python example](./gemini-live-genai-python-sdk/README.md)**: Recommended for ease of use. Connect to the Gemini Live API using the Gen AI SDK to build a real-time multimodal application with a Python backend.
*   **[Epheremal tokens and raw WebSocket example](./gemini-live-ephemeral-tokens-websocket/README.md)**: RAW protocol control. Connect to the Gemini Live API using WebSockets to build a real-time multimodal application with a JavaScript frontend and a Python backend.
*   **[Command-line Python example](./command-line/python/README.md)**: A minimal command-line app that streams microphone audio to the Gemini Live API and plays back the response in real time using Python.
*   **[Command-line Node.js example](./command-line/node/README.md)**: A minimal command-line app that streams microphone audio to the Gemini Live API and plays back the response in real time using Node.js.
*   **[Command-line Translation Python example](./command-line/python/README.md#real-time-audio-stream-translation)**: A command-line tool that streams a remote audio URL into the Gemini Live Translate model, plays back the translated audio, and prints transcripts with language codes in real time.
*   **[Broadcast Translation Web App (LiveKit)](https://github.com/google-gemini/gemini-live-translate-livekit)**: A production-ready multilingual broadcast app built with Next.js, LiveKit, and the Gemini Live API that translates speaker audio to multiple target languages concurrently with low latency. *(Note: This project has moved to a standalone repository)*

> [!TIP]
> Install the [Gemini Live API Dev](https://github.com/google-gemini/gemini-skills?tab=readme-ov-file#gemini-live-api-dev) skill for AI-assisted development with the Live API in your coding agents.

## Partner integrations

To streamline the development of real-time audio and video apps, you can use
a third-party integration that supports the Gemini Live
API over WebRTC or WebSockets.

*   [LiveKit](https://docs.livekit.io/agents/models/realtime/plugins/gemini/): Use the Gemini Live API with LiveKit Agents.
*   [Pipecat by Daily](https://docs.pipecat.ai/guides/features/gemini-live): Create a real-time AI chatbot using Gemini Live and Pipecat.
*   [Fishjam by Software Mansion](https://docs.fishjam.io/tutorials/gemini-live-integration): Create live video and audio streaming applications with Fishjam.
*   [Vision Agents by Stream](https://visionagents.ai/integrations/gemini): Build real-time voice and video AI applications with Vision Agents.
*   [Voximplant](https://voximplant.com/products/gemini-client): Connect inbound and outbound calls to Live API with Voximplant.
*   [Agent Development Kit (ADK)](https://google.github.io/adk-docs/streaming/): Create an agent and use the Agent Development Kit (ADK) Streaming to enable voice and video communication.
*   [Firebase AI SDK](https://firebase.google.com/docs/ai-logic/live-api?api=dev): Get started with the Gemini Live API using Firebase AI Logic.

gemini-live-api-examples

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