Gemini Live API Dev
Google (Gemini)OfficialPublished by Google (Gemini)
- Skill
- Tool integration
- Data and AI
- Apache-2.0
- Low risk
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
The Gemini Live API development skill provides the necessary framework for integrating low-latency, real-time voice and video interactions into applications. It covers WebSocket-based communication for audio, video, and text, supporting advanced features like background reasoning, voice activity detection (VAD), and asynchronous function calling. The skill includes guidance for using the latest Gemini 3.8 models, managing session lifecycles, and implementing secure authentication via ephemeral tokens.
What it does
- Enables bidirectional audio and video streaming over WebSockets.
- Supports background reasoning with conversational fillers for complex tasks.
- Provides real-time speech-to-text transcription and speech-to-speech translation.
- Facilitates asynchronous function calling for non-blocking tool execution.
- Manages session state, including context compression and resumption.
- Offers secure client-side authentication using ephemeral tokens.
When to use it
- When building low-latency, real-time voice or video AI agents.
- When migrating legacy Gemini Live models to the 3.8 series.
- When implementing real-time streaming transcription or translation services.
- When requiring background reasoning capabilities during live voice interactions.
Advantages
- Low-latency performance optimized for human-like conversational flow.
- Supports complex reasoning tasks without interrupting the user experience.
- Flexible integration with major SDKs for Python and JavaScript/TypeScript.
- Robust session management features for long-running interactions.
Usage examples
- “How do I connect to the Gemini 3.8 Live model using Python?”
- The skill provides a code snippet using the google-genai SDK to establish an asynchronous connection with LiveConnectConfig.
- “How can I enable background reasoning in my voice agent?”
- The skill instructs to use the gemini-3.8-live-extended-thinking model and configure non-blocking tools.
- “What is the correct way to send audio data to the API?”
- The skill specifies using the send_realtime_input method with raw PCM 16kHz audio data.
Install
Download the skill as a ZIP:
https://mp-staging.autogineer.com/agent-skills/google-gemini/gemini-live-api-dev/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip gemini-live-api-dev.zip -d .agents/skills
Documentation by Google (Gemini)
Gemini Live API Development Skill
Overview
The Live API enables low-latency, real-time voice and video interactions with Gemini over WebSockets. It processes continuous streams of audio, video, or text to deliver immediate, human-like spoken responses and background reasoning.
Key capabilities:
Bidirectional audio streaming — real-time mic-to-speaker conversations
Background reasoning (extended thinking) — multi-step background reasoning with spoken conversational fillers
Live streaming transcription — real-time speech-to-text with interim and finalized streams
Video streaming — send camera/screen frames alongside audio
Text input/output — send and receive text within a live session
Audio transcriptions — get text transcripts of both input and output audio
Voice Activity Detection (VAD) — automatic server VAD, client-side Hybrid VAD, and manual Push-to-Talk
Asynchronous function calling — non-blocking tool execution while audio continues streaming
Full-session client content — inject and update conversation turns mid-stream
Session management — context compression, session resumption, GoAway signals
Ephemeral tokens — secure client-side authentication
[!NOTE] The Live API connects directly via WebSockets. For WebRTC support or simplified integration, use a partner integration.
Models
Current Models (Use These)
gemini-3.8-live— Default option for most low-latency voice agent experiences and real-time dialogue without reasoning delays. Supports interleaved reasoning, asynchronous function calling by default (behavior: NON_BLOCKING), and full-session client content updates.gemini-3.8-live-extended-thinking— High-reasoning audio-to-audio model recommended when higher background reasoning is required during live interactions. Processes background reasoning and async tool calls (behavior: NON_BLOCKINGrequired) while streaming continuous spoken conversational fillers; lifecycle managed viainteraction_status(IN_PROGRESSvsIDLE).gemini-3.5-transcribe-live— Real-time streaming speech-to-text with interim hypotheses, finalized transcripts, smart formatting, and Hybrid VAD.gemini-3.5-live-translate-preview— Real-time speech-to-speech streaming translation across 70+ languages.
[!WARNING] Legacy Models (
gemini-3.1-flash-live-preview,gemini-2.5-flash-native-audio-*,gemini-live-2.5-flash-preview,gemini-2.0-flash-live-001): Readreferences/migration.mdfor breaking protocol changes (behavior: "NON_BLOCKING",thinking_level,interaction_status,send_client_content).
SDKs
Python:
google-genai>=2.3.0—pip install -U google-genaiJavaScript/TypeScript:
@google/genai>=2.3.0—npm install @google/genai
[!WARNING] Legacy SDKs
google-generativeai(Python) and@google/generative-ai(JS) are deprecated. Never use them.
Partner Integrations
To streamline real-time audio/video app development, use a third-party integration supporting the Gemini Live API over WebRTC or WebSockets:
LiveKit — Use the Gemini Live API with LiveKit Agents.
Pipecat by Daily — Create a real-time AI chatbot using Gemini Live and Pipecat.
Fishjam by Software Mansion — Create live video and audio streaming applications with Fishjam.
Vision Agents by Stream — Build real-time voice and video AI applications with Vision Agents.
Voximplant — Connect inbound and outbound calls to Live API with Voximplant.
Firebase AI SDK — Get started with the Gemini Live API using Firebase AI Logic.
Audio Formats
Input: Raw PCM, little-endian, 16-bit, mono. 16kHz native (will resample others). MIME type:
audio/pcm;rate=16000Output: Raw PCM, little-endian, 16-bit, mono. 24kHz sample rate.
[!IMPORTANT] Use
send_realtime_input/sendRealtimeInputfor all real-time streaming user input (audio, video, and text). On Gemini 3.8 models,send_client_content/sendClientContentis supported across the full session lifecycle with explicit roles (userormodel) to inject conversation context (turn_complete=trueunconditionally interrupts active generation).
[!WARNING] Do not use
mediainsendRealtimeInput. Use the specific keys:audiofor audio data,videofor images/video frames, andtextfor text input.
Quick Start
Authentication
Python
from google import genai
client = genai.Client(api_key="YOUR_API_KEY")JavaScript
import { GoogleGenAI } from '@google/genai';
const ai = new GoogleGenAI({ apiKey: 'YOUR_API_KEY' });Connecting to the Live API
Python
from google.genai import types
config = types.LiveConnectConfig(
response_modalities=[types.Modality.AUDIO],
system_instruction=types.Content(
parts=[types.Part(text="You are a helpful assistant.")]
)
)
async with client.aio.live.connect(model="gemini-3.8-live", config=config) as session:
pass # Session is activeJavaScript
const session = await ai.live.connect({
model: 'gemini-3.8-live',
config: {
responseModalities: ['audio'],
systemInstruction: { parts: [{ text: 'You are a helpful assistant.' }] }
},
callbacks: {
onopen: () => console.log('Connected'),
onmessage: (response) => console.log('Message:', response),
onerror: (error) => console.error('Error:', error),
onclose: () => console.log('Closed')
}
});Sending Text
Python
await session.send_realtime_input(text="Hello, how are you?")JavaScript
session.sendRealtimeInput({ text: 'Hello, how are you?' });Sending Audio
Python
await session.send_realtime_input(
audio=types.Blob(data=chunk, mime_type="audio/pcm;rate=16000")
)JavaScript
session.sendRealtimeInput({
audio: { data: chunk.toString('base64'), mimeType: 'audio/pcm;rate=16000' }
});Sending Video
Python
# frame: raw JPEG-encoded bytes
await session.send_realtime_input(
video=types.Blob(data=frame, mime_type="image/jpeg")
)JavaScript
session.sendRealtimeInput({
video: { data: frame.toString('base64'), mimeType: 'image/jpeg' }
});Receiving Audio and Text
[!IMPORTANT] A single server event can contain multiple content parts simultaneously (e.g., audio chunks and transcript). Always process all parts in each event to avoid missing content.
Python
async for response in session.receive():
content = response.server_content
if content:
# Audio — process ALL parts in each event
if content.model_turn:
for part in content.model_turn.parts:
if part.inline_data:
audio_data = part.inline_data.data
# Transcription
if content.input_transcription:
print(f"User: {content.input_transcription.text}")
if content.output_transcription:
print(f"Gemini: {content.output_transcription.text}")
# Interruption
if content.interrupted is True:
pass # Stop playback, clear audio queueJavaScript
// Inside the onmessage callback
const content = response.serverContent;
if (content?.modelTurn?.parts) {
for (const part of content.modelTurn.parts) {
if (part.inlineData) {
const audioData = part.inlineData.data; // Base64 encoded
}
}
}
if (content?.inputTranscription) console.log('User:', content.inputTranscription.text);
if (content?.outputTranscription) console.log('Gemini:', content.outputTranscription.text);
if (content?.interrupted) { /* Stop playback, clear audio queue */ }Background Reasoning (Extended Thinking)
Use gemini-3.8-live-extended-thinking when your voice agent must evaluate complex data, plan multiple steps, or handle long-running tools. The model speaks natural conversational fillers (e.g. "Checking flight options now...") while executing asynchronous tools in the background.
Key requirements:
Thinking config: Set
thinking_config=types.ThinkingConfig(thinking_level="low")("minimal"|"low"|"medium"|"high").Non-blocking tools: All function declarations must set
behavior="NON_BLOCKING". Synchronous blocking mode is not supported and returns an error.Lifecycle tracking (
interaction_status): Do not rely onturn_complete=Truealone to detect turn completion. Monitormessage.interaction_status(Python) /message.interactionStatus(JS):"IN_PROGRESS": Server is reasoning, speaking conversational fillers, or waiting for async tool responses."IDLE": Server has completed all background reasoning and tool calls; session is ready for user input.
See references/migration.md and the Thinking in Live API Guide for complete Python and JavaScript implementation examples.
Live Translation (Gemini Live Translate)
The Live API supports real-time, low-latency streaming translation of speech (audio) across 70+ languages. For full details on options and capabilities, see the Live Translate Guide.
Model
gemini-3.5-live-translate-preview— The recommended translation model for all Live Translate use cases.
Configuration (TranslationConfig)
To enable translation, specify a TranslationConfig object inside your live session setup:
Python SDK: Configure the connection using
translation_configonLiveConnectConfig:config = types.LiveConnectConfig( response_modalities=[types.Modality.AUDIO], translation_config=types.TranslationConfig( target_language_code="es", # Target language code (e.g. es, fr, pl) echo_target_language=True, ), input_audio_transcription=types.AudioTranscriptionConfig(), output_audio_transcription=types.AudioTranscriptionConfig(), )Raw WebSockets: Place
translationConfiginsidegenerationConfig:{ "setup": { "model": "models/gemini-3.5-live-translate-preview", "generationConfig": { "responseModalities": ["AUDIO"], "translationConfig": { "targetLanguageCode": "es", "echoTargetLanguage": true } } } }
Live Streaming Transcription (Gemini Live Transcribe)
The Live API supports real-time streaming speech-to-text over WebSockets with low-latency interim hypotheses, finalized transcripts, and Hybrid VAD. For full details, see the Live Transcription Guide and Colab Cookbook.
Model
gemini-3.5-transcribe-live
Modes
smart: cleans up filler words, resolves inline self-corrections, and structures formatting.verbatim(default): exact word-for-word transcript.
Python
config = types.LiveConnectConfig(
response_modalities=["TEXT"],
input_audio_transcription=types.AudioTranscriptionConfig(),
)
async with client.aio.live.connect(model="gemini-3.5-transcribe-live", config=config) as session:
# Stream audio
await session.send_realtime_input(audio=types.Blob(data=chunk, mime_type="audio/pcm;rate=16000"))
# Hybrid VAD: notify turn end on client-detected silence for zero latency
await session.send_realtime_input(audio_stream_end=True)JavaScript
const session = await ai.live.connect({
model: 'gemini-3.5-transcribe-live',
config: {
responseModalities: ['text'],
inputAudioTranscription: { mode: 'smart' }
},
callbacks: {
onmessage: (msg) => {
if (msg.serverContent?.interimInputTranscription) {
console.log('Interim:', msg.serverContent.interimInputTranscription.text);
}
if (msg.serverContent?.inputTranscription) {
console.log('Final:', msg.serverContent.inputTranscription.text);
}
}
}
});
session.sendRealtimeInput({ audio: { data: chunkBase64, mimeType: 'audio/pcm;rate=16000' } });
session.sendRealtimeInput({ audioStreamEnd: true }); // Hybrid VADRaw WebSockets
{
"setup": {
"model": "models/gemini-3.5-transcribe-live",
"generationConfig": {
"responseModalities": ["TEXT"],
"speechConfig": {
"voiceConfig": {}
}
},
"inputAudioTranscription": {
"mode": "smart"
}
}
}Limitations
Response modality — Only
TEXTorAUDIOper session, not both. Native audio models output audio (response_modalities=["AUDIO"]); enableoutput_audio_transcriptionif you need text transcripts.Audio-only session — 15 min without compression
Audio+video session — 2 min without compression
Connection lifetime — ~10 min (use session resumption)
Context window — 128k input tokens / 64k output tokens
Code execution / URL context — Not supported
Upgrading & Migration
For step-by-step migration checklists and protocol deltas when upgrading from gemini-3.1-flash-live-preview, gemini-2.5-flash-native-audio-*, or gemini-2.0-flash-live-001 to Gemini 3.8 Live or Gemini 3.8 Live Extended Thinking, read references/migration.md.
Best Practices
Use headphones when testing mic audio to prevent echo/self-interruption
Enable context window compression for sessions longer than 15 minutes
Implement session resumption to handle connection resets gracefully
Use ephemeral tokens for client-side deployments — never expose API keys in browsers
Use
send_realtime_inputfor real-time user input (audio, video, text). Usesend_client_contentwith explicituser/modelroles to inject context turns mid-streamSend
audioStreamEnd/audio_stream_end(Hybrid VAD) when the mic is paused or user finishes speakingClear audio playback queues on interruption signals (
interrupted: true)Process all parts in each server event — events can contain multiple content parts
Monitor
interaction_status(IN_PROGRESSvsIDLE) when usinggemini-3.8-live-extended-thinkingrather than relying onturn_completealone
Documentation Lookup
When MCP is Installed (Preferred)
If the search_docs tool (from the Google MCP server) is available, use it as your only documentation source:
Call
search_docswith your queryRead the returned documentation
Trust MCP results as source of truth for API details — they are always up-to-date.
[!IMPORTANT] When MCP tools are present, never fetch URLs manually. MCP provides up-to-date, indexed documentation that is more accurate and token-efficient than URL fetching.
When MCP is NOT Installed (Fallback Only)
If no MCP documentation tools are available, fetch from the official docs index:
llms.txt URL: https://aistudio.google.com/llms.txt
This index contains links to all documentation pages in .md format. Use web fetch tools to:
Fetch
llms.txtto discover available documentation pagesFetch specific pages (e.g.,
https://aistudio.google.com/docs/live-api/session-management.md)
Key Documentation Pages
[!IMPORTANT] Those are not all the documentation pages. Use the
llms.txtindex to discover available documentation pages
Live API Overview — getting started, raw WebSocket usage
Thinking in Live API — background reasoning, conversational fillers, interaction_status, non-blocking tools
Model Card: Gemini 3.8 Live — default low-latency voice agent model & migration guide
Model Card: Gemini 3.8 Live Extended Thinking — high-reasoning voice model & upgrading guide
Live Transcription — real-time speech-to-text, interim hypotheses, smart formatting, and Hybrid VAD
Live Translate — configuration options and capabilities for translation
Live API Capabilities Guide — voice config, transcription config, VAD configuration, media resolution
Live API Tool Use — function calling (sync and async), Google Search grounding
Session Management — context window compression, session resumption, GoAway signals
Ephemeral Tokens — secure client-side authentication for browser/mobile
WebSockets API Reference — raw WebSocket protocol details
Migration & Upgrading Guide — step-by-step checklists and code examples for Gemini 3.8 Live and Extended Thinking
Supported Languages
The Live API supports 70 languages including: English, Spanish, French, German, Italian, Portuguese, Chinese, Japanese, Korean, Hindi, Arabic, Russian, and many more. Native audio models automatically detect and switch languages.
Files
- ATTRIBUTION.mdAdded by AutoGineer910 B
- LICENSELicence file added by AutoGineer11.1 KiB
- SKILL.md18.2 KiB
- references/migration.md8.7 KiB
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