Overview
This plugin allows you to use Google Gemini as an LLM provider for your voice agents.
Quick reference
This section includes a basic usage example and some reference material. For links to more detailed documentation, see Additional resources.
Installation
Install the plugin from PyPI:
uv add "livekit-agents[google]~=1.3"
pnpm add @livekit/agents-plugin-google@1.x
Authentication
The Google plugin requires authentication based on your chosen service:
- For Vertex AI, you must set the
GOOGLE_APPLICATION_CREDENTIALSenvironment variable to the path of the service account key file. For more information about mounting files as secrets when deploying to LiveKit Cloud, see File-mounted secrets . - For Google Gemini API, set the
GOOGLE_API_KEYenvironment variable.
Usage
Use Gemini within an AgentSession or as a standalone LLM service. For example, you can use this LLM in the Voice AI quickstart.
from livekit.plugins import googlesession = AgentSession(llm=google.LLM(model="gemini-3-flash-preview",),# ... tts, stt, vad, turn_detection, etc.)
import * as google from '@livekit/agents-plugin-google';const session = new voice.AgentSession({llm: google.LLM(model: "gemini-3-flash-preview",),// ... tts, stt, vad, turn_detection, etc.});
Parameters
This section describes some of the available parameters. For a complete reference of all available parameters, see the plugin reference.
ChatModels | strOptionalDefault: gemini-3-flash-previewID of the model to use. For a full list, see Gemini models.
strOptionalEnv: GOOGLE_API_KEYAPI key for Google Gemini API.
strOptionalEnv: GOOGLE_CLOUD_PROJECTGoogle Cloud project to use (only if using Vertex AI). Required if using Vertex AI and the environment variable isn't set.
strOptionalEnv: GOOGLE_CLOUD_LOCATIONGoogle Cloud location to use (only if using Vertex AI). Required if using Vertex AI and the environment variable isn't set.
Provider tools
Google Gemini supports provider tools that enable the model to use built-in capabilities executed on the model server. These tools can be used alongside function tools defined in your agent's codebase.
Available tools include:
GoogleSearch: Perform keyword search, semantic search, user search, and thread fetch on GoogleGoogleMaps: Perform search for places and businesses using Google MapsURLContext: Provide context for URLsToolCodeExecution: Execute code snippets
Currently only the Gemini Live API supports using provider tools along with function tools.
When using text models, only provider tools or function tools can be used. See issue #53 for more details.
from livekit.plugins import googlefrom google.genai import typesagent = MyAgent(llm=google.LLM(model="gemini-2.5-flash",),tools=[google.tools.GoogleSearch()],)
import * as google from '@livekit/agents-plugin-google';// currently, Agents JS supports provider tools via `geminiTools` parameter.const agent = new MyAgent({llm: google.LLM(model: "gemini-2.5-flash",geminiTools: [new google.types.GoogleSearch()],),// ... tts, stt, vad, turn_detection, etc.});
Additional resources
The following resources provide more information about using Google Gemini with LiveKit Agents.