livekit-plugins-google
Agent Framework plugin for services from Google Cloud
Decision gist · record as of 2026-08-14
Yes, if you're building real-time conversational applications with LiveKit and want to use Google's AI services. The package is actively maintained, has low install friction, and integrates cleanly with the LiveKit Agents framework. Requires a Google Cloud account and API setup; not suitable if you need offline-only or non-Google AI backends.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later, a Google Cloud account with credentials, and enabled Cloud Speech-to-Text and Cloud Text-to-Speech APIs.
- Low friction install with a pure-Python wheel.
- The package is actively maintained with a recent release and depends on well-established Google Cloud libraries, though you'll need Google Cloud credentials and enabled APIs.
License · maintenance · safety
Apache-2.0 (permissive) — Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,003 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 1,174,642 downloads/mo, #4,266 on PyPI
Alternatives
Verify before relying
pip install livekit-plugins-google
from livekit.agents import google
# Use with LiveKit agents framework
# Requires google-auth credentials and enabled Google Cloud APIs- Whether Gemini Live API models (gemini-3.1-flash-live-preview, gemini-2.5-flash-native-audio-preview variants) are production-ready or still in preview.
- Pricing and quota implications of using multiple Google Cloud services (Speech-to-Text, Text-to-Speech, Gemini) simultaneously.
- Whether the package handles automatic credential refresh or requires manual management.
What it is and what it does
This package is a plugin for LiveKit Agents that bridges Google Cloud AI services into real-time conversational applications. It provides integrations for Gemini and Gemini Live models, Cloud Speech-to-Text for transcription, and Cloud Text-to-Speech for audio synthesis. The plugin abstracts away the complexity of wiring these services together, letting you build voice-based agents that can listen, understand, reason, and speak using Google's AI models.
You'll need a Google Cloud account with credentials configured (either passed directly or via Application Default Credentials) and the respective APIs enabled for your project. The package supports multiple Gemini Live models across both the Gemini Developer API and Vertex AI, though they have different model names and slightly different behavior. It's designed for developers building real-time interactive applications like voice assistants or conversational bots.
Use it for
- Build real-time voice assistants using Gemini Live API with native audio streaming.
- Add speech-to-text transcription to LiveKit video/voice applications via Cloud Speech-to-Text.
- Synthesize natural-sounding responses with Cloud Text-to-Speech in agent conversations.
- Create interactive conversational agents that understand and respond in real time.
- Deploy multi-modal AI agents combining video, audio, and text in LiveKit sessions.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you're building real-time conversational applications with LiveKit and want to use Google's AI services.
The package is actively maintained, has low install friction, and integrates cleanly with the LiveKit Agents framework. Requires a Google Cloud account and API setup; not suitable if you need offline-only or non-Google AI backends.
Install
livekit-plugins-google on PyPI
Before you install
Low friction install with a pure-Python wheel. The package is actively maintained with a recent release and depends on well-established Google Cloud libraries, though you'll need Google Cloud credentials and enabled APIs.
Requires Python 3.10 or later, a Google Cloud account with credentials, and enabled Cloud Speech-to-Text and Cloud Text-to-Speech APIs.
License in practice
Apache-2.0 permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install livekit-plugins-google
from livekit.agents import google
# Use with LiveKit agents framework
# Requires google-auth credentials and enabled Google Cloud APIsVerify before relying
- Whether Gemini Live API models (gemini-3.1-flash-live-preview, gemini-2.5-flash-native-audio-preview variants) are production-ready or still in preview.
- Pricing and quota implications of using multiple Google Cloud services (Speech-to-Text, Text-to-Speech, Gemini) simultaneously.
- Whether the package handles automatic credential refresh or requires manual management.
Package facts
| License | Apache-2.0 permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 5 packagesgoogle-authgoogle-cloud-speechgoogle-cloud-texttospeechgoogle-genailivekit-agents |
| Maintenance | Actively maintained 1 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 1,174,642 / month, #4,266 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Topic :: Multimedia :: Sound/AudioTopic :: Multimedia :: VideoTopic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: livekit_plugins_google-1.6.10-py3-none-any.whl
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