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livekit-plugins-soniox

Agent Framework plugin for services using Soniox's API.

Worth itPyPI Artificial IntelligenceReleased Aug 2026229.0K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — livekit_plugins_soniox-1.6.10-py3-none-any.whl
v1.6.10 · released 2026-08-13 · Python >=3.10.0 · 1 runtime deps: livekit-agents

Yes. The package is actively maintained, has no known vulnerabilities, installs with minimal friction, and is permissively licensed. Install it if you are building a LiveKit agent and want to use Soniox for speech services; it is the intended integration point for that use case. You will need a Soniox API key and Python 3.10+.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires a Soniox API key set in the SONIOX_API_KEY environment variable; Python 3.10 or later.
  • Installation is straightforward with a single pure-Python wheel dependency on livekit-agents.
  • The package is actively maintained with a recent release and no known vulnerabilities.

License · maintenance · safety

Apache-2.0 (permissive) — Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions.

last release 2026-08-13 (1 days) · last repo commit 2026-08-14 · 13,003 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 228,952 downloads/mo, #9,140 on PyPI

Verify before relying

pip install livekit-plugins-soniox

from livekit.plugins import soniox

session = AgentSession(
    stt=soniox.STT(),
    tts=soniox.TTS(language="en", voice="Maya", speed=1.0)
)
  • Whether Soniox API credentials are required upfront or can be deferred until runtime.
  • Specific latency characteristics for real-time speech synthesis with LLM streaming.
  • Supported Soniox voice options and language coverage beyond the documentation links provided.
Same gist for agents: .md · .json

What it is and what it does

This package is a plugin that bridges Soniox's speech APIs into the LiveKit Agents framework, enabling agent applications to transcribe audio in real time and synthesize speech responses. It wraps Soniox's WebSocket streaming interfaces for both STT (speech-to-text) and TTS (text-to-speech), allowing developers to drop Soniox components into an AgentSession alongside other LiveKit services like LLMs.

The plugin is designed for low-latency, streaming workflows: STT can run as a standalone transcription service or within an agent session, while TTS tokenizes text chunks from an LLM and sends them to Soniox as they arrive, enabling incremental speech synthesis rather than waiting for full responses. It requires only livekit-agents as a runtime dependency and a valid Soniox API key to authenticate.

Use it for

  • Build a conversational voice agent that transcribes user speech and synthesizes natural responses in real time.
  • Add live transcription to a LiveKit room session using Soniox's multilingual STT capabilities.
  • Stream LLM-generated text to Soniox TTS for low-latency speech output in interactive applications.
  • Integrate Soniox voice synthesis with configurable language, voice, and speed parameters into an existing LiveKit agent.
  • Process WebSocket-based audio streams for transcription without managing Soniox connection details directly.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

Worth it

Yes.

The package is actively maintained, has no known vulnerabilities, installs with minimal friction, and is permissively licensed. Install it if you are building a LiveKit agent and want to use Soniox for speech services; it is the intended integration point for that use case. You will need a Soniox API key and Python 3.10+.

Install

livekit-plugins-soniox on PyPI

Before you install

Installation is straightforward with a single pure-Python wheel dependency on livekit-agents. The package is actively maintained with a recent release and no known vulnerabilities.

Requires a Soniox API key set in the SONIOX_API_KEY environment variable; Python 3.10 or later.

License in practice

Licensed under Apache-2.0 (permissive), allowing use in commercial and proprietary projects with minimal restrictions.

Quickstart

pip install livekit-plugins-soniox

from livekit.plugins import soniox

session = AgentSession(
    stt=soniox.STT(),
    tts=soniox.TTS(language="en", voice="Maya", speed=1.0)
)

Verify before relying

  • Whether Soniox API credentials are required upfront or can be deferred until runtime.
  • Specific latency characteristics for real-time speech synthesis with LLM streaming.
  • Supported Soniox voice options and language coverage beyond the documentation links provided.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.10.0
Install frictionLow. Pure-Python wheel
Runtime dependencies
1 package
livekit-agents
MaintenanceActively maintained 1 days since the last release
Last repo commit
First released
Downloads228,952 / month, #9,140 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone 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 :: Scientific/Engineering :: Artificial Intelligence

Evidence: livekit_plugins_soniox-1.6.10-py3-none-any.whl

Tags

Capabilities
soniox stt tts pluginlivekit speech recognition synthesisreal-time transcription agentwebsocket speech-to-textlivekit audio processingsoniox integrationagent framework audio
Topics
speech-recognitiontext-to-speechrealtime-audio
PyPI keywords
audiolivekitrealtimesonioxspeech-to-textstttext-to-speechttswebrtc

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See also livekit-plugins-gladia · livekit-plugins-inworld · livekit-plugins-speechmatics · mlx-audio · soniox · livekit-plugins-aws · livekit-plugins-deepgram · fish-audio-sdk · livekit-plugins-noise-cancellation · livekit-plugins-cartesia

Further reading