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Overview
xAI speech-to-text is available in LiveKit Agents through LiveKit Inference and the xAI plugin. With LiveKit Inference, your agent runs on LiveKit's infrastructure to minimize latency. No separate provider API key is required, and usage and rate limits are managed through LiveKit Cloud. Use the plugin instead if you want to manage your own billing and rate limits. Pricing for LiveKit Inference is available on the pricing page.
LiveKit Inference
Use LiveKit Inference to access xAI STT without a separate xAI API key.
| Model name | Model ID | Languages |
|---|---|---|
Speech to Text | xai/stt-1 or xai/stt or xai/grok-stt | enarcsdanlfrdehiiditjakomsfaplptroruessvthtrvifilmk |
Usage
To use xAI, use the STT class from the inference module:
from livekit.agents import AgentSession, inferencesession = AgentSession(stt=inference.STT(model="xai/stt-1",language="en"),# ... llm, tts, vad, turn_handling, etc.)
import { AgentSession, inference } from '@livekit/agents';const session = new AgentSession({stt: new inference.STT({model: "xai/stt-1",language: "en"}),// ... llm, tts, vad, turnHandling, etc.});
Parameters
modelstringThe model to use for the STT. See model IDs for available models.
languageLanguageCodeLanguage code for the transcription. If not set, the provider default applies.
extra_kwargsdictAdditional parameters to pass to the xAI STT API. See model parameters for supported fields.
In Node.js this parameter is called modelOptions.
Model parameters
Pass the following parameters inside extra_kwargs (Python) or modelOptions (Node.js):
| Parameter | Type | Default | Notes |
|---|---|---|---|
diarize | bool | False | Set to True to enable speaker diarization. |
endpointing | int | Duration of silence in milliseconds before an utterance is considered final. Valid range: 0–5000. | |
format | bool | Whether to apply inverse text normalization (for example, "one hundred dollars" → "$100"). Requires language to be set. | |
interim_results | bool | True | Whether to return in-progress transcription results before the final transcript. Disable to reduce the number of messages at the cost of higher latency. |
String descriptors
As a shortcut, you can also pass a model ID string directly to the stt argument in your AgentSession:
from livekit.agents import AgentSessionsession = AgentSession(stt="xai/stt-1:en",# ... llm, tts, vad, turn_handling, etc.)
import { AgentSession } from '@livekit/agents';const session = new AgentSession({stt: "xai/stt-1:en",// ... llm, tts, vad, turnHandling, etc.});
Plugin
LiveKit's plugin support for xAI lets you connect directly to xAI's STT API with your own API key.
Installation
Install the plugin from PyPI or npm:
uv add "livekit-agents[xai]~=1.5"
pnpm add @livekit/agents-plugin-xai
Authentication
The xAI plugin requires an xAI API key.
Set XAI_API_KEY in your .env file.
Usage
Use xAI STT in an AgentSession or as a standalone transcription service. For example, you can use this STT in the Voice AI quickstart.
from livekit.plugins import xaisession = AgentSession(stt=xai.STT(language="en",),# ... llm, tts, etc.)
import * as xai from '@livekit/agents-plugin-xai';const session = new voice.AgentSession({stt: new xai.STT({language: "en",}),// ... llm, tts, etc.});
Parameters
This section describes some of the available parameters. See the plugin reference links in the Additional resources section for a complete list of all available parameters.
api_keystringEnv: XAI_API_KEYxAI API key.
languagestringDefault: enBCP-47 language code for transcription (for example, "en", "fr", "de").
enable_interim_resultsboolDefault: TrueWhether to return in-progress transcription results before the final transcript. Disable to reduce the number of messages at the cost of higher latency.
In Node.js this parameter is called interimResults.
enable_diarizationboolDefault: FalseSet to True to enable speaker diarization.
In Node.js this parameter is called enableDiarization.
Speaker diarization
Enable speaker diarization so the STT assigns a speaker identifier to each word or segment. When enabled, transcript events include a speaker_id, and the STT reports capabilities.diarization = True.
With diarization enabled, you can wrap the xAI STT with MultiSpeakerAdapter for primary speaker detection and transcript formatting.
Enable speaker diarization in the STT constructor:
stt = inference.STT(model="xai/stt-1",extra_kwargs={"diarize": True,},)
stt = xai.STT(enable_diarization=True,)
Additional resources
The following resources provide more information about using xAI with LiveKit Agents.