fal STT integration guide

Overview

fal provides a hosted inference platform for a wide variety of model types, including Wizper, a speech-to-text model based on Whisper v3 Large. With LiveKit's fal integration and the Agents framework, you can build AI agents that integrate Wizper for fast and accurate transcription.

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:

pip install "livekit-agents[fal]~=1.0"

Authentication

The fal plugin requires a fal API key.

Set FAL_KEY in your .env file.

Usage

Use fal 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 fal

session = AgentSession(
   stt = fal.STT(
      language="de",
      task="translate",
   ),
   # ... llm, tts, etc.
)

Parameters

This section describes some of the available parameters. See the plugin reference for a complete list of all available parameters.

Additional resources

The following resources provide more information about using fal with LiveKit Agents.

Python package

The livekit-plugins-fal package on PyPI.

Plugin reference

Reference for the fal STT plugin.

GitHub repo

View the source or contribute to the LiveKit fal STT plugin.

fal docs

fal's full docs site.