Palabra plugin for LiveKit Agents
Support for Palabra realtime Speech-to-Text and Text-to-Speech APIs, using WebSocket streaming interfaces.
See STT documentation and TTS documentation for more information.
Installation
pip install livekit-plugins-palabra
Pre-requisites
The Palabra plugin requires an API key to authenticate. You can create one at platform.palabra.ai/api-keys.
Set the API key in your .env file:
PALABRA_API_KEY=<your_palabra_api_key>
Usage
Speech-to-Text (STT)
Use Palabra STT in an AgentSession or as a standalone streaming transcription service. The spoken language is auto-detected by default:
from livekit.agents import AgentSession
from livekit.plugins import palabra
session = AgentSession(
stt=palabra.STT(),
# ... llm, tts, etc.
)
Live translation
Palabra STT can translate speech on the fly. With translate_languages set, each emitted SpeechData maps as: language/text = the translation; source_languages/source_texts = the original speech. Final transcripts arrive already in the target language, so a translating agent works without an LLM in the loop:
stt = palabra.STT(translate_languages=["es"])
Text-to-Speech (TTS)
Use Palabra TTS for real-time speech synthesis:
from livekit.plugins import palabra
session = AgentSession(
tts=palabra.TTS(
language="en",
voice_id="default_low", # or "default_high", or any Palabra voice id
speed=0.5, # 0.0-1.0; 0.5 is natural conversational pace
),
# ... stt, llm, etc.
)
The TTS streams over one persistent WebSocket session: text chunks coming from the LLM are tokenized into sentences and synthesized as they arrive, and an interruption cancels the in-flight synthesis server-side.
More information and reference
- Palabra realtime STT API
- Palabra realtime TTS API
- Palabra platform — API keys and usage
- palabra-ai Python SDK — the transport this plugin builds on
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