I'm happy to share how LiveKit Agents support text-based communication through the integration of text streams. This feature allows real-time input and output of text messages, making interactions between users and agents smooth and engaging. Key Features: • Text Input: Agents keep an eye on the

lk.chat

text stream for any incoming messages. This is turned on by default, but if you ever need to, you can easily disable it using

text_enabled=False

in

RoomInputOptions

. • Text Output: Agent responses and transcriptions are sent through the

lk.transcription

text stream. You have the flexibility to sync this with audio or not by adjusting

sync_transcription

in

RoomOutputOptions

. • Text-Only Mode: If you prefer text-only interactions, just set

audio_enabled=False

in both input and output options. This way, audio tracks are turned off, but text communication stays fully active. • Frontend Integration: Developers can easily handle text streams using SDK methods like

registerTextStreamHandler

, and send messages with

sendText

or

streamText

. • Advanced Features: The Python SDK offers TTS-aligned transcription forwarding for precise word-level timing, and you can also trigger manual text input using

session.generate_reply

. If you'd like any more details or examples, please feel free to ask—I'm here to help! Sources: Agents 0.x migration guide | LiveKit Docs | examples/other/chat-stream-receiver.py | Docs::Agents | Text and transcriptions | LiveKit Docs | Text and transcriptions | LiveKit Docs