You're asking whether a realtime model can provide both audio and text so you can save chat history — yes. • Realtime agent output includes audio plus time-aligned text transcriptions by default. • Transcriptions are available via events like

conversation_item_added

and via transcription hooks (e.g.,

transcription_node

), so you can capture and store them as chat history. • The session history object (

session.history

) holds the conversation text and can be saved; you can also generate a session report with

ctx.make_session_report()

. • If you want tighter control, set the realtime model to return only

text

and run your own TTS (modalities=[ "text" ]) so you always have immediate text for logging while producing audio separately. Would you like the exact event names/code snippets for capturing the transcription and saving

session.history

in your app? Sources: Text and transcriptions | LiveKit docs | Pipeline nodes and hooks | LiveKit docs | Observability data hooks | LiveKit docs | OpenAI Realtime API plugin guide | LiveKit docs