I'm happy to guide you on how to store conversation transcripts locally in LiveKit! Here are a few approaches you can consider: • Post-Session Storage: You can use the

session.history

along with

add_shutdown_callback

to save the entire conversation history to a local file once the session ends. This is usually the best way to handle server-side storage. • Real-Time Logging: Another option is to listen for events like

user_input_transcribed

to capture user inputs as they happen. Just be sure to check for final transcriptions before saving to keep things accurate. • Frontend Storage: If you’re looking to store data on the client side, browser-based options like

localStorage

or

IndexedDB

can work well. Keep in mind, though, that this isn’t part of the official LiveKit SDK and is better suited for demo or simpler applications. If you'd like, I’d be more than happy to walk you through detailed steps for any of these methods or help tailor a solution to your specific needs. Just let me know! Sources: tools/server/public_legacy/index-new.html | Sending text | LiveKit Docs | Session recording and transcripts | LiveKit Docs | Recording agent sessions | LiveKit Docs | pipeline-stt/transcriber.py