To retrieve the conversation between a user and an agent in LiveKit's Agents framework, you can use the following methods: • Using event listeners to create transcriptions: Save the text of a conversation by listening for agent events such as

user_speech_committed

(when user speech is committed) and

agent_stopped_speaking

(when the agent stops speaking). • Accessing session history: Use the

session.history

property to access the entire conversation history. You can also set up a shutdown callback to save this history when the session ends. For example:

async def write_transcript():
  current_date = datetime.now().strftime("%Y%m%d_%H%M%S")
  filename = f"/tmp/transcript_{ctx.room.name}_{current_date}.json"
  with open(filename, 'w') as f:
    json.dump(session.history.to_dict(), f, indent=2)
  print(f"Transcript for {ctx.room.name} saved to {filename}")

ctx.add_shutdown_callback(write_transcript)

Additionally, for real-time access to the conversation, you can listen for events like

conversation_item_added

(emitted whenever an item is added to the chat history) and

user_input_transcribed

(emitted whenever user input is transcribed). For more details and example code, you can refer to the MultimodalAgent example at: https://github.com/livekit/agents/blob/main/examples/conversation_persistor.py. Sources: Recording agent sessions | LiveKit Docs | Session recording and transcripts | LiveKit Docs