Thanks — I’m responding to your question about pausing the agent for 2 seconds using the session object so the user can answer first. You have two simple options depending on what you want to achieve: • If you want the agent to delay before speaking at a particular point in your code (e.g., right after session start), add an explicit async sleep:

import asyncio

# Pause the agent for 2 seconds so the user can speak first
await asyncio.sleep(2)
# then continue with any agent actions (or just let it remain listening)

• If you want the agent to wait for the user to finish speaking and then delay 2 seconds before responding, set the session’s endpointing delay (so it waits after user stops speaking):

session = AgentSession(
    stt="your-stt-model",
    llm="your-llm-model",
    tts="your-tts-model",
    vad=your_vad_instance,
    min_endpointing_delay=2.0,  # waits 2 seconds after user stops speaking
)

A couple of practical tips: • Don’t call

session.generate_reply()

or

session.say()

immediately at startup if you want the agent to listen first. • If you prefer event-driven control, listen for user state changes (e.g.,

user_state_changed

) and then either

await asyncio.sleep(2)

before sending a reply or rely on

min_endpointing_delay

to handle the pause automatically. If you tell me which language/runtime you’re using (async Python, sync Python, Node.js, etc.) or where in the session flow you want the pause (at startup, after user stops speaking, or before a specific prompt), I can give a short, tailored code snippet. Sources: VAD and turn detection configuration guide | LiveKit | Agents Framework | livekit/livekit_composite | DeepWiki | Agent session | LiveKit Documentation