salmon-belgium-62133
01/02/2026, 10:37 AMtall-airline-16756
01/02/2026, 10:37 AMtall-airline-16756
01/02/2026, 10:38 AMgenerate_reply() with the goodbye instructions and disable interruptions:
await self.session.generate_reply(
instructions="Thank you for your time. Goodbye.",
allow_interruptions=False,
)
1. After the reply finishes, shut down the session to end the call:
await self.session.shutdown()
Tell me which event should trigger the goodbye (or share a snippet of your current logic) and I’ll provide exact code you can drop into your flow.
Sources: Collect recording consent with tasks | LiveKit docssalmon-belgium-62133
01/02/2026, 11:06 AMtall-airline-16756
01/02/2026, 11:07 AMgeneration_created event (the model never starts producing). I’ll address the part of your message about the error and your snippet.
Quick checklist and fixes to try (start with 1, then 2, etc.):
1. Ensure the prompt is non-empty and valid
• Verify prompt_text.strip() is not empty before calling generate_reply().
1. Give the model more time
• Increase the timeout (10s can be too short). Try 15–30 seconds:
await asyncio.wait_for(
session.generate_reply(instructions=prompt_text, allow_interruptions=False),
timeout=20.0
)
1. Make sure the realtime session is active
• Check the session/room is still connected before generating. If the session was closed, generate_reply() will never start.
1. Ensure the agent has a “turn” to speak
• Realtime LLMs often require prior user activity. Simulate or commit a user transcript so the agent will start:
await session._agent._activity.push_user_transcript("User: ok, please end the call.")
await session._agent._activity.commit_user_transcript()
await session.generate_reply(instructions=prompt_text, allow_interruptions=False)
• If your SDK version provides generate_empty_user_input() or a similar helper, use that to force agent turn.
1. Prevent interruptions
• Use allow_interruptions=False (you already do). If interruptions still occur, mute input or ensure no incoming audio/events while goodbye plays.
1. Instrument events to debug
• Log realtime events (generation_created, content_created, audio events`) to see which event is missing. That reveals whether the LLM never started or an event was dropped.
If you want, share:
• The exact prompt_text (sanitized).
• Which LLM provider/version you’re using (OpenAI Realtime, Grok, etc.).
• A short snippet showing how/when you close the room or shutdown the session.
I’ll provide the exact code changes for your flow once you share one of those details.
Sources: Gemini Realtime Agent with Live Vision | LiveKit docs | Introducing the Grok Voice Agent API in partnership with xAIsalmon-belgium-62133
01/02/2026, 11:11 AMtall-airline-16756
01/02/2026, 11:12 AMgeneration_created event so the generation never started. Try these targeted steps:
1. Increase timeout
• Use 20–30s instead of 10s:
await asyncio.wait_for(
session.generate_reply(instructions=prompt_text, allow_interruptions=False),
timeout=25.0
)
1. Ensure the agent has a user turn
• Gemini realtime often won’t “speak first.” Simulate or commit a user transcript immediately before generate:
await session._agent._activity.push_user_transcript("Please end the call.")
await session._agent._activity.commit_user_transcript()
Then call generate_reply().
1. Verify prompt and session state
• Confirm prompt_text is non-empty (prompt_text.strip()).
• Check the realtime session/room is still connected and active before calling generate_reply().
1. Prevent interruptions
• Keep allow_interruptions=False. If upstream audio/events can interrupt, mute or pause incoming audio while goodbye plays.
1. Debug events (if it still times out)
• Log realtime events to see what’s missing: generation_created, content_created, audio chunks. That shows whether Gemini started generation or an event was dropped.
If this doesn’t resolve it, please share:
• The exact (sanitized) prompt_text.
• A small snippet showing where you call generate_reply() and any shutdown/room disconnect code.
I’ll give the precise change to drop into your flow once I can see that snippet.