livekit bug: why is the ai not able to understnad interruptions? this error seems exlucsibe to gemini realtime. code:from dotenv import load_dotenv from pathlib import Path from livekit import agents from livekit.agents.voice import AgentSession, Agent from livekit.plugins import ( openai, silero, google, elevenlabs, deepgram ) # Additional imports for Gemini realtime configuration from google.genai import types as genai_types # Language mode for TTS/STT components ("tr" for Turkish, "en" for English, etc.) LANG_MODE = "tr" # Realtime input configuration for the Gemini Live model. # This mirrors the configuration used in

voiceAgentMultiLogging.py

so that # automatic activity detection and related sensitivities are aligned across # our agents. rt_cfg = genai_types.RealtimeInputConfig( automatic_activity_detection={ "disabled": False, "start_of_speech_sensitivity": "START_SENSITIVITY_LOW", "end_of_speech_sensitivity": "END_SENSITIVITY_LOW", "prefix_padding_ms": 20, "silence_duration_ms": 100, } ) import os load_dotenv() # Load Pronet agent prompt (English) PRONET_PROMPT = Path("pronet_agent_prompt_en.txt").read_text(encoding="utf-8") class Assistant(Agent): def __init__(self) -> None: super().__init__(instructions=PRONET_PROMPT) async def entrypoint(ctx: agents.JobContext): await ctx.connect() model = google.beta.realtime.RealtimeModel( api_key=os.getenv("GEMINI_API_KEY"), model="gemini-live-2.5-flash-preview", modalities=["text"], temperature=0.8, #input_audio_transcription=None, realtime_input_config=rt_cfg, # <- typed object with the attr LK needs ) # Create AgentSession with the multimodal model session = AgentSession( llm=model, tts=elevenlabs.TTS( voice_id="cgSgspJ2msm6clMCkdW9", language="en", streaming_latency=3, ), ) # -------------------------------------------------- # DATA COLLECTION: track conversation items # -------------------------------------------------- chat_history: list[dict] = [] @session.on("conversation_item_added") def _on_item(ev): if hasattr(ev.item, "role"): role = ev.item.role text_content = getattr(ev.item, "text_content", "") or "" chat_history.append({"role": role, "text": text_content}) # Instantiate your Assistant agent and start the voice session agent_instance = Assistant() await session.start( room=ctx.room, agent=agent_instance, ) # -------------------------------------------------- # OUTPUT COLLECTED DATA # -------------------------------------------------- print("\n=== Conversation Transcript ===") for turn in chat_history: print(f"{turn['role']}: {turn['text']}") print("=== End of Transcript ===\n") if name == "__main__": agents.cli.run_app(agents.WorkerOptions(entrypoint_fnc=entrypoint))

Thanks for reaching out, Rhythm. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

no, when i speak in between the AI it does not stop talking and talks through me.

To help with the AI not stopping when you speak, you can set up the Gemini realtime model to handle interruptions smoothly. Here’s a friendly step-by-step guide: 1. Enable Interruption Handling: - Make sure the

realtime_input_config

parameter includes

activity_handling=types.ActivityHandling.INTERRUPTION

. 2. Session Configuration: - When you create the

AgentSession

, set

allow_interruptions=True

and pick a good value for

min_interruption_duration

(like 0.5 seconds). 3. Activity Detection: - Double-check that

automatic_activity_detection

is turned on and set up right so it can catch when you start talking. 4. Event Handling: - Use callbacks like

on_input_speech_started

to keep an eye on interruptions and handle them as they happen. If you want, I’m here to help you walk through adding these to your code—just let me know! Sources: livekit-agents/livekit/agents/voice/agent_session.py

like this:?from dotenv import load_dotenv from pathlib import Path from livekit import agents from livekit.agents.voice import AgentSession, Agent from livekit.plugins import ( openai, silero, google, elevenlabs, deepgram ) # Additional imports for Gemini realtime configuration from google.genai import types as genai_types from typing import Any # Language mode for TTS/STT components ("tr" for Turkish, "en" for English, etc.) LANG_MODE = "tr" # Realtime input configuration for the Gemini Live model. # This mirrors the configuration used in

voiceAgentMultiLogging.py

so that # automatic activity detection and related sensitivities are aligned across # our agents. rt_cfg = genai_types.RealtimeInputConfig( # Enable interruption handling if supported by current SDK version; fallback gracefully. _activity_handling_=getattr(genai_types.ActivityHandling, "INTERRUPTION", genai_types.ActivityHandling.NO_INTERRUPTION), _automatic_activity_detection_={ "disabled": False, "start_of_speech_sensitivity": "START_SENSITIVITY_LOW", "end_of_speech_sensitivity": "END_SENSITIVITY_LOW", "prefix_padding_ms": 20, "silence_duration_ms": 100, } ) import os load_dotenv() # Load Pronet agent prompt (English) PRONET_PROMPT = Path("pronet_agent_prompt_en.txt").read_text(encoding="utf-8") class Assistant(Agent): def __init__(self) -> None: super().__init__(instructions=PRONET_PROMPT) # ------------------------------ # INTERRUPTION EVENT CALLBACKS # ------------------------------ def on_user_started_speaking(self) -> None: print("🔊 User started speaking (interruption detected)") def on_user_stopped_speaking(self) -> None: print("🔈 User stopped speaking") def on_agent_speech_interrupted(self) -> None: print("⛔️ Agent speech interrupted by user") async def entrypoint(_ctx_: agents.JobContext): await ctx.connect() model = google.beta.realtime.RealtimeModel( _api_key_=os.getenv("GEMINI_API_KEY"), model="gemini-live-2.5-flash-preview", modalities=["text"], temperature=0.8, _#input_audio_transcription=None,_ _realtime_input_config_=rt_cfg, # <- typed object with the attr LK needs ) # Create AgentSession with the multimodal model session = AgentSession( llm=model, tts=elevenlabs.TTS( _voice_id_="cgSgspJ2msm6clMCkdW9", language="en", _streaming_latency_=3, ), _allow_interruptions_=True, _min_interruption_duration_=0.5, ) # -------------------------------------------------- # DATA COLLECTION: track conversation items # -------------------------------------------------- chat_history: list[dict] = [] @session.on("conversation_item_added") def _on_item(ev): if hasattr(ev.item, "role"): role = ev.item.role text_content = getattr(ev.item, "text_content", "") or "" chat_history.append({"role": role, "text": text_content}) # Instantiate your Assistant agent and start the voice session agent_instance = Assistant() await session.start( room=ctx.room, agent=agent_instance, ) # -------------------------------------------------- # OUTPUT COLLECTED DATA # -------------------------------------------------- print("\n=== Conversation Transcript ===") for turn in chat_history: print(f"{turn['role']}: {turn['text']}") print("=== End of Transcript ===\n") if name == "__main__": agents.cli.run_app(agents.WorkerOptions(_entrypoint_fnc_=entrypoint))

Your updated code looks great for handling interruptions! Just wanted to highlight a few things to double-check: 1. Interruption Handling: - You’ve set

activity_handling=genai_types.ActivityHandling.INTERRUPTION

in

RealtimeInputConfig

perfectly to enable interruption handling. 2. Callbacks for Interruption Events: - The methods

on_user_started_speaking

,

on_user_stopped_speaking

, and

on_agent_speech_interrupted

are all set up nicely to handle and log those interruption events. 3. Session Configuration: - Using

allow_interruptions=True

and

min_interruption_duration=0.5

in your

AgentSession

looks spot on to allow and detect interruptions properly. 4. Realtime Model Configuration: - Passing

realtime_input_config

to the

RealtimeModel

is done correctly. If you’re still running into any issues, it might be worth double-checking that your

GEMINI_API_KEY

is valid and that your SDK version supports these settings. Feel free to reach out if you want me to help troubleshoot further!