Smart Turn

uv add "vision-agents[smart_turn]"

from vision_agents.core import Agent, User
from vision_agents.plugins import smart_turn, gemini, deepgram, elevenlabs, getstream

agent = Agent(
    edge=getstream.Edge(),
    agent_user=User(name="Assistant", id="agent"),
    instructions="You are a helpful assistant.",
    llm=gemini.LLM("gemini-3-flash-preview"),
    stt=deepgram.STT(),
    tts=elevenlabs.TTS(),
    turn_detection=smart_turn.TurnDetection(),
)

from vision_agents.core.turn_detection import TurnStarted, TurnEnded
from vision_agents.plugins import smart_turn

turn_detection = smart_turn.TurnDetection()

async for signal in turn_detection.output:
    if isinstance(signal, TurnStarted):
        print(f"User started speaking: {signal.participant.user_id}")
    elif isinstance(signal, TurnEnded):
        print(f"User finished speaking: confidence={signal.confidence}")