use sonic-3
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@@ -68,7 +68,7 @@ async def entrypoint(ctx: JobContext):
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llm="openai/gpt-4.1-mini",
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llm="openai/gpt-4.1-mini",
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# Text-to-speech (TTS) is your agent's voice, turning the LLM's text into speech that the user can hear
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# Text-to-speech (TTS) is your agent's voice, turning the LLM's text into speech that the user can hear
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# See all available models as well as voice selections at https://docs.livekit.io/agents/models/tts/
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# See all available models as well as voice selections at https://docs.livekit.io/agents/models/tts/
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tts="cartesia/sonic-2:9626c31c-bec5-4cca-baa8-f8ba9e84c8bc",
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tts="cartesia/sonic-3:9626c31c-bec5-4cca-baa8-f8ba9e84c8bc",
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# VAD and turn detection are used to determine when the user is speaking and when the agent should respond
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# VAD and turn detection are used to determine when the user is speaking and when the agent should respond
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# See more at https://docs.livekit.io/agents/build/turns
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# See more at https://docs.livekit.io/agents/build/turns
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turn_detection=MultilingualModel(),
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turn_detection=MultilingualModel(),
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