Update idle prompt
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@@ -52,7 +52,10 @@
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"没有",
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"否"
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],
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"user_speech_timeout_sec": 0.8
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"user_speech_timeout_sec": 0.8,
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"idle_prompt_timeout_sec": 8.0,
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"idle_prompt_max_count": 1,
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"idle_prompt_text": "我先停在这里。你可以继续说你的想法,或者让我根据刚才的内容帮你整理下一步。"
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},
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"agent": {
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"system_prompt": "You are a helpful, friendly voice assistant. Keep responses concise and natural for spoken conversation.",
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@@ -42,7 +42,10 @@
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"你好",
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"在吗"
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],
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"user_speech_timeout_sec": 0.2
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"user_speech_timeout_sec": 0.8,
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"idle_prompt_timeout_sec": 8.0,
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"idle_prompt_max_count": 3,
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"idle_prompt_text": "我先停在这里。你可以继续说你的想法,或者让我根据刚才的内容帮你整理下一步。"
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},
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"agent": {
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"system_prompt": "FastGPT app owns the system prompt when send_system_prompt is false.",
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@@ -78,6 +78,12 @@ class TurnConfig:
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vad: VADConfig = field(default_factory=VADConfig)
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user_speech_timeout_sec: float = 1.0
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idle_prompt_timeout_sec: float = 0.0
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idle_prompt_max_count: int = 1
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idle_prompt_text: str = (
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"我先停在这里。你可以继续说你的想法,"
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"或者让我根据刚才的内容帮你整理下一步。"
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)
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interruption_min_chars: int = 3
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interruption_use_interim: bool = True
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interruption_short_replies: list[str] = field(
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@@ -263,6 +269,15 @@ def config_from_dict(data: dict) -> EngineConfig:
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user_speech_timeout_sec=float(
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turn.get("user_speech_timeout_sec", TurnConfig().user_speech_timeout_sec)
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),
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idle_prompt_timeout_sec=float(
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turn.get("idle_prompt_timeout_sec", TurnConfig().idle_prompt_timeout_sec)
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),
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idle_prompt_max_count=int(
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turn.get("idle_prompt_max_count", TurnConfig().idle_prompt_max_count)
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),
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idle_prompt_text=str(
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turn.get("idle_prompt_text", TurnConfig().idle_prompt_text)
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),
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interruption_min_chars=int(
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turn.get("interruption_min_chars", TurnConfig().interruption_min_chars)
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),
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@@ -146,6 +146,7 @@ async def run_pipeline_with_serializer(
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user_params=LLMUserAggregatorParams(
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vad_analyzer=SileroVADAnalyzer(params=vad_params),
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user_turn_strategies=user_turn_strategies,
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user_idle_timeout=config.turn.idle_prompt_timeout_sec,
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),
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)
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@@ -188,6 +189,7 @@ async def run_pipeline_with_serializer(
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),
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idle_timeout_secs=config.session.inactivity_timeout_sec,
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)
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idle_prompt_count = 0
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@transport.event_handler("on_client_connected")
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async def on_client_connected(_transport, _client):
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@@ -216,6 +218,8 @@ async def run_pipeline_with_serializer(
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@user_aggregator.event_handler("on_user_turn_stopped")
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async def on_user_turn_stopped(_aggregator, _strategy, message: UserTurnStoppedMessage):
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nonlocal idle_prompt_count
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idle_prompt_count = 0
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logger.info(f"User: {message.content}")
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text = (message.content or "").strip()
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if not text:
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@@ -231,6 +235,17 @@ async def run_pipeline_with_serializer(
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)
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)
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@user_aggregator.event_handler("on_user_turn_idle")
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async def on_user_turn_idle(_aggregator):
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nonlocal idle_prompt_count
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text = config.turn.idle_prompt_text.strip()
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if not text or idle_prompt_count >= config.turn.idle_prompt_max_count:
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return
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idle_prompt_count += 1
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logger.info("User idle prompt triggered")
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await task.queue_frames([TTSSpeakFrame(text)])
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# NOTE: assistant turn started/final events are emitted by
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# ProductTextStreamProcessor, upstream of TTS, so text streams to the
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# client ahead of audio. This logger is kept for server-side visibility.
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