add start timestamp to user and assistant turn messages
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@@ -34,7 +34,6 @@ from pipecat.transports.daily.transport import DailyParams
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from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
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from pipecat.turns.user_stop import TurnAnalyzerUserTurnStopStrategy
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from pipecat.turns.user_turn_strategies import UserTurnStrategies
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from pipecat.utils.time import time_now_iso8601
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load_dotenv(override=True)
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@@ -61,7 +60,7 @@ class TranscriptHandler:
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f"TranscriptHandler initialized {'with output_file=' + output_file if output_file else 'with log output only'}"
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)
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async def save_message(self, role: str, content: str):
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async def save_message(self, role: str, content: str, timestamp: str):
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"""Save a single transcript message.
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Outputs the message to the log and optionally to a file.
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@@ -70,7 +69,6 @@ class TranscriptHandler:
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role: Who generated this transcript
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content: The transcript to save
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"""
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timestamp = time_now_iso8601()
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line = f"[{timestamp}] {role}: {content}"
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# Always log the message
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@@ -91,7 +89,7 @@ class TranscriptHandler:
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message: The new user message
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"""
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logger.debug(f"Received user transcript update")
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await self.save_message("user", message.content)
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await self.save_message("user", message.content, message.timestamp)
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async def on_assistant_transcript(self, message: AssistantTurnStoppedMessage):
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"""Handle new assistant transcript message.
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@@ -100,7 +98,7 @@ class TranscriptHandler:
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message: The new assistant message
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"""
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logger.debug(f"Received assistant transcript update")
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await self.save_message("assistant", message.content)
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await self.save_message("assistant", message.content, message.timestamp)
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# We store functions so objects (e.g. SileroVADAnalyzer) don't get
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@@ -110,11 +110,13 @@ class UserTurnStoppedMessage:
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Parameters:
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content: The message content/text.
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timestamp: When the user turn started.
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user_id: Optional identifier for the user.
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"""
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content: str
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timestamp: str
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user_id: Optional[str] = None
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@@ -127,10 +129,12 @@ class AssistantTurnStoppedMessage:
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Parameters:
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content: The message content/text.
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timestamp: When the assistant turn started.
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"""
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content: str
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timestamp: str
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@dataclass
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@@ -142,7 +146,7 @@ class AssistantThoughtMessage:
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Parameters:
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content: The message content/text.
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timestamp: When the thought was started.
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timestamp: When the thought started.
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"""
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@@ -328,6 +332,7 @@ class LLMUserAggregator(LLMContextAggregator):
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user_turn_strategies = self._params.user_turn_strategies or UserTurnStrategies()
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self._user_is_muted = False
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self._user_turn_start_timestamp = ""
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self._user_turn_controller = UserTurnController(
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user_turn_strategies=user_turn_strategies,
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@@ -527,6 +532,8 @@ class LLMUserAggregator(LLMContextAggregator):
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):
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logger.debug(f"{self}: User started speaking (user turn start strategy: {strategy})")
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self._user_turn_start_timestamp = time_now_iso8601()
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if params.enable_user_speaking_frames:
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await self.broadcast_frame(UserStartedSpeakingFrame)
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@@ -549,8 +556,11 @@ class LLMUserAggregator(LLMContextAggregator):
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# Always push context frame.
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aggregation = await self.push_aggregation()
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message = UserTurnStoppedMessage(content=aggregation)
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message = UserTurnStoppedMessage(
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content=aggregation, timestamp=self._user_turn_start_timestamp
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)
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await self._call_event_handler("on_user_turn_stopped", strategy, message)
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self._user_turn_start_timestamp = ""
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async def _on_user_turn_stop_timeout(self, controller):
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await self._call_event_handler("on_user_turn_stop_timeout")
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@@ -633,6 +643,8 @@ class LLMAssistantAggregator(LLMContextAggregator):
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self._function_calls_in_progress: Dict[str, Optional[FunctionCallInProgressFrame]] = {}
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self._context_updated_tasks: Set[asyncio.Task] = set()
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self._assistant_turn_start_timestamp = ""
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self._thought_append_to_context = False
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self._thought_llm: str = ""
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self._thought_aggregation: List[TextPartForConcatenation] = []
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@@ -960,14 +972,20 @@ class LLMAssistantAggregator(LLMContextAggregator):
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self._context_updated_tasks.discard(task)
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async def _trigger_assistant_turn_started(self):
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self._assistant_turn_start_timestamp = time_now_iso8601()
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await self._call_event_handler("on_assistant_turn_started")
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async def _trigger_assistant_turn_stopped(self):
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aggregation = await self.push_aggregation()
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if aggregation:
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message = AssistantTurnStoppedMessage(content=aggregation)
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message = AssistantTurnStoppedMessage(
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content=aggregation, timestamp=self._assistant_turn_start_timestamp
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)
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await self._call_event_handler("on_assistant_turn_stopped", message)
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self._assistant_turn_start_timestamp = ""
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class LLMContextAggregatorPair:
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"""Pair of LLM context aggregators for updating context with user and assistant messages."""
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