Reverting quickstart to match main

examples/quickstart/bot.py

@@ -36,7 +36,6 @@ from pipecat.audio.vad.silero import SileroVADAnalyzer
 
 logger.info("✅ Silero VAD model loaded")
 
-from pipecat.audio.turn.smart_turn.base_smart_turn import SmartTurnParams
 from pipecat.audio.vad.vad_analyzer import VADParams
 from pipecat.frames.frames import LLMRunFrame
 
@@ -45,10 +44,7 @@ from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineParams, PipelineTask
 from pipecat.processors.aggregators.llm_context import LLMContext
-from pipecat.processors.aggregators.llm_response_universal import (
-    LLMContextAggregatorPair,
-    LLMUserAggregatorParams,
-)
+from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
 from pipecat.processors.frameworks.rtvi import RTVIConfig, RTVIObserver, RTVIProcessor
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
@@ -57,10 +53,6 @@ from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
-from pipecat.turns.user_stop.turn_analyzer_user_turn_stop_strategy import (
-    TurnAnalyzerUserTurnStopStrategy,
-)
-from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 logger.info("✅ All components loaded successfully!")
 
@@ -87,18 +79,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     ]
 
     context = LLMContext(messages)
-    context_aggregator = LLMContextAggregatorPair(
-        context,
-        user_params=LLMUserAggregatorParams(
-            user_turn_strategies=UserTurnStrategies(
-                stop=[
-                    TurnAnalyzerUserTurnStopStrategy(
-                        turn_analyzer=LocalSmartTurnAnalyzerV3(params=SmartTurnParams())
-                    )
-                ],
-            )
-        ),
-    )
+    context_aggregator = LLMContextAggregatorPair(context)
 
     rtvi = RTVIProcessor(config=RTVIConfig(config=[]))
 
@@ -149,11 +130,13 @@ async def bot(runner_args: RunnerArguments):
             audio_in_enabled=True,
             audio_out_enabled=True,
             vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
+            turn_analyzer=LocalSmartTurnAnalyzerV3(),
         ),
         "webrtc": lambda: TransportParams(
             audio_in_enabled=True,
             audio_out_enabled=True,
             vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
+            turn_analyzer=LocalSmartTurnAnalyzerV3(),
         ),
     }