Merge pull request #3705 from pipecat-ai/mb/quickstart-0.0.102

Update quickstart for 0.0.102

examples/quickstart/bot.py

@@ -27,16 +27,11 @@ from loguru import logger
 print("🚀 Starting Pipecat bot...")
 print("⏳ Loading models and imports (20 seconds, first run only)\n")
 
-logger.info("Loading Local Smart Turn Analyzer V3...")
-from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
-
-logger.info("✅ Local Smart Turn Analyzer V3 loaded")
 logger.info("Loading Silero VAD model...")
 from pipecat.audio.vad.silero import SileroVADAnalyzer
 
 logger.info("✅ Silero VAD model loaded")
 
-from pipecat.audio.vad.vad_analyzer import VADParams
 from pipecat.frames.frames import LLMRunFrame
 
 logger.info("Loading pipeline components...")
@@ -55,10 +50,6 @@ 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!")
 
@@ -87,12 +78,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     context = LLMContext(messages)
     user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
         context,
-        user_params=LLMUserAggregatorParams(
+        user_params=LLMUserAggregatorParams(vad_analyzer=SileroVADAnalyzer()),
-            user_turn_strategies=UserTurnStrategies(
-                stop=[TurnAnalyzerUserTurnStopStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
-            ),
-            vad_analyzer=SileroVADAnalyzer(params=VADParams(stop_secs=0.2)),
-        ),
     )
 
     pipeline = Pipeline(

examples/quickstart/pyproject.toml

@@ -4,7 +4,7 @@ version = "0.1.0"
 description = "Quickstart example for building voice AI bots with Pipecat"
 requires-python = ">=3.10"
 dependencies = [
-    "pipecat-ai[webrtc,daily,silero,deepgram,openai,cartesia,local-smart-turn-v3,runner]",
+    "pipecat-ai[webrtc,daily,silero,deepgram,openai,cartesia,runner]",
     "pipecat-ai-cli"
 ]
 
@@ -18,3 +18,6 @@ dev = [
 line-length = 100
 [tool.ruff.lint]
 select = ["I"]
+
+ [tool.uv.sources]
+pipecat-ai = { path = "../../", editable = true }