Fix test_langchain to use explicit stop strategy

The default stop strategy changed to TurnAnalyzerUserTurnStopStrategy,
which requires actual audio analysis. Use SpeechTimeoutUserTurnStopStrategy
explicitly since this test is not testing turn detection.

.github/workflows/coverage.yaml

@@ -39,6 +39,7 @@ jobs:
             --extra google \
             --extra langchain \
             --extra livekit \
+            --extra local-smart-turn-v3 \
             --extra piper \
             --extra websocket
 

.github/workflows/tests.yaml

@@ -43,6 +43,7 @@ jobs:
             --extra google \
             --extra langchain \
             --extra livekit \
+            --extra local-smart-turn-v3 \
             --extra piper \
             --extra websocket
 

tests/test_langchain.py

@@ -24,10 +24,15 @@ from pipecat.frames.frames import (
 )
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.processors.aggregators.llm_context import LLMContext
-from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
+from pipecat.processors.aggregators.llm_response_universal import (
+    LLMContextAggregatorPair,
+    LLMUserAggregatorParams,
+)
 from pipecat.processors.frame_processor import FrameProcessor
 from pipecat.processors.frameworks.langchain import LangchainProcessor
 from pipecat.tests.utils import SleepFrame, run_test
+from pipecat.turns.user_stop import SpeechTimeoutUserTurnStopStrategy
+from pipecat.turns.user_turn_strategies import UserTurnStrategies
 
 
 class TestLangchain(unittest.IsolatedAsyncioTestCase):
@@ -65,7 +70,12 @@ class TestLangchain(unittest.IsolatedAsyncioTestCase):
         self.mock_proc = self.MockProcessor("token_collector")
 
         context = LLMContext()
-        context_aggregator = LLMContextAggregatorPair(context)
+        context_aggregator = LLMContextAggregatorPair(
+            context,
+            user_params=LLMUserAggregatorParams(
+                user_turn_strategies=UserTurnStrategies(stop=[SpeechTimeoutUserTurnStopStrategy()])
+            ),
+        )
 
         pipeline = Pipeline(
             [context_aggregator.user(), proc, self.mock_proc, context_aggregator.assistant()]