LLMAssistantAggregatorParams: copy to llm_response_universal

src/pipecat/processors/aggregators/llm_response_universal.py

@@ -57,9 +57,6 @@ from pipecat.processors.aggregators.llm_context import (
     LLMSpecificMessage,
     NotGiven,
 )
-from pipecat.processors.aggregators.llm_response import (
-    LLMAssistantAggregatorParams,
-)
 from pipecat.processors.frame_processor import FrameDirection, FrameProcessor
 from pipecat.turns.bot.base_bot_turn_start_strategy import BaseBotTurnStartStrategy
 from pipecat.turns.user.base_user_turn_start_strategy import BaseUserTurnStartStrategy
@@ -82,6 +79,20 @@ class LLMUserAggregatorParams:
     enable_user_speaking_frames: bool = True
 
 
+@dataclass
+class LLMAssistantAggregatorParams:
+    """Parameters for configuring LLM assistant aggregation behavior.
+
+    Parameters:
+        expect_stripped_words: Whether to expect and handle stripped words
+            in text frames by adding spaces between tokens. This parameter is
+            ignored when used with the newer LLMAssistantAggregator, which
+            handles word spacing automatically.
+    """
+
+    expect_stripped_words: bool = True
+
+
 class LLMContextAggregator(FrameProcessor):
     """Base LLM aggregator that uses an LLMContext for conversation storage.
 

src/pipecat/services/llm_service.py

@@ -47,7 +47,6 @@ from pipecat.frames.frames import (
 )
 from pipecat.processors.aggregators.llm_context import (
     LLMContext,
-    LLMContextMessage,
     LLMSpecificMessage,
 )
 from pipecat.processors.aggregators.llm_response import (