examples: use OpenAILLMContext in all the examples

examples/websocket-server/bot.py

@@ -13,10 +13,7 @@ from pipecat.frames.frames import LLMMessagesFrame
 from pipecat.pipeline.pipeline import Pipeline
 from pipecat.pipeline.runner import PipelineRunner
 from pipecat.pipeline.task import PipelineTask
-from pipecat.processors.aggregators.llm_response import (
-    LLMAssistantResponseAggregator,
-    LLMUserResponseAggregator,
-)
+from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
 from pipecat.services.cartesia import CartesiaTTSService
 from pipecat.services.deepgram import DeepgramSTTService
 from pipecat.services.openai import OpenAILLMService
@@ -62,18 +59,18 @@ async def main():
         },
     ]
 
-    tma_in = LLMUserResponseAggregator(messages)
-    tma_out = LLMAssistantResponseAggregator(messages)
+    context = OpenAILLMContext(messages)
+    context_aggregator = llm.create_context_aggregator(context)
 
     pipeline = Pipeline(
         [
             transport.input(),  # Websocket input from client
             stt,  # Speech-To-Text
-            tma_in,  # User responses
+            context_aggregator.user(),
             llm,  # LLM
             tts,  # Text-To-Speech
             transport.output(),  # Websocket output to client
-            tma_out,  # LLM responses
+            context_aggregator.assistant(),
         ]
     )