examples(foundational): don't use legacy LLMUserAggregatorParams

examples/foundational/07a-interruptible-speechmatics-vad.py

@@ -15,9 +15,6 @@ 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 import (
-    LLMUserAggregatorParams,
-)
 from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
@@ -132,10 +129,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
 
         context = LLMContext(messages)
-        context_aggregator = LLMContextAggregatorPair(
+        context_aggregator = LLMContextAggregatorPair(context)
-            context,
-            user_params=LLMUserAggregatorParams(aggregation_timeout=0.005),
-        )
 
         pipeline = Pipeline(
             [

examples/foundational/07a-interruptible-speechmatics.py

@@ -19,9 +19,6 @@ 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 import (
-    LLMUserAggregatorParams,
-)
 from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
@@ -121,10 +118,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
         ]
 
         context = LLMContext(messages)
-        context_aggregator = LLMContextAggregatorPair(
+        context_aggregator = LLMContextAggregatorPair(context)
-            context,
-            user_params=LLMUserAggregatorParams(aggregation_timeout=0.005),
-        )
 
         pipeline = Pipeline(
             [

examples/foundational/07l-interruptible-groq.py

@@ -19,7 +19,6 @@ 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 import LLMUserAggregatorParams
 from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
@@ -76,9 +75,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     ]
 
     context = LLMContext(messages)
-    context_aggregator = LLMContextAggregatorPair(
+    context_aggregator = LLMContextAggregatorPair(context)
-        context, user_params=LLMUserAggregatorParams(aggregation_timeout=0.05)
-    )
 
     pipeline = Pipeline(
         [

examples/foundational/14f-function-calling-groq.py

@@ -21,7 +21,6 @@ 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 import LLMUserAggregatorParams
 from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
@@ -109,9 +108,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     ]
 
     context = LLMContext(messages, tools)
-    context_aggregator = LLMContextAggregatorPair(
+    context_aggregator = LLMContextAggregatorPair(context)
-        context, user_params=LLMUserAggregatorParams(aggregation_timeout=0.05)
-    )
 
     pipeline = Pipeline(
         [

examples/foundational/14s-function-calling-sambanova.py

@@ -21,7 +21,6 @@ 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 import LLMUserAggregatorParams
 from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
 from pipecat.runner.types import RunnerArguments
 from pipecat.runner.utils import create_transport
@@ -115,9 +114,7 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
     ]
 
     context = LLMContext(messages, tools)
-    context_aggregator = LLMContextAggregatorPair(
+    context_aggregator = LLMContextAggregatorPair(context)
-        context, user_params=LLMUserAggregatorParams(aggregation_timeout=0.05)
-    )
 
     pipeline = Pipeline(
         [

src/pipecat/services/openai/realtime/llm.py

@@ -23,7 +23,6 @@ from pipecat.frames.frames import (
     BotStoppedSpeakingFrame,
     CancelFrame,
     EndFrame,
-    ErrorFrame,
     Frame,
     InputAudioRawFrame,
     InterimTranscriptionFrame,