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examples(foundational): don't use legacy LLMUserAggregatorParams

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This commit is contained in:
Aleix Conchillo Flaqué
2025-12-11 14:11:10 -08:00
parent d33c72a8b0
commit 7e6b0839b0
6 changed files with 5 additions and 27 deletions
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8
examples/foundational/07a-interruptible-speechmatics-vad.py
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@@ -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,
user_params=LLMUserAggregatorParams(aggregation_timeout=0.005),
)
context_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[

8
examples/foundational/07a-interruptible-speechmatics.py
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@@ -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,
user_params=LLMUserAggregatorParams(aggregation_timeout=0.005),
)
context_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[

5
examples/foundational/07l-interruptible-groq.py
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@@ -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, user_params=LLMUserAggregatorParams(aggregation_timeout=0.05)
)
context_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[

5
examples/foundational/14f-function-calling-groq.py
View File

@@ -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, user_params=LLMUserAggregatorParams(aggregation_timeout=0.05)
)
context_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[

5
examples/foundational/14s-function-calling-sambanova.py
View File

@@ -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, user_params=LLMUserAggregatorParams(aggregation_timeout=0.05)
)
context_aggregator = LLMContextAggregatorPair(context)
pipeline = Pipeline(
[

1
src/pipecat/services/openai/realtime/llm.py
View File

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