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Update VoicemailDetector to use universal LLMContext

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This commit is contained in:
Paul Kompfner
2025-09-24 12:58:42 -04:00
parent 463752360b
commit 6d0beef944
2 changed files with 5 additions and 5 deletions
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3
examples/foundational/44-voicemail-detection.py
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@@ -14,13 +14,12 @@ from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnal
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.audio.vad.vad_analyzer import VADParams
from pipecat.extensions.voicemail.voicemail_detector import VoicemailDetector
from pipecat.frames.frames import EndTaskFrame, TTSSpeakFrame
from pipecat.frames.frames import TTSSpeakFrame
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_universal import LLMContextAggregatorPair
from pipecat.processors.frame_processor import FrameDirection
from pipecat.runner.types import RunnerArguments
from pipecat.runner.utils import create_transport
from pipecat.services.cartesia.tts import CartesiaTTSService

7
src/pipecat/extensions/voicemail/voicemail_detector.py
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@@ -36,7 +36,8 @@ from pipecat.frames.frames import (
UserStoppedSpeakingFrame,
)
from pipecat.pipeline.parallel_pipeline import ParallelPipeline
from pipecat.processors.aggregators.openai_llm_context import OpenAILLMContext
from pipecat.processors.aggregators.llm_context import LLMContext
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
from pipecat.processors.frame_processor import FrameDirection, FrameProcessor, FrameProcessorSetup
from pipecat.services.llm_service import LLMService
from pipecat.sync.base_notifier import BaseNotifier
@@ -614,8 +615,8 @@ VOICEMAIL SYSTEM (respond "VOICEMAIL"):
]
# Create the LLM context and aggregators for conversation management
self._context = OpenAILLMContext(self._messages)
self._context_aggregator = llm.create_context_aggregator(self._context)
self._context = LLMContext(self._messages)
self._context_aggregator = LLMContextAggregatorPair(self._context)
# Create notification system for coordinating between components
self._gate_notifier = EventNotifier() # Signals classification completion