LLMUserAggregator: move turn_start_strategies from PipelineTask

This commit is contained in:
Aleix Conchillo Flaqué
2025-12-24 15:12:18 -08:00
parent e5bd55d1d5
commit 8b861d9143
149 changed files with 1691 additions and 757 deletions

View File

@@ -10,6 +10,7 @@ import os
from dotenv import load_dotenv
from loguru import logger
from pipecat.audio.turn.smart_turn.local_smart_turn_v3 import LocalSmartTurnAnalyzerV3
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import LLMRunFrame, TextFrame
from pipecat.pipeline.parallel_pipeline import ParallelPipeline
@@ -18,7 +19,10 @@ from pipecat.pipeline.runner import PipelineRunner
from pipecat.pipeline.task import PipelineParams, PipelineTask
from pipecat.processors.aggregators.gated_llm_context import GatedLLMContextAggregator
from pipecat.processors.aggregators.llm_context import LLMContext
from pipecat.processors.aggregators.llm_response_universal import LLMContextAggregatorPair
from pipecat.processors.aggregators.llm_response_universal import (
LLMContextAggregatorPair,
LLMUserAggregatorParams,
)
from pipecat.processors.filters.null_filter import NullFilter
from pipecat.processors.filters.wake_notifier_filter import WakeNotifierFilter
from pipecat.processors.user_idle_processor import UserIdleProcessor
@@ -31,6 +35,8 @@ from pipecat.services.openai.llm import OpenAIContextAggregatorPair, OpenAILLMSe
from pipecat.transports.base_transport import BaseTransport, TransportParams
from pipecat.transports.daily.transport import DailyParams
from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
from pipecat.turns.bot.turn_analyzer_bot_turn_start_strategy import TurnAnalyzerBotTurnStartStrategy
from pipecat.turns.turn_start_strategies import TurnStartStrategies
from pipecat.utils.sync.event_notifier import EventNotifier
load_dotenv(override=True)
@@ -147,7 +153,14 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
]
context = LLMContext(messages)
context_aggregator = LLMContextAggregatorPair(context)
context_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(
turn_start_strategies=TurnStartStrategies(
bot=[TurnAnalyzerBotTurnStartStrategy(turn_analyzer=LocalSmartTurnAnalyzerV3())]
),
),
)
# LLM + turn detection (with an extra LLM as a judge)
llm = TurnDetectionLLM(llm_main, context_aggregator)