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Address PR review feedback: remove debug logs, fix hasattr logic, add VADAnalyzer

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This commit is contained in:
zack
2026-03-02 17:54:31 -05:00
parent 5c2ca0ce64
commit b449515410
2 changed files with 40 additions and 52 deletions
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6
examples/foundational/07o-interruptible-assemblyai-stt.py
View File

@@ -10,6 +10,7 @@ import os
from dotenv import load_dotenv
from loguru import logger
from pipecat.audio.vad.silero import SileroVADAnalyzer
from pipecat.frames.frames import LLMRunFrame
from pipecat.pipeline.pipeline import Pipeline
from pipecat.pipeline.runner import PipelineRunner
@@ -122,7 +123,10 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
context = LLMContext(messages)
user_aggregator, assistant_aggregator = LLMContextAggregatorPair(
context,
user_params=LLMUserAggregatorParams(user_turn_strategies=ExternalUserTurnStrategies()),
user_params=LLMUserAggregatorParams(
user_turn_strategies=ExternalUserTurnStrategies(),
vad_analyzer=SileroVADAnalyzer(),
),
)
pipeline = Pipeline(

86
src/pipecat/services/assemblyai/stt.py
View File

@@ -212,7 +212,6 @@ class AssemblyAISTTService(WebsocketSTTService):
self._chunk_size_bytes = 0
self._user_speaking = False
self._vad_speaking = False
def _configure_pipecat_turn_mode(
self, connection_params: AssemblyAIConnectionParams, is_u3_pro: bool
@@ -320,48 +319,44 @@ class AssemblyAISTTService(WebsocketSTTService):
old_conn_params = changed.get("connection_params")
# Check each potentially changed parameter
if hasattr(conn_params, "keyterms_prompt"):
if (
old_conn_params is None
or conn_params.keyterms_prompt != old_conn_params.keyterms_prompt
):
if conn_params.keyterms_prompt is not None:
update_config["keyterms_prompt"] = conn_params.keyterms_prompt
logger.info(f"Updating keyterms_prompt to: {conn_params.keyterms_prompt}")
if (
old_conn_params is None
or conn_params.keyterms_prompt != old_conn_params.keyterms_prompt
):
if conn_params.keyterms_prompt is not None:
update_config["keyterms_prompt"] = conn_params.keyterms_prompt
logger.info(f"Updating keyterms_prompt to: {conn_params.keyterms_prompt}")
if hasattr(conn_params, "prompt"):
if old_conn_params is None or conn_params.prompt != old_conn_params.prompt:
if conn_params.prompt is not None:
if conn_params.speech_model != "u3-rt-pro":
logger.warning(
f"prompt parameter is only supported with u3-rt-pro model, "
f"current model is {conn_params.speech_model}"
)
else:
update_config["prompt"] = conn_params.prompt
logger.info(f"Updating prompt")
if hasattr(conn_params, "max_turn_silence"):
if (
old_conn_params is None
or conn_params.max_turn_silence != old_conn_params.max_turn_silence
):
if conn_params.max_turn_silence is not None:
update_config["max_turn_silence"] = conn_params.max_turn_silence
logger.info(
f"Updating max_turn_silence to: {conn_params.max_turn_silence}ms"
if old_conn_params is None or conn_params.prompt != old_conn_params.prompt:
if conn_params.prompt is not None:
if conn_params.speech_model != "u3-rt-pro":
logger.warning(
f"prompt parameter is only supported with u3-rt-pro model, "
f"current model is {conn_params.speech_model}"
)
else:
update_config["prompt"] = conn_params.prompt
logger.info(f"Updating prompt")
if hasattr(conn_params, "min_turn_silence"):
if (
old_conn_params is None
or conn_params.min_turn_silence != old_conn_params.min_turn_silence
):
if conn_params.min_turn_silence is not None:
update_config["min_turn_silence"] = conn_params.min_turn_silence
logger.info(
f"Updating min_turn_silence to: {conn_params.min_turn_silence}ms"
)
if (
old_conn_params is None
or conn_params.max_turn_silence != old_conn_params.max_turn_silence
):
if conn_params.max_turn_silence is not None:
update_config["max_turn_silence"] = conn_params.max_turn_silence
logger.info(
f"Updating max_turn_silence to: {conn_params.max_turn_silence}ms"
)
if (
old_conn_params is None
or conn_params.min_turn_silence != old_conn_params.min_turn_silence
):
if conn_params.min_turn_silence is not None:
update_config["min_turn_silence"] = conn_params.min_turn_silence
logger.info(
f"Updating min_turn_silence to: {conn_params.min_turn_silence}ms"
)
# Send update if we have parameters to update
if len(update_config) > 1: # More than just "type"
@@ -639,20 +634,14 @@ class AssemblyAISTTService(WebsocketSTTService):
Only applies to Mode 2 (STT turn detection). In Mode 1, VAD +
smart turn analyzer handle interruptions via the aggregator.
"""
logger.debug(
f"{self} SpeechStarted received (vad_force_turn_endpoint={self._vad_force_turn_endpoint})"
)
if self._vad_force_turn_endpoint:
logger.debug(f"{self} SpeechStarted ignored in Pipecat mode")
return # Mode 1: handled by aggregator
logger.debug(f"{self} Processing SpeechStarted in STT mode")
await self.start_processing_metrics()
await self.broadcast_frame(UserStartedSpeakingFrame)
if self._should_interrupt:
await self.push_interruption_task_frame_and_wait()
self._user_speaking = True
logger.debug(f"{self} _user_speaking set to True")
async def _handle_termination(self, message: TerminationMessage):
"""Handle termination message."""
@@ -730,7 +719,6 @@ class AssemblyAISTTService(WebsocketSTTService):
await self._trace_transcription(transcript_text, True, language)
await self.stop_processing_metrics()
else:
logger.debug(f'{self} Interim transcript: "{transcript_text}"')
await self.push_frame(
InterimTranscriptionFrame(
transcript_text,
@@ -744,10 +732,6 @@ class AssemblyAISTTService(WebsocketSTTService):
# --- Mode 2: STT turn detection ---
# SpeechStarted always arrives before transcripts with u3-rt-pro,
# so UserStartedSpeakingFrame is guaranteed to be broadcast first.
logger.debug(
f"{self} Transcript received in STT mode (_user_speaking={self._user_speaking})"
)
if is_final_turn:
# STT mode: AssemblyAI controls finalization, just mark as finalized
await self.push_frame(