Drop debug logging added while investigating multi-output-item audio
This commit is contained in:
@@ -480,18 +480,6 @@ class OpenAIRealtimeLLMService(LLMService[OpenAIRealtimeLLMAdapter]):
|
||||
await self.send_client_event(events.ResponseCreateEvent())
|
||||
|
||||
async def _handle_bot_stopped_speaking(self):
|
||||
if self._current_audio_response:
|
||||
current = self._current_audio_response
|
||||
elapsed_ms = int(time.time() * 1000) - current.start_time_ms
|
||||
logger.debug(
|
||||
f"{self} BotStoppedSpeakingFrame received; clearing audio response "
|
||||
f"(item_id={current.item_id} response_id={current.response_id} "
|
||||
f"elapsed_since_first_delta={elapsed_ms}ms)"
|
||||
)
|
||||
else:
|
||||
logger.debug(
|
||||
f"{self} BotStoppedSpeakingFrame received but no current audio response is tracked"
|
||||
)
|
||||
self._current_audio_response = None
|
||||
|
||||
def _calculate_audio_duration_ms(
|
||||
@@ -711,8 +699,6 @@ class OpenAIRealtimeLLMService(LLMService[OpenAIRealtimeLLMAdapter]):
|
||||
await self._handle_evt_session_updated(evt)
|
||||
elif evt.type == "response.output_audio.delta":
|
||||
await self._handle_evt_audio_delta(evt)
|
||||
elif evt.type == "response.output_audio.done":
|
||||
await self._handle_evt_audio_done(evt)
|
||||
elif evt.type == "conversation.item.added":
|
||||
await self._handle_evt_conversation_item_added(evt)
|
||||
elif evt.type == "conversation.item.done":
|
||||
@@ -774,11 +760,6 @@ class OpenAIRealtimeLLMService(LLMService[OpenAIRealtimeLLMAdapter]):
|
||||
start_time_ms=int(time.time() * 1000),
|
||||
response_id=evt.response_id,
|
||||
)
|
||||
logger.debug(
|
||||
f"{self} first audio delta for item_id={evt.item_id} "
|
||||
f"response_id={evt.response_id} output_index={evt.output_index} "
|
||||
f"content_index={evt.content_index}"
|
||||
)
|
||||
await self.push_frame(TTSStartedFrame())
|
||||
elif self._current_audio_response.item_id != evt.item_id:
|
||||
# A response can contain multiple output items (observed with
|
||||
@@ -788,7 +769,7 @@ class OpenAIRealtimeLLMService(LLMService[OpenAIRealtimeLLMAdapter]):
|
||||
# TTSStartedFrame. Reset total_size so truncation math reflects the
|
||||
# current item only (last-item-wins, matching openai-agents-python).
|
||||
logger.debug(
|
||||
f"{self} advancing to next output item "
|
||||
f"{self} advancing to next audio output item "
|
||||
f"(prev item_id={self._current_audio_response.item_id} -> "
|
||||
f"new item_id={evt.item_id} response_id={evt.response_id} "
|
||||
f"output_index={evt.output_index} content_index={evt.content_index})"
|
||||
@@ -808,16 +789,6 @@ class OpenAIRealtimeLLMService(LLMService[OpenAIRealtimeLLMAdapter]):
|
||||
)
|
||||
await self.push_frame(frame)
|
||||
|
||||
async def _handle_evt_audio_done(self, evt):
|
||||
# Debug-trace only; TTSStoppedFrame is emitted on response.done so that
|
||||
# multi-output-item responses still produce exactly one bracketing
|
||||
# Started/Stopped pair (see _handle_evt_response_done).
|
||||
logger.debug(
|
||||
f"{self} audio.done for item_id={evt.item_id} "
|
||||
f"response_id={evt.response_id} output_index={evt.output_index} "
|
||||
f"content_index={evt.content_index}"
|
||||
)
|
||||
|
||||
async def _handle_evt_conversation_item_added(self, evt):
|
||||
"""Handle conversation.item.added event - item is added but may still be processing."""
|
||||
if evt.item.type == "function_call":
|
||||
|
||||
Reference in New Issue
Block a user