When the InterruptionFrame does not complete within the timeout the
caller was stuck in an infinite loop logging warnings. Now the event
is set after the first timeout so the processor can continue.
Also adds a keyword timeout parameter so callers can customize the
wait duration.
Always create UserIdleController (timeout=0 means disabled), removing
all Optional guards. Add UserIdleTimeoutUpdateFrame to allow changing
the idle timeout at runtime.
Replace the continuous heartbeat-based timer (UserSpeakingFrame/BotSpeakingFrame
+ asyncio.Event loop) with a simple one-shot timer that starts when
BotStoppedSpeakingFrame is received and cancels on UserStartedSpeakingFrame or
BotStartedSpeakingFrame. This eliminates false idle triggers caused by gaps
between the user finishing speaking and the bot starting to speak (LLM/TTS
latency).
Guard the timer start with two conditions to prevent false triggers:
- User turn in progress: during interruptions, BotStoppedSpeaking arrives
while the user is still speaking mid-turn.
- Function calls in progress: FunctionCallsStarted arrives before
BotStoppedSpeaking because the bot speaks concurrently with the function
call starting, so the timer must wait for the result and subsequent bot
response.
Add a `service` field so the frame targets a specific service, allowing
ServiceSwitcher.push_frame to consume it only when the targeted service
matches the active service. STTService and test mocks now push the frame
downstream after handling instead of silently consuming it.
The default stop strategy changed to TurnAnalyzerUserTurnStopStrategy,
which requires actual audio analysis. Use SpeechTimeoutUserTurnStopStrategy
explicitly since this test is not testing turn detection.
- Make ServiceSwitcherStrategy inherit from BaseObject with properties
for services and active_service, and move initial service selection
into the base class
- Add on_service_switched event to ServiceSwitcherStrategy
- handle_frame now returns the switched-to service (or None), allowing
ServiceSwitcher to swallow ManuallySwitchServiceFrame on switch and
request metadata from the new active service
- Override push_frame to suppress RequestMetadataFrame and
ServiceMetadataFrame from inactive services
- Remove ServiceSwitcherFilter and ServiceSwitcherFilterFrame in favor
of plain FunctionFilter instances with closures that check the
strategy's active service directly
- FunctionFilter: add FilterType alias
- FunctionFilter: when direction is None, frames in both directions
are filtered instead of just one
- Add docstrings to ServiceSwitcher and its components
Refactor TranscriptionUserTurnStopStrategy and TurnAnalyzerUserTurnStopStrategy
to use VADUserStoppedSpeakingFrame as the ground truth for when speech ended,
rather than triggering timeouts from transcription frames.
Processors inside parallel sub-pipelines can push frames during
StartFrame/EndFrame/CancelFrame processing. Previously these frames
could escape the ParallelPipeline before all branches finished
processing the lifecycle frame. Now they are buffered and flushed
after synchronization completes.
Add tests for the event-based interruption completion: complete() sets
the event, complete() is safe without an event, the event fires at
the pipeline sink, and a warning is logged when the frame is blocked.
Also remove the unconditional await after the timeout so the function
returns instead of hanging when complete() is never called.
Tests cover:
- No messages received (raises ValueError)
- One message received (logs warning, continues)
- Two messages received (normal operation)
- All telephony providers (Twilio, Telnyx, Plivo, Exotel)
Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
NLTK's sent_tokenize() only supports ~15 European languages and defaults to
English. For Japanese, Chinese, Korean, Hindi, Arabic, and other non-Latin
languages, NLTK fails to recognize sentence boundaries like 。？！ causing
text to accumulate until flush instead of being emitted sentence-by-sentence.
Add a fallback in match_endofsentence() that scans for unambiguous non-Latin
sentence-ending punctuation when NLTK fails to split the text. Latin
punctuation (. ! ? ; …) is excluded from the fallback since NLTK handles
those correctly and they can be ambiguous (abbreviations, decimals, etc.).
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Incorporates latest changes from main branch including:
- AIC filter and VAD updates
- STT service improvements
- Base serializer changes
- Various bug fixes
