DuplexRealtimeAdapter: transcript fragment for audio that is never sent anchors the next burst, shifting transcripts by one utterance
Los mantenedores suelen responder en 1 día
Evaluación
- Dificultad
- 4/5
- Tiempo estimado
- 3-5 días
- Aptitud para principiantes
- 45/100
- Tipo de issue
- Error
- Claridad
- Bien especificado
- Estado de actividad
- Activo
- Stack tecnológico
- python
- Área
- audio-video-rtc
Línea de trabajo
Start with the repro test test_words_for_sound_never_sent_do_not_anchor_the_next_burst in tests/test_duplex_adapter.py and run it with -k never_sent to see the stale fragment become the next utterance. Read how DuplexRealtimeAdapter queues transcript fragments and decides their fate in _close_burst, _on_transcript_delta, and the 3 s unclaimed rule. Done means the test passes and fragments for audio that was never sent are neither used as words nor as an anchor.
Escrito por el modelo de indexación a partir del texto del issue.
Descripción
Bug Description
After a barge-in, DuplexRealtimeAdapter can put the model's cut-off words on its next utterance, and every later transcript then lands one utterance late.
- The model's transcript runs ahead of its audio. The user barges in, the model yields, and the audio for its last stamped fragment is never sent.
- That fragment is neither due (
_close_burst) nor late (_on_transcript_delta), so it stays queued. The 3 s unclaimed rule runs on the audio clock, which stops while the provider sends nothing ("it may stop between bursts"). A provider that streams its silence instead is caught by the rule only if the model stays quiet for 3 s. - The next burst takes the stale fragment as its first words and its anchor. Its own words are then held against the wrong anchor and roll into the burst after it, and the last utterance's words can be lost.
#7264 fixed this for audio that was played. This is the case where the audio is never played. It is still present on main (the adapter is unchanged since 1.8.7).
Expected Behavior
Words for audio that was never sent never become the next utterance's words or set its anchor. Nobody heard them, so they should not be captioned or recorded either, the same as the played-text-only rule for interrupted realtime messages.
Reproduction Steps
Add the test below to tests/test_duplex_adapter.py and run uv run pytest tests/test_duplex_adapter.py -k never_sent. On main it fails with assert ' there.' == 'Next.': the cut-off " there." became the second utterance's text and "Next." is still queued.
test
async def test_words_for_sound_never_sent_do_not_anchor_the_next_burst(duplex) -> None:
fake, session, generations = duplex
fake.push(0.001, count=20, start_ms=0)
fake.push(0.3, count=3, start_ms=2000)
await _settle()
fake.say("Hello", start_ms=2000, end_ms=2200)
fake.say(" there.", start_ms=3500, end_ms=3800) # its sound never comes
fake.push(0.001, count=8, start_ms=2300)
await _settle()
fake.say("Next.", start_ms=6000, end_ms=6200) # nothing was sent in between
fake.push(0.3, count=3, start_ms=6000)
fake.push(0.001, count=8, start_ms=6300)
await _settle()
assert len(generations) == 2
assert (await asyncio.wait_for(_read(generations[1]), timeout=1))[1] == "Next."
assert not session._fragments
Operating System
Any (in-process unit test)
Models Used
A custom DuplexModel for a self-hosted MiniCPM-o 4.5. The repro uses the suite's fake DuplexModel.
Package Versions
livekit-agents==1.8.7 (also main @ 334d336)
Session/Room/Call IDs
n/a
Proposed Solution
#7862, for providers that stamp their audio.
Additional Context
We found this by reading the adapter while deciding whether our plugin should stamp its output. Our live plugin sends unstamped fragments and does not hit it.
Screenshots and Recordings
n/a
- Lenguaje dominante
- Python
- Estrellas
- 14.6k
- Forks
- 3.9k
- Merge medio
- 3 d 1 h
- PR fusionados (30 d)
- 173
Preparar el entorno
Este proyecto no incluye contenedor de desarrollo, Dockerfile ni guía de contribución, así que la configuración corre por tu cuenta: empieza por su README y consulta nuestra guía para la primera contribución para los pasos generales.
Primeros pasos
- Lee el issue completo y luego la guía de contribución del proyecto.
- Comenta en el issue que vas a ocuparte — evita que dos personas hagan lo mismo.
- Haz un fork del repositorio y trabaja en una rama.
- Abre un pull request que haga referencia al número del issue.
Más de livekit/agents
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 68/100
Los mantenedores suelen responder en 1 día
-
Assistant markup is stripped from chat history when expressive mode is offPosiblemente ocupada @ShivamSharma43 la tomó hace 8 días. Abierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
Los mantenedores suelen responder en 1 día
-
docs: openai.LLM vs openai.responses.LLM for HTTP OpenAI-compat hostsQuizá libre de nuevo @AbarnaaSree la tomó hace 47 días y no hay ningún pull request abierto. Abierto
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
livekit/agents#7022 · 1 comentario ·
Los mantenedores suelen responder en 1 día
-
Dificultad 4/5 3-5 días Aptitud para principiantes 25/100
Los mantenedores suelen responder en 1 día
-
google: support Live Avatar video output for Gemini 3.8 Live (avatar_config, VIDEO modality)Posiblemente ocupada @percusser la tomó hoy. Abierto
Dificultad 5/5 Más de una semana Aptitud para principiantes 22/100
livekit/agents#7843 · 1 comentario ·
Los mantenedores suelen responder en 1 día
Todos los issues de livekit/agents
Issues similares
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
huggingface/sentence-transformers#4186 ·
Los mantenedores suelen responder en 5 días
-
documentation
Dificultad 1/5 Menos de una hora Aptitud para principiantes 92/100
QuantEcon/QuantEcon.py#988 ·
Los mantenedores suelen responder en 1 día
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 72/100
fabriziosalmi/certmate#1247 ·
Los mantenedores suelen responder en 1 día
-
Dificultad 2/5 1-3 horas Aptitud para principiantes 75/100
Los mantenedores suelen responder en 1 día
-
documentation good first issue
Dificultad 2/5 Medio día Aptitud para principiantes 72/100
sujithputta02/Esapay#13 ·