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feat: support flux for dograh multi

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This commit is contained in:
Abhishek Kumar 2026-06-24 12:45:07 +05:30
parent 0956157029
commit ca598933ef
7 changed files with 176 additions and 11 deletions
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14
api/services/pipecat/run_pipeline.py
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@ -6,7 +6,6 @@ from loguru import logger
from api.db import db_client
from api.enums import WorkflowRunMode
from api.services.configuration.options import DEEPGRAM_FLUX_MODELS
from api.services.configuration.registry import ServiceProviders
from api.services.integrations import (
IntegrationRuntimeContext,
@ -47,6 +46,7 @@ from api.services.pipecat.service_factory import (
create_realtime_llm_service,
create_stt_service,
create_tts_service,
stt_uses_flux_turns,
)
from api.services.pipecat.tracing_config import (
ensure_tracing,
@ -626,14 +626,10 @@ async def _run_pipeline(
user_config.realtime.provider
)
else:
# Deepgram Flux uses external turn detection (VAD + External start/stop)
# Other models use configurable turn detection strategy
is_deepgram_flux = (
user_config.stt.provider == ServiceProviders.DEEPGRAM.value
and user_config.stt.model in DEEPGRAM_FLUX_MODELS
)
if is_deepgram_flux:
# Deepgram Flux and supported Dograh managed Flux languages emit their
# own turn boundaries, so the aggregator follows those external signals.
# Other models use configurable turn detection.
if stt_uses_flux_turns(user_config):
user_turn_strategies = UserTurnStrategies(
start=[
VADUserTurnStartStrategy(),