what can i do to redue latency here in between the...
# ask-ais
strong-pizza-31661
07/21/2025, 6:48 PMwhat can i do to redue latency here in between the models? what works and what does livekit offer for reducing latency?
model = openai.realtime.RealtimeModel(
voice="shimmer",
temperature=0.8,
#model="gpt-4o-realtime-preview-2025-06-03",
# Tell Whisper to expect Turkish (“tr”) audio
_input_audio_transcription_=None,
_turn_detection_=None,
modalities=["text"]
)
# Create AgentSession with the multimodal model
session = AgentSession(
llm=model,
tts=elevenlabs.TTS(
language=LANG_MODE,
_voice_id_="cgSgspJ2msm6clMCkdW9",
_streaming_latency_=3,
),
vad=silero.VAD.load(),
stt = deepgram.STT(
model="nova-2-general",
language=LANG_MODE,
_sample_rate_=8000, # critical
),
_#turn_detection=MultilingualModel(),_
)
t
tall-airline-16756
07/21/2025, 6:48 PMThanks for reaching out, Rhythm. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
tall-airline-16756
07/21/2025, 6:49 PMTo reduce latency in your multimodal pipeline, consider the following strategies and features supported by LiveKit:
• Network Proximity: Deploy your agent and all external services (LLM, STT, TTS) in the same region or as close as possible to minimize network round-trip time.
• Stream All Components: Ensure every stage in your pipeline (audio capture, STT, LLM, TTS) streams data as soon as it is available, rather than waiting for full completion at each step. This is critical for minimizing end-to-end latency.
• Direct Publishing: For video or avatar generation, have the generation server join the LiveKit room directly and publish media streams, rather than routing through intermediate servers. This avoids redundant encoding and transmission delays.
• Monitor Latency: Use LiveKit’s Agents metrics API to track key metrics like Time To First Token (TTFT) and Time To First Byte (TTFB) to identify bottlenecks.
• Network Congestion Handling: Enable automatic video pausing for congested subscribers and use UI feedback to inform users of network issues.
• Transport Optimization: Leverage LiveKit’s WebRTC-based architecture for efficient, low-latency media transport between clients and servers.
Applying these principles—especially streaming at every stage and optimizing network placement—will have the greatest impact on reducing latency in your real-time multimodal applications.
Let me know if you want details on implementing any of these strategies in your specific setup.
Sources: Live Conversations with AI using ChatGPT and WebRTC | Live Conversations with AI using ChatGPT and WebRTC | An open source stack for real-time multimodal AI | Voice Assistants | livekit/livekit_composite | DeepWiki | Bringing AI avatars to voice agents
s
strong-pizza-31661
07/21/2025, 6:51 PM• Stream All Components: Ensure every stage in your pipeline (audio capture, STT, LLM, TTS) streams data as soon as it is available, rather than waiting for full completion at each step. This is critical for minimizing end-to-end latency.
t
tall-airline-16756
07/21/2025, 6:52 PMHey there! Want to make your audio streaming super smooth and lightning-fast? I've got some friendly tips to help you minimize those pesky delays and keep your pipeline running like a well-oiled machine.
• Audio Capture: Let's grab that audio in real-time! LiveKit's WebRTC is your new best friend - it'll help you stream audio directly from user devices. Pro tip: subscribe to those audio tracks ASAP to keep the sound flowing continuously.
• STT (Speech-to-Text): Look for an STT provider that loves streaming as much as you do. If your current tool isn't streaming-friendly, no worries! A handy streaming adapter like
STTStreamAdapterTTSStreamAdaptertall-airline-16756
09/08/2025, 10:27 AMHey there! I’m not quite sure what you mean by 'abhi123.' Could you please share a bit more info or clarify what you need help with? Are you asking about a specific part of the latency reduction process or something else? I’m here to help!
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