Skip to content

Project

LiveKit

LiveKit is an open-source platform for real-time audio/video and voice-agent applications, providing an SFU, SIP integration, and client/agent SDKs.

Known aliases

  • LiveKit Agents
  • livekit-client
  • LiveKit SFU
  • LiveKit SIP

Current stories

buildOne report1 publisher

Microsoft's official LiveKit plugin streams agent audio to its preview MAI transcription model

Microsoft's official plugin lets LiveKit Agents stream live audio to MAI-Transcribe-2-Streaming, a realtime model covering roughly 60 languages. The service is still a public preview that Microsoft does not recommend for production.

Publishers:dev.to

Reality

Evidence45
Adoption
Not scored
Hype gap0
Incentives50
Confidence50
buildOne report1 publisher

LiveKit's Microsoft AI plugin brings MAI-Voice-2-Flash to voice agents that hold an Azure Speech key

LiveKit Agents now speaks in Microsoft's MAI voices, including MAI-Voice-2-Flash, through an official plugin that covers text-to-speech only. Teams no longer write their own adapter, but every deployment still needs an Azure Speech key and region.

Publishers:dev.to

Reality

Evidence45
Adoption
Not scored
Hype gap+5
Incentives45
Confidence50
buildOne report1 publisher

Self-hosted LiveKit loses its SIP trunks whenever a stock Redis container is recreated

Self-hosted LiveKit keeps SIP trunks in Redis, so recreating a stock Redis container wipes them and reprovisioning returns new trunk IDs. Health checks stay green until an outbound call fails on a trunk ID that no longer exists.

Publishers:dev.to

Reality

Evidence40
Adoption
Not scored
Hype gap+5
Incentives
Not scored
Confidence45
buildOne report1 publisher

Google puts Gemini 3.8 Live Avatar agents into general availability for Gemini Enterprise

Google made Gemini 3.8 Live with Live Avatar generally available in Gemini Enterprise, which puts a speaking video agent in scope for production. Extended Thinking is still in preview, so anything shipping now runs without it and the team still builds its own CRM and handoff integration.

Publishers:dev.to

Reality

Evidence35
Adoption
Not scored
Hype gap+10
Incentives60
Confidence40
productConfirmed3 publishers

Gemini 3.8 Live keeps talking while it runs the tool call in the background

Google's two new voice models process speech and reasoning at the same time and can fire tool calls without pausing the conversation. Published scores put the stronger one top of a speech-to-speech index and lowest on banking tasks.

Perspective Coverage

3 publishers
Builder
Builder 40%
Operator
Operator 40%
Investor
Investor 20%

Reality

Evidence45
Adoption
Not scored
Hype gap+30
Incentives70
Confidence55
buildOne report1 publisher

iOS reports the raw sensor frame until the camera produces its first picture

One developer's four clean runs against livekit-client 2.22.3 all read the track dimensions after the preview appeared. Reading there lands outside the roughly 100 ms window in which a portrait iPhone claims 1920 by 1080.

Publishers:dev.to

Reality

Evidence58
Adoption55
Hype gap+22
Incentives60
Confidence55
buildOne report1 publisher

Gemini 3.8 Live Extended Thinking Can Send turnComplete While the Model Is Still Reasoning

Google's September 15 release pairs a fast speech-to-speech model with one that narrates its own reasoning aloud while tools run. Clients now have to read interactionStatus to know when a turn is actually over.

Publishers:dev.to

Reality

Evidence30
Adoption20
Hype gap+12
Incentives60
Confidence35
buildOne report1 publisher

On iPhone Safari, a finger over the speaker cut the avatar's own turn five milliseconds later

When the acoustic path changes mid-playback, the browser's echo canceller stops cancelling and the leftover sound reaches the voice detector as speech. The fix was 300 extra milliseconds, applied only during playback.

Publishers:dev.to

Reality

Evidence58
Adoption22
Hype gap−6
Incentives32
Confidence48
buildOne report1 publisher

Voice agents break in the runtime, and no better LLM will fix that

A dev.to breakdown makes the case that turn detection, endpointing and barge-in are the hard parts of a voice product, and a model swap does not touch any of them.

Publishers:dev.to

Reality

Evidence32
Adoption
Not scored
Hype gap+12
Incentives
Not scored
Confidence38