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Open source framework and cloud platform for building voice, video, and physical AI agents. https://t.co/OWLvFH82oN

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Today we're launching Expressive mode in LiveKit Agents. Most voice agents deliver every sentence in that same, upbeat register we all know and hate (including bad news). Expressive mode makes your agent sound like it registers what the caller is actually feeling.

Today we're launching Expressive mode in LiveKit Agents. Most voice agents deliver every sentence in that same, upbeat register we all know and hate (including bad news). Expressive mode makes your agent sound like it registers what the caller is actually feeling.

378,230 次观看 • 2 个月前

Voice agents get built three ways: cascaded (STT, LLM, TTS), turn-based speech-to-speech, and full-duplex, where the model listens and talks at the same time. All three now run on LiveKit Inference: GPT-Live and GPT Realtime from OpenAI, Grok Voice Think Fast from xAI, and Gemini Live from Google DeepMind. One LiveKit Cloud key, one bill.

Voice agents get built three ways: cascaded (STT, LLM, TTS), turn-based speech-to-speech, and full-duplex, where the model listens and talks at the same time. All three now run on LiveKit Inference: GPT-Live and GPT Realtime from OpenAI, Grok Voice Think Fast from xAI, and Gemini Live from Google DeepMind. One LiveKit Cloud key, one bill.

28,155 次观看 • 9 天前

GPT-Live-1 OpenAI Developers is now supported in LiveKit Agents. It's full-duplex, so it listens and speaks at the same time instead of taking turns, and it hands reasoning and tool calls off to a backend model so a slow lookup doesn't leave your agent sitting in dead air. Same `AgentSession` API. New plugin: `GPTLiveModel`. Get started:

GPT-Live-1 OpenAI Developers is now supported in LiveKit Agents. It's full-duplex, so it listens and speaks at the same time instead of taking turns, and it hands reasoning and tool calls off to a backend model so a slow lookup doesn't leave your agent sitting in dead air. Same `AgentSession` API. New plugin: `GPTLiveModel`. Get started:

85,265 次观看 • 1 个月前

Protect sensitive data without giving up voice agent observability. LiveKit PII Redaction automatically removes personal information from transcripts and recordings before it is stored. It is included with LiveKit Agent Observability at no additional cost. Read more:

Protect sensitive data without giving up voice agent observability. LiveKit PII Redaction automatically removes personal information from transcripts and recordings before it is stored. It is included with LiveKit Agent Observability at no additional cost. Read more:

108,395 次观看 • 2 个月前

We learn to speak before we learn to read. Voice is the most natural interface we have. We just raised a $100M to make building voice AI as easy as a web app.

We learn to speak before we learn to read. Voice is the most natural interface we have. We just raised a $100M to make building voice AI as easy as a web app.

245,468 次观看 • 9 个月前

Build voice agents that can respond quickly or think longer without changing your stack. Gemini 3.8 Live is available today in LiveKit Agents. Choose gemini-3.8-live for low-latency audio or gemini-3.8-live-extended-thinking for async reasoning. Check the docs for more info:

Build voice agents that can respond quickly or think longer without changing your stack. Gemini 3.8 Live is available today in LiveKit Agents. Choose gemini-3.8-live for low-latency audio or gemini-3.8-live-extended-thinking for async reasoning. Check the docs for more info:

40,373 次观看 • 1 个月前

Introducing Agents UI, an open-source shadcn component library for building polished React frontends for your voice agents. Audio visualizers. Media controls. Session management tools. Chat transcripts. All wired to LiveKit Agents. Install via the shadcn CLI and own the code.

Introducing Agents UI, an open-source shadcn component library for building polished React frontends for your voice agents. Audio visualizers. Media controls. Session management tools. Chat transcripts. All wired to LiveKit Agents. Install via the shadcn CLI and own the code.

184,006 次观看 • 7 个月前

Grok's Text to Speech API is now available in LiveKit Inference. Natural, expressive voices with low-latency streaming. Multilingual in 20+ languages. Telephony and production-ready out of the box. One API key. No extra setup. →

Grok's Text to Speech API is now available in LiveKit Inference. Natural, expressive voices with low-latency streaming. Multilingual in 20+ languages. Telephony and production-ready out of the box. One API key. No extra setup. →

159,543 次观看 • 7 个月前

Today we’re launching our first homegrown AI model: an open source turn detection model for building voice agents. Instead of relying solely on voice activity detection (VAD), which only considers when a user is speaking, our model also considers what has and is being said in the context of a conversation and predicts when a user is finished expressing their thoughts before the agent responds. Conversations with AI voice agents using this new model flow much more naturally without constant interruptions from the AI— check it out (more videos, details, and code in the thread):

Today we’re launching our first homegrown AI model: an open source turn detection model for building voice agents. Instead of relying solely on voice activity detection (VAD), which only considers when a user is speaking, our model also considers what has and is being said in the context of a conversation and predicts when a user is finished expressing their thoughts before the agent responds. Conversations with AI voice agents using this new model flow much more naturally without constant interruptions from the AI— check it out (more videos, details, and code in the thread):

127,014 次观看 • 1 年前

How can a voice agent tell when you’re actually interrupting it? VAD is too sensitive—laughs, “mm-hmm,” or a sneeze shouldn’t stop the agent. We trained an audio model for adaptive interruption handling so agents can distinguish real interruptions from noise.

How can a voice agent tell when you’re actually interrupting it? VAD is too sensitive—laughs, “mm-hmm,” or a sneeze shouldn’t stop the agent. We trained an audio model for adaptive interruption handling so agents can distinguish real interruptions from noise.

44,054 次观看 • 7 个月前

Voice agents do not sound robotic because they are slow. They sound robotic because the model writes like an essay and then reads it out loud. We just shared a post on making STT to LLM to TTS sound human. Make the model more human by including ums, sos, real pauses, and even laughter tags. Tiny rhythm changes can make a huge difference.

Voice agents do not sound robotic because they are slow. They sound robotic because the model writes like an essay and then reads it out loud. We just shared a post on making STT to LLM to TTS sound human. Make the model more human by including ums, sos, real pauses, and even laughter tags. Tiny rhythm changes can make a huge difference.

46,235 次观看 • 8 个月前

Your whole voice stack, free for a year on LiveKit. $10K in Cloud credits + a year of Scale + $7K in partner inference credits ($1K each: Google Gemma, Deepgram, Inworld AI , Rime , Fish Audio, AssemblyAI, Gradium.) One workspace. No provider keys. Apply now:

Your whole voice stack, free for a year on LiveKit. $10K in Cloud credits + a year of Scale + $7K in partner inference credits ($1K each: Google Gemma, Deepgram, Inworld AI , Rime , Fish Audio, AssemblyAI, Gradium.) One workspace. No provider keys. Apply now:

10,771 次观看 • 1 个月前

Gemini 3.1 Flash Live just dropped and it's available with LiveKit today. This is the first Gemini 3 native audio model on the Live API. Better instruction following, improved tool calling, reduced speaker drift, and support for 70+ languages. Audio in, audio out. No text conversion in between.

Gemini 3.1 Flash Live just dropped and it's available with LiveKit today. This is the first Gemini 3 native audio model on the Live API. Better instruction following, improved tool calling, reduced speaker drift, and support for 70+ languages. Audio in, audio out. No text conversion in between.

40,277 次观看 • 7 个月前

You can now deploy AI voice agents to LiveKit Cloud. We handle: • Stateful load balancing • Capacity management • Draining and instant rollbacks • Operational observability

You can now deploy AI voice agents to LiveKit Cloud. We handle: • Stateful load balancing • Capacity management • Draining and instant rollbacks • Operational observability

68,101 次观看 • 1 年前

We built a live multilingual, multi-person video call with Gemini 3.5 Live Translate on LiveKit. Everyone picks their language, speaks naturally, and hears each other in real time in their language of choice. Watch the demo and check out the open source repo:

We built a live multilingual, multi-person video call with Gemini 3.5 Live Translate on LiveKit. Everyone picks their language, speaks naturally, and hears each other in real time in their language of choice. Watch the demo and check out the open source repo:

21,636 次观看 • 4 个月前

Introducing LiveKit Inference — a new cloud service that gives you access to the most popular voice AI models with just your LiveKit API key. We manage rate limits for you, report on usage, and consolidate billing. All LiveKit Cloud plans now include free monthly inference credits. A single string update allows you to call models from: AssemblyAI Deepgram Google DeepMind OpenAI Rime

Introducing LiveKit Inference — a new cloud service that gives you access to the most popular voice AI models with just your LiveKit API key. We manage rate limits for you, report on usage, and consolidate billing. All LiveKit Cloud plans now include free monthly inference credits. A single string update allows you to call models from: AssemblyAI Deepgram Google DeepMind OpenAI Rime

37,257 次观看 • 1 年前

We shipped the tutorial for Agents UI. In 5 minutes you'll have a fully wired voice agent frontend with audio visualizers, media controls, and session management built directly into your codebase. Watch it, build it, own it. shadcn inside™.

We shipped the tutorial for Agents UI. In 5 minutes you'll have a fully wired voice agent frontend with audio visualizers, media controls, and session management built directly into your codebase. Watch it, build it, own it. shadcn inside™.

20,232 次观看 • 7 个月前

We shipped LiveKit Turn Detector v1. Instead of reading transcripts, it listens to speech directly, combining semantic and acoustic cues into one end-of-turn prediction. The result: high accuracy, low latency—the best model we tested across 14 languages. Available on LiveKit Cloud.

We shipped LiveKit Turn Detector v1. Instead of reading transcripts, it listens to speech directly, combining semantic and acoustic cues into one end-of-turn prediction. The result: high accuracy, low latency—the best model we tested across 14 languages. Available on LiveKit Cloud.

12,542 次观看 • 4 个月前

Voice cloning is now available on LiveKit Inference. We’re launching with and Cartesia. Clone a voice once and use it across multiple TTS providers, with automatic fallback to the same voice if a provider fails mid-call. Free to create and available on all paid plans today.

Voice cloning is now available on LiveKit Inference. We’re launching with and Cartesia. Clone a voice once and use it across multiple TTS providers, with automatic fallback to the same voice if a provider fails mid-call. Free to create and available on all paid plans today.

11,458 次观看 • 5 个月前

We shipped Agent Console, a realtime debugging surface for voice agents. Talk to your agent and see the entire pipeline live, from audio and latency to tool calls, transcripts, and participant state. Available now in the LiveKit Cloud dashboard.

We shipped Agent Console, a realtime debugging surface for voice agents. Talk to your agent and see the entire pipeline live, from audio and latency to tool calls, transcripts, and participant state. Available now in the LiveKit Cloud dashboard.

12,140 次观看 • 6 个月前