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Live, real‑time voice and video conversations with AI
Multimodal input/output across voice, video, and text
Streaming STT → LLM → TTS pipeline for natural interactions
Low‑latency, network‑resilient WebRTC transport
Multi‑language understanding and live translation
Session‑level conversation history and contextual memory
Plugin architecture with integrations for major STT, TTS, and LLM providers
Voice activity detection and sentence splitting utilities
Animated/composable avatars for expressive visual agents
Production‑grade orchestration, load balancing, and horizontal scaling
Kubernetes compatibility for enterprise deployments
Telephony integration for PSTN/SIP connectivity
Open source under Apache 2.0 and developer‑friendly SDKs
Works with LiveKit Cloud or self‑hosted deployments
Agents can auto‑join sessions via webhook and publish A/V tracks
Turn detection and stateful AI orchestration in Agents SDK
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Embed a voice/video AI assistant in apps to answer questions, guide onboarding, and reduce support load.
Deploy a multilingual call or chat copilot that transcribes, translates, and responds in real time.
Run HIPAA‑aligned virtual visits with live transcription, summaries, and language translation.
Use an AI co‑host for interactive demos and live streams that responds to audience questions.
Prototype and ship multimodal agents quickly using open‑source SDKs and a pluggable STT/LLM/TTS stack.
Offer an AI tutor that can converse, translate, and summarize lessons in real time.
Spin up conferencing assistants that capture meeting notes, action items, and follow‑ups.
Add natural voice interfaces to robots and devices with low‑latency, on‑device friendly streaming.
Augment agents with real‑time transcription, guidance, and post‑call summaries across languages.
Enable cross‑language collaboration with live translation and context‑aware responses.