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livekit

An open-weights language model for contextually-aware end-of-utterance (EOU) detection in voice AI applications. The model predicts whether a user has finished speaking based on the semantic content of their transcribed speech, providing a critical complement to voice activity detection (VAD) systems. > **📖 For installation, usage examples, and integration guides, see the LiveKit documentation.** - Overview - Model Variants - How It Works - Architecture and Training - Supported Languages - Benchmarks - Usage - Deployment Requirements - Limitations - License - Resources

Text generationOpen weights

Input Text→ Output Text

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Monthly input tokens 10 MMonthly output tokens 2 M1 M = 1 million tokens · USD
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