Livekit Inference: a Unified Model Interface for Voice AI
Posted3 months agoActive3 months ago
blog.livekit.ioTechstory
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Voice AIMachine LearningReal-Time Processing
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Voice AI
Machine Learning
Real-Time Processing
LiveKit Inference is a unified model interface for voice AI, simplifying the integration of various AI models for real-time voice applications, with the community showing interest and support for the development.
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We just launched our inference gateway for voice agent models.
Voice agent developers can use our inference service to call many different voice agent models (i.e., STT, LLM, TTS) with only one key.
We built the service because end-to-end latency is critically important for voice agents. In a text-based app, making a user wait a few extra seconds for a response is generally acceptable. But when talking to AI, delays can make conversations feel awkward or unnatural.
We built some interesting ways to handle model exploration and latency reduction into our service...and much much more to come. We thought the HN community would find it interesting and have some thoughtful feedback. Please let me know what you think!
@ac