Add speech-to-text to a LiveKit voice agent

Published by Gladia, the guide explains how to integrate its Solaria-1 streaming speech-to-text service with LiveKit voice agents using either LiveKit plugins or direct WebSocket connections in Python and Node.js. It describes a pipeline in which LiveKit audio frames are sent as 16 kHz PCM data to a persistent Gladia session, producing interim transcripts for interruption handling and final transcripts for LLM processing; it reports partial-transcript latency below 103 ms and final results around 300 ms. Configuration topics include endpointing and maximum-duration silence controls, language detection, optional code-switching across more than 100 languages, custom vocabulary, regional deployment, and data-handling differences between subscription plans. The guide emphasizes explicit turn-state management to prevent partial transcripts from reaching the LLM, recommends buffering audio frames and logging acknowledgements to monitor latency, and outlines retry behavior for dropped WebSocket sessions and inactivity timeouts. It also distinguishes Solaria-1, intended for real-time use, from the asynchronous Solaria-3 model for post-call analysis, notes that live speaker diarization is unavailable, and compares managed transcription pricing and operational trade-offs with self-hosted open-source STT systems.

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