What users experience as "responsiveness" is the time from when they stop speaking to when they hear the first syllable of the agent's response. That path runs through turn detection, transcription, LLM time-to-first-token, text-to-speech synthesis, outbound audio buffering, and network hops between all of them. You optimize this by identifying which stages sit on the critical path and making sure nothing blocks unnecessarily.
02:00, 3 марта 2026Из жизни
。关于这个话题，体育直播提供了深入分析
还是回到 OpenClaw，从今天的端侧部署 agent 身上，真正的 AI PC 应该长什么样子，其实已经隐约可见。
How to preorder the 2026 Apple Studio Display, including the mini-LED Studio Display XDR
const [serverTransport, clientTransport] = createMessageChannelPairTransport()