How OpenAI rebuilt its WebRTC stack for low-latency voice AI at scale
By
Sean-Der
Front-window bakery material. Catches the eye, delivers the goods.
Summary
OpenAI rearchitected its WebRTC stack to address three key constraints for real-time voice AI: low-latency audio delivery, global scale, and seamless conversational turn-taking. The article details how the team rebuilt their infrastructure to eliminate awkward pauses, clipped interruptions, and delayed barge-in that plague voice interactions when network performance degrades. The work supports ChatGPT voice, the Realtime API, interactive agents, and models processing audio while users are still speaking.
Key quotes
· 3 pulledVoice AI only feels natural if conversation moves at the speed of speech.
When the network gets in the way, people hear it immediately as awkward pauses, clipped interruptions, or delayed barge-in.
The team at OpenAI responsible for real-time AI interactions recently rearchitected our WebRTC stack to address three constraints.
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