Ante answers questions out loud with its language model running on the 0G
Compute Network instead of a hosted provider.
The conversation app is an OpenAI Realtime API client, so rather than rewrite
its conversation loop, this adds a local server that speaks the realtime
protocol and is backed by 0G. The app reaches it through two lines of .env;
its tool system, movement manager, personality system and web UI are unchanged.
The realtime API is speech-to-speech over one socket while 0G exposes ordinary
request/response models, so the server reassembles the stages behind that
interface: 0G Whisper for hearing, 0G glm-5.2 for thinking, and Piper on the
robot for speaking. Speech synthesis is local because the network has no
synthesis provider; transcription is remote because the Wireless robot's CM4
cannot run Whisper.
Signing and settlement are delegated to `0g-compute-cli inference serve`, so no
private key or single-use request header is handled here.
Reasoning is stripped before sy…
