One endpoint, any model.
LLM inference routed through the platform’s unified model surface: you choose the underlying model per request, and the result arrives on your callback URL or from the request-status route.
Understands the ask, in their language
The caller writes or speaks however they normally would — mixing languages mid-sentence, leaving things implied. The model resolves what they actually want before anything else happens.
Everything LLM Inference API does
Name the underlying model in the request body; swap it without touching your integration.
Give a callback URL and the result is delivered when it completes, or poll the request-status route.
Outbound callbacks are HMAC-signed, with a retry policy behind them.
Every request lands in the same history and consumption record as voice, under one API key.
Swap the model, keep the integration
The model is named per request, so moving to a different one is a field change rather than a new integration, a new key and a new invoice.
Listen. Reason. Speak. In real time. One AI platform for every conversation.