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Why it matters

• Voice AI agents serving global audiences had to choose between Flux's low-latency turn detection (English only) and Nova-3's multilingual support. Now Flux covers both, so teams don't trade latency for language coverage.
• Auto mode removes the need to configure language per call or per number. Telnyx detects the spoken language and applies the right hint, which means one assistant configuration works across all supported languages.
• Same-day GA availability means no integration gap. When Deepgram ships a model, Telnyx makes it production-ready immediately.

Example use cases

• Customer support teams running a single assistant for English and Spanish callers, using Auto mode to handle both without manual routing.
• European enterprises deploying agents in French, German, Italian, and Dutch from one configuration, with per-language accuracy close to monolingual performance.
• Global platforms that previously needed separate English Flux and multilingual Nova-3 pipelines consolidating onto a single model.

Getting started

1. In Mission Control, navigate to AI then Assistants, and select your assistant.
2. Open the Voice tab and scroll down to Transcription.
3. Select Flux as your STT model.
4. Choose your language mode: a single language, Multi, or Auto.
5. Save your assistant and test with a live call.

Copy
import telnyx

assistant = telnyx.Assistant.create(
    name="Multilingual Support Agent",
    model="moonshotai/Kimi-K2.6",
    instructions="You are a helpful support agent.",
    transcription={
        "model": "deepgram/flux",
        "language": "auto"
    },
)

Learn more in the Transcription Settings docs or the Voice AI Agents product page.