Inference Usage Dashboard Now Available in Telnyx AI Suite

11, May 2026

Telnyx Conversation Relay streams transcribed conversation text over WebSockets, so you can integrate voice calls with text-based AI workflows without handling raw audio.

What's New

  • Text-based streaming: Conversation Relay streams transcribed text over WebSockets instead of raw media, making it easier to integrate with text-based AI workflows like CRM logging, chatbot handoff, and custom NLU pipelines.
  • Bring your own AI engine: Use Telnyx phone numbers, Voice API, TTS, and STT while connecting to your own AI engine for reasoning and logic.

How It Works

Telnyx already supports real-time media streaming over WebSockets for bidirectional raw audio. Conversation Relay builds on this by streaming text instead of media, so your application receives transcribed conversation in real time without needing to process audio payloads yourself.

This suits teams focused on text-based AI workflows where raw audio handling is unnecessary, such as CRM logging, chatbot handoff, and any pipeline that works with transcribed text rather than media frames.

Why It Matters

Processing raw audio requires dedicated infrastructure and adds complexity. Conversation Relay removes that overhead by delivering transcribed text directly, so you can plug voice calls into existing text-based workflows without building a media pipeline.

Getting Started

  1. Log in to the Telnyx Mission Control Portal and obtain your API key.
  2. Configure a Voice API connection for outbound or inbound calls.
  3. Enable Conversation Relay with stream_bidirectional_mode: text in your call control commands.
  4. Connect your WebSocket endpoint to receive and send transcribed text.

Read our developer documents for Conversation Relay Voice API and Conversation Relay TeXML to learn more.