Build custom frontends for Voice AI Agents with the Telnyx Library

We're excited to announce the launch of the official Telnyx React Library for AI agents, giving developers full control to build and deploy custom web-based frontends for their voice-enabled AI applications.

With this new Library, teams can go beyond default widgets to create highly tailored UI/UX experiences that match their brand, support unique user flows, and integrate tightly with internal systems. The SDK exposes all the building blocks needed for seamless multimodal interactions, including real-time transcription, connection management, conversation state, and event handling, all built on top of Telnyx’s low-latency WebRTC infrastructure.

Alongside the SDK, we’re also rolling out support for image uploads via the default assistant widget, expanding the multimodal capabilities of our front-end offering. Customers using vision-capable LLMs like GPT-4o or LLaMA 4 Maverick (via Groq) can now let users send photos mid-chat, opening the door to visual troubleshooting, document verification, and more.

What’s new

• Telnyx TypeScript/React Library for building custom AI Assistant frontends (@telnyx/ai-agent-lib).
• First-party support for image upload in the widget for vision-capable LLMs.
• Continued focus on developer-first multimodal tooling.

Why it matters

This release makes it dramatically easier to create branded, multimodal agent experiences without compromising performance or flexibility. Whether you're building Voice AI Agents for onboarding, support, or in-field service, Telnyx now provides a complete frontend and backend solution for real-time, voice-first AI on the web.

Getting started

It only takes a few minutes to get started.

1. Install the SDK with npm install @telnyx/ai-agent-lib.
2. Use the Quick Start steps and code snippets on npm.