Voice Agent Examples

[!WARNING] This repository has been archived. All future development has moved to **[NVIDIA-AI-Blueprints/nemotron-voice-agent](https://github.com/NVIDIA-AI-Blueprints/nemotron-voice-agent)**. Please visit the new repository for the latest updates.

Nemotron Voice Agent Examples

This repository contains examples demonstrating how to build voice-enabled conversational AI agents using the NVIDIA services, built using [the Pipecat framework](https://github.com/pipecat-ai/pipecat). These examples demonstrate various implementation patterns, ranging from simple LLM-based conversations to complex agentic workflows, and from WebSocket-based solutions to advanced WebRTC implementations with real-time capabilities.

Examples Overview

• Voice Agent WebSocket : A simple voice assistant pipeline using WebSocket-based transport. This example demonstrates integration with NVIDIA LLM Service, Nemotron Speech ASR and TTS NIMS.
• Voice Agent WebRTC : A more advanced voice agent using WebRTC Transport with real-time transcripts, dynamic prompt configuration and TTS voice selection via UI.
• NAT Agent (NeMo Agent Toolkit) : An end-to-end intelligent voice assistant powered by NeMo Agent Toolkit. The ReWoo agent uses planning-based approach for efficient task decomposition and execution with custom tools for menu browsing, pricing and cart management.

We recommend starting with the Voice Agent WebSocket example for a simple introduction, then progressing to WebRTC-based examples for production use cases. More details on examples can be found in [examples README.md](examples/README.md).

NVIDIA Pipecat

The NVIDIA Pipecat library augments [the Pipecat framework](https://github.com/pipecat-ai/pipecat) by adding additional frame processors and NVIDIA services. This includes the integration of NVIDIA services and NIMs such as [Nemotron Speech ASR Parakeet](https://build.nv