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Read the announcementWhy deploy LiveKit Voice Agent on Render?
LiveKit Voice Agent is a real-time voice AI application framework that combines LiveKit's WebRTC infrastructure with LLM-powered conversational agents. It enables developers to build voice-based AI assistants with speech recognition, text-to-speech, and GPT integration in a single deployable stack.
This template wires together a Next.js voice UI frontend and a LiveKit agent worker as separate Render services, with all inter-service communication and environment variables pre-configured—saving you from manually orchestrating the multi-service architecture. The agent worker is set up with appropriate resource allocation (8GB+ RAM required for AI model loading) and health checks out of the box. One-click deploy gets both services running with auto-scaling enabled, so you skip the Docker orchestration and infrastructure configuration entirely.
Architecture
What you can build
After deploying, you'll have a browser-based voice chat application where users can speak directly with a GPT-4.1 Mini-powered AI agent. The system handles speech-to-text via AssemblyAI, generates responses, and speaks back using Rime's text-to-speech—all in real-time through LiveKit's infrastructure. You can customize the agent's personality and voice by editing a single configuration file.
Key features
- GPT-4.1 Mini LLM: Uses OpenAI's GPT-4.1 Mini model for generating intelligent conversational responses in real-time voice interactions.
- Rime TTS Integration: Provides high-quality text-to-speech with multiple voice options (rainforest, lagoon, astra) using the mistv2 model.
- AssemblyAI STT: Leverages AssemblyAI for accurate speech-to-text transcription of user voice input.
- Silero VAD: Includes Silero voice activity detection for intelligent turn-taking and background noise reduction.
- Render Auto-scaling Deployment: Pre-configured render.yaml blueprint deploys separate Next.js app and LiveKit agent services with health checks and auto-scaling.
Use cases
- Startup founder builds voice customer support bot for e-commerce store
- Developer creates hands-free voice assistant for smart home control
- Healthcare team prototypes patient intake system using conversational AI
- Educator builds interactive voice tutor for language learning app
What's included
Service | Type | Purpose |
|---|---|---|
voice-agent-app | Web Service | Application service |
voice-agent-worker | Private Service | Application service |
Prerequisites
- LiveKit API Key: Your API key for authenticating with LiveKit Cloud's real-time communication platform.
- LiveKit API Secret: Your secret key for securely signing tokens and authenticating with LiveKit Cloud.
- LiveKit WebSocket URL: The WebSocket URL for connecting to your LiveKit Cloud project.
- Rime API Key: API key for Rime's high-quality text-to-speech service used for voice synthesis.
- OpenAI API Key: API key for accessing OpenAI's GPT-4.1 Mini model that powers the AI assistant's responses.
- AssemblyAI API Key: API key for AssemblyAI's speech-to-text service used for accurate speech recognition.
Next steps
- Open your web app URL and click the microphone button to start a voice conversation — You should hear the agent greet you and see the voice activity indicator respond to your speech within 2-3 seconds
- Test the agent's responsiveness by asking a simple question like 'What can you help me with?' — You should receive a spoken response from the Rime TTS voice (lagoon) within 5 seconds, confirming GPT-4.1 Mini and AssemblyAI are connected
- Open the Render dashboard and check the agent worker logs under the agent service — You should see 'Agent connected' messages and real-time transcription logs showing your speech being processed