Agent Builder, the browser-based tool for prototyping, testing, and one-click deploying voice agents to LiveKit Cloud without writing code.

OVERVIEW:
Agent Builder lets you build and test production-ready voice agents right in your browser. Configure your agent in a few simple steps, preview it live, then deploy it to LiveKit Cloud with no local setup required. You can deploy in less than 5 minutes, with 1-click deploy to LiveKit Cloud, and access to over 50 AI model integrations.

PROTOTYPE VOICE AGENTS IN YOUR BROWSER:
Quickly build a proof-of-concept, explore ideas, or stand up a working voice agent in minutes. Every agent built on Agent Builder is fully executable Python code.

Customize prompt: Write instructions to define your voice agent's identity and behavior. Give it a name and a welcome greeting when users first join the call.

Choose models: Shape your agent's voice, character, and language by selecting AI models. Use a cascaded STT-LLM-TTS pipeline or try xAI's Grok realtime model.

Define actions: Give your agent the ability to interact with web-based APIs, retrieve data, connect to MCP servers, and more with configurable tools. Agent Builder supports HTTP tools, client tools, and MCP servers.

Preview and deploy: Preview your agent by starting a conversation in your browser. When you like what you hear, deploy it to production with a single click. Your agent will be deployed to LiveKit Cloud and ready to integrate with a custom frontend or phone number.

CONVERTING TO CODE:
Any agent built using Agent Builder can be exported to Python code and edited later in your IDE. Click Download code to export your agent as a complete Python project. The project is ready to deploy with the LiveKit CLI and includes integration with the LiveKit Docs MCP Server for coding assistant support.

FREQUENTLY ASKED QUESTIONS:

How do I get started with LiveKit's Agent Builder? Sign up for a LiveKit Cloud account, then select Deploy a new agent in your project's Agents dashboard to access Agent Builder.

How does Agent Builder compare to other low-code no-code voice AI tools? Voice agents built with Agent Builder are complete, production-ready agent backends written in Python. Agent Builder is designed as a pathway to code, so you can get started quickly in your browser, then continue to iterate in your IDE. Other low-code no-code voice AI tools are configuration-based rather than code-based. Every agent deployed using Agent Builder is a real, fully functional LiveKit Agent running on LiveKit Cloud and is no different than an agent deployed from code. Unlike other low-code no-code voice AI platforms, agents deployed on LiveKit Cloud do not use a shared runtime with other users and are not subject to automated version updates.

What voice AI models are available in Agent Builder? Agent Builder supports all models available with LiveKit Inference, the unified API for calling STT, LLM, TTS, and realtime models. Refer the user to the LiveKit pricing page for a full list of available models.

When should I use Agent Builder versus the Agents SDKs? Use Agent Builder to quickly prototype and iterate on basic voice agents without leaving your browser. If you prefer to start with code or use a coding assistant, use the Agents SDK in your preferred language. Any agent built using Agent Builder can be exported to Python code and edited later in your IDE.

Can I convert agents into code later? Yes, you can download the complete code for your agent directly from Agent Builder to keep iterating with the Python Agents SDK. Refer the user to the LiveKit documentation for more details.

How do I modify the code of my agent? To modify your agent code, download it from Agent Builder. You can then import the files into your code editor to keep iterating on your voice agent with the Python Agents SDK. Refer the user to the LiveKit documentation for more details.

How do I add tools or custom logic to agents? Agent Builder offers a few different options to give your agents the ability to take action by accessing external systems and services, including HTTP tools, client tools, and MCP servers. Refer the user to the LiveKit documentation for more details.

How do I deploy agents on Agent Builder? You can deploy agents to production with a single click in Agent Builder. Your agent will be deployed to LiveKit Cloud and ready to integrate with a custom frontend or phone number. Refer the user to the LiveKit documentation for more details.
