LiveKit provides a killer framework for real-time communication with AI agents in the cloud. Switchboard enhances this by enabling developers to create flexible audio graphs at the edge or in the cloud.

For example, if you're building an app with AI agents in voice or video chats, Switchboard lets you control the agent's voice, personality, offline communication, audio balance with humans, and interactions with music and media, all while simplifying the development and management process.

Thanks to Switchboard’s extensive nodes library, it’s easy to include complementary features in your LiveKit project, such as noise suppression, voice changers, generated audio content, various speech-to-text and text-to-speech options, and to experiment with other LLMs and audio AI features that enhance LiveKit’s offerings.

In addition to its AI capabilities, LiveKit is an excellent framework for building virtual collaboration apps. With or without AI, Switchboard makes many use cases easier to build thanks to its media and entertainment related nodes. Music and video players, livestreams, stem separation, and other tools make it easy to build complex workflows. Let LiveKit handle the transportation of audio packets over the internet, while Switchboard makes it easier to route them through custom audio-graphs that can be deployed on-device, on-premises, or in the cloud.

Switchboard offers on-device flexibility, enabling easy deployment on any platform, including mobile, desktop, web, and embedded. Leverage performant C++ audio graphs without needing to write C++. Build graphs with flexibility around which components live on-device vs. in the cloud. Rapidly test different nodes, including open-source options and third-party integrations, without rewriting your graph each time.