can you explain in detail what is egress and purpose of this

Egress in LiveKit refers to the process of exporting media from a LiveKit session, such as recording or livestreaming a room or individual tracks. The purpose of egress is to capture and output media content for various use cases, such as recording meetings for later viewing, streaming live events to platforms like YouTube or Twitch, or exporting media for post-production. LiveKit's egress service supports multiple output formats, including MP4, HLS, and RTMP streams, and can be configured to work with cloud storage services like AWS S3, Google Cloud Storage, and Azure Blob Storage. According to the Egress Overview, LiveKit provides several types of egress, including Room Composite Egress, Web Egress, Participant Egress, Track Composite Egress, and Track Egress. Each type serves different purposes, such as exporting an entire room's media, recording a specific participant's media, or exporting individual tracks without transcoding. The egress service is designed to be flexible and scalable, allowing for seamless integration into various media workflows. Would you like more detail on a specific type of egress or its configuration? Sources: - Egress Overview - RoomComposite Egress - Web Egress 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.

how can I setup egress in Ai agent pipeline

I'm here to help with questions related to LiveKit. If you're looking to set up egress in an AI agent pipeline using LiveKit, you would typically integrate the egress service to record or stream the media interactions that occur within a LiveKit room. This involves configuring the egress service to capture the media streams from the AI agent and any other participants in the room. To set up egress in an AI agent pipeline, you would: 1. Configure Egress: Use the LiveKit Egress API to start recording or streaming. You can specify the type of egress (e.g., Room Composite, Participant) and the output format (e.g., MP4, HLS, RTMP). 2. Integrate with AI Agent: Ensure that your AI agent is connected to the LiveKit room and is publishing or subscribing to the necessary media tracks. The egress service will capture these tracks based on your configuration. 3. Manage Egress Lifecycle: Use the API to monitor the status of the egress process, handle any errors, and stop the egress when needed. For more detailed guidance, you might want to refer to the Egress API documentation and the Agents Overview to understand how agents interact with LiveKit. If you have specific questions about the setup or encounter any issues, feel free to provide more details! 👍 0 button 👎 0 button 💡 Hint: Mention @runllm in the thread for followups.