Suppose I have an agent - that does 1:1 convos. Can that one agent have multiple 1:1 convos happening at same time?

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So one convo per agent?

Absolutely! A single agent can have multiple sessions running at the same time. Each session works in its own process under a worker, so the agent can juggle different tasks or users all at once. Don’t worry—each session is managed separately to keep everything running smoothly and without any mix-ups. Sources: Anatomy of an Agent | LiveKit Docs | examples/voice_agents/multi_agent.py | Worker lifecycle | LiveKit Docs

So the single agent can have multiple tasks or users or even convos happening simultaneously?

Think of a single agent in LiveKit as someone who can focus on one conversation at a time. But don’t worry—if you have lots going on, the system can run multiple agents simultaneously, each taking care of their own chat. So, even though one agent handles just one conversation, together they work side-by-side to keep everything running smoothly and manage lots of interactions without a hitch. Sources: livekit-agents/livekit/agents/voice/agent_activity.py | Workflows | LiveKit Docs | Worker lifecycle | LiveKit Docs

What’s diff between agent and workers

Hey there! Just wanted to share a quick breakdown of how agents and workers work in LiveKit: • Agent: Think of an agent as the brain behind the scenes—it’s the application logic that carries out specific tasks like chatting with users or handling data. It basically sets the flow for what happens on the server side. • Worker: Now, a worker is like the helpful manager. It runs the agents, keeps everything organized, queues up jobs, balances the load, and can even run several agents at once. So, to keep it simple: agents get the job done, and workers make sure everything runs smoothly and scales up when needed. Hope that clears things up! Sources: LiveKit Agents | Worker lifecycle | LiveKit Docs | Deployment and scaling | LiveKit Docs

And agentsessions?

AgentSessions in LiveKit are like the friendly hosts that keep everything running smoothly during a session. They take care of user input, voice pipelines, and chatting with the agent, which is where the AI magic happens to get things done. Here’s a quick rundown of how they each play their part: • AgentSession: Think of this as the one-on-one interaction manager—it handles each session and needs an agent to make things work. • Agent: This is the brain behind the scenes, running the AI logic and using tools to tackle tasks within an AgentSession. • Worker: The multitasker! It keeps an eye on deployment, schedules jobs, and juggles multiple agents and sessions all at once. All together, this setup helps keep interactions smooth and makes sure everything can grow without a hitch.

So does -1:1 convos happening happen within an agentsession room?

Yep, 1:1 conversations take place inside an AgentSession room in LiveKit. Think of the AgentSession as the one managing the chat, while RoomIO acts like the bridge connecting the session to the LiveKit room. This way, the agent can listen to audio from specific participants and send responses right back, making sure the 1:1 conversation stays clear and focused. Sources: AI Agents Framework | livekit/livekit_composite | DeepWiki | examples/avatar_agents/bey/agent_worker.py