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Optimizing Memory Usage for Scaling Agent Processes in LiveKit
Problem Description:
I have an agent process that currently uses around 50MB of resident memory (RES). I need to scale this system to handle 1,000 rooms simultaneously, and if each room results in a separate agent process, this would lead to a total memory usage of:
1,000 rooms * 50MB per agent = 50GB of memory
This memory consumption is far too high for my resources, and as I add more logic to the agent, the memory usage could increase even further. The goal is to efficiently manage memory while still supporting the required number of rooms.
I need a solution that allows me to reduce the memory overhead, scale effectively, and handle 1,000 or more rooms without using such a large amount of memory.
env livekit server: 1.7.2 livekit agent: 0.10.2
Thanks for your response.