loud-art-83554
02/21/2026, 7:18 PMtall-airline-16756
02/21/2026, 7:18 PMtall-airline-16756
02/21/2026, 7:19 PMagent-us-east, agent-eu-west).
• When issuing a room join token, include a room/agent configuration that specifies which agent(s) to target for that room.
• Determine the best region for a user before creating the token (client geolocation, IP-based geolocation, or a client-side latency probe) and issue the token that dispatches to agents in that region.
Benefits: deterministic routing, simple to operate. Tradeoffs: you must implement the region selection logic when issuing tokens.
2) Regional dispatch proxy (recommended for larger fleets)
• Deploy a small orchestration service in each region.
• When a user wants to join, the client calls the regional orchestrator (or you route them to the regional orchestrator), which:
◦ Picks the nearest agent instance in that region (or checks local agent pool health/available capacity).
◦ Calls the AgentDispatch API (or creates the dispatch via your server SDK) with the chosen agent_name.
• Optionally combine with health checks and a small local queue to handle short bursts or agent churn.
Benefits: centralized control per region, real-time health/availability checks, easier autoscaling per region. Tradeoffs: more infrastructure to operate.
3) Network/DNS-based routing + regional agent pools
• Use latency-based DNS/CDN routing (e.g., Route 53 latency routing) or any traffic steering so clients connect to the closest ingress/region.
• Maintain an agent pool co‑located with those ingress endpoints.
• Use simpler dispatch rules that bias toward the local pool (via agent naming or regional orchestrator).
Benefits: leverages existing network routing; fewer application changes. Tradeoffs: less precise than direct latency measurement; depends on DNS routing behavior.
Implementation notes and practical tips
• Tag your agent instances clearly with region metadata so orchestrators or token builders can pick them.
• If you use token-based routing, generate tokens only after determining the best region for the user.
• If you need to measure latency client-side, short UDP/TCP probes or WebRTC ICE connectivity checks can help pick the nearest region dynamically.
• Add health checks and capacity metrics to avoid routing to overloaded local agents.
• Consider fallback logic: if the preferred region’s agents don’t accept a job, retry to other regions (this mimics the current retry behavior and prevents failed joins).
If you’d like, I can:
• Walk you through an example flow for either token-based dispatch or a regional orchestrator.
• Draft a minimal orchestrator design (endpoints, health checks, dispatch call examples).
• Suggest client-side region-detection methods that fit your stack.
Which approach sounds closest to what you want to build — explicit token dispatch, regional proxy/orchestrator, or DNS-based routing? That will let me give a short, targeted example you can implement.
Sources: Self-hosted deployments | LiveKit Documentation | Agent dispatch | LiveKit Documentation