On the build plan, the agent session concurrency limit is 20. What I want to know is that is if that is only for agents deployed to LiveKit Cloud, or if I deploy my agents to Render, if I'm still limited to those 20

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If I were hitting concurrency rate limits for agent sessions, what would be the behavior that I would anticipate happening with my agents?

You're asking what you'll see happen if you hit agent session concurrency limits. Expect the following: • New agent sessions will fail to start immediately — attempts to create or join an agent-backed session will be rejected. • Requests are rejected (not queued or delayed); callers will see errors/timeouts when trying to establish a session. • Job dispatches to agents will fail when the account-level cap is reached, so agents won't receive new assignments. • Dashboard/metrics will show active agent sessions at or near the concurrency limit; logs may show JobRequest failures or dispatch timeouts. • Normal recovery occurs once concurrent sessions drop below the limit; new sessions can then be created. If you want, I can help you detect this in logs/metrics or suggest monitoring thresholds and autoscaling settings to avoid hitting the cap. Sources: Quotas and limits | LiveKit docs | Agent server | LiveKit docs | Agents Framework | livekit/livekit_composite | DeepWiki | Analytics API | LiveKit docs

Yeah, go ahead and do

I'll help you set up detection, monitoring, and mitigation so you can spot and avoid hitting agent session concurrency limits. 1) Detecting limit hits • Watch for failed session creation errors in your agent and server logs (errors indicating concurrency limit exceeded or JobRequest failures/dispatch timeouts). • Dashboard: monitor active agent session count reaching the plan limit. • Instrument metrics: track a gauge for

active_agent_sessions

and a counter for

agent_session_failures

. 2) Monitoring & alerts • Create alerts when

active_agent_sessions

≥ 80–90% of your plan limit (e.g., for a 20 limit, alert at 16–18). • Alert on spikes in

agent_session_failures

or dispatch timeouts (e.g., >5 failures/min). • Send alerts to your existing channels (PagerDuty, Slack, email). 3) Short-term mitigation • Return a clear error to callers when session creation fails so clients can surface a friendly message and optionally retry after backoff. • Implement client-side exponential backoff with a max retry window and user-facing messaging indicating capacity is full. 4) Long-term mitigation • Scale your own agent workers (for Render/Kubernetes): add instances and configure autoscaling policies based on

active_agent_sessions

or CPU/memory. • Tune AgentServer

load_fnc

/

load_threshold

so workers accept jobs only when under desired load. • If using LiveKit Cloud and you consistently hit limits, consider plan upgrade to raise account-level concurrency. 5) Suggested metrics to collect • active_agent_sessions (gauge) • agent_session_attempts (counter) • agent_session_failures (counter) • agent_dispatch_latency (histogram) • agent_worker_load (gauge) 6) Next steps I can help with • Draft alert rules for your monitoring stack (Prometheus/Cloud Monitoring) and example queries. • Example log patterns to search for in your logging system. • Suggested

load_threshold

values and autoscaling rules for Render or Kubernetes. Which of those would you like first — alert rules, log search patterns, or autoscaling/load_threshold examples?