How to load test voice agents and get meaningful results

Effective LiveKit Cloud voice-agent load testing should use gradual ramp-ups rather than sudden bursts, since burst tests artificially strain autoscaling, exhaust quotas, inflate join latency, and produce misleading failure rates unlike real user traffic. The recommended `lk perf agent-load-test` CLI sequentially creates rooms, dispatches agents, and uses echo participants to simulate conversations, while deployed-agent tests provide dashboard metrics such as join latency, session counts, logs, transcripts, and recordings. Accurate tests require agents to initiate conversations, production start mode rather than development mode, realistic incremental concurrency increases followed by a sustained target-load period, and monitoring of join delay, first-message delivery, end-to-end response latency, errors, and resource utilization. Testers should verify session, inference, and billing quotas beforehand, use cloud VMs rather than local internet connections for high concurrency, coordinate with LiveKit for large-scale tests, and apply the same controlled ramp-up principles when creating custom SDK-based test scenarios.

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