Deploy Voice AI Agents to Production with Full Observability
Загружено: 2026-02-09
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👉 Sign up for LiveKit Cloud: https://cloud.livekit.io/signup?utm_s...
Learn how to measure voice agent performance, deploy to LiveKit Cloud, and optimize latency with preemptive generation. Get full observability with transcripts, traces, and audio recordings in production.
You've built a working voice agent. Now you need to know if it's actually performing well. This lesson covers metrics collection, LiveKit Cloud deployment, latency optimization techniques, and using Agent Observability to debug and improve your agent in production.
*What you'll learn:*
Key metrics that matter (TTFA, TTFT, token usage, interruption rate)
How to collect and log performance metrics locally
Enabling preemptive generation to reduce response latency
Deploying to LiveKit Cloud with one command
Using Agent Observability for transcripts, traces, and logs
*What you'll build:*
Usage metrics collection with per-session summaries
Time to first audio (TTFA) tracking
Preemptive generation for 100-300ms latency improvements
Production deployment on LiveKit Cloud
Full observability with synchronized transcript and trace views
The goal is time to first audio under 1 second for most responses. You'll learn how to identify bottlenecks using trace spans, optimize your provider selection, and make data-driven decisions about which features to add next.
*LiveKit Cloud deployment benefits:*
Automatic scaling and load balancing
Built-in observability integration
Global network infrastructure
No server management required
Agent Observability gives you three synchronized views: transcripts with audio playback, turn-by-turn traces showing exactly where time is spent, and runtime logs for debugging. All OpenTelemetry-compatible.
This is lesson 4 of the LiveKit Voice Agents workshop series. With metrics and deployment in place, you're ready to optimize and scale.
📚 Resources 📚
Agent docs: https://docs.livekit.io/agents/?utm_s...
Written workshop: https://worksh.app/tutorials/livekit-...
🤝 Join the Community Slack: https://livekit.io/join-slack?utm_sou...
#livekit #ai #voiceai
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