Production Voice AI Workflows: Consent and Escalations

👉 Sign up for LiveKit Cloud: https://cloud.livekit.io/signup?utm_source=youtube&utm_medium=video&utm_campaign=devrel&utm_content=bc9kI5TRhX4 Complete your production voice agent with operational workflows for consent collection, agent escalations, and human handoffs. Learn how to build structured tasks, preserve conversation context, and handle real-world customer service scenarios. Production voice agents need more than just conversation. They need to collect consent before recording, escalate to specialized agents when needed, and hand off to human agents as a last resort. This final lesson covers building these production workflows with AgentTask and proper handoff patterns. **What you'll learn:** - Why consent and escalation workflows matter in production - Building structured tasks that complete and return results - Preserving conversation context across handoffs - Escalating to specialized manager agents - Warm handoffs to human agents via SIP - Multi-step workflows with TaskGroup - Testing escalation paths and edge cases **What you'll build:** - Consent collection task with clear yes/no responses - Manager escalation with different voice and personality - Human handoff integration for ultimate escalation - Multi-step checkout flow with TaskGroup - Complete production-ready agent workflow Tasks are focused units of work. Your consent task runs at the start of a session, asks for recording permission, and returns true or false. The main agent then proceeds based on that result. Clean separation of concerns. **Production flow example:** 1. Consent task collects recording permission 2. Triage agent determines user needs 3. Specialized agent handles the specific request 4. Manager escalation if needed 5. Human handoff as last resort Each transition preserves relevant context using chat_ctx while allowing agents to have different personalities, voices, tools, and permissions. **Workshop complete!** You've built a production-quality voice agent from scratch with: - Natural turn-taking and low latency - Personality and provider failover - Metrics collection and observability - External tool integrations - Structured workflows and escalations This is lesson 6, the final lesson of the LiveKit Voice Agents workshop series. You now have all the skills needed to build, deploy, and operate production voice AI systems. 📚 Resources 📚 Agent docs: https://docs.livekit.io/agents/?utm_source=youtube&utm_medium=video&utm_campaign=devrel&utm_content=bc9kI5TRhX4 Written workshop: https://worksh.app/tutorials/livekit-voice-agent/introduction 🤝 Join the Community Slack: https://livekit.io/join-slack?utm_source=youtube&utm_medium=video&utm_campaign=devrel&utm_content=bc9kI5TRhX4 #livekit #ai #voiceai