Patter SDK Guide to Building a Restaurant Booking Phone Agent with Dynamic Variables, Guardrails, Latency Dashboards, and Eval Checks
Restaurant agents are shipping. Patter SDK just made voice workflows with real-time evals and latency tracking production-ready.
Why it matters
Voice agents are moving from labs to live services. This walkthrough shows how builders are layering guardrails, cost tracking, and deterministic eval harnesses into production phone agents—the infrastructure pattern that matters for scaling voice beyond chatbots.
The key facts
6 to knowPatter SDK enables voice-agent workflows with dynamic caller variables and callable tools
Output guardrails layered over every agent reply
Latency and cost tracked in real-time dashboard
Deterministic eval harness for validation before deployment
Integration with Twilio and OpenAI Realtime for production deployment
Restaurant booking use case demonstrates callable tool registration (availability, bookings, hours, human transfer)
Go to the source
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Publisher excerpt: We explore the Patter SDK by building a voice-agent workflow for a restaurant booking use case. We define dynamic caller variables, register callable tools for availability, bookings, hours, and human transfer, and layer output guardrails over every reply. We simulate speech-to-text and…