Patter SDK Guide to Building a Restaurant Booking Phone Agent with Dynamic Variables, Guardrails, Latency Dashboards, and Eval Checks

Summary

<p>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 text-to-speech behavior, run scripted call flows, and track modeled latency and cost in a dashboard. We validate the agent with a deterministic eval harness, then map the same logic to a real deployment using Twilio and OpenAI Realtime.</p> <p>The post <a href="https://www.marktechpost.com/2026/07/16/patter-sdk-guide-to-building-a-restaurant-booking-phone-agent-with-dynamic-variables-guardrails-latency-dashboards-and-eval-checks/">Patter SDK Guide to Building a Restaurant Booking Phone Agent with Dynamic Variables, Guardrails, Latency Dashboards, and Eval Checks</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>