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.
The post Patter SDK Guide to Building a Restaurant Booking Phone Agent with Dynamic Variables, Guardrails, Latency Dashboards, and Eval Checks appeared first on MarkTechPost.