Monitor, Debug, and Evaluate Agents with Mastra Observability and Studio

Learn how to ship Mastra agents with real observability so you can debug faster, measure quality, and improve behavior over time. In this workshop, we’ll cover how to instrument Mastra agents with traces, logs, and metrics using Mastra Observability, then use that telemetry inside Mastra Studio to score runs, build datasets, and compare experiments. You’ll see how to track cost, latency, token usage, and quality signals, inspect traces and execution flows, connect errors back to their source, and turn production issues into repeatable regression coverage. By the end, you’ll understand the full feedback loop for agent improvement: capture telemetry, find the signal, evaluate what matters, and turn good behavior into something your team can measure and scale. 🔗 MENTIONED IN THE WORKSHOP https://mastra.ai/platform-observability https://mastra.ai/docs/observability/... 📚 MASTRA RESOURCES Website: https://mastra.ai X: https://x.com/mastra_ai Discord: https://mastra.ai/community/discord GitHub: https://github.com/mastra-ai Course: https://mastra.ai/course Principles of Building AI Agents: https://mastra.ai/books/principles-of... Patterns of Building AI Agents: https://mastra.ai/books/patterns-of-b... WHAT IS MASTRA? Mastra is an open-source TypeScript framework designed for building and shipping AI-powered applications and agents with minimal friction. It supports the full lifecycle of agent development — from prototype to production.