How to Build Traceable and Evaluated LLM Workflows Using Promptflow, Prompty, and OpenAI

A tutorial shows how to build a traceable, evaluated LLM workflow in Promptflow using Prompty, OpenAI, tracing, and an LLM-as-judge evaluation step.

It starts by setting up Promptflow in Colab, creating an OpenAI connection, and defining a Prompty-based assistant.

The workflow then wires a class-based flow with deterministic tools, making preprocessing and behavior more repeatable.

Tracing is enabled to make execution observable, and an evaluation pipeline scores outputs against expected answers.

The result is a practical pattern for production-style LLM apps with reusable config, observability, and automated quality checks.