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

MarkTechPost / 4/29/2026

💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage

Key Points

  • The article is a tutorial that demonstrates how to build a production-style LLM workflow using Promptflow in a Colab environment.
  • It shows how to set up a reliable keyring backend to avoid OS-specific dependency issues and securely configure an OpenAI connection.
  • It walks through creating a clean workspace and defining a structured Prompty file as the core component of the LLM workflow.
  • The workflow emphasizes traceability and evaluation so you can validate LLM behavior as part of a real development process.
  • Overall, it provides an end-to-end setup pattern for developers integrating OpenAI-based LLMs with Promptflow and Prompty.

In this tutorial, we build a complete, production-style LLM workflow using Promptflow within a Colab environment. We begin by setting up a reliable keyring backend to avoid OS dependency issues and securely configure our OpenAI connection. From there, we establish a clean workspace and define a structured Prompty file that acts as the core LLM […]

The post How to Build Traceable and Evaluated LLM Workflows Using Promptflow, Prompty, and OpenAI appeared first on MarkTechPost.