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

A robust, modular language model (LLM) pipeline has been developed using Promptflow, Prompty, and OpenAI. This system integrates deterministic tools, structured prompting, and reusable flow components for transparency and scalability. It includes batch execution, linked evaluation runs, tracing, and aggregation functions to measure performance through accuracy metrics and detailed reasoning.

This workflow demonstrates how reliable, end-to-end LLM applications can be designed with strong foundations in structure, evaluation, and reproducibility.

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