azure-ai-evaluation-py Skill

What it does

Python SDK for evaluating generative AI applications using Azure OpenAI. Supports quality metrics (groundedness, relevance, coherence), NLP-based scoring (F1, BLEU, ROUGE), and safety evaluations (violence, hate, self-harm). Results can be logged to Azure AI Foundry for tracking across runs.

Why it's useful

Combines quality, NLP, and safety evaluators in one SDK with direct Azure AI Foundry integration, eliminating the need to wire together separate scoring libraries.

Use cases

Scoring RAG pipeline responses for groundedness against source documents

Running safety checks on chatbot outputs before production deployment

Batch evaluating a dataset of query/response pairs with multiple metrics

Logging evaluation runs to Azure AI Foundry for regression tracking

Building custom domain-specific evaluators for specialized content

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