Microsoft.Extensions.AI.Evaluation 

A library that defines core abstractions and types for supporting evaluation.

A library containing evaluators that can be used to evaluate the quality of AI responses in your projects including Relevance, Truth, Completeness, Fluency, Coherence, Retrieval, Equivalence and Groundedness.

A library that contains support for caching LLM responses, storing the results of evaluations and generating reports from that data.

A command line dotnet tool for generating reports and managing evaluation data.

A library that contains a set of evaluators that are built atop the Azure AI Foundry Evaluation service that can be used to evaluate the content safety of AI responses in your projects including Protected... More information

A library that contains a set of evaluators that implement commonly used algorithmic evaluators.

A library that supports the Microsoft.Extensions.AI.Evaluation.Reporting library with an implementation for caching LLM responses and storing the evaluation results in an Azure Storage container.