AgentEval is the comprehensive .NET toolkit for AI agent evaluation—tool usage validation, RAG quality metrics, stochastic evaluation, and model comparison—built first for Microsoft Agent Framework (MAF) and Microsoft.Extensions.AI. What RAGAS, PromptFoo and DeepEval do for Python, AgentEval does for .NET
These files are AgentEvalHQ/AgentEval's own configuration. They tell GitHub Copilot, Codex, OpenCode and Claude Code how to work on this repository, so they are not mods to install elsewhere. Copy one as a starting point and replace the parts that are about this project.
.github/copilot-instructions.md A 2,994 tok .github/instructions/assertions.instructions.md A 629 tok .github/instructions/dependency-injection.instructions.md A 850 tok .github/instructions/docfx.instructions.md B 1,112 tok .github/instructions/documentation.instructions.md A 1,257 tok .github/instructions/maf-doctor.instructions.md C 855 tok .github/instructions/maf-updates.instructions.md A 3,171 tok .github/instructions/maf-upgrade-preparation.instructions.md A 3,594 tok .github/instructions/memory-benchmarks.instructions.md A 4,074 tok .github/instructions/metrics.instructions.md A 698 tok .github/instructions/samples.instructions.md A 575 tok .github/instructions/testing.instructions.md A 484 tok .github/instructions/tracing.instructions.md A 999 tok AGENTS.md A 2,217 tok CLAUDE.md A 559 tok