AgentEval 0.9.0-beta

.NET 8.0 This package targets .NET 8.0. The package is compatible with this framework or higher.
This is a prerelease version of AgentEval.
There is a newer prerelease version of this package available.
See the version list below for details. 
dotnet add package AgentEval --version 0.9.0-beta
                    


                    

                
NuGet\Install-Package AgentEval -Version 0.9.0-beta
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="AgentEval" Version="0.9.0-beta" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
<PackageVersion Include="AgentEval" Version="0.9.0-beta" />
                    


                            Directory.Packages.props
                        

                    

                
<PackageReference Include="AgentEval" />
                    


                            Project file
For projects that support Central Package Management (CPM), copy this XML node into the solution Directory.Packages.props file to version the package. 
paket add AgentEval --version 0.9.0-beta
                    


                    

                
#r "nuget: AgentEval, 0.9.0-beta"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
#:package AgentEval@0.9.0-beta
#:package directive can be used in C# file-based apps starting in .NET 10 preview 4. Copy this into a .cs file before any lines of code to reference the package. 
#addin nuget:?package=AgentEval&version=0.9.0-beta&prerelease
                    


                            Install as a Cake Addin
                        

                    

                
#tool nuget:?package=AgentEval&version=0.9.0-beta&prerelease
                    


                            Install as a Cake Tool

AgentEval

The .NET Evaluation Toolkit for AI Agents

Built first for Microsoft Agent Framework (MAF) and Microsoft.Extensions.AI. What RAGAS and DeepEval do for Python, AgentEval does for .NET.

Features

  • 🎯 Tool Tracking — Monitor tool/function calls with timing, arguments, and ordering
  • ✅ Fluent Assertions — Expressive assertions with rich failure messages, because reasons, and assertion scopes
  • 📊 Performance Metrics — TTFT, latency, tokens, cost estimation for 8+ models
  • 🔬 RAG Metrics — Faithfulness, relevance, context precision/recall, answer correctness
  • 🛡️ Red Team Security — 9 attack types, 192 probes, OWASP LLM Top 10 coverage
  • ⚖️ Responsible AI — Toxicity, bias, and misinformation detection metrics
  • 📈 Stochastic Evaluation — Statistical model comparison with multi-run analysis
  • 🔄 Trace Record & Replay — Deterministic CI testing without LLM calls
  • 🎯 Calibrated Evaluator — Multi-model consensus-driven scoring
  • 🔌 Extensible — Adapter pattern for any agent framework

Quick Start

using AgentEval;
using AgentEval.MAF;
using AgentEval.Assertions;

// Create evaluation harness
var harness = new MAFEvaluationHarness(evaluatorClient);

// Run evaluation with tool tracking
var result = await harness.RunEvaluationAsync(agent, new TestCase
{
    Name = "Feature Planning Test",
    Input = "Plan a user authentication feature",
    EvaluationCriteria = ["Should include security considerations"]
});

// Assert tool usage with "because" reasons
result.ToolUsage!
    .Should()
    .HaveCalledTool("SecurityTool", because: "auth features require security review")
        .BeforeTool("FeatureTool")
        .WithoutError()
    .And()
    .HaveNoErrors();

// Assert performance
result.Performance!
    .Should()
    .HaveTotalDurationUnder(TimeSpan.FromSeconds(10))
    .HaveEstimatedCostUnder(0.10m);

Red Team Security Scanning

var result = await AttackPipeline.Create()
    .WithAllAttacks()
    .ScanAsync(agent);

result.Should().HaveOverallScoreAbove(85);
result.ExportAsync("security-report.sarif", ExportFormat.Sarif);

Trace Record & Replay

Capture agent executions for deterministic replay — no LLM calls needed in CI:

// Record
await using var recorder = new TraceRecordingAgent(realAgent, "weather_test");
var response = await recorder.InvokeAsync("What's the weather?");
await TraceSerializer.SaveToFileAsync(recorder.Trace, "trace.json");

// Replay (deterministic, free)
var trace = await TraceSerializer.LoadFromFileAsync("trace.json");
var replayer = new TraceReplayingAgent(trace);
var replayed = await replayer.InvokeAsync("What's the weather?");

Model Comparison

var result = await comparer.CompareModelsAsync(
    factories: [gpt4oFactory, gpt4oMiniFactory],
    testCases: testSuite,
    options: new ComparisonOptions(RunsPerModel: 5));

Console.WriteLine(result.ToMarkdown());

Quality Assurance

  • Comprehensive evaluation suite targeting net8.0, net9.0, and net10.0
  • All evaluations passing ✅

Installation

dotnet add package AgentEval --prerelease

Single package, modular internals — AgentEval ships as one NuGet package containing 6 focused assemblies:

  • AgentEval.Abstractions — Public contracts and interfaces
  • AgentEval.Core — Metrics, assertions, comparison, tracing
  • AgentEval.DataLoaders — Data loading and export (JSON, YAML, CSV, JSONL)
  • AgentEval.MAF — Microsoft Agent Framework integration
  • AgentEval.RedTeam — Security testing (multiple attack types and probes)

Service Registration

// Register all services at once (recommended):
services.AddAgentEvalAll();

// Or register selectively:
services.AddAgentEval();              // Core services only
services.AddAgentEvalDataLoaders();   // DataLoaders + Exporters
services.AddAgentEvalRedTeam();       // Red Team security testing

Documentation

License

MIT License — See LICENSE for details.

Product Compatible and additional computed target framework versions.
.NET net8.0 is compatible.  net8.0-android was computed.  net8.0-browser was computed.  net8.0-ios was computed.  net8.0-maccatalyst was computed.  net8.0-macos was computed.  net8.0-tvos was computed.  net8.0-windows was computed.  net9.0 is compatible.  net9.0-android was computed.  net9.0-browser was computed.  net9.0-ios was computed.  net9.0-maccatalyst was computed.  net9.0-macos was computed.  net9.0-tvos was computed.  net9.0-windows was computed.  net10.0 is compatible.  net10.0-android was computed.  net10.0-browser was computed.  net10.0-ios was computed.  net10.0-maccatalyst was computed.  net10.0-macos was computed.  net10.0-tvos was computed.  net10.0-windows was computed. 
Compatible target framework(s)
Included target framework(s) (in package)
Learn more about Target Frameworks and .NET Standard.

NuGet packages

This package is not used by any NuGet packages.

GitHub repositories (1)

Showing the top 1 popular GitHub repositories that depend on AgentEval:

Repository Stars
AgentEvalHQ/AgentEval
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
Version Downloads Last Updated
0.10.1-beta 83 5/18/2026
0.10.0-beta 76 5/17/2026
0.9.0-beta 50 5/17/2026
0.8.1-beta 523 4/29/2026
0.8.0-beta 63 4/28/2026
0.6.0-beta 1,109 3/5/2026
0.5.4-beta 101 3/3/2026
0.5.3-beta 126 3/1/2026
0.5.2-beta 96 2/28/2026
0.5.1-beta 87 2/28/2026
0.4.0-beta 103 2/22/2026
0.3.0-beta 143 1/25/2026
0.2.1-beta 83 1/24/2026
0.2.0-beta 80 1/18/2026
0.1.1-alpha 92 1/3/2026
0.1.0-alpha 84 1/3/2026

v0.9.0-beta: BREAKING — legacy library-API `AgenticBenchmark` (with `RunToolAccuracyBenchmarkAsync` / `RunTaskCompletionBenchmarkAsync` / `RunMultiStepReasoningBenchmarkAsync` plus `ToolAccuracyTestCase` / `TaskCompletionTestCase` / `MultiStepTestCase` and their result types) REMOVED. Replaced by the preset-factory `AgentEval.Evals.Agentic.AgenticBenchmark` covering ~60 evaluators across 11 presets (agentic-execution, tool-call-accuracy, rag-quality, safety, judge-quality, telemetry, stochastic-stability, conversational, reasoning, user-experience, adversarial-direct). The preset-factory class also moved from `AgentEval.Evals.Agentic.Composition` to `AgentEval.Evals.Agentic` (project root). See CHANGELOG.md for the full migration table. PerformanceBenchmark (latency/throughput/cost) is unchanged. Pre-merge polish from v0.8.x (M1-M8 + Option C + LR7) is included: AtomicLlmEval populates EstimatedCost from real judge token usage via JudgeCostMap (closes F-002), Recommendation[] gains a structured {controlId, severity, text, metadata?} shape with anyOf-backed legacy-string[] compat, EvaluatorCard category vocabulary reconciled with runtime (37 cards), umbrella NuGet ships AgentEval.Evals.Agentic, EU AI Act Pillar 1 thresholds corrected, HR Art 22 severity aligned to base article, --root path canonicalisation across Migrate/Doctor/McServe, Permissions-Policy header on Mission Control, schema strictness on top-level evidence wrappers + EvaluatorCard category enum. P1 breaking CLI changes from v0.8.x retained: --subject required on all bench commands; --input required on bench eu-ai-act.