AgentEval 0.2.0-beta
This is a prerelease version of AgentEval.
There is a newer prerelease version of this package available.
See the version list below for details.
See the version list below for details.
dotnet add package AgentEval --version 0.2.0-beta
NuGet\Install-Package AgentEval -Version 0.2.0-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="0.2.0-beta" />
For projects that support PackageReference, copy this XML node into the project file to reference the package.
<PackageVersion Include="AgentEval" Version="0.2.0-beta" />
<PackageReference Include="AgentEval" />
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 0.2.0-beta
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
#r "nuget: AgentEval, 0.2.0-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@0.2.0-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=0.2.0-beta&prerelease
#tool nuget:?package=AgentEval&version=0.2.0-beta&prerelease
The NuGet Team does not provide support for this client. Please contact its maintainers for support.
AgentEval
The first .NET-native AI agent testing, evaluation, and benchmarking framework
Features
- 🎯 Tool Tracking - Monitor tool/function calls with timing and arguments
- 📊 Performance Metrics - TTFT, latency, tokens, cost estimation
- ✅ Fluent Assertions - Expressive test assertions with rich failure messages, "because" reasons, and assertion scopes
- 🔬 RAG Metrics - Faithfulness, relevance, context precision
- 📈 Benchmarking - Performance and agentic benchmarks
- 🔌 Extensible - Adapter pattern for multiple agent frameworks
- 📋 Trace-First Failure Reporting - Structured failure reports with tool timelines
- 🔧 Testing Infrastructure - FakeChatClient for mocking LLM responses
Quick Start
using AgentEval;
using AgentEval.MAF;
using AgentEval.Assertions;
// Create test harness
var harness = new MAFTestHarness(evaluatorClient);
// Run test with tool tracking
var result = await harness.RunTestAsync(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);
// Use assertion scopes to collect all failures
using (new AgentEvalScope())
{
result.ToolUsage!.Should().HaveCalledTool("Tool1");
result.ToolUsage!.Should().HaveCalledTool("Tool2");
result.ActualOutput!.Should().Contain("success");
}
// Throws single exception with ALL failures listed
Rich Failure Messages
When assertions fail, you get structured, actionable output:
Expected tool 'SearchTool' to be called, but it was not because user query requires search.
Expected: Tool 'SearchTool' called at least once
Actual: Tools called: [CalculateTool, FormatTool]
Tools called:
• CalculateTool
• FormatTool
Suggestions:
→ Verify the agent has access to the expected tools
→ Check if the prompt clearly requests tool usage
Test Coverage
- 2100+ unit tests covering all core functionality
- Tests for all assertions, metrics, models, and adapters
- All tests passing ✅
Installation
dotnet add package AgentEval
Documentation
- Getting Started Guide - Quick introduction
- Fluent Assertions Guide - Complete assertion reference
- Architecture Guide - Component overview
- AgentEval Design Document - Full technical documentation
License
MIT License - See LICENSE file for details.
| Product | Versions 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.
-
net10.0
- Azure.AI.OpenAI (>= 2.5.0-beta.1)
- Microsoft.Agents.AI (>= 1.0.0-preview.251110.2)
- Microsoft.Extensions.AI (>= 10.0.0)
- Microsoft.Extensions.AI.Evaluation.Quality (>= 9.5.0)
- System.Numerics.Tensors (>= 10.0.0)
- YamlDotNet (>= 16.3.0)
-
net8.0
- Azure.AI.OpenAI (>= 2.5.0-beta.1)
- Microsoft.Agents.AI (>= 1.0.0-preview.251110.2)
- Microsoft.Extensions.AI (>= 10.0.0)
- Microsoft.Extensions.AI.Evaluation.Quality (>= 9.5.0)
- System.Numerics.Tensors (>= 10.0.0)
- YamlDotNet (>= 16.3.0)
-
net9.0
- Azure.AI.OpenAI (>= 2.5.0-beta.1)
- Microsoft.Agents.AI (>= 1.0.0-preview.251110.2)
- Microsoft.Extensions.AI (>= 10.0.0)
- Microsoft.Extensions.AI.Evaluation.Quality (>= 9.5.0)
- System.Numerics.Tensors (>= 10.0.0)
- YamlDotNet (>= 16.3.0)
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 | 159 | 5/18/2026 |
| 0.10.0-beta | 82 | 5/17/2026 |
| 0.9.0-beta | 53 | 5/17/2026 |
| 0.8.1-beta | 561 | 4/29/2026 |
| 0.8.0-beta | 65 | 4/28/2026 |
| 0.6.0-beta | 1,173 | 3/5/2026 |
| 0.5.4-beta | 104 | 3/3/2026 |
| 0.5.3-beta | 128 | 3/1/2026 |
| 0.5.2-beta | 98 | 2/28/2026 |
| 0.5.1-beta | 90 | 2/28/2026 |
| 0.4.0-beta | 111 | 2/22/2026 |
| 0.3.0-beta | 146 | 1/25/2026 |
| 0.2.1-beta | 87 | 1/24/2026 |
| 0.2.0-beta | 83 | 1/18/2026 |
| 0.1.1-alpha | 94 | 1/3/2026 |
| 0.1.0-alpha | 87 | 1/3/2026 |