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Evaluation - Expected Outputs
This sample demonstrates evaluating agent responses against expected outputs using built-in checks.
What this sample demonstrates
- Using
EvalChecks.ContainsExpectedfor ground-truth comparison - Using
EvalChecks.NonEmptyfor basic response validation - Passing
expectedOutputtoagent.EvaluateAsync()so checks can access ground truth
Prerequisites
- .NET 10 SDK or later
- Azure CLI installed and authenticated (
az login)
Set the following environment variables:
$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
$env:FOUNDRY_MODEL="gpt-4o-mini"
Run the sample
cd dotnet/samples/02-agents/Evaluation
dotnet run --project .\Evaluation_ExpectedOutputs
See also
- Evaluation_SimpleEval — Simplest evaluation with built-in and custom checks
- Evaluation_FoundryQuality — Cloud-based quality evaluation with Foundry evaluators
- Evaluation_FoundryRubric — Rubric (adaptive) evaluators with per-dimension scores