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# Evaluation - Expected Outputs
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This sample demonstrates evaluating agent responses against expected outputs using built-in checks.
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## What this sample demonstrates
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- Using `EvalChecks.ContainsExpected` for ground-truth comparison
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- Using `EvalChecks.NonEmpty` for basic response validation
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- Passing `expectedOutput` to `agent.EvaluateAsync()` so checks can access ground truth
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## Prerequisites
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- .NET 10 SDK or later
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- Azure CLI installed and authenticated (`az login`)
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Set the following environment variables:
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```powershell
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$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
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$env:FOUNDRY_MODEL="gpt-4o-mini"
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```
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## Run the sample
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```powershell
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cd dotnet/samples/02-agents/Evaluation
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dotnet run --project .\Evaluation_ExpectedOutputs
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```
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## See also
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- [Evaluation_SimpleEval](../Evaluation_SimpleEval/) — Simplest evaluation with built-in and custom checks
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- [Evaluation_FoundryQuality](../../../05-end-to-end/Evaluation/Evaluation_FoundryQuality/) — Cloud-based quality evaluation with Foundry evaluators
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- [Evaluation_FoundryRubric](../../../05-end-to-end/Evaluation/Evaluation_FoundryRubric/) — Rubric (adaptive) evaluators with per-dimension scores
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