db620d33df
CodeQL / Analyze (csharp) (push) Waiting to run
CodeQL / Analyze (python) (push) Waiting to run
dotnet-build-and-test / dotnet-test-functions (push) Has been cancelled
dotnet-build-and-test / paths-filter (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Debug, windows-latest, net9.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Release, ubuntu-latest, net10.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Release, ubuntu-latest, net8.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-build (Release, windows-latest, net472) (push) Has been cancelled
dotnet-build-and-test / dotnet-test (Release, integration, true, ubuntu-latest, net10.0) (push) Has been cancelled
dotnet-build-and-test / dotnet-test (Release, integration, true, windows-latest, net472) (push) Has been cancelled
dotnet-build-and-test / dotnet-foundry-hosted-it (push) Has been cancelled
dotnet-build-and-test / dotnet-build-and-test-check (push) Has been cancelled
dotnet-build-and-test / Integration Test Report (push) Has been cancelled
Evaluation - Multimodal
This sample demonstrates that the evaluation pipeline preserves multimodal content. When conversations include images, EvalChecks.HasImageContent can verify they survived into the EvalItem.
What this sample demonstrates
- Building
EvalItemobjects withUriContentimage content - Using built-in
EvalChecks.HasImageContentto detect images in conversations - Comparing image vs. text-only conversations to show when the check passes/fails
- Evaluating directly with
LocalEvaluator.EvaluateAsync()(no agent needed)
Prerequisites
- .NET 10 SDK or later
No Azure credentials or environment variables are required for this sample since it evaluates locally without calling an agent.
Run the sample
cd dotnet/samples/02-agents/Evaluation
dotnet run --project .\Evaluation_Multimodal
See also
- Evaluation_SimpleEval — Simplest evaluation with built-in checks and
agent.EvaluateAsync() - Evaluation_FoundryQuality — Cloud-based quality evaluation with Foundry evaluators
- Evaluation_FoundryRubric — Rubric (adaptive) evaluators with per-dimension scores
- Evaluation_ConversationSplits — Multi-turn conversation split strategies