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Evaluation - Conversation Splits
This sample demonstrates multi-turn conversation evaluation with different split strategies.
What this sample demonstrates
- LastTurn (default): Evaluates whether the last response was good given all prior context
- Full: Evaluates whether the entire conversation trajectory served the original request
- PerTurnItems: Splits a conversation into one
EvalItemper user turn for independent evaluation - Building multi-turn conversations with
FunctionCallContentandFunctionResultContent - Using
ConversationSplitters.LastTurnandConversationSplitters.Full - Using
EvalItem.PerTurnItems()to decompose a conversation
Prerequisites
- .NET 10 SDK or later
- Azure authentication available to
DefaultAzureCredential(for local development, runaz 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/05-end-to-end/Evaluation
dotnet run --project .\Evaluation_ConversationSplits