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Multi-turn Conversation

This sample demonstrates how to implement multi-turn conversations where context is preserved across multiple agent runs using sessions and response ID chaining.

What this sample demonstrates

  • Creating an agent with instructions
  • Using sessions to maintain conversation context across multiple runs
  • Response ID chaining for multi-turn conversations
  • No server-side conversation creation required

Prerequisites

Before you begin, ensure you have the following prerequisites:

  • .NET 10 SDK or later
  • Microsoft Foundry service endpoint and deployment configured
  • An authenticated Azure identity (for example, sign in with az login)

Note: This sample uses DefaultAzureCredential. az login is the easiest local development path, but Visual Studio, VS Code, and managed identity credentials also work when available.

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-5.4-mini"

Run the sample

Navigate to the Foundry sample directory and run:

cd dotnet/samples/02-agents/AgentProviders/foundry
dotnet run --project .\Agent_Step02.1_MultiturnConversation