agent-framework/dotnet/samples/02-agents/AgentsWithFoundry/Agent_Step02.1_MultiturnConversation

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
• Azure CLI installed and authenticated (for Azure credential authentication)

Note: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with az login and have access to the Microsoft Foundry resource. For more information, see the Azure CLI documentation.

Set the following environment variables:

$env:AZURE_AI_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"

Run the sample

Navigate to the AgentsWithFoundry sample directory and run:

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