test

dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step11_AsFunctionTool/FoundryAgents_Step11_AsFunctionTool.csproj

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+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <UserSecretsId>3afc9b74-af74-4d8e-ae96-fa1c511d11ac</UserSecretsId>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.Projects" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
+  </ItemGroup>
+  
+</Project>

dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step11_AsFunctionTool/Program.cs

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+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample shows how to create and use an Azure Foundry Agents AI agent as a function tool.
+
+using System.ComponentModel;
+using Azure.AI.Projects;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
+
+string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
+string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+
+const string WeatherInstructions = "You answer questions about the weather.";
+const string WeatherName = "WeatherAgent";
+const string MainInstructions = "You are a helpful assistant who responds in French.";
+const string MainName = "MainAgent";
+
+[Description("Get the weather for a given location.")]
+static string GetWeather([Description("The location to get the weather for.")] string location)
+    => $"The weather in {location} is cloudy with a high of 15°C.";
+
+// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
+AIProjectClient aiProjectClient = new(new Uri(endpoint), new AzureCliCredential());
+
+// Create the weather agent with function tools.
+AITool weatherTool = AIFunctionFactory.Create(GetWeather);
+AIAgent weatherAgent = await aiProjectClient.CreateAIAgentAsync(
+    name: WeatherName,
+    model: deploymentName,
+    instructions: WeatherInstructions,
+    tools: [weatherTool]);
+
+// Create the main agent, and provide the weather agent as a function tool.
+AIAgent agent = await aiProjectClient.CreateAIAgentAsync(
+    name: MainName,
+    model: deploymentName,
+    instructions: MainInstructions,
+    tools: [weatherAgent.AsAIFunction()]);
+
+// Invoke the agent and output the text result.
+AgentThread thread = await agent.GetNewThreadAsync();
+Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?", thread));
+
+// Cleanup by agent name removes the agent versions created.
+await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
+await aiProjectClient.Agents.DeleteAgentAsync(weatherAgent.Name);

dotnet/samples/GettingStarted/FoundryAgents/FoundryAgents_Step11_AsFunctionTool/README.md

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+# Using AI Agents as Function Tools (Nested Agents)
+
+This sample demonstrates how to expose an AI agent as a function tool, enabling nested agent scenarios where one agent can invoke another agent as a tool.
+
+## What this sample demonstrates
+
+- Creating an AI agent that can be used as a function tool
+- Wrapping an agent as an AIFunction
+- Using nested agents where one agent calls another
+- Managing multiple agent instances
+- Managing agent lifecycle (creation and deletion)
+
+## Prerequisites
+
+Before you begin, ensure you have the following prerequisites:
+
+- .NET 10 SDK or later
+- Azure 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 Azure Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
+
+Set the following environment variables:
+
+```powershell
+$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
+$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+```
+
+## Run the sample
+
+Navigate to the FoundryAgents sample directory and run:
+
+```powershell
+cd dotnet/samples/GettingStarted/FoundryAgents
+dotnet run --project .\FoundryAgents_Step11_AsFunctionTool
+```
+
+## Expected behavior
+
+The sample will:
+
+1. Create a "JokerAgent" that tells jokes
+2. Wrap the JokerAgent as a function tool
+3. Create a "CoordinatorAgent" that has the JokerAgent as a function tool
+4. Run the CoordinatorAgent with a prompt that triggers it to call the JokerAgent
+5. The CoordinatorAgent will invoke the JokerAgent as a function tool
+6. Clean up resources by deleting both agents
+