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<Project Sdk="Microsoft.NET.Sdk">
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<PropertyGroup>
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<OutputType>Exe</OutputType>
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<TargetFrameworks>net10.0</TargetFrameworks>
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<Nullable>enable</Nullable>
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<ImplicitUsings>enable</ImplicitUsings>
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</PropertyGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\..\src\Microsoft.Agents.AI.Foundry\Microsoft.Agents.AI.Foundry.csproj" />
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</ItemGroup>
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</Project>
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// Copyright (c) Microsoft. All rights reserved.
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// This sample demonstrates how to use function tools.
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using System.ComponentModel;
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using Azure.AI.Projects;
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using Azure.Identity;
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using Microsoft.Agents.AI;
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using Microsoft.Extensions.AI;
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[Description("Get the weather for a given location.")]
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static string GetWeather([Description("The location to get the weather for.")] string location)
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=> $"The weather in {location} is cloudy with a high of 15°C.";
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// Define the function tool.
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AITool tool = AIFunctionFactory.Create(GetWeather);
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string endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-5.4-mini";
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// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
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// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
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// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
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AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
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// Create a AIAgent with function tools.
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AIAgent agent = aiProjectClient.AsAIAgent(deploymentName,
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instructions: "You are a helpful assistant that can get weather information.",
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name: "WeatherAssistant",
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tools: [tool]);
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// Non-streaming agent interaction with function tools.
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AgentSession session = await agent.CreateSessionAsync();
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Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?", session));
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// Streaming agent interaction with function tools.
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session = await agent.CreateSessionAsync();
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await foreach (AgentResponseUpdate update in agent.RunStreamingAsync("What is the weather like in Amsterdam?", session))
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{
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Console.Write(update);
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}
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# Using Function Tools with the Responses API
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This sample demonstrates how to use function tools with the `ChatClientAgent`, allowing the agent to call custom functions to retrieve information.
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## What this sample demonstrates
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- Creating function tools using `AIFunctionFactory`
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- Passing function tools to a `ChatClientAgent`
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- Running agents with function tools (text output)
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- Running agents with function tools (streaming output)
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- No server-side agent creation or cleanup required
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## Prerequisites
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Before you begin, ensure you have the following prerequisites:
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- .NET 10 SDK or later
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- Microsoft Foundry service endpoint and deployment configured
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- An authenticated Azure identity (for example, sign in with `az login`)
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**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.
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Set the following environment variables:
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```powershell
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$env:FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project"
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$env:FOUNDRY_MODEL="gpt-5.4-mini"
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```
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## Run the sample
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Navigate to the Foundry sample directory and run:
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```powershell
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cd dotnet/samples/02-agents/AgentProviders/foundry
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dotnet run --project .\Agent_Step03_UsingFunctionTools
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```
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