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.NET: [BREAKING] Change implementation to use AsFunctionTool extension method to create a function from an agent (#686)
* Change implementation to use AsFunctionTool extension method to create a function from an agent * Update dotnet/tests/Microsoft.Extensions.AI.Agents.UnitTests/AgentExtensionsTests.cs Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Address code review feedback and add a new sample * Address some code review feedback --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
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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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<TargetFramework>net9.0</TargetFramework>
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<LangVersion>12</LangVersion>
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<Nullable>enable</Nullable>
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<ImplicitUsings>disable</ImplicitUsings>
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<UserSecretsId>3afc9b74-af74-4d8e-ae96-fa1c511d11ac</UserSecretsId>
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</PropertyGroup>
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<ItemGroup>
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<PackageReference Include="Azure.AI.OpenAI" />
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<PackageReference Include="Azure.Identity" />
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<PackageReference Include="Microsoft.Extensions.Hosting" />
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</ItemGroup>
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<ItemGroup>
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<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents.OpenAI\Microsoft.Extensions.AI.Agents.OpenAI.csproj" />
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<ProjectReference Include="..\..\..\..\src\Microsoft.Extensions.AI.Agents\Microsoft.Extensions.AI.Agents.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 shows how to create and use a Azure OpenAI AI agent as a function tool.
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using System;
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using System.ComponentModel;
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using Azure.AI.OpenAI;
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using Azure.Identity;
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using Microsoft.Extensions.AI;
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using Microsoft.Extensions.AI.Agents;
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using OpenAI;
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var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
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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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// Create the chat client and agent, and provide the function tool to the agent.
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AIAgent weatherAgent = new AzureOpenAIClient(
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new Uri(endpoint),
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new AzureCliCredential())
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.GetChatClient(deploymentName)
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.CreateAIAgent(
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instructions: "You answer questions about the weather.",
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name: "WeatherAgent",
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description: "An agent that answers questions about the weather.",
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tools: [AIFunctionFactory.Create(GetWeather)]);
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// Create the main agent, and provide the weather agent as a function tool.
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AIAgent agent = new AzureOpenAIClient(
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new Uri(endpoint),
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new AzureCliCredential())
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.GetChatClient(deploymentName)
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.CreateAIAgent(instructions: "You are a helpful assistant who responds in French.", tools: [weatherAgent.AsAIFunction()]);
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// Invoke the agent and output the text result.
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Console.WriteLine(await agent.RunAsync("What is the weather like in Amsterdam?"));
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@@ -37,6 +37,7 @@ Before you begin, ensure you have the following prerequisites:
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|[Dependency injection with a simple agent](./Agent_Step09_DependencyInjection/)|This sample demonstrates how to add and resolve an agent with a dependency injection container|
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|[Exposing a simple agent as MCP tool](./Agent_Step10_AsMcpTool/)|This sample demonstrates how to expose an agent as an MCP tool|
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|[Using images with a simple agent](./Agent_Step11_UsingImages/)|This sample demonstrates how to use image multi-modality with an AI agent|
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|[Exposing a simple agent a function tool](./Agent_Step12_AsFunctionTool/)|This sample demonstrates how to expose an agent as a function tool|
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## Running the samples from the console
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