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73 lines
2.8 KiB
C#
73 lines
2.8 KiB
C#
// Copyright (c) Microsoft. All rights reserved.
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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.Agents.AI;
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using Microsoft.Agents.AI.Hosting.AGUI.AspNetCore;
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using Microsoft.AspNetCore.Http.Json;
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using Microsoft.AspNetCore.HttpLogging;
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using Microsoft.Extensions.AI;
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using Microsoft.Extensions.Options;
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using OpenAI.Chat;
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using ServerFunctionApproval;
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WebApplicationBuilder builder = WebApplication.CreateBuilder(args);
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builder.Services.AddHttpLogging(logging =>
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{
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logging.LoggingFields = HttpLoggingFields.RequestPropertiesAndHeaders | HttpLoggingFields.RequestBody
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| HttpLoggingFields.ResponsePropertiesAndHeaders | HttpLoggingFields.ResponseBody;
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logging.RequestBodyLogLimit = int.MaxValue;
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logging.ResponseBodyLogLimit = int.MaxValue;
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});
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builder.Services.AddHttpClient().AddLogging();
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builder.Services.ConfigureHttpJsonOptions(options =>
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options.SerializerOptions.TypeInfoResolverChain.Add(ApprovalJsonContext.Default));
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builder.Services.AddAGUI();
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WebApplication app = builder.Build();
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app.UseHttpLogging();
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string endpoint = builder.Configuration["AZURE_OPENAI_ENDPOINT"]
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?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
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string deploymentName = builder.Configuration["AZURE_OPENAI_DEPLOYMENT_NAME"]
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?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set.");
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// Define approval-required tool
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[Description("Approve the expense report.")]
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static string ApproveExpenseReport(string expenseReportId)
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{
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return $"Expense report {expenseReportId} approved";
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}
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// Get JsonSerializerOptions
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var jsonOptions = app.Services.GetRequiredService<IOptions<JsonOptions>>().Value;
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// Create approval-required tool
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#pragma warning disable MEAI001 // Type is for evaluation purposes only
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AITool[] tools = [new ApprovalRequiredAIFunction(AIFunctionFactory.Create(ApproveExpenseReport))];
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#pragma warning restore MEAI001
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// Create base agent
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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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ChatClient openAIChatClient = new AzureOpenAIClient(
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new Uri(endpoint),
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new DefaultAzureCredential())
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.GetChatClient(deploymentName);
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ChatClientAgent baseAgent = openAIChatClient.AsIChatClient().AsAIAgent(
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name: "AGUIAssistant",
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instructions: "You are a helpful assistant in charge of approving expenses",
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tools: tools);
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// Wrap with ServerFunctionApprovalAgent
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var agent = new ServerFunctionApprovalAgent(baseAgent, jsonOptions.SerializerOptions);
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app.MapAGUI("/", agent);
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await app.RunAsync();
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