chore: import upstream snapshot with attribution
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This commit is contained in:
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// Copyright (c) Microsoft. All rights reserved.
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// Seattle Hotel Agent - A hosted agent with local C# function tools.
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// Demonstrates how to define and wire local tools that the LLM can invoke,
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// a key advantage of code-based hosted agents over prompt agents.
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using System.ComponentModel;
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using System.Globalization;
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using System.Text;
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using Azure.AI.Projects;
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using Azure.Core;
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using Azure.Identity;
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using DotNetEnv;
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using Hosted_Shared_Contributor_Setup;
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using Microsoft.Agents.AI;
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using Microsoft.Agents.AI.Foundry.Hosting;
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using Microsoft.Extensions.AI;
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// Load .env file if present (for local development)
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Env.TraversePath().Load();
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string endpoint = Environment.GetEnvironmentVariable("FOUNDRY_PROJECT_ENDPOINT")
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?? throw new InvalidOperationException("FOUNDRY_PROJECT_ENDPOINT is not set.");
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string deploymentName = Environment.GetEnvironmentVariable("FOUNDRY_MODEL") ?? "gpt-4o";
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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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// Use a chained credential: try a temporary dev token first (for local Docker debugging),
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// then fall back to DefaultAzureCredential (for local dev via dotnet run / managed identity in production).
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TokenCredential credential = new ChainedTokenCredential(
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new DevTemporaryTokenCredential(),
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new DefaultAzureCredential());
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// ── Hotel data ───────────────────────────────────────────────────────────────
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Hotel[] seattleHotels =
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[
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new("Contoso Suites", 189, 4.5, "Downtown"),
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new("Fabrikam Residences", 159, 4.2, "Pike Place Market"),
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new("Alpine Ski House", 249, 4.7, "Seattle Center"),
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new("Margie's Travel Lodge", 219, 4.4, "Waterfront"),
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new("Northwind Inn", 139, 4.0, "Capitol Hill"),
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new("Relecloud Hotel", 99, 3.8, "University District"),
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];
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// ── Tool: GetAvailableHotels ─────────────────────────────────────────────────
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[Description("Get available hotels in Seattle for the specified dates.")]
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string GetAvailableHotels(
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[Description("Check-in date in YYYY-MM-DD format")] string checkInDate,
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[Description("Check-out date in YYYY-MM-DD format")] string checkOutDate,
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[Description("Maximum price per night in USD (optional, defaults to 500)")] int maxPrice = 500)
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{
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if (!DateTime.TryParseExact(checkInDate, "yyyy-MM-dd", CultureInfo.InvariantCulture, DateTimeStyles.None, out var checkIn))
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{
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return "Error parsing check-in date. Please use YYYY-MM-DD format.";
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}
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if (!DateTime.TryParseExact(checkOutDate, "yyyy-MM-dd", CultureInfo.InvariantCulture, DateTimeStyles.None, out var checkOut))
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{
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return "Error parsing check-out date. Please use YYYY-MM-DD format.";
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}
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if (checkOut <= checkIn)
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{
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return "Error: Check-out date must be after check-in date.";
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}
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int nights = (checkOut - checkIn).Days;
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List<Hotel> availableHotels = seattleHotels.Where(h => h.PricePerNight <= maxPrice).ToList();
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if (availableHotels.Count == 0)
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{
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return $"No hotels found in Seattle within your budget of ${maxPrice}/night.";
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}
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StringBuilder result = new();
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result.AppendLine($"Available hotels in Seattle from {checkInDate} to {checkOutDate} ({nights} nights):");
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result.AppendLine();
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foreach (Hotel hotel in availableHotels)
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{
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int totalCost = hotel.PricePerNight * nights;
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result.AppendLine($"**{hotel.Name}**");
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result.AppendLine($" Location: {hotel.Location}");
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result.AppendLine($" Rating: {hotel.Rating}/5");
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result.AppendLine($" ${hotel.PricePerNight}/night (Total: ${totalCost})");
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result.AppendLine();
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}
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return result.ToString();
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}
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// ── Create and host the agent ────────────────────────────────────────────────
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AIAgent agent = new AIProjectClient(new Uri(endpoint), credential)
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.AsAIAgent(
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model: deploymentName,
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instructions: """
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You are a helpful travel assistant specializing in finding hotels in Seattle, Washington.
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When a user asks about hotels in Seattle:
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1. Ask for their check-in and check-out dates if not provided
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2. Ask about their budget preferences if not mentioned
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3. Use the GetAvailableHotels tool to find available options
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4. Present the results in a friendly, informative way
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5. Offer to help with additional questions about the hotels or Seattle
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Be conversational and helpful. If users ask about things outside of Seattle hotels,
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politely let them know you specialize in Seattle hotel recommendations.
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""",
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name: Environment.GetEnvironmentVariable("AGENT_NAME") ?? "hosted-local-tools",
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description: "Seattle hotel search agent with local function tools",
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tools: [AIFunctionFactory.Create(GetAvailableHotels)]);
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var builder = WebApplication.CreateBuilder(args);
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builder.Services.AddFoundryResponses(agent);
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var app = builder.Build();
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app.MapFoundryResponses();
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// Contributor-only: in Development, also map the per-agent OpenAI route shape that live Foundry uses
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// so a local REPL client can target this server via AIProjectClient.AsAIAgent(Uri agentEndpoint).
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// Do not use this in production. Hosted Foundry agents only support the agent-endpoint path.
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app.MapDevTemporaryLocalAgentEndpoint();
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app.Run();
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// ── Types ────────────────────────────────────────────────────────────────────
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internal sealed record Hotel(string Name, int PricePerNight, double Rating, string Location);
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