Add SPE Agent with Retrieval from existing source

AI/agent-with-retrieval-sample-app/.gitignore

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+# Build results
+[Dd]ebug/
+[Dd]ebugPublic/
+[Rr]elease/
+[Rr]eleases/
+x64/
+x86/
+[Ww][Ii][Nn]32/
+[Aa][Rr][Mm]/
+[Aa][Rr][Mm]64/
+bld/
+[Bb]in/
+[Oo]bj/
+[Ll]og/
+[Ll]ogs/
+
+# Visual Studio cache files
+*.suo
+*.user
+*.userosscache
+*.sln.docstates
+
+# User-specific files
+.vscode/
+*.swp
+*.swo
+*~
+
+# OS generated files
+.DS_Store
+.DS_Store?
+._*
+.Spotlight-V100
+.Trashes
+ehthumbs.db
+Thumbs.db
+
+# Sensitive configuration files
+appsettings.json
+appsettings.*.json
+!appsettings.example.json
+
+# Environment files
+.env
+.env.local
+.env.*.local
+
+# Azure Functions
+local.settings.json
+
+# Logs
+logs
+*.log
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+
+# Dependency directories
+node_modules/
+
+# NuGet packages
+*.nupkg
+packages/
+!packages/repositories.config
+!packages/*/
+
+# MSTest test Results
+[Tt]est[Rr]esult*/
+[Bb]uild[Ll]og.*
+
+# NUNIT
+*.VisualState.xml
+TestResult.xml
+
+# Azure credentials cache
+.azure/

AI/agent-with-retrieval-sample-app/Program.cs

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+using Microsoft.Extensions.Configuration;
+using Microsoft.Extensions.DependencyInjection;
+using Microsoft.Extensions.Hosting;
+using Microsoft.Extensions.Logging;
+using SPEAgentWithRetrieval.Core.Models;
+using SPEAgentWithRetrieval.Core.Services;
+
+namespace SPEAgentWithRetrieval;
+
+class Program
+{
+    static async Task Main(string[] args)
+    {
+        // Build configuration
+        var configuration = new ConfigurationBuilder()
+            .SetBasePath(Directory.GetCurrentDirectory())
+            .AddJsonFile("appsettings.json", optional: false, reloadOnChange: true)
+            .AddEnvironmentVariables()
+            .Build();
+
+        // Build host with dependency injection
+        var host = Host.CreateDefaultBuilder(args)
+            .ConfigureServices((context, services) =>
+            {
+                // Configure options
+                services.Configure<AzureAIFoundryOptions>(configuration.GetSection("AzureAIFoundry"));
+                services.Configure<Microsoft365Options>(configuration.GetSection("Microsoft365"));
+                services.Configure<ChatSettingsOptions>(configuration.GetSection("ChatSettings"));
+
+                // Register services. Singleton lifetime is appropriate for this single-user
+                // console app (services are resolved from the root provider for the app's lifetime).
+                services.AddSingleton<ITokenProvider, TokenProvider>();
+                services.AddSingleton<IRetrievalService, CopilotRetrievalService>();
+                services.AddSingleton<IFoundryService, FoundryService>();
+                services.AddSingleton<IChatService, ChatService>();
+
+                // Add logging
+                services.AddLogging(builder =>
+                {
+                    builder.AddConsole();
+                    builder.SetMinimumLevel(LogLevel.Information);
+                });
+            })
+            .Build();
+
+        // Get the chat service and logger
+        var chatService = host.Services.GetRequiredService<IChatService>();
+        var logger = host.Services.GetRequiredService<ILogger<Program>>();
+
+        logger.LogInformation("Azure AI Chat Agent with SharePoint Embedded RAG started");
+
+        System.Console.WriteLine("=== Azure AI Chat Agent with SharePoint Embedded RAG ===");
+        System.Console.WriteLine("Ask questions about your Microsoft 365 content!");
+        System.Console.WriteLine("Type 'exit' or 'quit' to end the conversation.");
+        System.Console.WriteLine("Type 'clear' to clear the console.");
+        System.Console.WriteLine();
+
+        // Main chat loop
+        while (true)
+        {
+            System.Console.Write("You: ");
+            var userInput = System.Console.ReadLine();
+
+            if (string.IsNullOrWhiteSpace(userInput))
+                continue;
+
+            // Handle special commands
+            if (userInput.Equals("exit", StringComparison.OrdinalIgnoreCase) || 
+                userInput.Equals("quit", StringComparison.OrdinalIgnoreCase))
+            {
+                System.Console.WriteLine("Goodbye!");
+                break;
+            }
+
+            if (userInput.Equals("clear", StringComparison.OrdinalIgnoreCase))
+            {
+                System.Console.Clear();
+                System.Console.WriteLine("=== Azure AI Chat Agent with SharePoint Embedded RAG ===");
+                continue;
+            }
+
+            try
+            {
+                // Process the chat request
+                var chatRequest = new ChatRequest { Message = userInput };
+                var response = await chatService.ProcessChatAsync(chatRequest);
+
+                System.Console.WriteLine($"Assistant: {response.Response}");
+
+                // Show sources if available
+                if (response.Sources.Any())
+                {
+                    System.Console.WriteLine();
+                    System.Console.WriteLine("Sources:");
+                    foreach (var source in response.Sources.Take(3)) // Show top 3 sources
+                    {
+                        System.Console.WriteLine($"  • {source.Title}");
+                        if (!string.IsNullOrEmpty(source.Url))
+                        {
+                            System.Console.WriteLine($"    {source.Url}");
+                        }
+                    }
+                }
+
+                System.Console.WriteLine();
+            }
+            catch (Exception ex)
+            {
+                logger.LogError(ex, "Error in chat loop");
+                System.Console.WriteLine("Sorry, I encountered an error. Please try again.");
+                System.Console.WriteLine();
+            }
+        }
+
+        await host.StopAsync();
+    }
+}