Program.cs

// Copyright (c) Microsoft. All rights reserved.

// This sample demonstrates how to implement reliable streaming for durable agents using Redis Streams.
// It exposes two HTTP endpoints:
// 1. Create - Starts an agent run and streams responses back via Server-Sent Events (SSE)
// 2. Stream - Resumes a stream from a specific cursor position, enabling reliable message delivery
//
// This pattern is inspired by OpenAI's background mode for the Responses API, which allows clients
// to disconnect and reconnect to ongoing agent responses without losing messages.

#pragma warning disable IDE0002 // Simplify Member Access

using Azure;
using Azure.AI.OpenAI;
using Azure.Identity;
using Microsoft.Agents.AI.DurableTask;
using Microsoft.Agents.AI.Hosting.AzureFunctions;
using Microsoft.Azure.Functions.Worker.Builder;
using Microsoft.Extensions.AI;
using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using OpenAI.Chat;
using ReliableStreaming;
using StackExchange.Redis;

// Get the Azure OpenAI endpoint and deployment name from environment variables.
string endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME")
    ?? throw new InvalidOperationException("AZURE_OPENAI_DEPLOYMENT_NAME is not set.");

// Get Redis connection string from environment variable.
string redisConnectionString = Environment.GetEnvironmentVariable("REDIS_CONNECTION_STRING")
    ?? "localhost:6379";

// Get the Redis stream TTL from environment variable (default: 10 minutes).
int redisStreamTtlMinutes = int.TryParse(
    Environment.GetEnvironmentVariable("REDIS_STREAM_TTL_MINUTES"),
    out int ttlMinutes) ? ttlMinutes : 10;

// Use Azure Key Credential if provided, otherwise use Azure CLI Credential.
string? azureOpenAiKey = System.Environment.GetEnvironmentVariable("AZURE_OPENAI_API_KEY");
// WARNING: DefaultAzureCredential is convenient for development but requires careful consideration in production.
// In production, consider using a specific credential (e.g., ManagedIdentityCredential) to avoid
// latency issues, unintended credential probing, and potential security risks from fallback mechanisms.
AzureOpenAIClient client = !string.IsNullOrEmpty(azureOpenAiKey)
    ? new AzureOpenAIClient(new Uri(endpoint), new AzureKeyCredential(azureOpenAiKey))
    : new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential());

// Travel Planner agent instructions - designed to produce longer responses for demonstrating streaming.
const string TravelPlannerName = "TravelPlanner";
const string TravelPlannerInstructions =
    """
    You are an expert travel planner who creates detailed, personalized travel itineraries.
    When asked to plan a trip, you should:
    1. Create a comprehensive day-by-day itinerary
    2. Include specific recommendations for activities, restaurants, and attractions
    3. Provide practical tips for each destination
    4. Consider weather and local events when making recommendations
    5. Include estimated times and logistics between activities
    
    Always use the available tools to get current weather forecasts and local events
    for the destination to make your recommendations more relevant and timely.
    
    Format your response with clear headings for each day and include emoji icons
    to make the itinerary easy to scan and visually appealing.
    """;

// Configure the function app to host the AI agent.
FunctionsApplicationBuilder builder = FunctionsApplication
    .CreateBuilder(args)
    .ConfigureFunctionsWebApplication()
    .ConfigureDurableAgents(options =>
    {
        // Define the Travel Planner agent with tools for weather and events
        options.AddAIAgentFactory(TravelPlannerName, sp =>
        {
            return client.GetChatClient(deploymentName).AsAIAgent(
                instructions: TravelPlannerInstructions,
                name: TravelPlannerName,
                services: sp,
                tools: [
                    AIFunctionFactory.Create(TravelTools.GetWeatherForecast),
                    AIFunctionFactory.Create(TravelTools.GetLocalEvents),
                ]);
        });
    });

// Register Redis connection as a singleton
builder.Services.AddSingleton<IConnectionMultiplexer>(_ =>
    ConnectionMultiplexer.Connect(redisConnectionString));

// Register the Redis stream response handler - this captures agent responses
// and publishes them to Redis Streams for reliable delivery.
// Registered as both the concrete type (for FunctionTriggers) and the interface (for the agent framework).
builder.Services.AddSingleton(sp =>
    new RedisStreamResponseHandler(
        sp.GetRequiredService<IConnectionMultiplexer>(),
        TimeSpan.FromMinutes(redisStreamTtlMinutes)));
builder.Services.AddSingleton<IAgentResponseHandler>(sp =>
    sp.GetRequiredService<RedisStreamResponseHandler>());

using IHost app = builder.Build();

app.Run();