Files
agent-framework/dotnet/samples/05-end-to-end/HostedAgents/FoundrySingleAgent/Program.cs
T
Roger BarretoandGitHub 628bb1af48 .NET: Rename Microsoft.Agents.AI.AzureAI to Microsoft.Agents.AI.Foundry and consolidate FoundryMemory (#5042)
* Update Foundry Responses as ChatClientAgent

* Migrate obsolete AzureAI integration tests to versioned agent pattern

Replace obsolete CreateAIAgentAsync/GetAIAgentAsync calls with
Agents.CreateAgentVersionAsync() + AsAIAgent(AgentVersion) in all
AzureAI integration tests.

- Rename AIProjectClient* test files to FoundryVersionedAgent*
- Register AIFunction tools in PromptAgentDefinition.Tools for
  server-side visibility via AsOpenAIResponseTool()
- Skip structured output tests (AzureAIProjectChatClient clears
  ResponseFormat for versioned agents)
- Remove all [Obsolete] attributes and #pragma warning disable CS0618

* Merge FoundryMemory package into AzureAI under Memory/ folder

Move all FoundryMemory source, unit tests, and integration tests into
the Microsoft.Agents.AI.AzureAI package. Change namespace from
Microsoft.Agents.AI.FoundryMemory to Microsoft.Agents.AI.AzureAI.

- Add [Experimental] to FoundryMemoryProviderOptions and Scope
- Rename internal AIProjectClientExtensions to MemoryStoreExtensions
- Update AzureAI .csproj with Compliance.Abstractions, Redaction
- Remove FoundryMemory from solution and release filter
- Update sample to reference AzureAI instead of FoundryMemory
- Delete old Microsoft.Agents.AI.FoundryMemory project and tests

* Add EnsureMemoryStoreCreatedAsync and memory existence checks to integration tests

- Ensure memory store is created before testing memory operations
- Add AZURE_AI_EMBEDDING_DEPLOYMENT_NAME config setting
- Assert memories exist in store via SearchMemoriesAsync before cleanup
- Verify scope isolation with direct memory store queries

* Fix and rename AzureAI unit tests for RAPI vs Versioned clarity

- Rename AsAIAgentAsync_* to AsAIAgent_* (drop Async from method group)
- Add _Rapi_ prefix to non-versioned (Responses API) tests
- Add _Versioned_ prefix to versioned agent tests where needed
- Fix RAPI tests: assert GetService<AIProjectClient>() is null
- Fix Versioned tests: assert IsType<FoundryAgent> and
  GetService<AIProjectClient>() returns the client instance
- Fix UserAgent header tests: proper HTTP handler routing
- Fix ChatClient_UsesDefaultConversationIdAsync test setup
- All 153 unit tests pass with 0 failures

* Rename Microsoft.Agents.AI.AzureAI to Microsoft.Agents.AI.Foundry

Rename the project, namespace, folder, and all references from
Microsoft.Agents.AI.AzureAI to Microsoft.Agents.AI.Foundry.
Also rename Workflows.Declarative.AzureAI to .Foundry.

- Rename src, unit test, integration test, and workflow folders
- Update namespaces in all source and test .cs files
- Update ProjectReferences in ~47 sample and test .csproj files
- Update solution files (.slnx, .slnf)
- Update sample using statements
- Update READMEs, SKILL.md, ADRs in docs/
- Disable package validation baseline for renamed packages
- Fix UTF-8 BOM encoding on all affected .cs files
- AzureAI.Persistent left completely unchanged

* Fix format: remove ImplicitUsings, add explicit usings, fix BOM encoding

- Remove ImplicitUsings=enable from Foundry csproj to resolve IDE0005
  on shared ReplacingRedactor.cs
- Add explicit System usings to all source files that relied on them
- Sort usings alphabetically per editorconfig rules
- Fix UTF-8 BOM on 12 sample Program.cs files
- Rename Azure AI Foundry Agents to Microsoft Foundry Agents in docs
2026-04-02 01:25:24 +00:00

133 lines
5.3 KiB
C#

// Copyright (c) Microsoft. All rights reserved.
// Seattle Hotel Agent - A simple agent with a tool to find hotels in Seattle.
// Uses Microsoft Agent Framework with Microsoft Foundry.
// Ready for deployment to Foundry Hosted Agent service.
#pragma warning disable CA2252 // AIProjectClient and Agents API require opting into preview features
using System.ComponentModel;
using System.Globalization;
using System.Text;
using Azure.AI.AgentServer.AgentFramework.Extensions;
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
// Get configuration from environment variables
var endpoint = Environment.GetEnvironmentVariable("AZURE_AI_PROJECT_ENDPOINT")
?? throw new InvalidOperationException("AZURE_AI_PROJECT_ENDPOINT is not set.");
var deploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
Console.WriteLine($"Project Endpoint: {endpoint}");
Console.WriteLine($"Model Deployment: {deploymentName}");
// Simulated hotel data for Seattle
var seattleHotels = new[]
{
new Hotel("Contoso Suites", 189, 4.5, "Downtown"),
new Hotel("Fabrikam Residences", 159, 4.2, "Pike Place Market"),
new Hotel("Alpine Ski House", 249, 4.7, "Seattle Center"),
new Hotel("Margie's Travel Lodge", 219, 4.4, "Waterfront"),
new Hotel("Northwind Inn", 139, 4.0, "Capitol Hill"),
new Hotel("Relecloud Hotel", 99, 3.8, "University District"),
};
[Description("Get available hotels in Seattle for the specified dates. This simulates a call to a hotel availability API.")]
string GetAvailableHotels(
[Description("Check-in date in YYYY-MM-DD format")] string checkInDate,
[Description("Check-out date in YYYY-MM-DD format")] string checkOutDate,
[Description("Maximum price per night in USD (optional, defaults to 500)")] int maxPrice = 500)
{
try
{
// Parse dates
if (!DateTime.TryParseExact(checkInDate, "yyyy-MM-dd", CultureInfo.InvariantCulture, DateTimeStyles.None, out var checkIn))
{
return "Error parsing check-in date. Please use YYYY-MM-DD format.";
}
if (!DateTime.TryParseExact(checkOutDate, "yyyy-MM-dd", CultureInfo.InvariantCulture, DateTimeStyles.None, out var checkOut))
{
return "Error parsing check-out date. Please use YYYY-MM-DD format.";
}
// Validate dates
if (checkOut <= checkIn)
{
return "Error: Check-out date must be after check-in date.";
}
var nights = (checkOut - checkIn).Days;
// Filter hotels by price
var availableHotels = seattleHotels.Where(h => h.PricePerNight <= maxPrice).ToList();
if (availableHotels.Count == 0)
{
return $"No hotels found in Seattle within your budget of ${maxPrice}/night.";
}
// Build response
var result = new StringBuilder();
result
.AppendLine($"Available hotels in Seattle from {checkInDate} to {checkOutDate} ({nights} nights):")
.AppendLine();
foreach (var hotel in availableHotels)
{
var totalCost = hotel.PricePerNight * nights;
result
.AppendLine($"**{hotel.Name}**")
.AppendLine($" Location: {hotel.Location}")
.AppendLine($" Rating: {hotel.Rating}/5")
.AppendLine($" ${hotel.PricePerNight}/night (Total: ${totalCost})")
.AppendLine();
}
return result.ToString();
}
catch (Exception ex)
{
return $"Error processing request. Details: {ex.Message}";
}
}
// 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.
AIProjectClient aiProjectClient = new(new Uri(endpoint), new DefaultAzureCredential());
// Create Foundry agent with hotel search tool
AIAgent agent = await aiProjectClient.CreateAIAgentAsync(
name: "SeattleHotelAgent",
model: deploymentName,
instructions: """
You are a helpful travel assistant specializing in finding hotels in Seattle, Washington.
When a user asks about hotels in Seattle:
1. Ask for their check-in and check-out dates if not provided
2. Ask about their budget preferences if not mentioned
3. Use the GetAvailableHotels tool to find available options
4. Present the results in a friendly, informative way
5. Offer to help with additional questions about the hotels or Seattle
Be conversational and helpful. If users ask about things outside of Seattle hotels,
politely let them know you specialize in Seattle hotel recommendations.
""",
tools: [AIFunctionFactory.Create(GetAvailableHotels)]);
try
{
Console.WriteLine("Seattle Hotel Agent Server running on http://localhost:8088");
await agent.RunAIAgentAsync(telemetrySourceName: "Agents");
}
finally
{
// Cleanup server-side agent
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);
}
// Hotel record for simulated data
internal sealed record Hotel(string Name, int PricePerNight, double Rating, string Location);