mirror of
https://github.com/microsoft/agent-framework.git
synced 2026-06-16 21:04:09 +08:00
* 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
133 lines
5.3 KiB
C#
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);
|