microsoft-foundry · nick863 · Jan 29, 2026 · Jan 31, 2026
diff --git a/samples/csharp/enterprise-agent-tutorial/1-idea-to-prototype/Evaluate/Evaluate.csproj b/samples/csharp/enterprise-agent-tutorial/1-idea-to-prototype/Evaluate/Evaluate.csproj
@@ -8,8 +8,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Azure.AI.Agents" Version="2.0.0-alpha.20251016.2" />
-    <PackageReference Include="Azure.Identity" Version="1.17.0" />
+    <PackageReference Include="Azure.AI.Projects" Version="1.2.0-alpha.20260128.1" />
+    <PackageReference Include="Azure.AI.Projects.OpenAI" Version="1.0.0-alpha.20260128.1" />
+    <PackageReference Include="Azure.Identity" Version="1.17.1" />
     <PackageReference Include="DotNetEnv" Version="3.1.1" />
   </ItemGroup>
 

@@ -1,25 +1,31 @@
 // <imports_and_includes>
-using System;
-using System.Collections.Generic;
-using System.IO;
-using System.Linq;
-using System.Text.Json;
-using System.Threading.Tasks;
 using Azure;
-using Azure.AI.Agents;
+using Azure.AI.Projects;
+using Azure.AI.Projects.OpenAI;
 using Azure.Core;
 using Azure.Identity;
 using DotNetEnv;
-using OpenAI;
 using OpenAI.Responses;
+using System;
+using System.Collections.Generic;
+using System.IO.Enumeration;
+using System.Runtime.CompilerServices;
+using System.Text.Json;
+using System.Threading.Tasks;
 // </imports_and_includes>
-
+#pragma warning disable OPENAI001
 class EvaluateProgram
 {
+    private static string GetFile(string name, [CallerFilePath] string pth = "")
+    {
+        var dirName = Path.GetDirectoryName(pth) ?? "";
+        return Path.Combine(dirName, "..", "shared", name);
+    }
+
     static async Task Main(string[] args)
     {
         // Load environment variables from shared directory
-        Env.Load("../shared/.env");
+        Env.Load(GetFile(".env"));
 
         var projectEndpoint = Environment.GetEnvironmentVariable("PROJECT_ENDPOINT");
         var modelDeploymentName = Environment.GetEnvironmentVariable("MODEL_DEPLOYMENT_NAME");
@@ -38,19 +44,28 @@ static async Task Main(string[] args)
             credential = new DefaultAzureCredential();
         }
 
-        AgentsClient client = new(new Uri(projectEndpoint), credential);
+        AIProjectClient client = new(new Uri(projectEndpoint), credential);
 
         Console.WriteLine("🧪 Modern Workplace Assistant Evaluation\n");
 
-        List<ToolDefinition> tools = new();
+        var instructions = @"You are a Modern Workplace Assistant for Contoso Corporation.
+Answer questions using available tools and provide specific, detailed responses.";
+        PromptAgentDefinition agentDefinition = new PromptAgentDefinition(modelDeploymentName)
+        {
+            Instructions = instructions
+        };
 
         // Add SharePoint tool if configured
         if (!string.IsNullOrEmpty(sharepointConnectionId))
         {
             try
             {
-                SharepointToolDefinition sharepointTool = new(new SharepointGroundingToolParameters(sharepointConnectionId));
-                tools.Add(sharepointTool);
+                SharePointGroundingToolOptions sharepointToolOption = new()
+                {
+                    ProjectConnections = { new ToolProjectConnection(projectConnectionId: sharepointConnectionId) }
+                };
+                SharepointPreviewTool sharepointTool = new(sharepointToolOption);
+                agentDefinition.Tools.Add(sharepointTool);
                 Console.WriteLine("✅ SharePoint configured for evaluation");
             }
             catch (Exception ex)
@@ -64,8 +79,12 @@ static async Task Main(string[] args)
         {
             try
             {
-                MCPToolDefinition mcpTool = new("microsoft_learn", mcpServerUrl);
-                tools.Add(mcpTool);
+                McpTool mcpTool = ResponseTool.CreateMcpTool(
+                    serverLabel: "microsoft_learn",
+                    serverUri: new Uri(mcpServerUrl),
+                    toolCallApprovalPolicy: new McpToolCallApprovalPolicy(GlobalMcpToolCallApprovalPolicy.NeverRequireApproval)
+                );
+                agentDefinition.Tools.Add(mcpTool);
                 Console.WriteLine("✅ MCP configured for evaluation");
             }
             catch (Exception ex)
@@ -76,22 +95,13 @@ static async Task Main(string[] args)
 
         Console.WriteLine();
 
-        var instructions = @"You are a Modern Workplace Assistant for Contoso Corporation.
-Answer questions using available tools and provide specific, detailed responses.";
-
-        AgentDefinition agentDefinition = new PromptAgentDefinition(modelDeploymentName)
-        {
-            Instructions = instructions,
-            Tools = tools
-        };
-
-        AgentVersion agent = await client.CreateAgentVersionAsync(
-            "Evaluation Agent",
-            agentDefinition
+        AgentVersion agent = await client.Agents.CreateAgentVersionAsync(
+            agentName: "EvaluationAgent",
+            options: new(agentDefinition)
         );
 
         // <load_test_data>
-        var questions = File.ReadAllLines("../shared/questions.jsonl")
+        var questions = File.ReadAllLines(GetFile("questions.jsonl"))
             .Select(line => JsonSerializer.Deserialize<JsonElement>(line))
             .ToList();
         // </load_test_data>
@@ -114,20 +124,14 @@ static async Task Main(string[] args)
                     .Select(e => e.GetString()!)
                     .ToArray();
             }
-
-            Console.WriteLine($"Question {i + 1}/{questions.Count}: {question}");
 
-            // Get OpenAI client from the agents client
-            OpenAIClient openAIClient = client.GetOpenAIClient();
-            OpenAIResponseClient responseClient = openAIClient.GetOpenAIResponseClient(modelDeploymentName);
+            Console.WriteLine($"Question {i + 1}/{questions.Count}: {question}");
 
             // Create a conversation to maintain state
-            AgentConversation conversation = await client.GetConversationsClient().CreateConversationAsync();
+            ProjectConversation conversation = await client.OpenAI.Conversations.CreateProjectConversationAsync();
 
-            // Set up response creation options with agent and conversation references
-            ResponseCreationOptions responseCreationOptions = new();
-            responseCreationOptions.SetAgentReference(agent.Name);
-            responseCreationOptions.SetConversationReference(conversation);
+            // Get OpenAI client from the agents client
+            ProjectResponsesClient responseClient = client.OpenAI.GetProjectResponsesClientForAgent(agent, conversation.Id);
 
             // Create the user message item
             List<ResponseItem> items = [ResponseItem.CreateUserMessageItem(question)];
@@ -136,7 +140,7 @@ static async Task Main(string[] args)
             try
             {
                 // Create response from the agent
-                OpenAIResponse openAIResponse = await responseClient.CreateResponseAsync(items, responseCreationOptions);
+                ResponseResult openAIResponse = await responseClient.CreateResponseAsync(items);
                 response = openAIResponse.GetOutputText();
             }
             catch (Exception ex)

diff --git a/samples/csharp/enterprise-agent-tutorial/1-idea-to-prototype/Evaluate/nuget.config b/samples/csharp/enterprise-agent-tutorial/1-idea-to-prototype/Evaluate/nuget.config
@@ -2,7 +2,6 @@
 <configuration>
   <packageSources>
     <clear />
-    <add key="nuget.org" value="https://api.nuget.org/v3/index.json" />
-    <add key="local-preview" value="F:\git\agentsv2-preview\dotnet\package" />
+    <add key="local-packages" value="../dist" />
   </packageSources>
 </configuration>
diff --git a/...ent-tutorial/1-idea-to-prototype/ModernWorkplaceAssistant/ModernWorkplaceAssistant.csproj b/...ent-tutorial/1-idea-to-prototype/ModernWorkplaceAssistant/ModernWorkplaceAssistant.csproj
@@ -8,8 +8,9 @@
   </PropertyGroup>
 
   <ItemGroup>
-    <PackageReference Include="Azure.AI.Agents" Version="2.0.0-alpha.20251016.2" />
-    <PackageReference Include="Azure.Identity" Version="1.13.1" />
+    <PackageReference Include="Azure.AI.Projects" Version="1.2.0-alpha.20260128.1" />
+    <PackageReference Include="Azure.AI.Projects.OpenAI" Version="1.0.0-alpha.20260128.1" />
+    <PackageReference Include="Azure.Identity" Version="1.17.1" />
     <PackageReference Include="DotNetEnv" Version="3.1.1" />
   </ItemGroup>
 

@@ -4,29 +4,28 @@
 using System;
 using System.Collections.Generic;
 using System.Threading.Tasks;
-using Azure;
-using Azure.AI.Agents;
+using Azure.AI.Projects;
+using Azure.AI.Projects.OpenAI;
 using Azure.Core;
 using Azure.Identity;
 using DotNetEnv;
-using OpenAI;
 using OpenAI.Responses;
 // </imports_and_includes>
 
 /*
  * Azure AI Foundry Agent Sample - Tutorial 1: Modern Workplace Assistant
- * 
+ *
  * This sample demonstrates a complete business scenario using Azure AI Agents SDK v2:
  * - Agent creation with the new SDK
  * - Conversation and response management
  * - Robust error handling and graceful degradation
- * 
+ *
  * Educational Focus:
  * - Enterprise AI patterns with Agent SDK v2
  * - Real-world business scenarios that enterprises face daily
  * - Production-ready error handling and diagnostics
  * - Foundation for governance, evaluation, and monitoring (Tutorials 2-3)
- * 
+ *
  * Business Scenario:
  * An employee needs to implement Azure AD multi-factor authentication. They need:
  * 1. Company security policy requirements
@@ -36,9 +35,9 @@
 
 class Program
 {
-    private static AgentsClient? agentsClient;
-    private static OpenAIResponseClient? responseClient;
-    private static AgentConversation? conversation;
+    private static AIProjectClient? projectClient;
+    private static ProjectResponsesClient? responseClient;
+    private static ProjectConversation? conversation;
 
     static async Task Main(string[] args)
     {
@@ -57,7 +56,7 @@ static async Task Main(string[] args)
             // Offer interactive testing
             Console.Write("\n🎯 Try interactive mode? (y/n): ");
             var response = Console.ReadLine();
-            if (response?.ToLower().StartsWith("y") == true)
+            if (response?.StartsWith("y", StringComparison.CurrentCultureIgnoreCase) == true)
             {
                 await InteractiveModeAsync(agentName);
             }
@@ -79,17 +78,17 @@ static async Task Main(string[] args)
 
     /// <summary>
     /// Create a Modern Workplace Assistant using Agent SDK v2.
-    /// 
+    ///
     /// This demonstrates enterprise AI patterns:
     /// 1. Agent creation with the new SDK
     /// 2. Robust error handling with graceful degradation
     /// 3. Clear diagnostic information for troubleshooting
-    /// 
+    ///
     /// Educational Value:
     /// - Shows real-world complexity of enterprise AI systems
     /// - Demonstrates how to handle partial system failures
     /// - Provides patterns for agent creation with Agent SDK v2
-    /// 
+    ///
     /// Note: Tool integration (SharePoint, MCP) is being explored for SDK v2 beta.
     /// This version demonstrates the core agent functionality.
     /// </summary>
@@ -124,7 +123,7 @@ private static async Task<string> CreateWorkplaceAssistantAsync()
             credential = new DefaultAzureCredential();
         }
 
-        agentsClient = new AgentsClient(new Uri(projectEndpoint), credential);
+        projectClient = new AIProjectClient(new Uri(projectEndpoint), credential);
         Console.WriteLine($"✅ Connected to Azure AI Foundry: {projectEndpoint}");
         // </agent_authentication>
 
@@ -133,22 +132,22 @@ private static async Task<string> CreateWorkplaceAssistantAsync()
         // ========================================================================
         string instructions = @"You are a Technical Assistant specializing in Azure and Microsoft 365 guidance.
 
-CAPABILITIES:
-- Provide detailed Azure and Microsoft 365 technical guidance
-- Explain implementation steps and best practices
-- Help with Azure AD, Conditional Access, MFA, and security configurations
+        CAPABILITIES:
+        - Provide detailed Azure and Microsoft 365 technical guidance
+        - Explain implementation steps and best practices
+        - Help with Azure AD, Conditional Access, MFA, and security configurations
 
-RESPONSE STRATEGY:
-- Provide comprehensive technical guidance
-- Include step-by-step implementation instructions
-- Reference best practices and security considerations
-- For policy questions, explain common enterprise policies and how to implement them
-- For technical questions, provide detailed Azure/M365 implementation steps
+        RESPONSE STRATEGY:
+        - Provide comprehensive technical guidance
+        - Include step-by-step implementation instructions
+        - Reference best practices and security considerations
+        - For policy questions, explain common enterprise policies and how to implement them
+        - For technical questions, provide detailed Azure/M365 implementation steps
 
-EXAMPLE SCENARIOS:
-- ""What is a typical enterprise MFA policy?"" → Explain common MFA policies and their implementation
-- ""How do I configure Azure AD Conditional Access?"" → Provide detailed technical steps
-- ""What are the best practices for remote work security?"" → Combine policy recommendations with implementation guidance";
+        EXAMPLE SCENARIOS:
+        - ""What is a typical enterprise MFA policy?"" → Explain common MFA policies and their implementation
+        - ""How do I configure Azure AD Conditional Access?"" → Provide detailed technical steps
+        - ""What are the best practices for remote work security?"" → Combine policy recommendations with implementation guidance";
 
         // <create_agent>
         Console.WriteLine($"🛠️  Creating agent with model: {modelDeploymentName}");
@@ -158,9 +157,9 @@ private static async Task<string> CreateWorkplaceAssistantAsync()
             Instructions = instructions
         };
 
-        AgentVersion agent = await agentsClient.CreateAgentVersionAsync(
-            "Modern_Workplace_Assistant",
-            agentDefinition
+        AgentVersion agent = await projectClient.Agents.CreateAgentVersionAsync(
+            agentName: "ModernWorkplaceAssistant",
+            options: new(agentDefinition)
         );
 
         Console.WriteLine("✅ Agent created successfully");
@@ -172,22 +171,21 @@ private static async Task<string> CreateWorkplaceAssistantAsync()
         Console.WriteLine("   - Tool integration patterns being finalized");
         // </create_agent>
 
-        // Initialize OpenAI client for conversations
-        OpenAIClient openAIClient = agentsClient.GetOpenAIClient();
-        responseClient = openAIClient.GetOpenAIResponseClient(modelDeploymentName);
-
         // Create a conversation to maintain state
-        conversation = await agentsClient.GetConversationsClient().CreateConversationAsync();
+        conversation = await projectClient.OpenAI.Conversations.CreateProjectConversationAsync();
+
+        // Initialize ProjectResponsesClient for conversations
+        responseClient = projectClient.OpenAI.GetProjectResponsesClientForAgent(agent, conversation.Id);
 
         return agent.Name;
     }
 
     /// <summary>
     /// Demonstrate realistic business scenarios with Agent SDK v2.
-    /// 
+    ///
     /// This function showcases the practical value of the Modern Workplace Assistant
     /// by walking through scenarios that enterprise employees face regularly.
-    /// 
+    ///
     /// Educational Value:
     /// - Shows real business problems that AI agents can solve
     /// - Demonstrates proper conversation and response management
@@ -274,9 +272,9 @@ private static async Task DemonstrateBusinessScenariosAsync(string agentName)
 
     /// <summary>
     /// Execute a conversation with the workplace assistant using Agent SDK v2.
-    /// 
+    ///
     /// This function demonstrates the conversation pattern for Azure AI Agents SDK v2.
-    /// 
+    ///
     /// Educational Value:
     /// - Shows proper conversation management with Agent SDK v2
     /// - Demonstrates conversation creation and message handling
@@ -287,16 +285,11 @@ private static async Task DemonstrateBusinessScenariosAsync(string agentName)
         try
         {
             // <create_response>
-            // Set up response creation options with agent and conversation references
-            ResponseCreationOptions responseCreationOptions = new();
-            responseCreationOptions.SetAgentReference(agentName);
-            responseCreationOptions.SetConversationReference(conversation!);
-
             // Create the user message item
             List<ResponseItem> items = [ResponseItem.CreateUserMessageItem(message)];
 
             // Create response from the agent
-            OpenAIResponse response = await responseClient!.CreateResponseAsync(items, responseCreationOptions);
+            ResponseResult response = await responseClient!.CreateResponseAsync(items);
 
             // Extract the response text
             string responseText = response.GetOutputText();
@@ -317,7 +310,7 @@ private static async Task DemonstrateBusinessScenariosAsync(string agentName)
 
     /// <summary>
     /// Interactive mode for testing the workplace assistant.
-    /// 
+    ///
     /// This provides a simple interface for users to test the agent with their own questions
     /// and see how it provides comprehensive technical guidance.
     /// </summary>

diff --git a/...sharp/enterprise-agent-tutorial/1-idea-to-prototype/ModernWorkplaceAssistant/nuget.config b/...sharp/enterprise-agent-tutorial/1-idea-to-prototype/ModernWorkplaceAssistant/nuget.config
@@ -2,7 +2,6 @@
 <configuration>
   <packageSources>
     <clear />
-    <add key="nuget.org" value="https://api.nuget.org/v3/index.json" />
-    <add key="local-preview" value="F:\git\agentsv2-preview\dotnet\package" />
+    <add key="local-packages" value="../dist" />
   </packageSources>
 </configuration>