.NET: Azure.AI.Agents Package Split + Initial Extensions (#1657)

* Move packages * Update nuget.config * Address Xmldoc * Remove format from branches checks * Address Xmldocs * Add more details to the implementation * Moving Agent logic to ChatClient * Adding Name and Id overrides to AzureAIAgent * Updating extensions * Add GetAiAgent extensions * Adding support for version as name can conflict 409 using the Agents API with same name * Addressing more updates to the extensions * More improvements * Remove debugging code from sample * Address copilot feedback * Apply suggestions from co-pilot code review
2026-06-16 21:04:09 +08:00 · 2025-11-05 20:10:24 +00:00
parent 904e17473f
commit 7e23140ca9
14 changed files with 1130 additions and 675 deletions
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+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFramework>net9.0</TargetFramework>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+    <NoWarn>$(NoWarn);IDE0059</NoWarn>
+  </PropertyGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.Agents" />
+    <PackageReference Include="Azure.Identity" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAIAgents\Microsoft.Agents.AI.AzureAIAgents.csproj" />
+  </ItemGroup>
+
+</Project>
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+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample shows how to create and use a simple AI agent with Azure Foundry Agents as the backend.
+
+using Azure.AI.Agents;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+
+var endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+
+const string JokerInstructions = "You are good at telling jokes.";
+const string JokerName = "JokerAgent";
+
+// Get a client to create/retrieve server side agents with.
+var agentsClient = new AgentsClient(new Uri(endpoint), new AzureCliCredential());
+
+// Define the agent you want to create.
+var agentDefinition = new PromptAgentDefinition(model: deploymentName) { Instructions = JokerInstructions };
+
+// You can create a server side agent with the Azure.AI.Agents SDK.
+var agentVersion = agentsClient.CreateAgentVersion(agentName: JokerName, definition: agentDefinition).Value;
+
+// You can retrieve an already created server side agent as an AIAgent.
+AIAgent existingAgent = await agentsClient.GetAIAgentAsync(deploymentName, agentVersion.Name);
+
+// You can also create a server side persistent agent and return it as an AIAgent directly.
+var createdAgent = agentsClient.CreateAIAgent(deploymentName, name: JokerName, instructions: JokerInstructions);
+
+// You can then invoke the agent like any other AIAgent.
+AgentThread thread = existingAgent.GetNewThread();
+Console.WriteLine(await existingAgent.RunAsync("Tell me a joke about a pirate.", thread));
+
+// Cleanup by agent name (removes both agent versions created by existingAgent + createdAgent).
+await agentsClient.DeleteAgentAsync(agentVersion.Name);
@@ -0,0 +1,16 @@
+# Prerequisites
+
+Before you begin, ensure you have the following prerequisites:
+
+- .NET 8.0 SDK or later
+- Azure Foundry service endpoint and deployment configured
+- Azure CLI installed and authenticated (for Azure credential authentication)
+
+**Note**: This demo uses Azure CLI credentials for authentication. Make sure you're logged in with `az login` and have access to the Azure Foundry resource. For more information, see the [Azure CLI documentation](https://learn.microsoft.com/cli/azure/authenticate-azure-cli-interactively).
+
+Set the following environment variables:
+
+```powershell
+$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-foundry-service.services.ai.azure.com/api/projects/your-foundry-project" # Replace with your Azure Foundry resource endpoint
+$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini
+```