test

dotnet/samples/HostedAgents/AgentsInWorkflows/AgentsInWorkflows.csproj

@@ -0,0 +1,69 @@
+<Project Sdk="Microsoft.NET.Sdk">
+
+  <PropertyGroup>
+    <OutputType>Exe</OutputType>
+    <TargetFrameworks>net10.0</TargetFrameworks>
+
+    <Nullable>enable</Nullable>
+    <ImplicitUsings>enable</ImplicitUsings>
+
+    <!-- 
+      Disable central package management for this project.
+      This project requires explicit package references with versions specified inline rather than 
+      inheriting them from Directory.Packages.props. This is necessary because a Docker image will 
+      be created from this project, and the Docker build process only has access to this folder 
+      and cannot access parent folders where Directory.Packages.props resides.
+    -->
+    <ManagePackageVersionsCentrally>false</ManagePackageVersionsCentrally>
+  </PropertyGroup>
+
+  <!-- 
+    Remove analyzer PackageReference items inherited from Directory.Packages.props.
+    Note: ManagePackageVersionsCentrally only controls PackageVersion items, not PackageReference items.
+    Directory.Packages.props contains both PackageVersion and PackageReference entries for analyzers,
+    and the PackageReference items are always inherited through MSBuild imports regardless of the 
+    ManagePackageVersionsCentrally setting. We must explicitly remove them before adding our own versions.
+  -->
+  <ItemGroup>
+    <PackageReference Remove="Microsoft.CodeAnalysis.NetAnalyzers" />
+    <PackageReference Remove="Microsoft.VisualStudio.Threading.Analyzers" />
+    <PackageReference Remove="xunit.analyzers" />
+    <PackageReference Remove="Moq.Analyzers" />
+    <PackageReference Remove="Roslynator.Analyzers" />
+    <PackageReference Remove="Roslynator.CodeAnalysis.Analyzers" />
+    <PackageReference Remove="Roslynator.Formatting.Analyzers" />
+  </ItemGroup>
+
+  <ItemGroup>
+    <PackageReference Include="Azure.AI.AgentServer.AgentFramework" Version="1.0.0-beta.5" />
+    <PackageReference Include="Azure.AI.OpenAI" Version="2.7.0-beta.2" />
+    <PackageReference Include="Azure.Identity" Version="1.17.1" />
+    <PackageReference Include="Microsoft.Agents.AI.Workflows" Version="1.0.0-preview.251219.1" />
+    <PackageReference Include="Microsoft.Extensions.AI.OpenAI" Version="10.1.0-preview.1.25608.1" />
+  </ItemGroup>
+
+  <!-- Add analyzers with compatible versions -->
+  <ItemGroup>
+    <PackageReference Include="Microsoft.CodeAnalysis.NetAnalyzers" Version="10.0.100">
+      <PrivateAssets>all</PrivateAssets>
+      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
+    </PackageReference>
+    <PackageReference Include="Microsoft.VisualStudio.Threading.Analyzers" Version="17.14.15">
+      <PrivateAssets>all</PrivateAssets>
+      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
+    </PackageReference>
+    <PackageReference Include="Roslynator.Analyzers" Version="4.14.1">
+      <PrivateAssets>all</PrivateAssets>
+      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
+    </PackageReference>
+    <PackageReference Include="Roslynator.CodeAnalysis.Analyzers" Version="4.14.1">
+      <PrivateAssets>all</PrivateAssets>
+      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
+    </PackageReference>
+    <PackageReference Include="Roslynator.Formatting.Analyzers" Version="4.14.1">
+      <PrivateAssets>all</PrivateAssets>
+      <IncludeAssets>runtime; build; native; contentfiles; analyzers; buildtransitive</IncludeAssets>
+    </PackageReference>
+  </ItemGroup>
+
+</Project>

dotnet/samples/HostedAgents/AgentsInWorkflows/Dockerfile

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+# Build the application
+FROM mcr.microsoft.com/dotnet/sdk:10.0-alpine AS build
+WORKDIR /src
+
+# Copy files from the current directory on the host to the working directory in the container
+COPY . .
+
+RUN dotnet restore
+RUN dotnet build -c Release --no-restore
+RUN dotnet publish -c Release --no-build -o /app -f net10.0
+
+# Run the application
+FROM mcr.microsoft.com/dotnet/aspnet:10.0-alpine AS final
+WORKDIR /app
+
+# Copy everything needed to run the app from the "build" stage.
+COPY --from=build /app .
+
+EXPOSE 8088
+ENTRYPOINT ["dotnet", "AgentsInWorkflows.dll"]

dotnet/samples/HostedAgents/AgentsInWorkflows/Program.cs

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+// Copyright (c) Microsoft. All rights reserved.
+
+// This sample demonstrates how to integrate AI agents into a workflow pipeline.
+// Three translation agents are connected sequentially to create a translation chain:
+// English → French → Spanish → English, showing how agents can be composed as workflow executors.
+
+using Azure.AI.AgentServer.AgentFramework.Extensions;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Workflows;
+using Microsoft.Extensions.AI;
+
+// Set up the Azure OpenAI client
+var endpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT") ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deploymentName = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT_NAME") ?? "gpt-4o-mini";
+
+IChatClient chatClient = new AzureOpenAIClient(new Uri(endpoint), new DefaultAzureCredential())
+    .GetChatClient(deploymentName)
+    .AsIChatClient();
+
+// Create agents
+AIAgent frenchAgent = GetTranslationAgent("French", chatClient);
+AIAgent spanishAgent = GetTranslationAgent("Spanish", chatClient);
+AIAgent englishAgent = GetTranslationAgent("English", chatClient);
+
+// Build the workflow and turn it into an agent
+AIAgent agent = new WorkflowBuilder(frenchAgent)
+    .AddEdge(frenchAgent, spanishAgent)
+    .AddEdge(spanishAgent, englishAgent)
+    .Build()
+    .AsAgent();
+
+await agent.RunAIAgentAsync();
+
+static ChatClientAgent GetTranslationAgent(string targetLanguage, IChatClient chatClient) =>
+    new(chatClient, $"You are a translation assistant that translates the provided text to {targetLanguage}.");

dotnet/samples/HostedAgents/AgentsInWorkflows/README.md

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+# What this sample demonstrates
+
+This sample demonstrates the use of AI agents as executors within a workflow.
+
+This workflow uses three translation agents:
+1. French Agent - translates input text to French
+2. Spanish Agent - translates French text to Spanish
+3. English Agent - translates Spanish text back to English
+
+The agents are connected sequentially, creating a translation chain that demonstrates how AI-powered components can be seamlessly integrated into workflow pipelines.
+
+## Prerequisites
+
+Before you begin, ensure you have the following prerequisites:
+
+- .NET 10 SDK or later
+- Azure OpenAI 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 OpenAI 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
+$env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI resource endpoint
+$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o-mini"  # Optional, defaults to gpt-4o-mini

dotnet/samples/HostedAgents/AgentsInWorkflows/agent.yaml

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+name: AgentsInWorkflows
+displayName: "Translation Chain Workflow Agent"
+description: >
+  A workflow agent that performs sequential translation through multiple languages.
+  The agent translates text from English to French, then to Spanish, and finally back
+  to English, leveraging AI-powered translation capabilities in a pipeline workflow.
+metadata:
+  authors:
+    - Microsoft Agent Framework Team
+  tags:
+    - Azure AI AgentServer
+    - Microsoft Agent Framework
+    - Workflows
+template:
+  kind: hosted
+  name: AgentsInWorkflows
+  protocols:
+    - protocol: responses
+      version: v1
+  environment_variables:
+    - name: AZURE_OPENAI_ENDPOINT
+      value: ${AZURE_OPENAI_ENDPOINT}
+    - name: AZURE_OPENAI_DEPLOYMENT_NAME
+      value: gpt-4o-mini
+resources:
+  - name: "gpt-4o-mini"
+    kind: model
+    id: gpt-4o-mini

dotnet/samples/HostedAgents/AgentsInWorkflows/run-requests.http

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+@host = http://localhost:8088
+@endpoint = {{host}}/responses
+
+### Health Check
+GET {{host}}/readiness
+
+### Simple string input
+POST {{endpoint}}
+Content-Type: application/json
+{
+    "input": "Hello, how are you today?"
+}
+
+### Explicit input
+POST {{endpoint}}
+Content-Type: application/json
+{
+    "input": [
+        {
+            "type": "message",
+            "role": "user",
+            "content": [
+                {
+                    "type": "input_text",
+                    "text": "Hello, how are you today?"
+                }
+            ]
+        }
+    ]
+}