chore: import upstream snapshot with attribution

08-multi-agent/code_samples/08-dotnet-agent-framework.cs

@@ -0,0 +1,86 @@
+#!/usr/bin/dotnet run
+#:package Microsoft.Extensions.AI.Abstractions@9.9.1
+#:package Azure.AI.Agents.Persistent@1.2.0-beta.4
+#:package Azure.AI.OpenAI@2.1.0
+#:package Azure.Identity@1.15.0
+#:package System.Linq.Async@6.0.3
+#:package Microsoft.Extensions.AI@9.9.1
+#:package DotNetEnv@3.1.1
+#:package OpenTelemetry.Api@1.12.0
+#:package Microsoft.Agents.AI.Workflows@1.0.0-preview.251001.3
+#:package Microsoft.Agents.AI.OpenAI@1.0.0-preview.251001.2
+
+using System;
+using System.Text.Json;
+using System.Text.Json.Serialization;
+using Microsoft.Extensions.AI;
+using Microsoft.Agents.AI;
+using Microsoft.Agents.AI.Workflows;
+using Azure.AI.OpenAI;
+using Azure.Identity;
+using DotNetEnv;
+
+// Load environment variables
+Env.Load("../../../.env");
+
+// Azure OpenAI with the Responses API (stable v1 endpoint). Sign in with `az login`.
+var azureEndpoint = Environment.GetEnvironmentVariable("AZURE_OPENAI_ENDPOINT")
+    ?? throw new InvalidOperationException("AZURE_OPENAI_ENDPOINT is not set.");
+var deployment = Environment.GetEnvironmentVariable("AZURE_OPENAI_DEPLOYMENT") ?? "gpt-4o-mini";
+
+var azureClient = new AzureOpenAIClient(new Uri(azureEndpoint), new AzureCliCredential());
+
+// Define agent roles and instructions
+const string REVIEWER_NAME = "Concierge";
+const string REVIEWER_INSTRUCTIONS = @"""
+    You are an are hotel concierge who has opinions about providing the most local and authentic experiences for travelers.
+    The goal is to determine if the front desk travel agent has recommended the best non-touristy experience for a traveler.
+    If so, state that it is approved.
+    If not, provide insight on how to refine the recommendation without using a specific example. 
+    """;
+
+const string FRONTDESK_NAME = "FrontDesk";
+const string FRONTDESK_INSTRUCTIONS = @"""
+    You are a Front Desk Travel Agent with ten years of experience and are known for brevity as you deal with many customers.
+    The goal is to provide the best activities and locations for a traveler to visit.
+    Only provide a single recommendation per response.
+    You're laser focused on the goal at hand.
+    Don't waste time with chit chat.
+    Consider suggestions when refining an idea.
+    """;
+
+// Create agent options
+ChatClientAgentOptions frontdeskAgentOptions = new(name: FRONTDESK_NAME, instructions: FRONTDESK_INSTRUCTIONS);
+ChatClientAgentOptions reviewerAgentOptions = new(name: REVIEWER_NAME, instructions: REVIEWER_INSTRUCTIONS);
+
+// Create agents
+AIAgent reviewerAgent = azureClient.GetOpenAIResponseClient(deployment).CreateAIAgent(
+    reviewerAgentOptions);
+AIAgent frontdeskAgent = azureClient.GetOpenAIResponseClient(deployment).CreateAIAgent(
+    frontdeskAgentOptions);
+
+// Build workflow with agent coordination
+var workflow = new WorkflowBuilder(frontdeskAgent)
+            .AddEdge(frontdeskAgent, reviewerAgent)
+            .Build();
+
+// Execute workflow with streaming
+StreamingRun run = await InProcessExecution.StreamAsync(workflow, new ChatMessage(ChatRole.User, "I would like to go to Paris."));
+
+await run.TrySendMessageAsync(new TurnToken(emitEvents: true));
+
+string strResult = "";
+
+// Process streaming events
+await foreach (WorkflowEvent evt in run.WatchStreamAsync().ConfigureAwait(false))
+{
+    if (evt is AgentRunUpdateEvent executorComplete)
+    {
+        strResult += executorComplete.Data;
+        Console.WriteLine($"{executorComplete.ExecutorId}: {executorComplete.Data}");
+    }
+}
+
+// Display final result
+Console.WriteLine("\nFinal Result:");
+Console.WriteLine(strResult);