.Net: Add a new orchestration sample that uses different agent types (#12665)

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- [ ] The code builds clean without any errors or warnings
- [ ] The PR follows the [SK Contribution
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Author: markwallace-microsoft

dotnet/samples/GettingStartedWithAgents/Orchestration/Step01_Concurrent.cs

@@ -21,12 +21,12 @@ public async Task ConcurrentTaskAsync(bool streamedResponse)
     {
         // Define the agents
         ChatCompletionAgent physicist =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 instructions: "You are an expert in physics. You answer questions from a physics perspective.",
                 name: "Physicist",
                 description: "An expert in physics");
         ChatCompletionAgent chemist =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 instructions: "You are an expert in chemistry. You answer questions from a chemistry perspective.",
                 name: "Chemist",
                 description: "An expert in chemistry");

dotnet/samples/GettingStartedWithAgents/Orchestration/Step01a_ConcurrentWithStructuredOutput.cs

@@ -25,15 +25,15 @@ public async Task ConcurrentStructuredOutputAsync()
     {
         // Define the agents
         ChatCompletionAgent agent1 =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 instructions: "You are an expert in identifying themes in articles. Given an article, identify the main themes.",
                 description: "An expert in identifying themes in articles");
         ChatCompletionAgent agent2 =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 instructions: "You are an expert in sentiment analysis. Given an article, identify the sentiment.",
                 description: "An expert in sentiment analysis");
         ChatCompletionAgent agent3 =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 instructions: "You are an expert in entity recognition. Given an article, extract the entities.",
                 description: "An expert in entity recognition");
 

dotnet/samples/GettingStartedWithAgents/Orchestration/Step02_Sequential.cs

@@ -22,7 +22,7 @@ public async Task SequentialTaskAsync(bool streamedResponse)
     {
         // Define the agents
         ChatCompletionAgent analystAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Analyst",
                 instructions:
                 """
@@ -33,7 +33,7 @@ public async Task SequentialTaskAsync(bool streamedResponse)
                 """,
                 description: "A agent that extracts key concepts from a product description.");
         ChatCompletionAgent writerAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "copywriter",
                 instructions:
                 """
@@ -43,7 +43,7 @@ Output should be short (around 150 words), output just the copy as a single text
                 """,
                 description: "An agent that writes a marketing copy based on the extracted concepts.");
         ChatCompletionAgent editorAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "editor",
                 instructions:
                 """

dotnet/samples/GettingStartedWithAgents/Orchestration/Step02a_SequentialCancellation.cs

@@ -17,7 +17,7 @@ public async Task SequentialCancelledAsync()
     {
         // Define the agents
         ChatCompletionAgent agent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 """
                 If the input message is a number, return the number incremented by one.
                 """,

dotnet/samples/GettingStartedWithAgents/Orchestration/Step03_GroupChat.cs

@@ -27,7 +27,7 @@ public async Task GroupChatAsync(bool streamedResponse)
     {
         // Define the agents
         ChatCompletionAgent writer =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "CopyWriter",
                 description: "A copy writer",
                 instructions:
@@ -40,7 +40,7 @@ Only provide a single proposal per response.
                 Consider suggestions when refining an idea.
                 """);
         ChatCompletionAgent editor =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Reviewer",
                 description: "An editor.",
                 instructions:
@@ -73,7 +73,7 @@ Consider suggestions when refining an idea.
         InProcessRuntime runtime = new();
         await runtime.StartAsync();
 
-        string input = "Create a slogon for a new eletric SUV that is affordable and fun to drive.";
+        string input = "Create a slogan for a new electric SUV that is affordable and fun to drive.";
         Console.WriteLine($"\n# INPUT: {input}\n");
         OrchestrationResult<string> result = await orchestration.InvokeAsync(input, runtime);
         string text = await result.GetValueAsync(TimeSpan.FromSeconds(ResultTimeoutInSeconds * 3));

dotnet/samples/GettingStartedWithAgents/Orchestration/Step03a_GroupChatWithHumanInTheLoop.cs

@@ -19,7 +19,7 @@ public async Task GroupChatWithHumanAsync()
     {
         // Define the agents
         ChatCompletionAgent writer =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "CopyWriter",
                 description: "A copy writer",
                 instructions:
@@ -32,7 +32,7 @@ Only provide a single proposal per response.
                 Consider suggestions when refining an idea.
                 """);
         ChatCompletionAgent editor =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Reviewer",
                 description: "An editor.",
                 instructions:
@@ -73,7 +73,7 @@ Consider suggestions when refining an idea.
         await runtime.StartAsync();
 
         // Run the orchestration
-        string input = "Create a slogon for a new eletric SUV that is affordable and fun to drive.";
+        string input = "Create a slogan for a new electric SUV that is affordable and fun to drive.";
         Console.WriteLine($"\n# INPUT: {input}\n");
         OrchestrationResult<string> result = await orchestration.InvokeAsync(input, runtime);
         string text = await result.GetValueAsync(TimeSpan.FromSeconds(ResultTimeoutInSeconds * 3));

dotnet/samples/GettingStartedWithAgents/Orchestration/Step03b_GroupChatWithAIManager.cs

@@ -23,7 +23,7 @@ public async Task GroupChatWithAIManagerAsync()
     {
         // Define the agents
         ChatCompletionAgent farmer =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Farmer",
                 description: "A rural farmer from Southeast Asia.",
                 instructions:
@@ -34,7 +34,7 @@ You value tradition and sustainability.
                 You are in a debate. Feel free to challenge the other participants with respect.
                 """);
         ChatCompletionAgent developer =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Developer",
                 description: "An urban software developer from the United States.",
                 instructions:
@@ -45,7 +45,7 @@ Your life is fast-paced and technology-driven.
                 You are in a debate. Feel free to challenge the other participants with respect.
                 """);
         ChatCompletionAgent teacher =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Teacher",
                 description: "A retired history teacher from Eastern Europe",
                 instructions:
@@ -56,7 +56,7 @@ You bring historical and philosophical perspectives to discussions.
                 You are in a debate. Feel free to challenge the other participants with respect.
                 """);
         ChatCompletionAgent activist =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Activist",
                 description: "A young activist from South America.",
                 instructions:
@@ -66,7 +66,7 @@ You are in a debate. Feel free to challenge the other participants with respect.
                 You are in a debate. Feel free to challenge the other participants with respect.
                 """);
         ChatCompletionAgent spiritual =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "SpiritualLeader",
                 description: "A spiritual leader from the Middle East.",
                 instructions:
@@ -76,7 +76,7 @@ You are in a debate. Feel free to challenge the other participants with respect.
                 You are in a debate. Feel free to challenge the other participants with respect.
                 """);
         ChatCompletionAgent artist =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Artist",
                 description: "An artist from Africa.",
                 instructions:
@@ -86,7 +86,7 @@ You are in a debate. Feel free to challenge the other participants with respect.
                 You are in a debate. Feel free to challenge the other participants with respect.
                 """);
         ChatCompletionAgent immigrant =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Immigrant",
                 description: "An immigrant entrepreneur from Asia living in Canada.",
                 instructions:
@@ -97,7 +97,7 @@ You balance trandition with adaption.
                 You are in a debate. Feel free to challenge the other participants with respect.
                 """);
         ChatCompletionAgent doctor =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "Doctor",
                 description: "A doctor from Scandinavia.",
                 instructions:

dotnet/samples/GettingStartedWithAgents/Orchestration/Step04_Handoff.cs

@@ -23,24 +23,24 @@ public async Task OrderSupportAsync(bool streamedResponse)
     {
         // Define the agents & tools
         ChatCompletionAgent triageAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 instructions: "A customer support agent that triages issues.",
                 name: "TriageAgent",
                 description: "Handle customer requests.");
         ChatCompletionAgent statusAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "OrderStatusAgent",
                 instructions: "Handle order status requests.",
                 description: "A customer support agent that checks order status.");
         statusAgent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromObject(new OrderStatusPlugin()));
         ChatCompletionAgent returnAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "OrderReturnAgent",
                 instructions: "Handle order return requests.",
                 description: "A customer support agent that handles order returns.");
         returnAgent.Kernel.Plugins.Add(KernelPluginFactory.CreateFromObject(new OrderReturnPlugin()));
         ChatCompletionAgent refundAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "OrderRefundAgent",
                 instructions: "Handle order refund requests.",
                 description: "A customer support agent that handles order refund.");

dotnet/samples/GettingStartedWithAgents/Orchestration/Step04a_HandoffWithStructuredInput.cs

@@ -23,18 +23,18 @@ public async Task HandoffStructuredInputAsync()
 
         // Define the agents
         ChatCompletionAgent triageAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 instructions: "Given a GitHub issue, triage it.",
                 name: "TriageAgent",
                 description: "An agent that triages GitHub issues");
         ChatCompletionAgent pythonAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 instructions: "You are an agent that handles Python related GitHub issues.",
                 name: "PythonAgent",
                 description: "An agent that handles Python related issues");
         pythonAgent.Kernel.Plugins.Add(plugin);
         ChatCompletionAgent dotnetAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 instructions: "You are an agent that handles .NET related GitHub issues.",
                 name: "DotNetAgent",
                 description: "An agent that handles .NET related issues");

dotnet/samples/GettingStartedWithAgents/Orchestration/Step05_Magentic.cs

@@ -36,7 +36,7 @@ public async Task MagenticTaskAsync(bool streamedResponse)
         // Define the agents
         Kernel researchKernel = CreateKernelWithOpenAIChatCompletion(ResearcherModel);
         ChatCompletionAgent researchAgent =
-            this.CreateAgent(
+            this.CreateChatCompletionAgent(
                 name: "ResearchAgent",
                 description: "A helpful assistant with access to web search. Ask it to perform web searches.",
                 instructions: "You are a Researcher. You find information without additional computation or quantitative analysis.",
@@ -86,7 +86,7 @@ I am preparing a report on the energy efficiency of different machine learning m
             """;
         Console.WriteLine($"\n# INPUT:\n{input}\n");
         OrchestrationResult<string> result = await orchestration.InvokeAsync(input, runtime);
-        string text = await result.GetValueAsync(TimeSpan.FromSeconds(ResultTimeoutInSeconds * 10));
+        string text = await result.GetValueAsync(TimeSpan.FromSeconds(ResultTimeoutInSeconds * 20));
         Console.WriteLine($"\n# RESULT: {text}");
 
         await runtime.RunUntilIdleAsync();