increase http retries, add the Dev Improve skill. Experimental.

cli/Program.cs

@@ -6,6 +6,7 @@ using Microsoft.SemanticKernel.Connectors.AI.OpenAI.TextEmbedding;
 using Microsoft.SemanticKernel.Connectors.Memory.Qdrant;
 using Microsoft.SemanticKernel.Memory;
 using Microsoft.SemanticKernel.Orchestration;
+using Microsoft.SemanticKernel.Reliability;
 using skills;
 
 class Program
@@ -31,7 +32,18 @@ class Program
                             .WithLogger(loggerFactory.CreateLogger<IKernel>())
                             .WithAzureChatCompletionService(kernelSettings.DeploymentOrModelId, kernelSettings.Endpoint, kernelSettings.ApiKey, true, kernelSettings.ServiceId, true)
                             .WithMemory(semanticTextMemory)
-                            .WithConfiguration(kernelConfig).Build();
+                            .WithConfiguration(kernelConfig)
+                            .Configure(c => c.SetDefaultHttpRetryConfig(new HttpRetryConfig
+                            {
+                                MaxRetryCount = 6,
+                                UseExponentialBackoff = true,
+                                //  MinRetryDelay = TimeSpan.FromSeconds(2),
+                                //  MaxRetryDelay = TimeSpan.FromSeconds(8),
+                                //  MaxTotalRetryTime = TimeSpan.FromSeconds(30),
+                                //  RetryableStatusCodes = new[] { HttpStatusCode.TooManyRequests, HttpStatusCode.RequestTimeout },
+                                //  RetryableExceptions = new[] { typeof(HttpRequestException) }
+                            }))
+                            .Build();
 
 
         var fileOption = new Option<FileInfo?>(
@@ -93,9 +105,10 @@ class Program
             (step) => step.subtasks.Select(
                 async (subtask) => {
                         var implementationResult = await CallFunction<string>(nameof(Developer), Developer.Implement, subtask.LLM_prompt, kernel);
+                        var improvementResult = await CallFunction<string>(nameof(Developer), Developer.Improve, subtask.LLM_prompt, kernel); 
                         await sandboxSkill.RunInDotnetAlpineAsync(implementationResult);
-                        await SaveToFile(Path.Combine(outputPath.FullName, $"{step.step}-{subtask.subtask}.sh"), implementationResult);
-                        return implementationResult; }));
+                        await SaveToFile(Path.Combine(outputPath.FullName, $"{step.step}-{subtask.subtask}.sh"), improvementResult);
+                        return improvementResult; }));
         await Task.WhenAll(implementationTasks);
     }
 
@@ -139,4 +152,4 @@ class Program
 
 public static class PM { public static string Readme = "Readme"; public static string BootstrapProject = "BootstrapProject"; }
 public static class DevLead { public static string Plan="Plan"; }
-public static class Developer { public static string Implement="Implement"; }
+public static class Developer { public static string Implement="Implement"; public static string Improve="Improve";}

cli/util/ReactChatAppPrompt.txt

@@ -0,0 +1,8 @@
+I'd like to build a typical Chat Message Applicaton: a simple chat app in React Native that allows the user to manage multiple chat threads.  
+Each thred is a different conversation. The app can look very similar to Apple iMessage. 
+Key features of the Chat Message application include the ability to create a new chat thread, view the messages in each thread, and to edite and send a new message. 
+The frontend for the app will be in typescript and React Native, the backend will be in C# as an Azure Function.
+The backend will use a mock function to generate random responses.  The backend will store the chats in an Azure CosmosDB. 
+The application will have a setup for local testing and development that allows testing without deployment to Azure. 
+Use bicep scripts to create the Azure resources. 
+The front end should be able to run entirely in the browser. 

skills/Developer.cs

@@ -21,4 +21,27 @@ public static class Developer {
         PPenalty = 0.0,
         FPenalty = 0.0
     };
+
+    public static SemanticFunctionConfig Improve = new SemanticFunctionConfig
+    {
+        PromptTemplate = """
+        You are a Developer for an application. Your job is to imrove the code that you are given in the input below. 
+        Please output a new version of code that fixes any problems with this version. 
+        If there is an error message in the input you should fix that error in the code. 
+        Wrap the code output up in a bash script that creates the necessary files by overwriting any previous files. 
+        Do not use any IDE commands and do not build and run the code.
+        Make specific choices about implementation. Do not offer a range of options.
+        Use comments in the code to describe the intent. Do not include other text other than code and code comments.
+        Input: {{$input}}
+        {{$wafContext}}
+        """,
+        Name = nameof(Improve),
+        SkillName = nameof(Developer),
+        Description = "From a description of a coding task out put the code or scripts necessary to complete the task.",
+        MaxTokens = 6500,
+        Temperature = 0.0,
+        TopP = 0.0,
+        PPenalty = 0.0,
+        FPenalty = 0.0
+    };
 }

skills/SemanticFunctionConfig.cs

@@ -18,6 +18,7 @@ public class SemanticFunctionConfig
         (nameof(PM), nameof(PM.Readme)) => PM.Readme,
         (nameof(DevLead), nameof(DevLead.Plan)) => DevLead.Plan,
         (nameof(Developer), nameof(Developer.Implement)) => Developer.Implement,
+        (nameof(Developer), nameof(Developer.Improve)) => Developer.Improve,
         _ => throw new ArgumentException($"Unable to find {skillName}.{functionName}")
     };
 }