public SemanticKernelService()

in ChatBot/SemanticKernel/SemanticKernelService.cs [17:42]

• 12 lines of code
• 1 McCabe index (conditional complexity)

        public SemanticKernelService()
        {
            _chatHistory = new ChatHistory();

            // Step 1: Create the Kernel Builder
            var kernelBuilder = Kernel.CreateBuilder();

            // Step 2: Add Azure OpenAI chat completion to the Kernel
            // When using this sample code, please make sure to provide the following parameters:
            // - modelId: The name of your deployed model in Azure OpenAI (e.g., gpt-35-turbo)
            // - endpoint: The endpoint URL of your Azure OpenAI resource (starts with https)
            // - apiKey: The access key for your Azure OpenAI service
            var modelId = "";
            var endpoint = "";
            var apiKey = "";
            kernelBuilder.AddAzureOpenAIChatCompletion(modelId, endpoint, apiKey);

            // Step 3: Add the plugin to the kernel
            kernelBuilder.Plugins.AddFromType<OrderManagementPlugin>("OrderManagement");

            // Step 4: Create the Kernel
            _kernel = kernelBuilder.Build();

            // Step 5: Get the chat completion service
            _chatCompletionService = _kernel.GetRequiredService<IChatCompletionService>();    
        }