Using Handlebar Prompt in Semantic Kernal

>dotnet add package Microsoft.SemanticKernel.PromptTemplates.Handlebars --version 1.30.0

using Microsoft.SemanticKernel;

using Microsoft.SemanticKernel.PromptTemplates.Handlebars;

// Populate values from your OpenAI deployment

var modelId = "";

var endpoint = "";

var apiKey = "";

// Create a kernel with Azure OpenAI chat completion

var builder = Kernel.CreateBuilder();

builder.AddAzureOpenAIChatCompletion(modelId, endpoint, apiKey);

// Build the kernel

Kernel kernel = builder.Build();

string prompt = """

    <message role="system">Instructions: Identify the from and to destinations

    and dates from the user's request</message>

    <message role="user">Can you give me a list of flights from Seattle to Tokyo?

    I want to travel from March 11 to March 18.</message>

    <message role="assistant">

    Origin: Seattle

    Destination: Tokyo

    Depart: 03/11/2025

    Return: 03/18/2025

    </message>

    <message role="user">{{input}}</message>

    """;

string input = "I want to travel from June 1 to July 22. I want to go to Greece. I live in Chicago.";

// Create the kernel arguments

var arguments = new KernelArguments { ["input"] = input };

// Create the prompt template config using handlebars format

var templateFactory = new HandlebarsPromptTemplateFactory();

var promptTemplateConfig = new PromptTemplateConfig()

{

    Template = prompt,

    TemplateFormat = "handlebars",

    Name = "FlightPrompt",

};

// Invoke the prompt function

var function = kernel.CreateFunctionFromPrompt(promptTemplateConfig, templateFactory);

var response = await kernel.InvokeAsync(function, arguments);

Console.WriteLine(response);