semantic kernel using google gemini chat competion in C#

We can easily implement Gemini Google Chat completion in Semantic Kernel using C#. 

First we need to create a new dotnet project

dotnet new console 

Next we will add the packages from the command line 

dotnet add package Microsoft.SemanticKernel

dotnet add package Microsoft.Extensions.Logging

dotnet add package Microsoft.Extensions.Logging.Console

dotnet add package Microsoft.SemanticKernel.Connectors.Google --prerelease

And finally this code here 

// Import packages

using Microsoft.Extensions.DependencyInjection;

using Microsoft.Extensions.Logging;

using Microsoft.SemanticKernel;

using Microsoft.SemanticKernel.ChatCompletion;

using Microsoft.SemanticKernel.Connectors.OpenAI;

using Microsoft.SemanticKernel;

using Microsoft.SemanticKernel.Connectors.Google;

var modelId = "gemini-2.5-flash-lite";

var serviceId = "service-id";

var apiKey = "";

// Create a kernel with Azure OpenAI chat completion

var builder = Kernel.CreateBuilder().AddGoogleAIGeminiChatCompletion(modelId: modelId, serviceId: serviceId, apiVersion: GoogleAIVersion.V1,apiKey: apiKey, httpClient: new HttpClient() );

// Add enterprise components

builder.Services.AddLogging(services => services.AddConsole().SetMinimumLevel(LogLevel.Trace));

// Build the kernel

Kernel kernel = builder.Build();

var chatCompletionService = kernel.GetRequiredService<IChatCompletionService>();

// Enable planning

OpenAIPromptExecutionSettings openAIPromptExecutionSettings = new() 

{

    FunctionChoiceBehavior = FunctionChoiceBehavior.Auto()

};

ChatHistory history = [];

history.AddUserMessage("Hello, how are you?");

var response = chatCompletionService.GetStreamingChatMessageContentsAsync(

    chatHistory: history,

    kernel: kernel

);

await foreach (var chunk in response)

{

    Console.Write(chunk);

}

And if you do a dotnet run