Semantic Kernel Integration

using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.ChatCompletion;
using DotNetEnv;

Env.Load();
var planckApiKey = Environment.GetEnvironmentVariable("PLANCK_API_KEY");

var builder = Kernel.CreateBuilder();
builder.AddOpenAIChatCompletion(
    modelId: "gpt-4.1-mini",
    apiKey: planckApiKey,
    endpoint: new Uri("https://api.inquantum.ai/v1")
);

var kernel = builder.Build();

import os
import semantic_kernel as sk
from semantic_kernel.connectors.ai.open_ai import OpenAIChatCompletion

planck_api_key = os.getenv("PLANCK_API_KEY")
kernel = sk.Kernel()

kernel.add_service(
    OpenAIChatCompletion(
        service_id="planck-gateway",
        ai_model_id="gpt-4.1-mini",
        api_key=planck_api_key,
        endpoint="https://api.inquantum.ai/v1",
    )
)

var chatService = kernel.GetRequiredService<IChatCompletionService>();
var chatHistory = new ChatHistory();
chatHistory.AddUserMessage("What is the capital of France?");

var response = await chatService.GetChatMessageContentAsync(chatHistory);
Console.WriteLine(response.Content);

from semantic_kernel.contents import ChatHistory

chat_service = kernel.get_service("planck-gateway")
chat_history = ChatHistory()
chat_history.add_user_message("What is the capital of France?")

response = await chat_service.get_chat_message_content(
    chat_history=chat_history
)
print(response.content)