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chore: import upstream snapshot with attribution
2026-07-13 13:21:23 +08:00

49 lines
1.3 KiB
C#

using System;
using System.Collections.Generic;
using Microsoft.Extensions.AI;
using Microsoft.SemanticKernel;
using Microsoft.SemanticKernel.Connectors.Onnx;
// Path to the folder of your downloaded ONNX CUDA model
// i.e: D:\repo\huggingface\Phi-3-mini-4k-instruct-onnx\cuda\cuda-int4-rtn-block-32
string modelPath = "MODEL_PATH";
IKernelBuilder builder = Kernel.CreateBuilder();
builder.AddOnnxRuntimeGenAIChatClient(
modelPath: modelPath,
// Specify the provider you want to use, e.g., "cuda" for GPU support
// For other execution providers, check: https://onnxruntime.ai/docs/genai/reference/config#provideroptions
providers: [new Provider("cuda")] //
);
Kernel kernel = builder.Build();
using IChatClient chatClient = kernel.GetRequiredService<IChatClient>();
List<ChatMessage> chatHistory = [];
while (true)
{
Console.Write("User > ");
string userMessage = Console.ReadLine()!;
if (string.IsNullOrEmpty(userMessage))
{
break;
}
chatHistory.Add(new ChatMessage(ChatRole.User, userMessage));
try
{
ChatResponse result = await chatClient.GetResponseAsync(chatHistory, new() { MaxOutputTokens = 1024 });
Console.WriteLine($"Assistant > {result.Text}");
chatHistory.AddRange(result.Messages);
}
catch (Exception e)
{
Console.WriteLine(e.Message);
}
}