Semantic Kernel：接入azure中的deepseek-r1

SemanticKernel已经支持deepseek-r1了，官方的Blog地址是https://devblogs.microsoft.com/semantic-kernel/using-deepseek-models-in-semantic-kernel，同时给出了接入的Demo，遗憾的是deepseek不支持API的充值，没有办法测试。
办法总比困难多，正好微软现在支持在Azure部署deepseek-r1了，具体部署方法官方有具体的方式方法，见下面的url：
https://azure.microsoft.com/en-us/blog/deepseek-r1-is-now-available-on-azure-ai-foundry-and-github/
与此同时，Azure上的给Demo如下：
var apiKey = File.ReadAllText(“C:/gpt/deepseekkey.txt”);
var handler = new HttpClientHandler()
{
ClientCertificateOptions = ClientCertificateOption.Manual,
ServerCertificateCustomValidationCallback =
(httpRequestMessage, cert, cetChain, policyErrors) => { return true; }
};
using (var client = new HttpClient(handler))
{
var requestBody = @”{
“”messages””: [
{
“”role””: “”user””,
“”content””: “”你是谁？””
}
],
“”max_tokens””: 2048
}”;

client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);
client.BaseAddress = new Uri("https://DeepSeek-R1-iwztj.eastus2.models.ai.azure.com/chat/completions");

var content = new StringContent(requestBody);
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");

HttpResponseMessage response = await client.PostAsync("", content);

if (response.IsSuccessStatusCode)
{
    string result = await response.Content.ReadAsStringAsync();
    var ent = System.Text.Json.JsonSerializer.Deserialize<ChatCompletionResponse>(result, new System.Text.Json.JsonSerializerOptions { PropertyNameCaseInsensitive = true });
    foreach (var choice in ent.Choices)
    {
        Console.WriteLine("Result: {0}", choice.Message.Content);
    }
}
else
{
    Console.WriteLine(string.Format("The request failed with status code: {0}", response.StatusCode));
    Console.WriteLine(response.Headers.ToString());

    Console.WriteLine("错误");
}

}

public class ChatCompletionResponse
{
public List Choices { get; set; }
public long Created { get; set; }
public string Id { get; set; }
public string Model { get; set; }
public string Object { get; set; }
public List PromptFilterResults { get; set; }
public Usage Usage { get; set; }
}

public class Choice
{
public ContentFilterResults ContentFilterResults { get; set; }
public string FinishReason { get; set; }
public int Index { get; set; }
public Message Message { get; set; }
}

public class ContentFilterResults
{
public FilterStatus Hate { get; set; }
public FilterStatus SelfHarm { get; set; }
public FilterStatus Sexual { get; set; }
public FilterStatus Violence { get; set; }
}

public class FilterStatus
{
public bool Filtered { get; set; }
public string Severity { get; set; }
}

public class Message
{
public string Content { get; set; }
public string ReasoningContent { get; set; }
public string Role { get; set; }
public object ToolCalls { get; set; }
}

public class PromptFilterResult
{
public int PromptIndex { get; set; }
public ContentFilterResults ContentFilterResults { get; set; }
}

public class Usage
{
public int CompletionTokens { get; set; }
public int PromptTokens { get; set; }
public object PromptTokensDetails { get; set; }
public int TotalTokens { get; set; }
}
结果如下：

换成SK的对接方式如下：
var apiKey = File.ReadAllText(“C:/gpt/deepseekkey.txt”);
var chatCompletionService = new OpenAIChatCompletionService(
endpoint: new Uri(“https://DeepSeek-R1-iwztj.eastus2.models.ai.azure.com/”),
apiKey: apiKey,
modelId: “deepseek-chat”
);
var chatHistory = new ChatHistory();
chatHistory.AddUserMessage(“你好，你是谁?”);
var reply = await chatCompletionService.GetChatMessageContentAsync(chatHistory);
Console.WriteLine(reply);
结果如下：