• 列出模型: 获取 DeepSeek 提供的所有可用模型。 • 对话补全（包含流式）: 实现与 DeepSeek 的对话交互，支持实时流式响应。 • FIM实例（包含流式）: 支持 Fine-tuned Inference Model (FIM) 实例的调用，同样支持流式响应。 • 查询余额: 检查账户中的余额，确保有足够的资金进行 API 调用。 • 支持调用本地模型: 可以通过自定义 HttpClient 调用本地部署的 DeepSeek 模型。 • 对 ASP.NET Core 的集成支持: 提供了与 ASP.NET Core 的无缝集成，方便在 Web 应用中使用。

dotnet add package Ater.DeepSeek.AspNetCore

DeepSeekClient

using DeepSeek.AspNetCore;
using DeepSeek.Core;
using DeepSeek.Core.Models;
using Microsoft.AspNetCore.Mvc;

var builder = WebApplication.CreateBuilder(args);

var apiKey = builder.Configuration["DeepSeekApiKey"];
builder.Services.AddDeepSeek(option =>
{
    option.BaseAddress = new Uri("https://api.deepseek.com");
    option.Timeout = TimeSpan.FromSeconds(300);
    option.DefaultRequestHeaders.TryAddWithoutValidation("Authorization", "Bearer " + apiKey);
});

var app = builder.Build();

app.MapGet("/test", async ([FromServices] DeepSeekClient client) =>
{
    var res = await client.ChatAsync(new ChatRequest
    {
        Messages = new List<Message>
        {
            Message.NewUserMessage("Why dotnet is good?")
        },
        MaxTokens = 200
    }, CancellationToken.None);

    return res?.Choices.First().Message?.Content;
});

app.Run();

流式返回

app.MapGet("/chat", async (HttpContext context, [FromServices] DeepSeekClient client, CancellationToken token) =>
{
    context.Response.ContentType = "text/plain;charset=utf-8";
    try
    {
        var choices = client.ChatStreamAsync(new ChatRequest
        {
            Messages = new List<Message>
            {
                Message.NewUserMessage("Why dotnet is good?")
            },
            MaxTokens = 200
        }, token);

        if (choices != null)
        {
            awaitforeach (var choice in choices)
            {
                await context.Response.WriteAsync(choice.Delta!.Content);
            }
        }
    }
    catch (Exception ex)
    {
        await context.Response.WriteAsync("暂时无法提供服务" + ex.Message);
    }
    await context.Response.CompleteAsync();
});

自定义ds

dotnet add package Ater.DeepSeek.Core

var client = new DeepSeekClient(apiKey);
var httpClient = new HttpClient();
var client = new DeepSeekClient(httpClient, apiKey);

列出模型

var modelResponse = await client.ListModelsAsync(CancellationToken.None);
if (modelResponse != null)
{
    foreach (var model in modelResponse.Data)
    {
        Console.WriteLine(model);
    }
}
else
{
    Console.WriteLine(client.ErrorMsg);
}

获取对话

var request = new ChatRequest
{
    Messages = [
        Message.NewSystemMessage("你是一个语言翻译家"),
        Message.NewUserMessage("请翻译'它们害怕极了！'为英语!")
    ],
    Model = Constant.Model.ChatModel
};

var chatResponse = await client.ChatAsync(request, CancellationToken.None);
Console.WriteLine(chatResponse?.Choices.First().Message?.Content);

获取对话（流式）

var choices = client.ChatStreamAsync(request, CancellationToken.None);
await foreach (var choice in choices ?? Enumerable.Empty<Choice>())
{
    Console.Write(choice.Delta?.Content);
}
Console.WriteLine();

调用本地模型

如果需要调用本地部署的模型，可以自定义 HttpClient 并设置 BaseAddress 为本地地址。

var httpClient = new HttpClient
{
    BaseAddress = new Uri("http://localhost:5000"),
    Timeout = TimeSpan.FromSeconds(300),
};
var localClient = new DeepSeekClient(httpClient);
localClient.SetChatEndpoint("/chat");
localClient.SetCompletionEndpoint("/completions");

var res = await localClient.ChatAsync(new ChatRequest
{
    Messages = new List<Message>
    {
        Message.NewUserMessage("hello")
    }
}, CancellationToken.None);
Console.WriteLine(res?.Choices.First().Message?.Content);