本代码实现与deepseek进行聊天，下一节将实现在abp.vnext中使用Milvus 和 DeepSeek 构建检索增强生成（RAG）管道，形成自己的知识库

在application层实现与deepseek聊天

public interface IChatService
{
    /// <summary>
    /// 聊天-回复
    /// </summary>
    /// <param name="userQuestion"></param>
    /// <returns></returns>
    Task<string> ProcessChatAsync(string userQuestion);
}

/// <summary>
/// 调用deepseek进行回复
/// </summary>
public class ChatService : IChatService, ITransientDependency
{
    private readonly IChatClient _chatClient;

    public ChatService(
        IChatClient chatClient)
    {
        _chatClient = chatClient;
    }
    /// <summary>
    /// 聊天-回复
    /// </summary>
    /// <param name="userQuestion"></param>
    /// <returns></returns>
    /// <exception cref="InvalidOperationException"></exception>
    public async Task<string> ProcessChatAsync(string userQuestion)
    {
        var messages = new List<ChatMessage>
        {
            new ChatMessage(ChatRole.System, "你是一个专业的AI助手，请保持回答准确、简洁和相关。"),
            new ChatMessage(ChatRole.User, userQuestion)
        };
        var chatOptions = new ChatOptions
        {
            ModelId = "deepseek-r1:14b",
            Temperature = 0.7f,
            MaxOutputTokens = 2000,
            TopP = 0.9f,
            FrequencyPenalty = 0.1f,
            PresencePenalty = 0.1f,
            ResponseFormat = ChatResponseFormat.Text
        };
        var response = await _chatClient.GetResponseAsync(messages, chatOptions);
        if (response.Choices.Count == 0)
        {
            Console.WriteLine($"回复失败，无返回内容");
        }
        // 处理所有内容类型
        var contentBuilder = new StringBuilder();
        foreach (var content in response.Choices[0].Contents)
        {
            try
            {
                switch (content)
                {
                    case TextContent textContent:
                        contentBuilder.Append(textContent.Text);
                        break;
                    default:
                        Console.WriteLine($"未知的类型{content.GetType().Name}");
                        break;
                }
            }
            catch (Exception ex)
            {
                contentBuilder.Append("[内容处理错误]");
            }
        }
        return contentBuilder.ToString();
    }

}

 public interface IChatAppService
 {
     /// <summary>
     /// 聊天
     /// </summary>
     /// <param name="question"></param>
     /// <returns></returns>
     Task<string> ChatQuestion(string question);
 }

/// <summary>
/// deepseek聊天
/// </summary>
public class ChatAppService : ApplicationService, IChatAppService
{
    private readonly IChatService _chatService;
    /// <summary>
    /// 
    /// </summary>
    public ChatAppService(IChatService chatService)
    {
        _chatService = chatService;
    }

    /// <summary>
    /// 聊天
    /// </summary>
    /// <param name="question"></param>
    /// <returns></returns>
    public async Task<string> ChatQuestion(string question)
    {
        return await _chatService.ProcessChatAsync(question);
    }

}