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using AI.Models ;
using System ;
using System.Collections.Generic ;
using System.Linq ;
using System.Text ;
using System.Threading ;
using System.Threading.Tasks ;
namespace AI.Interface
{
public interface IChatBackend
{
/// <summary>
/// 向模型发送自然语言请求。发给 LLM 的历史由 session.GetHistoryForLlm(guidePrompt) 从会话存储生成。
/// </summary>
/// <param name="userMessage">用户消息</param>
/// <param name="session">聊天会话。如果为 null，
/// <param name="guidePrompt">可选 System 引导词；若提供则在生成的 History 开头插入</param>
/// <param name="cancellationToken">取消令牌，用于取消请求或配合超时</param>
/// <returns>模型的响应文本</returns>
Task < string > AskAsync ( string userMessage , ChatSession ? session = null , string? guidePrompt = null , CancellationToken cancellationToken = default ) ;
/// <summary>
/// 流式向模型发送自然语言请求。发给 LLM 的历史由 session.GetHistoryForLlm(guidePrompt) 从会话存储生成。
/// </summary>
/// <param name="userMessage">用户消息</param>
/// <param name="session">聊天会话。如果为 null，
/// <param name="guidePrompt">可选 System 引导词</param>
/// <param name="cancellationToken">取消令牌，用于取消请求或配合超时</param>
/// <returns>流式返回模型的响应文本片段</returns>
IAsyncEnumerable < string > AskStreamAsync ( string userMessage , ChatSession ? session = null , string? guidePrompt = null , CancellationToken cancellationToken = default ) ;
}
}