feat: 新增agent接口

Yi.Abp.Net8/module/ai-hub/Yi.Framework.AiHub.Application/Services/Chat/AiChatService.cs

@@ -145,21 +145,14 @@ public class AiChatService : ApplicationService
             }
         }
 
-        // 判断是否有工具调用
-        if (input.Tools != null && input.Tools.Count > 0)
-        {
-            // 使用 ChatManager 处理支持工具调用的对话
-            await _chatManager.CompleteChatWithToolsAsync(_httpContextAccessor.HttpContext, input,
-                CurrentUser.Id, sessionId, null, cancellationToken);
-        }
-        else
-        {
-            // 使用原来的 AiGateWayManager 处理普通对话
-            await _aiGateWayManager.CompleteChatStreamForStatisticsAsync(_httpContextAccessor.HttpContext, input,
-                CurrentUser.Id, sessionId, null, cancellationToken);
-        }
+        // 使用 ChatManager
     }
     
+    [HttpPost("ai-chat/agent/send")]
+    public async Task PostAgentSendAsync()
+    {
+        await _chatManager.CompleteChatStreamAsync();
+    }
 
     /// <summary>
     /// 发送消息
@@ -215,7 +208,9 @@ public class AiChatService : ApplicationService
                 mcpTools.add(McpServerTool.Create(toolMethod, instance));
             }
         }
-        var json = System.Text.Json.JsonSerializer.Serialize(mcpTools.Select(x=>x.ProtocolTool).ToList(),McpJsonUtilities.DefaultOptions);
+
+        var json = System.Text.Json.JsonSerializer.Serialize(mcpTools.Select(x => x.ProtocolTool).ToList(),
+            McpJsonUtilities.DefaultOptions);
         return json;
     }
 }

Yi.Abp.Net8/module/ai-hub/Yi.Framework.AiHub.Domain/Managers/AiGateWayManager.cs

@@ -62,7 +62,7 @@ public class AiGateWayManager : DomainService
     /// <param name="modelApiType"></param>
     /// <param name="modelId"></param>
     /// <returns></returns>
-    private async Task<AiModelDescribe> GetModelAsync(ModelApiTypeEnum modelApiType, string modelId)
+    public async Task<AiModelDescribe> GetModelAsync(ModelApiTypeEnum modelApiType, string modelId)
     {
         var aiModelDescribe = await _aiModelRepository._DbQueryable
             .LeftJoin<AiAppAggregateRoot>((model, app) => model.AiAppId == app.Id)

Yi.Abp.Net8/module/ai-hub/Yi.Framework.AiHub.Domain/Managers/ChatManager.cs

@@ -1,326 +1,97 @@
-using System.Collections.Concurrent;
-using System.Text;
-using System.Text.Json;
-using Microsoft.AspNetCore.Http;
+using System.ClientModel;
+using System.Reflection;
+using Dm.util;
+using Microsoft.Agents.AI;
+using Microsoft.Extensions.AI;
 using Microsoft.Extensions.DependencyInjection;
 using Microsoft.Extensions.Logging;
-using Newtonsoft.Json;
-using Newtonsoft.Json.Serialization;
+using ModelContextProtocol.Server;
+using OpenAI;
 using Volo.Abp.Domain.Services;
-using Yi.Framework.AiHub.Domain.AiGateWay;
-using Yi.Framework.AiHub.Domain.Entities;
-using Yi.Framework.AiHub.Domain.Entities.Model;
-using Yi.Framework.AiHub.Domain.Shared.Dtos;
-using Yi.Framework.AiHub.Domain.Shared.Dtos.OpenAi;
-using Yi.Framework.AiHub.Domain.Shared.Enums;
-using Yi.Framework.SqlSugarCore.Abstractions;
-using ThorJsonSerializer = Yi.Framework.AiHub.Domain.AiGateWay.ThorJsonSerializer;
 
 namespace Yi.Framework.AiHub.Domain.Managers;
 
 public class ChatManager : DomainService
 {
     private readonly AiGateWayManager _aiGateWayManager;
-    private readonly ISqlSugarRepository<AiModelEntity> _aiModelRepository;
-    private readonly ILogger<ChatManager> _logger;
-    private readonly AiMessageManager _aiMessageManager;
-    private readonly UsageStatisticsManager _usageStatisticsManager;
-
-    public ChatManager(
-        AiGateWayManager aiGateWayManager,
-        ISqlSugarRepository<AiModelEntity> aiModelRepository,
-        ILogger<ChatManager> logger,
-        AiMessageManager aiMessageManager,
-        UsageStatisticsManager usageStatisticsManager)
+    private readonly ILoggerFactory _loggerFactory;
+    public ChatManager(AiGateWayManager aiGateWayManager, ILoggerFactory loggerFactory)
     {
         _aiGateWayManager = aiGateWayManager;
-        _aiModelRepository = aiModelRepository;
-        _logger = logger;
-        _aiMessageManager = aiMessageManager;
-        _usageStatisticsManager = usageStatisticsManager;
+        _loggerFactory = loggerFactory;
     }
 
-    /// <summary>
-    /// 支持工具调用的流式对话
-    /// </summary>
-    /// <param name="httpContext"></param>
-    /// <param name="request"></param>
-    /// <param name="userId"></param>
-    /// <param name="sessionId"></param>
-    /// <param name="tokenId"></param>
-    /// <param name="cancellationToken"></param>
-    public async Task CompleteChatWithToolsAsync(
-        HttpContext httpContext,
-        ThorChatCompletionsRequest request,
-        Guid? userId = null,
-        Guid? sessionId = null,
-        Guid? tokenId = null,
-        CancellationToken cancellationToken = default)
+    public async Task CompleteChatStreamAsync()
     {
-        var response = httpContext.Response;
-        // 设置响应头，声明是 SSE 流
-        response.ContentType = "text/event-stream;charset=utf-8;";
-        response.Headers.TryAdd("Cache-Control", "no-cache");
-        response.Headers.TryAdd("Connection", "keep-alive");
+        //token可以用户传进来
+        // HttpClient.DefaultProxy = new WebProxy("127.0.0.1:8888");
+        var modelId = "gpt-5.2-chat";
+        var client = new OpenAIClient(new ApiKeyCredential("xxx"), new OpenAIClientOptions
+        {
+            Endpoint = new Uri("https://yxai.chat/v1"),
+        });
+        var agent = client.GetChatClient(modelId)
+            .AsIChatClient() // Converts a native OpenAI SDK ChatClient into a Microsoft.Extensions.AI.IChatClient
+            .CreateAIAgent("你是一个专业的网页ai助手") ;
 
-        var modelDescribe = await GetModelAsync(ModelApiTypeEnum.OpenAi, request.Model);
-        var chatService = LazyServiceProvider.GetRequiredKeyedService<IChatCompletionService>(modelDescribe.HandlerName);
         
-        var tokenUsage = new ThorUsageResponse();
-        var messageQueue = new ConcurrentQueue<string>();
-        var backupSystemContent = new StringBuilder();
-        var isComplete = false;
+        var thread = agent.GetNewThread();
 
-        // 启动后台任务来消费队列
-        var outputTask = Task.Run(async () =>
+        var tools = GetTools();
+        var chatOptions = new ChatOptions()
         {
-            while (!(isComplete && messageQueue.IsEmpty))
-            {
-                if (messageQueue.TryDequeue(out var message))
-                {
-                    await response.WriteAsync(message, Encoding.UTF8, cancellationToken).ConfigureAwait(false);
-                    await response.Body.FlushAsync(cancellationToken).ConfigureAwait(false);
-                }
+            Tools = tools.Select(x => (AITool)x).ToList(),
+            ToolMode = ChatToolMode.Auto
+        };
         
-                if (!isComplete)
+        await foreach (var update in agent.RunStreamingAsync("联网搜索一下，奥德赛第一中学学生会会长是谁", thread,
+                           new ChatClientAgentRunOptions(chatOptions)))
         {
-                    await Task.Delay(TimeSpan.FromMilliseconds(75), cancellationToken).ConfigureAwait(false);
-                }
-                else
+            // 检查每个更新中的内容  
+            foreach (var content in update.Contents)
             {
-                    await Task.Delay(10, cancellationToken).ConfigureAwait(false);
-                }
-            }
-        }, cancellationToken);
-
-        try
-        {
-            // 多轮工具调用循环
-            var conversationMessages = request.Messages ?? new List<ThorChatMessage>();
-            var maxIterations = 10; // 防止无限循环
-            var currentIteration = 0;
-
-            while (currentIteration < maxIterations)
-            {
-                currentIteration++;
-
-                // 更新请求消息
-                request.Messages = conversationMessages;
-
-                // 调用 AI API
-                var completeChatResponse = chatService.CompleteChatStreamAsync(modelDescribe, request, cancellationToken);
-
-                var currentToolCalls = new List<ThorToolCall>();
-                var hasToolCalls = false;
-                var currentContent = new StringBuilder();
-
-                await foreach (var data in completeChatResponse)
-                {
-                    data.SupplementalMultiplier(modelDescribe.Multiplier);
-
-                    if (data.Usage is not null && (data.Usage.CompletionTokens > 0 || data.Usage.OutputTokens > 0))
-                    {
-                        tokenUsage = data.Usage;
-                    }
-
-                    // 检查是否有工具调用
-                    if (data.Choices?.FirstOrDefault()?.Delta?.ToolCalls != null)
-                    {
-                        hasToolCalls = true;
-                        foreach (var toolCall in data.Choices.First().Delta.ToolCalls)
-                        {
-                            // 累积工具调用信息
-                            var existingToolCall = currentToolCalls.FirstOrDefault(tc => tc.Id == toolCall.Id);
-                            if (existingToolCall == null)
-                            {
-                                currentToolCalls.Add(toolCall);
-                            }
-                            else
-                            {
-                                // 合并工具调用的 arguments（流式返回可能是分片的）
-                                if (existingToolCall.Function != null && toolCall.Function?.Arguments != null)
-                                {
-                                    existingToolCall.Function.Arguments += toolCall.Function.Arguments;
-                                }
-                            }
-                        }
-                    }
-
-                    // 检查 finish_reason
-                    var finishReason = data.Choices?.FirstOrDefault()?.FinishReason;
-                    if (finishReason == "tool_calls")
-                    {
-                        hasToolCalls = true;
-                    }
-
-                    // 累积内容
-                    var content = data.Choices?.FirstOrDefault()?.Delta.Content;
-                    if (!string.IsNullOrEmpty(content))
-                    {
-                        currentContent.Append(content);
-                    }
-
-                    var message = System.Text.Json.JsonSerializer.Serialize(data, ThorJsonSerializer.DefaultOptions);
-                    backupSystemContent.Append(content);
-                    messageQueue.Enqueue($"data: {message}\n\n");
-                }
-
-                // 如果没有工具调用，结束循环
-                if (!hasToolCalls || currentToolCalls.Count == 0)
+                switch (content)
                 {
+                    case FunctionCallContent functionCall:
+                        Console.WriteLine();
+                        Console.WriteLine(
+                            $"🔧 工具调用开始: {functionCall.CallId},{functionCall.Name},{functionCall.Arguments}");
+                        break;
+                    case FunctionResultContent functionResult:
+                        Console.WriteLine();
+                        Console.WriteLine($"✅ 工具调用完成: {functionResult.CallId}，{functionResult.Result}");
+                        break;
+                    case TextContent textContent:
+                        Console.Write($"{textContent.Text}");
+                        break;
+                    case UsageContent usageContent:
+                        Console.WriteLine();
+                        Console.WriteLine($"✅ 用量统计: {usageContent.Details.TotalTokenCount}");
                         break;
                 }
-
-                // 发送工具调用状态消息
-                var toolCallStatusMessage = new
-                {
-                    type = "tool_call_status",
-                    status = "calling_tools",
-                    tool_calls = currentToolCalls
-                };
-                var statusJson = System.Text.Json.JsonSerializer.Serialize(toolCallStatusMessage, ThorJsonSerializer.DefaultOptions);
-                messageQueue.Enqueue($"data: {statusJson}\n\n");
-
-                // 将 AI 的工具调用消息添加到历史
-                conversationMessages.Add(new ThorChatMessage
-                {
-                    Role = ThorChatMessageRoleConst.Assistant,
-                    Content = currentContent.ToString(),
-                    ToolCalls = currentToolCalls
-                });
-
-                // 执行工具调用
-                foreach (var toolCall in currentToolCalls)
-                {
-                    try
-                    {
-                        // TODO: 实现 MCP 工具调用逻辑
-                        // 这里需要根据 toolCall.Function.Name 和 toolCall.Function.Arguments 调用相应的工具
-                        // 示例：
-                        // var toolResult = await InvokeMcpToolAsync(toolCall.Function.Name, toolCall.Function.Arguments, cancellationToken);
-
-                        var toolResult = "TODO: 实现 MCP 工具调用";
-
-                        // 将工具结果添加到消息历史
-                        conversationMessages.Add(ThorChatMessage.CreateToolMessage(toolResult, toolCall.Id));
-
-                        // 发送工具执行结果消息
-                        var toolResultMessage = new
-                        {
-                            type = "tool_call_result",
-                            tool_call_id = toolCall.Id,
-                            tool_name = toolCall.Function?.Name,
-                            result = toolResult
-                        };
-                        var resultJson = System.Text.Json.JsonSerializer.Serialize(toolResultMessage, ThorJsonSerializer.DefaultOptions);
-                        messageQueue.Enqueue($"data: {resultJson}\n\n");
-                    }
-                    catch (Exception ex)
-                    {
-                        _logger.LogError(ex, $"工具调用失败: {toolCall.Function?.Name}");
-
-                        // 将错误信息添加到消息历史
-                        var errorMessage = $"工具调用失败: {ex.Message}";
-                        conversationMessages.Add(ThorChatMessage.CreateToolMessage(errorMessage, toolCall.Id));
-
-                        // 发送工具执行错误消息
-                        var toolErrorMessage = new
-                        {
-                            type = "tool_call_error",
-                            tool_call_id = toolCall.Id,
-                            tool_name = toolCall.Function?.Name,
-                            error = errorMessage
-                        };
-                        var errorJson = System.Text.Json.JsonSerializer.Serialize(toolErrorMessage, ThorJsonSerializer.DefaultOptions);
-                        messageQueue.Enqueue($"data: {errorJson}\n\n");
-                    }
-                }
-
-                // 继续下一轮对话，让 AI 根据工具结果生成回复
-            }
-        }
-        catch (Exception e)
-        {
-            _logger.LogError(e, $"AI对话异常");
-            var errorContent = $"对话AI异常，异常信息：\n当前AI模型：{request.Model}\n异常信息：{e.Message}\n异常堆栈：{e}";
-            var model = new ThorChatCompletionsResponse()
-            {
-                Choices = new List<ThorChatChoiceResponse>()
-                {
-                    new ThorChatChoiceResponse()
-                    {
-                        Delta = new ThorChatMessage()
-                        {
-                            Content = errorContent
             }
         }
     }
-            };
-            var message = JsonConvert.SerializeObject(model, new JsonSerializerSettings
+
+
+    private List<AIFunction> GetTools()
     {
-                ContractResolver = new CamelCasePropertyNamesContractResolver()
-            });
-            backupSystemContent.Append(errorContent);
-            messageQueue.Enqueue($"data: {message}\n\n");
+        var toolClasses = typeof(YiFrameworkAiHubDomainModule).Assembly.GetTypes()
+            .Where(x => x.GetCustomAttribute<McpServerToolTypeAttribute>() is not null)
+            .ToList();
+
+        List<AIFunction> mcpTools = new List<AIFunction>();
+        foreach (var toolClass in toolClasses)
+        {
+            var instance = LazyServiceProvider.GetRequiredService(toolClass);
+            var toolMethods = toolClass.GetMethods()
+                .Where(y => y.GetCustomAttribute<McpServerToolAttribute>() is not null).ToList();
+            foreach (var toolMethod in toolMethods)
+            {
+                mcpTools.add(AIFunctionFactory.Create(toolMethod, instance));
+            }
         }
 
-        // 断开连接
-        messageQueue.Enqueue("data: [DONE]\n\n");
-        isComplete = true;
-
-        await outputTask;
-
-        // 保存消息和统计信息
-        await _aiMessageManager.CreateUserMessageAsync(userId, sessionId,
-            new Shared.Dtos.MessageInputDto
-            {
-                Content = sessionId is null ? "不予存储" : request.Messages?.LastOrDefault()?.MessagesStore ?? string.Empty,
-                ModelId = request.Model,
-                TokenUsage = tokenUsage,
-            }, tokenId);
-
-        await _aiMessageManager.CreateSystemMessageAsync(userId, sessionId,
-            new Shared.Dtos.MessageInputDto
-            {
-                Content = sessionId is null ? "不予存储" : backupSystemContent.ToString(),
-                ModelId = request.Model,
-                TokenUsage = tokenUsage
-            }, tokenId);
-
-        await _usageStatisticsManager.SetUsageAsync(userId, request.Model, tokenUsage, tokenId);
-    }
-
-    /// <summary>
-    /// 获取模型
-    /// </summary>
-    private async Task<AiModelDescribe> GetModelAsync(ModelApiTypeEnum modelApiType, string modelId)
-    {
-        var aiModelDescribe = await _aiModelRepository._DbQueryable
-            .LeftJoin<AiAppAggregateRoot>((model, app) => model.AiAppId == app.Id)
-            .Where((model, app) => model.ModelId == modelId)
-            .Where((model, app) => model.ModelApiType == modelApiType)
-            .Select((model, app) =>
-                new AiModelDescribe
-                {
-                    AppId = app.Id,
-                    AppName = app.Name,
-                    Endpoint = app.Endpoint,
-                    ApiKey = app.ApiKey,
-                    OrderNum = model.OrderNum,
-                    HandlerName = model.HandlerName,
-                    ModelId = model.ModelId,
-                    ModelName = model.Name,
-                    Description = model.Description,
-                    AppExtraUrl = app.ExtraUrl,
-                    ModelExtraInfo = model.ExtraInfo,
-                    Multiplier = model.Multiplier
-                })
-            .FirstAsync();
-        if (aiModelDescribe is null)
-        {
-            throw new UserFriendlyException($"【{modelId}】模型当前版本【{modelApiType}】格式不支持");
-        }
-
-        return aiModelDescribe;
+        return mcpTools;
     }
 }

Yi.Abp.Net8/module/ai-hub/Yi.Framework.AiHub.Domain/Mcp/OnlineSearchTool.cs

@@ -8,8 +8,8 @@ namespace Yi.Framework.AiHub.Domain.Mcp;
 public class OnlineSearchTool:ISingletonDependency
 {
     [McpServerTool, Description("进行在线搜索")]
-    public void OnlineSearch()
+    public string OnlineSearch(string keyword)
     {
-        
+        return "xxx";
     }
 }

Yi.Abp.Net8/module/ai-hub/Yi.Framework.AiHub.Domain/Yi.Framework.AiHub.Domain.csproj

@@ -3,6 +3,7 @@
   <ItemGroup>
     <PackageReference Include="AlipayEasySDK" Version="2.1.3" />
     <PackageReference Include="Azure.AI.OpenAI" Version="2.2.0-beta.4" />
+    <PackageReference Include="Microsoft.Agents.AI.OpenAI" Version="1.0.0-preview.251219.1" />
     <PackageReference Include="ModelContextProtocol.Core" Version="0.5.0-preview.1" />
     <PackageReference Include="Volo.Abp.Ddd.Domain" Version="$(AbpVersion)" />
     <PackageReference Include="Volo.Abp.DistributedLocking" Version="$(AbpVersion)" />