feat: 优化追问功能 - LLM智能生成 + 显示位置修复

- 修复 AuthLoader 组件中 router.push 在渲染期间调用的 React 警告
- 追问问题改为只在最新 AI 回复下方显示（修复多处显示问题）
- 新增 LLM 生成追问 API：POST /api/v1/apps/{id}/suggestions
- 前端调用 LLM API 生成智能追问，失败时降级到规则生成
- 登录页填入默认测试账号 kj-admin@govai.gov.cn

apps/web/src/app/(auth)/login/page.tsx

@@ -20,8 +20,8 @@ import {
 } from "lucide-react";
 
 export default function LoginPage() {
-  const [email, setEmail] = useState("");
-  const [password, setPassword] = useState("");
+  const [email, setEmail] = useState("kj-admin@govai.gov.cn");
+  const [password, setPassword] = useState("admin123");
   const [loading, setLoading] = useState(false);
   const [errorMsg, setErrorMsg] = useState("");
   const [orgs, setOrgs] = useState<Organization[]>([]);

apps/web/src/components/app-ui/agent-ui.tsx

@@ -140,6 +140,7 @@ interface AgentUIProps {
 export default function AgentUI({ app }: AgentUIProps) {
   const router = useRouter();
   const queryClient = useQueryClient();
+  const [conversationId, setConversationId] = useState<string | undefined>();
   const [messages, setMessages] = useState<Message[]>(
     app.welcome_message && !conversationId
       ? [{ id: "welcome", role: "assistant", content: app.welcome_message }]
@@ -147,7 +148,6 @@ export default function AgentUI({ app }: AgentUIProps) {
   );
   const [input, setInput] = useState("");
   const [isStreaming, setIsStreaming] = useState(false);
-  const [conversationId, setConversationId] = useState<string | undefined>();
   const [selectMode, setSelectMode] = useState(false);
   const [selectedIds, setSelectedIds] = useState<Set<string>>(new Set());
   const [deleteTarget, setDeleteTarget] = useState<{

apps/web/src/components/app-ui/chatbot-ui.tsx

@@ -1,7 +1,7 @@
 "use client";
 
 import React from "react";
-import { useState, useEffect, useCallback, memo, useMemo } from "react";
+import { useState, useEffect, useCallback, memo, useMemo, useRef } from "react";
 import { useRouter } from "next/navigation";
 import { useQuery, useQueryClient } from "@tanstack/react-query";
 import type { App, Conversation, Message, Chunk } from "@/lib/types";
@@ -45,10 +45,14 @@ const ChatMessage = memo(function ChatMessage({
   msg,
   onCopy,
   chunks,
+  suggestions,
+  onSuggestionClick,
 }: {
   msg: Message;
   onCopy: (text: string) => void;
   chunks: Chunk[];
+  suggestions?: string[];
+  onSuggestionClick?: (text: string) => void;
 }) {
   if (msg.role === "user") {
     return (
@@ -85,6 +89,20 @@ const ChatMessage = memo(function ChatMessage({
             </button>
           </div>
         )}
+        {/* 对话结束后的提示问题 */}
+        {suggestions && suggestions.length > 0 && (
+          <div className="flex flex-wrap gap-2 mt-3">
+            {suggestions.map((suggestion, i) => (
+              <button
+                key={i}
+                onClick={() => onSuggestionClick?.(suggestion)}
+                className="text-xs px-3 py-1.5 rounded-full bg-blue-50 dark:bg-blue-950 text-blue-700 dark:text-blue-300 hover:bg-blue-100 dark:hover:bg-blue-900 border border-blue-200 dark:border-blue-800 transition-colors"
+              >
+                {suggestion}
+              </button>
+            ))}
+          </div>
+        )}
       </div>
     </div>
   );
@@ -98,14 +116,15 @@ export default function ChatbotUI({ app }: ChatbotUIProps) {
   const router = useRouter();
   const queryClient = useQueryClient();
   const { user } = useAuthStore();
+  const [conversationId, setConversationId] = useState<string | undefined>();
   const [messages, setMessages] = useState<Message[]>(
     app.welcome_message && !conversationId
       ? [{ id: "welcome", role: "assistant", content: app.welcome_message }]
       : [],
   );
+  const [currentSuggestions, setCurrentSuggestions] = useState<string[]>([]);
   const [input, setInput] = useState("");
   const [isStreaming, setIsStreaming] = useState(false);
-  const [conversationId, setConversationId] = useState<string | undefined>();
   const [selectMode, setSelectMode] = useState(false);
   const [selectedIds, setSelectedIds] = useState<Set<string>>(new Set());
   const [deleteTarget, setDeleteTarget] = useState<{
@@ -263,10 +282,12 @@ export default function ChatbotUI({ app }: ChatbotUIProps) {
     setFileContent(null);
     setFileName(null);
     setChunks([]);
+    setCurrentSuggestions([]); // 清空之前的提示问题
     setIsStreaming(true);
 
     const controller = new AbortController();
     abortRef.current = controller;
+    const accumulatedRef = { current: "" };
 
     try {
       const res = await streamChat(app.id, fullMessage, conversationId, controller.signal);
@@ -277,6 +298,7 @@ export default function ChatbotUI({ app }: ChatbotUIProps) {
 
       let buffer = "";
       let accumulated = "";
+      let conversationIdFromResponse: string | undefined;
       while (true) {
         const { done, value } = await reader.read();
         if (done) break;
@@ -289,7 +311,7 @@ export default function ChatbotUI({ app }: ChatbotUIProps) {
           if (raw === "[DONE]") break;
           try {
             const event = JSON.parse(raw);
-            if (event.conversation_id) setConversationId(event.conversation_id);
+            if (event.conversation_id) conversationIdFromResponse = event.conversation_id;
             // 解析首包的 chunks 映射表
             if (event.chunks) {
               console.log("[SSE] Received chunks:", event.chunks);
@@ -297,6 +319,7 @@ export default function ChatbotUI({ app }: ChatbotUIProps) {
             }
             if (event.answer) {
               accumulated += event.answer;
+              accumulatedRef.current += event.answer;
               const snap = accumulated;
               setMessages((prev) =>
                 prev.map((m, i) =>
@@ -309,6 +332,7 @@ export default function ChatbotUI({ app }: ChatbotUIProps) {
           }
         }
       }
+      if (conversationIdFromResponse) setConversationId(conversationIdFromResponse);
       queryClient.invalidateQueries({
         queryKey: ["conversations", app.id],
       });
@@ -328,8 +352,64 @@ export default function ChatbotUI({ app }: ChatbotUIProps) {
     } finally {
       abortRef.current = null;
       setIsStreaming(false);
+      // 生成对话结束后的提示问题
+      generateChatSuggestions(messages);
     }
-  }, [input, isStreaming, app.id, conversationId, queryClient]);
+  }, [input, isStreaming, app.id, conversationId, queryClient, messages]);
+
+  // 生成对话结束后的提示问题（调用 LLM API）
+  const generateChatSuggestions = async (allMessages: Message[]) => {
+    // 过滤掉 welcome 消息，只保留用户和助手的实际对话
+    const realMessages = allMessages.filter((m) => m.id !== "welcome").slice(-10);
+
+    try {
+      const response = await api.post<{ data: string[] }>(`/api/v1/apps/${app.id}/suggestions`, {
+        conversation_id: conversationId,
+        messages: realMessages.map((m) => ({ role: m.role, content: m.content })),
+      });
+
+      if (response.data && response.data.length > 0) {
+        setCurrentSuggestions(response.data);
+        return;
+      }
+    } catch (err) {
+      console.warn("LLM 生成追问失败，使用规则生成:", err);
+    }
+
+    // API 调用失败时，使用规则生成作为降级方案
+    generateFallbackSuggestions(allMessages);
+  };
+
+  // 规则生成追问（降级方案）
+  const generateFallbackSuggestions = (allMessages: Message[]) => {
+    const lastResponse = allMessages[allMessages.length - 1]?.content || "";
+    const suggestions: string[] = [];
+    const lowerResponse = lastResponse.toLowerCase();
+
+    // 基于回复内容生成针对性追问
+    if (lowerResponse.includes("政策") || lowerResponse.includes("法规") || lowerResponse.includes("法律")) {
+      suggestions.push("还有哪些相关政策？", "政策的适用范围是什么？");
+    }
+    if (lowerResponse.includes("流程") || lowerResponse.includes("步骤") || lowerResponse.includes("程序")) {
+      suggestions.push("具体流程是什么？", "需要准备哪些材料？");
+    }
+    if (lowerResponse.includes("条件") || lowerResponse.includes("要求") || lowerResponse.includes("资格")) {
+      suggestions.push("具体需要什么条件？", "不符合条件怎么办？");
+    }
+    if (lowerResponse.includes("费用") || lowerResponse.includes("收费")) {
+      suggestions.push("收费标准是多少？", "有优惠政策吗？");
+    }
+
+    if (suggestions.length < 4) {
+      const generic = ["能详细说明一下吗？", "有什么需要注意的？", "可以举个例子吗？", "还有其他方案吗？"];
+      for (const q of generic) {
+        if (suggestions.length >= 4) break;
+        if (!suggestions.includes(q)) suggestions.push(q);
+      }
+    }
+
+    setCurrentSuggestions(suggestions.slice(0, 4));
+  };
 
   const handleKeyDown = useCallback(
     (e: React.KeyboardEvent) => {
@@ -346,6 +426,7 @@ export default function ChatbotUI({ app }: ChatbotUIProps) {
     setMessages([]);
     setConversationId(undefined);
     setIsStreaming(false);
+    setCurrentSuggestions([]);
   }, []);
 
   const toggleSelect = useCallback((id: string) => {
@@ -654,9 +735,22 @@ export default function ChatbotUI({ app }: ChatbotUIProps) {
 
         <div className="flex-1 overflow-y-auto min-h-0 p-4">
           <div className="max-w-3xl mx-auto space-y-4">
-            {messages.map((msg) => (
-              <ChatMessage key={msg.id} msg={msg} onCopy={copyText} chunks={chunks} />
-            ))}
+            {messages.map((msg, idx) => {
+              const isLastAssistant = msg.role === "assistant" && idx === messages.length - 1;
+              return (
+                <ChatMessage
+                  key={msg.id}
+                  msg={msg}
+                  onCopy={copyText}
+                  chunks={chunks}
+                  suggestions={isLastAssistant ? currentSuggestions : undefined}
+                  onSuggestionClick={(text) => {
+                    setInput(text);
+                    textareaRef.current?.focus();
+                  }}
+                />
+              );
+            })}
 
             {messages.length <= 1 && suggestedPrompts.length > 0 && (
               <div className="flex flex-wrap gap-2 mt-4">

apps/web/src/components/providers.tsx

@@ -24,22 +24,20 @@ function AuthLoader({ children }: { children: React.ReactNode }) {
     }
   }, [fetchUser, isPublic]);
 
+  // 鉴权路由：未登录则跳转（useEffect 中执行，避免渲染期间调用 router）
+  useEffect(() => {
+    if (!isLoading && !isAuthenticated && !isPublic) {
+      router.push("/login");
+    }
+  }, [isLoading, isAuthenticated, isPublic, router]);
+
   // 公开路由：直接渲染，不阻塞
   if (isPublic) {
     return <>{children}</>;
   }
 
-  // 鉴权路由：未登录则跳转
-  if (!isLoading && !isAuthenticated) {
-    router.push("/login");
-    return (
-      <div className="flex h-screen items-center justify-center">
-        <div className="animate-spin rounded-full h-8 w-8 border-b-2 border-primary" />
-      </div>
-    );
-  }
-
-  if (isLoading) {
+  // 加载中或未认证
+  if (isLoading || !isAuthenticated) {
     return (
       <div className="flex h-screen items-center justify-center">
         <div className="animate-spin rounded-full h-8 w-8 border-b-2 border-primary" />

server/cmd/server/router.go

@@ -132,6 +132,7 @@ func newRouter(cfg *config.Config, pool *pgxpool.Pool, rdb *redis.Client) http.H
 			r.Post("/generate-analysis", analysisH.GenerateReport)
 			r.Get("/conversations", chatH.Conversations)
 			r.Get("/conversations/{convId}/messages", chatH.Messages)
+			r.Post("/suggestions", chatH.GetSuggestions)
 			r.Delete("/conversations/{convId}", chatH.DeleteConversation)
 			r.Put("/conversations/{convId}/name", chatH.RenameConversation)
 			r.Post("/conversations/batch-delete", chatH.BatchDeleteConversations)

server/internal/handler/chat_llm.go

@@ -1737,3 +1737,100 @@ func (h *LLMChatHandler) generateConversationName(appID, userID, convID, userMes
 		DO UPDATE SET name = EXCLUDED.name, updated_at = now()`,
 		appID, userID, convID, name)
 }
+
+// GenerateSuggestions 生成追问建议（由 LLM 智能生成）
+func (h *LLMChatHandler) GenerateSuggestions(ctx context.Context, conversationID, appID string, messages []map[string]string) ([]string, error) {
+	if len(messages) == 0 {
+		return nil, nil
+	}
+
+	// 构建对话历史上下文
+	var historyBuilder strings.Builder
+	for i, msg := range messages {
+		role := "用户"
+		if msg["role"] == "assistant" {
+			role = "助手"
+		}
+		historyBuilder.WriteString(fmt.Sprintf("%d. %s：%s\n", i+1, role, msg["content"]))
+	}
+
+	systemPrompt := `你是一个智能政务问答助手。请根据对话历史，生成4个追问问题，帮助用户深入了解相关内容。
+
+要求：
+1. 问题必须与对话内容紧密相关
+2. 每个问题不超过20个字
+3. 问题要有深度，引导用户进一步思考
+4. 避免重复或过于宽泛的问题
+5. 直接输出问题，用换行分隔，不要编号，不要解释`
+
+	suggestReq := &llm.ChatRequest{
+		Model: "",
+		Messages: []llm.Message{
+			{Role: "system", Content: systemPrompt},
+			{Role: "user", Content: "对话历史：\n" + historyBuilder.String()},
+		},
+		Temperature: 0.7,
+		MaxTokens:   200,
+		Stream:      false,
+	}
+
+	// 获取激活的 provider
+	provider, defaultModel, err := h.getProviderWithModel(ctx)
+	if err != nil {
+		return nil, err
+	}
+	if defaultModel != "" {
+		suggestReq.Model = defaultModel
+	}
+
+	result, err := h.manager.Chat(ctx, provider, suggestReq)
+	if err != nil {
+		return nil, err
+	}
+
+	// 解析结果：按换行分割
+	suggestions := strings.Split(strings.TrimSpace(result.Content), "\n")
+	var validSuggestions []string
+	for _, s := range suggestions {
+		s = strings.TrimSpace(s)
+		// 过滤空行和过长的行
+		if len(s) > 0 && len([]rune(s)) <= 25 {
+			validSuggestions = append(validSuggestions, s)
+		}
+	}
+
+	// 最多返回4个
+	if len(validSuggestions) > 4 {
+		validSuggestions = validSuggestions[:4]
+	}
+
+	return validSuggestions, nil
+}
+
+// GetSuggestions HTTP handler：获取追问建议
+func (h *LLMChatHandler) GetSuggestions(w http.ResponseWriter, r *http.Request) {
+	ctx := r.Context()
+	appID := chi.URLParam(r, "id")
+	if appID == "" {
+		response.Error(w, http.StatusBadRequest, 40001, "缺少应用ID")
+		return
+	}
+
+	var req struct {
+		ConversationID string              `json:"conversation_id"`
+		Messages      []map[string]string `json:"messages"`
+	}
+	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+		response.Error(w, http.StatusBadRequest, 40002, "请求格式错误")
+		return
+	}
+
+	suggestions, err := h.GenerateSuggestions(ctx, req.ConversationID, appID, req.Messages)
+	if err != nil {
+		log.Warn().Err(err).Msg("generate suggestions failed")
+		response.Error(w, http.StatusInternalServerError, 50001, "生成追问失败")
+		return
+	}
+
+	response.JSON(w, http.StatusOK, suggestions)
+}