feat(feedback): 置信度评分与用户反馈机制 & 归档 confidence-feedback change

src/main/java/com/superbiz/agent/controller/ChatController.java

@@ -87,15 +87,16 @@ public class ChatController {
 
             // 根据问题复杂度自动选择单 Agent 或多 Agent
             logger.info("开始 ReactAgent 对话（支持自动工具调用）");
-            String fullAnswer = chatService.executeChatWithStrategy(chatModel, toolCallbacks,
+            ChatService.ChatResult result = chatService.executeChatWithStrategy(chatModel, toolCallbacks,
                     request.getQuestion(), history);
-            
+            String fullAnswer = result.answer();
+
             // 更新会话历史
             session.addMessage(request.getQuestion(), fullAnswer);
-            logger.info("已更新会话历史 - SessionId: {}, 当前消息对数: {}", 
+            logger.info("已更新会话历史 - SessionId: {}, 当前消息对数: {}",
                 request.getId(), session.getMessagePairCount());
-            
-            return ResponseEntity.ok(ApiResponse.success(ChatResponse.success(fullAnswer)));
+
+            return ResponseEntity.ok(ApiResponse.success(ChatResponse.success(fullAnswer, result.sessionId())));
 
         } catch (Exception e) {
             logger.error("对话失败", e);
@@ -537,11 +538,13 @@ public class ChatController {
         private boolean success;
         private String answer;
         private String errorMessage;
+        private String sessionId;
 
-        public static ChatResponse success(String answer) {
+        public static ChatResponse success(String answer, String sessionId) {
             ChatResponse response = new ChatResponse();
             response.setSuccess(true);
             response.setAnswer(answer);
+            response.setSessionId(sessionId);
             return response;
         }
 

src/main/java/com/superbiz/agent/domain/entity/DiagnosisSession.java

@@ -54,6 +54,9 @@ public class DiagnosisSession {
     @Column(name = "tool_call_count")
     private Integer toolCallCount;
 
+    @Column(name = "answer", columnDefinition = "LONGTEXT")
+    private String answer;
+
     @JdbcTypeCode(SqlTypes.JSON)
     @Column(name = "self_evaluation", columnDefinition = "JSON")
     private String selfEvaluation;

src/main/java/com/superbiz/agent/service/ChatService.java

@@ -46,6 +46,9 @@ public class ChatService {
 
     private static final Logger logger = LoggerFactory.getLogger(ChatService.class);
 
+    /** 封装 answer + 后端生成的 sessionId，用于 feedback 关联 */
+    public record ChatResult(String answer, String sessionId) {}
+
     @Autowired
     private InternalDocsTools internalDocsTools;
 
@@ -73,6 +76,9 @@ public class ChatService {
     @Autowired
     private AgentStepRepository agentStepRepository;
 
+    @Autowired
+    private EvaluationService evaluationService;
+
     /** 多 Agent Chat 的 Prompt */
     private String chatPlannerPrompt;
     private String chatExecutorPrompt;
@@ -233,9 +239,9 @@ public class ChatService {
      * 执行 ReactAgent 对话（非流式）
      * @param agent ReactAgent 实例
      * @param question 用户问题
-     * @return AI 回复
+     * @return ChatResult（answer + sessionId）
      */
-    public String executeChat(ReactAgent agent, String question) throws GraphRunnerException {
+    public ChatResult executeChat(ReactAgent agent, String question) throws GraphRunnerException {
         logger.info("========================================");
         logger.info("📝 用户问题: {}", question);
 
@@ -267,15 +273,18 @@ public class ChatService {
 
             // 更新诊断会话
             session.setStatus("SUCCESS");
+            session.setAnswer(answer);
             session.setTotalDurationMs((int) duration);
             backfillSessionMetrics(session);
             diagnosisSessionRepository.save(session);
 
+            evaluationService.evaluate(sessionId, answer);
+
             logger.info("⏱️  总耗时: {} ms", duration);
             logger.info("📏 输出长度: {} 字符", answer.length());
             logger.info("========================================");
 
-            return answer;
+            return new ChatResult(answer, sessionId);
         } catch (Exception e) {
             session.setStatus("FAILED");
             diagnosisSessionRepository.save(session);
@@ -291,9 +300,9 @@ public class ChatService {
      * @param toolCallbacks 工具回调
      * @param question 用户问题
      * @param history 历史消息
-     * @return AI 回复
+     * @return ChatResult（answer + sessionId）
      */
-    public String executeChatWithStrategy(ChatModel chatModel, ToolCallback[] toolCallbacks,
+    public ChatResult executeChatWithStrategy(ChatModel chatModel, ToolCallback[] toolCallbacks,
                                           String question, List<Map<String, String>> history) throws GraphRunnerException {
         if (QuestionComplexity.isComplex(question)) {
             logger.info("📊 问题判定为复杂，使用多 Agent（Planner + Executor）执行");
@@ -309,7 +318,7 @@ public class ChatService {
     /**
      * 多 Agent 复杂对话执行（Planner + Executor + Supervisor）
      */
-    public String executeChatComplex(ChatModel chatModel, ToolCallback[] toolCallbacks,
+    public ChatResult executeChatComplex(ChatModel chatModel, ToolCallback[] toolCallbacks,
                                      String question, List<Map<String, String>> history) throws GraphRunnerException {
         String sessionId = UUID.randomUUID().toString().substring(0, 8);
         long startTime = System.currentTimeMillis();
@@ -356,20 +365,23 @@ public class ChatService {
             }
 
             session.setStatus("SUCCESS");
+            session.setAnswer(answer);
             session.setTotalDurationMs((int) duration);
             backfillSessionMetrics(session);
             diagnosisSessionRepository.save(session);
 
+            evaluationService.evaluate(sessionId, answer);
+
             logger.info("⏱️  多 Agent 总耗时: {} ms", duration);
             logger.info("📏 输出长度: {} 字符", answer.length());
 
-            return answer;
+            return new ChatResult(answer, sessionId);
 
         } catch (Exception e) {
             session.setStatus("FAILED");
             diagnosisSessionRepository.save(session);
             logger.error("多 Agent 执行失败", e);
-            return "执行失败: " + e.getMessage();
+            return new ChatResult("执行失败: " + e.getMessage(), sessionId);
         } finally {
             SessionContextHolder.clear();
         }