fix: avoid low-confidence supervisor retry by default

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

@@ -104,6 +104,9 @@ public class ChatService {
     @Value("${verifier.low-confidence-threshold:0.5}")
     private double verifierLowConfidenceThreshold;
 
+    @Value("${chat.complex.retry-on-low-confidence:false}")
+    private boolean retryOnLowConfidence;
+
     /** 多 Agent Chat 的 Prompt */
     private String chatPlannerPrompt;
     private String chatExecutorPrompt;
@@ -211,16 +214,19 @@ public class ChatService {
 
     /**
      * 动态构建方法工具数组
-     * 根据 cls.mock-enabled 决定是否包含 QueryLogsTools
+     * 根据已注入的 Bean 暴露本地工具，避免 mock/真实模式下漏注入。
      */
     public Object[] buildMethodToolsArray() {
+        List<Object> methodTools = new ArrayList<>();
+        methodTools.add(dateTimeTools);
+        methodTools.add(lookupKnowledgeTool);
         if (queryLogsTools != null) {
-            // Mock 模式：包含 QueryLogsTools
+            methodTools.add(queryLogsTools);
-            return new Object[]{dateTimeTools, lookupKnowledgeTool};
-        } else {
-            // 真实模式：不包含 QueryLogsTools（由 MCP 提供日志查询功能）
-            return new Object[]{dateTimeTools, lookupKnowledgeTool, queryMetricsTools};
         }
+        if (queryMetricsTools != null) {
+            methodTools.add(queryMetricsTools);
+        }
+        return methodTools.toArray();
     }
 
     /**
@@ -436,7 +442,10 @@ public class ChatService {
                     break;
                 }
 
-                if (finalDecision.groundednessScore() >= verifierLowConfidenceThreshold || round == 2) {
+                boolean shouldRetry = retryOnLowConfidence
+                        && finalDecision.groundednessScore() < verifierLowConfidenceThreshold
+                        && round < 2;
+                if (!shouldRetry) {
                     answer = buildLowConfidenceOutput(answer, finalDecision);
                     persistVerifierEvaluation(session, finalDecision, round);
                     break;

src/test/java/com/superbiz/agent/service/ChatServiceSupervisorAgentTest.java

@@ -2,6 +2,7 @@ package com.superbiz.agent.service;
 
 import com.superbiz.agent.agent.tool.DateTimeTools;
 import com.superbiz.agent.agent.tool.QueryLogsTools;
+import com.superbiz.agent.agent.tool.QueryMetricsTools;
 import com.superbiz.agent.domain.entity.AgentStep;
 import com.superbiz.agent.domain.entity.DiagnosisSession;
 import com.superbiz.agent.repository.AgentStepRepository;
@@ -23,6 +24,7 @@ import java.util.Optional;
 import java.util.concurrent.atomic.AtomicInteger;
 
 import static org.junit.jupiter.api.Assertions.assertEquals;
+import static org.junit.jupiter.api.Assertions.assertSame;
 import static org.junit.jupiter.api.Assertions.assertTrue;
 import static org.mockito.ArgumentMatchers.any;
 import static org.mockito.ArgumentMatchers.anyString;
@@ -33,9 +35,81 @@ class ChatServiceSupervisorAgentTest {
 
     @Test
     void executeChatComplexInvokesSupervisorFlow() throws Exception {
-        ChatService chatService = new ChatService();
+        ChatService chatService = createChatService();
         ScriptedChatModel chatModel = new ScriptedChatModel();
 
+        ChatService.ChatResult result = chatService.executeChatComplex(
+                chatModel,
+                new ToolCallback[0],
+                "请分析订单支付超时的原因，并给出修复建议",
+                List.of(),
+                "supervisor-test-session"
+        );
+
+        assertEquals("EXECUTOR_FINAL_ANSWER", result.answer());
+        assertEquals("supervisor-test-session", result.sessionId());
+        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier", "FINISH"), chatModel.decisions);
+        assertTrue(chatModel.sawVerifierPrompt);
+    }
+
+    @Test
+    void executeChatComplexDoesNotRetryLowConfidenceByDefault() throws Exception {
+        ChatService chatService = createChatService();
+        ScriptedChatModel chatModel = new ScriptedChatModel("""
+                {
+                  "verdict": "LOW_CONFID",
+                  "groundedness_score": 0.1,
+                  "critical_fact_count": 1,
+                  "facts_checked": [
+                    {
+                      "fact": "missing direct evidence",
+                      "is_critical": true,
+                      "verification": "no_evidence",
+                      "detail": "scripted evidence gap",
+                      "evidence_refs": []
+                    }
+                  ],
+                  "rationale": "scripted low confidence"
+                }
+                """);
+
+        ChatService.ChatResult result = chatService.executeChatComplex(
+                chatModel,
+                new ToolCallback[0],
+                "请分析订单支付超时的原因，并给出修复建议",
+                List.of(),
+                "supervisor-low-confidence-session"
+        );
+
+        assertTrue(result.answer().contains("EXECUTOR_FINAL_ANSWER"));
+        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier", "FINISH"), chatModel.decisions);
+    }
+
+    @Test
+    void buildMethodToolsArrayIncludesLogsAndMetricsWhenAvailable() {
+        ChatService chatService = new ChatService();
+        DateTimeTools dateTimeTools = new DateTimeTools();
+        LookupKnowledgeTool lookupKnowledgeTool = new LookupKnowledgeTool();
+        QueryLogsTools queryLogsTools = new QueryLogsTools(mock(ToolInvocationRecorder.class));
+        QueryMetricsTools queryMetricsTools = new QueryMetricsTools(mock(ToolInvocationRecorder.class));
+
+        ReflectionTestUtils.setField(chatService, "dateTimeTools", dateTimeTools);
+        ReflectionTestUtils.setField(chatService, "lookupKnowledgeTool", lookupKnowledgeTool);
+        ReflectionTestUtils.setField(chatService, "queryLogsTools", queryLogsTools);
+        ReflectionTestUtils.setField(chatService, "queryMetricsTools", queryMetricsTools);
+
+        Object[] methodTools = chatService.buildMethodToolsArray();
+
+        assertEquals(4, methodTools.length);
+        assertSame(dateTimeTools, methodTools[0]);
+        assertSame(lookupKnowledgeTool, methodTools[1]);
+        assertSame(queryLogsTools, methodTools[2]);
+        assertSame(queryMetricsTools, methodTools[3]);
+    }
+
+    private ChatService createChatService() {
+        ChatService chatService = new ChatService();
+
         DiagnosisSessionRepository diagnosisSessionRepository = mock(DiagnosisSessionRepository.class);
         when(diagnosisSessionRepository.findBySessionId(anyString())).thenReturn(Optional.empty());
         when(diagnosisSessionRepository.save(any(DiagnosisSession.class))).thenAnswer(invocation -> invocation.getArgument(0));
@@ -75,19 +149,7 @@ class ChatServiceSupervisorAgentTest {
         ReflectionTestUtils.setField(chatService, "chatPlannerPrompt", "PLANNER_TEST_PROMPT");
         ReflectionTestUtils.setField(chatService, "chatExecutorPrompt", "EXECUTOR_TEST_PROMPT");
         ReflectionTestUtils.setField(chatService, "chatVerifierPrompt", "VERIFIER_TEST_PROMPT");
-
+        return chatService;
-        ChatService.ChatResult result = chatService.executeChatComplex(
-                chatModel,
-                new ToolCallback[0],
-                "请分析订单支付超时的原因，并给出修复建议",
-                List.of(),
-                "supervisor-test-session"
-        );
-
-        assertEquals("EXECUTOR_FINAL_ANSWER", result.answer());
-        assertEquals("supervisor-test-session", result.sessionId());
-        assertEquals(List.of("chat_planner", "chat_executor", "chat_verifier", "FINISH"), chatModel.decisions);
-        assertTrue(chatModel.sawVerifierPrompt);
     }
 
     private static final class ScriptedChatModel implements ChatModel {
@@ -96,21 +158,10 @@ class ChatServiceSupervisorAgentTest {
         private int decisionIndex;
         private String promptText = "";
         private boolean sawVerifierPrompt;
+        private final String verifierOutput;
 
-        @Override
+        private ScriptedChatModel() {
-        public ChatResponse call(Prompt prompt) {
+            this("""
-            promptText = prompt.getContents();
-            String text;
-            if (promptText.contains("Available options:")) {
-                text = "{\"agent\":\"" + decisionScript.get(decisionIndex++) + "\"}";
-                decisions.add(text.substring(10, text.length() - 2));
-            } else if (promptText.contains("PLANNER_TEST_PROMPT")) {
-                text = "PLANNER_PLAN";
-            } else if (promptText.contains("EXECUTOR_TEST_PROMPT")) {
-                text = "EXECUTOR_FINAL_ANSWER";
-            } else if (promptText.contains("VERIFIER_TEST_PROMPT")) {
-                sawVerifierPrompt = true;
-                text = """
                     {
                       "verdict": "PASS",
                       "groundedness_score": 1.0,
@@ -126,7 +177,27 @@ class ChatServiceSupervisorAgentTest {
                       ],
                       "rationale": "scripted pass"
                     }
-                        """;
+                    """);
+        }
+
+        private ScriptedChatModel(String verifierOutput) {
+            this.verifierOutput = verifierOutput;
+        }
+
+        @Override
+        public ChatResponse call(Prompt prompt) {
+            promptText = prompt.getContents();
+            String text;
+            if (promptText.contains("Available options:")) {
+                text = "{\"agent\":\"" + decisionScript.get(decisionIndex++) + "\"}";
+                decisions.add(text.substring(10, text.length() - 2));
+            } else if (promptText.contains("PLANNER_TEST_PROMPT")) {
+                text = "PLANNER_PLAN";
+            } else if (promptText.contains("EXECUTOR_TEST_PROMPT")) {
+                text = "EXECUTOR_FINAL_ANSWER";
+            } else if (promptText.contains("VERIFIER_TEST_PROMPT")) {
+                sawVerifierPrompt = true;
+                text = verifierOutput;
             } else {
                 text = "UNEXPECTED_PROMPT";
             }