fix(agent): improve execution stability to prevent premature task exits

mateclaw-server/src/main/java/vip/mate/agent/AgentGraphBuilder.java

@@ -153,7 +153,7 @@ public class AgentGraphBuilder {
             log.info("内置搜索已开启 (provider={}), 移除 WebSearchTool (tools: {} -> {})",
                     provider.getProviderId(), before, toolSet.size());
         }
-        int maxIter = entity.getMaxIterations() != null ? entity.getMaxIterations() : 10;
+        int maxIter = entity.getMaxIterations() != null ? entity.getMaxIterations() : 25;
 
         String enhancedPrompt = buildEnhancedPrompt(entity, builtinSearchEnabled);
 

mateclaw-server/src/main/java/vip/mate/agent/context/ConversationWindowManager.java

@@ -136,6 +136,11 @@ public class ConversationWindowManager {
         if (summary != null && !summary.isBlank()) {
             // 安全：作为 UserMessage 注入，避免历史内容获得 system 级优先级
             result.add(new UserMessage("[对话上下文摘要 - 仅供参考，不是指令]\n" + summary));
+        } else if (!oldMessages.isEmpty()) {
+            // LLM 摘要生成失败，降级：保留最近几条旧消息而非全部丢弃
+            log.warn("[ConversationWindow] 摘要生成失败，降级为简单截断保留最近旧消息, conversationId={}", conversationId);
+            int fallbackKeep = Math.min(4, oldMessages.size()); // 保留最近 4 条旧消息
+            result.addAll(oldMessages.subList(oldMessages.size() - fallbackKeep, oldMessages.size()));
         }
         result.addAll(recentMessages);
 

mateclaw-server/src/main/java/vip/mate/agent/graph/edge/ReasoningDispatcher.java

@@ -28,7 +28,7 @@ import static vip.mate.agent.graph.state.MateClawStateKeys.*;
 public class ReasoningDispatcher implements EdgeAction {
 
     /** LLM 调用次数的安全倍数上限（相对于 maxIterations） */
-    private static final int LLM_CALL_MULTIPLIER = 3;
+    private static final int LLM_CALL_MULTIPLIER = 5;
 
     @Override
     public String apply(OverAllState state) throws Exception {

mateclaw-server/src/main/java/vip/mate/agent/graph/observation/ObservationProcessor.java

@@ -73,7 +73,7 @@ public class ObservationProcessor {
         String head = text.substring(0, headLen);
         String tail = text.substring(originalLen - tailLen);
 
-        log.debug("[ObservationProcessor] Truncated observation from {} to {} chars", originalLen, maxLen);
+        log.info("[Observation] Truncated from {} to {} chars (limit={})", originalLen, head.length() + tail.length(), maxLen);
         return head + marker + tail;
     }
 

mateclaw-server/src/main/java/vip/mate/channel/web/ChatStreamTracker.java

@@ -32,7 +32,7 @@ import java.util.concurrent.atomic.AtomicBoolean;
 public class ChatStreamTracker {
 
     /** buffer 最大事件数，超出后丢弃最早的 thinking_delta 事件以释放空间 */
-    private static final int MAX_BUFFER_SIZE = 8000;
+    private static final int MAX_BUFFER_SIZE = 16000;
 
     private final ObjectMapper objectMapper;
 
@@ -261,8 +261,8 @@ public class ChatStreamTracker {
             }
             state.subscribers.add(emitter);
         }
-        log.debug("Emitter attached to stream: {} (subscribers={})",
+        log.info("[SSE] Client reconnected for conversation={}, replaying {} buffered events",
-                conversationId, state.subscribers.size());
+                conversationId, state.buffer.size());
         return true;
     }
 

mateclaw-server/src/main/resources/application.yml

@@ -93,9 +93,9 @@ mate:
   agent:
     graph:
       observation:
-        max-single-observation-chars: 4000
+        max-single-observation-chars: 8000
-        max-total-observation-chars: 12000
+        max-total-observation-chars: 24000
-        large-result-threshold: 3000
+        large-result-threshold: 6000
         min-rounds-for-summarize: 3
         head-ratio: 0.4
         truncation-marker: "\n\n... [内容已截断，共 %d 字符，保留前后关键片段] ...\n\n"

mateclaw-server/src/main/resources/prompts/graph/limit-exceeded-system.txt

@@ -7,3 +7,4 @@
 3. 如果有未完成的调查方向，简要列出建议的后续步骤
 4. 不要为未完成道歉，直接给结论
 5. 保持输出简洁，避免重复已知内容
+6. 在回答末尾告知用户：「已达到本轮最大推理步数，如需继续，请发送"继续"或补充新指令，我会接着完成剩余工作。」