refactor(chat): 重构HeartFChatting为模块化架构

将原本超长的heartFC_chat.py拆分为6个功能内聚的子模块：
- hfc_context：上下文数据容器
- cycle_tracker：循环状态记录
- energy_manager：能量值独立管理
- proactive_thinker：主动思考逻辑抽离
- cycle_processor：单次循环处理器
- response_handler / normal_mode_handler：响应策略

删除冗余常量、错误样板及旧逻辑；大幅减少类体积；降低耦合度，提升可维护性。

src/chat/chat_loop/cycle_tracker.py

@@ -0,0 +1,45 @@
+import time
+from typing import Dict, Any, Tuple
+
+from src.common.logger import get_logger
+from src.chat.chat_loop.hfc_utils import CycleDetail
+from .hfc_context import HfcContext
+
+logger = get_logger("hfc.cycle")
+
+class CycleTracker:
+    def __init__(self, context: HfcContext):
+        self.context = context
+
+    def start_cycle(self) -> Tuple[Dict[str, float], str]:
+        self.context.cycle_counter += 1
+        self.context.current_cycle_detail = CycleDetail(self.context.cycle_counter)
+        self.context.current_cycle_detail.thinking_id = f"tid{str(round(time.time(), 2))}"
+        cycle_timers = {}
+        return cycle_timers, self.context.current_cycle_detail.thinking_id
+
+    def end_cycle(self, loop_info: Dict[str, Any], cycle_timers: Dict[str, float]):
+        if self.context.current_cycle_detail:
+            self.context.current_cycle_detail.set_loop_info(loop_info)
+            self.context.history_loop.append(self.context.current_cycle_detail)
+            self.context.current_cycle_detail.timers = cycle_timers
+            self.context.current_cycle_detail.end_time = time.time()
+            self.print_cycle_info(cycle_timers)
+
+    def print_cycle_info(self, cycle_timers: Dict[str, float]):
+        if not self.context.current_cycle_detail:
+            return
+
+        timer_strings = []
+        for name, elapsed in cycle_timers.items():
+            formatted_time = f"{elapsed * 1000:.2f}毫秒" if elapsed < 1 else f"{elapsed:.2f}秒"
+            timer_strings.append(f"{name}: {formatted_time}")
+
+        if self.context.current_cycle_detail.end_time and self.context.current_cycle_detail.start_time:
+            duration = self.context.current_cycle_detail.end_time - self.context.current_cycle_detail.start_time
+            logger.info(
+                f"{self.context.log_prefix} 第{self.context.current_cycle_detail.cycle_id}次思考,"
+                f"耗时: {duration:.1f}秒, "
+                f"选择动作: {self.context.current_cycle_detail.loop_plan_info.get('action_result', {}).get('action_type', '未知动作')}"
+                + (f"\n详情: {'; '.join(timer_strings)}" if timer_strings else "")
+            )