feat:客户agent以及记忆模块优化

tool/confidence_rank.py

@@ -14,8 +14,7 @@ class FinalConfidenceRankTool:
         "semantic": 0.30,
         "timeliness": 0.20,
         "accuracy": 0.20,
-        "base": 0.25,
-        "conflict": 0.05,
+        "base": 0.30,
     }
     INVALID_STATUSES = frozenset({"expired", "rejected", "archived"})
 
@@ -39,13 +38,11 @@ class FinalConfidenceRankTool:
             timeliness = self._calc_timeliness(unit.get("age_days", 0))
             accuracy = self._bounded(unit.get("historical_accuracy", 0.5), 0.5)
             base = self._bounded(unit.get("confidence", 0.5), 0.5)
-            conflict_penalty = min(self._non_negative_int(unit.get("conflict_count", 0)), 5) * 0.1
             final_score = (
                 self.WEIGHTS["semantic"] * semantic
                 + self.WEIGHTS["timeliness"] * timeliness
                 + self.WEIGHTS["accuracy"] * accuracy
                 + self.WEIGHTS["base"] * base
-                - self.WEIGHTS["conflict"] * conflict_penalty
             )
             unit["final_score"] = max(0.0, min(1.0, final_score))
             ranked.append(unit)
@@ -78,14 +75,6 @@ class FinalConfidenceRankTool:
             return default
         return max(0.0, min(1.0, value))
 
-    @staticmethod
-    def _non_negative_int(value: Any) -> int:
-        """将冲突次数转换为非负整数。"""
-        try:
-            return max(0, int(value))
-        except (TypeError, ValueError):
-            return 0
-
     @staticmethod
     def _calc_timeliness(age_days: Any) -> float:
         """按每年 20% 计算平滑时效分，最低保留 0.8。"""