feat:客户agent以及记忆模块优化

service/client_agent/runtime.py

@@ -140,13 +140,9 @@ class MemoryAwareClientAgent:
 
         for index, candidate in enumerate(candidates):
             try:
+                evidence_count = 1
                 if candidate.get("signal_type") == "interest_query":
-                    count, reached = await self.memory_service.record_interest_signal(
-                        customer_id=customer_id,
-                        tag=candidate["tag"],
-                    )
-                    if not reached:
-                        continue
+                    # 兴趣主题首次出现即保存为候选，后续由长期记忆按精确内容合并证据。
                     candidate["memory_type"] = "CUSTOMER_PREFERENCE"
                     candidate["source"] = "dialogue_inferred"
                 memory = MemoryUnitDTO(
@@ -157,6 +153,7 @@ class MemoryAwareClientAgent:
                     content=candidate["content"],
                     source=candidate["source"],
                     evidence_ref=[{"session_id": session_id, "query": query}],
+                    evidence_count=evidence_count,
                 )
                 _, save_warnings = await self.memory_service.save_memory(
                     customer_id=customer_id,