feat：lpmm可选接入memory agent，将memory agent改为标准工具格式，修改llm_utils以兼容

src/memory_system/retrieval_tools/query_lpmm_knowledge.py

@@ -0,0 +1,65 @@
+"""
+通过LPMM知识库查询信息 - 工具实现
+"""
+
+from src.common.logger import get_logger
+from src.config.config import global_config
+from src.chat.knowledge import get_qa_manager
+from .tool_registry import register_memory_retrieval_tool
+
+logger = get_logger("memory_retrieval_tools")
+
+
+async def query_lpmm_knowledge(query: str) -> str:
+    """在LPMM知识库中查询相关信息
+
+    Args:
+        query: 查询关键词
+
+    Returns:
+        str: 查询结果
+    """
+    try:
+        content = str(query).strip()
+        if not content:
+            return "查询关键词为空"
+
+        if not global_config.lpmm_knowledge.enable:
+            logger.debug("LPMM知识库未启用")
+            return "LPMM知识库未启用"
+
+        qa_manager = get_qa_manager()
+        if qa_manager is None:
+            logger.debug("LPMM知识库未初始化，跳过查询")
+            return "LPMM知识库未初始化"
+
+        knowledge_info = await qa_manager.get_knowledge(content)
+        logger.debug(f"LPMM知识库查询结果: {knowledge_info}")
+
+        if knowledge_info:
+            return f"你从LPMM知识库中找到以下信息：\n{knowledge_info}"
+
+        return f"在LPMM知识库中未找到与“{content}”相关的信息"
+
+    except Exception as e:
+        logger.error(f"LPMM知识库查询失败: {e}")
+        return f"LPMM知识库查询失败：{str(e)}"
+
+
+def register_tool():
+    """注册LPMM知识库查询工具"""
+    register_memory_retrieval_tool(
+        name="lpmm_search_knowledge",
+        description="从LPMM知识库中搜索相关信息，适用于需要知识支持的场景。",
+        parameters=[
+            {
+                "name": "query",
+                "type": "string",
+                "description": "需要查询的关键词或问题",
+                "required": True,
+            }
+        ],
+        execute_func=query_lpmm_knowledge,
+    )
+
+