diff --git a/apps/models/app.py b/apps/models/app.py
index 2b60d89b38dafb0a720f133911c9a3fed7a64f2c..0aa122f67336f58fb843a82fa8e65d861dbc290c 100644
--- a/apps/models/app.py
+++ b/apps/models/app.py
@@ -36,7 +36,7 @@ class App(Base):
     """应用名称"""
     description: Mapped[str] = mapped_column(String(2000), nullable=False)
     """应用描述"""
-    authorId: Mapped[str] = mapped_column(String(50), ForeignKey("framework_user.id"), nullable=False)  # noqa: N815
+    authorId: Mapped[str] = mapped_column(String(50), nullable=False)  # noqa: N815
     """应用作者ID"""
     appType: Mapped[AppType] = mapped_column(Enum(AppType), nullable=False)  # noqa: N815
     """应用类型"""
diff --git a/apps/models/mcp.py b/apps/models/mcp.py
index 0b3a43f1661794f522355f849e071b4cd49d78d2..f6d0c9c8606cd3622529ef1f479273fb07efefc5 100644
--- a/apps/models/mcp.py
+++ b/apps/models/mcp.py
@@ -40,7 +40,7 @@ class MCPInfo(Base):
     """MCP 概述"""
     description: Mapped[str] = mapped_column(Text, nullable=False)
     """MCP 描述"""
-    authorId: Mapped[str] = mapped_column(String(50), ForeignKey("framework_user.id"), nullable=False)  # noqa: N815
+    authorId: Mapped[str] = mapped_column(String(50), nullable=False)  # noqa: N815
     """MCP 创建者ID"""
     id: Mapped[str] = mapped_column(String(255), primary_key=True)
     """MCP ID"""
diff --git a/apps/models/service.py b/apps/models/service.py
index f347bad4871aa8356ff04c3b737c74085b15d53b..564161789f4aa1c4aa1c7d77da365737e545da66 100644
--- a/apps/models/service.py
+++ b/apps/models/service.py
@@ -20,7 +20,7 @@ class Service(Base):
     """插件名称"""
     description: Mapped[str] = mapped_column(String(2000), nullable=False)
     """插件描述"""
-    authorId: Mapped[str] = mapped_column(String(50), ForeignKey("framework_user.id"), nullable=False)  # noqa: N815
+    authorId: Mapped[str] = mapped_column(String(50), nullable=False)  # noqa: N815
     """插件作者ID"""
     id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
     """插件ID"""
diff --git a/apps/scheduler/mcp/select.py b/apps/scheduler/mcp/select.py
index f2f3f5d4f0298f17540b006043037493e1195eb8..11412f39b796ea0822fe5b2d9b9c48001c13daaf 100644
--- a/apps/scheduler/mcp/select.py
+++ b/apps/scheduler/mcp/select.py
@@ -77,6 +77,11 @@ class MCPSelector(MCPNodeBase):
 
     async def select_top_tool(self, query: str, mcp_list: list[str], top_n: int = 10) -> list[MCPTools]:
         """选择最合适的工具"""
+        # 检查 embedding 是否已初始化
+        if embedding.MCPToolVector is None:
+            logger.warning("[MCPSelector] Embedding 未初始化，返回空列表")
+            return []
+
         query_embedding = await embedding.get_embedding([query])
         async with postgres.session() as session:
             tool_vecs = await session.scalars(
diff --git a/apps/scheduler/pool/loader/call.py b/apps/scheduler/pool/loader/call.py
index 57ec5544d8590feb297413a45c7e31c732b4937e..1dc93f306bdfec368eba877ef63a7832272a500b 100644
--- a/apps/scheduler/pool/loader/call.py
+++ b/apps/scheduler/pool/loader/call.py
@@ -44,7 +44,7 @@ class CallLoader:
         """将数据插入数据库"""
         # 清除旧数据
         async with postgres.session() as session:
-            if await _table_exists(embedding.NodePoolVector.__tablename__):
+            if embedding.NodePoolVector is not None and await _table_exists(embedding.NodePoolVector.__tablename__):
                 await session.execute(
                     delete(embedding.NodePoolVector).where(embedding.NodePoolVector.serviceId == None),  # noqa: E711
                 )
@@ -70,6 +70,13 @@ class CallLoader:
 
     async def _add_vector_to_db(self, call_metadata: dict[str, CallInfo]) -> None:
         """将向量化数据存入数据库"""
+        # 检查 NodePoolVector 是否已初始化
+        if embedding.NodePoolVector is None:
+            _logger.warning(
+                "[CallLoader] Embedding 未初始化，跳过向量数据插入",
+            )
+            return
+
         # 检查表是否存在
         if not await _table_exists(embedding.NodePoolVector.__tablename__):
             _logger.warning(
diff --git a/apps/scheduler/pool/loader/flow.py b/apps/scheduler/pool/loader/flow.py
index ca7215a7c49d57048aa60626dc9c990a89c5235b..695bec2655bc49074b2b0a03457e6aedaf92606b 100644
--- a/apps/scheduler/pool/loader/flow.py
+++ b/apps/scheduler/pool/loader/flow.py
@@ -211,9 +211,10 @@ class FlowLoader:
                         FlowInfo.id == flow_id,
                     ),
                 ))
-                await session.execute(
-                    delete(embedding.FlowPoolVector).where(embedding.FlowPoolVector.id == flow_id),
-                )
+                if embedding.FlowPoolVector is not None:
+                    await session.execute(
+                        delete(embedding.FlowPoolVector).where(embedding.FlowPoolVector.id == flow_id),
+                    )
                 await session.commit()
                 return
         logger.warning("[FlowLoader] 工作流文件不存在或不是文件：%s", flow_path)
@@ -257,6 +258,11 @@ class FlowLoader:
 
     async def _update_vector(self, app_id: uuid.UUID) -> None:
         """重新向量化指定App的所有工作流"""
+        # 检查 embedding 是否已初始化
+        if embedding.FlowPoolVector is None:
+            logger.warning("[FlowLoader] Embedding 未初始化，跳过向量化")
+            return
+
         # 从数据库加载该App的所有工作流
         async with postgres.session() as session:
             flows_query = select(FlowInfo).where(FlowInfo.appId == app_id)
@@ -288,6 +294,11 @@ class FlowLoader:
     @staticmethod
     async def set_vector() -> None:
         """将所有工作流的向量化数据存入数据库"""
+        # 检查 embedding 是否已初始化
+        if embedding.FlowPoolVector is None:
+            logger.warning("[FlowLoader] Embedding 未初始化，跳过向量化")
+            return
+
         flows = await FlowLoader._load_all_flows()
 
         # 为每个工作流更新向量数据
diff --git a/apps/scheduler/pool/loader/mcp.py b/apps/scheduler/pool/loader/mcp.py
index 999fccbea494511ef56e7baa43049d5321847619..0199bae1bcfc19827a31e1e8760c2dde4e8f532e 100644
--- a/apps/scheduler/pool/loader/mcp.py
+++ b/apps/scheduler/pool/loader/mcp.py
@@ -664,12 +664,14 @@ class MCPLoader:
 
         async with postgres.session() as session:
             for mcp_id in deleted_mcp_list:
-                await session.execute(
-                    delete(embedding.MCPVector).where(embedding.MCPVector.id == mcp_id),
-                )
-                await session.execute(
-                    delete(embedding.MCPToolVector).where(embedding.MCPToolVector.mcpId == mcp_id),
-                )
+                if embedding.MCPVector is not None:
+                    await session.execute(
+                        delete(embedding.MCPVector).where(embedding.MCPVector.id == mcp_id),
+                    )
+                if embedding.MCPToolVector is not None:
+                    await session.execute(
+                        delete(embedding.MCPToolVector).where(embedding.MCPToolVector.mcpId == mcp_id),
+                    )
             await session.commit()
             logger.info("[MCPLoader] 清除数据库中无效的MCP向量化数据")
 
diff --git a/apps/scheduler/pool/loader/service.py b/apps/scheduler/pool/loader/service.py
index 4a877009884c4176903ef37b9e61bc4215c77d7a..afe8ee387ba50985358117f017b0fc466d3606c7 100644
--- a/apps/scheduler/pool/loader/service.py
+++ b/apps/scheduler/pool/loader/service.py
@@ -112,14 +112,16 @@ class ServiceLoader:
             await session.execute(delete(ServiceACL).where(ServiceACL.serviceId == service_id))
             await session.execute(delete(ServiceHashes).where(ServiceHashes.serviceId == service_id))
 
-            await session.execute(
-                delete(embedding.ServicePoolVector).where(embedding.ServicePoolVector.id == service_id),
-            )
-            await session.execute(
-                delete(
-                    embedding.NodePoolVector,
-                ).where(embedding.NodePoolVector.serviceId == service_id),
-            )
+            if embedding.ServicePoolVector is not None:
+                await session.execute(
+                    delete(embedding.ServicePoolVector).where(embedding.ServicePoolVector.id == service_id),
+                )
+            if embedding.NodePoolVector is not None:
+                await session.execute(
+                    delete(
+                        embedding.NodePoolVector,
+                    ).where(embedding.NodePoolVector.serviceId == service_id),
+                )
             await session.commit()
 
         if not is_reload:
@@ -187,6 +189,13 @@ class ServiceLoader:
         service_description: str,
     ) -> None:
         """更新向量数据"""
+        # 检查 embedding 是否已初始化
+        if embedding.ServicePoolVector is None or embedding.NodePoolVector is None:
+            logger.warning(
+                "[ServiceLoader] Embedding 未初始化,跳过向量数据更新",
+            )
+            return
+
         # 检查表是否存在
         if not await _table_exists(embedding.ServicePoolVector.__tablename__):
             logger.warning(
diff --git a/data/semantics/service/test_service/metadata.yaml b/data/semantics/service/68e83905-a6fc-4acb-992c-550159e7b33e/metadata.yaml
similarity index 100%
rename from data/semantics/service/test_service/metadata.yaml
rename to data/semantics/service/68e83905-a6fc-4acb-992c-550159e7b33e/metadata.yaml
diff --git a/data/semantics/service/test_service/openapi/api.yaml b/data/semantics/service/68e83905-a6fc-4acb-992c-550159e7b33e/openapi/api.yaml
similarity index 100%
rename from data/semantics/service/test_service/openapi/api.yaml
rename to data/semantics/service/68e83905-a6fc-4acb-992c-550159e7b33e/openapi/api.yaml
diff --git a/data/sysagent.service b/data/sysagent.service
index 4f893444dffb621d71cda5f6c8002d03ceeca099..ca5a8e5999d7334c2c5789ca3fb27e0ba87f04ec 100644
--- a/data/sysagent.service
+++ b/data/sysagent.service
@@ -5,7 +5,7 @@ User=root
 WorkingDirectory=/usr/lib/sysagent
 Environment="PYTHONPATH=/usr/lib/sysagent"
 Environment="CONFIG=/etc/sysagent/config.toml"
-ExecStart=/usr/bin/python3 apps/main.py
+ExecStart=/usr/bin/python3 -m apps.main
 ExecReload=/bin/kill -HUP $MAINPID
 Restart=on-failure
 RestartSec=10