diff --git a/server/routers/chat_router.py b/server/routers/chat_router.py
index c66c0b05..49d786d9 100644
--- a/server/routers/chat_router.py
+++ b/server/routers/chat_router.py
@@ -741,11 +741,11 @@ async def update_thread(
     )
 
 
-
 # ================================
 # > === 附件管理分组 ===
 # ================================
 
+
 @chat.post("/thread/{thread_id}/attachments", response_model=AttachmentResponse)
 async def upload_thread_attachment(
     thread_id: str,
diff --git a/src/agents/deep_agent/graph.py b/src/agents/deep_agent/graph.py
index 582841ac..422c5d3e 100644
--- a/src/agents/deep_agent/graph.py
+++ b/src/agents/deep_agent/graph.py
@@ -14,6 +14,7 @@ from src.agents.common.backends import create_agent_composite_backend
 from src.agents.common.middlewares import RuntimeConfigMiddleware, SummaryOffloadMiddleware, save_attachments_to_fs
 from src.agents.common.tools import get_tavily_search
 from src.services.mcp_service import get_tools_from_all_servers
+from src.utils import logger
 
 
 from .context import DeepContext
@@ -83,11 +84,14 @@ class DeepAgent(BaseAgent):
         if tavily_search:
             tools.append(tavily_search)
 
-        # Assert that search tool is available for DeepAgent
-        assert tools, (
-            "DeepAgent requires at least one search tool. "
-            "Please configure TAVILY_API_KEY environment variable to enable web search."
-        )
+        # # Assert that search tool is available for DeepAgent
+        # assert tools, (
+        #     "DeepAgent requires at least one search tool. "
+        #     "Please configure TAVILY_API_KEY environment variable to enable web search."
+        # )
+        if not tools:
+            logger.warning("No search tools configured, DeepAgent will work without web search")
+            tools = []
         return tools
 
     async def get_graph(self, **kwargs):
diff --git a/src/models/embed.py b/src/models/embed.py
index f05ca5a7..d3c6d9ef 100644
--- a/src/models/embed.py
+++ b/src/models/embed.py
@@ -88,17 +88,32 @@ class BaseEmbeddingModel(ABC):
             task_id = hashstr(messages)
             self.embed_state[task_id] = {"status": "in-progress", "total": len(messages), "progress": 0}
 
-        tasks = []
+        # 保留原有逻辑：
+        # 使用 asyncio.gather 并发执行所有 embedding 批次请求：
+        # tasks = []
+        # for i in range(0, len(messages), batch_size):
+        #     group_msg = messages[i : i + batch_size]
+        #     tasks.append(self.aencode(group_msg))
+
+        # results = await asyncio.gather(*tasks)
+        # for res in results:
+        #     data.extend(res)
+
+        # if task_id:
+        #     self.embed_state[task_id]["progress"] = len(messages)
+        #     self.embed_state[task_id]["status"] = "completed"
+
+        # return data
+
         for i in range(0, len(messages), batch_size):
             group_msg = messages[i : i + batch_size]
-            tasks.append(self.aencode(group_msg))
-
-        results = await asyncio.gather(*tasks)
-        for res in results:
+            logger.info(f"Async encoding [{i}/{len(messages)}] messages (bsz={batch_size})")
+            res = await self.aencode(group_msg)
             data.extend(res)
+            if task_id:
+                self.embed_state[task_id]["progress"] = i + len(group_msg)
 
         if task_id:
-            self.embed_state[task_id]["progress"] = len(messages)
             self.embed_state[task_id]["status"] = "completed"
 
         return data