diff --git a/apps/knowledge/serializers/document.py b/apps/knowledge/serializers/document.py
index 1e9eeb05..5728b711 100644
--- a/apps/knowledge/serializers/document.py
+++ b/apps/knowledge/serializers/document.py
@@ -880,11 +880,6 @@ class DocumentSerializers(serializers.Serializer):
         @post(post_function=post_embedding)
         @transaction.atomic
         def save(self, instance: Dict, with_valid=False, **kwargs):
-            # 添加调试日志
-            from common.utils.logger import maxkb_logger
-            maxkb_logger.info(f"Save called with instance keys: {list(instance.keys())}")
-            maxkb_logger.info(f"save method - limit: {instance.get('limit')}, split_patterns: {instance.get('patterns')}, with_filter: {instance.get('with_filter')}")
-
             # 确保分块参数使用正确的键名
             # 前端传递的是 limit, patterns, with_filter
             # 我们需要将其转换为 split_limit, split_patterns, split_with_filter
@@ -1256,21 +1251,36 @@ class DocumentSerializers(serializers.Serializer):
             document_model_list = []
             paragraph_model_list = []
             problem_paragraph_object_list = []
-            
+
             # 处理MinerU类型和音视频类型的文档
             from common.utils.logger import maxkb_logger
             import os
-            
+
             # 添加详细日志
             maxkb_logger.info(f"batch_save called with workspace_id: {workspace_id}, knowledge_id: {knowledge_id}")
             maxkb_logger.info(f"instance_list contains {len(instance_list)} documents")
+
+            # 在处理文档之前，先确保所有分块参数都被正确转换
             for idx, doc in enumerate(instance_list):
+                # 确保分块参数使用正确的键名
+                # 前端传递的是 limit, patterns, with_filter
+                # 我们需要将其转换为 split_limit, split_patterns, split_with_filter
+                if doc.get('limit') is not None:
+                    doc['split_limit'] = doc.get('limit')
+                    maxkb_logger.info(f"Document {idx}: Converting limit={doc.get('limit')} to split_limit")
+                if doc.get('patterns') is not None:
+                    doc['split_patterns'] = doc.get('patterns')
+                    maxkb_logger.info(f"Document {idx}: Converting patterns={doc.get('patterns')} to split_patterns")
+                if doc.get('with_filter') is not None:
+                    doc['split_with_filter'] = doc.get('with_filter')
+                    maxkb_logger.info(f"Document {idx}: Converting with_filter={doc.get('with_filter')} to split_with_filter")
+
                 maxkb_logger.info(f"Document {idx}: {doc.keys()}")
                 if 'stt_model_id' in doc:
                     maxkb_logger.info(f"  - stt_model_id present: {doc['stt_model_id']}")
                 if 'llm_model_id' in doc:
                     maxkb_logger.info(f"  - llm_model_id present: {doc['llm_model_id']}")
-            
+
             for document in instance_list:
                 # 检查是否是MinerU类型的文档（需要同时有llm_model_id和vision_model_id）
                 llm_model_id = document.get('llm_model_id')
@@ -1296,16 +1306,6 @@ class DocumentSerializers(serializers.Serializer):
             
             # 插入文档
             for document in instance_list:
-                # 确保分块参数使用正确的键名
-                # 前端传递的是 limit, patterns, with_filter
-                # 我们需要将其转换为 split_limit, split_patterns, split_with_filter
-                if document.get('limit') is not None:
-                    document['split_limit'] = document.get('limit')
-                if document.get('patterns') is not None:
-                    document['split_patterns'] = document.get('patterns')
-                if document.get('with_filter') is not None:
-                    document['split_with_filter'] = document.get('with_filter')
-
                 maxkb_logger.info(f"Processing document: {document.get('name')}, paragraphs count: {len(document.get('paragraphs', []))}")
                 maxkb_logger.info(f"Document split params - split_limit: {document.get('split_limit')}, split_patterns: {document.get('split_patterns')}, split_with_filter: {document.get('split_with_filter')}")
                 document_paragraph_dict_model = DocumentSerializers.Create.get_document_paragraph_model(