diff --git a/__pycache__/mcp_server.cpython-310.pyc b/__pycache__/mcp_server.cpython-310.pyc
index e06d1636..0d8d94d1 100644
Binary files a/__pycache__/mcp_server.cpython-310.pyc and b/__pycache__/mcp_server.cpython-310.pyc differ
diff --git a/mcp_server.py b/mcp_server.py
index 9889235d..c0e22a26 100644
--- a/mcp_server.py
+++ b/mcp_server.py
@@ -2549,8 +2549,15 @@ A股交易时间: 上午 9:30-11:30，下午 13:00-15:00
                 # 如果没有原生工具调用，尝试从文本内容中解析
                 if not native_tool_calls and assistant_message.content:
                     content = assistant_message.content
-                    # 检查是否包含工具调用标记
-                    if '<tool_call>' in content or '```tool_call' in content or '"tool":' in content:
+                    # 检查是否包含工具调用标记（包括 DSML 格式）
+                    has_tool_markers = (
+                        '<tool_call>' in content or
+                        '```tool_call' in content or
+                        '"tool":' in content or
+                        'DSML' in content or  # DeepSeek DSML 格式
+                        '｜DSML｜' in content  # 全角竖线版本
+                    )
+                    if has_tool_markers:
                         logger.info(f"[Agent Stream] 尝试从文本内容解析工具调用")
                         logger.info(f"[Agent Stream] 内容预览: {content[:500]}")
                         text_tool_calls = self._parse_text_tool_calls(content)
@@ -2947,6 +2954,7 @@ A股交易时间: 上午 9:30-11:30，下午 13:00-15:00
         支持的格式：
         1. <tool_call> <function=xxx> <parameter=yyy> value </parameter> </function> </tool_call>
         2. ```tool_call\n{"name": "xxx", "arguments": {...}}\n```
+        3. DeepSeek DSML 格式: <｜DSML｜function_calls> <｜DSML｜invoke name="xxx"> <｜DSML｜parameter name="yyy" string="true">value</｜DSML｜parameter> </｜DSML｜invoke> </｜DSML｜function_calls>
 
         返回: [{"name": "tool_name", "arguments": {...}}, ...]
         """
@@ -3006,6 +3014,47 @@ A股交易时间: 上午 9:30-11:30，下午 13:00-15:00
             except:
                 pass
 
+        # 格式4: DeepSeek DSML 格式（使用全角竖线 ｜）
+        # <｜DSML｜function_calls> <｜DSML｜invoke name="search_research_reports"> <｜DSML｜parameter name="query" string="true">AI概念股</｜DSML｜parameter> </｜DSML｜invoke> </｜DSML｜function_calls>
+        # 注意：｜ 是全角字符
+        dsml_pattern = r'<[｜\|]DSML[｜\|]function_calls>(.*?)</[｜\|]DSML[｜\|]function_calls>'
+        dsml_matches = re.findall(dsml_pattern, content, re.DOTALL)
+
+        for dsml_content in dsml_matches:
+            # 解析 invoke 标签
+            invoke_pattern = r'<[｜\|]DSML[｜\|]invoke\s+name="(\w+)">(.*?)</[｜\|]DSML[｜\|]invoke>'
+            invoke_matches = re.findall(invoke_pattern, dsml_content, re.DOTALL)
+
+            for func_name, params_str in invoke_matches:
+                arguments = {}
+                # 解析参数: <｜DSML｜parameter name="xxx" string="true/false">value</｜DSML｜parameter>
+                param_pattern = r'<[｜\|]DSML[｜\|]parameter\s+name="(\w+)"\s+string="(true|false)">(.*?)</[｜\|]DSML[｜\|]parameter>'
+                param_matches = re.findall(param_pattern, params_str, re.DOTALL)
+
+                for param_name, is_string, param_value in param_matches:
+                    param_value = param_value.strip()
+                    if is_string == "false":
+                        # 不是字符串，尝试解析为数字或 JSON
+                        try:
+                            arguments[param_name] = json.loads(param_value)
+                        except:
+                            # 尝试转为整数或浮点数
+                            try:
+                                arguments[param_name] = int(param_value)
+                            except:
+                                try:
+                                    arguments[param_name] = float(param_value)
+                                except:
+                                    arguments[param_name] = param_value
+                    else:
+                        # 是字符串
+                        arguments[param_name] = param_value
+
+                tool_calls.append({
+                    "name": func_name,
+                    "arguments": arguments
+                })
+
         logger.info(f"[Text Tool Call] 解析到 {len(tool_calls)} 个工具调用: {tool_calls}")
         return tool_calls