diff --git a/backend-single/src/main/java/com/emotion/service/impl/AiChatServiceImpl.java b/backend-single/src/main/java/com/emotion/service/impl/AiChatServiceImpl.java
index 4941aea..9bd6753 100644
--- a/backend-single/src/main/java/com/emotion/service/impl/AiChatServiceImpl.java
+++ b/backend-single/src/main/java/com/emotion/service/impl/AiChatServiceImpl.java
@@ -2667,7 +2667,12 @@ public class AiChatServiceImpl implements AiChatService {
             if (response.statusCode() != 200) {
                 String errorBody = response.body().collect(java.util.stream.Collectors.joining("\n"));
                 log.error("工作流请求失败，状态码: {}, 响应: {}", response.statusCode(), errorBody);
-                apiCall.setResponseBody(errorBody);
+                // 将错误响应包装成JSON格式存储
+                Map<String, Object> errorWrapper = new HashMap<>();
+                errorWrapper.put("type", "error");
+                errorWrapper.put("data", errorBody);
+                errorWrapper.put("timestamp", System.currentTimeMillis());
+                apiCall.setResponseBody(JSON.toJSONString(errorWrapper));
                 cozeApiCallService.updateById(apiCall);
                 throw new RuntimeException("工作流请求失败，状态码: " + response.statusCode());
             }
@@ -2755,9 +2760,13 @@ public class AiChatServiceImpl implements AiChatService {
             }
         }
         
-        // 保存原始响应数据到API调用记录
+        // 保存原始响应数据到API调用记录（包装成JSON格式）
         try {
-            apiCall.setResponseBody(fullStreamData.toString());
+            Map<String, Object> streamDataWrapper = new HashMap<>();
+            streamDataWrapper.put("type", "workflow_stream");
+            streamDataWrapper.put("data", fullStreamData.toString());
+            streamDataWrapper.put("timestamp", System.currentTimeMillis());
+            apiCall.setResponseBody(JSON.toJSONString(streamDataWrapper));
             cozeApiCallService.updateById(apiCall);
         } catch (Exception e) {
             log.error("保存工作流响应数据失败: {}", e.getMessage(), e);