diff --git a/dsLightRag/JiMeng/Kit/FenJingTouGenerator.py b/dsLightRag/JiMeng/Kit/FenJingTouGenerator.py
new file mode 100644
index 00000000..a4eabf07
--- /dev/null
+++ b/dsLightRag/JiMeng/Kit/FenJingTouGenerator.py
@@ -0,0 +1,118 @@
+import json
+import requests
+import logging
+
+from JiMeng.Kit.VolcanoConst import VOLCANO_API_KEY
+
+# 配置日志
+logger = logging.getLogger(__name__)
+logger.level = logging.INFO
+console_handler = logging.StreamHandler()
+console_handler.setLevel(logging.INFO)
+formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+console_handler.setFormatter(formatter)
+logger.addHandler(console_handler)
+
+class FenJingTouGenerator:
+    def __init__(self, api_key=VOLCANO_API_KEY):
+        """
+        初始化分镜头提示词生成器
+        :param api_key: 火山引擎API密钥
+        """
+        self.api_key = api_key
+        self.url = 'https://ark.cn-beijing.volces.com/api/v3/chat/completions'
+        self.headers = {
+            'Content-Type': 'application/json',
+            'Authorization': f'Bearer {self.api_key}'
+        }
+        self.model = 'doubao-1-5-vision-pro-32k-250115'
+
+    def generate_fen_jing_tou(self, image_url, prompt_text, timeout=60):
+        """
+        生成分镜头提示词
+        :param image_url: 首帧图片URL
+        :param prompt_text: 提示文本
+        :param timeout: 请求超时时间(秒)
+        :return: 生成的分镜头提示词内容，如果失败则返回None
+        """
+        # 构建请求体
+        payload = {
+            'model': self.model,
+            'messages': [
+                {
+                    'content': [
+                        {
+                            'image_url': {
+                                'url': image_url
+                            },
+                            'type': 'image_url'
+                        },
+                        {
+                            'text': prompt_text,
+                            'type': 'text'
+                        }
+                    ],
+                    'role': 'user'
+                }
+            ]
+        }
+
+        try:
+            # 发送POST请求
+            response = requests.post(
+                self.url,
+                headers=self.headers,
+                data=json.dumps(payload),
+                timeout=timeout
+            )
+            # 检查响应状态码
+            response.raise_for_status()
+            # 解析响应数据
+            result = response.json()
+
+            # 提取生成的内容
+            if 'choices' in result and len(result['choices']) > 0:
+                choice = result['choices'][0]
+                if 'message' in choice and 'content' in choice['message']:
+                    content = choice['message']['content']
+                    logger.info(f'分镜头提示词生成成功')
+                    return content
+                else:
+                    logger.error('响应中未找到message或content字段')
+                    return None
+            else:
+                logger.error('响应中未找到choices字段或choices为空')
+                return None
+
+        except requests.exceptions.RequestException as e:
+            logger.error(f'请求发生错误: {e}')
+            if hasattr(e, 'response') and e.response is not None:
+                logger.error(f'错误响应状态码: {e.response.status_code}')
+                logger.error(f'错误响应内容: {e.response.text}')
+            return None
+
+        except json.JSONDecodeError:
+            logger.error('响应解析失败: 返回的内容不是有效的JSON格式')
+            if 'response' in locals():
+                logger.error(f'响应内容: {response.text}')
+            return None
+
+
+
+
+if __name__ == '__main__':
+    # 创建实例并运行
+    generator = FenJingTouGenerator()
+
+    """主函数，用于测试分镜头提示词生成功能"""
+    image_url = 'https://dsideal.obs.cn-north-1.myhuaweicloud.com/HuangHai/JiMeng/d4186502-5d6e-404b-890c-1f40fbbc1728.jpg'
+    prompt_text = '以这张图片为首帧，帮我生成一个5秒的视频提示词。提示词包括：镜号、运镜、画面内容'
+
+    # 生成分镜头提示词
+    content = generator.generate_fen_jing_tou(image_url, prompt_text)
+
+    # 打印结果
+    if content:
+        print(content)
+    else:
+        print('分镜头提示词生成失败')
\ No newline at end of file
diff --git a/dsLightRag/JiMeng/T2_GenerateFenJingTou.py b/dsLightRag/JiMeng/T2_GenerateFenJingTou.py
deleted file mode 100644
index e5dafd16..00000000
--- a/dsLightRag/JiMeng/T2_GenerateFenJingTou.py
+++ /dev/null
@@ -1,64 +0,0 @@
-import json
-import requests
-
-from JiMeng.Kit.VolcanoConst import VOLCANO_API_KEY
-
-# API请求URL
-url = 'https://ark.cn-beijing.volces.com/api/v3/chat/completions'
-
-# 请求头
-headers = {
-    'Content-Type': 'application/json',
-    'Authorization': f'Bearer {VOLCANO_API_KEY}'
-}
-
-# 请求体数据
-payload = {
-    'model': 'doubao-1-5-vision-pro-32k-250115',
-    'messages': [
-        {
-            'content': [
-                {
-                    'image_url': {
-                        'url': 'https://dsideal.obs.cn-north-1.myhuaweicloud.com/HuangHai/Backup/Text2Img.jpg'
-                    },
-                    'type': 'image_url'
-                },
-                {
-                    'text': '以这张图片为首帧，帮我生成一个5秒的视频提示词。提示词包括：镜号、运镜、画面内容',
-                    'type': 'text'
-                }
-            ],
-            'role': 'user'
-        }
-    ]
-}
-
-# 发送POST请求
-try:
-    response = requests.post(url, headers=headers, data=json.dumps(payload), timeout=60)
-    # 检查响应状态码
-    response.raise_for_status()
-    # 解析响应数据
-    result = response.json()
-
-    # 提取choices[0].message.content的内容
-    if 'choices' in result and len(result['choices']) > 0:
-        choice = result['choices'][0]
-        if 'message' in choice and 'content' in choice['message']:
-            content = choice['message']['content']
-            print(content)
-        else:
-            print('响应中未找到message或content字段')
-    else:
-        print('响应中未找到choices字段或choices为空')
-
-except requests.exceptions.RequestException as e:
-    print(f'请求发生错误: {e}')
-    if hasattr(e, 'response') and e.response is not None:
-        print(f'错误响应状态码: {e.response.status_code}')
-        print(f'错误响应内容: {e.response.text}')
-
-except json.JSONDecodeError:
-    print('响应解析失败: 返回的内容不是有效的JSON格式')
-    print(f'响应内容: {response.text}')
\ No newline at end of file