优化IO问题，使用异步方案进行视频下载等操作。

plugins/message_summary/main.py

@@ -4,7 +4,8 @@ import time
 from pathlib import Path
 from typing import Dict, Any, Tuple, Optional, List
 
-import requests
+import aiohttp
+from loguru import logger
 
 from base.plugin_common.message_plugin_interface import MessagePluginInterface
 from base.plugin_common.plugin_interface import PluginStatus
@@ -205,46 +206,45 @@ class MessageSummaryPlugin(MessagePluginInterface):
         }
 
         try:
-            # 发送POST请求
-            response = requests.post(self._api_url, headers=headers, json=data)
-            response.raise_for_status()  # 检查请求是否成功
+            async with aiohttp.ClientSession() as session:
+                async with session.post(self._api_url, headers=headers, json=data) as response:
+                    response.raise_for_status()  # 检查请求是否成功
+                    response_data = await response.json()
+                    
+                    self.LOG.info(f"Dify API响应状态码: {response.status}")
+                    self.LOG.debug(f"响应数据: {json.dumps(response_data, ensure_ascii=False, indent=2)}")
 
-            # 解析响应
-            response_data = response.json()
-            self.LOG.info(f"Dify API响应状态码: {response.status_code}")
-            self.LOG.debug(f"响应数据: {json.dumps(response_data, ensure_ascii=False, indent=2)}")
+                    # 提取回答内容
+                    answer = response_data.get("answer", "")
+                    # 去除广告内容pollinations.ai 的广告
+                    answer = remove_trailing_content(answer)
+                    spath = ""
+                    # 提取token使用情况
+                    metadata = response_data.get("metadata", {})
+                    usage = metadata.get("usage", {})
 
-            # 提取回答内容
-            answer = response_data.get("answer", "")
-            # 去除广告内容pollinations.ai 的广告
-            answer = remove_trailing_content(answer)
-            spath = ""
-            # 提取token使用情况
-            metadata = response_data.get("metadata", {})
-            usage = metadata.get("usage", {})
+                    if usage:
+                        prompt_tokens = usage.get("prompt_tokens", 0)
+                        completion_tokens = usage.get("completion_tokens", 0)
+                        total_tokens = usage.get("total_tokens", 0)
 
-            if usage:
-                prompt_tokens = usage.get("prompt_tokens", 0)
-                completion_tokens = usage.get("completion_tokens", 0)
-                total_tokens = usage.get("total_tokens", 0)
+                        # 添加token信息
+                        tokens_info = f"\n\n【tokens】输入: {prompt_tokens} 生成: {completion_tokens} 总: {total_tokens}"
+                        answer += tokens_info
+                        try:
+                            # 使用唯一文件名并指定完整路径
+                            timestamp = int(time.time())
+                            output_path = f"summary_{timestamp}.png"
+                            # 构建完整的输出路径
+                            spath = await convert_md_str_to_image(answer, output_path)
+                            self.LOG.info(f"成功生成图片: {spath}")
+                        except Exception as e:
+                            self.LOG.error(f"生成image失败:{e}", exc_info=True)
+                            spath = None
+                    # 返回文本内容和图片路径
+                    return answer, spath
 
-                # 添加token信息
-                tokens_info = f"\n\n【tokens】输入: {prompt_tokens} 生成: {completion_tokens} 总: {total_tokens}"
-                answer += tokens_info
-                try:
-                    # 使用唯一文件名并指定完整路径
-                    timestamp = int(time.time())
-                    output_path = f"summary_{timestamp}.png"
-                    # 构建完整的输出路径
-                    spath = await convert_md_str_to_image(answer, output_path)
-                    self.LOG.info(f"成功生成图片: {spath}")
-                except Exception as e:
-                    self.LOG.error(f"生成image失败:{e}", exc_info=True)
-                    spath = None
-            # 返回文本内容和图片路径
-            return answer, spath
-
-        except requests.exceptions.RequestException as e:
+        except aiohttp.ClientError as e:
             self.LOG.error(f"请求Dify API时出错: {e}")
             return f"生成总结时出错: {str(e)}", None