chore: release v3.4.14.3 (#1358)

* feat(gewechat): 重构target2yiri代码+引用消息展开

* feat(gewe): 引用消息，图片视频音频是单独的类型

.gitignore

@@ -38,5 +38,5 @@ botpy.log*
 /poc
 /libs/wecom_api/test.py
 /venv
-/jp-tyo-churros-05.rockchin.top
 test.py
+/web_ui

README.md

@@ -8,7 +8,7 @@
 
 <a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
-<a href="https://docs.langbot.app">项目主页</a> ｜
+<a href="https://langbot.app">项目主页</a> ｜
 <a href="https://docs.langbot.app/insight/intro.html">功能介绍</a> ｜
 <a href="https://docs.langbot.app/insight/guide.html">部署文档</a> ｜
 <a href="https://docs.langbot.app/usage/faq.html">常见问题</a> ｜
@@ -110,6 +110,7 @@
 | [Anthropic](https://www.anthropic.com/) | ✅ |  |
 | [xAI](https://x.ai/) | ✅ |  |
 | [智谱AI](https://open.bigmodel.cn/) | ✅ |  |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型和 GPU 资源平台 |
 | [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
 | [Ollama](https://ollama.com/) | ✅ | 本地大模型运行平台 |
 | [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 |

README_EN.md

@@ -7,7 +7,7 @@
 
 <a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
-<a href="https://docs.langbot.app">Home</a> ｜
+<a href="https://langbot.app">Home</a> ｜
 <a href="https://docs.langbot.app/insight/intro.html">Features</a> ｜
 <a href="https://docs.langbot.app/insight/guide.html">Deployment</a> ｜
 <a href="https://docs.langbot.app/usage/faq.html">FAQ</a> ｜
@@ -45,6 +45,7 @@
 >
 > - Before you start deploying in any way, please read the [New User Guide](https://docs.langbot.app/insight/guide.html).  
 > - All documentation is in Chinese, we will provide i18n version in the near future.
+> - Read [the auto-generated wiki on DeepWiki](https://deepwiki.com/RockChinQ/LangBot).
 
 #### Docker Compose Deployment
 
@@ -108,6 +109,7 @@ Directly use the released version to run, see the [Manual Deployment](https://do
 | [xAI](https://x.ai/) | ✅ |  |
 | [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
 | [Dify](https://dify.ai) | ✅ | LLMOps platform |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | LLM and GPU resource platform |
 | [Ollama](https://ollama.com/) | ✅ | Local LLM running platform |
 | [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
 | [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) |

README_JP.md

@@ -7,7 +7,7 @@
 
 <a href="https://trendshift.io/repositories/12901" target="_blank"><img src="https://trendshift.io/api/badge/repositories/12901" alt="RockChinQ%2FLangBot | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
-<a href="https://docs.langbot.app">ホーム</a> ｜
+<a href="https://langbot.app">ホーム</a> ｜
 <a href="https://docs.langbot.app/insight/intro.html">機能</a> ｜
 <a href="https://docs.langbot.app/insight/guide.html">デプロイ</a> ｜
 <a href="https://docs.langbot.app/usage/faq.html">FAQ</a> ｜
@@ -44,6 +44,7 @@
 >
 > - どのデプロイ方法を始める前に、必ず[新規ユーザーガイド](https://docs.langbot.app/insight/guide.html)をお読みください。  
 > - すべてのドキュメントは中国語で提供されています。近い将来、i18nバージョンを提供する予定です。
+> - Read [the auto-generated wiki on DeepWiki](https://deepwiki.com/RockChinQ/LangBot)。
 
 #### Docker Compose デプロイ
 
@@ -106,6 +107,7 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
 | [Anthropic](https://www.anthropic.com/) | ✅ |  |
 | [xAI](https://x.ai/) | ✅ |  |
 | [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [PPIO](https://ppinfra.com/user/register?invited_by=QJKFYD&utm_source=github_langbot) | ✅ | 大模型とGPUリソースプラットフォーム |
 | [Dify](https://dify.ai) | ✅ | LLMOpsプラットフォーム |
 | [Ollama](https://ollama.com/) | ✅ | ローカルLLM実行プラットフォーム |
 | [LMStudio](https://lmstudio.ai/) | ✅ | ローカルLLM実行プラットフォーム |

libs/wecom_customer_service_api/api.py

@@ -71,6 +71,8 @@ class WecomCSClient():
     
     async def get_detailed_message_list(self,xml_msg:str):
         # 在本方法中解析消息，并且获得消息的具体内容
+        if isinstance(xml_msg, bytes):
+            xml_msg = xml_msg.decode('utf-8')
         root = ET.fromstring(xml_msg)
         token = root.find("Token").text
         open_kfid = root.find("OpenKfId").text
@@ -92,11 +94,12 @@ class WecomCSClient():
             }
             response = await client.post(url,json=params)
             data = response.json()
-            if data['errcode'] != 0:
-                raise Exception("Failed to get message")
             if data['errcode'] == 40014 or data['errcode'] == 42001:
                 self.access_token = await self.get_access_token(self.secret)
                 return await self.get_detailed_message_list(xml_msg)
+            if data['errcode'] != 0:
+                raise Exception("Failed to get message")
+            
             last_msg_data = data['msg_list'][-1]
             open_kfid = last_msg_data.get("open_kfid")
             # 进行获取图片操作
@@ -182,8 +185,11 @@ class WecomCSClient():
             response = await client.post(url, json=payload)
 
             data = response.json()
-            if data.get("errcode") != 0:
+            if data['errcode'] == 40014 or data['errcode'] == 42001:
-                raise Exception(f"消息发送失败: {data}")
+                self.access_token = await self.get_access_token(self.secret)
+                return await self.send_text_msg(open_kfid,external_userid,msgid,content)
+            if data['errcode'] != 0:
+                raise Exception("Failed to send message")
             return data
 
 

pkg/core/migrations/m039_modelscope_cfg_completion.py

@@ -3,9 +3,9 @@ from __future__ import annotations
 from .. import migration
 
 
-@migration.migration_class("modelscope-config-completion", 4)
+@migration.migration_class("modelscope-config-completion", 39)
 class ModelScopeConfigCompletionMigration(migration.Migration):
-    """OpenAI配置迁移
+    """ModelScope配置迁移
     """
 
     async def need_migrate(self) -> bool:

pkg/core/migrations/m040_ppio_config.py

@@ -0,0 +1,30 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("ppio-config", 40)
+class PPIOConfigMigration(migration.Migration):
+    """PPIO配置迁移
+    """
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移
+        """
+        return 'ppio-chat-completions' not in self.ap.provider_cfg.data['requester'] \
+            or 'ppio' not in self.ap.provider_cfg.data['keys']
+
+    async def run(self):
+        """执行迁移
+        """
+        if 'ppio-chat-completions' not in self.ap.provider_cfg.data['requester']:
+            self.ap.provider_cfg.data['requester']['ppio-chat-completions'] = {
+                'base-url': 'https://api.ppinfra.com/v3/openai',
+                'args': {},
+                'timeout': 120,
+            }
+
+        if 'ppio' not in self.ap.provider_cfg.data['keys']:
+            self.ap.provider_cfg.data['keys']['ppio'] = []
+
+        await self.ap.provider_cfg.dump_config()

pkg/core/stages/migrate.py

@@ -12,7 +12,7 @@ from ..migrations import m020_wecom_config, m021_lark_config, m022_lmstudio_conf
 from ..migrations import m026_qqofficial_config, m027_wx_official_account_config, m028_aliyun_requester_config
 from ..migrations import m029_dashscope_app_api_config, m030_lark_config_cmpl, m031_dingtalk_config, m032_volcark_config
 from ..migrations import m033_dify_thinking_config, m034_gewechat_file_url_config, m035_wxoa_mode, m036_wxoa_loading_message
-from ..migrations import m037_mcp_config, m038_tg_dingtalk_markdown, m039_modelscope_cfg_completion
+from ..migrations import m037_mcp_config, m038_tg_dingtalk_markdown, m039_modelscope_cfg_completion, m040_ppio_config
 
 
 @stage.stage_class("MigrationStage")

pkg/platform/sources/gewechat.py

@@ -1,5 +1,3 @@
-from __future__ import annotations
-
 import gewechat_client
 
 import typing
@@ -26,7 +24,8 @@ from ..types import events as platform_events
 from ..types import entities as platform_entities
 from ...utils import image
 import xml.etree.ElementTree as ET
-
+from typing import Optional, List, Tuple
+from functools import partial
 
 class GewechatMessageConverter(adapter.MessageConverter):
 
@@ -58,168 +57,367 @@ class GewechatMessageConverter(adapter.MessageConverter):
             elif isinstance(component, platform_message.WeChatLink):
                 content_list.append({'type': 'WeChatLink', 'link_title': component.link_title, 'link_desc': component.link_desc,
                                      'link_thumb_url': component.link_thumb_url, 'link_url': component.link_url})
-
+            elif isinstance(component, platform_message.WeChatForwardLink):
-
+                content_list.append({'type': 'WeChatForwardLink', 'xml_data': component.xml_data})
             elif isinstance(component, platform_message.Voice):
                 content_list.append({"type": "voice", "url": component.url, "length": component.length})       
+            elif isinstance(component, platform_message.WeChatForwardImage):
+                content_list.append({'type': 'WeChatForwardImage', 'xml_data': component.xml_data})
+            elif isinstance(component, platform_message.WeChatForwardFile):
+                content_list.append({'type': 'WeChatForwardFile', 'xml_data': component.xml_data})
+            elif isinstance(component, platform_message.WeChatAppMsg):
+                content_list.append({'type': 'WeChatAppMsg', 'app_msg': component.app_msg})               
             elif isinstance(component, platform_message.Forward):
                 for node in component.node_list:
-                    content_list.extend(await GewechatMessageConverter.yiri2target(node.message_chain))
+                    if node.message_chain:
+                        content_list.extend(await GewechatMessageConverter.yiri2target(node.message_chain))
 
         return content_list
 
+
     async def target2yiri(
         self,
         message: dict,
         bot_account_id: str
     ) -> platform_message.MessageChain:
+        """外部消息转平台消息"""
+        # 数据预处理
+        message_list = []
+        ats_bot = False # 是否被@
+        content = message["Data"]["Content"]["string"]
+        content_no_preifx = content  # 群消息则去掉前缀
+        is_group_message = self._is_group_message(message)
+        if is_group_message:
+            ats_bot = self._ats_bot(message, bot_account_id)
+            if "@所有人" in content:
+                message_list.append(platform_message.AtAll())
+            elif ats_bot:
+                message_list.append(platform_message.At(target=bot_account_id))
+            content_no_preifx, _ = self._extract_content_and_sender(content)
 
+        msg_type = message["Data"]["MsgType"]
 
+        # 映射消息类型到处理器方法
+        handler_map = {
+            1: self._handler_text,
+            3: self._handler_image,
+            34: self._handler_voice,
+            49: self._handler_compound,  # 复合类型
+        }
 
-        if message["Data"]["MsgType"] == 1:
+        # 分派处理
-            # 检查消息开头，如果有 wxid_sbitaz0mt65n22:\n 则删掉
+        handler = handler_map.get(msg_type, self._handler_default)
-            regex = re.compile(r"^wxid_.*:")
+        handler_result = await handler(
-            # print(message)
+            message = message,  # 原始的message
+            content_no_preifx = content_no_preifx,  # 处理后的content
+        )
         
-            line_split = message["Data"]["Content"]["string"].split("\n")
+        if handler_result and len(handler_result) > 0:
+            message_list.extend(handler_result)
         
-            if len(line_split) > 0 and regex.match(line_split[0]):
+        return platform_message.MessageChain(message_list)
-                message["Data"]["Content"]["string"] = "\n".join(line_split[1:])
 
-
+    async def _handler_text(
-            # 正则表达式模式，匹配'@'后跟任意数量的非空白字符
+        self, 
+        message: Optional[dict],
+        content_no_preifx: str
+    ) -> platform_message.MessageChain:
+        """处理文本消息 (msg_type=1)"""
+        if message and self._is_group_message(message):
             pattern = r'@\S+'
-            at_string = f"@{bot_account_id}"
+            content_no_preifx = re.sub(pattern, '', content_no_preifx)
-            content_list = []
-            if at_string in message["Data"]["Content"]["string"]:
-                content_list.append(platform_message.At(target=bot_account_id))
-                content_list.append(platform_message.Plain(message["Data"]["Content"]["string"].replace(at_string, '', 1)))
-            # 更优雅的替换改名后@机器人，仅仅限于单独AT的情况
-            elif "PushContent" in message['Data'] and '在群聊中@了你' in message["Data"]["PushContent"]:
-                if '@所有人' in message["Data"]["Content"]["string"]:  # at全员时候传入atll不当作at自己
-                    content_list.append(platform_message.AtAll())
-                else:
-                    content_list.append(platform_message.At(target=bot_account_id))
-                content_list.append(platform_message.Plain(re.sub(pattern, '', message["Data"]["Content"]["string"])))
-            else:
-                content_list = [platform_message.Plain(message["Data"]["Content"]["string"])]
         
-            return platform_message.MessageChain(content_list)
+        return platform_message.MessageChain([platform_message.Plain(content_no_preifx)])
     
-        elif message["Data"]["MsgType"] == 3:
+    async def _handler_image(
-            image_xml = message["Data"]["Content"]["string"]
+        self,
+        message: Optional[dict],
+        content_no_preifx: str
+    ) -> platform_message.MessageChain:
+        """处理图像消息 (msg_type=3)"""
+        try:
+            image_xml = content_no_preifx
             if not image_xml:
-                return platform_message.MessageChain([
+                return platform_message.MessageChain([platform_message.Unknown("[图片内容为空]")])
-                    platform_message.Plain(text="[图片内容为空]")
-                ])
             
-
+            base64_str, image_format = await image.get_gewechat_image_base64(
-            try:
+                gewechat_url=self.config["gewechat_url"],
-                base64_str, image_format = await image.get_gewechat_image_base64(
+                gewechat_file_url=self.config["gewechat_file_url"],
-                    gewechat_url=self.config["gewechat_url"],
+                app_id=self.config["app_id"],
-                    gewechat_file_url=self.config["gewechat_file_url"],
+                xml_content=image_xml,
-                    app_id=self.config["app_id"],
+                token=self.config["token"],
-                    xml_content=image_xml,
+                image_type=2,
-                    token=self.config["token"],
-                    image_type=2,
-                )
-
-                return platform_message.MessageChain([
-                    platform_message.Image(
-                        base64=f"data:image/{image_format};base64,{base64_str}"
-                    )
-                ])
-            except Exception as e:
-                print(f"处理图片消息失败: {str(e)}")
-                return platform_message.MessageChain([
-                    platform_message.Plain(text=f"[图片处理失败]")
-                ])
-        elif message["Data"]["MsgType"] == 34:
-            audio_base64 = message["Data"]["ImgBuf"]["buffer"]
-            return platform_message.MessageChain(
-                [platform_message.Voice(base64=f"data:audio/silk;base64,{audio_base64}")]
             )
-        elif message["Data"]["MsgType"] == 49:
+
-            # 支持微信聊天记录的消息类型，将 XML 内容转换为 MessageChain 传递
+            elements = [
+                platform_message.Image(base64=f"data:image/{image_format};base64,{base64_str}"),
+                platform_message.WeChatForwardImage(xml_data=image_xml) # 微信消息转发
+            ]
+            return platform_message.MessageChain(elements)
+        except Exception as e:
+            print(f"处理图片失败: {str(e)}")
+            return platform_message.MessageChain([platform_message.Unknown("[图片处理失败]")])
+    
+    async def _handler_voice(
+        self,
+        message: Optional[dict],
+        content_no_preifx: str
+    ) -> platform_message.MessageChain:
+        """处理语音消息 (msg_type=34)"""
+        message_List = []
+        try:
+            # 从消息中提取语音数据（需根据实际数据结构调整字段名）
+            audio_base64 = message["Data"]["ImgBuf"]["buffer"]
+            
+            # 验证语音数据有效性
+            if not audio_base64:
+                message_List.append(platform_message.Unknown(text="[语音内容为空]"))
+                return platform_message.MessageChain(message_List)
+            
+            # 转换为平台支持的语音格式（如 Silk 格式）
+            voice_element = platform_message.Voice(
+                base64=f"data:audio/silk;base64,{audio_base64}"
+            )
+            message_List.append(voice_element)
+            
+        except KeyError as e:
+            print(f"语音数据字段缺失: {str(e)}")
+            message_List.append(platform_message.Unknown(text="[语音数据解析失败]"))
+        except Exception as e:
+            print(f"处理语音消息异常: {str(e)}")
+            message_List.append(platform_message.Unknown(text="[语音处理失败]"))
+        
+        return platform_message.MessageChain(message_List)
+
+
+    async def _handler_compound(
+        self,
+        message: Optional[dict],
+        content_no_preifx: str
+    ) -> platform_message.MessageChain:
+        """处理复合消息 (msg_type=49)，根据子类型分派"""
+        try:
+            xml_data = ET.fromstring(content_no_preifx)
+            appmsg_data = xml_data.find('.//appmsg')
+            data_type = appmsg_data.findtext('.//type', "")
+
+            # 二次分派处理器
+            sub_handler_map = {
+                '57': self._handler_compound_quote,
+                '5': self._handler_compound_link,
+                '6': self._handler_compound_file,
+                '33': self._handler_compound_mini_program,
+                '36': self._handler_compound_mini_program,
+                '2000': partial(self._handler_compound_unsupported, text="[转账消息]"),
+                '2001': partial(self._handler_compound_unsupported, text="[红包消息]"),
+                '51': partial(self._handler_compound_unsupported, text="[视频号消息]"),
+            }
+            
+            handler = sub_handler_map.get(data_type, self._handler_compound_unsupported)
+            return await handler(
+                message=message,        #原始msg
+                xml_data=xml_data,      # xml数据
+            )
+        except Exception as e:
+            print(f"解析复合消息失败: {str(e)}")
+            return platform_message.MessageChain([platform_message.Unknown(text=content_no_preifx)])
+    
+    async def _handler_compound_quote(
+        self,
+        message: Optional[dict],
+        xml_data: ET.Element
+    ) -> platform_message.MessageChain:
+        """处理引用消息 (data_type=57)"""
+        # print("_handler_compound_quote", ET.tostring(xml_data, encoding='unicode'))
+        appmsg_data = xml_data.find('.//appmsg')
+        quote_data = ""  # 引用原文
+        quote_id = None  # 引用消息的原发送者
+        tousername = None # 接收方: 所属微信的wxid
+        user_data = "" # 用户消息
+        sender_id = xml_data.findtext('.//fromusername')   # 发送方：单聊用户/群member
+        if appmsg_data:
+            user_data = appmsg_data.findtext('.//title') or "" 
+            quote_data = appmsg_data.find('.//refermsg').findtext('.//content')
+            quote_id = appmsg_data.find('.//refermsg').findtext('.//chatusr')  
+        if message:
+            tousername = message['Wxid']                       
+
+        message_list = []
+        # quote_data原始的消息
+        if quote_data:
+            quote_data_message_list = platform_message.MessageChain()
+            # 文本消息
             try:
-                content = message["Data"]["Content"]["string"]
+                if "<msg>" not in quote_data:
-                # 有三种可能的消息结构weid开头，私聊直接<?xml>和直接<msg>
+                    quote_data_message_list.append(platform_message.Plain(quote_data))
-                if content.startswith('wxid'):
-                    xml_list = content.split('\n')[2:]
-                    xml_data = '\n'.join(xml_list)
-                elif content.startswith('<?xml'):
-                    xml_list = content.split('\n')[1:]
-                    xml_data = '\n'.join(xml_list)
                 else:
-                    xml_data = content
+                    # 引用消息展开
-
+                    quote_data_xml = ET.fromstring(quote_data)
-                content_data = ET.fromstring(xml_data)
+                    if quote_data_xml.find("img"):
-                # print(xml_data)
+                        quote_data_message_list.extend(await self._handler_image(None, quote_data))
-                # 拿到细分消息类型，按照gewe接口中描述
+                    elif quote_data_xml.find("voicemsg"):
-                '''
+                        quote_data_message_list.extend(await self._handler_voice(None, quote_data))
-                小程序：33/36
+                    elif quote_data_xml.find("videomsg"):
-                引用消息：57
+                        quote_data_message_list.extend(await self._handler_default(None, quote_data)) # 先不处理
-                转账消息：2000
+                    else:
-                红包消息：2001
+                        # appmsg
-                视频号消息：51
+                        quote_data_message_list.extend(await self._handler_compound(None, quote_data))
-                '''
-                appmsg_data = content_data.find('.//appmsg')
-                data_type = appmsg_data.find('.//type').text
-                if data_type == '57':
-                    user_data = appmsg_data.find('.//title').text  # 拿到用户消息
-                    quote_data = appmsg_data.find('.//refermsg').find('.//content').text  # 引用原文
-                    sender_id = appmsg_data.find('.//refermsg').find('.//chatusr').text  # 引用用户id
-                    from_name = message['Data']['FromUserName']['string']
-                    message_list =[]
-                    if message['Wxid'] == sender_id and from_name.endswith('@chatroom'):  # 因为引用机制暂时无法响应用户，所以当引用用户是机器人是构建一个at激活机器人
-                        message_list.append(platform_message.At(target=bot_account_id))
-                    message_list.append(platform_message.Quote(
-                            sender_id=sender_id,
-                            origin=platform_message.MessageChain(
-                                [platform_message.Plain(quote_data)]
-                            )))
-                    message_list.append(platform_message.Plain(user_data))
-                    return platform_message.MessageChain(message_list)
-                elif data_type == '51':
-                    return platform_message.MessageChain(
-                        [platform_message.Plain(text=f'[视频号消息]')]
-                    )
-                    # print(content_data)
-                elif data_type == '2000':
-                    return platform_message.MessageChain(
-                        [platform_message.Plain(text=f'[转账消息]')]
-                    )
-                elif data_type == '2001':
-                    return platform_message.MessageChain(
-                        [platform_message.Plain(text=f'[红包消息]')]
-                    )
-                elif data_type == '5':
-                    return platform_message.MessageChain(
-                        [platform_message.Plain(text=f'[公众号消息]')]
-                    )
-                elif data_type == '33' or data_type == '36':
-                    return platform_message.MessageChain(
-                        [platform_message.Plain(text=f'[小程序消息]')]
-                    )
-                # print(data_type.text)
-                else:
-
-
-                    try:
-                        content_bytes = content.encode('utf-8')
-                        decoded_content = base64.b64decode(content_bytes)
-                        return platform_message.MessageChain(
-                            [platform_message.Unknown(content=decoded_content)]
-                        )
-                    except Exception as e:
-                        return platform_message.MessageChain(
-                            [platform_message.Plain(text=content)]
-                        )
             except Exception as e:
-                print(f"Error processing type 49 message: {str(e)}")
+                print(f"处理引用消息异常 expcetion:{e}")
-                return platform_message.MessageChain(
+                quote_data_message_list.append(platform_message.Plain(quote_data))
-                    [platform_message.Plain(text="[无法解析的消息]")]
+            message_list.append(
+                platform_message.Quote(
+                    sender_id=sender_id,
+                    origin=quote_data_message_list,
                 )
+            )
+            if len(user_data) > 0:
+                pattern = r'^@\S+'
+                user_data = re.sub(pattern, '', user_data)
+                message_list.append(platform_message.Plain(user_data))
+        # print(f"**_handler_compound_quote message_list len={len(message_list)}")
+        # for comp in message_list:
+        #     if isinstance(comp, platform_message.Quote):
+        #         print(f"**_handler_compound_quote send_id {comp.sender_id}" )
+        #         for quote_item in comp.origin:
+        #             print(f"******* _handler_compound_quote item {quote_item.type} + message: {quote_item}" )
+        #     else:
+        #         print(f"_handler_compound_quote type: {comp.type} + message: {comp}")
+        return platform_message.MessageChain(message_list)
+
+    async def _handler_compound_file(
+        self,
+        message: dict,
+        xml_data: ET.Element
+    ) -> platform_message.MessageChain:
+        """处理文件消息 (data_type=6)"""
+        xml_data_str = ET.tostring(xml_data, encoding='unicode')
+        return platform_message.MessageChain([
+            platform_message.WeChatForwardFile(xml_data=xml_data_str)
+        ])
+
+    async def _handler_compound_link(
+        self,
+        message: dict,
+        xml_data: ET.Element
+    ) -> platform_message.MessageChain:
+        """处理链接消息（如公众号文章、外部网页）"""
+        message_list = []
+        try:
+            # 解析 XML 中的链接参数
+            appmsg = xml_data.find('.//appmsg')
+            if appmsg is None:
+                return platform_message.MessageChain()
+            message_list.append(
+                platform_message.WeChatLink(
+                    link_title = appmsg.findtext('title', ''),
+                    link_desc = appmsg.findtext('des', ''),
+                    link_url = appmsg.findtext('url', ''),
+                    link_thumb_url = appmsg.findtext("thumburl", '') # 这个字段拿不到
+                )
+            )
+            # 转发消息
+            xml_data_str = ET.tostring(xml_data, encoding='unicode')
+            # print(xml_data_str)
+            message_list.append(
+                platform_message.WeChatForwardLink(
+                    xml_data=xml_data_str
+                )
+            )
+        except Exception as e:
+            print(f"解析链接消息失败: {str(e)}")
+        return platform_message.MessageChain(message_list)
+
+    async def _handler_compound_mini_program(
+        self,
+        message: dict,
+        xml_data: ET.Element
+    ) -> platform_message.MessageChain:
+        """处理小程序消息（如小程序卡片、服务通知）"""
+        xml_data_str = ET.tostring(xml_data, encoding='unicode')
+        return platform_message.MessageChain([
+            platform_message.WeChatForwardMiniPrograms(xml_data=xml_data_str)
+        ])
+
+    async def _handler_default(
+        self,
+        message: Optional[dict],
+        content_no_preifx: str
+    ) -> platform_message.MessageChain:
+        """处理未知消息类型"""
+        if message:
+            msg_type = message["Data"]["MsgType"]
+        else:
+            msg_type = ""
+        return platform_message.MessageChain([
+            platform_message.Unknown(text=f"[未知消息类型 msg_type:{msg_type}]")
+        ])
+
+    def _handler_compound_unsupported(
+        self,
+        message: dict,
+        xml_data: str,
+        text: Optional[str] = None
+    ) -> platform_message.MessageChain:
+        """处理未支持复合消息类型(msg_type=49)子类型"""
+        if not text:
+            text = f"[xml_data={xml_data}]"
+        content_list = []
+        content_list.append(
+            platform_message.Unknown(text=f"[处理未支持复合消息类型[msg_type=49]|{text}"))
+        
+        return platform_message.MessageChain(content_list)
+
+    # 返回是否被艾特
+    def _ats_bot(self, message: dict, bot_account_id:str) -> bool:
+        ats_bot = False
+        try:
+            to_user_name = message['Wxid']                               # 接收方: 所属微信的wxid
+            raw_content = message["Data"]["Content"]["string"]         # 原始消息内容
+            content_no_prefix, _ = self._extract_content_and_sender(raw_content)
+            # 直接艾特机器人
+            ats_bot =  ats_bot or (f"@{bot_account_id}" in content_no_prefix)
+            # 文本类@bot
+            push_content = message.get('Data', {}).get('PushContent', '')
+            ats_bot =  ats_bot or ('在群聊中@了你' in push_content)
+            # 引用别人时@bot
+            msg_source = message.get('Data', {}).get('MsgSource', '') or ''
+            if len(msg_source) > 0:
+                msg_source_data = ET.fromstring(msg_source)
+                at_user_list = msg_source_data.findtext("atuserlist") or ""
+                ats_bot = ats_bot or (to_user_name in at_user_list)
+            # 引用bot
+            if  message.get('Data', {}).get('MsgType', 0) == 49: 
+                xml_data = ET.fromstring(content_no_prefix)
+                appmsg_data = xml_data.find('.//appmsg')
+                tousername = message['Wxid']                                        # 接收方: 所属微信的wxid
+                quote_id = appmsg_data.find('.//refermsg').findtext('.//chatusr')   # 引用消息的原发送者
+                ats_bot =  ats_bot or (quote_id == tousername)      
+        except Exception as e:
+            print(f"_ats_bot got except: {e}")
+        finally:
+            return ats_bot
+        
+    # 提取一下content前面的sender_id, 和去掉前缀的内容
+    def _extract_content_and_sender(self, raw_content: str) -> Tuple[str, Optional[str]]:
+        try:
+            # 检查消息开头，如果有 wxid_sbitaz0mt65n22:\n 则删掉
+            # add: 有些用户的wxid不是上述格式。换成user_name: 
+            regex = re.compile(r"^[a-zA-Z0-9_\-]{5,20}:")
+            line_split = raw_content.split("\n")
+            if len(line_split) > 0 and regex.match(line_split[0]):
+                raw_content = "\n".join(line_split[1:])
+                sender_id = line_split[0].strip(":")
+                return raw_content, sender_id
+        except Exception as e:
+            print(f"_extract_content_and_sender got except: {e}")
+        finally:
+            return raw_content, None
+
+    # 是否是群消息
+    def _is_group_message(self, message: dict)->bool:
+        from_user_name = message['Data']['FromUserName']['string']
+        return from_user_name.endswith("@chatroom")
 
 class GewechatEventConverter(adapter.EventConverter):
 
@@ -311,7 +509,6 @@ class GeWeChatAdapter(adapter.MessagePlatformAdapter):
     def __init__(self, config: dict, ap: app.Application):
         self.config = config
         self.ap = ap
-
         self.quart_app = quart.Quart(__name__)
 
         self.message_converter = GewechatMessageConverter(config)
@@ -346,50 +543,118 @@ class GeWeChatAdapter(adapter.MessagePlatformAdapter):
 
                 return 'ok'
 
+    async def _handle_message(
+        self,
+        message: platform_message.MessageChain,
+        target_id: str
+    ):
+        """统一消息处理核心逻辑"""
+        content_list = await self.message_converter.yiri2target(message)
+        at_targets = [item["target"] for item in content_list if item["type"] == "at"]
+
+        # 处理@逻辑
+        at_targets = at_targets or []
+        member_info = []
+        if at_targets:
+            member_info = self.bot.get_chatroom_member_detail(
+                self.config["app_id"],
+                target_id,
+                at_targets[::-1]
+            )["data"]
+
+        # 处理消息组件
+        for msg in content_list:
+            # 文本消息处理@
+            if msg['type'] == 'text' and at_targets:
+                for member in member_info:
+                    msg['content'] = f'@{member["nickName"]} {msg["content"]}'
+
+            # 统一消息派发
+            handler_map = {
+                'text': lambda msg: self.bot.post_text(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    content=msg['content'],
+                    ats=",".join(at_targets)
+                ),
+                'image': lambda msg: self.bot.post_image(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    img_url=msg["image"]
+                ),
+                'WeChatForwardMiniPrograms': lambda msg: self.bot.forward_mini_app(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    xml=msg['xml_data'],
+                    cover_img_url=msg.get('image_url')
+                ),
+                'WeChatEmoji': lambda msg: self.bot.post_emoji(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    emoji_md5=msg['emoji_md5'],
+                    emoji_size=msg['emoji_size']
+                ),
+                'WeChatLink': lambda msg: self.bot.post_link(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    title=msg['link_title'],
+                    desc=msg['link_desc'],
+                    link_url=msg['link_url'],
+                    thumb_url=msg['link_thumb_url'],
+                ),
+                'WeChatMiniPrograms': lambda msg: self.bot.post_mini_app(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    mini_app_id=msg['mini_app_id'],
+                    display_name=msg['display_name'],
+                    page_path=msg['page_path'],
+                    cover_img_url=msg['cover_img_url'],
+                    title=msg['title'],
+                    user_name=msg['user_name']
+                ),
+                'WeChatForwardLink': lambda msg: self.bot.forward_url(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    xml=msg['xml_data']
+                ),
+                'WeChatForwardImage': lambda msg: self.bot.forward_image(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    xml=msg['xml_data']
+                ),
+                'WeChatForwardFile': lambda msg: self.bot.forward_file(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    xml=msg['xml_data']
+                ),
+                'voice': lambda msg: self.bot.post_voice(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    voice_url=msg['url'],
+                    voice_duration=msg['length']
+                ),
+                'WeChatAppMsg': lambda msg: self.bot.post_app_msg(
+                    app_id=self.config['app_id'],
+                    to_wxid=target_id,
+                    appmsg=msg['app_msg']
+                ),
+                'at': lambda msg: None
+            }
+
+            if handler := handler_map.get(msg['type']):
+                handler(msg)
+            else:
+                self.ap.logger.warning(f"未处理的消息类型: {msg['type']}")
+                continue
+
     async def send_message(
         self,
         target_type: str,
         target_id: str,
         message: platform_message.MessageChain
     ):
-        geweap_msg = await self.message_converter.yiri2target(message)
+        """主动发送消息"""
-        # 此处加上群消息at处理
+        return await self._handle_message(message, target_id)
-        ats = [item["target"] for item in geweap_msg if item["type"] == "at"]
-
-
-        for msg in geweap_msg:
-            # at主动发送消息
-            if msg['type'] == 'text':
-                if ats:
-                    member_info = self.bot.get_chatroom_member_detail(
-                        self.config["app_id"],
-                        target_id,
-                        ats[::-1]
-                    )["data"]
-
-                    for member in member_info:
-                        msg['content'] = f'@{member["nickName"]} {msg["content"]}'
-                self.bot.post_text(app_id=self.config['app_id'], to_wxid=target_id, content=msg['content'],
-                                   ats=",".join(ats))
-
-            elif msg['type'] == 'image':
-
-                self.bot.post_image(app_id=self.config['app_id'], to_wxid=target_id, img_url=msg["image"])
-            elif msg['type'] == 'WeChatMiniPrograms':
-                self.bot.post_mini_app(app_id=self.config['app_id'], to_wxid=target_id, mini_app_id=msg['mini_app_id']
-                                       , display_name=msg['display_name'], page_path=msg['page_path']
-                                       , cover_img_url=msg['cover_img_url'], title=msg['title'], user_name=msg['user_name'])
-            elif msg['type'] == 'WeChatForwardMiniPrograms':
-                self.bot.forward_mini_app(app_id=self.config['app_id'], to_wxid=target_id, xml=msg['xml_data'], cover_img_url=msg['image_url'])
-            elif msg['type'] == 'WeChatEmoji':
-                self.bot.post_emoji(app_id=self.config['app_id'], to_wxid=target_id,
-                                    emoji_md5=msg['emoji_md5'], emoji_size=msg['emoji_size'])
-            elif msg['type'] == 'WeChatLink':
-                self.bot.post_link(app_id=self.config['app_id'], to_wxid=target_id
-                                   ,title=msg['link_title'], desc=msg['link_desc']
-                                   , link_url=msg['link_url'], thumb_url=msg['link_thumb_url'])
-
-
 
     async def reply_message(
         self,
@@ -397,46 +662,10 @@ class GeWeChatAdapter(adapter.MessagePlatformAdapter):
         message: platform_message.MessageChain,
         quote_origin: bool = False
     ):
-        content_list = await self.message_converter.yiri2target(message)
+        """回复消息"""
-
+        if message_source.source_platform_object:
-        ats = [item["target"] for item in content_list if item["type"] == "at"]
+            target_id = message_source.source_platform_object["Data"]["FromUserName"]["string"]
-        target_id = message_source.source_platform_object["Data"]["FromUserName"]["string"]
+            return await self._handle_message(message, target_id)
-
-        for msg in content_list:
-            if msg["type"] == "text":
-
-                if ats:
-                    member_info = self.bot.get_chatroom_member_detail(
-                        self.config["app_id"],
-                        message_source.source_platform_object["Data"]["FromUserName"]["string"],
-                        ats[::-1]
-                    )["data"]
-
-                    for member in member_info:
-                        msg['content'] = f'@{member["nickName"]} {msg["content"]}'
-
-                self.bot.post_text(
-                    app_id=self.config["app_id"],
-                    to_wxid=message_source.source_platform_object["Data"]["FromUserName"]["string"],
-                    content=msg["content"],
-                    ats=",".join(ats)
-                )
-            elif msg['type'] == 'image':
-
-                self.bot.post_image(app_id=self.config['app_id'], to_wxid=target_id, img_url=msg["image"])
-            elif msg['type'] == 'WeChatMiniPrograms':
-                self.bot.post_mini_app(app_id=self.config['app_id'], to_wxid=target_id, mini_app_id=msg['mini_app_id']
-                                       , display_name=msg['display_name'], page_path=msg['page_path']
-                                       , cover_img_url=msg['cover_img_url'], title=msg['title'], user_name=msg['user_name'])
-            elif msg['type'] == 'WeChatForwardMiniPrograms':
-                self.bot.forward_mini_app(app_id=self.config['app_id'], to_wxid=target_id, xml=msg['xml_data'], cover_img_url=msg['image_url'])
-            elif msg['type'] == 'WeChatEmoji':
-                self.bot.post_emoji(app_id=self.config['app_id'], to_wxid=target_id,
-                                    emoji_md5=msg['emoji_md5'], emoji_size=msg['emoji_size'])
-            elif msg['type'] == 'WeChatLink':
-                self.bot.post_link(app_id=self.config['app_id'], to_wxid=target_id
-                                   , title=msg['link_title'], desc=msg['link_desc']
-                                   , link_url=msg['link_url'], thumb_url=msg['link_thumb_url'])
 
     async def is_muted(self, group_id: int) -> bool:
         pass
@@ -490,8 +719,13 @@ class GeWeChatAdapter(adapter.MessagePlatformAdapter):
 
             time.sleep(2)
 
-            ret = self.bot.set_callback(self.config["token"], self.config["callback_url"])
+            try:
-            print('设置 Gewechat 回调：', ret)
+                # gewechat-server容器重启, token会变，但是还会登录成功
+                # 换新token也会收不到回调，要重新登陆下。
+                ret = self.bot.set_callback(self.config["token"], self.config["callback_url"])
+            except Exception as e:       
+                raise Exception(f"设置 Gewechat 回调失败， token失效： {e}")
+                
 
         threading.Thread(target=gewechat_login_process).start()
 

pkg/platform/sources/lark.py

@@ -1,7 +1,8 @@
 from __future__ import annotations
 
 import lark_oapi
-
+from lark_oapi.api.im.v1 import CreateImageRequest, CreateImageRequestBody, CreateImageResponse
+import traceback
 import typing
 import asyncio
 import traceback
@@ -60,12 +61,22 @@ class LarkMessageConverter(adapter.MessageConverter):
         message_chain: platform_message.MessageChain, api_client: lark_oapi.Client
     ) -> typing.Tuple[list]:
         message_elements = []
-
         pending_paragraph = []
-
         for msg in message_chain:
             if isinstance(msg, platform_message.Plain):
-                pending_paragraph.append({"tag": "md", "text": msg.text})
+                # Ensure text is valid UTF-8
+                try:
+                    text = msg.text.encode('utf-8').decode('utf-8')
+                    pending_paragraph.append({"tag": "md", "text": text})
+                except UnicodeError:
+                    # If text is not valid UTF-8, try to decode with other encodings
+                    try:
+                        text = msg.text.encode('latin1').decode('utf-8')
+                        pending_paragraph.append({"tag": "md", "text": text})
+                    except UnicodeError:
+                        # If still fails, replace invalid characters
+                        text = msg.text.encode('utf-8', errors='replace').decode('utf-8')
+                        pending_paragraph.append({"tag": "md", "text": text})
             elif isinstance(msg, platform_message.At):
                 pending_paragraph.append(
                     {"tag": "at", "user_id": msg.target, "style": []}
@@ -73,51 +84,84 @@ class LarkMessageConverter(adapter.MessageConverter):
             elif isinstance(msg, platform_message.AtAll):
                 pending_paragraph.append({"tag": "at", "user_id": "all", "style": []})
             elif isinstance(msg, platform_message.Image):
-
                 image_bytes = None
 
                 if msg.base64:
-                    image_bytes = base64.b64decode(msg.base64)
+                    try:
+                        # Remove data URL prefix if present
+                        if msg.base64.startswith('data:'):
+                            msg.base64 = msg.base64.split(',', 1)[1]
+                        image_bytes = base64.b64decode(msg.base64)
+                    except Exception as e:
+                        traceback.print_exc()
+                        continue
                 elif msg.url:
-                    async with aiohttp.ClientSession() as session:
+                    try:
-                        async with session.get(msg.url) as response:
+                        async with aiohttp.ClientSession() as session:
-                            image_bytes = await response.read()
+                            async with session.get(msg.url) as response:
+                                if response.status == 200:
+                                    image_bytes = await response.read()
+                                else:
+                                    traceback.print_exc()
+                                    continue
+                    except Exception as e:
+                        traceback.print_exc()
+                        continue
                 elif msg.path:
-                    with open(msg.path, "rb") as f:
+                    try:
-                        image_bytes = f.read()
+                        with open(msg.path, "rb") as f:
+                            image_bytes = f.read()
+                    except Exception as e:
+                        traceback.print_exc()
+                        continue
 
-                request: CreateImageRequest = (
+                if image_bytes is None:
-                    CreateImageRequest.builder()
+                    continue
-                    .request_body(
-                        CreateImageRequestBody.builder()
-                        .image_type("message")
-                        .image(image_bytes)
-                        .build()
-                    )
-                    .build()
-                )
 
-                response: CreateImageResponse = await api_client.im.v1.image.acreate(
+                try:
-                    request
+                    # Create a temporary file to store the image bytes
-                )
+                    import tempfile
+                    with tempfile.NamedTemporaryFile(delete=False) as temp_file:
+                        temp_file.write(image_bytes)
+                        temp_file.flush()
                         
-                if not response.success():
+                        # Create image request using the temporary file
-                    raise Exception(
+                        request = CreateImageRequest.builder()\
-                        f"client.im.v1.image.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}"
+                            .request_body(
-                    )
+                                CreateImageRequestBody.builder()
+                                .image_type("message")
+                                .image(open(temp_file.name, "rb"))
+                                .build()
+                            )\
+                            .build()
                         
-                image_key = response.data.image_key
+                        response = await api_client.im.v1.image.acreate(request)
                         
-                message_elements.append(pending_paragraph)
+                        if not response.success():
-                message_elements.append(
+                            raise Exception(
-                    [
+                                f"client.im.v1.image.create failed, code: {response.code}, msg: {response.msg}, log_id: {response.get_log_id()}, resp: \n{json.dumps(json.loads(response.raw.content), indent=4, ensure_ascii=False)}"
-                        {
+                            )
-                            "tag": "img",
+                        
-                            "image_key": image_key,
+                        image_key = response.data.image_key
-                        }
+
-                    ]
+                        message_elements.append(pending_paragraph)
-                )
+                        message_elements.append(
-                pending_paragraph = []
+                            [
+                                {
+                                    "tag": "img",
+                                    "image_key": image_key,
+                                }
+                            ]
+                        )
+                        pending_paragraph = []
+                except Exception as e:
+                    traceback.print_exc()
+                    continue
+                finally:
+                    # Clean up the temporary file
+                    import os
+                    if 'temp_file' in locals():
+                        os.unlink(temp_file.name)
             elif isinstance(msg, platform_message.Forward):
                 for node in msg.node_list:
                     message_elements.extend(await LarkMessageConverter.yiri2target(node.message_chain, api_client))

pkg/platform/types/message.py

@@ -1,16 +1,15 @@
 import itertools
 import logging
+import typing
 from datetime import datetime
 from enum import Enum
 from pathlib import Path
-import typing
 
 import pydantic.v1 as pydantic
 
 from . import entities as platform_entities
 from .base import PlatformBaseModel, PlatformIndexedMetaclass, PlatformIndexedModel
 
-
 logger = logging.getLogger(__name__)
 
 
@@ -642,7 +641,8 @@ class Unknown(MessageComponent):
     """消息组件类型。"""
     text: str
     """文本。"""
-
+    def __str__(self):
+        return f'Unknown Message: {self.text}'
 
 class Voice(MessageComponent):
     """语音。"""
@@ -837,6 +837,8 @@ class WeChatForwardMiniPrograms(MessageComponent):
     xml_data: str
     """首页图片"""
     image_url: typing.Optional[str] = None
+    def __str__(self):
+        return self.xml_data
 
 
 class WeChatEmoji(MessageComponent):
@@ -860,3 +862,35 @@ class WeChatLink(MessageComponent):
     """链接略缩图"""
     link_thumb_url: str = ''
 
+
+class WeChatForwardLink(MessageComponent):
+    """转发链接。个人微信专用组件。"""
+    type: str = 'WeChatForwardLink'
+    """xml数据"""
+    xml_data: str
+    def __str__(self):
+        return self.xml_data
+
+class WeChatForwardImage(MessageComponent):
+    """转发图片。个人微信专用组件。"""
+    type: str = 'WeChatForwardImage'
+    """xml数据"""
+    xml_data: str
+    def __str__(self):
+        return self.xml_data
+
+class WeChatForwardFile(MessageComponent):
+    """转发文件。个人微信专用组件。"""
+    type: str = 'WeChatForwardFile'
+    """xml数据"""
+    xml_data: str
+    def __str__(self):
+        return self.xml_data
+
+class WeChatAppMsg(MessageComponent):
+    """通用appmsg发送。个人微信专用组件。"""
+    type: str = 'WeChatAppMsg'
+    """xml数据"""
+    app_msg: str
+    def __str__(self):
+        return self.app_msg

pkg/provider/modelmgr/requesters/chatcmpl.py

@@ -65,7 +65,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
         
         # deepseek的reasoner模型
         if reasoning_content is not None:
-            chatcmpl_message['content'] = "<think>\n" + reasoning_content + "\n</think>\n\n"+ chatcmpl_message['content']
+            chatcmpl_message['content'] = "<think>\n" + reasoning_content + "\n</think>\n"+ chatcmpl_message['content']
 
         message = llm_entities.Message(**chatcmpl_message)
 

pkg/provider/modelmgr/requesters/ppiochatcmpl.py

@@ -0,0 +1,20 @@
+
+from __future__ import annotations
+
+import openai
+
+from . import chatcmpl, modelscopechatcmpl
+from .. import requester
+from ....core import app
+
+class PPIOChatCompletions(chatcmpl.OpenAIChatCompletions):
+    """欧派云 ChatCompletion API 请求器"""
+
+    client: openai.AsyncClient
+
+    requester_cfg: dict
+
+    def __init__(self, ap: app.Application):
+        self.ap = ap
+
+        self.requester_cfg = self.ap.provider_cfg.data['requester']['ppio-chat-completions']

pkg/provider/modelmgr/requesters/ppiochatcmpl.yaml

@@ -0,0 +1,34 @@
+apiVersion: v1
+kind: LLMAPIRequester
+metadata:
+  name: ppio-chat-completions
+  label:
+    en_US: ppio 
+    zh_CN: 派欧云
+spec:
+  config:
+    - name: base-url
+      label:
+        en_US: Base URL
+        zh_CN: 基础 URL
+      type: string
+      required: true
+      default: "https://api.ppinfra.com/v3/openai"
+    - name: args
+      label:
+        en_US: Args
+        zh_CN: 附加参数
+      type: object
+      required: true
+      default: {}
+    - name: timeout
+      label:
+        en_US: Timeout
+        zh_CN: 超时时间
+      type: int
+      required: true
+      default: 120
+execution:
+  python:
+    path: ./ppiochatcmpl.py
+    attr: PPIOChatCompletions

pkg/provider/runners/difysvapi.py

@@ -164,12 +164,14 @@ class DifyServiceAPIRunner(runner.RequestRunner):
             for image_id in image_ids
         ]
 
-        ignored_events = ["agent_message"]
+        ignored_events = []
 
         inputs = {}
         
         inputs.update(query.variables)
 
+        pending_agent_message = ''
+
         async for chunk in self.dify_client.chat_messages(
             inputs=inputs,
             query=plain_text,
@@ -183,50 +185,55 @@ class DifyServiceAPIRunner(runner.RequestRunner):
 
             if chunk["event"] in ignored_events:
                 continue
-            if chunk["event"] == "agent_thought":
-
-                if chunk['tool'] != '' and chunk['observation'] != '':  # 工具调用结果，跳过
-                    continue
-
-                if chunk['thought'].strip() != '':  # 文字回复内容
-                    msg = llm_entities.Message(
-                        role="assistant",
-                        content=chunk["thought"],
-                    )
-                    yield msg
-
-                if chunk['tool']:
-                    msg = llm_entities.Message(
-                        role="assistant",
-                        tool_calls=[
-                            llm_entities.ToolCall(
-                                id=chunk['id'],
-                                type="function",
-                                function=llm_entities.FunctionCall(
-                                    name=chunk["tool"],
-                                    arguments=json.dumps({}),
-                                ),
-                            )
-                        ],
-                    )
-                    yield msg
-            if chunk['event'] == 'message_file':
-
-                if chunk['type'] == 'image' and chunk['belongs_to'] == 'assistant':
-
-                    base_url = self.dify_client.base_url
-
-                    if base_url.endswith('/v1'):
-                        base_url = base_url[:-3]
-
-                    image_url = base_url + chunk['url']
 
+            if chunk['event'] == 'agent_message':
+                pending_agent_message += chunk['answer']
+            else:
+                if pending_agent_message.strip() != '':
+                    pending_agent_message = pending_agent_message.replace('</details>Action:', '</details>')
                     yield llm_entities.Message(
                         role="assistant",
-                        content=[llm_entities.ContentElement.from_image_url(image_url)],
+                        content=self._try_convert_thinking(pending_agent_message),
                     )
-            if chunk['event'] == 'error':
+                pending_agent_message = ''
-                raise errors.DifyAPIError("dify 服务错误: " + chunk['message'])
+
+                if chunk["event"] == "agent_thought":
+
+                    if chunk['tool'] != '' and chunk['observation'] != '':  # 工具调用结果，跳过
+                        continue
+
+                    if chunk['tool']:
+                        msg = llm_entities.Message(
+                            role="assistant",
+                            tool_calls=[
+                                llm_entities.ToolCall(
+                                    id=chunk['id'],
+                                    type="function",
+                                    function=llm_entities.FunctionCall(
+                                        name=chunk["tool"],
+                                        arguments=json.dumps({}),
+                                    ),
+                                )
+                            ],
+                        )
+                        yield msg
+                if chunk['event'] == 'message_file':
+
+                    if chunk['type'] == 'image' and chunk['belongs_to'] == 'assistant':
+
+                        base_url = self.dify_client.base_url
+
+                        if base_url.endswith('/v1'):
+                            base_url = base_url[:-3]
+
+                        image_url = base_url + chunk['url']
+
+                        yield llm_entities.Message(
+                            role="assistant",
+                            content=[llm_entities.ContentElement.from_image_url(image_url)],
+                        )
+                if chunk['event'] == 'error':
+                    raise errors.DifyAPIError("dify 服务错误: " + chunk['message'])
 
         query.session.using_conversation.uuid = chunk["conversation_id"]
 
@@ -303,11 +310,11 @@ class DifyServiceAPIRunner(runner.RequestRunner):
 
                 msg = llm_entities.Message(
                     role="assistant",
-                    content=chunk["data"]["outputs"][
+                    content=self._try_convert_thinking(chunk["data"]["outputs"][
                         self.ap.provider_cfg.data["dify-service-api"]["workflow"][
                             "output-key"
                         ]
-                    ],
+                    ]),
                 )
 
                 yield msg

pkg/utils/constants.py

@@ -1,4 +1,4 @@
-semantic_version = "v3.4.14"
+semantic_version = "v3.4.14.3"
 
 debug_mode = False
 

templates/provider.json

@@ -34,6 +34,9 @@
         ],
         "modelscope": [
             "xxxxxxxx"
+        ],
+        "ppio": [
+            "xxxxxxxx"
         ]
     },
     "requester": {
@@ -103,6 +106,11 @@
             "base-url": "https://api-inference.modelscope.cn/v1",
             "args": {},
             "timeout": 120
+        },
+        "ppio-chat-completions": {
+            "base-url": "https://api.ppinfra.com/v3/openai",
+            "args": {},
+            "timeout": 120
         }
     },
     "model": "gpt-4o",