chore: release v3.4.7.1

阿里云百炼平台通用模型和自定义模型应用API支持

README.md

@@ -6,7 +6,7 @@
 
 <div align="center">
 
-<a href="https://trendshift.io/repositories/6187" target="_blank"><img src="https://trendshift.io/api/badge/repositories/6187" alt="RockChinQ%2FQChatGPT | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+<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://docs.langbot.app/insight/intro.htmll">功能介绍</a> ｜
@@ -22,12 +22,13 @@
 <br/>
 
 
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
 [![QQ Group](https://img.shields.io/badge/%E7%A4%BE%E5%8C%BAQQ%E7%BE%A4-1030838208-blue)](https://qm.qq.com/q/PF9OuQCCcM)
 [![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/LangBot)](https://github.com/RockChinQ/LangBot/releases/latest)
  ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.qchatgpt.rockchin.top%2Fapi%2Fv2%2Fview%2Frealtime%2Fcount_query%3Fminute%3D10080&query=%24.data.count&label=%E4%BD%BF%E7%94%A8%E9%87%8F%EF%BC%887%E6%97%A5%EF%BC%89)
 <img src="https://img.shields.io/badge/python-3.10 | 3.11 | 3.12-blue.svg" alt="python">
 
-[简体中文](README.md) / [English](README_EN.md)
+[简体中文](README.md) / [English](README_EN.md) / [日本語](README_JP.md)
 
 </div>
 
@@ -85,6 +86,7 @@
 | QQ 个人号 | ✅ | QQ 个人号私聊、群聊 |
 | QQ 官方机器人 | ✅ | QQ 官方机器人，支持频道、私聊、群聊 |
 | 企业微信 | ✅ |  |
+| 微信公众号 | ✅ |  |
 | 飞书 | ✅ |  |
 | Discord | ✅ |  |
 | 个人微信 | ✅ | 使用 [Gewechat](https://github.com/Devo919/Gewechat) 接入 |
@@ -109,7 +111,7 @@
 | [LMStudio](https://lmstudio.ai/) | ✅ | 本地大模型运行平台 |
 | [GiteeAI](https://ai.gitee.com/) | ✅ | 大模型接口聚合平台 |
 | [SiliconFlow](https://siliconflow.cn/) | ✅ | 大模型聚合平台 |
-| [阿里云百炼](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台 |
+| [阿里云百炼](https://bailian.console.aliyun.com/) | ✅ | 大模型聚合平台, LLMOps 平台 |
 
 ## 😘 社区贡献
 

README_EN.md

@@ -5,7 +5,7 @@
 
 <div align="center">
 
-<a href="https://trendshift.io/repositories/6187" target="_blank"><img src="https://trendshift.io/api/badge/repositories/6187" alt="RockChinQ%2FQChatGPT | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
+<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://docs.langbot.app/insight/intro.htmll">Features</a> ｜
@@ -21,12 +21,12 @@
 <br/>
 
 
-
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
 [![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/LangBot)](https://github.com/RockChinQ/LangBot/releases/latest)
  ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.qchatgpt.rockchin.top%2Fapi%2Fv2%2Fview%2Frealtime%2Fcount_query%3Fminute%3D10080&query=%24.data.count&label=Usage(7days))
 <img src="https://img.shields.io/badge/python-3.10 | 3.11 | 3.12-blue.svg" alt="python">
 
-[简体中文](README.md) / [English](README_EN.md)
+[简体中文](README.md) / [English](README_EN.md) / [日本語](README_JP.md)
 
 </div>
 
@@ -85,6 +85,7 @@ Directly use the released version to run, see the [Manual Deployment](https://do
 | Personal QQ | ✅ |  |
 | QQ Official API | ✅ |  |
 | WeCom | ✅ |  |
+| WeChat Official Account | ✅ |  |
 | Lark | ✅ |  |
 | Discord | ✅ |  |
 | Personal WeChat | ✅ | Use [Gewechat](https://github.com/Devo919/Gewechat) to access |
@@ -109,7 +110,7 @@ Directly use the released version to run, see the [Manual Deployment](https://do
 | [LMStudio](https://lmstudio.ai/) | ✅ | Local LLM running platform |
 | [GiteeAI](https://ai.gitee.com/) | ✅ | LLM interface gateway(MaaS) |
 | [SiliconFlow](https://siliconflow.cn/) | ✅ | LLM gateway(MaaS) |
-| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLM gateway(MaaS), LLMOps platform |
 
 ## 🤝 Community Contribution
 

README_JP.md

@@ -0,0 +1,122 @@
+<p align="center">
+<a href="https://langbot.app">
+<img src="https://docs.langbot.app/social.png" alt="LangBot"/>
+</a>
+
+<div align="center">
+
+<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://docs.langbot.app/insight/intro.htmll">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> ｜
+<a href="https://docs.langbot.app/plugin/plugin-intro.html">プラグイン</a> ｜
+<a href="https://github.com/RockChinQ/LangBot/issues/new?assignees=&labels=%E7%8B%AC%E7%AB%8B%E6%8F%92%E4%BB%B6&projects=&template=submit-plugin.yml&title=%5BPlugin%5D%3A+%E8%AF%B7%E6%B1%82%E7%99%BB%E8%AE%B0%E6%96%B0%E6%8F%92%E4%BB%B6">プラグインの提出</a>
+
+<div align="center">
+😎高い安定性、🧩拡張サポート、🦄マルチモーダル - LLMネイティブインスタントメッセージングボットプラットフォーム🤖  
+</div>
+
+<br/>
+
+[![Discord](https://img.shields.io/discord/1335141740050649118?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb)](https://discord.gg/wdNEHETs87)
+[![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/LangBot)](https://github.com/RockChinQ/LangBot/releases/latest)
+ ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.qchatgpt.rockchin.top%2Fapi%2Fv2%2Fview%2Frealtime%2Fcount_query%3Fminute%3D10080&query=%24.data.count&label=Usage(7days))
+<img src="https://img.shields.io/badge/python-3.10 | 3.11 | 3.12-blue.svg" alt="python">
+
+[简体中文](README.md) / [English](README_EN.md) / [日本語](README_JP.md)
+
+</div>
+
+</p>
+
+## ✨ 機能
+
+- 💬 LLM / エージェントとのチャット: 複数のLLMをサポートし、グループチャットとプライベートチャットに対応。マルチラウンドの会話、ツールの呼び出し、マルチモーダル機能をサポート。 [Dify](https://dify.ai) と深く統合。現在、QQ、QQチャンネル、WeCom、Lark、Discord、個人WeChatをサポートし、将来的にはWhatsApp、Telegramなどもサポート予定。
+- 🛠️ 高い安定性、豊富な機能: ネイティブのアクセス制御、レート制限、敏感な単語のフィルタリングなどのメカニズムをサポート。使いやすく、複数のデプロイ方法をサポート。
+- 🧩 プラグイン拡張、活発なコミュニティ: イベント駆動、コンポーネント拡張などのプラグインメカニズムをサポート。豊富なエコシステム、現在数十の[プラグイン](https://docs.langbot.app/plugin/plugin-intro.html)が存在。
+- 😻 [新機能] Web UI: ブラウザを通じてLangBotインスタンスを管理することをサポート。詳細は[ドキュメント](https://docs.langbot.app/webui/intro.html)を参照。
+
+## 📦 始め方
+
+> [!IMPORTANT]
+>
+> - 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。
+
+#### Docker Compose デプロイ
+
+Dockerに慣れているユーザーに適しています。[Dockerデプロイ](https://docs.langbot.app/deploy/langbot/docker.html)のドキュメントを参照してください。
+
+#### BTPanelでのワンクリックデプロイ
+
+LangBotはBTPanelにリストされています。BTPanelをインストールしている場合は、[ドキュメント](https://docs.langbot.app/deploy/langbot/one-click/bt.html)を使用して使用できます。
+
+#### Zeaburクラウドデプロイ
+
+コミュニティが提供するZeaburテンプレート。
+
+[![Deploy on Zeabur](https://zeabur.com/button.svg)](https://zeabur.com/zh-CN/templates/ZKTBDH)
+
+#### Railwayクラウドデプロイ
+
+[![Deploy on Railway](https://railway.com/button.svg)](https://railway.app/template/yRrAyL?referralCode=vogKPF)
+
+#### その他のデプロイ方法
+
+リリースバージョンを直接使用して実行します。[手動デプロイ](https://docs.langbot.app/deploy/langbot/manual.html)のドキュメントを参照してください。
+
+## 📸 デモ
+
+<img alt="返信効果（インターネットプラグイン付き）" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
+
+- WebUIデモ: https://demo.langbot.dev/
+    - ログイン情報: メール: `demo@langbot.app` パスワード: `langbot123456`
+    - 注意: WebUIの効果のみを示しています。公開環境では、機密情報を入力しないでください。
+
+## 🔌 コンポーネントの互換性
+
+### メッセージプラットフォーム
+
+| プラットフォーム | ステータス | 備考 |
+| --- | --- | --- |
+| 個人QQ | ✅ |  |
+| QQ公式API | ✅ |  |
+| WeCom | ✅ |  |
+| Lark | ✅ |  |
+| Discord | ✅ |  |
+| 個人WeChat | ✅ | [Gewechat](https://github.com/Devo919/Gewechat)を使用して接続 |
+| Telegram | 🚧 |  |
+| WhatsApp | 🚧 |  |
+| DingTalk | 🚧 |  |
+
+🚧: 開発中
+
+### LLMs
+
+| LLM | ステータス | 備考 |
+| --- | --- | --- |
+| [OpenAI](https://platform.openai.com/) | ✅ | 任意のOpenAIインターフェース形式モデルに対応 |
+| [DeepSeek](https://www.deepseek.com/) | ✅ |  |
+| [Moonshot](https://www.moonshot.cn/) | ✅ |  |
+| [Anthropic](https://www.anthropic.com/) | ✅ |  |
+| [xAI](https://x.ai/) | ✅ |  |
+| [Zhipu AI](https://open.bigmodel.cn/) | ✅ |  |
+| [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 |
+| [GiteeAI](https://ai.gitee.com/) | ✅ | LLMインターフェースゲートウェイ(MaaS) |
+| [SiliconFlow](https://siliconflow.cn/) | ✅ | LLMゲートウェイ(MaaS) |
+| [Aliyun Bailian](https://bailian.console.aliyun.com/) | ✅ | LLMゲートウェイ(MaaS), LLMOpsプラットフォーム |
+
+## 🤝 コミュニティ貢献
+
+以下の貢献者とコミュニティの皆さんの貢献に感謝します。
+
+
+<a href="https://github.com/RockChinQ/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=RockChinQ/LangBot" />
+</a>
+
+

libs/official_account_api/api.py

@@ -0,0 +1,176 @@
+# 微信公众号的加解密算法与企业微信一样，所以直接使用企业微信的加解密算法文件
+import time
+import traceback
+from ..wecom_api.WXBizMsgCrypt3 import WXBizMsgCrypt
+import xml.etree.ElementTree as ET
+from quart import Quart,request
+import hashlib
+from typing import Callable, Dict, Any
+from .oaevent import OAEvent
+import httpx
+
+import asyncio
+import time
+import xml.etree.ElementTree as ET
+
+
+
+xml_template = """
+<xml>
+    <ToUserName><![CDATA[{to_user}]]></ToUserName>
+    <FromUserName><![CDATA[{from_user}]]></FromUserName>
+    <CreateTime>{create_time}</CreateTime>
+    <MsgType><![CDATA[text]]></MsgType>
+    <Content><![CDATA[{content}]]></Content>
+</xml>
+"""
+
+class OAClient():
+
+    def __init__(self,token:str,EncodingAESKey:str,AppID:str,Appsecret:str):
+        self.token = token
+        self.aes = EncodingAESKey
+        self.appid = AppID
+        self.appsecret = Appsecret
+        self.base_url = 'https://api.weixin.qq.com'
+        self.access_token = ''
+        self.app = Quart(__name__)
+        self.app.add_url_rule('/callback/command', 'handle_callback', self.handle_callback_request, methods=['GET', 'POST'])
+        self._message_handlers = {
+            "example":[],
+        }
+        self.access_token_expiry_time = None
+        self.msg_id_map = {}
+
+    async def handle_callback_request(self):
+
+        try:
+            # 每隔100毫秒查询是否生成ai回答
+            start_time = time.time()
+            signature = request.args.get("signature", "")
+            timestamp = request.args.get("timestamp", "")
+            nonce = request.args.get("nonce", "")
+            echostr = request.args.get("echostr", "")
+            msg_signature = request.args.get("msg_signature","")
+            if msg_signature is None:
+                raise Exception("msg_signature不在请求体中")
+
+            if request.method == 'GET':
+                # 校验签名
+                check_str = "".join(sorted([self.token, timestamp, nonce]))
+                check_signature = hashlib.sha1(check_str.encode("utf-8")).hexdigest()
+                
+                if check_signature == signature:
+                    return echostr  # 验证成功返回echostr
+                else:
+                    raise Exception("拒绝请求")
+            elif request.method == "POST":
+                encryt_msg = await request.data
+                wxcpt =  WXBizMsgCrypt(self.token,self.aes,self.appid)
+                ret,xml_msg = wxcpt.DecryptMsg(encryt_msg,msg_signature,timestamp,nonce)
+                xml_msg = xml_msg.decode('utf-8')
+
+                if ret != 0:
+                    raise Exception("消息解密失败")
+
+                message_data = await self.get_message(xml_msg)
+                if message_data :
+                    event = OAEvent.from_payload(message_data)
+                    if event:
+                        await self._handle_message(event)
+
+                root = ET.fromstring(xml_msg)
+                from_user = root.find("FromUserName").text  # 发送者
+                to_user = root.find("ToUserName").text  # 机器人
+                
+                from pkg.platform.sources import officialaccount
+                
+                timeout = 4.80
+                interval = 0.1
+                while True:
+                    content = officialaccount.generated_content.pop(message_data["MsgId"], None)
+                    if content:
+                        response_xml = xml_template.format(
+                            to_user=from_user,
+                            from_user=to_user,
+                            create_time=int(time.time()),
+                            content = content
+                        )
+
+                        return response_xml
+                    
+                    if time.time() - start_time >= timeout:
+                        break
+                    
+                    await asyncio.sleep(interval)
+
+                if self.msg_id_map.get(message_data["MsgId"], 1) == 3:
+
+                    # response_xml = xml_template.format(
+                    #     to_user=from_user,
+                    #     from_user=to_user,
+                    #     create_time=int(time.time()),
+                    #     content = "请求失效：暂不支持公众号超过15秒的请求，如有需求，请联系 LangBot 团队。"
+                    # )
+                    print("请求失效：暂不支持公众号超过15秒的请求，如有需求，请联系 LangBot 团队。")
+                    return ''
+
+        except Exception as e:
+            traceback.print_exc()
+
+    
+    async def get_message(self, xml_msg: str):
+
+        root = ET.fromstring(xml_msg)
+
+        message_data = {
+                "ToUserName": root.find("ToUserName").text,
+                "FromUserName": root.find("FromUserName").text,
+                "CreateTime": int(root.find("CreateTime").text),
+                "MsgType": root.find("MsgType").text,
+                "Content": root.find("Content").text if root.find("Content") is not None else None,
+                "MsgId": int(root.find("MsgId").text) if root.find("MsgId") is not None else None,
+        }
+
+        return message_data
+
+
+    async def run_task(self, host: str, port: int, *args, **kwargs):
+        """
+        启动 Quart 应用。
+        """
+        await self.app.run_task(host=host, port=port, *args, **kwargs)
+
+
+    def on_message(self, msg_type: str):
+        """
+        注册消息类型处理器。
+        """
+        def decorator(func: Callable[[OAEvent], None]):
+            if msg_type not in self._message_handlers:
+                self._message_handlers[msg_type] = []
+            self._message_handlers[msg_type].append(func)
+            return func
+        return decorator
+
+    async def _handle_message(self, event: OAEvent):
+        """
+        处理消息事件。
+        """
+        message_id = event.message_id
+        if message_id in self.msg_id_map.keys():
+            self.msg_id_map[message_id] += 1
+            return
+
+        self.msg_id_map[message_id] = 1
+        msg_type = event.type
+        if msg_type in self._message_handlers:
+            for handler in self._message_handlers[msg_type]:
+                await handler(event)
+
+
+            
+
+            
+
+

libs/official_account_api/oaevent.py

@@ -0,0 +1,167 @@
+from typing import Dict, Any, Optional
+
+
+class OAEvent(dict):
+    """
+    封装从微信公众号收到的事件数据对象（字典），提供属性以获取其中的字段。
+
+    除 `type` 和 `detail_type` 属性对于任何事件都有效外，其它属性是否存在（若不存在则返回 `None`）依事件类型不同而不同。
+    """
+
+    @staticmethod
+    def from_payload(payload: Dict[str, Any]) -> Optional["OAEvent"]:
+        """
+        从微信公众号事件数据构造 `WecomEvent` 对象。
+
+        Args:
+            payload (Dict[str, Any]): 解密后的微信事件数据。
+
+        Returns:
+            Optional[OAEvent]: 如果事件数据合法，则返回 OAEvent 对象；否则返回 None。
+        """
+        try:
+            event = OAEvent(payload)
+            _ = event.type, event.detail_type  # 确保必须字段存在
+            return event
+        except KeyError:
+            return None
+
+    @property
+    def type(self) -> str:
+        """
+        事件类型，例如 "message"、"event"、"text" 等。
+
+        Returns:
+            str: 事件类型。
+        """
+        return self.get("MsgType", "")
+    
+    @property
+    def picurl(self) -> str:
+        """
+        图片链接
+        """
+        return self.get("PicUrl","")
+
+    @property
+    def detail_type(self) -> str:
+        """
+        事件详细类型，依 `type` 的不同而不同。例如：
+        - 消息事件: "text", "image", "voice", 等
+        - 事件通知: "subscribe", "unsubscribe", "click", 等
+
+        Returns:
+            str: 事件详细类型。
+        """
+        if self.type == "event":
+            return self.get("Event", "")
+        return self.type
+
+    @property
+    def name(self) -> str:
+        """
+        事件名，对于消息事件是 `type.detail_type`，对于其他事件是 `event_type`。
+
+        Returns:
+            str: 事件名。
+        """
+        return f"{self.type}.{self.detail_type}"
+
+    @property
+    def user_id(self) -> Optional[str]:
+        """
+        发送方账号
+        """
+        return self.get("FromUserName")
+
+
+    @property
+    def receiver_id(self) -> Optional[str]:
+        """
+        接收者 ID，例如机器人自身的公众号微信 ID。
+
+        Returns:
+            Optional[str]: 接收者 ID。
+        """
+        return self.get("ToUserName")
+
+    @property
+    def message_id(self) -> Optional[str]:
+        """
+        消息 ID，仅在消息类型事件中存在。
+
+        Returns:
+            Optional[str]: 消息 ID。
+        """
+        return self.get("MsgId")
+
+    @property
+    def message(self) -> Optional[str]:
+        """
+        消息内容，仅在消息类型事件中存在。
+
+        Returns:
+            Optional[str]: 消息内容。
+        """
+        return self.get("Content")
+
+    @property
+    def media_id(self) -> Optional[str]:
+        """
+        媒体文件 ID，仅在图片、语音等消息类型中存在。
+
+        Returns:
+            Optional[str]: 媒体文件 ID。
+        """
+        return self.get("MediaId")
+
+    @property
+    def timestamp(self) -> Optional[int]:
+        """
+        事件发生的时间戳。
+
+        Returns:
+            Optional[int]: 时间戳。
+        """
+        return self.get("CreateTime")
+
+    @property
+    def event_key(self) -> Optional[str]:
+        """
+        事件的 Key 值，例如点击菜单时的 `EventKey`。
+
+        Returns:
+            Optional[str]: 事件 Key。
+        """
+        return self.get("EventKey")
+
+    def __getattr__(self, key: str) -> Optional[Any]:
+        """
+        允许通过属性访问数据中的任意字段。
+
+        Args:
+            key (str): 字段名。
+
+        Returns:
+            Optional[Any]: 字段值。
+        """
+        return self.get(key)
+
+    def __setattr__(self, key: str, value: Any) -> None:
+        """
+        允许通过属性设置数据中的任意字段。
+
+        Args:
+            key (str): 字段名。
+            value (Any): 字段值。
+        """
+        self[key] = value
+
+    def __repr__(self) -> str:
+        """
+        生成事件对象的字符串表示。
+
+        Returns:
+            str: 字符串表示。
+        """
+        return f"<WecomEvent {super().__repr__()}>"

libs/wecom_api/api.py

@@ -228,7 +228,7 @@ class WecomClient():
         if message_data["MsgType"] == "image":
             message_data["MediaId"] = root.find("MediaId").text if root.find("MediaId") is not None else None
             message_data["PicUrl"] = root.find("PicUrl").text if root.find("PicUrl") is not None else None
-    
+        
         return message_data
     
     @staticmethod

pkg/core/bootutils/deps.py

@@ -29,7 +29,8 @@ required_deps = {
     "lark_oapi": "lark-oapi",
     "discord": "discord.py",
     "cryptography": "cryptography",
-    "gewechat_client": "gewechat-client"
+    "gewechat_client": "gewechat-client",
+    "dashscope": "dashscope",
 }
 
 

pkg/core/migrations/m027_wx_official_account_config.py

@@ -0,0 +1,32 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("wx-official-account-config", 27)
+class WXOfficialAccountConfigMigration(migration.Migration):
+    """迁移"""
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移"""
+        
+        for adapter in self.ap.platform_cfg.data['platform-adapters']:
+            if adapter['adapter'] == 'officialaccount':
+                return False
+
+        return True
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.platform_cfg.data['platform-adapters'].append({
+            "adapter": "officialaccount",
+            "enable": False,
+            "token": "",
+            "EncodingAESKey": "",
+            "AppID": "",
+            "AppSecret": "",
+            "host": "0.0.0.0",
+            "port": 2287
+        })
+
+        await self.ap.platform_cfg.dump_config()

pkg/core/migrations/m028_aliyun_requester_config.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("bailian-requester-config", 28)
+class BailianRequesterConfigMigration(migration.Migration):
+    """迁移"""
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移"""
+        
+        return 'bailian-chat-completions' not in self.ap.provider_cfg.data['requester']
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.provider_cfg.data['keys']['bailian'] = [
+            "sk-xxxxxxx"
+        ]
+
+        self.ap.provider_cfg.data['requester']['bailian-chat-completions'] = {
+            "base-url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
+            "args": {},
+            "timeout": 120
+        }
+
+        await self.ap.provider_cfg.dump_config()

pkg/core/migrations/m029_dashscope_app_api_config.py

@@ -0,0 +1,33 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("dashscope-app-api-config", 29)
+class DashscopeAppAPICfgMigration(migration.Migration):
+    """迁移"""
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移"""
+        return 'dashscope-app-api' not in self.ap.provider_cfg.data
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.provider_cfg.data['dashscope-app-api'] = {
+            "app-type": "agent",
+            "api-key": "sk-1234567890",
+            "agent": {
+                "app-id": "Your_app_id",
+                "references_quote": "参考资料来自:"
+            },
+            "workflow": {
+                "app-id": "Your_app_id",
+                "references_quote": "参考资料来自:",
+                "biz_params": {  
+                    "city": "北京",
+                    "date": "2023-08-10"
+                }
+            }
+        }
+
+        await self.ap.provider_cfg.dump_config()

pkg/core/stages/migrate.py

@@ -9,7 +9,10 @@ from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_
 from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config, m013_http_api_config, m014_force_delay_config
 from ..migrations import m015_gitee_ai_config, m016_dify_service_api, m017_dify_api_timeout_params, m018_xai_config, m019_zhipuai_config
 from ..migrations import m020_wecom_config, m021_lark_config, m022_lmstudio_config, m023_siliconflow_config, m024_discord_config, m025_gewechat_config
-from ..migrations import m026_qqofficial_config
+from ..migrations import m026_qqofficial_config, m027_wx_official_account_config, m028_aliyun_requester_config
+
+
+from ..migrations import m029_dashscope_app_api_config
 
 @stage.stage_class("MigrationStage")
 class MigrationStage(stage.BootingStage):

pkg/platform/manager.py

@@ -39,7 +39,7 @@ class PlatformManager:
     
     async def initialize(self):
 
-        from .sources import nakuru, aiocqhttp, qqbotpy, qqofficial, wecom, lark, discord, gewechat
+        from .sources import nakuru, aiocqhttp, qqbotpy, qqofficial, wecom, lark, discord, gewechat, officialaccount
 
         async def on_friend_message(event: platform_events.FriendMessage, adapter: msadapter.MessageSourceAdapter):
 

pkg/platform/sources/officialaccount.py

@@ -0,0 +1,155 @@
+from __future__ import annotations
+import typing
+import asyncio
+import traceback
+import time
+import datetime
+from pkg.core import app
+from pkg.platform.adapter import MessageSourceAdapter
+from pkg.platform.types import events as platform_events, message as platform_message
+
+import aiocqhttp
+import aiohttp
+from libs.official_account_api.oaevent import OAEvent
+from pkg.platform.adapter import MessageSourceAdapter
+from pkg.platform.types import events as platform_events, message as platform_message
+from libs.official_account_api.api import OAClient
+from pkg.core import app
+from .. import adapter
+from ...pipeline.longtext.strategies import forward
+from ...core import app
+from ..types import message as platform_message
+from ..types import events as platform_events
+from ..types import entities as platform_entities
+from ...command.errors import ParamNotEnoughError
+
+
+# 生成的ai回答
+generated_content = {}
+
+class OAMessageConverter(adapter.MessageConverter):
+    @staticmethod
+    async def yiri2target(message_chain: platform_message.MessageChain):
+        for msg in message_chain:
+            if type(msg) is platform_message.Plain:
+                return msg.text
+            
+
+    @staticmethod
+    async def target2yiri(message:str,message_id =-1):
+        yiri_msg_list = []
+        yiri_msg_list.append(
+            platform_message.Source(id=message_id, time=datetime.datetime.now())
+        )
+
+        yiri_msg_list.append(platform_message.Plain(text=message))
+        chain = platform_message.MessageChain(yiri_msg_list)
+
+        return chain
+        
+
+class OAEventConverter(adapter.EventConverter):
+    @staticmethod
+    async def target2yiri(event:OAEvent):
+        if event.type == "text":
+            yiri_chain = await OAMessageConverter.target2yiri(
+                event.message, event.message_id
+            )
+
+            friend = platform_entities.Friend(
+                id=event.user_id,
+                nickname=str(event.user_id),
+                remark="",
+            )
+
+            return platform_events.FriendMessage(
+                sender=friend, message_chain=yiri_chain, time=event.timestamp, source_platform_object=event
+            )
+        else:
+            return None
+
+@adapter.adapter_class("officialaccount")
+class OfficialAccountAdapter(adapter.MessageSourceAdapter):
+
+    bot : OAClient
+    ap : app.Application
+    bot_account_id: str
+    message_converter: OAMessageConverter = OAMessageConverter()
+    event_converter: OAEventConverter = OAEventConverter()
+    config: dict
+
+
+    def __init__(self, config: dict, ap: app.Application):
+        self.config = config
+        
+        self.ap = ap
+
+        required_keys = [
+            "token",
+            "EncodingAESKey",
+            "AppSecret",
+            "AppID",
+        ]
+        missing_keys = [key for key in required_keys if key not in config]
+        if missing_keys:
+            raise ParamNotEnoughError("企业微信缺少相关配置项，请查看文档或联系管理员")
+        
+        self.bot = OAClient(
+            token=config['token'],
+            EncodingAESKey=config['EncodingAESKey'],
+            Appsecret=config['AppSecret'],
+            AppID=config['AppID'], 
+        )
+
+    async def reply_message(self, message_source: platform_events.FriendMessage, message: platform_message.MessageChain, quote_origin: bool = False):
+        global generated_content
+
+        content = await OAMessageConverter.yiri2target(
+            message
+        )
+
+        generated_content[message_source.message_chain.message_id] = content
+        
+    async def send_message(
+        self, target_type: str, target_id: str, message: platform_message.MessageChain
+    ):
+        pass
+
+
+    def register_listener(self, event_type: type, callback: typing.Callable[[platform_events.Event, MessageSourceAdapter], None]):
+        async def on_message(event: OAEvent):
+            self.bot_account_id = event.receiver_id
+            try:
+                return await callback(
+                    await self.event_converter.target2yiri(event), self
+                )
+            except:
+                traceback.print_exc()
+
+        if event_type == platform_events.FriendMessage:
+            self.bot.on_message("text")(on_message)
+        elif event_type == platform_events.GroupMessage:
+            pass
+
+    async def run_async(self):
+        async def shutdown_trigger_placeholder():
+            while True:
+                await asyncio.sleep(1)
+
+        await self.bot.run_task(
+            host=self.config["host"],
+            port=self.config["port"],
+            shutdown_trigger=shutdown_trigger_placeholder,
+        )
+
+    async def kill(self) -> bool:
+        return False
+
+    async def unregister_listener(
+        self,
+        event_type: type,
+        callback: typing.Callable[[platform_events.Event, MessageSourceAdapter], None],
+    ):
+        return super().unregister_listener(event_type, callback)
+    
+    

pkg/platform/sources/qqofficial.py

@@ -47,7 +47,7 @@ class QQOfficialMessageConverter(adapter.MessageConverter):
             yiri_msg_list.append(
                 platform_message.Image(base64=base64_url)
             )
-            
+
         yiri_msg_list.append(platform_message.Plain(text=message))
         chain = platform_message.MessageChain(yiri_msg_list)
         return chain

pkg/platform/sources/wecom.py

@@ -119,9 +119,8 @@ class WecomEventConverter:
             yiri_chain = await WecomMessageConverter.target2yiri(
                 event.message, event.message_id
             )
-
             friend = platform_entities.Friend(
-                id=event.user_id,
+                id=f"u{event.user_id}",
                 nickname=str(event.agent_id),
                 remark="",
             )
@@ -154,7 +153,6 @@ class WecomeAdapter(adapter.MessageSourceAdapter):
     message_converter: WecomMessageConverter = WecomMessageConverter()
     event_converter: WecomEventConverter = WecomEventConverter()
     config: dict
-    ap: app.Application
 
     def __init__(self, config: dict, ap: app.Application):
         self.config = config
@@ -191,12 +189,14 @@ class WecomeAdapter(adapter.MessageSourceAdapter):
             message_source, self.bot_account_id, self.bot
         )
         content_list = await WecomMessageConverter.yiri2target(message, self.bot)
-
+        fixed_user_id = Wecom_event.user_id
+        # 删掉开头的u
+        fixed_user_id = fixed_user_id[1:]
         for content in content_list:
             if content["type"] == "text":
-                await self.bot.send_private_msg(Wecom_event.user_id, Wecom_event.agent_id, content["content"])
+                await self.bot.send_private_msg(fixed_user_id, Wecom_event.agent_id, content["content"])
             elif content["type"] == "image":
-                await self.bot.send_image(Wecom_event.user_id, Wecom_event.agent_id, content["media_id"])
+                await self.bot.send_image(fixed_user_id, Wecom_event.agent_id, content["media_id"])
   
     async def send_message(
         self, target_type: str, target_id: str, message: platform_message.MessageChain

pkg/platform/types/entities.py

@@ -38,6 +38,7 @@ class Friend(Entity):
         return self.nickname or self.remark or ''
 
 
+
 class Permission(str, Enum):
     """群成员身份权限。"""
     Member = "MEMBER"

pkg/provider/modelmgr/modelmgr.py

@@ -6,7 +6,7 @@ from . import entities, requester
 from ...core import app
 
 from . import token
-from .requesters import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat, giteeaichatcmpl, xaichatcmpl, zhipuaichatcmpl, lmstudiochatcmpl, siliconflowchatcmpl
+from .requesters import bailianchatcmpl, chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat, giteeaichatcmpl, xaichatcmpl, zhipuaichatcmpl, lmstudiochatcmpl, siliconflowchatcmpl
 
 FETCH_MODEL_LIST_URL = "https://api.qchatgpt.rockchin.top/api/v2/fetch/model_list"
 

pkg/provider/modelmgr/requesters/bailianchatcmpl.py

@@ -0,0 +1,21 @@
+from __future__ import annotations
+
+import openai
+
+from . import chatcmpl
+from .. import requester
+from ....core import app
+
+
+@requester.requester_class("bailian-chat-completions")
+class BailianChatCompletions(chatcmpl.OpenAIChatCompletions):
+    """阿里云百炼大模型平台 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']['bailian-chat-completions']

pkg/provider/modelmgr/requesters/chatcmpl.py

@@ -61,7 +61,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
 
         async for chunk in resp_gen:
             # print(chunk)
-            if not chunk:
+            if not chunk or not chunk.id or not chunk.choices or not chunk.choices[0] or not chunk.choices[0].delta:
                 continue
 
             if chunk.choices[0].delta.content is not None:
@@ -75,6 +75,9 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
                             break
                     else:
                         tool_calls.append(tool_call)
+            
+            if chunk.choices[0].finish_reason is not None:
+                break
 
         real_tool_calls = []
 

pkg/provider/runnermgr.py

@@ -5,6 +5,7 @@ from ..core import app
 
 from .runners import localagent
 from .runners import difysvapi
+from .runners import dashscopeapi
 
 class RunnerManager:
 
@@ -22,6 +23,8 @@ class RunnerManager:
                 self.using_runner = r(self.ap)
                 await self.using_runner.initialize()
                 break
+        else:
+            raise ValueError(f"未找到请求运行器: {self.ap.provider_cfg.data['runner']}")
 
     def get_runner(self) -> runner.RequestRunner:
         return self.using_runner

pkg/provider/runners/dashscopeapi.py

@@ -0,0 +1,236 @@
+from __future__ import annotations
+
+import typing
+import json
+import base64
+import re
+
+import dashscope
+
+from .. import runner
+from ...core import entities as core_entities
+from .. import entities as llm_entities
+from ...utils import image
+
+class DashscopeAPIError(Exception):
+    """Dashscope API 请求失败"""
+
+    def __init__(self, message: str):
+        self.message = message
+        super().__init__(self.message)
+
+
+@runner.runner_class("dashscope-app-api")
+class DashScopeAPIRunner(runner.RequestRunner):
+    "阿里云百炼DashsscopeAPI对话请求器"
+    
+    # 运行器内部使用的配置
+    app_type: str                   # 应用类型
+    app_id: str                     # 应用ID
+    api_key: str                    # API Key
+    references_quote: str           # 引用资料提示（当展示回答来源功能开启时，这个变量会作为引用资料名前的提示，可在provider.json中配置）
+    biz_params: dict = {}           # 工作流应用参数（仅在工作流应用中生效）
+
+    async def initialize(self):
+        """初始化"""
+        valid_app_types = ["agent", "workflow"]
+        self.app_type = self.ap.provider_cfg.data["dashscope-app-api"]["app-type"]
+        #检查配置文件中使用的应用类型是否支持
+        if (self.app_type not in valid_app_types):
+            raise DashscopeAPIError(
+                f"不支持的 Dashscope 应用类型: {self.app_type}"
+            )
+        
+        #初始化Dashscope 参数配置
+        self.app_id = self.ap.provider_cfg.data["dashscope-app-api"][self.app_type]["app-id"]
+        self.api_key = self.ap.provider_cfg.data["dashscope-app-api"]["api-key"]
+        self.references_quote = self.ap.provider_cfg.data["dashscope-app-api"][self.app_type]["references_quote"]
+        self.biz_params = self.ap.provider_cfg.data["dashscope-app-api"]["workflow"]["biz_params"]
+     
+    def _replace_references(self, text, references_dict):
+        """阿里云百炼平台的自定义应用支持资料引用，此函数可以将引用标签替换为参考资料"""
+        
+        # 匹配 <ref>[index_id]</ref> 形式的字符串
+        pattern = re.compile(r'<ref>\[(.*?)\]</ref>')
+
+        def replacement(match):
+            # 获取引用编号
+            ref_key = match.group(1)  
+            if ref_key in references_dict:
+                # 如果有对应的参考资料按照provider.json中的reference_quote返回提示，来自哪个参考资料文件
+                return f"({self.references_quote} {references_dict[ref_key]})"
+            else:
+                # 如果没有对应的参考资料，保留原样
+                return match.group(0)  
+
+        # 使用 re.sub() 进行替换
+        return pattern.sub(replacement, text)
+
+    async def _preprocess_user_message(
+        self, query: core_entities.Query
+    ) -> tuple[str, list[str]]:
+        """预处理用户消息，提取纯文本，阿里云提供的上传文件方法过于复杂，暂不支持上传文件（包括图片）"""
+        plain_text = ""
+        image_ids = []
+        if isinstance(query.user_message.content, list):
+            for ce in query.user_message.content:
+                if ce.type == "text":
+                    plain_text += ce.text
+                # 暂时不支持上传图片，保留代码以便后续扩展
+                # elif ce.type == "image_base64":       
+                #     image_b64, image_format = await image.extract_b64_and_format(ce.image_base64)
+                #     file_bytes = base64.b64decode(image_b64)
+                #     file = ("img.png", file_bytes, f"image/{image_format}")
+                #     file_upload_resp = await self.dify_client.upload_file(
+                #         file,
+                #         f"{query.session.launcher_type.value}_{query.session.launcher_id}",
+                #     )
+                #     image_id = file_upload_resp["id"]
+                #     image_ids.append(image_id)
+        elif isinstance(query.user_message.content, str):
+            plain_text = query.user_message.content
+
+        return plain_text, image_ids
+    
+    
+    async def _agent_messages(
+        self, query: core_entities.Query
+    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
+        """Dashscope 智能体对话请求"""
+        
+        #局部变量
+        chunk = None            # 流式传输的块
+        pending_content = ""    # 待处理的Agent输出内容
+        references_dict = {}    # 用于存储引用编号和对应的参考资料
+        plain_text = ""         # 用户输入的纯文本信息
+        image_ids = []          # 用户输入的图片ID列表 （暂不支持）
+        
+        plain_text, image_ids = await self._preprocess_user_message(query)
+        
+        #发送对话请求
+        response = dashscope.Application.call(
+            api_key=self.api_key,                               # 智能体应用的API Key
+            app_id=self.app_id,                                 # 智能体应用的ID
+            prompt=plain_text,                                  # 用户输入的文本信息
+            stream=True,                                        # 流式输出
+            incremental_output=True,                            # 增量输出，使用流式输出需要开启增量输出
+            session_id=query.session.using_conversation.uuid,   # 会话ID用于，多轮对话
+            # rag_options={                                     # 主要用于文件交互，暂不支持
+            #     "session_file_ids": ["FILE_ID1"],             # FILE_ID1 替换为实际的临时文件ID,逗号隔开多个
+            # }
+        )
+
+        for chunk in response:
+            if chunk.get("status_code") != 200:
+                raise DashscopeAPIError(
+                    f"Dashscope API 请求失败: status_code={chunk.get('status_code')} message={chunk.get('message')} request_id={chunk.get('request_id')} "
+                )
+            if not chunk:
+                continue
+            
+            #获取流式传输的output
+            stream_output = chunk.get("output", {})
+            if stream_output.get("text") is not None:
+                pending_content += stream_output.get("text")
+        
+        #保存当前会话的session_id用于下次对话的语境
+        query.session.using_conversation.uuid = stream_output.get("session_id")
+        
+        #获取模型传出的参考资料列表
+        references_dict_list = stream_output.get("doc_references", [])
+        
+        #从模型传出的参考资料信息中提取用于替换的字典
+        if references_dict_list is not None:
+            for doc in references_dict_list:
+                if doc.get("index_id") is not None:
+                    references_dict[doc.get("index_id")] = doc.get("doc_name")
+                    
+            #将参考资料替换到文本中
+            pending_content = self._replace_references(pending_content, references_dict)
+        
+        yield llm_entities.Message(
+            role="assistant",
+            content=pending_content,
+        )
+    
+    
+    async def _workflow_messages(
+        self, query: core_entities.Query
+    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
+        """Dashscope 工作流对话请求"""
+        
+        #局部变量
+        chunk = None            # 流式传输的块
+        pending_content = ""    # 待处理的Agent输出内容
+        references_dict = {}    # 用于存储引用编号和对应的参考资料
+        plain_text = ""         # 用户输入的纯文本信息
+        image_ids = []          # 用户输入的图片ID列表 （暂不支持）
+        
+        plain_text, image_ids = await self._preprocess_user_message(query)
+        
+        #发送对话请求
+        response = dashscope.Application.call(
+            api_key=self.api_key,                               # 智能体应用的API Key
+            app_id=self.app_id,                                 # 智能体应用的ID
+            prompt=plain_text,                                  # 用户输入的文本信息
+            stream=True,                                        # 流式输出
+            incremental_output=True,                            # 增量输出，使用流式输出需要开启增量输出
+            session_id=query.session.using_conversation.uuid,   # 会话ID用于，多轮对话
+            biz_params=self.biz_params                          # 工作流应用的自定义输入参数传递
+            # rag_options={                                     # 主要用于文件交互，暂不支持
+            #     "session_file_ids": ["FILE_ID1"],             # FILE_ID1 替换为实际的临时文件ID,逗号隔开多个
+            # }
+        )
+        
+        #处理API返回的流式输出
+        for chunk in response:
+            if chunk.get("status_code") != 200:
+                raise DashscopeAPIError(
+                    f"Dashscope API 请求失败: status_code={chunk.get('status_code')} message={chunk.get('message')} request_id={chunk.get('request_id')} "
+                )
+            if not chunk:
+                continue
+            
+            #获取流式传输的output
+            stream_output = chunk.get("output", {})
+            if stream_output.get("text") is not None:
+                pending_content += stream_output.get("text")
+        
+        #保存当前会话的session_id用于下次对话的语境
+        query.session.using_conversation.uuid = stream_output.get("session_id")
+        
+        #获取模型传出的参考资料列表
+        references_dict_list = stream_output.get("doc_references", [])
+        
+        #从模型传出的参考资料信息中提取用于替换的字典
+        if references_dict_list is not None:
+            for doc in references_dict_list:
+                if doc.get("index_id") is not None:
+                    references_dict[doc.get("index_id")] = doc.get("doc_name")
+                    
+            #将参考资料替换到文本中
+            pending_content = self._replace_references(pending_content, references_dict)
+        
+        yield llm_entities.Message(
+            role="assistant",
+            content=pending_content,
+        )
+    
+    
+    
+    async def run(
+        self, query: core_entities.Query
+    ) -> typing.AsyncGenerator[llm_entities.Message, None]:
+        """运行"""
+        if self.ap.provider_cfg.data["dashscope-app-api"]["app-type"] == "agent":
+            async for msg in self._agent_messages(query):
+                yield msg
+        elif self.ap.provider_cfg.data["dashscope-app-api"]["app-type"] == "workflow":
+            async for msg in self._workflow_messages(query):
+                yield msg
+        else:
+            raise DashscopeAPIError(
+                f"不支持的 Dashscope 应用类型: {self.ap.provider_cfg.data['dashscope-app-api']['app-type']}"
+            )
+
+

pkg/utils/constants.py

@@ -1,4 +1,4 @@
-semantic_version = "v3.4.6.2"
+semantic_version = "v3.4.7.1"
 
 debug_mode = False
 

requirements.txt

@@ -29,6 +29,7 @@ lark-oapi
 discord.py
 cryptography
 gewechat-client
+dashscope
 
 # indirect
 taskgroup==0.0.0a4

templates/platform.json

@@ -65,6 +65,16 @@
             "callback_url": "http://your-callback-url:2286/gewechat/callback",
             "app_id": "",
             "token": ""
+        },
+        {
+            "adapter":"officialaccount",
+            "enable": false,
+            "token": "",
+            "EncodingAESKey":"",
+            "AppID":"",
+            "AppSecret":"",
+            "host": "0.0.0.0",
+            "port": 2287
         }
     ],
     "track-function-calls": true,

templates/provider.json

@@ -25,6 +25,9 @@
         ],
         "siliconflow": [
             "xxxxxxx"
+        ],
+        "bailian": [
+            "sk-xxxxxxx"
         ]
     },
     "requester": {
@@ -79,12 +82,17 @@
             "base-url": "https://api.siliconflow.cn/v1",
             "args": {},
             "timeout": 120
+        },
+        "bailian-chat-completions": {
+            "args": {},
+            "base-url": "https://dashscope.aliyuncs.com/compatible-mode/v1",
+            "timeout": 120
         }
     },
     "model": "gpt-4o",
     "prompt-mode": "normal",
     "prompt": {
-        "default": "" 
+        "default": ""
     },
     "runner": "local-agent",
     "dify-service-api": {
@@ -103,5 +111,21 @@
             "output-key": "summary",
             "timeout": 120
         }
+    },
+    "dashscope-app-api": {
+        "app-type": "agent",
+        "api-key": "sk-1234567890",
+        "agent": {
+            "app-id": "Your_app_id",
+            "references_quote": "参考资料来自:"
+        },
+        "workflow": {
+            "app-id": "Your_app_id",
+            "references_quote": "参考资料来自:",
+            "biz_params": {  
+                "city": "北京",
+                "date": "2023-08-10"
+            }
+        }
     }
 }

templates/schema/platform.json

@@ -331,6 +331,51 @@
                                 "description": "gewechat 的 token"
                             }
                         }
+                    },
+                    {
+                        "title": "微信公众号适配器",
+                        "description": "用于接入微信公众号",
+                        "properties": {
+                            "adapter": {
+                                "type": "string",
+                                "const": "officialaccount"
+                            },
+                            "enable": {
+                                "type": "boolean",
+                                "default": false,
+                                "description": "是否启用此适配器"
+                            },
+                            "token": {
+                                "type": "string",
+                                "default": "",
+                                "description": "微信公众号的token"
+                            },
+                            "EncodingAESKey": {
+                                "type": "string",
+                                "default": "",
+                                "description": "微信公众号的EncodingAESKey"
+                            },
+                            "AppID": {
+                                "type": "string",
+                                "default": "",
+                                "description": "微信公众号的AppID"
+                            },
+                            "AppSecret": {
+                                "type": "string",
+                                "default": "",
+                                "description": "微信公众号的AppSecret"
+                            },
+                            "host": {
+                                "type": "string",
+                                "default": "0.0.0.0",
+                                "description": "监听的IP地址"
+                            },
+                            "port": {
+                                "type": "integer",
+                                "default": 2287,
+                                "description": "监听的端口"
+                            }
+                        }
                     }
                 ]
             }

templates/schema/provider.json

@@ -82,6 +82,14 @@
                         "type": "string"
                     },
                     "default": []
+                },
+                "bailian": {
+                    "type": "array",
+                    "title": "阿里云百炼大模型平台 API 密钥",
+                    "items": {
+                        "type": "string"
+                    },
+                    "default": []
                 }
             }
         },
@@ -288,6 +296,26 @@
                             "default": 120
                         }
                     }
+                },
+                "bailian-chat-completions": {
+                    "type": "object",
+                    "title": "阿里云百炼大模型平台 API 请求配置",
+                    "description": "仅可编辑 URL 和 超时时间，额外请求参数不支持可视化编辑，请到编辑器编辑",
+                    "properties": {
+                        "base-url": {
+                            "type": "string",
+                            "title": "API URL"
+                        },
+                        "args": {
+                            "type": "object",
+                            "default": {}
+                        },
+                        "timeout": {
+                            "type": "number",
+                            "title": "API 请求超时时间",
+                            "default": 120
+                        }
+                    }
                 }
             }
         },
@@ -397,6 +425,59 @@
                     }
                 }
             }
+        },
+        "dashscope-app-api": {
+            "type": "object",
+            "title": "阿里百炼平台自建应用 API 配置",
+            "properties": {
+                "app-type": {
+                    "type": "string",
+                    "title": "应用类型",
+                    "description": "支持 workflow 和 agent，workflow：智能体编排；agent：普通智能体；请填写下方对应的应用类型 API 参数",
+                    "enum": ["workflow", "agent"],
+                    "default": "agent"
+                },
+                "api-key": {
+                    "type": "string",
+                    "title": "API 密钥"
+                },
+                "agent": {
+                    "type": "object",
+                    "title": "Agent API 参数",
+                    "properties": {
+                        "app-id": {
+                            "type": "string",
+                            "title": "应用 ID"
+                        },
+                        "references_quote": {
+                            "type": "string",
+                            "title": "参考资料引用",
+                            "description": "设置参考资料引用，用于从 Dashscope App API 结束节点返回的 JSON 数据中提取引用内容",
+                            "default": "参考资料来自:"
+                        }
+                    }
+                },
+                "workflow": {
+                    "type": "object",
+                    "title": "工作流 API 参数",
+                    "properties": {
+                        "app-id": {
+                            "type": "string",
+                            "title": "应用 ID"
+                        },
+                        "references_quote": {
+                            "type": "string",
+                            "title": "参考资料引用",
+                            "default": "参考资料来自:"
+                        },
+                        "biz_params": {
+                            "type": "object",
+                            "title": "传入参数",
+                            "default": {}
+                        }
+                    }
+                }
+            }
         }
     }
 }