chore: release v3.4.7.2

fix the bug that wecom couldnt send message when accept an image.

README.md

@@ -111,7 +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

@@ -110,7 +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

@@ -108,7 +108,7 @@ LangBotはBTPanelにリストされています。BTPanelをインストール
 | [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) |
+| [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
 

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/m021_lark_config.py

@@ -23,7 +23,10 @@ class LarkConfigMigration(migration.Migration):
             "enable": False,
             "app_id": "cli_abcdefgh",
             "app_secret": "XXXXXXXXXX",
-            "bot_name": "LangBot"
+            "bot_name": "LangBot",
+            "enable-webhook": False,
+            "port": 2285,
+            "encrypt-key": "xxxxxxxxx"
         })
 
         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/migrations/m030_lark_config_cmpl.py

@@ -0,0 +1,31 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("lark-config-cmpl", 30)
+class LarkConfigCmplMigration(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'] == 'lark':
+                if 'enable-webhook' not in adapter:
+                    return True
+
+        return False
+
+    async def run(self):
+        """执行迁移"""
+        for adapter in self.ap.platform_cfg.data['platform-adapters']:
+            if adapter['adapter'] == 'lark':
+                if 'enable-webhook' not in adapter:
+                    adapter['enable-webhook'] = False
+                if 'port' not in adapter:
+                    adapter['port'] = 2285
+                if 'encrypt-key' not in adapter:
+                    adapter['encrypt-key'] = "xxxxxxxxx"
+
+        await self.ap.platform_cfg.dump_config()

pkg/core/stages/migrate.py

@@ -9,7 +9,9 @@ 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, m027_wx_official_account_config
+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
+
 
 @stage.stage_class("MigrationStage")
 class MigrationStage(stage.BootingStage):

pkg/platform/sources/lark.py

@@ -11,10 +11,16 @@ import base64
 import uuid
 import json
 import datetime
+import hashlib
+import base64
+from Crypto.Cipher import AES
 
 import aiohttp
 import lark_oapi.ws.exception
+import quart
+from flask import jsonify
 from lark_oapi.api.im.v1 import *
+from lark_oapi.api.verification.v1 import GetVerificationRequest
 
 from .. import adapter
 from ...pipeline.longtext.strategies import forward
@@ -25,6 +31,28 @@ from ..types import entities as platform_entities
 from ...utils import image
 
 
+class  AESCipher(object):
+    def __init__(self, key):
+        self.bs = AES.block_size
+        self.key=hashlib.sha256(AESCipher.str_to_bytes(key)).digest()
+    @staticmethod
+    def str_to_bytes(data):
+        u_type = type(b"".decode('utf8'))
+        if isinstance(data, u_type):
+            return data.encode('utf8')
+        return data
+    @staticmethod
+    def _unpad(s):
+        return s[:-ord(s[len(s) - 1:])]
+    def decrypt(self, enc):
+        iv = enc[:AES.block_size]
+        cipher = AES.new(self.key, AES.MODE_CBC, iv)
+        return  self._unpad(cipher.decrypt(enc[AES.block_size:]))
+    def decrypt_string(self, enc):
+        enc = base64.b64decode(enc)
+        return  self.decrypt(enc).decode('utf8')
+
+
 class LarkMessageConverter(adapter.MessageConverter):
 
     @staticmethod
@@ -288,12 +316,57 @@ class LarkMessageSourceAdapter(adapter.MessageSourceAdapter):
     ] = {}
 
     config: dict
-
+    quart_app: quart.Quart
     ap: app.Application
 
     def __init__(self, config: dict, ap: app.Application):
         self.config = config
         self.ap = ap
+        self.quart_app = quart.Quart(__name__)
+
+        @self.quart_app.route('/lark/callback', methods=['POST'])
+        async def lark_callback():
+            try:
+                data = await quart.request.json
+
+                if 'encrypt' in data:
+                    cipher = AESCipher(self.config['encrypt-key'])
+                    data = cipher.decrypt_string(data['encrypt'])
+                    data = json.loads(data)
+
+                type =  data.get("type")
+                if type is None :
+                    context = EventContext(data)
+                    type = context.header.event_type
+                
+                if 'url_verification' == type:
+                    print(data.get("challenge"))
+                    # todo 验证verification token
+                    return {
+                        "challenge": data.get("challenge")
+                    }
+                context = EventContext(data)
+                type = context.header.event_type
+                p2v1 = P2ImMessageReceiveV1()
+                p2v1.header = context.header
+                event = P2ImMessageReceiveV1Data()
+                event.message = EventMessage(context.event['message'])
+                event.sender = EventSender(context.event['sender'])
+                p2v1.event = event
+                p2v1.schema = context.schema
+                if 'im.message.receive_v1' == type:
+                    try:
+                        event = await self.event_converter.target2yiri(p2v1, self.api_client)
+                    except Exception as e:
+                        traceback.print_exc()
+
+                    if event.__class__ in self.listeners:
+                        await self.listeners[event.__class__](event, self)
+
+                return {"code": 200, "message": "ok"}
+            except Exception as e:
+                traceback.print_exc()
+                return {"code": 500, "message": "error"}
 
         async def on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
 
@@ -392,16 +465,29 @@ class LarkMessageSourceAdapter(adapter.MessageSourceAdapter):
         self.listeners.pop(event_type)
 
     async def run_async(self):
-        try:
-            await self.bot._connect()
-        except lark_oapi.ws.exception.ClientException as e:
-            raise e
-        except Exception as e:
-            await self.bot._disconnect()
-            if self.bot._auto_reconnect:
-                await self.bot._reconnect()
-            else:
-                raise e
+        port = self.config['port']
+        enable_webhook = self.config['enable-webhook']
 
+        if not enable_webhook:
+            try:
+                await self.bot._connect()
+            except lark_oapi.ws.exception.ClientException as e:
+                raise e
+            except Exception as e:
+                await self.bot._disconnect()
+                if self.bot._auto_reconnect:
+                    await self.bot._reconnect()
+                else:
+                    raise e
+        else:
+            async def shutdown_trigger_placeholder():
+                while True:
+                    await asyncio.sleep(1)
+
+            await self.quart_app.run_task(
+                host='0.0.0.0',
+                port=port,
+                shutdown_trigger=shutdown_trigger_placeholder,
+            )
     async def kill(self) -> bool:
         return False

pkg/platform/sources/wecom.py

@@ -130,7 +130,7 @@ class WecomEventConverter:
             )
         elif event.type == "image":
             friend = platform_entities.Friend(
-                id=event.user_id,
+                id=f"u{event.user_id}",
                 nickname=str(event.agent_id),
                 remark="",
             )

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 = "v3.4.7"
+semantic_version = "v3.4.7.2"
 
 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

@@ -49,7 +49,10 @@
             "enable": false,
             "app_id": "cli_abcdefgh",
             "app_secret": "XXXXXXXXXX",
-            "bot_name": "LangBot"
+            "bot_name": "LangBot",
+            "enable-webhook": false,
+            "port": 2285,
+            "encrypt-key": "xxxxxxxxx"
         },
         {
             "adapter": "discord",

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

@@ -252,6 +252,21 @@
                                 "type": "string",
                                 "default": "",
                                 "description": "飞书的bot_name"
+                            },
+                            "enable-webhook": {
+                                "type": "boolean",
+                                "default": false,
+                                "description": "是否启用webhook模式"
+                            },
+                            "port": {
+                                "type": "integer",
+                                "description": "设置监听的端口,开启callback event时需要设置",
+                                "default": 2285
+                            },
+                            "encrypt-key": {
+                                "type": "string",
+                                "default": "",
+                                "description": "设置加密密钥"
                             }
                         }
                     },

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": {}
+                        }
+                    }
+                }
+            }
         }
     }
 }