chore: release v3.4.5

feat: add `discord` adapter

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -12,6 +12,8 @@ body:
         - Nakuru（go-cqhttp）
         - aiocqhttp（使用 OneBot 协议接入的）
         - qq-botpy（QQ官方API）
+        - lark（飞书）
+        - wecom（企业微信）
     validations:
       required: true
   - type: input
@@ -30,9 +32,9 @@ body:
   - type: textarea
     attributes:
       label: 复现步骤
-      description: 如何重现这个问题，越详细越好
+      description: 如何重现这个问题，越详细越好；请贴上所有相关的配置文件和元数据文件（注意隐去敏感信息）
     validations:
-      required: false
+      required: true
   - type: textarea
     attributes:
       label: 启用的插件

README.md

@@ -15,21 +15,14 @@
 <a href="https://docs.langbot.app/plugin/plugin-intro.html">插件介绍</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">提交插件</a>
 
-
 <div align="center">
-😎高稳定、🧩支持扩展、🦄多模态 - 基于大语言模型的即时通讯机器人平台🤖  
+😎高稳定、🧩支持扩展、🦄多模态 - 大模型原生即时通信机器人平台🤖  
 </div>
 
 <br/>
 
-<a href="http://qm.qq.com/cgi-bin/qm/qr?_wv=1027&k=66-aWvn8cbP4c1ut_1YYkvvGVeEtyTH8&authKey=pTaKBK5C%2B8dFzQ4XlENf6MHTCLaHnlKcCRx7c14EeVVlpX2nRSaS8lJm8YeM4mCU&noverify=0&group_code=195992197">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E5%AE%98%E6%96%B9%E7%BE%A4-195992197-green">
-</a>
-<a href="https://qm.qq.com/q/PClALFK242">
-<img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-619154800-green">
-</a>
-<br/>
 
+[![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">
@@ -39,7 +32,7 @@
 
 ## ✨ Features
 
-- 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态能力，并深度适配 [Dify](https://dify.ai)。目前支持 QQ、QQ频道，后续还将支持微信、WhatsApp、Discord等平台。
+- 💬 大模型对话、Agent：支持多种大模型，适配群聊和私聊；具有多轮对话、工具调用、多模态能力，并深度适配 [Dify](https://dify.ai)。目前支持 QQ、QQ频道、企业微信、飞书，后续还将支持微信、WhatsApp、Discord等平台。
 - 🛠️ 高稳定性、功能完备：原生支持访问控制、限速、敏感词过滤等机制；配置简单，支持多种部署方式。
 - 🧩 插件扩展、活跃社区：支持事件驱动、组件扩展等插件机制；丰富生态，目前已有数十个[插件](https://docs.langbot.app/plugin/plugin-intro.html)
 - 😻 [New] Web 管理面板：支持通过浏览器管理 LangBot 实例，具体支持功能，查看[文档](https://docs.langbot.app/webui/intro.html)
@@ -87,8 +80,12 @@
 | 平台 | 状态 | 备注 |
 | --- | --- | --- |
 | QQ 个人号 | ✅ | QQ 个人号私聊、群聊 |
-| QQ 官方机器人 | ✅ | QQ 频道机器人，支持频道、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 | ✅ |  |
+| 飞书 | ✅ |  |
+| Discord | ✅ |  |
+| 个人微信 | 🚧 |  |
+| WhatsApp | 🚧 |  |
 | 钉钉 | 🚧 |  |
 
 🚧: 正在开发中
@@ -104,5 +101,17 @@
 | [xAI](https://x.ai/) | ✅ |  |
 | [智谱AI](https://open.bigmodel.cn/) | ✅ |  |
 | [Dify](https://dify.ai) | ✅ | LLMOps 平台 |
-| [Ollama](https://ollama.com/) | ✅ | 本地大模型管理平台 |
+| [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 |
 | [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 |
+
+## 😘 社区贡献
+
+LangBot 离不开以下贡献者和社区内所有人的贡献，我们欢迎任何形式的贡献和反馈。
+
+
+<a href="https://github.com/RockChinQ/LangBot/graphs/contributors">
+  <img src="https://contrib.rocks/image?repo=RockChinQ/LangBot" />
+</a>

libs/wecom_api/api.py

@@ -110,8 +110,17 @@ class WecomClient():
                 "enable_duplicate_check": 0,
                 "duplicate_check_interval": 1800
             }
-            response = await client.post(url,json=params)
+            try:
-            data = response.json()
+                response = await client.post(url,json=params)
+                data = response.json()
+            except Exception as e:
+                raise Exception("Failed to send image: "+str(e))
+
+            # 企业微信错误码40014和42001，代表accesstoken问题
+            if data['errcode'] == 40014 or data['errcode'] == 42001:
+                self.access_token = await self.get_access_token(self.secret)
+                return await self.send_image(user_id,agent_id,media_id)
+
             if data['errcode'] != 0:
                 raise Exception("Failed to send image: "+str(data))
             
@@ -136,7 +145,9 @@ class WecomClient():
             }
             response = await client.post(url,json=params)
             data = response.json()
-            
+            if data['errcode'] == 40014 or data['errcode'] == 42001:
+                self.access_token = await self.get_access_token(self.secret)
+                return await self.send_private_msg(user_id,agent_id,content)
             if data['errcode'] != 0:
                 raise Exception("Failed to send message: "+str(data))
 
@@ -286,11 +297,14 @@ class WecomClient():
         async with httpx.AsyncClient() as client:
             response = await client.post(url, headers=headers, content=body)
             data = response.json()
+            if data['errcode'] == 40014 or data['errcode'] == 42001:
+                self.access_token = await self.get_access_token(self.secret)
+                media_id = await self.upload_to_work(image)
             if data.get('errcode', 0) != 0:
                 raise Exception("failed to upload file")
 
-            return data.get('media_id')
+            media_id = data.get('media_id')
-
+            return media_id
 
     async def download_image_to_bytes(self,url:str) -> bytes:
         async with httpx.AsyncClient() as client:

pkg/core/bootutils/deps.py

@@ -1,5 +1,7 @@
 import pip
 
+# 检查依赖，防止用户未安装
+# 左边为引入名称，右边为依赖名称
 required_deps = {
     "requests": "requests",
     "openai": "openai",
@@ -23,6 +25,9 @@ required_deps = {
     "aioshutil": "aioshutil",
     "argon2": "argon2-cffi",
     "jwt": "pyjwt",
+    "Crypto": "pycryptodome",
+    "lark_oapi": "lark-oapi",
+    "discord": "discord.py"
 }
 
 

pkg/core/migrations/m021_lark_config.py

@@ -0,0 +1,29 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("lark-config", 21)
+class LarkConfigMigration(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':
+                return False
+
+        return True
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.platform_cfg.data['platform-adapters'].append({
+            "adapter": "lark",
+            "enable": False,
+            "app_id": "cli_abcdefgh",
+            "app_secret": "XXXXXXXXXX",
+            "bot_name": "LangBot"
+        })
+
+        await self.ap.platform_cfg.dump_config()

pkg/core/migrations/m022_lmstudio_config.py

@@ -0,0 +1,23 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("lmstudio-config", 22)
+class LmStudioConfigMigration(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 'lmstudio-chat-completions' not in self.ap.provider_cfg.data['requester']
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.provider_cfg.data['requester']['lmstudio-chat-completions'] = {
+            "base-url": "http://127.0.0.1:1234/v1",
+            "args": {},
+            "timeout": 120
+        }
+
+        await self.ap.provider_cfg.dump_config()

pkg/core/migrations/m023_siliconflow_config.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("siliconflow-config", 23)
+class SiliconFlowConfigMigration(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 'siliconflow-chat-completions' not in self.ap.provider_cfg.data['requester']
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.provider_cfg.data['keys']['siliconflow'] = [
+            "xxxxxxx"
+        ]
+
+        self.ap.provider_cfg.data['requester']['siliconflow-chat-completions'] = {
+            "base-url": "https://api.siliconflow.cn/v1",
+            "args": {},
+            "timeout": 120
+        }
+
+        await self.ap.provider_cfg.dump_config()

pkg/core/migrations/m024_discord_config.py

@@ -0,0 +1,28 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("discord-config", 24)
+class DiscordConfigMigration(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'] == 'discord':
+                return False
+
+        return True
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.platform_cfg.data['platform-adapters'].append({
+            "adapter": "discord",
+            "enable": False,
+            "client_id": "1234567890",
+            "token": "XXXXXXXXXX"
+        })
+
+        await self.ap.platform_cfg.dump_config()

pkg/core/stages/migrate.py

@@ -8,7 +8,7 @@ from ..migrations import m001_sensitive_word_migration, m002_openai_config_migra
 from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_qcg_center_url, m008_ad_fixwin_config_migrate, m009_msg_truncator_cfg
 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
+from ..migrations import m020_wecom_config, m021_lark_config, m022_lmstudio_config, m023_siliconflow_config, m024_discord_config
 
 
 @stage.stage_class("MigrationStage")

pkg/platform/manager.py

@@ -37,7 +37,7 @@ class PlatformManager:
     
     async def initialize(self):
 
-        from .sources import nakuru, aiocqhttp, qqbotpy,wecom
+        from .sources import nakuru, aiocqhttp, qqbotpy, wecom, lark, discord
 
         async def on_friend_message(event: platform_events.FriendMessage, adapter: msadapter.MessageSourceAdapter):
 

pkg/platform/sources/discord.py

@@ -0,0 +1,264 @@
+from __future__ import annotations
+
+import discord
+
+import typing
+import asyncio
+import traceback
+import time
+import re
+import base64
+import uuid
+import json
+import os
+import datetime
+
+import aiohttp
+
+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 ...utils import image
+
+
+class DiscordMessageConverter(adapter.MessageConverter):
+
+    @staticmethod
+    async def yiri2target(
+        message_chain: platform_message.MessageChain
+    ) -> typing.Tuple[str, typing.List[discord.File]]:
+        for ele in message_chain:
+            if isinstance(ele, platform_message.At):
+                message_chain.remove(ele)
+                break
+
+        text_string = ""
+        image_files = []
+
+        for ele in message_chain:
+            if isinstance(ele, platform_message.Image):
+                image_bytes = None
+
+                if ele.base64:
+                    image_bytes = base64.b64decode(ele.base64)
+                elif ele.url:
+                    async with aiohttp.ClientSession() as session:
+                        async with session.get(ele.url) as response:
+                            image_bytes = await response.read()
+                elif ele.path:
+                    with open(ele.path, "rb") as f:
+                        image_bytes = f.read()
+
+                image_files.append(discord.File(fp=image_bytes, filename=f"{uuid.uuid4()}.png"))
+            elif isinstance(ele, platform_message.Plain):
+                text_string += ele.text
+
+        return text_string, image_files
+
+    @staticmethod
+    async def target2yiri(
+        message: discord.Message
+    ) -> platform_message.MessageChain:
+        lb_msg_list = []
+
+        msg_create_time = datetime.datetime.fromtimestamp(
+            int(message.created_at.timestamp())
+        )
+
+        lb_msg_list.append(
+            platform_message.Source(id=message.id, time=msg_create_time)
+        )
+
+        element_list = []
+
+        def text_element_recur(text_ele: str) -> list[platform_message.MessageComponent]:
+            if text_ele == "":
+                return []
+
+            # <@1234567890>
+            # @everyone
+            # @here
+            at_pattern = re.compile(r"(@everyone|@here|<@[\d]+>)")
+            at_matches = at_pattern.findall(text_ele)
+            
+            if len(at_matches) > 0:
+                mid_at = at_matches[0]
+
+                text_split = text_ele.split(mid_at)
+
+                mid_at_component = []
+
+                if mid_at == "@everyone" or mid_at == "@here":
+                    mid_at_component.append(platform_message.AtAll())
+                else:
+                    mid_at_component.append(platform_message.At(target=mid_at[2:-1]))
+
+                return text_element_recur(text_split[0]) + \
+                    mid_at_component + \
+                    text_element_recur(text_split[1])
+            else:
+                return [platform_message.Plain(text=text_ele)]
+
+        
+        element_list.extend(text_element_recur(message.content))
+
+        # attachments
+        for attachment in message.attachments:
+            async with aiohttp.ClientSession(trust_env=True) as session:
+                async with session.get(attachment.url) as response:
+                    image_data = await response.read()
+                    image_base64 = base64.b64encode(image_data).decode("utf-8")
+                    image_format = response.headers["Content-Type"]
+                    element_list.append(platform_message.Image(base64=f"data:{image_format};base64,{image_base64}"))
+
+        return platform_message.MessageChain(element_list)
+
+
+class DiscordEventConverter(adapter.EventConverter):
+
+    @staticmethod
+    async def yiri2target(
+        event: platform_events.Event
+    ) -> discord.Message:
+        pass
+
+    @staticmethod
+    async def target2yiri(
+        event: discord.Message
+    ) -> platform_events.Event:
+        message_chain = await DiscordMessageConverter.target2yiri(event)
+
+        if type(event.channel) == discord.DMChannel:
+            return platform_events.FriendMessage(
+                sender=platform_entities.Friend(
+                    id=event.author.id,
+                    nickname=event.author.name,
+                    remark=event.channel.id,
+                ),
+                message_chain=message_chain,
+                time=event.created_at.timestamp(),
+                source_platform_object=event,
+            )
+        elif type(event.channel) == discord.TextChannel:
+            return platform_events.GroupMessage(
+                sender=platform_entities.GroupMember(
+                    id=event.author.id,
+                    member_name=event.author.name,
+                    permission=platform_entities.Permission.Member,
+                    group=platform_entities.Group(
+                        id=event.channel.id,
+                        name=event.channel.name,
+                        permission=platform_entities.Permission.Member,
+                    ),
+                    special_title="",
+                    join_timestamp=0,
+                    last_speak_timestamp=0,
+                    mute_time_remaining=0,
+                ),
+                message_chain=message_chain,
+                time=event.created_at.timestamp(),
+                source_platform_object=event,
+            )
+
+@adapter.adapter_class("discord")
+class DiscordMessageSourceAdapter(adapter.MessageSourceAdapter):
+
+    bot: discord.Client
+
+    bot_account_id: str  # 用于在流水线中识别at是否是本bot，直接以bot_name作为标识
+
+    config: dict
+
+    ap: app.Application
+
+    message_converter: DiscordMessageConverter = DiscordMessageConverter()
+    event_converter: DiscordEventConverter = DiscordEventConverter()
+
+    listeners: typing.Dict[
+        typing.Type[platform_events.Event],
+        typing.Callable[[platform_events.Event, adapter.MessageSourceAdapter], None],
+    ] = {}
+
+    def __init__(self, config: dict, ap: app.Application):
+        self.config = config
+        self.ap = ap
+
+        self.bot_account_id = self.config["client_id"]
+
+        adapter_self = self
+
+        class MyClient(discord.Client):
+
+            async def on_message(self: discord.Client, message: discord.Message):
+                if message.author.id == self.user.id or message.author.bot:
+                    return
+
+                lb_event = await adapter_self.event_converter.target2yiri(message)
+                await adapter_self.listeners[type(lb_event)](lb_event, adapter_self)
+
+        intents = discord.Intents.default()
+        intents.message_content = True
+
+        args = {}
+
+        if os.getenv("http_proxy"):
+            args["proxy"] = os.getenv("http_proxy")
+
+        self.bot = MyClient(intents=intents, **args)
+        
+    async def send_message(
+        self, target_type: str, target_id: str, message: platform_message.MessageChain
+    ):
+        pass
+
+    async def reply_message(
+        self,
+        message_source: platform_events.MessageEvent,
+        message: platform_message.MessageChain,
+        quote_origin: bool = False,
+    ):
+        msg_to_send, image_files = await self.message_converter.yiri2target(message)
+        assert isinstance(message_source.source_platform_object, discord.Message)
+
+        args = {
+            "content": msg_to_send,
+        }
+
+        if len(image_files) > 0:
+            args["files"] = image_files
+
+        if quote_origin:
+            args["reference"] = message_source.source_platform_object
+
+        if message.has(platform_message.At):
+            args["mention_author"] = True
+
+        await message_source.source_platform_object.channel.send(**args)
+
+    async def is_muted(self, group_id: int) -> bool:
+        return False
+
+    def register_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[[platform_events.Event, adapter.MessageSourceAdapter], None],
+    ):
+        self.listeners[event_type] = callback
+
+    def unregister_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[[platform_events.Event, adapter.MessageSourceAdapter], None],
+    ):
+        self.listeners.pop(event_type)
+
+    async def run_async(self):
+        async with self.bot:
+            await self.bot.start(self.config["token"], reconnect=True)
+
+    async def kill(self) -> bool:
+        await self.bot.close()
+        return True

pkg/platform/sources/lark.py

@@ -0,0 +1,404 @@
+from __future__ import annotations
+
+import lark_oapi
+
+import typing
+import asyncio
+import traceback
+import time
+import re
+import base64
+import uuid
+import json
+import datetime
+
+import aiohttp
+import lark_oapi.ws.exception
+from lark_oapi.api.im.v1 import *
+
+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 ...utils import image
+
+
+class LarkMessageConverter(adapter.MessageConverter):
+
+    @staticmethod
+    async def yiri2target(
+        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})
+            elif isinstance(msg, platform_message.At):
+                pending_paragraph.append(
+                    {"tag": "at", "user_id": msg.target, "style": []}
+                )
+            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)
+                elif msg.url:
+                    async with aiohttp.ClientSession() as session:
+                        async with session.get(msg.url) as response:
+                            image_bytes = await response.read()
+                elif msg.path:
+                    with open(msg.path, "rb") as f:
+                        image_bytes = f.read()
+
+                request: CreateImageRequest = (
+                    CreateImageRequest.builder()
+                    .request_body(
+                        CreateImageRequestBody.builder()
+                        .image_type("message")
+                        .image(image_bytes)
+                        .build()
+                    )
+                    .build()
+                )
+
+                response: CreateImageResponse = await api_client.im.v1.image.acreate(
+                    request
+                )
+
+                if not response.success():
+                    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)}"
+                    )
+
+                image_key = response.data.image_key
+
+                message_elements.append(pending_paragraph)
+                message_elements.append(
+                    [
+                        {
+                            "tag": "img",
+                            "image_key": image_key,
+                        }
+                    ]
+                )
+                pending_paragraph = []
+
+        if pending_paragraph:
+            message_elements.append(pending_paragraph)
+
+        return message_elements
+
+    @staticmethod
+    async def target2yiri(
+        message: lark_oapi.api.im.v1.model.event_message.EventMessage,
+        api_client: lark_oapi.Client,
+    ) -> platform_message.MessageChain:
+        message_content = json.loads(message.content)
+
+        lb_msg_list = []
+
+        msg_create_time = datetime.datetime.fromtimestamp(
+            int(message.create_time) / 1000
+        )
+
+        lb_msg_list.append(
+            platform_message.Source(id=message.message_id, time=msg_create_time)
+        )
+
+        if message.message_type == "text":
+            element_list = []
+
+            def text_element_recur(text_ele: dict) -> list[dict]:
+                if text_ele["text"] == "":
+                    return []
+
+                at_pattern = re.compile(r"@_user_[\d]+")
+                at_matches = at_pattern.findall(text_ele["text"])
+
+                name_mapping = {}
+                for mathc in at_matches:
+                    for mention in message.mentions:
+                        if mention.key == mathc:
+                            name_mapping[mathc] = mention.name
+                            break
+
+                if len(name_mapping.keys()) == 0:
+                    return [text_ele]
+
+                # 只处理第一个，剩下的递归处理
+                text_split = text_ele["text"].split(list(name_mapping.keys())[0])
+
+                new_list = []
+
+                left_text = text_split[0]
+                right_text = text_split[1]
+
+                new_list.extend(
+                    text_element_recur({"tag": "text", "text": left_text, "style": []})
+                )
+
+                new_list.append(
+                    {
+                        "tag": "at",
+                        "user_id": list(name_mapping.keys())[0],
+                        "user_name": name_mapping[list(name_mapping.keys())[0]],
+                        "style": [],
+                    }
+                )
+
+                new_list.extend(
+                    text_element_recur({"tag": "text", "text": right_text, "style": []})
+                )
+
+                return new_list
+
+            element_list = text_element_recur(
+                {"tag": "text", "text": message_content["text"], "style": []}
+            )
+
+            message_content = {"title": "", "content": element_list}
+
+        elif message.message_type == "post":
+            new_list = []
+
+            for ele in message_content["content"]:
+                if type(ele) is dict:
+                    new_list.append(ele)
+                elif type(ele) is list:
+                    new_list.extend(ele)
+
+            message_content["content"] = new_list
+        elif message.message_type == "image":
+            message_content["content"] = [
+                {"tag": "img", "image_key": message_content["image_key"], "style": []}
+            ]
+
+        for ele in message_content["content"]:
+            if ele["tag"] == "text":
+                lb_msg_list.append(platform_message.Plain(text=ele["text"]))
+            elif ele["tag"] == "at":
+                lb_msg_list.append(platform_message.At(target=ele["user_name"]))
+            elif ele["tag"] == "img":
+                image_key = ele["image_key"]
+
+                request: GetMessageResourceRequest = (
+                    GetMessageResourceRequest.builder()
+                    .message_id(message.message_id)
+                    .file_key(image_key)
+                    .type("image")
+                    .build()
+                )
+
+                response: GetMessageResourceResponse = (
+                    await api_client.im.v1.message_resource.aget(request)
+                )
+
+                if not response.success():
+                    raise Exception(
+                        f"client.im.v1.message_resource.get 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)}"
+                    )
+
+                image_bytes = response.file.read()
+                image_base64 = base64.b64encode(image_bytes).decode()
+
+                image_format = response.raw.headers["content-type"]
+
+                lb_msg_list.append(
+                    platform_message.Image(
+                        base64=f"data:{image_format};base64,{image_base64}"
+                    )
+                )
+
+        return platform_message.MessageChain(lb_msg_list)
+
+
+class LarkEventConverter(adapter.EventConverter):
+
+    @staticmethod
+    async def yiri2target(
+        event: platform_events.MessageEvent,
+    ) -> lark_oapi.im.v1.P2ImMessageReceiveV1:
+        pass
+
+    @staticmethod
+    async def target2yiri(
+        event: lark_oapi.im.v1.P2ImMessageReceiveV1, api_client: lark_oapi.Client
+    ) -> platform_events.Event:
+        message_chain = await LarkMessageConverter.target2yiri(
+            event.event.message, api_client
+        )
+
+        if event.event.message.chat_type == "p2p":
+            return platform_events.FriendMessage(
+                sender=platform_entities.Friend(
+                    id=event.event.sender.sender_id.open_id,
+                    nickname=event.event.sender.sender_id.union_id,
+                    remark="",
+                ),
+                message_chain=message_chain,
+                time=event.event.message.create_time,
+            )
+        elif event.event.message.chat_type == "group":
+            return platform_events.GroupMessage(
+                sender=platform_entities.GroupMember(
+                    id=event.event.sender.sender_id.open_id,
+                    member_name=event.event.sender.sender_id.union_id,
+                    permission=platform_entities.Permission.Member,
+                    group=platform_entities.Group(
+                        id=event.event.message.chat_id,
+                        name="",
+                        permission=platform_entities.Permission.Member,
+                    ),
+                    special_title="",
+                    join_timestamp=0,
+                    last_speak_timestamp=0,
+                    mute_time_remaining=0,
+                ),
+                message_chain=message_chain,
+                time=event.event.message.create_time,
+            )
+
+
+@adapter.adapter_class("lark")
+class LarkMessageSourceAdapter(adapter.MessageSourceAdapter):
+
+    bot: lark_oapi.ws.Client
+    api_client: lark_oapi.Client
+
+    bot_account_id: str  # 用于在流水线中识别at是否是本bot，直接以bot_name作为标识
+    lark_tenant_key: str  # 飞书企业key
+
+    message_converter: LarkMessageConverter = LarkMessageConverter()
+    event_converter: LarkEventConverter = LarkEventConverter()
+
+    listeners: typing.Dict[
+        typing.Type[platform_events.Event],
+        typing.Callable[[platform_events.Event, adapter.MessageSourceAdapter], None],
+    ] = {}
+
+    config: dict
+
+    ap: app.Application
+
+    def __init__(self, config: dict, ap: app.Application):
+        self.config = config
+        self.ap = ap
+
+        async def on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
+
+            lb_event = await self.event_converter.target2yiri(event, self.api_client)
+
+            await self.listeners[type(lb_event)](lb_event, self)
+
+        def sync_on_message(event: lark_oapi.im.v1.P2ImMessageReceiveV1):
+            asyncio.create_task(on_message(event))
+
+        event_handler = (
+            lark_oapi.EventDispatcherHandler.builder("", "")
+            .register_p2_im_message_receive_v1(sync_on_message)
+            .build()
+        )
+
+        self.bot_account_id = config["bot_name"]
+
+        self.bot = lark_oapi.ws.Client(
+            config["app_id"], config["app_secret"], event_handler=event_handler
+        )
+        self.api_client = (
+            lark_oapi.Client.builder()
+            .app_id(config["app_id"])
+            .app_secret(config["app_secret"])
+            .build()
+        )
+
+    async def send_message(
+        self, target_type: str, target_id: str, message: platform_message.MessageChain
+    ):
+        pass
+
+    async def reply_message(
+        self,
+        message_source: platform_events.MessageEvent,
+        message: platform_message.MessageChain,
+        quote_origin: bool = False,
+    ):
+
+        # 不再需要了，因为message_id已经被包含到message_chain中
+        # lark_event = await self.event_converter.yiri2target(message_source)
+        lark_message = await self.message_converter.yiri2target(
+            message, self.api_client
+        )
+
+        final_content = {
+            "zh_cn": {
+                "title": "",
+                "content": lark_message,
+            },
+        }
+
+        request: ReplyMessageRequest = (
+            ReplyMessageRequest.builder()
+            .message_id(message_source.message_chain.message_id)
+            .request_body(
+                ReplyMessageRequestBody.builder()
+                .content(json.dumps(final_content))
+                .msg_type("post")
+                .reply_in_thread(False)
+                .uuid(str(uuid.uuid4()))
+                .build()
+            )
+            .build()
+        )
+
+        response: ReplyMessageResponse = await self.api_client.im.v1.message.areply(
+            request
+        )
+
+        if not response.success():
+            raise Exception(
+                f"client.im.v1.message.reply 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)}"
+            )
+
+    async def is_muted(self, group_id: int) -> bool:
+        return False
+
+    def register_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[
+            [platform_events.Event, adapter.MessageSourceAdapter], None
+        ],
+    ):
+        self.listeners[event_type] = callback
+
+    def unregister_listener(
+        self,
+        event_type: typing.Type[platform_events.Event],
+        callback: typing.Callable[
+            [platform_events.Event, adapter.MessageSourceAdapter], None
+        ],
+    ):
+        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
+
+    async def kill(self) -> bool:
+        return False

pkg/platform/types/events.py

@@ -72,6 +72,11 @@ class MessageEvent(Event):
     message_chain: platform_message.MessageChain
     """消息内容。"""
 
+    source_platform_object: typing.Optional[typing.Any] = None
+    """原消息平台对象。
+    供消息平台适配器开发者使用，如果回复用户时需要使用原消息事件对象的信息，
+    那么可以将其存到这个字段以供之后取出使用。"""
+
 
 class FriendMessage(MessageEvent):
     """好友消息。

pkg/platform/types/message.py

@@ -460,7 +460,7 @@ class Source(MessageComponent):
     """源。包含消息的基本信息。"""
     type: str = "Source"
     """消息组件类型。"""
-    id: int
+    id: typing.Union[int, str]
     """消息的识别号，用于引用回复（Source 类型永远为 MessageChain 的第一个元素）。"""
     time: datetime
     """消息时间。"""
@@ -503,7 +503,7 @@ class At(MessageComponent):
     """At某人。"""
     type: str = "At"
     """消息组件类型。"""
-    target: int
+    target: typing.Union[int, str]
     """群员 QQ 号。"""
     display: typing.Optional[str] = None
     """At时显示的文字，发送消息时无效，自动使用群名片。"""

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
+from .requesters import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat, giteeaichatcmpl, xaichatcmpl, zhipuaichatcmpl, lmstudiochatcmpl, siliconflowchatcmpl
 
 FETCH_MODEL_LIST_URL = "https://api.qchatgpt.rockchin.top/api/v2/fetch/model_list"
 
@@ -109,4 +109,4 @@ class ModelManager:
                 self.model_list.append(model_info)
             
             except Exception as e:
-                self.ap.logger.error(f"初始化模型 {model['name']} 失败: {e} ,请检查配置文件")
+                self.ap.logger.error(f"初始化模型 {model['name']} 失败: {type(e)} {e} ,请检查配置文件")

pkg/provider/modelmgr/requesters/anthropicmsgs.py

@@ -30,7 +30,7 @@ class AnthropicMessages(requester.LLMAPIRequester):
             timeout=typing.cast(httpx.Timeout, self.ap.provider_cfg.data['requester']['anthropic-messages']['timeout']),
             limits=anthropic._constants.DEFAULT_CONNECTION_LIMITS,
             follow_redirects=True,
-            proxies=self.ap.proxy_mgr.get_forward_proxies()
+            trust_env=True,
         )
 
         self.client = anthropic.AsyncAnthropic(

pkg/provider/modelmgr/requesters/chatcmpl.py

@@ -39,7 +39,7 @@ class OpenAIChatCompletions(requester.LLMAPIRequester):
             base_url=self.requester_cfg['base-url'],
             timeout=self.requester_cfg['timeout'],
             http_client=httpx.AsyncClient(
-                proxies=self.ap.proxy_mgr.get_forward_proxies()
+                trust_env=True,
             )
         )
 

pkg/provider/modelmgr/requesters/lmstudiochatcmpl.py

@@ -0,0 +1,21 @@
+from __future__ import annotations
+
+import openai
+
+from . import chatcmpl
+from .. import requester
+from ....core import app
+
+
+@requester.requester_class("lmstudio-chat-completions")
+class LmStudioChatCompletions(chatcmpl.OpenAIChatCompletions):
+    """LMStudio 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']['lmstudio-chat-completions']

pkg/provider/modelmgr/requesters/siliconflowchatcmpl.py

@@ -0,0 +1,21 @@
+from __future__ import annotations
+
+import openai
+
+from . import chatcmpl
+from .. import requester
+from ....core import app
+
+
+@requester.requester_class("siliconflow-chat-completions")
+class SiliconFlowChatCompletions(chatcmpl.OpenAIChatCompletions):
+    """SiliconFlow 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']['siliconflow-chat-completions']

pkg/utils/constants.py

@@ -1,4 +1,4 @@
-semantic_version = "v3.4.3"
+semantic_version = "v3.4.5"
 
 debug_mode = False
 

requirements.txt

@@ -25,6 +25,8 @@ aioshutil
 argon2-cffi
 pyjwt
 pycryptodome
+lark-oapi
+discord.py
 
 # indirect
 taskgroup==0.0.0a4

templates/metadata/llm-models.json

@@ -116,6 +116,11 @@
             "requester": "deepseek-chat-completions",
             "token_mgr": "deepseek"
         },
+        {
+            "name": "deepseek-reasoner",
+            "requester": "deepseek-chat-completions",
+            "token_mgr": "deepseek"
+        },
         {
             "name": "grok-2-latest",
             "requester": "xai-chat-completions",

templates/platform.json

@@ -35,6 +35,19 @@
             "token": "",
             "EncodingAESKey": "",
             "contacts_secret": ""
+        },
+        {
+            "adapter": "lark",
+            "enable": false,
+            "app_id": "cli_abcdefgh",
+            "app_secret": "XXXXXXXXXX",
+            "bot_name": "LangBot"
+        },
+        {
+            "adapter": "discord",
+            "enable": true,
+            "client_id": "1234567890",
+            "token": "XXXXXXXXXX"
         }
     ],
     "track-function-calls": true,

templates/provider.json

@@ -22,6 +22,9 @@
         ],
         "zhipuai": [
             "xxxxxxx"
+        ],
+        "siliconflow": [
+            "xxxxxxx"
         ]
     },
     "requester": {
@@ -66,6 +69,16 @@
             "base-url": "https://open.bigmodel.cn/api/paas/v4",
             "args": {},
             "timeout": 120
+        },
+        "lmstudio-chat-completions": {
+            "base-url": "http://127.0.0.1:1234/v1",
+            "args": {},
+            "timeout": 120
+        },
+        "siliconflow-chat-completions": {
+            "base-url": "https://api.siliconflow.cn/v1",
+            "args": {},
+            "timeout": 120
         }
     },
     "model": "gpt-4o",

templates/schema/platform.json

@@ -121,6 +121,129 @@
                                 ]
                             }
                         }
+                    },
+                    {
+                        "title": "企业微信适配器",
+                        "description": "用于接入企业微信",
+                        "properties": {
+                            "adapter": {
+                                "type": "string",
+                                "const": "wecom"
+                            },
+                            "enable": {
+                                "type": "boolean",
+                                "default": false,
+                                "description": "是否启用此适配器",
+                                "layout": {
+                                    "comp": "switch",
+                                    "props": {
+                                        "color": "primary"
+                                    }
+                                }
+                            },
+                            "host": {
+                                "type": "string",
+                                "default": "0.0.0.0",
+                                "description": "监听的IP地址"
+                            },
+                            "port": {
+                                "type": "integer",
+                                "default": 2290,
+                                "description": "监听的端口"
+                            },
+                            "corpid": {
+                                "type": "string",
+                                "default": "",
+                                "description": "企业微信的corpid"
+                            },
+                            "secret": {
+                                "type": "string",
+                                "default": "",
+                                "description": "企业微信的secret"
+                            },
+                            "token": {
+                                "type": "string",
+                                "default": "",
+                                "description": "企业微信的token"
+                            },
+                            "EncodingAESKey": {
+                                "type": "string",
+                                "default": "",
+                                "description": "企业微信的EncodingAESKey"
+                            },
+                            "contacts_secret": {
+                                "type": "string",
+                                "default": "",
+                                "description": "企业微信的contacts_secret"
+                            }
+                        }
+                    },
+                    {
+                        "title": "飞书适配器",
+                        "description": "用于接入飞书",
+                        "properties": {
+                            "adapter": {
+                                "type": "string",
+                                "const": "lark"
+                            },
+                            "enable": {
+                                "type": "boolean",
+                                "default": false,
+                                "description": "是否启用此适配器",
+                                "layout": {
+                                    "comp": "switch",
+                                    "props": {
+                                        "color": "primary"
+                                    }
+                                }
+                            },
+                            "app_id": {
+                                "type": "string",
+                                "default": "",
+                                "description": "飞书的app_id"
+                            },
+                            "app_secret": {
+                                "type": "string",
+                                "default": "",
+                                "description": "飞书的app_secret"
+                            },
+                            "bot_name": {
+                                "type": "string",
+                                "default": "",
+                                "description": "飞书的bot_name"
+                            }
+                        }
+                    },
+                    {
+                        "title": "Discord 适配器",
+                        "description": "用于接入 Discord",
+                        "properties": {
+                            "adapter": {
+                                "type": "string",
+                                "const": "discord"
+                            },
+                            "enable": {
+                                "type": "boolean",
+                                "default": false,
+                                "description": "是否启用此适配器",
+                                "layout": {
+                                    "comp": "switch",
+                                    "props": {
+                                        "color": "primary"
+                                    }
+                                }
+                            },
+                            "client_id": {
+                                "type": "string",
+                                "default": "",
+                                "description": "Discord 的 client_id"
+                            },
+                            "token": {
+                                "type": "string",
+                                "default": "",
+                                "description": "Discord 的 token"
+                            }
+                        }
                     }
                 ]
             }

templates/schema/provider.json

@@ -74,6 +74,14 @@
                         "type": "string"
                     },
                     "default": []
+                },
+                "siliconflow": {
+                    "type": "array",
+                    "title": "SiliconFlow API 密钥",
+                    "items": {
+                        "type": "string"
+                    },
+                    "default": []
                 }
             }
         },
@@ -172,7 +180,8 @@
                             "title": "API URL"
                         },
                         "args": {
-                            "type": "object"
+                            "type": "object",
+                            "default": {}
                         },
                         "timeout": {
                             "type": "number",
@@ -191,7 +200,8 @@
                             "title": "API URL"
                         },
                         "args": {
-                            "type": "object"
+                            "type": "object",
+                            "default": {}
                         },
                         "timeout": {
                             "type": "number",
@@ -210,7 +220,8 @@
                             "title": "API URL"
                         },
                         "args": {
-                            "type": "object"
+                            "type": "object",
+                            "default": {}
                         },
                         "timeout": {
                             "type": "number",
@@ -229,10 +240,52 @@
                             "title": "API URL"
                         },
                         "args": {
-                            "type": "object"
+                            "type": "object",
+                            "default": {}
                         },
                         "timeout": {
-                            "type": "number"
+                            "type": "number",
+                            "default": 120
+                        }
+                    }
+                },
+                "lmstudio-chat-completions": {
+                    "type": "object",
+                    "title": "LMStudio 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
+                        }
+                    }
+                },
+                "siliconflow-chat-completions": {
+                    "type": "object",
+                    "title": "SiliconFlow 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
                         }
                     }
                 }
@@ -292,7 +345,7 @@
                     "type": "string",
                     "title": "应用类型",
                     "description": "支持 chat 和 workflow，chat：聊天助手（含高级编排）和 Agent；workflow：工作流；请填写下方对应的应用类型 API 参数",
-                    "enum": ["chat", "workflow"],
+                    "enum": ["chat", "workflow", "agent"],
                     "default": "chat"
                 },
                 "chat": {