解决类型问题

📝 新增PR预览

.github/workflows/docs-build.yml

@@ -1,9 +1,6 @@
 name: Deploy VitePress site to Liteyuki PaaS
 
-on:
-  push:
-    branches: [main]
-  workflow_dispatch:
+on: ["push", "pull_request_target"]
 
 permissions:
   contents: write
@@ -28,7 +25,7 @@ jobs:
       - name: Setup Python
         uses: actions/setup-python@v2
         with:
-          python-version: '3.11'
+          python-version: "3.11"
 
       - name: Setup API markdown
         run: |-
@@ -52,11 +49,10 @@ jobs:
         run: |-
           pnpm run docs:build
 
-
       - name: "发布"
         run: |
           npx -p "@getmeli/cli" meli upload docs/.vitepress/dist \
-            --url "https://meli.liteyuki.icu" \
+            --url "https://pages.liteyuki.icu" \
             --site "$MELI_SITE" \
             --token "$MELI_TOKEN" \
             --release "$GITHUB_SHA"

CNAME

@@ -1 +1 @@
-marsho.liteyuki.icu
+marshoai-docs.pages.liteyuki.icu

README.md

@@ -1,6 +1,6 @@
 <!--suppress LongLine -->
 <div align="center">
-  <a href="https://marsho.liteyuki.icu"><img src="https://marsho.liteyuki.icu/marsho-full.svg" width="800" height="430" alt="MarshoLogo"></a>
+  <a href="https://marshoai-docs.pages.liteyuki.icu"><img src="https://marshoai-docs.pages.liteyuki.icu/marsho-full.svg" width="800" height="430" alt="MarshoLogo"></a>
   <br>
 </div>
 
@@ -48,7 +48,7 @@ _谁不喜欢回复消息快又可爱的猫娘呢？_
 
 ## 😼 使用
 
-请查看[使用文档](https://marsho.liteyuki.icu/start/use)
+请查看[使用文档](https://marshoai-docs.pages.liteyuki.icu/start/use.html)
 
 ## ❤ 鸣谢&版权说明
 

README_EN.md

@@ -1,6 +1,6 @@
 <!--suppress LongLine -->
 <div align="center">
-  <a href="https://marsho.liteyuki.icu"><img src="https://marsho.liteyuki.icu/marsho-full.svg" width="800" height="430" alt="MarshoLogo"></a>
+  <a href="https://marshoai-docs.pages.liteyuki.icu"><img src="https://marshoai-docs.pages.liteyuki.icu/marsho-full.svg" width="800" height="430" alt="MarshoLogo"></a>
   <br>
 </div>
 
@@ -48,7 +48,7 @@ Plugin internally installed the catgirl character of Marsho, is able to have a c
 - 🐾 Play! I like play with friends!
 
 ## 😼 Usage
-Please read [Documentation](https://marsho.liteyuki.icu/start/install)
+Please read [Documentation](https://marshoai-docs.pages.liteyuki.icu/start/use.html)
 
 ## ❤ Thanks&Copyright
 This project uses the following code from other projects:  

docs/.vitepress/config/index.ts

@@ -8,12 +8,13 @@ import { generateSidebar } from 'vitepress-sidebar'
 // https://vitepress.dev/reference/site-config
 export default defineConfig({
     head: [
+        ["script", { src: "https://cdn.liteyuki.icu/js/liteyuki_footer.js" }],
         ['link', { rel: 'icon', type: 'image/x-icon', href: '/favicon.ico' }],
     ],
     rewrites: {
         [`${defaultLang}/:rest*`]: ":rest*",
     },
-    cleanUrls: true,
+    cleanUrls: false,
     themeConfig: {
         // https://vitepress.dev/reference/default-theme-config
         logo: {

docs/en/start/install.md

@@ -65,7 +65,7 @@ When nonebot linked to OneBot v11 adapter, can recieve double click and response
 MarshoTools is a feature added in `v0.5.0`, support loading external function library to provide Function Call for Marsho. 
 
 ## 🧩 Marsho Plugin
-Marsho Plugin is a feature added in `v1.0.0`, replacing the old MarshoTools feature. [Documentation](https://marsho.liteyuki.icu/dev/extension)
+Marsho Plugin is a feature added in `v1.0.0`, replacing the old MarshoTools feature. [Documentation](https://marshoai-docs.pages.liteyuki.icu/dev/extension)
 
 ## 👍 Praise list
 
@@ -147,4 +147,5 @@ Add options in the `.env` file from the diagram below in nonebot2 project.
 | MARSHOAI_ENABLE_RICHTEXT_PARSE    | `bool` | `true` | Turn on auto parse rich text feature(including image, LaTeX equation)  |
 | MARSHOAI_SINGLE_LATEX_PARSE       | `bool` | `false`| Render single-line equation or not    |
 | MARSHOAI_FIX_TOOLCALLS           | `bool`  | `true` | Fix tool calls or not |
-| MARSHOAI_SEND_THINKING           | `bool`  | `true` | Send thinking chain or not |
+| MARSHOAI_SEND_THINKING           | `bool`  | `true` | Send thinking chain or not |
+| MARSHOAI_STREAM                  | `bool`  | `false`| 是否通过流式方式请求 API **开启此项后暂无法使用函数调用，无法在 Bot 用户侧聊天界面呈现出流式效果** |

docs/zh/start/install.md

@@ -68,7 +68,7 @@ GitHub Models API 的限制较多，不建议使用，建议通过修改`MARSHOA
 
 ## 🧩 小棉插件
 
-小棉插件是`v1.0.0`的新增功能，替代旧的小棉工具功能。[使用文档](https://marsho.liteyuki.icu/dev/extension)
+小棉插件是`v1.0.0`的新增功能，替代旧的小棉工具功能。[使用文档](https://marshoai-docs.pages.liteyuki.icu/dev/extension)
 
 ## 👍 夸赞名单
 
@@ -149,6 +149,8 @@ GitHub Models API 的限制较多，不建议使用，建议通过修改`MARSHOA
 | MARSHOAI_SINGLE_LATEX_PARSE    | `bool` | `false` |   单行公式是否渲染（当消息富文本解析启用时可用）（如果单行也渲……只能说不好看）           |
 | MARSHOAI_FIX_TOOLCALLS           | `bool`  | `true` | 是否修复工具调用（部分模型须关闭，使用 vLLM 部署的模型时须关闭） |
 | MARSHOAI_SEND_THINKING           | `bool`  | `true` | 是否发送思维链（部分模型不支持） |
+| MARSHOAI_STREAM                  | `bool`  | `false`| 是否通过流式方式请求 API **开启此项后暂无法使用函数调用，无法在 Bot 用户侧聊天界面呈现出流式效果** |
+
 
 #### 开发及调试选项
 

nonebot_plugin_marshoai/config.py

@@ -32,6 +32,7 @@ class ConfigModel(BaseModel):
     marshoai_enable_sysasuser_prompt: bool = False
     marshoai_additional_prompt: str = ""
     marshoai_poke_suffix: str = "揉了揉你的猫耳"
+    marshoai_stream: bool = False
     marshoai_enable_richtext_parse: bool = True
     """
     是否启用自动消息富文本解析 即若包含图片链接则发送图片、若包含LaTeX公式则发送公式图。

nonebot_plugin_marshoai/constants.py

@@ -37,7 +37,7 @@ OPENAI_NEW_MODELS: list = [
 INTRODUCTION: str = f"""MarshoAI-NoneBot by LiteyukiStudio
 你好喵~我是一只可爱的猫娘AI，名叫小棉~🐾！
 我的主页在这里哦~↓↓↓
-https://marsho.liteyuki.icu
+https://marshoai-docs.pages.liteyuki.icu
 
 ※ 使用 「{config.marshoai_default_name}.status」命令获取状态信息。
 ※ 使用「{config.marshoai_default_name}.help」命令获取使用说明。"""

nonebot_plugin_marshoai/handler.py

@@ -17,9 +17,9 @@ from nonebot.matcher import (
     current_event,
     current_matcher,
 )
-from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg
-from openai import AsyncOpenAI
-from openai.types.chat import ChatCompletion, ChatCompletionMessage
+from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg, get_message_id, get_target
+from openai import AsyncOpenAI, AsyncStream
+from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
 
 from .config import config
 from .constants import SUPPORT_IMAGE_MODELS
@@ -35,6 +35,7 @@ from .util import (
     make_chat_openai,
     parse_richtext,
 )
+from .utils.request import process_chat_stream
 
 
 class MarshoHandler:
@@ -49,8 +50,8 @@ class MarshoHandler:
         self.event: Event = current_event.get()
         # self.state: T_State = current_handler.get().state
         self.matcher: Matcher = current_matcher.get()
-        self.message_id: str = UniMessage.get_message_id(self.event)
-        self.target = UniMessage.get_target(self.event)
+        self.message_id: str = get_message_id(self.event)
+        self.target = get_target(self.event)
 
     async def process_user_input(
         self, user_input: UniMsg, model_name: str
@@ -94,14 +95,15 @@ class MarshoHandler:
         self,
         user_message: Union[str, list],
         model_name: str,
-        tools_list: list,
+        tools_list: list | None,
         tool_message: Optional[list] = None,
-    ) -> ChatCompletion:
+        stream: bool = False,
+    ) -> Union[ChatCompletion, AsyncStream[ChatCompletionChunk]]:
         """
         处理单条聊天
         """
 
-        context_msg = get_prompt(model_name) + (
+        context_msg = await get_prompt(model_name) + (
             self.context.build(self.target.id, self.target.private)
         )
         response = await make_chat_openai(
@@ -109,20 +111,24 @@ class MarshoHandler:
             msg=context_msg + [UserMessage(content=user_message).as_dict()] + (tool_message if tool_message else []),  # type: ignore
             model_name=model_name,
             tools=tools_list if tools_list else None,
+            stream=stream,
         )
         return response
 
     async def handle_function_call(
         self,
-        completion: ChatCompletion,
+        completion: Union[ChatCompletion],
         user_message: Union[str, list],
         model_name: str,
-        tools_list: list,
+        tools_list: list | None = None,
     ):
         # function call
         # 需要获取额外信息，调用函数工具
         tool_msg = []
-        choice = completion.choices[0]
+        if isinstance(completion, ChatCompletion):
+            choice = completion.choices[0]
+        else:
+            raise ValueError("Unexpected completion type")
         # await UniMessage(str(response)).send()
         tool_calls = choice.message.tool_calls
         # try:
@@ -182,7 +188,7 @@ class MarshoHandler:
         self,
         user_message: Union[str, list],
         model_name: str,
-        tools_list: list,
+        tools_list: list | None = None,
         stream: bool = False,
         tool_message: Optional[list] = None,
     ) -> Optional[Tuple[UserMessage, ChatCompletionMessage]]:
@@ -191,14 +197,20 @@ class MarshoHandler:
         """
         global target_list
         if stream:
-            raise NotImplementedError
-        response = await self.handle_single_chat(
-            user_message=user_message,
-            model_name=model_name,
-            tools_list=tools_list,
-            tool_message=tool_message,
-        )
-        choice = response.choices[0]
+            response = await self.handle_stream_request(
+                user_message=user_message,
+                model_name=model_name,
+                tools_list=tools_list,
+                tools_message=tool_message,
+            )
+        else:
+            response = await self.handle_single_chat(  # type: ignore
+                user_message=user_message,
+                model_name=model_name,
+                tools_list=tools_list,
+                tool_message=tool_message,
+            )
+        choice = response.choices[0]  # type: ignore
         # Sprint(choice)
         # 当tool_calls非空时，将finish_reason设置为TOOL_CALLS
         if choice.message.tool_calls is not None and config.marshoai_fix_toolcalls:
@@ -240,3 +252,26 @@ class MarshoHandler:
         else:
             await UniMessage(f"意外的完成原因:{choice.finish_reason}").send()
             return None
+
+    async def handle_stream_request(
+        self,
+        user_message: Union[str, list],
+        model_name: str,
+        tools_list: list | None = None,
+        tools_message: Optional[list] = None,
+    ) -> ChatCompletion:
+        """
+        处理流式请求
+        """
+        response = await self.handle_single_chat(
+            user_message=user_message,
+            model_name=model_name,
+            tools_list=None,  # TODO:让流式调用支持工具调用
+            tool_message=tools_message,
+            stream=True,
+        )
+
+        if isinstance(response, AsyncStream):
+            return await process_chat_stream(response)
+        else:
+            raise TypeError("Unexpected response type for stream request")

nonebot_plugin_marshoai/marsho.py

@@ -15,7 +15,14 @@ from nonebot.params import CommandArg
 from nonebot.permission import SUPERUSER
 from nonebot.rule import to_me
 from nonebot.typing import T_State
-from nonebot_plugin_alconna import MsgTarget, UniMessage, UniMsg, on_alconna
+from nonebot_plugin_alconna import (
+    Emoji,
+    MsgTarget,
+    UniMessage,
+    UniMsg,
+    message_reaction,
+    on_alconna,
+)
 
 from .config import config
 from .constants import INTRODUCTION, SUPPORT_IMAGE_MODELS
@@ -25,6 +32,7 @@ from .instances import client, context, model_name, target_list, tools
 from .metadata import metadata
 from .plugin.func_call.caller import get_function_calls
 from .util import *
+from .utils.request import process_chat_stream
 
 
 async def at_enable():
@@ -226,6 +234,7 @@ async def marsho(
     if not text:
         # 发送说明
         # await UniMessage(metadata.usage + "\n当前使用的模型：" + model_name).send()
+        await message_reaction(Emoji("38"))
         await marsho_cmd.finish(INTRODUCTION)
         backup_context = await get_backup_context(target.id, target.private)
         if backup_context:
@@ -256,8 +265,11 @@ async def marsho(
             map(lambda v: v.data(), get_function_calls().values())
         )
         logger.info(f"正在获取回答，模型：{model_name}")
+        await message_reaction(Emoji("66"))
         # logger.info(f"上下文：{context_msg}")
-        response = await handler.handle_common_chat(usermsg, model_name, tools_lists)
+        response = await handler.handle_common_chat(
+            usermsg, model_name, tools_lists, config.marshoai_stream
+        )
         # await UniMessage(str(response)).send()
         if response is not None:
             context_user, context_assistant = response
@@ -280,20 +292,24 @@ with contextlib.suppress(ImportError):  # 优化先不做（）
     async def poke(event: Event):
 
         user_nickname = await get_nickname_by_user_id(event.get_user_id())
+        usermsg = await get_prompt(model_name) + [
+            UserMessage(content=f"*{user_nickname}{config.marshoai_poke_suffix}"),
+        ]
         try:
             if config.marshoai_poke_suffix != "":
                 logger.info(f"收到戳一戳，用户昵称：{user_nickname}")
-                response = await make_chat_openai(
+
+                pre_response = await make_chat_openai(
                     client=client,
                     model_name=model_name,
-                    msg=get_prompt(model_name)
-                    + [
-                        UserMessage(
-                            content=f"*{user_nickname}{config.marshoai_poke_suffix}"
-                        ),
-                    ],
+                    msg=usermsg,
+                    stream=config.marshoai_stream,
                 )
-                choice = response.choices[0]
+                if isinstance(pre_response, AsyncStream):
+                    response = await process_chat_stream(pre_response)
+                else:
+                    response = pre_response
+                choice = response.choices[0]  # type: ignore
                 if choice.finish_reason == CompletionsFinishReason.STOPPED:
                     content = extract_content_and_think(choice.message)[0]
                     await UniMessage(" " + str(content)).send(at_sender=True)

nonebot_plugin_marshoai/metadata.py

@@ -5,7 +5,7 @@ from .constants import USAGE
 
 metadata = PluginMetadata(
     name="Marsho AI 插件",
-    description="接入 Azure API 或其他 API 的 AI 聊天插件，支持图片处理，外部函数调用，兼容包括 DeepSeek-R1 在内的多个模型",
+    description="接入 Azure API 或其他 API 的 AI 聊天插件，支持图片处理，外部函数调用，兼容包括 DeepSeek-R1， QwQ-32B 在内的多个模型",
     usage=USAGE,
     type="application",
     config=ConfigModel,

nonebot_plugin_marshoai/util.py

@@ -2,8 +2,9 @@ import base64
 import json
 import mimetypes
 import re
+import ssl
 import uuid
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List, Optional, Union
 
 import aiofiles  # type: ignore
 import httpx
@@ -15,9 +16,9 @@ from nonebot.log import logger
 from nonebot_plugin_alconna import Image as ImageMsg
 from nonebot_plugin_alconna import Text as TextMsg
 from nonebot_plugin_alconna import UniMessage
-from openai import AsyncOpenAI, NotGiven
-from openai.types.chat import ChatCompletion, ChatCompletionMessage
-from zhDateTime import DateTime
+from openai import AsyncOpenAI, AsyncStream, NotGiven
+from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
+from zhDateTime import DateTime  # type: ignore
 
 from ._types import DeveloperMessage
 from .cache.decos import *
@@ -58,6 +59,8 @@ _praises_init_data = {
 """
 初始夸赞名单之数据
 """
+_ssl_context = ssl.create_default_context()
+_ssl_context.set_ciphers("DEFAULT")
 
 
 async def get_image_raw_and_type(
@@ -74,7 +77,7 @@ async def get_image_raw_and_type(
         tuple[bytes, str]: 图片二进制数据, 图片MIME格式
     """
 
-    async with httpx.AsyncClient() as client:
+    async with httpx.AsyncClient(verify=_ssl_context) as client:
         response = await client.get(url, headers=_browser_headers, timeout=timeout)
         if response.status_code == 200:
             # 获取图片数据
@@ -98,9 +101,7 @@ async def get_image_b64(url: str, timeout: int = 10) -> Optional[str]:
     return: 图片base64编码
     """
 
-    if data_type := await get_image_raw_and_type(
-        url.replace("https://", "http://"), timeout
-    ):
+    if data_type := await get_image_raw_and_type(url, timeout):
         # image_format = content_type.split("/")[1] if content_type else "jpeg"
         base64_image = base64.b64encode(data_type[0]).decode("utf-8")
         data_url = "data:{};base64,{}".format(data_type[1], base64_image)
@@ -109,35 +110,13 @@ async def get_image_b64(url: str, timeout: int = 10) -> Optional[str]:
         return None
 
 
-async def make_chat(
-    client: ChatCompletionsClient,
-    msg: list,
-    model_name: str,
-    tools: Optional[list] = None,
-):
-    """
-    调用ai获取回复
-
-    参数:
-        client: 用于与AI模型进行通信
-        msg: 消息内容
-        model_name: 指定AI模型名
-        tools: 工具列表
-    """
-    return await client.complete(
-        messages=msg,
-        model=model_name,
-        tools=tools,
-        **config.marshoai_model_args,
-    )
-
-
 async def make_chat_openai(
     client: AsyncOpenAI,
     msg: list,
     model_name: str,
     tools: Optional[list] = None,
-) -> ChatCompletion:
+    stream: bool = False,
+) -> Union[ChatCompletion, AsyncStream[ChatCompletionChunk]]:
     """
     使用 Openai SDK 调用ai获取回复
 
@@ -152,20 +131,21 @@ async def make_chat_openai(
         model=model_name,
         tools=tools or NOT_GIVEN,
         timeout=config.marshoai_timeout,
+        stream=stream,
         **config.marshoai_model_args,
     )
 
 
 @from_cache("praises")
-def get_praises():
+async def get_praises():
     praises_file = store.get_plugin_data_file(
         "praises.json"
     )  # 夸赞名单文件使用localstore存储
     if not praises_file.exists():
-        with open(praises_file, "w", encoding="utf-8") as f:
-            json.dump(_praises_init_data, f, ensure_ascii=False, indent=4)
-    with open(praises_file, "r", encoding="utf-8") as f:
-        data = json.load(f)
+        async with aiofiles.open(praises_file, "w", encoding="utf-8") as f:
+            await f.write(json.dumps(_praises_init_data, ensure_ascii=False, indent=4))
+    async with aiofiles.open(praises_file, "r", encoding="utf-8") as f:
+        data = json.loads(await f.read())
     praises_json = data
     return praises_json
 
@@ -181,8 +161,8 @@ async def refresh_praises_json():
     return data
 
 
-def build_praises() -> str:
-    praises = get_praises()
+async def build_praises() -> str:
+    praises = await get_praises()
     result = ["你喜欢以下几个人物，他们有各自的优点："]
     for item in praises["like"]:
         result.append(f"名字：{item['name']}，优点：{item['advantages']}")
@@ -234,8 +214,8 @@ async def set_nickname(user_id: str, name: str):
     data[user_id] = name
     if name == "" and user_id in data:
         del data[user_id]
-    with open(filename, "w", encoding="utf-8") as f:
-        json.dump(data, f, ensure_ascii=False, indent=4)
+    async with aiofiles.open(filename, "w", encoding="utf-8") as f:
+        await f.write(json.dumps(data, ensure_ascii=False, indent=4))
     return data
 
 
@@ -258,11 +238,11 @@ async def refresh_nickname_json():
         logger.error("刷新 nickname_json 表错误：无法载入 nickname.json 文件")
 
 
-def get_prompt(model: str) -> List[Dict[str, Any]]:
+async def get_prompt(model: str) -> List[Dict[str, Any]]:
     """获取系统提示词"""
     prompts = config.marshoai_additional_prompt
     if config.marshoai_enable_praises:
-        praises_prompt = build_praises()
+        praises_prompt = await build_praises()
         prompts += praises_prompt
 
     if config.marshoai_enable_time_prompt:

nonebot_plugin_marshoai/utils/request.py

@@ -0,0 +1,71 @@
+from nonebot.log import logger
+from openai import AsyncStream
+from openai.types.chat import ChatCompletion, ChatCompletionChunk, ChatCompletionMessage
+from openai.types.chat.chat_completion import Choice
+
+
+async def process_chat_stream(
+    stream: AsyncStream[ChatCompletionChunk],
+) -> ChatCompletion:
+    reasoning_contents = ""
+    answer_contents = ""
+    last_chunk = None
+    is_first_token_appeared = False
+    is_answering = False
+    async for chunk in stream:
+        last_chunk = chunk
+        # print(chunk)
+        if not is_first_token_appeared:
+            logger.debug(f"{chunk.id}: 第一个 token 已出现")
+            is_first_token_appeared = True
+        if not chunk.choices:
+            logger.info("Usage:", chunk.usage)
+        else:
+            delta = chunk.choices[0].delta
+            if (
+                hasattr(delta, "reasoning_content")
+                and delta.reasoning_content is not None
+            ):
+                reasoning_contents += delta.reasoning_content
+            else:
+                if not is_answering:
+                    logger.debug(
+                        f"{chunk.id}: 思维链已输出完毕或无 reasoning_content 字段输出"
+                    )
+                    is_answering = True
+                if delta.content is not None:
+                    answer_contents += delta.content
+    # print(last_chunk)
+    # 创建新的 ChatCompletion 对象
+    if last_chunk and last_chunk.choices:
+        message = ChatCompletionMessage(
+            content=answer_contents,
+            role="assistant",
+            tool_calls=last_chunk.choices[0].delta.tool_calls,  # type: ignore
+        )
+        if reasoning_contents != "":
+            setattr(message, "reasoning_content", reasoning_contents)
+        choice = Choice(
+            finish_reason=last_chunk.choices[0].finish_reason,  # type: ignore
+            index=last_chunk.choices[0].index,
+            message=message,
+        )
+        return ChatCompletion(
+            id=last_chunk.id,
+            choices=[choice],
+            created=last_chunk.created,
+            model=last_chunk.model,
+            system_fingerprint=last_chunk.system_fingerprint,
+            object="chat.completion",
+            usage=last_chunk.usage,
+        )
+    else:
+        return ChatCompletion(
+            id="",
+            choices=[],
+            created=0,
+            model="",
+            system_fingerprint="",
+            object="chat.completion",
+            usage=None,
+        )

pdm.lock

@@ -5,7 +5,7 @@
 groups = ["default", "dev", "test"]
 strategy = ["inherit_metadata"]
 lock_version = "4.5.0"
-content_hash = "sha256:d7ab3d9ca825de512d4f87ec846f7fddcf3d5796a7c9562e60c8c7d39c058817"
+content_hash = "sha256:9dd3edfe69c332deac360af2685358e82c5dac0870900668534fc6f1d34040f8"
 
 [[metadata.targets]]
 requires_python = "~=3.10"
@@ -1485,7 +1485,7 @@ files = [
 
 [[package]]
 name = "nonebot-plugin-alconna"
-version = "0.54.1"
+version = "0.57.0"
 requires_python = ">=3.9"
 summary = "Alconna Adapter for Nonebot"
 groups = ["default"]
@@ -1499,8 +1499,8 @@ dependencies = [
     "tarina<0.7,>=0.6.8",
 ]
 files = [
-    {file = "nonebot_plugin_alconna-0.54.1-py3-none-any.whl", hash = "sha256:4edb4b081cd64ce37717c7a92d31aadd2cf287a5a0adc2ac86ed82d9bcad5048"},
-    {file = "nonebot_plugin_alconna-0.54.1.tar.gz", hash = "sha256:66fae03120b8eff25bb0027d65f149e399aa6f73c7585ebdd388d1904cecdeee"},
+    {file = "nonebot_plugin_alconna-0.57.0-py3-none-any.whl", hash = "sha256:6c4bcce1a9aa176244b4c011b19b1cea00269c4c6794cd4e90d8dd7990ec3ec9"},
+    {file = "nonebot_plugin_alconna-0.57.0.tar.gz", hash = "sha256:7a9a4bf373f3f6836611dbde1a0917b84441a534dd6f2b20dae3ba6fff142858"},
 ]
 
 [[package]]

pyproject.toml

@@ -10,7 +10,7 @@ authors = [
 ]
 dependencies = [
     "nonebot2>=2.4.0",
-    "nonebot-plugin-alconna>=0.48.0",
+    "nonebot-plugin-alconna>=0.57.0",
     "nonebot-plugin-localstore>=0.7.1",
     "zhDatetime>=2.0.0",
     "aiohttp>=3.9",
@@ -34,7 +34,7 @@ dependencies = [
 license = { text = "MIT, Mulan PSL v2" }
 
 [project.urls]
-Homepage = "https://marsho.liteyuki.icu/"
+Homepage = "https://marshoai-docs.pages.liteyuki.icu/"
 
 
 [tool.nonebot]