diff --git a/AgentVerseIO/BaseIO.py b/AgentVerseIO/BaseIO.py
new file mode 100644
index 000000000..facc2fe3e
--- /dev/null
+++ b/AgentVerseIO/BaseIO.py
@@ -0,0 +1,32 @@
+from AgentVerseIO.input.CommandLineInput import CommandLineInput
+from AgentVerseIO.input.base import BaseInput
+from AgentVerseIO.output.CommandLineOutput import CommandLineOutput
+from AgentVerseIO.output.base import BaseOutput
+
+
+class AgentVerseIO:
+    def __init__(self, input: BaseInput, output: BaseOutput) -> None:
+        if input is None:
+            self.Input = CommandLineInput()
+        else:
+            if not isinstance(input, BaseInput):
+                raise TypeError("input must be a BaseInput instance")
+
+        self.Input = input
+
+        if output is None:
+            self.Output = CommandLineOutput()
+        else:
+            if not isinstance(output, BaseOutput):
+                raise TypeError("output must be a BaseOutput instance")
+
+        self.Output = output
+
+    def set_logger(self, logger):
+        self.logger = logger
+        self.Input.set_logger(logger)
+        self.Output.set_logger(logger)
+
+    def close(self):
+        self.Input.close()
+        self.Output.close()
diff --git a/AgentVerseIO/exception.py b/AgentVerseIO/exception.py
new file mode 100644
index 000000000..fd25d7f97
--- /dev/null
+++ b/AgentVerseIO/exception.py
@@ -0,0 +1,124 @@
+class AgentVerseIOError(Exception):
+    """Base class for exceptions in this module."""
+
+    pass
+
+
+class AgentVerseIOInterruptError(AgentVerseIOError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO Interrupt!"):
+        self.message = message
+        super().__init__(self.message)
+
+
+class AgentVerseIOTimeoutError(AgentVerseIOError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO Timeout!"):
+        self.message = message
+        super().__init__(self.message)
+
+
+class AgentVerseIOCloseError(AgentVerseIOError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO Close!"):
+        self.message = message
+        super().__init__(self.message)
+
+
+class AgentVerseIOWebSocketError(AgentVerseIOError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO WebSocket Error!"):
+        self.message = message
+        super().__init__(self.message)
+
+
+class AgentVerseIOWebSocketTimeoutError(AgentVerseIOWebSocketError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO WebSocket Timeout!"):
+        self.message = message
+        super().__init__(self.message)
+
+
+class AgentVerseIOWebSocketDisconnectError(AgentVerseIOWebSocketError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO WebSocket Disconnect!"):
+        self.message = message
+        super().__init__(self.message)
+
+
+class AgentVerseIOWebSocketConnectError(AgentVerseIOWebSocketError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO WebSocket Connect Error!"):
+        self.message = message
+        super().__init__(self.message)
+
+
+class AgentVerseIOWebSocketCloseError(AgentVerseIOWebSocketError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO WebSocket Close!"):
+        self.message = message
+        super().__init__(self.message)
+
+
+class AgentVerseIOWebSocketSendError(AgentVerseIOWebSocketError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO WebSocket Send Error!"):
+        self.message = message
+        super().__init__(self.message)
+
+
+class AgentVerseIOWebSocketReceiveError(AgentVerseIOWebSocketError):
+    """Exception raised for errors in the input.
+
+    Attributes:
+        message -- explanation of the error
+    """
+
+    def __init__(self, message="AgentVerse IO WebSocket Receive Error!"):
+        self.message = message
+        super().__init__(self.message)
diff --git a/AgentVerseIO/input/CommandLineInput.py b/AgentVerseIO/input/CommandLineInput.py
new file mode 100644
index 000000000..ad5d9fae1
--- /dev/null
+++ b/AgentVerseIO/input/CommandLineInput.py
@@ -0,0 +1,95 @@
+import asyncio
+import functools
+import time
+from colorama import Fore
+from AgentVerseIO.exception import AgentVerseIOCloseError, AgentVerseIOTimeoutError
+from AgentVerseIO.input.base import BaseInput
+from inputimeout import inputimeout, TimeoutOccurred
+import math
+
+
+def timer(func):
+    @functools.wraps(func)
+    def wrapper(*args, **kwargs):
+        try:
+            start_time = time.time()
+            result = func(*args, **kwargs)
+            end_time = time.time()
+        except:
+            pass
+
+    return wrapper
+
+
+class CommandLineInput(BaseInput):
+    def __init__(self, do_interrupt: bool = False, max_wait_seconds: int = 600):
+        super().__init__(do_interrupt, max_wait_seconds)
+
+    async def run(self, input_data):
+        if self.do_interrupt:
+            data = await self.interrupt(input_data)
+        else:
+            data = input_data
+        return data
+
+    async def get_each_input(self, key, value, res, timeout):
+        self.logger.typewriter_log(
+            f"Now, ASK For {key}, Origin Input: {value}", Fore.RED, f""
+        )
+        self.logger.typewriter_log(
+            f"Now, you can modify the current field by entering some information, and then press 'Enter' to continue, if you want to keep the original input, please enter '-1' and then press 'Enter':",
+            Fore.GREEN,
+        )
+        temp = inputimeout(
+            prompt=f"You have {timeout} seconds to input:\n", timeout=timeout
+        )
+        if temp == "-1":
+            return value
+        else:
+            return temp
+
+    async def get_input(self, origin_data):
+        self.logger.typewriter_log(
+            "Next, you can start modifying the original input by typing 'Y/y/yes' or skip this step by typing 'N/n/no' and then press 'Enter' to continue the loop:",
+            Fore.RED,
+        )
+        update = inputimeout(
+            prompt=f"You have to make a decision within 60 seconds:\n", timeout=60
+        )
+        res = {"args": {}}
+        if update in ["y", "Y", "yes"]:
+            execute_time = self.max_wait_seconds
+            if isinstance(origin_data, dict):
+                args = origin_data.get("args", "")
+                self.logger.typewriter_log(
+                    f"Next, you will have a total of {self.max_wait_seconds} seconds to modify each option:",
+                    Fore.RED,
+                )
+                for key, value in args.items():
+                    if key == "done":
+                        res[key] = False
+                        continue
+                    start_time = time.time()
+                    res["args"][key] = await self.get_each_input(
+                        key, value, res, execute_time
+                    )
+                    end_time = time.time()
+                    execute_time = math.floor(execute_time - (end_time - start_time))
+            self.logger.info(f"modify the input, receive the data: {res}")
+        else:
+            res = origin_data
+            self.logger.info("skip this step")
+        self.logger.info("continue the loop")
+        res["done"] = True
+        return res
+
+    async def interrupt(self, input_data):
+        try:
+            data = await self.get_input(input_data)
+            return data
+        except TimeoutOccurred:
+            self.logger.error(f"Waiting timemout, close connection!")
+            raise AgentVerseIOTimeoutError("timeout!")
+
+    def close(self):
+        raise AgentVerseIOCloseError("close connection!")
diff --git a/AgentVerseIO/input/HttpInput.py b/AgentVerseIO/input/HttpInput.py
new file mode 100644
index 000000000..c9f2c12e4
--- /dev/null
+++ b/AgentVerseIO/input/HttpInput.py
@@ -0,0 +1,9 @@
+from AgentVerseIO.input.base import BaseInput
+
+
+class HttpInput(BaseInput):
+    def __init__(self):
+        super().__init__()
+
+    def run(self):
+        raise NotImplementedError
diff --git a/AgentVerseIO/input/RestApiInput.py b/AgentVerseIO/input/RestApiInput.py
new file mode 100644
index 000000000..5987d7718
--- /dev/null
+++ b/AgentVerseIO/input/RestApiInput.py
@@ -0,0 +1,9 @@
+from AgentVerseIO.input.base import BaseInput
+
+
+class RestApiInput(BaseInput):
+    def __init__(self):
+        super().__init__()
+
+    def run(self):
+        raise NotImplementedError
diff --git a/AgentVerseIO/input/WebSocketInput.py b/AgentVerseIO/input/WebSocketInput.py
new file mode 100644
index 000000000..6e561afd1
--- /dev/null
+++ b/AgentVerseIO/input/WebSocketInput.py
@@ -0,0 +1,71 @@
+import asyncio
+import json
+
+from fastapi import WebSocket, WebSocketDisconnect
+
+from AgentVerseIO.exception import (
+    AgentVerseIOWebSocketDisconnectError,
+    AgentVerseIOWebSocketTimeoutError,
+)
+from AgentVerseIO.input.base import BaseInput
+from AgentVerseServer.loggers.logs import Logger
+from AgentVerseServer.response_body import WebsocketResponseBody
+
+
+class WebSocketInput(BaseInput):
+    def __init__(
+        self,
+        websocket: WebSocket,
+        do_interrupt: bool = False,
+        max_wait_seconds: int = 600,
+    ):
+        super().__init__(do_interrupt, max_wait_seconds)
+        self.websocket = websocket
+
+    def set_logger(self, logger: Logger):
+        self.logger = logger
+
+    def set_interrupt(self, do_interrupt: bool = True):
+        self.do_interrupt = do_interrupt
+
+    async def interrupt(self):
+        wait = 0
+        while wait < self.max_wait_seconds:
+            print(
+                f"\r waiting for {wait} second, remaining {self.max_wait_seconds - wait} second",
+                end="",
+            )
+            try:
+                data = await asyncio.wait_for(self.auto_receive(), 1)
+                if isinstance(data, dict):
+                    data_type = data.get("type", None)
+                    # if data_type == "ping":
+                    #     await self.websocket.send_json({"type": "pong"})
+                    #     continue
+                    if data_type == "data":
+                        self.logger.info(f"Receiving data change request...")
+                        self.logger.info(f"Received ：{data}")
+                        wait = 0
+                        return data
+                else:
+                    pass
+            except asyncio.TimeoutError:
+                wait += 1
+        self.logger.error(f"Wait timeout, close.")
+        self.websocket.send_text(
+            WebsocketResponseBody(
+                data=None, status="failed", message="Wait timeout, close."
+            ).to_text()
+        )
+        raise AgentVerseIOWebSocketTimeoutError
+
+    async def auto_receive(self):
+        data = await self.websocket.receive_json()
+        return data
+
+    async def run(self, input):
+        if self.do_interrupt:
+            data = await self.interrupt()
+            return data
+        else:
+            return input
diff --git a/AgentVerseIO/input/base.py b/AgentVerseIO/input/base.py
new file mode 100644
index 000000000..473050e77
--- /dev/null
+++ b/AgentVerseIO/input/base.py
@@ -0,0 +1,27 @@
+from abc import ABCMeta, abstractmethod
+import asyncio
+
+from AgentVerseIO.exception import AgentVerseIOCloseError
+
+
+class BaseInput(metaclass=ABCMeta):
+    def __init__(self, do_interrupt: bool = False, max_wait_seconds: int = 600):
+        self.do_interrupt = do_interrupt
+        if self.do_interrupt:
+            self.max_wait_seconds = max_wait_seconds
+
+    def set_wait(self, do_interrupt: bool = True):
+        self.do_interrupt = do_interrupt
+
+    def set_logger(self, logger):
+        self.logger = logger
+
+    async def interrupt(self):
+        raise NotImplementedError
+
+    def run(self):
+        raise NotImplementedError
+
+    def close(self):
+        # raise AgentVerseIOCloseError("close connection!")
+        pass
diff --git a/AgentVerseIO/output/CommandLineOutput.py b/AgentVerseIO/output/CommandLineOutput.py
new file mode 100644
index 000000000..326495a33
--- /dev/null
+++ b/AgentVerseIO/output/CommandLineOutput.py
@@ -0,0 +1,13 @@
+from AgentVerseIO.exception import AgentVerseIOCloseError
+from AgentVerseIO.output.base import BaseOutput
+
+
+class CommandLineOutput(BaseOutput):
+    def __init__(self):
+        super().__init__()
+
+    async def run(self, output):
+        pass
+
+    def close(self):
+        raise AgentVerseIOCloseError("close connection!")
diff --git a/AgentVerseIO/output/HttpOutput.py b/AgentVerseIO/output/HttpOutput.py
new file mode 100644
index 000000000..ddad42e9b
--- /dev/null
+++ b/AgentVerseIO/output/HttpOutput.py
@@ -0,0 +1,9 @@
+from AgentVerseIO.output.base import BaseOutput
+
+
+class HttpOutput(BaseOutput):
+    def __init__(self):
+        super().__init__()
+
+    def run(self, output):
+        print(output)
diff --git a/AgentVerseIO/output/RestApiOutput.py b/AgentVerseIO/output/RestApiOutput.py
new file mode 100644
index 000000000..71047c6cb
--- /dev/null
+++ b/AgentVerseIO/output/RestApiOutput.py
@@ -0,0 +1,9 @@
+from AgentVerseIO.output.base import BaseOutput
+
+
+class RestApiOutput(BaseOutput):
+    def __init__(self):
+        super().__init__()
+
+    def run(self, output):
+        print(output)
diff --git a/AgentVerseIO/output/SSEOutput.py b/AgentVerseIO/output/SSEOutput.py
new file mode 100644
index 000000000..548fca0de
--- /dev/null
+++ b/AgentVerseIO/output/SSEOutput.py
@@ -0,0 +1,9 @@
+from AgentVerseIO.output.base import BaseOutput
+
+
+class SSEOutput(BaseOutput):
+    def __init__(self):
+        super().__init__()
+
+    def run(self, output):
+        print(output)
diff --git a/AgentVerseIO/output/WebSocketOutput.py b/AgentVerseIO/output/WebSocketOutput.py
new file mode 100644
index 000000000..71d841b83
--- /dev/null
+++ b/AgentVerseIO/output/WebSocketOutput.py
@@ -0,0 +1,22 @@
+import traceback
+from fastapi import WebSocket
+from AgentVerseIO.exception import AgentVerseIOWebSocketDisconnectError
+from AgentVerseIO.output.base import BaseOutput
+from AgentVerseServer.response_body import WebsocketResponseBody
+
+
+class WebSocketOutput(BaseOutput):
+    def __init__(self, websocket: WebSocket):
+        super().__init__()
+        self.websocket = websocket
+
+    def set_logger(self, logger):
+        self.logger = logger
+
+    async def run(self, output: dict):
+        try:
+            websocket_data = WebsocketResponseBody(**output).to_text()
+            await self.websocket.send_text(websocket_data)
+        except Exception as e:
+            self.logger.info(traceback.format_exc())
+            raise AgentVerseIOWebSocketDisconnectError
diff --git a/AgentVerseIO/output/base.py b/AgentVerseIO/output/base.py
new file mode 100644
index 000000000..da9977694
--- /dev/null
+++ b/AgentVerseIO/output/base.py
@@ -0,0 +1,18 @@
+from abc import ABCMeta, abstractmethod
+
+from AgentVerseIO.exception import AgentVerseIOCloseError
+
+
+class BaseOutput(metaclass=ABCMeta):
+    def __init__(self, kwargs: dict = None):
+        self.kwargs = kwargs
+
+    def set_logger(self, logger):
+        self.logger = logger
+
+    def run(self):
+        raise NotImplementedError
+
+    def close(self):
+        # raise AgentVerseIOCloseError("close connection!")
+        pass
diff --git a/AgentVerseServer/README.md b/AgentVerseServer/README.md
new file mode 100644
index 000000000..c2817b26f
--- /dev/null
+++ b/AgentVerseServer/README.md
@@ -0,0 +1,45 @@
+# AgentVerse-Server Frontend and Backend Demo
+
+This is a demo of the AgentVerse-Server frontend and backend. The backend communication is mainly implemented using fastapi's `websocket`, supplemented with essential restful APIs. The frontend service is deployed locally.
+
+
+## Launching AgentVerse-Server
+
+First, we ran web ui docker when build ToolServer network.
+
+This will start an instance of AgentVerse-Server listening to port `8090` on the local machine. The configuration details can be found in the `AgentVerseServer/docker-compose.yml` file.
+
+After completing the image compilation and startup, you need to start the nginx service. Execute the following command on another command line:
+
+```
+docker exec AgentVerse-Server systemctl start nginx
+```
+
+When you see the following output, it means the image has been successfully compiled and launched:
+
+![AgentVerse-Server成功示例](https://gitee.com/sailaoda/pic2/raw/master/2023/202309272123424.png)
+
+
+## Using AgentVerse-Server
+
+After completing the above steps, you can access the frontend interface by visiting http://localhost:5173 in a web browser. Default user: admin, token: agentverse-admin, you can use it to login. An example of the interface is shown below:
+
+![login](https://gitee.com/sailaoda/pic2/raw/master/2023/202309272130865.png)
+
+Once you're inside the AgentVerse-Server, you can start using it as demonstrated:
+
+![playground](https://gitee.com/sailaoda/pic2/raw/master/2023/202309272132478.png)
+
+## Additional Information
+
+If you are running this in a Windows environment, you might encounter an error while building the image, which looks like this: `AgentVerseServer/dockerfiles/build.sh: line 2: cd: $'AgentVerseServer/dockerfiles\r': No such file or directory` as shown below:
+
+![windows_build_docker](https://gitee.com/sailaoda/pic2/raw/master/2023/202309280213559.png)
+
+To resolve this, you can navigate to the directory first, then proceed with the compilation. Use the following commands:
+
+```bash
+cd AgentVerseServer/dockerfiles/
+bash build.sh
+```
+
diff --git a/AgentVerseServer/README_zh.md b/AgentVerseServer/README_zh.md
new file mode 100644
index 000000000..dc1955788
--- /dev/null
+++ b/AgentVerseServer/README_zh.md
@@ -0,0 +1,44 @@
+# AgentVerse-Server 前后端 Demo
+
+AgentVerse-Server 前后端 Demo，后端通信部分主要由fastapi的`websocket`实现，辅以必要的restful接口；前端服务进行本地部署。
+
+
+## 启动 AgentVerse-Server
+
+我们已经开启了web ui的docker镜像，在之前 build ToolServer 网络的时候。
+
+这将启动一个AgentVerse-Server实例，监听本机`8090`端口，配置信息在`AgentVerseServer/docker-compose.yml`文件中。
+
+完成镜像编译和启动后还需启动nginx服务，在另一个命令行执行如下命令：
+
+```
+docker exec AgentVerse-Server systemctl start nginx
+```
+
+出现如下输出，就是镜像编译与启动成功了：
+
+![AgentVerse-Server成功示例](https://gitee.com/sailaoda/pic2/raw/master/2023/202309272123424.png)
+
+
+## 使用 AgentVerse-Server
+完成上述操作后，浏览器访问 http://localhost:5173 即可进入前端界面，示例如下 (可以默认用户名: admin, token: agentverse-admin 进行登录)：
+
+![login](https://gitee.com/sailaoda/pic2/raw/master/2023/202309272130865.png)
+
+进入 AgentVerse-Server 后即可开始使用，如下所示：
+
+![playground](https://gitee.com/sailaoda/pic2/raw/master/2023/202309272132478.png)
+
+## 其他
+
+如果您是在windows环境中运行，在编译镜像时可能会出现`AgentVerseServer/dockerfiles/build.sh: line 2: cd: $'AgentVerseServer/dockerfiles\r': No such file or directory`的报错情况，如下所示：
+
+![windows_build_docker](https://gitee.com/sailaoda/pic2/raw/master/2023/202309280213559.png)
+
+您可以先进入路径目录，在进行编译，即可解决，执行命令如下：
+
+```bash
+cd AgentVerseServer/dockerfiles/
+bash build.sh
+```
+
diff --git a/AgentVerseServer/database/__init__.py b/AgentVerseServer/database/__init__.py
new file mode 100644
index 000000000..f10ef166c
--- /dev/null
+++ b/AgentVerseServer/database/__init__.py
@@ -0,0 +1,121 @@
+from typing import Union
+
+from sqlalchemy.orm import Session
+
+from AgentVerseServer.envs import AgentVerseServerEnv
+from AgentVerseServer.models.interaction import InteractionBase
+from AgentVerseServer.models.parameter import InteractionParameter
+from AgentVerseServer.models.shared_interaction import SharedInteractionBase
+
+from typing import Union
+
+
+class UserBaseInterface:
+    """ """
+
+    def __init__(self, envs: AgentVerseServerEnv) -> None:
+        pass
+
+    def register_db(self, db: Session):
+        self.db = db
+
+    def init(self):
+        raise NotImplementedError
+
+    def get_user_list(self) -> list:
+        raise NotImplementedError
+
+    def get_user_dict_list(self):
+        raise NotImplementedError
+
+    def get_user(
+        self, user_id: Union[str, None] = None, email: Union[str, None] = None
+    ):
+        raise NotImplementedError
+
+    def user_is_exist(
+        self, user_id: Union[str, None] = None, email: Union[str, None] = None
+    ):
+        raise NotImplementedError
+
+    def token_is_exist(self, user_id: str, token: Union[str, None] = None):
+        raise NotImplementedError
+
+    def user_is_valid(
+        self,
+        user_id: Union[str, None] = None,
+        email: Union[str, None] = None,
+        token: Union[str, None] = None,
+    ):
+        raise NotImplementedError
+
+    def add_user(self, user_dict: dict):
+        raise NotImplementedError
+
+    def update_user(self, user):
+        raise NotImplementedError
+
+
+class InteractionBaseInterface:
+    def __init__(self, envs: AgentVerseServerEnv) -> None:
+        pass
+
+    def register_db(self, db: Session):
+        self.db = db
+
+    def init(self):
+        raise NotImplementedError
+
+    def get_interaction_dict_list(self):
+        raise NotImplementedError
+
+    def get_interaction_list(self) -> list:
+        raise NotImplementedError
+
+    def get_interaction(self, interaction_id: str) -> InteractionBase:
+        raise NotImplementedError
+
+    def create_interaction(self, interaction: InteractionBase):
+        raise NotImplementedError
+
+    def add_parameter(self, parameter: InteractionParameter):
+        raise NotImplementedError
+
+    def get_interaction_by_user_id(self, user_id: str) -> list:
+        raise NotImplementedError
+
+    def get_shared_interactions(self, page_size: int = 20, page_index: int = 1):
+        raise NotImplementedError
+
+    def get_interaction_by_interaction_id(self, interaction_id: str):
+        raise NotImplementedError
+
+    def interaction_is_exist(self, interaction_id: str):
+        raise NotImplementedError
+
+    def update_interaction(self, interaction: InteractionBase):
+        raise NotImplementedError
+
+    def update_interaction_status(
+        self, interaction_id: str, status: str, message: str, current_step: int
+    ):
+        raise NotImplementedError
+
+    def update_interaction_parameter(
+        self, interaction_id: str, parameter: InteractionParameter
+    ):
+        raise NotImplementedError
+
+    def is_running(self, user_id: str):
+        raise NotImplementedError
+
+    def delete_interaction(self, interaction_id: str):
+        raise NotImplementedError
+
+    def add_share(self, shared: SharedInteractionBase):
+        raise NotImplementedError
+
+    def get_shared_interaction(
+        self, interaction_id: str
+    ) -> Union[SharedInteractionBase, None]:
+        raise NotImplementedError
diff --git a/AgentVerseServer/database/connect.py b/AgentVerseServer/database/connect.py
new file mode 100644
index 000000000..30ea562b4
--- /dev/null
+++ b/AgentVerseServer/database/connect.py
@@ -0,0 +1,30 @@
+from sqlalchemy import create_engine
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import sessionmaker
+
+from AgentVerseServer.database.models import Base
+from AgentVerseServer.envs import AgentVerseServerEnv
+
+
+class DBConnection:
+    def __init__(self, envs: AgentVerseServerEnv) -> None:
+        if envs.DB.db_type == "file":
+            raise ValueError(
+                "Require a sql database, such as sqlite, mysql, postgresql"
+            )
+
+        SQLALCHEMY_DATABASE_URL = envs.DB.db_url
+
+        engine = create_engine(
+            SQLALCHEMY_DATABASE_URL,
+            pool_size=10,
+            max_overflow=2,
+            pool_timeout=30,
+            pool_recycle=-1,
+        )
+
+        # Base.metadata.create_all(bind=engine)
+
+        SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
+
+        self.db_session = SessionLocal()
diff --git a/AgentVerseServer/database/dbi.py b/AgentVerseServer/database/dbi.py
new file mode 100644
index 000000000..c1ac03578
--- /dev/null
+++ b/AgentVerseServer/database/dbi.py
@@ -0,0 +1,386 @@
+import traceback
+from datetime import datetime
+
+from sqlalchemy.orm import Session
+from sqlalchemy.sql import func
+from typing import Union
+from AgentVerseServer.database import InteractionBaseInterface, UserBaseInterface
+from AgentVerseServer.database.models import (
+    Interaction,
+    Parameter,
+    SharedInteraction,
+    User,
+)
+from AgentVerseServer.envs import AgentVerseServerEnv
+from AgentVerseServer.models.interaction import InteractionBase
+from AgentVerseServer.models.parameter import InteractionParameter
+from AgentVerseServer.models.shared_interaction import SharedInteractionBase
+from AgentVerseServer.models.user import AgentVerseUser
+
+
+class UserDBInterface(UserBaseInterface):
+    def __init__(self, envs: AgentVerseServerEnv) -> None:
+        if envs.DB.use_db and envs.DB.db_type == "file":
+            raise ValueError(
+                "UserDB except a sql database, such as sqlite, mysql, postgresql"
+            )
+        self.db_url = envs.DB.db_url
+
+    def register_db(self, db: Session):
+        self.db = db
+
+    def init(self):
+        raise NotImplementedError
+
+    def get_user_list(self) -> list[AgentVerseUser]:
+        users = self.db.query(User).all()
+        users = [AgentVerseUser.from_db(user) for user in users]
+        return users
+
+    def get_user_dict_list(self):
+        return self.user_list_cache
+
+    def get_user(
+        self, user_id: Union[str, None] = None, email: Union[str, None] = None
+    ) -> Union[AgentVerseUser, None]:
+        if not email and not user_id:
+            return None
+        if email:
+            user = (
+                self.db.query(User)
+                .filter(User.email == email, User.deleted == False)
+                .first()
+            )
+        else:
+            user = (
+                self.db.query(User)
+                .filter(User.user_id == user_id, User.deleted == False)
+                .first()
+            )
+
+        return AgentVerseUser.from_db(user) if user else None
+
+    def user_is_exist(
+        self, user_id: Union[str, None] = None, email: Union[str, None] = None
+    ):
+        if not email and not user_id:
+            return False
+        if email:
+            user = (
+                self.db.query(User)
+                .filter(User.email == email, User.deleted == False)
+                .first()
+            )
+        else:
+            user = (
+                self.db.query(User)
+                .filter(User.user_id == user_id, User.deleted == False)
+                .first()
+            )
+        return user is not None
+
+    def token_is_exist(self, user_id: str, token: Union[str, None] = None):
+        if not token:
+            return False
+
+        user = (
+            self.db.query(User)
+            .filter(User.user_id == user_id, User.token == token, User.deleted == False)
+            .first()
+        )
+        return user is not None
+
+    def user_is_valid(
+        self,
+        user_id: Union[str, None] = None,
+        email: Union[str, None] = None,
+        token: Union[str, None] = None,
+    ):
+        if email == "":
+            return False
+        user = (
+            self.db.query(User)
+            .filter(User.user_id == user_id, User.token == token, User.deleted == False)
+            .first()
+        )
+        if token == None:
+            if user.email == email and user.available:
+                return True
+        if user_id != None:
+            if user.user_id == user_id and user.token == token and user.available:
+                return True
+        if email != None:
+            if user.email == email and user.token == token and user.available:
+                return True
+        return False
+
+    def add_user(self, user_dict: dict):
+        try:
+            self.db.add(User(**user_dict))
+            self.db.commit()
+        except Exception as e:
+            self.db.rollback()
+            print(traceback.print_exec())
+
+    def update_user(self, user: AgentVerseUser):
+        db_user = (
+            self.db.query(User)
+            .filter(User.user_id == user.user_id, User.deleted == False)
+            .first()
+        )
+        try:
+            db_user.available = user.available
+            db_user.email = user.email
+            db_user.name = user.name
+            db_user.token = user.token
+            db_user.update_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            self.db.commit()
+        except Exception as e:
+            self.db.rollback()
+            print(traceback.print_exec())
+
+
+class InteractionDBInterface(InteractionBaseInterface):
+    def __init__(self, envs: AgentVerseServerEnv) -> None:
+        super().__init__(envs)
+        if envs.DB.use_db and envs.DB.db_type not in ["sqlite", "mysql", "postgresql"]:
+            raise ValueError(
+                "UserDB except a sql database, such as sqlite, mysql, postgresql"
+            )
+        self.db_url = envs.DB.db_url
+
+    def register_db(self, db: Session):
+        self.db = db
+
+    def init(self):
+        """
+        not use
+        """
+        raise NotImplementedError
+
+    def get_interaction_dict_list(self):
+        raise NotImplementedError
+
+    def get_interaction_list(self) -> list[InteractionBase]:
+        interactions = self.db.query(Interaction).all()
+        return [InteractionBase.from_db(interaction) for interaction in interactions]
+
+    def get_interaction(self, interaction_id: str) -> Union[InteractionBase, None]:
+        interaction = (
+            self.db.query(Interaction)
+            .filter(Interaction.interaction_id == interaction_id)
+            .first()
+        )
+        return InteractionBase.from_db(interaction) if interaction else None
+
+    def create_interaction(self, base: InteractionBase) -> InteractionBase:
+        """
+        创建一个对话
+        """
+        try:
+            self.db.add(Interaction(**base.to_dict()))
+            self.db.commit()
+        except Exception as e:
+            self.db.rollback()
+            print(traceback.print_exec())
+        return None
+
+    def add_parameter(self, parameter: InteractionParameter):
+        """
+        创建一个对话
+        """
+        try:
+            self.db.add(Parameter(**parameter.to_dict()))
+            self.db.commit()
+        except Exception as e:
+            self.db.rollback()
+            print(traceback.print_exec())
+
+        return None
+
+    def get_interaction_by_user_id(
+        self, user_id: str, page_size: int = 20, page_num: int = 1
+    ) -> list[dict]:
+        """
+        查看对话历史
+        """
+        total = (
+            self.db.query(func.count(Interaction.id))
+            .filter(Interaction.user_id == user_id, Interaction.is_deleted == False)
+            .scalar()
+        )
+        interaction_list = (
+            self.db.query(Interaction)
+            .filter(Interaction.user_id == user_id, Interaction.is_deleted == False)
+            .limit(page_size)
+            .offset((page_num - 1) * page_size)
+            .all()
+        )
+        data = []
+        for i, interaction in enumerate(interaction_list):
+            d_ = InteractionBase.from_db(interaction).to_dict(
+                exclude=["recorder_root_dir", "is_deleted"]
+            )
+            parameter = [
+                {**p.args} if isinstance(p.args, dict) else p.args
+                for p in self.get_parameter(d_["interaction_id"])
+            ]
+            d_["parameters"] = parameter
+            data.append(d_)
+        return {"total": total, "rows": data}
+
+    def get_shared_interactions(
+        self, page_size: int = 20, page_num: int = 1
+    ) -> list[dict]:
+        """
+        获取社区分享的数据
+        """
+        total = (
+            self.db.query(func.count(SharedInteraction.id))
+            .filter(SharedInteraction.is_deleted == False)
+            .scalar()
+        )
+        interaction_list = (
+            self.db.query(SharedInteraction)
+            .filter(SharedInteraction.is_deleted == False)
+            .order_by(SharedInteraction.star.desc())
+            .limit(page_size)
+            .offset((page_num - 1) * page_size)
+            .all()
+        )
+        data = []
+        for i, interaction in enumerate(interaction_list):
+            d_ = SharedInteractionBase.from_db(interaction).to_dict(
+                exclude=["record_dir", "is_deleted"]
+            )
+            parameter = [
+                {**p.args} if isinstance(p.args, dict) else p.args
+                for p in self.get_parameter(d_["interaction_id"])
+            ]
+            d_["parameters"] = parameter
+            data.append(d_)
+        return {"total": total, "rows": data}
+
+    def get_shared_interaction(
+        self, interaction_id: str
+    ) -> Union[SharedInteractionBase, None]:
+        interaction = (
+            self.db.query(SharedInteraction)
+            .filter(
+                SharedInteraction.interaction_id == interaction_id,
+                SharedInteraction.is_deleted == False,
+            )
+            .first()
+        )
+        return SharedInteractionBase.from_db(interaction) if interaction else None
+
+    def interaction_is_exist(self, interaction_id: str) -> bool:
+        interaction = (
+            self.db.query(Interaction)
+            .filter(
+                Interaction.interaction_id == interaction_id,
+                Interaction.is_deleted == False,
+            )
+            .first()
+        )
+        return interaction is not None
+
+    def update_interaction(self, base_data: dict):
+        try:
+            if "interaction_id" not in base_data:
+                raise ValueError("interaction_id is required")
+            interaction = (
+                self.db.query(Interaction)
+                .filter(Interaction.interaction_id == base_data["interaction_id"])
+                .first()
+            )
+            if interaction is None:
+                raise ValueError("interaction is not exist")
+            for k, v in base_data.items():
+                if k == "interaction_id":
+                    continue
+                setattr(interaction, k, v)
+            interaction.update_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            self.db.commit()
+        except Exception as e:
+            self.db.rollback()
+            print(traceback.print_exec())
+
+    def update_interaction_status(
+        self, interaction_id: str, status: str, message: str, current_step: int
+    ):
+        try:
+            db_interaction = (
+                self.db.query(Interaction)
+                .filter(Interaction.interaction_id == interaction_id)
+                .first()
+            )
+            db_interaction.status = status
+            db_interaction.message = message
+            db_interaction.current_step = current_step
+            db_interaction.update_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+            self.db.commit()
+        except Exception as e:
+            self.db.rollback()
+            print(traceback.print_exec())
+
+    def update_interaction_parameter(
+        self, interaction_id: str, parameter: InteractionParameter
+    ):
+        try:
+            db_parameter = (
+                self.db.query(Parameter)
+                .filter(
+                    Parameter.interaction_id == interaction_id,
+                    Parameter.parameter_id == parameter.parameter_id,
+                )
+                .first()
+            )
+            if db_parameter is None:
+                self.db.add(Parameter(**parameter.to_dict()))
+            self.db.commit()
+        except Exception as e:
+            self.db.rollback()
+            print(traceback.print_exec())
+
+    def is_running(self, user_id: str):
+        interaction = (
+            self.db.query(Interaction)
+            .filter(
+                Interaction.user_id == user_id,
+                Interaction.status.in_(("running", "waiting")),
+            )
+            .first()
+        )
+        return interaction is not None
+
+    def get_parameter(self, interaction_id: str):
+        parameters = (
+            self.db.query(Parameter)
+            .filter(Parameter.interaction_id == interaction_id)
+            .all()
+        )
+        return [InteractionParameter.from_db(param) for param in parameters]
+
+    def delete_interaction(self, interaction_id: str):
+        try:
+            interaction = (
+                self.db.query(Interaction)
+                .filter(Interaction.interaction_id == interaction_id)
+                .first()
+            )
+            if interaction is None:
+                raise ValueError("interaction is not exist")
+            interaction.is_deleted = True
+            self.db.commit()
+        except Exception as e:
+            self.db.rollback()
+            print(traceback.print_exec())
+
+    def add_share(self, shared: SharedInteractionBase):
+        try:
+            self.db.add(SharedInteraction(**shared.to_dict()))
+            self.db.commit()
+        except Exception as e:
+            self.db.rollback()
+            print(traceback.print_exec())
diff --git a/AgentVerseServer/database/lsi.py b/AgentVerseServer/database/lsi.py
new file mode 100644
index 000000000..dc3d76503
--- /dev/null
+++ b/AgentVerseServer/database/lsi.py
@@ -0,0 +1,364 @@
+import copy
+import json
+import os
+from datetime import datetime
+from typing import Union
+from sqlalchemy.orm import Session
+
+from AgentVerseServer.database import InteractionBaseInterface, UserBaseInterface
+from AgentVerseServer.envs import AgentVerseServerEnv
+from AgentVerseServer.interaction import InteractionParameter
+from AgentVerseServer.models.interaction import InteractionBase
+from AgentVerseServer.models.user import AgentVerseUser
+
+
+class UserLocalStorageInterface(UserBaseInterface):
+    def __init__(self, envs: AgentVerseServerEnv) -> None:
+        if envs.DB.db_type != "file":
+            raise ValueError("UserLocalStorageInterface only support file db")
+        try:
+            self.db_url = envs.DB.db_url.get("users", "users/users.json")
+        except Exception as e:
+            raise ValueError("UserLocalStorageInterface only support json file")
+        self.envs = envs
+        self.user_list_cache = []
+        self.init()
+
+    def register_db(self, db: Session):
+        self.db = db
+
+    def init(self):
+        if not os.path.exists(os.path.dirname(self.db_url)):
+            os.makedirs(os.path.dirname(self.db_url))
+
+        if not os.path.exists(self.db_url):
+            with open(self.db_url, "w", encoding="utf-8") as f:
+                if self.envs.default_login:
+                    json.dump(
+                        [
+                            {
+                                "user_id": "admin",
+                                "email": "admin",
+                                "token": "agentverse-admin",
+                                "name": "admin",
+                                "available": True,
+                                "create_time": datetime.now().strftime(
+                                    "%Y-%m-%d %H:%M:%S"
+                                ),
+                                "update_time": datetime.now().strftime(
+                                    "%Y-%m-%d %H:%M:%S"
+                                ),
+                                "corporation": "agentverse",
+                                "industry": "AI",
+                                "position": "agentverse",
+                                "deleted": False,
+                            }
+                        ],
+                        f,
+                        indent=2,
+                        ensure_ascii=False,
+                    )
+                else:
+                    json.dump([], f, indent=2, ensure_ascii=False)
+
+        with open(self.db_url, "r", encoding="utf-8") as f:
+            self.user_list_cache = json.load(f)
+
+    def get_user_list(self) -> list:
+        users = []
+        for user_dict in self.user_list_cache:
+            users.append(AgentVerseUser(**user_dict))
+
+        return users
+
+    def get_user_dict_list(self):
+        return self.user_list_cache
+
+    def get_user(
+        self, user_id: Union[str, None] = None, email: Union[str, None] = None
+    ) -> Union[AgentVerseUser, None]:
+        if not email and not user_id:
+            return None
+        user_list = self.get_user_list()
+        for user in user_list:
+            if user.email == email and not user.deleted:
+                return user
+            if user.user_id == user_id and not user.deleted:
+                return user
+        return None
+
+    def user_is_exist(
+        self, user_id: Union[str, None] = None, email: Union[str, None] = None
+    ):
+        if not email and not user_id:
+            return False
+
+        user_list = self.get_user_list()
+
+        for user in user_list:
+            if user.email == email and not user.deleted:
+                return True
+            if user.user_id == user_id and not user.deleted:
+                return True
+        return False
+
+    def token_is_exist(self, user_id: str, token: Union[str, None] = None):
+        if not token:
+            return False
+
+        user_list = self.get_user_list()
+
+        for user in user_list:
+            if user.user_id == user_id and user.token == token and not user.deleted:
+                return True
+        return False
+
+    def user_is_valid(
+        self,
+        user_id: Union[str, None] = None,
+        email: Union[str, None] = None,
+        token: Union[str, None] = None,
+    ):
+        if email == "":
+            return False
+        user_list = self.get_user_list()
+        for user in user_list:
+            if token == None:
+                if user.email == email and user.available and not user.deleted:
+                    return True
+            if user_id != None:
+                if (
+                    user.user_id == user_id
+                    and user.token == token
+                    and user.available
+                    and not user.deleted
+                ):
+                    return True
+            if email != None:
+                if (
+                    user.email == email
+                    and user.token == token
+                    and user.available
+                    and not user.deleted
+                ):
+                    return True
+        return False
+
+    def add_user(self, user_dict: dict):
+        self.user_list_cache.append(user_dict)
+        with open(self.db_url, "w", encoding="utf-8") as f:
+            json.dump(self.user_list_cache, f, indent=2, ensure_ascii=False)
+
+    def update_user(self, user: AgentVerseUser):
+        for i, user_dict in enumerate(self.user_list_cache):
+            if user.user_id == user_dict["user_id"]:
+                user_dict["available"] = user.available
+
+        with open(self.db_url, "w", encoding="utf-8") as f:
+            json.dump(self.user_list_cache, f, indent=2, ensure_ascii=False)
+
+
+class InteractionLocalStorageInterface(InteractionBaseInterface):
+    def __init__(self, envs: AgentVerseServerEnv) -> None:
+        super().__init__(envs)
+        if envs.DB.db_type != "file":
+            raise ValueError("InteractionLocalStorageInterface only support file db")
+        try:
+            self.db_url = envs.DB.db_url.get(
+                "interactions", "AgentVerseServer/localstorage/records/interaction.json"
+            )
+            self.parameter_url = envs.DB.db_url.get(
+                "parameter", "AgentVerseServer/localstorage/records/parameter.json"
+            )
+        except Exception as e:
+            raise ValueError("InteractionLocalStorageInterface only support json file")
+        self.interaction_list_cache = []
+        self.interaction_parameter_cache = []
+        self.init()
+
+    def register_db(self, db: Session):
+        self.db = db
+
+    def init(self):
+        if not os.path.exists(os.path.dirname(self.db_url)):
+            os.makedirs(os.path.dirname(self.db_url))
+
+        if not os.path.exists(self.db_url):
+            with open(self.db_url, "w", encoding="utf-8") as f:
+                json.dump([], f, indent=2, ensure_ascii=False)
+
+        if not os.path.exists(os.path.dirname(self.parameter_url)):
+            os.makedirs(os.path.dirname(self.parameter_url))
+
+        if not os.path.exists(self.parameter_url):
+            with open(self.parameter_url, "w", encoding="utf-8") as f:
+                json.dump({}, f, indent=2, ensure_ascii=False)
+
+        with open(self.db_url, "r", encoding="utf-8") as f:
+            self.interaction_list_cache = json.load(f)
+
+        with open(self.parameter_url, "r", encoding="utf-8") as f:
+            self.interaction_parameter_cache = json.load(f)
+
+    def get_interaction_dict_list(self):
+        interactions = copy.deepcopy(self.interaction_list_cache)
+        return interactions
+
+    def get_interaction_list(self) -> list:
+        interactions = copy.deepcopy(self.interaction_list_cache)
+        return interactions
+
+    def get_interaction(self, interaction_id: str) -> Union[InteractionBase, None]:
+        interaction_list = self.get_interaction_list()
+        for interaction in interaction_list:
+            if interaction["interaction_id"] == interaction_id:
+                return InteractionBase(**interaction)
+        return None
+
+    def create_interaction(self, base: InteractionBase):
+        self.interaction_list_cache.append(base.to_dict())
+        with open(self.db_url, "w", encoding="utf-8") as f:
+            json.dump(self.interaction_list_cache, f, indent=2, ensure_ascii=False)
+
+    def add_parameter(self, parameter: InteractionParameter = None):
+        if parameter is not None:
+            interaction_ids = [k for k in self.interaction_parameter_cache.keys()]
+            if parameter.interaction_id not in interaction_ids:
+                self.interaction_parameter_cache[parameter.interaction_id] = [
+                    parameter.to_dict()
+                ]
+            else:
+                self.interaction_parameter_cache[parameter.interaction_id].append(
+                    parameter.to_dict()
+                )
+
+            with open(self.parameter_url, "w", encoding="utf-8") as f:
+                json.dump(
+                    self.interaction_parameter_cache, f, indent=2, ensure_ascii=False
+                )
+
+    def get_parameter(self, interaction_id: str) -> list[InteractionParameter]:
+        interaction_ids = [k for k in self.interaction_parameter_cache.keys()]
+        if interaction_id not in interaction_ids:
+            return []
+        else:
+            return [
+                InteractionParameter(**p)
+                for p in self.interaction_parameter_cache[interaction_id]
+            ]
+
+    def get_interaction_by_user_id(
+        self, user_id: str, page_size: int = 10, page_num: int = 1
+    ) -> list[dict]:
+        _data = []
+        interaction_list = self.get_interaction_list()
+        user_interaction_list = [
+            interaction
+            for interaction in interaction_list
+            if interaction["user_id"] == user_id and not interaction["is_deleted"]
+        ]
+        total = len(user_interaction_list)
+        user_interaction_list = user_interaction_list[::-1]
+        user_interaction_list = user_interaction_list[
+            (page_num - 1) * page_size : page_num * page_size
+        ]
+
+        for i, interaction in enumerate(user_interaction_list):
+            parameter = [
+                {**p.args} if isinstance(p.args, dict) else p.args
+                for p in self.get_parameter(interaction["interaction_id"])
+            ]
+            interaction["parameters"] = parameter
+            _data.append(interaction)
+        return {"total": total, "rows": user_interaction_list}
+
+    def get_interaction_by_interaction_id(
+        self, interaction_id: str
+    ) -> Union[InteractionBase, None]:
+        interaction_list = self.get_interaction_list()
+        for interaction in interaction_list:
+            if interaction["interaction_id"] == interaction_id:
+                return interaction
+        return None
+
+    def interaction_is_exist(self, interaction_id: str) -> bool:
+        interaction_list = self.get_interaction_list()
+        for interaction in interaction_list:
+            if (
+                interaction["interaction_id"] == interaction_id
+                and not interaction["is_deleted"]
+            ):
+                return True
+        return False
+
+    def update_interaction(self, base_data: dict):
+        if "interaction_id" not in base_data.keys():
+            raise ValueError("interaction_id must be in base_data")
+        for i, interaction_dict in enumerate(self.interaction_list_cache):
+            if interaction_dict["interaction_id"] == base_data["interaction_id"]:
+                for k, v in base_data.items():
+                    if k == "interaction_id":
+                        continue
+                    self.interaction_list_cache[i][k] = v
+                break
+
+        with open(self.db_url, "w", encoding="utf-8") as f:
+            json.dump(self.interaction_list_cache, f, indent=2, ensure_ascii=False)
+
+    def update_interaction_status(
+        self, interaction_id: str, status: str, message: str, current_step: int
+    ):
+        for i, interaction_dict in enumerate(self.interaction_list_cache):
+            if interaction_dict["interaction_id"] == interaction_id:
+                self.interaction_list_cache[i]["status"] = status
+                self.interaction_list_cache[i]["message"] = message
+                self.interaction_list_cache[i]["current_step"] = current_step
+                self.interaction_list_cache[i]["update_time"] = datetime.now().strftime(
+                    "%Y-%m-%d %H:%M:%S"
+                )
+                break
+
+        with open(self.db_url, "w", encoding="utf-8") as f:
+            json.dump(self.interaction_list_cache, f, indent=2, ensure_ascii=False)
+
+    def update_interaction_parameter(
+        self, interaction_id: str, parameter: InteractionParameter
+    ):
+        interaction_ids = [k for k in self.interaction_parameter_cache.keys()]
+        if interaction_id not in interaction_ids:
+            self.interaction_parameter_cache[interaction_id] = [parameter.to_dict()]
+        else:
+            self.interaction_parameter_cache[interaction_id].append(parameter.to_dict())
+
+        with open(self.parameter_url, "w", encoding="utf-8") as f:
+            json.dump(self.interaction_parameter_cache, f, indent=2, ensure_ascii=False)
+
+    def is_running(self, user_id: str):
+        interaction_list = self.get_interaction_list()
+        for interaction in interaction_list:
+            if (
+                interaction["user_id"] == user_id
+                and interaction["status"] in ["running", "waiting"]
+                and not interaction["is_deleted"]
+            ):
+                return True
+        return False
+
+    def delete_interaction(self, interaction_id: str):
+        interaction_list = self.get_interaction_list()
+        for i, interaction_dict in enumerate(interaction_list):
+            if interaction_dict["interaction_id"] == interaction_id:
+                self.interaction_list_cache[i]["is_deleted"] = True
+                break
+
+        with open(self.db_url, "w", encoding="utf-8") as f:
+            json.dump(self.interaction_list_cache, f, indent=2, ensure_ascii=False)
+
+    def get_shared_interaction(
+        self, interaction_id: str
+    ) -> Union[InteractionBase, None]:
+        interaction_list = self.get_interaction_list()
+        for interaction in interaction_list:
+            if interaction["interaction_id"] == interaction_id:
+                return InteractionBase(**interaction)
+        return None
diff --git a/AgentVerseServer/database/models.py b/AgentVerseServer/database/models.py
new file mode 100644
index 000000000..0dea8aeb7
--- /dev/null
+++ b/AgentVerseServer/database/models.py
@@ -0,0 +1,67 @@
+from sqlalchemy import JSON, Boolean, Column, ForeignKey, Integer, String, Text
+from sqlalchemy.ext.declarative import declarative_base
+from sqlalchemy.orm import relationship
+
+
+Base = declarative_base()
+
+
+class User(Base):
+    __tablename__="users"
+
+    id=Column(Integer,primary_key=True,index=True)
+    user_id = Column(String(32), unique=True, index=True)
+    email = Column(String(255), unique=True)
+    name = Column(String(255))
+    token = Column(String(255))
+    available = Column(Boolean, default=True)
+    deleted = Column(Boolean, default=False)
+    corporation = Column(Text)
+    industry = Column(Text)
+    position = Column(String(255))
+    create_time = Column(String(255))
+    update_time = Column(String(255))
+
+
+class Interaction(Base):
+    __tablename__ = "interactions"
+
+    id = Column(Integer, primary_key=True, index=True)
+    interaction_id = Column(String(255))
+    user_id = Column(String(255))
+    create_time = Column(String(255))
+    update_time = Column(String(255))
+    description = Column(String(255))
+    agent = Column(String(255))
+    mode = Column(String(255))
+    recorder_root_dir = Column(Text)
+    file_list = Column(JSON)
+    status = Column(String(255))
+    message = Column(Text)
+    current_step = Column(String(255))
+    is_deleted = Column(Boolean, default=False)
+
+
+class Parameter(Base):
+    __tablename__ = "interaction_parameters"
+
+    id = Column(Integer, primary_key=True, index=True)
+    interaction_id = Column(String(32), unique=True, index=True)
+    parameter_id = Column(String(32))
+    args = Column(JSON)
+
+
+class SharedInteraction(Base):
+    __tablename__ = "shared_interactions"
+
+    id = Column(Integer, primary_key=True, index=True)
+    interaction_id = Column(String(255))
+    user_name = Column(String(255))
+    create_time = Column(String(255))
+    update_time = Column(String(255))
+    description = Column(String(255))
+    agent = Column(String(255))
+    mode = Column(String(255))
+    is_deleted = Column(Boolean, default=False)
+    star = Column(Integer, default=0)
+    record_dir = Column(Text)
diff --git a/AgentVerseServer/database/sql/create_mysql_table.sql b/AgentVerseServer/database/sql/create_mysql_table.sql
new file mode 100644
index 000000000..af7871065
--- /dev/null
+++ b/AgentVerseServer/database/sql/create_mysql_table.sql
@@ -0,0 +1,79 @@
+SET NAMES utf8mb4;
+SET FOREIGN_KEY_CHECKS = 0;
+
+-- ----------------------------
+-- Table structure for interaction_parameters
+-- ----------------------------
+DROP TABLE IF EXISTS `interaction_parameters`;
+CREATE TABLE `interaction_parameters`  (
+  `id` int NOT NULL AUTO_INCREMENT COMMENT '主键',
+  `interaction_id` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '对话ID',
+  `parameter_id` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '参数ID',
+  `args` json NULL COMMENT '参数',
+  PRIMARY KEY (`id`) USING BTREE
+) ENGINE = InnoDB AUTO_INCREMENT = 88 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
+
+-- ----------------------------
+-- Table structure for interactions
+-- ----------------------------
+DROP TABLE IF EXISTS `interactions`;
+CREATE TABLE `interactions`  (
+  `id` int NOT NULL AUTO_INCREMENT COMMENT '主键',
+  `interaction_id` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '对话ID',
+  `user_id` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '用户ID',
+  `create_time` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '创建时间',
+  `update_time` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '更新时间',
+  `description` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '描述',
+  `agent` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '代理',
+  `mode` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '模式',
+  `recorder_root_dir` text CHARACTER SET utf8 COLLATE utf8_general_ci NULL COMMENT '录音根目录',
+  `file_list` json NULL COMMENT '文件列表',
+  `status` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '状态',
+  `message` text CHARACTER SET utf8 COLLATE utf8_general_ci NULL COMMENT '消息',
+  `current_step` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '当前步骤',
+  `is_deleted` tinyint(1) NULL DEFAULT 0 COMMENT '是否删除',
+  PRIMARY KEY (`id`) USING BTREE
+) ENGINE = InnoDB AUTO_INCREMENT = 92 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
+
+-- ----------------------------
+-- Table structure for shared_interactions
+-- ----------------------------
+DROP TABLE IF EXISTS `shared_interactions`;
+CREATE TABLE `shared_interactions`  (
+  `id` int NOT NULL AUTO_INCREMENT COMMENT '主键',
+  `interaction_id` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '交互ID',
+  `user_name` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '用户名',
+  `create_time` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '创建时间',
+  `update_time` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '更新时间',
+  `description` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '描述',
+  `agent` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT 'agent',
+  `mode` varchar(255) CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NOT NULL COMMENT '模式',
+  `is_deleted` tinyint(1) NOT NULL DEFAULT 0 COMMENT '是否删除',
+  `star` int NOT NULL DEFAULT 0 COMMENT '星级',
+  `record_dir` text CHARACTER SET utf8mb4 COLLATE utf8mb4_0900_ai_ci NULL COMMENT '记录路径',
+  PRIMARY KEY (`id`) USING BTREE
+) ENGINE = InnoDB AUTO_INCREMENT = 50 CHARACTER SET = utf8mb4 COLLATE = utf8mb4_0900_ai_ci ROW_FORMAT = Dynamic;
+
+-- ----------------------------
+-- Table structure for users
+-- ----------------------------
+DROP TABLE IF EXISTS `users`;
+CREATE TABLE `users`  (
+  `id` int NOT NULL AUTO_INCREMENT COMMENT '主键',
+  `user_id` varchar(32) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '用户ID',
+  `email` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL COMMENT '邮箱',
+  `name` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '姓名',
+  `token` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '令牌',
+  `available` tinyint(1) NULL DEFAULT 1 COMMENT '是否可用',
+  `corporation` text CHARACTER SET utf8 COLLATE utf8_general_ci NULL COMMENT '公司',
+  `industry` text CHARACTER SET utf8 COLLATE utf8_general_ci NULL COMMENT '行业',
+  `position` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '职位',
+  `create_time` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '创建时间',
+  `update_time` varchar(255) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT NULL COMMENT '更新时间',
+  `deleted` tinyint(1) NULL DEFAULT NULL COMMENT '删除标识',
+  PRIMARY KEY (`id`) USING BTREE,
+  UNIQUE INDEX `user_id`(`user_id` ASC) USING BTREE,
+  UNIQUE INDEX `email`(`email` ASC) USING BTREE
+) ENGINE = InnoDB AUTO_INCREMENT = 152 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
+
+SET FOREIGN_KEY_CHECKS = 1;
diff --git a/AgentVerseServer/envs.py b/AgentVerseServer/envs.py
new file mode 100644
index 000000000..008f19dc8
--- /dev/null
+++ b/AgentVerseServer/envs.py
@@ -0,0 +1,95 @@
+import os
+
+from dotenv import find_dotenv, load_dotenv
+
+load_dotenv(find_dotenv(".env"))
+
+
+class AgentVerseServerEnv:
+    """
+    AgentVerseServer environment variables
+    if you change value of the environment variable, you need to restart the AgentVerseServer by running the following command:
+    `python start_server.py`
+    or start a unicorn server by yourself
+
+    """
+
+    app = "app:app"
+    prod: bool = os.getenv("PROD", "False").lower() == "true"
+    base_dir = "AgentVerseServer"
+    use_redis: bool = False
+    recorder_root_dir = "running_records"
+    # you can set default_login with True to use the default user "admin" with token "agentverse-admin" to login,
+    default_login: bool = True
+    # the parameter check_running is used to check whether the interaction is running,
+    # if you want to connect more than one AgentVerseServer, you can set check_running to True,
+    # in which case the AgentVerseServer will check whether the interaction is running in other AgentVerseServer
+    check_running: bool = False
+    host = "0.0.0.0"
+    port = 8090
+    debug = True
+    reload = True
+    workers = 1
+
+    class DB:
+        use_db = False
+        # Optional["file", "sqlite", "mysql", "postgresql"]
+        db_type = "file"
+        if db_type == "file":
+            # if you want to use file to store data, you can set db_url to {"users": "path/to/users.json", "interactions": "path/to/interaction.json", "parameter": "path/to/parameter.json"}
+            db_url = {
+                "users": "AgentVerseServer/localstorage/users/users.json",
+                "interactions": "AgentVerseServer/localstorage/records/interaction.json",
+                "parameter": "AgentVerseServer/localstorage/records/parameter.json",
+            }
+        else:
+            if db_type == "sqlite":
+                # if you want to use sqlite to store data, you can set db_url to "sqlite://{}", in which {} is the absolute path of the sqlite file
+                db_url = "sqlite://"
+            if db_type == "mysql":
+                # if you want to use mysql to store data, you can set db_url to "mysql+pymysql://{}:{}@{}:{}/{}, in which {} is {db_user, db_password, db_host, db_port, db_name}
+                db_url = "mysql+pymysql://"
+            if db_type == "postgresql":
+                # if you want to use postgresql to store data, you can set db_url to "postgresql://{}:{}@{}:{}/{}"
+                db_url = ""
+
+    class Redis:
+        use_redis = False
+        redis_url = "redis://localhost"
+        redis_host = "localhost"
+        redis_port = 6379
+        redis_db = 0
+        redis_password = None
+
+    # if you want to use email to send message, you can set send_email to True and set email_host, email_port, email_user, email_password, auth_server
+    class Email:
+        send_email = False
+        email_host = ""
+        email_port = 465
+        email_user = ""
+        email_password = ""
+        auth_server = ""
+
+    # if you want to use upload function, you can set upload_dir to the path of the upload directory and set upload_allowed_types to the allowed types
+    class Upload:
+        upload_dir = "AgentVerseServer/localstorage/upload"
+        if not os.path.exists(upload_dir):
+            os.makedirs(upload_dir)
+        upload_allowed_types = [
+            "image/png",
+            "image/jpeg",
+            "image/gif",
+            "text/plain",
+            "application/msword",
+            "pdf",
+            "txt",
+            "pptx",
+            "xlsx",
+            "doc",
+            "ppt",
+            "xls",
+        ]
+
+
+if os.path.exists("AgentVerseServer/prod_server_envs.py") and AgentVerseServerEnv.prod:
+    from AgentVerseServer.prod_server_envs import AgentVerseServerEnv
diff --git a/AgentVerseServer/exts/mail_ext.py b/AgentVerseServer/exts/mail_ext.py
new file mode 100644
index 000000000..dbd817099
--- /dev/null
+++ b/AgentVerseServer/exts/mail_ext.py
@@ -0,0 +1,21 @@
+from AgentVerseServer.envs import AgentVerseServerEnv
+
+
+def email_content(user):
+    html_body = f"""
+<body style="font-family: Arial, sans-serif;background-color: #f5f5f5;margin: 0; padding: 0;">
+    <div style="background-color: #ffffff;margin: 0 auto;padding: 20px;border-radius: 10px;box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);">
+        <h1 style="font-size: 28px;margin-bottom: 20px;">Hello {user['name']},</h1>
+        <p style="font-size: 16px;line-height: 1.5;color: #333333;text-indent:2em;">Welcome to AgentVerse, your personal assistant! Thanks for signing up for AgentVerse. There are some information about your account:</p>
+        <p style="font-size: 16px;line-height: 1.5;color: #333333;text-indent:2em;">Your AgentVerse Account: <b>{user["email"]}</b></p>
+        <p style="font-size: 16px;line-height: 1.5;color: #333333;text-indent:2em;">You need to use this token for authentication on subsequent logins: </p>
+        <p style="font-size: 16px;line-height: 1.5;color: #333333;text-indent:2em;">You need to use this token for authentication on subsequent logins: </p>
+        <p style="font-size: 16px;line-height: 1.5;color: #333333;text-indent:2em;">Token: <b>{user["token"]}</b></p>
+        
+        <p style="font-size: 16px;line-height: 1.5;color: #333333;text-indent:2em;">Next is an activation link. You need to click on this link to activate your account. After that, you will be able to use AgentVerse happily:<a href="{AgentVerseServerEnv.Email.auth_server}/auth?user_id={user["user_id"]}&token={user["token"]}">{AgentVerseServerEnv.Email.auth_server}/auth?user_id={user["user_id"]}&token={user["token"]}</a>! This Verification link will expire in 7 days.</p>
+        <p>If you have any questions, please contact us at youragentverse@gmail.com .</p>
+        <p style="margin-top: 20px;font-size: 14px;color: #999999;text-indent:2em;">Best wishes!</p>
+        <p style="margin-top: 20px;font-size: 14px;color: #999999;">AgentVerse Team</p>
+    </div>
+</body>"""
+    return html_body
diff --git a/AgentVerseServer/interaction.py b/AgentVerseServer/interaction.py
new file mode 100644
index 000000000..38e948178
--- /dev/null
+++ b/AgentVerseServer/interaction.py
@@ -0,0 +1,197 @@
+import abc
+import json
+import os
+import uuid
+from datetime import datetime
+
+from AgentVerseIO.BaseIO import AgentVerseIO
+from AgentVerseServer.database import InteractionBaseInterface
+from AgentVerseServer.envs import AgentVerseServerEnv
+from AgentVerseServer.loggers.logs import Logger
+from AgentVerseServer.models.interaction import InteractionBase
+from AgentVerseServer.models.parameter import InteractionParameter
+from AgentVerseServer.models.subround import Subround
+from AgentVerseServer.models.ws import AgentVerseOutputData
+
+
+class AgentVerseInteraction(metaclass=abc.ABCMeta):
+    def __init__(
+        self,
+        base: InteractionBase,
+        parameter: InteractionParameter,
+        interrupt: bool = False,
+    ) -> None:
+        self.base = base
+        self.parameter = parameter
+        self._cache: AgentVerseOutputData = None
+
+        self.current_step = uuid.uuid4().hex
+        self.logger = None
+        self.interrupt = interrupt
+        self.log_dir = os.path.join(
+            os.path.join(
+                AgentVerseServerEnv.base_dir, "localstorage", "interact_records"
+            ),
+            datetime.now().strftime("%Y-%m-%d"),
+            self.base.interaction_id,
+        )
+        if not os.path.exists(self.log_dir):
+            os.makedirs(self.log_dir)
+
+    def to_dict(self):
+        return self.parameter.to_dict()
+
+    def to_json(self):
+        return json.dumps(self.to_dict(), indent=2, ensure_ascii=False)
+
+    def resister_logger(self, logger: Logger):
+        self.logger = logger
+        self.logger.info(f"init interaction: {self.base.interaction_id}")
+
+    def resister_io(self, io: AgentVerseIO):
+        self.io = io
+
+    def register_db(self, db: InteractionBaseInterface):
+        self.db = db
+
+    def register_recorder_root_dir(self, recorder_root_dir):
+        self.recorder_root_dir = recorder_root_dir
+
+    def init_cache(self, data: AgentVerseOutputData):
+        self._cache = data
+        self.logger.info(f"init cache")
+
+    def get_cache(self) -> dict:
+        return self._cache.to_dict() if self.data_cache is not None else {}
+
+    def save_cache(self):
+        # self.logger.info(f"save cache into mongodb")
+        with open(os.path.join(self.log_dir, "cache.json"), "w", encoding="utf-8") as f:
+            json.dump(self._cache.to_dict(), f, indent=2, ensure_ascii=False)
+
+    async def update_cache(self, update_data: dict, status="", current: str = None):
+        if status not in [
+            "start",
+            "subround",
+            "refinement",
+            "stage",
+            "finished",
+            "failed",
+        ]:
+            raise ValueError(
+                "status must be in ['start', 'subround', 'refinement', 'stage', 'finished', 'failed']"
+            )
+
+        self.current_step = uuid.uuid4().hex
+        # self.logger.typewriter_log(
+        # f"CURRENT: {self.current_step}", f"update cache, status {status}, current {current}, update_data: {update_data}")
+        # if status == "inner":
+        #     tool_name = (
+        #         update_data.get("using_tools", {}).get("tool_name", "")
+        #         if isinstance(update_data, dict)
+        #         else ""
+        #     )
+
+        #     if tool_name == "subtask_submit":
+        #         status = "subtask_submit"
+
+        push_data = {
+            "status": status,
+            "current": current,
+            "random_seed": self.current_step,
+            "data": update_data,
+        }
+
+        if status == "start":
+            # for k, v in update_data.items():
+            #     if k == "subtasks":
+            #         update_data["subtasks"] = [Subround(**subtask) for subtask in v]
+
+            # self._cache.update(update_data)
+
+            push_data = {
+                "status": status,
+                "random_seed": self.current_step,
+                "data": {
+                    k: v if k != "subtasks" else [l.to_dict() for l in v]
+                    for k, v in update_data.items()
+                },
+            }
+            self.db.update_interaction_status(
+                self.base.interaction_id,
+                status="running",
+                message="running",
+                current_step=self.current_step,
+            )
+
+        if status == "refinement":
+            if current is None:
+                raise ValueError("current must be a task_id while status is refinement")
+            if not isinstance(update_data, dict):
+                raise ValueError(
+                    "update_data must be a dict while status is refinement"
+                )
+            # sub_task = None
+            # for subtask in self._cache.subtasks:
+            #     if current == subtask.task_id:
+            #         subtask.refinement = update_data
+            #         sub_task = subtask.to_dict()
+            #         break
+            push_data = {
+                "status": status,
+                # "node_id": sub_task.get("node_id", ""),
+                # "task_id": sub_task.get("task_id", ""),
+                # "name": sub_task.get("name", ""),
+                # "args": sub_task.get("args", ""),
+                "current": current,
+                "data": update_data,
+                "random_seed": self.current_step,
+            }
+            self.db.update_interaction_status(
+                self.base.interaction_id,
+                status="running",
+                message="running",
+                current_step=self.current_step,
+            )
+
+        if status == "stage":
+            if current is None:
+                raise ValueError("current must be a task_id while status is inner")
+            if not isinstance(update_data, dict):
+                raise ValueError("update_data must be a dict while status is inner")
+
+            push_data = {
+                "status": status,
+                "current": current,
+                "data": update_data,
+                "random_seed": self.current_step,
+            }
+
+        await self.auto_send(push_data=push_data)
+        if status == "finished":
+            await self.auto_close()
+
+    async def auto_send(self, push_data):
+        # self.logger.info(f"send data: {push_data}")
+        await self.io.Output.run(push_data)
+
+    async def auto_receive(self, can_modify=None):
+        data = await self.io.Input.run(can_modify)
+        self.db.add_parameter(
+            InteractionParameter(
+                parameter_id=uuid.uuid4().hex,
+                interaction_id=self.base.interaction_id,
+                args=data.get("args", {}),
+            )
+        )
+        return data
+
+    async def auto_close(self):
+        # self.io.close()
+        self.logger.info(f"close io connection")
+        self.db.update_interaction_status(
+            self.base.interaction_id,
+            status="finished",
+            message="io connection closed",
+            current_step=self.current_step,
+        )
diff --git a/AgentVerseServer/localstorage/records/interaction.json b/AgentVerseServer/localstorage/records/interaction.json
new file mode 100644
index 000000000..52dbf4f14
--- /dev/null
+++ b/AgentVerseServer/localstorage/records/interaction.json
@@ -0,0 +1,194 @@
+[
+  {
+    "interaction_id": "f129298f-f322-4e27-bf50-1c5c24080f8c",
+    "user_id": "admin",
+    "create_time": "2023-11-22 19:09:17",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "ffd39042f9c049ca97f499f63ad81e92",
+    "update_time": "2023-11-22 19:09:18",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "2bc0d416-7c85-42b9-9702-e13b1ea18752",
+    "user_id": "admin",
+    "create_time": "2023-11-23 10:25:37",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "654188ff662242e09257bfa4c96e2785",
+    "update_time": "2023-11-23 10:25:38",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "2cb9a0a7-754f-424e-9c5b-b324b395a305",
+    "user_id": "admin",
+    "create_time": "2023-11-23 10:29:41",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "failed",
+    "message": "failed, code: 1011",
+    "current_step": "0577acd3be02461cbf4d61a7c562a82c",
+    "update_time": "2023-11-23 10:42:53",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "046bfefd-c6cd-42c5-ab7f-743e4a70ba6d",
+    "user_id": "admin",
+    "create_time": "2023-11-23 11:07:16",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "failed",
+    "message": "failed, code: 1011",
+    "current_step": "ea385c3ebc3d421f829059d36f36fcf5",
+    "update_time": "2023-11-23 11:10:21",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "d46138ac-7e84-45a9-bd99-711e2c916872",
+    "user_id": "admin",
+    "create_time": "2023-11-23 11:13:36",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "5d07b259b9314329b0137e1b61a54a99",
+    "update_time": "2023-11-23 11:13:36",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "80818f18-759a-4b0f-86a5-4efa3acd1e60",
+    "user_id": "admin",
+    "create_time": "2023-11-23 11:14:47",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "failed",
+    "message": "failed, code: 1011",
+    "current_step": "32fb6bf460b242e296183e816ce3b68d",
+    "update_time": "2023-11-23 11:17:36",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "c1d0573e-da50-4ac4-952b-ecd6b65f9138",
+    "user_id": "admin",
+    "create_time": "2023-11-23 11:23:04",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "d60437ed091341f8b738c79b7f301ae8",
+    "update_time": "2023-11-23 11:23:05",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "d8658322-7ff7-412d-8920-d03d8cebab69",
+    "user_id": "admin",
+    "create_time": "2023-11-23 11:25:29",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "f5922963e15545cfa8c18dd43bd45e42",
+    "update_time": "2023-11-23 11:25:30",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "6a081ca4-0929-4e01-98fe-1892c1d30703",
+    "user_id": "admin",
+    "create_time": "2023-11-23 11:27:09",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "4e45cfa759594200aca0b4409095a74b",
+    "update_time": "2023-11-23 11:27:09",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "6b8a7a53-596b-46d5-8e50-8912a350ab77",
+    "user_id": "admin",
+    "create_time": "2023-11-23 11:35:44",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "failed",
+    "message": "failed, code: 1011",
+    "current_step": "2e9d1e2445f34c1da602bc407fae2f02",
+    "update_time": "2023-11-23 11:42:43",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "817102cd-c753-4c07-976b-898750839f3c",
+    "user_id": "admin",
+    "create_time": "2023-11-23 11:43:57",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "f039273001ea4d619cb2eba1edd51679",
+    "update_time": "2023-11-23 11:53:46",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "f4390315-6c72-4294-9b98-1742630fac66",
+    "user_id": "admin",
+    "create_time": "2023-11-23 12:44:52",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "598077104f304b658ae0d2bfbf41c2da",
+    "update_time": "2023-11-23 12:44:53",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "b71d597d-4e62-47f6-ae75-1f43e5b97ea2",
+    "user_id": "admin",
+    "create_time": "2023-11-23 13:24:16",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "b29e0f0b39bf48b6b04e4be9d26385e5",
+    "update_time": "2023-11-23 13:33:16",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "b8914884-788c-4d01-adc2-fe48f6848e7e",
+    "user_id": "admin",
+    "create_time": "2023-11-23 14:28:23",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "failed",
+    "message": "failed, code: 1011",
+    "current_step": "db988f8373724d82bd64bdee3bf20a81",
+    "update_time": "2023-11-23 14:32:12",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "e9449b8c-df48-45c6-833c-59a5303f2986",
+    "user_id": "admin",
+    "create_time": "2023-11-23 14:56:25",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "failed",
+    "message": "failed, code: 1011",
+    "current_step": "810979f181d34f05897f3dca4b31ef58",
+    "update_time": "2023-11-23 15:04:19",
+    "is_deleted": false
+  },
+  {
+    "interaction_id": "12049de3-4d6a-4230-98ae-37faa33f328b",
+    "user_id": "admin",
+    "create_time": "2023-11-23 15:13:52",
+    "description": "Recently, it has become po",
+    "recorder_root_dir": "",
+    "status": "running",
+    "message": "running",
+    "current_step": "bb86050108994ca48e7a3f6675687c6a",
+    "update_time": "2023-11-23 15:21:57",
+    "is_deleted": false
+  }
+]
\ No newline at end of file
diff --git a/AgentVerseServer/localstorage/records/parameter.json b/AgentVerseServer/localstorage/records/parameter.json
new file mode 100644
index 000000000..8ea347b8e
--- /dev/null
+++ b/AgentVerseServer/localstorage/records/parameter.json
@@ -0,0 +1,432 @@
+{
+  "f129298f-f322-4e27-bf50-1c5c24080f8c": [
+    {
+      "interaction_id": "f129298f-f322-4e27-bf50-1c5c24080f8c",
+      "parameter_id": "2a800e51c3ae48f8bcab060d9251837c",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ],
+  "2bc0d416-7c85-42b9-9702-e13b1ea18752": [
+    {
+      "interaction_id": "2bc0d416-7c85-42b9-9702-e13b1ea18752",
+      "parameter_id": "f9c7b90bf0ad4f6f898956f314b89d3f",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ],
+  "2cb9a0a7-754f-424e-9c5b-b324b395a305": [
+    {
+      "interaction_id": "2cb9a0a7-754f-424e-9c5b-b324b395a305",
+      "parameter_id": "1256a90ab59a4e719a8fd4f3f72c374e",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    },
+    {
+      "interaction_id": "2cb9a0a7-754f-424e-9c5b-b324b395a305",
+      "parameter_id": "20f0d5c09cf94382a0ae68fd4e7848a6",
+      "args": {}
+    }
+  ],
+  "046bfefd-c6cd-42c5-ab7f-743e4a70ba6d": [
+    {
+      "interaction_id": "046bfefd-c6cd-42c5-ab7f-743e4a70ba6d",
+      "parameter_id": "e4d2b7dbc9e34f08a52ebd4541d72989",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    },
+    {
+      "interaction_id": "046bfefd-c6cd-42c5-ab7f-743e4a70ba6d",
+      "parameter_id": "47175e173bc94a26ab9895f9d3aa4894",
+      "args": {}
+    }
+  ],
+  "d46138ac-7e84-45a9-bd99-711e2c916872": [
+    {
+      "interaction_id": "d46138ac-7e84-45a9-bd99-711e2c916872",
+      "parameter_id": "9f96f3366ae445eebee81d1558bb6ba8",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ],
+  "80818f18-759a-4b0f-86a5-4efa3acd1e60": [
+    {
+      "interaction_id": "80818f18-759a-4b0f-86a5-4efa3acd1e60",
+      "parameter_id": "b648d65c49424c4c84c198d39c767d45",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    },
+    {
+      "interaction_id": "80818f18-759a-4b0f-86a5-4efa3acd1e60",
+      "parameter_id": "c7f1188f35754f0cb7f99753255d065f",
+      "args": {}
+    }
+  ],
+  "c1d0573e-da50-4ac4-952b-ecd6b65f9138": [
+    {
+      "interaction_id": "c1d0573e-da50-4ac4-952b-ecd6b65f9138",
+      "parameter_id": "cc6584253b0a4bc7a794da6c64d3fff8",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ],
+  "d8658322-7ff7-412d-8920-d03d8cebab69": [
+    {
+      "interaction_id": "d8658322-7ff7-412d-8920-d03d8cebab69",
+      "parameter_id": "57266f645ea54f38a1f32f12a64af607",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ],
+  "6a081ca4-0929-4e01-98fe-1892c1d30703": [
+    {
+      "interaction_id": "6a081ca4-0929-4e01-98fe-1892c1d30703",
+      "parameter_id": "3b928bc921194b1e99ffe031faa954e8",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ],
+  "6b8a7a53-596b-46d5-8e50-8912a350ab77": [
+    {
+      "interaction_id": "6b8a7a53-596b-46d5-8e50-8912a350ab77",
+      "parameter_id": "880d21d2863c45b990e33bc6017b51ed",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    },
+    {
+      "interaction_id": "6b8a7a53-596b-46d5-8e50-8912a350ab77",
+      "parameter_id": "332015bbd83d44ff86ccf954475d324d",
+      "args": {}
+    }
+  ],
+  "817102cd-c753-4c07-976b-898750839f3c": [
+    {
+      "interaction_id": "817102cd-c753-4c07-976b-898750839f3c",
+      "parameter_id": "7b643f48c26e4f928a1c5a2896114ec0",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ],
+  "f4390315-6c72-4294-9b98-1742630fac66": [
+    {
+      "interaction_id": "f4390315-6c72-4294-9b98-1742630fac66",
+      "parameter_id": "bd7ea3849d8745079ccadc4be6184ed8",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ],
+  "b71d597d-4e62-47f6-ae75-1f43e5b97ea2": [
+    {
+      "interaction_id": "b71d597d-4e62-47f6-ae75-1f43e5b97ea2",
+      "parameter_id": "f7d3686084094a20a67921e866c3fa24",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ],
+  "b8914884-788c-4d01-adc2-fe48f6848e7e": [
+    {
+      "interaction_id": "b8914884-788c-4d01-adc2-fe48f6848e7e",
+      "parameter_id": "72312018491e4a58ae3f5423602e9fd2",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    },
+    {
+      "interaction_id": "b8914884-788c-4d01-adc2-fe48f6848e7e",
+      "parameter_id": "8df21fa3cdc24347864fd5ba517edcef",
+      "args": {}
+    }
+  ],
+  "e9449b8c-df48-45c6-833c-59a5303f2986": [
+    {
+      "interaction_id": "e9449b8c-df48-45c6-833c-59a5303f2986",
+      "parameter_id": "9757b96be8f945b58c4f340fd3895f7a",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    },
+    {
+      "interaction_id": "e9449b8c-df48-45c6-833c-59a5303f2986",
+      "parameter_id": "ba147a7c62994a9ebe169aa25f6d6ea7",
+      "args": {}
+    }
+  ],
+  "12049de3-4d6a-4230-98ae-37faa33f328b": [
+    {
+      "interaction_id": "12049de3-4d6a-4230-98ae-37faa33f328b",
+      "parameter_id": "5a88233b53ae4286b959c1d7837c0adf",
+      "args": {
+        "goal": {
+          "_object": {
+            "history": {},
+            "historyArr": [],
+            "sharedArr": [],
+            "currentInput": {
+              "task_des": "Recently, it has become popular in the AI field to verify the mathematical reasoning abilities of large language models by observing if they can solve the \"24-Point Game.\" What is this game? Does it have a code-based solution? If it does, provide a Python code along with test cases and test its functionality. What are some other similar games that can be used to test the models' mathematical reasoning abilities?",
+              "cnt_agents": "3"
+            },
+            "isRequestingAi": false,
+            "msgInfoList": [],
+            "setting": {},
+            "isShouldRefreshHistory": false
+          },
+          "_key": "currentInput",
+          "__v_isRef": true
+        }
+      }
+    }
+  ]
+}
\ No newline at end of file
diff --git a/AgentVerseServer/localstorage/users/users.json b/AgentVerseServer/localstorage/users/users.json
new file mode 100644
index 000000000..b93b6f03e
--- /dev/null
+++ b/AgentVerseServer/localstorage/users/users.json
@@ -0,0 +1,15 @@
+[
+  {
+    "user_id": "admin",
+    "email": "admin",
+    "token": "agentverse-admin",
+    "name": "admin",
+    "available": true,
+    "create_time": "2023-10-27 14:31:09",
+    "update_time": "2023-10-27 14:31:09",
+    "corporation": "agentverse",
+    "industry": "AI",
+    "position": "agentverse",
+    "deleted": false
+  }
+]
\ No newline at end of file
diff --git a/AgentVerseServer/loggers/logs.py b/AgentVerseServer/loggers/logs.py
new file mode 100644
index 000000000..ceeb59ff3
--- /dev/null
+++ b/AgentVerseServer/loggers/logs.py
@@ -0,0 +1,256 @@
+import abc
+import json
+import logging
+import os
+import random
+import re
+import time
+import uuid
+from logging import LogRecord
+from typing import Any
+
+from colorama import Fore, Style
+
+class JsonFileHandler(logging.FileHandler):
+    def __init__(self, filename, mode="a", encoding=None, delay=False):
+        super().__init__(filename, mode, encoding, delay)
+
+    def emit(self, record):
+        json_data = json.loads(self.format(record))
+        with open(self.baseFilename, "w", encoding="utf-8") as f:
+            json.dump(json_data, f, ensure_ascii=False, indent=4)
+
+
+class JsonFormatter(logging.Formatter):
+    def format(self, record):
+        return record.msg
+
+class Logger(metaclass=abc.ABCMeta):
+    """
+    Logger that handle titles in different colors.
+    Outputs logs in console, activity.log, and errors.log
+    For console handler: simulates typing
+    """
+
+    def __init__(self, log_dir: str = None, log_name: str= "", log_file: str = "activity.log", error_file: str = "errors.log"):
+
+        if not os.path.exists(log_dir):
+            os.makedirs(log_dir)
+
+        # create log directory if it doesn't exist
+        self.log_name = time.strftime("%Y-%m-%d", time.localtime()) if not log_name else log_name
+        self.logger = logging.getLogger(self.log_name)
+        console_formatter = RecordFormatter("%(title_color)s %(message)s")
+
+        # Create a handler for console which simulate typing
+        self.typing_console_handler = TypingConsoleHandler()
+        self.typing_console_handler.setLevel(logging.INFO)
+        self.typing_console_handler.setFormatter(console_formatter)
+
+        # Create a handler for console without typing simulation
+        self.console_handler = ConsoleHandler()
+        self.console_handler.setLevel(logging.DEBUG)
+        self.console_handler.setFormatter(console_formatter)
+
+        
+        self.speak_mode = False
+        self.chat_plugins = []
+
+        # Info handler in activity.log
+        self.file_handler = logging.FileHandler(
+            os.path.join(log_dir, log_file), "a", "utf-8"
+        )
+        self.file_handler.setLevel(logging.DEBUG)
+        info_formatter = RecordFormatter(
+            "%(asctime)s [%(threadName)s] %(levelname)s: %(title)s %(message)s"
+        )
+        self.file_handler.setFormatter(info_formatter)
+
+        # Error handler error.log
+        error_handler = logging.FileHandler(
+            os.path.join(log_dir, error_file), "a", "utf-8"
+        )
+        error_handler.setLevel(logging.ERROR)
+        error_formatter = RecordFormatter(
+            "%(asctime)s [%(threadName)s] %(levelname)s %(module)s:%(funcName)s:%(lineno)d %(title)s"
+            " %(message_no_color)s"
+        )
+        error_handler.setFormatter(error_formatter)
+
+        # self.typing_logger = logging.getLogger(self.log_name)
+        # if not self.typing_logger.handlers:
+        #     self.typing_logger.addHandler(self.typing_console_handler)
+        #     self.typing_logger.addHandler(self.file_handler)
+        #     self.typing_logger.addHandler(error_handler)
+        # self.typing_logger.setLevel(logging.DEBUG)
+
+        if self.log_name.endswith("_INTERACT") or not self.logger.handlers:
+            # self.logger.addHandler(self.typing_console_handler)
+            self.logger.addHandler(self.console_handler)
+            self.logger.addHandler(error_handler)
+            self.logger.addHandler(self.file_handler)
+            self.logger.setLevel(logging.DEBUG)
+    
+
+    def typewriter_log(
+        self, title="", title_color="", content="", speak_text=False, level=logging.INFO
+    ):
+        # if speak_text and self.speak_mode:
+        #     say_text(f"{title}. {content}")
+
+        for plugin in self.chat_plugins:
+            plugin.report(f"{title}. {content}")
+
+        if content:
+            if isinstance(content, list):
+                content = " ".join(content)
+        else:
+            content = ""
+
+        self.logger.log(
+            level, content, extra={"title": title, "color": title_color}
+        )
+
+    def debug(
+        self,
+        message,
+        title="",
+        title_color="",
+    ):
+        self._log(title, title_color, message, logging.DEBUG)
+
+    def info(
+        self,
+        message,
+        title="",
+        title_color="",
+    ):
+        self._log(title, title_color, message, logging.INFO)
+
+    def warn(
+        self,
+        message,
+        title="",
+        title_color="",
+    ):
+        self._log(title, title_color, message, logging.WARN)
+
+    def error(self, title, message=""):
+        self._log(title, Fore.RED, message, logging.ERROR)
+
+    def _log(
+        self,
+        title: str = "",
+        title_color: str = "",
+        message: str = "",
+        level=logging.INFO,
+    ):
+        if message:
+            if isinstance(message, list):
+                message = " ".join(message)
+        self.logger.log(
+            level, message, extra={"title": str(title), "color": str(title_color)}
+        )
+
+    def set_level(self, level):
+        self.logger.setLevel(level)
+        self.typing_logger.setLevel(level)
+
+    def double_check(self, additionalText=None):
+        if not additionalText:
+            additionalText = (
+                "Please ensure you've setup and configured everything"
+                " correctly. Read https://github.com/Torantulino/Auto-GPT#readme to "
+                "double check. You can also create a github issue or join the discord"
+                " and ask there!"
+            )
+
+        self.typewriter_log("DOUBLE CHECK CONFIGURATION", Fore.YELLOW, additionalText)
+
+    def log_json(self, data: Any, file_name: str) -> None:
+        # Define log directory
+        this_files_dir_path = os.path.dirname(__file__)
+        log_dir = os.path.join(this_files_dir_path, "../logs")
+
+        # Create a handler for JSON files
+        json_file_path = os.path.join(log_dir, file_name)
+        json_data_handler = JsonFileHandler(json_file_path)
+        json_data_handler.setFormatter(JsonFormatter())
+
+        # Log the JSON data using the custom file handler
+        self.json_logger.addHandler(json_data_handler)
+        self.json_logger.debug(data)
+        self.json_logger.removeHandler(json_data_handler)
+
+    def get_log_directory(self):
+        this_files_dir_path = os.path.dirname(__file__)
+        log_dir = os.path.join(this_files_dir_path, "../logs")
+        return os.path.abspath(log_dir)
+
+
+"""
+Output stream to console using simulated typing
+"""
+
+
+class TypingConsoleHandler(logging.StreamHandler):
+    def emit(self, record):
+        min_typing_speed = 0.05
+        max_typing_speed = 0.01
+
+        msg = self.format(record)
+        try:
+            words = msg.split()
+            for i, word in enumerate(words):
+                print(word, end="", flush=True)
+                if i < len(words) - 1:
+                    print(" ", end="", flush=True)
+                typing_speed = random.uniform(min_typing_speed, max_typing_speed)
+                time.sleep(typing_speed)
+                # type faster after each word
+                min_typing_speed = min_typing_speed * 0.95
+                max_typing_speed = max_typing_speed * 0.95
+            print()
+        except Exception:
+            self.handleError(record)
+
+
+class ConsoleHandler(logging.StreamHandler):
+    def emit(self, record) -> None:
+        msg = self.format(record)
+        try:
+            print(msg)
+        except Exception:
+            self.handleError(record)
+
+
+class RecordFormatter(logging.Formatter):
+    """
+    Allows to handle custom placeholders 'title_color' and 'message_no_color'.
+    To use this formatter, make sure to pass 'color', 'title' as log extras.
+    """
+
+    def format(self, record: LogRecord) -> str:
+        if hasattr(record, "color"):
+            record.title_color = (
+                getattr(record, "color")
+                + getattr(record, "title", "")
+                + " "
+                + Style.RESET_ALL
+            )
+        else:
+            record.title_color = getattr(record, "title", "")
+
+        # Add this line to set 'title' to an empty string if it doesn't exist
+        record.title = getattr(record, "title", "")
+
+        if hasattr(record, "msg"):
+            record.message_no_color = remove_color_codes(getattr(record, "msg"))
+        else:
+            record.message_no_color = ""
+        return super().format(record)
+
+
+def remove_color_codes(s: str) -> str:
+    ansi_escape = re.compile(r"\x1B(?:[@-Z\\-_]|\[[0-?]*[ -/]*[@-~])")
+    return ansi_escape.sub("", s)
diff --git a/AgentVerseServer/manager.py b/AgentVerseServer/manager.py
new file mode 100644
index 000000000..05f048ad7
--- /dev/null
+++ b/AgentVerseServer/manager.py
@@ -0,0 +1,86 @@
+from __future__ import annotations
+
+import asyncio
+import os
+import threading
+from typing import Dict, List
+
+from fastapi import WebSocket, WebSocketDisconnect, status
+
+from AgentVerseIO.exception import (
+    AgentVerseIOWebSocketReceiveError,
+    AgentVerseIOWebSocketSendError,
+)
+from AgentVerseServer.envs import AgentVerseServerEnv
+from AgentVerseServer.loggers.logs import Logger
+from AgentVerseServer.response_body import WebsocketResponseBody
+
+
+class Singleton(type):
+    _instances = {}
+
+    def __call__(cls, *args, **kwargs):
+        if cls not in cls._instances:
+            cls._instances[cls] = super().__call__(*args, **kwargs)
+        return cls._instances[cls]
+
+
+class WebSocketConnectionManager(metaclass=Singleton):
+    def __init__(self):
+        self.active_connections: List[Dict[str, WebSocket]] = []
+        self.logger = Logger(
+            log_dir=os.path.join(AgentVerseServerEnv.base_dir, "logs"),
+            log_file="websocket.log",
+        )
+
+        self.create_pong_task()
+
+    async def connect(self, websocket: WebSocket, websocket_id: str):
+        await websocket.accept()
+        self.logger.info(f"websocket {websocket_id} connected")
+        self.active_connections.append({websocket_id: websocket})
+
+    async def disconnect(self, websocket_id: str, websocket: WebSocket):
+        self.active_connections.remove({websocket_id: websocket})
+        self.logger.info(f"websocket {websocket_id} remove from active connections")
+
+    def is_connected(self, websocket_id: str) -> bool:
+        for connection in self.active_connections:
+            if websocket_id in connection.keys():
+                return True
+        return False
+
+    def get_connection(self, websocket_id: str) -> WebSocket:
+        for connection in self.active_connections:
+            if websocket_id in connection.keys():
+                return connection[websocket_id]
+        return None
+
+    async def broadcast_pong(self):
+        while True:
+            self.logger.info(
+                f"pong broadcast for active connections: {len(self.active_connections)}"
+            )
+
+            # for connection in self.active_connections:
+            #     for websocket_id, websocket in connection.items():
+            #         # websocket.websocket_timeout = 15
+            #         try:
+            #             await websocket.send_text(
+            #                 WebsocketResponseBody(
+            #                     status="pong", data={"type": "pong"}, message="pong"
+            #                 ).to_text()
+            #             )
+            #         except Exception as e:
+            #             # self.logger.error(f"websocket {websocket_id} is disconnected")
+            #             # self.active_connections.remove(connection)
+            #             continue
+            await asyncio.sleep(40)
+
+    def loop_pong(self):
+        asyncio.run(self.broadcast_pong())
+
+    def create_pong_task(self):
+        self.logger.info("Create task for pong broadcast")
+        pong = threading.Thread(target=self.loop_pong, daemon=True)
+        pong.start()
diff --git a/AgentVerseServer/models/interaction.py b/AgentVerseServer/models/interaction.py
new file mode 100644
index 000000000..4e2b20425
--- /dev/null
+++ b/AgentVerseServer/models/interaction.py
@@ -0,0 +1,72 @@
+"""
+"""
+
+import abc
+import json
+
+
+class InteractionBase(metaclass=abc.ABCMeta):
+    def __init__(
+        self,
+        interaction_id: str,
+        user_id: str,
+        create_time: str,
+        description: str,
+        recorder_root_dir: str = "",
+        status: str = "",
+        message: str = "",
+        current_step: str = "",
+        update_time: str = "",
+        is_deleted: bool = False,
+    ):
+        self.interaction_id = interaction_id
+        self.user_id = user_id
+        self.create_time = create_time
+        self.description = description
+        self.recorder_root_dir = recorder_root_dir
+        self.status = status
+        self.message = message
+        self.current_step = current_step
+        self.update_time = update_time
+        self.is_deleted = is_deleted
+
+    def to_dict(self, include=None, exclude=None):
+        data = {
+            "interaction_id": self.interaction_id,
+            "user_id": self.user_id,
+            "create_time": self.create_time,
+            "description": self.description,
+            "recorder_root_dir": self.recorder_root_dir,
+            "status": self.status,
+            "message": self.message,
+            "current_step": self.current_step,
+            "update_time": self.update_time,
+            "is_deleted": self.is_deleted,
+        }
+        if include:
+            data = {k: v for k, v in data.items() if k in include}
+        if exclude:
+            data = {k: v for k, v in data.items() if k not in exclude}
+        return data
+
+    def to_json(self):
+        return json.dumps(self.to_dict(), indent=2, ensure_ascii=False)
+
+    @classmethod
+    def from_json(cls, json_data):
+        return cls(**json_data)
+
+    @classmethod
+    def from_db(cls, interaction):
+        return cls(
+            interaction.interaction_id,
+            interaction.user_id,
+            interaction.create_time,
+            interaction.description,
+            interaction.recorder_root_dir,
+            interaction.status,
+            interaction.message,
+            interaction.current_step,
+            interaction.update_time,
+            interaction.is_deleted,
+        )
diff --git a/AgentVerseServer/models/node.py b/AgentVerseServer/models/node.py
new file mode 100644
index 000000000..1c1c50328
--- /dev/null
+++ b/AgentVerseServer/models/node.py
@@ -0,0 +1,35 @@
+import abc
+import json
+import uuid
+
+
+class Node(metaclass=abc.ABCMeta):
+    def __init__(
+        self,
+        thoughts: str,
+        using_tools: str,
+        is_last: bool = False,
+        node_id: str = None,
+    ):
+        if node_id is None:
+            self.node_id = uuid.uuid4().hex
+        else:
+            self.node_id = node_id
+        self.thoughts = thoughts
+        self.using_tools = using_tools
+        self.is_last = is_last
+
+    def to_dict(self):
+        return {
+            "node_id": self.node_id,
+            "thoughts": self.thoughts,
+            "using_tools": self.using_tools,
+            "is_last": self.is_last,
+        }
+
+    def to_json(self):
+        return json.dumps(self.to_dict(), indent=2, ensure_ascii=False)
+
+    @classmethod
+    def from_json(cls, json_data):
+        return cls(**json_data)
diff --git a/AgentVerseServer/models/parameter.py b/AgentVerseServer/models/parameter.py
new file mode 100644
index 000000000..a4137ef52
--- /dev/null
+++ b/AgentVerseServer/models/parameter.py
@@ -0,0 +1,35 @@
+import abc
+import json
+from typing import Union
+
+
+class InteractionParameter(metaclass=abc.ABCMeta):
+    def __init__(self,
+                    interaction_id: str,
+                    parameter_id: str,
+                    args: Union[str, dict, None] = None
+                    ):
+        self.interaction_id = interaction_id
+        self.args = args
+        self.parameter_id = parameter_id
+
+    def to_dict(self):
+        return {
+            "interaction_id": self.interaction_id,
+            "parameter_id": self.parameter_id,
+            "args": self.args,
+        }
+
+    def to_json(self):
+        return json.dumps(self.to_dict(), indent=2, ensure_ascii=False)
+
+    @classmethod
+    def from_json(cls, json_data):
+        return cls(**json_data)
+    
+    @classmethod
+    def from_db(cls, interaction):
+        return cls(interaction.interaction_id,
+                    interaction.parameter_id,
+                    interaction.args
+                    )
\ No newline at end of file
diff --git a/AgentVerseServer/models/shared_interaction.py b/AgentVerseServer/models/shared_interaction.py
new file mode 100644
index 000000000..68846fd15
--- /dev/null
+++ b/AgentVerseServer/models/shared_interaction.py
@@ -0,0 +1,69 @@
+"""
+"""
+
+import abc
+import json
+
+
+class SharedInteractionBase(metaclass=abc.ABCMeta):
+    def __init__(self,
+                interaction_id: str,
+                user_name: str,
+                create_time: str,
+                update_time: str,
+                description: str,
+                agent: str = "",
+                mode: str = "",
+                is_deleted: bool = False,
+                star: int = 0,
+                record_dir: str = "",
+                ):
+        self.interaction_id = interaction_id
+        self.user_name = user_name
+        self.create_time = create_time
+        self.update_time = update_time
+        self.description = description
+        self.agent = agent
+        self.mode = mode
+        self.is_deleted = is_deleted
+        self.star = star
+        self.record_dir = record_dir
+
+    def to_dict(self, include=None, exclude=None):
+        data = {
+            "interaction_id": self.interaction_id,
+            "user_name": self.user_name,
+            "create_time": self.create_time,
+            "update_time": self.update_time,
+            "description": self.description,
+            "agent": self.agent,
+            "mode": self.mode,
+            "is_deleted": self.is_deleted,
+            "star": self.star,
+            "record_dir": self.record_dir,
+        }
+        if include:
+            data = {k: v for k, v in data.items() if k in include}
+        if exclude:
+            data = {k: v for k, v in data.items() if k not in exclude}
+        return data
+        
+    
+    def to_json(self):
+        return json.dumps(self.to_dict(), indent=2, ensure_ascii=False)
+    
+    @classmethod
+    def from_db(cls, interaction):
+        return cls(interaction.interaction_id,
+                   interaction.user_name,
+                   interaction.create_time,
+                   interaction.update_time,
+                   interaction.description,
+                   interaction.agent,
+                   interaction.mode,
+                   interaction.is_deleted,
+                   interaction.star,
+                   interaction.record_dir,
+                   )
+        
+        
\ No newline at end of file
diff --git a/AgentVerseServer/models/subround.py b/AgentVerseServer/models/subround.py
new file mode 100644
index 000000000..a6dc63445
--- /dev/null
+++ b/AgentVerseServer/models/subround.py
@@ -0,0 +1,66 @@
+import abc
+import json
+import uuid
+from AgentVerseServer.models.node import Node
+
+
+class Subround(metaclass=abc.ABCMeta):
+    def __init__(
+        self,
+        name: str = "",
+        goal: str = "",
+        exceute_status: str = "",
+        task_id: str = "",
+        recruitment: list = None,
+        decision_make: list = None,
+        aciton_exectuion: list = None,
+        evaluation: list = None,
+        node_id: str = None,
+        refinement: dict = None,
+    ):
+        self.name = name
+        self.goal = goal
+        self.task_id = task_id
+        self.exceute_status = exceute_status
+        self.recruitment = recruitment
+        self.decision_make = decision_make
+        self.aciton_exectuion = aciton_exectuion
+        self.evaluation = evaluation
+        self.refinement = refinement
+        if node_id is None:
+            self.node_id = uuid.uuid4().hex
+        else:
+            self.node_id = node_id
+
+    def to_dict(self):
+        return {
+            "node_id": self.node_id,
+            "task_id": self.task_id,
+            "name": self.name,
+            "goal": self.goal,
+            "exceute_status": self.exceute_status,
+            "refinement": self.refinement,
+            "recruitment": [
+                node.to_dict() if isinstance(node, Node) else node
+                for node in self.recruitment
+            ],
+            "decision_makes": [
+                node.to_dict() if isinstance(node, Node) else node
+                for node in self.decision_make
+            ],
+            "aciton_exectuion": [
+                node.to_dict() if isinstance(node, Node) else node
+                for node in self.aciton_exectuion
+            ],
+            "evaluation": [
+                node.to_dict() if isinstance(node, Node) else node
+                for node in self.evaluation
+            ],
+        }
+
+    def to_json(self):
+        return json.dumps(self.to_dict(), indent=2, ensure_ascii=False)
+
+    @classmethod
+    def from_json(cls, json_data):
+        return cls(**json_data)
diff --git a/AgentVerseServer/models/user.py b/AgentVerseServer/models/user.py
new file mode 100644
index 000000000..114d4d7c6
--- /dev/null
+++ b/AgentVerseServer/models/user.py
@@ -0,0 +1,100 @@
+import abc
+import json
+
+from AgentVerseServer.database.models import User
+
+
+class AgentVerseUser(metaclass=abc.ABCMeta):
+    def __init__(
+        self,
+        user_id: str,
+        email: str,
+        name: str,
+        token: str,
+        available: bool = True,
+        corporation: str = None,
+        industry: str = None,
+        position: str = None,
+        create_time: str = None,
+        update_time: str = None,
+        deleted: bool = False,
+    ):
+        self.user_id = user_id
+        self.email = email
+        self.name = name
+        self.token = token
+        self.available = available
+        self.corporation = corporation
+        self.industry = industry
+        self.position = position
+        self.create_time = create_time
+        self.update_time = update_time
+        self.deleted = deleted
+
+    def to_dict(self):
+        return {
+            "user_id": self.user_id,
+            "email": self.email,
+            "name": self.name,
+            "token": self.token,
+            "available": self.available,
+            "corporation": self.corporation,
+            "industry": self.industry,
+            "position": self.position,
+            "create_time": self.create_time,
+            "update_time": self.update_time,
+            "deleted": self.deleted,
+        }
+
+    def to_json(self):
+        return json.dumps(self.to_dict(), indent=2, ensure_ascii=False)
+
+    @staticmethod
+    def from_dict(user_dict: dict):
+        return AgentVerseUser(
+            user_id=user_dict["user_id"],
+            email=user_dict["email"],
+            name=user_dict["name"],
+            token=user_dict["token"],
+            available=user_dict["available"],
+            corporation=user_dict["corporation"],
+            industry=user_dict["industry"],
+            position=user_dict["position"],
+            create_time=user_dict["create_time"],
+            update_time=user_dict["update_time"],
+            deleted=user_dict["deleted"],
+        )
+
+    @staticmethod
+    def from_json(user_json: str):
+        return AgentVerseUser.from_dict(json.loads(user_json))
+
+    def is_available(self):
+        return self.available
+
+    @staticmethod
+    def from_db(user: User):
+        user_id = user.user_id
+        email = user.email
+        name = user.name
+        token = user.token
+        available = user.available
+        corporation = user.corporation
+        industry = user.industry
+        position = user.position
+        create_time = user.create_time
+        update_time = user.update_time
+        deleted = user.deleted
+        return AgentVerseUser(
+            user_id=user_id,
+            email=email,
+            name=name,
+            token=token,
+            available=available,
+            corporation=corporation,
+            industry=industry,
+            position=position,
+            create_time=create_time,
+            update_time=update_time,
+            deleted=deleted,
+        )
diff --git a/AgentVerseServer/models/ws.py b/AgentVerseServer/models/ws.py
new file mode 100644
index 000000000..8dfed4e7e
--- /dev/null
+++ b/AgentVerseServer/models/ws.py
@@ -0,0 +1,47 @@
+import abc
+import json
+import uuid
+
+from AgentVerseServer.models.subround import Subround
+
+
+class AgentVerseOutputData(metaclass=abc.ABCMeta):
+    def __init__(
+        self,
+        task_id: str,
+        name: str,
+        goal: str,
+        subrounds: None,
+        node_id: str = None,
+    ):
+        if subrounds is None:
+            subrounds = []
+        self.name = name
+        self.goal = goal
+        self.task_id = task_id
+        self.subrounds = subrounds
+        if node_id is None:
+            self.node_id = uuid.uuid4().hex
+        else:
+            self.node_id = node_id
+
+    def to_dict(self):
+        return {
+            "task_id": self.task_id,
+            "node_id": self.node_id,
+            "name": self.name,
+            "goal": self.goal,
+            "subrounds": [subround.to_dict() for subround in self.subrounds],
+        }
+
+    def to_json(self):
+        return json.dumps(self.to_dict(), indent=2, ensure_ascii=False)
+
+    @classmethod
+    def from_json(cls, json_data):
+        return cls(**json_data)
+
+    def update(self, update_data: dict):
+        for k, v in update_data.items():
+            setattr(self, k, v)
+        return self
diff --git a/AgentVerseServer/nginx/nginx.conf b/AgentVerseServer/nginx/nginx.conf
new file mode 100644
index 000000000..9202e604a
--- /dev/null
+++ b/AgentVerseServer/nginx/nginx.conf
@@ -0,0 +1,80 @@
+user root;
+worker_processes auto;
+pid /run/nginx.pid;
+include /etc/nginx/modules-enabled/*.conf;
+
+events {
+	worker_connections 768;
+}
+
+error_log /var/log/nginx/error.log warn;
+
+http {
+	sendfile on;
+	tcp_nopush on;
+	client_max_body_size 1024m;
+	tcp_nodelay on;
+	keepalive_timeout 65;
+	types_hash_max_size 2048;
+
+	map $http_upgrade $connection_upgrade {
+            default          keep-alive;  #默认为keep-alive 可以支持 一般http请求
+            'websocket'      upgrade;     #如果为websocket 则为 upgrade 可升级的。
+
+        }
+
+	log_format detailreq escape=json '{ "@timestamp": "$time_iso8601", '
+				   '"remote_addr": "$remote_addr",'
+				   '"costime": "$request_time",'
+				   '"realtime": "$upstream_response_time",'
+				   '"status": $status,'
+				   '"x_forwarded": "$http_x_forwarded_for",'
+				   '"referer": "$http_referer",'
+				   '"request": "$request",'
+				   '"upstr_addr": "$upstream_addr",'
+				   '"bytes":$body_bytes_sent,'
+				   '"agent": "$http_user_agent" }';
+
+	access_log /var/log/nginx/access.log detailreq;
+
+	error_log /var/log/nginx/error.log;
+
+	include /etc/nginx/mime.types;
+	default_type application/octet-stream;
+
+
+	ssl_protocols TLSv1 TLSv1.1 TLSv1.2 TLSv1.3; # Dropping SSLv3, ref: POODLE
+	ssl_prefer_server_ciphers on;
+
+	gzip on;
+
+	include /etc/nginx/conf.d/*.conf;
+	include /etc/nginx/sites-enabled/*;
+
+	# agentverse
+    server {
+        listen       5173;
+        server_name  127.0.0.1;
+        #此处是前端的请求
+        location / {
+            root /app/dist;
+			index  index.html;
+			try_files $uri $uri/ /index.html;
+        }
+        #动态请求 这个是后端的请求
+        location /api {
+            proxy_pass http://127.0.0.1:8090;
+            proxy_set_header Host $host;
+            rewrite "^/api/(.*)$" /$1 break;
+        }
+		location ^~ /ws {
+	    	proxy_pass http://127.0.0.1:8090/ws;
+            proxy_set_header Host $host;
+	    	proxy_set_header Upgrade $http_upgrade;
+            proxy_set_header Connection $connection_upgrade;
+		}
+
+        # Load configuration files for the default server block.
+        include /etc/nginx/default.d/*.conf;
+    }
+}
diff --git a/AgentVerseServer/request_body.py b/AgentVerseServer/request_body.py
new file mode 100644
index 000000000..1d900a229
--- /dev/null
+++ b/AgentVerseServer/request_body.py
@@ -0,0 +1,34 @@
+import re
+from typing import Optional, Union
+from fastapi import Form
+from pydantic import BaseModel, validator
+from typing import Union
+class User(BaseModel):
+    email: str
+    token: Union[str, None] = None
+
+    @validator("email")
+    def email_is_valid(cls, v):
+        if v == "":
+            raise ValueError("email is empty")
+        if re.match(r"[^@]+@[^@]+\.[^@]+", v) == None:
+            raise ValueError("email is invalid")
+        
+        return v
+    
+
+
+    # @validator("email")
+    # def email_is_valid(cls, v):
+    #     if v == "":
+    #         raise ValueError("email is empty")
+    #     if re.match(r"[^@]+@[^@]+\.[^@]+", v) == None:
+    #         raise ValueError("email is invalid")
+        
+    #     return v
+
+
+class RequestBody(BaseModel):
+    token: str
+    query: str
+    mode: str
diff --git a/AgentVerseServer/requirements.txt b/AgentVerseServer/requirements.txt
new file mode 100644
index 000000000..54e12a614
--- /dev/null
+++ b/AgentVerseServer/requirements.txt
@@ -0,0 +1,18 @@
+uvicorn
+fastapi
+yagmail
+inputimeout
+sqlalchemy
+python-multipart
+colorama
+json5
+func_timeout
+openai
+regex
+jsonschema
+tiktoken
+tenacity
+pinecone-client
+python-dotenv
+markdown2
+websockets
\ No newline at end of file
diff --git a/AgentVerseServer/response_body.py b/AgentVerseServer/response_body.py
new file mode 100644
index 000000000..9b348f4c8
--- /dev/null
+++ b/AgentVerseServer/response_body.py
@@ -0,0 +1,35 @@
+import json
+from typing import Optional, Union
+
+from pydantic import BaseModel, Json
+
+
+class ResponseBody(BaseModel):
+    data: Union[str, dict, list, Json, None] = None
+    success: bool = True
+    message: Union[str, None] = None
+
+    def to_dict(self):
+        return self.dict()
+    
+    def to_json(self):
+        return self.json()
+    
+
+class WebsocketResponseBody():
+    def __init__(self, data: Union[str, dict, list, Json, None], status: str = "success", message: Union[str, None] = None, **kwargs):
+        self.data = data
+        self.status = status
+        self.message = message
+        self.extend(kwargs)
+
+    
+    def to_text(self):
+        return json.dumps(self.__dict__, ensure_ascii=False, indent=2)
+    
+
+    def extend(self, extend: dict):
+        for key, value in extend.items():
+            if key not in self.__dict__.keys():
+                self.__dict__[key] = value
+
diff --git a/AgentVerseServer/server.py b/AgentVerseServer/server.py
new file mode 100644
index 000000000..b8e3c3a7a
--- /dev/null
+++ b/AgentVerseServer/server.py
@@ -0,0 +1,46 @@
+import json
+import os
+import traceback
+
+from colorama import Fore
+
+from AgentVerseServer.envs import AgentVerseServerEnv
+from AgentVerseServer.interaction import AgentVerseInteraction
+from agentverse.logging import Logger
+
+# from AgentVerseServer.manager import manager
+from AgentVerseServer.response_body import WebsocketResponseBody
+
+
+class AgentVerseServer:
+    def __init__(self) -> None:
+        self.logger: Logger = None
+
+    def set_logger(self, logger):
+        self.logger = logger
+
+    async def interact(self, interaction: AgentVerseInteraction):
+        from agentverse.tasksolving import TaskSolving
+
+        web_tasks_dir = os.path.join(
+            os.path.dirname(__file__), "..", "agentverse", "tasks"
+        )
+        web_task = "tasksolving/tool_using/24point"
+        agentversepipeline = TaskSolving.from_task(
+            web_task,
+            web_tasks_dir,
+            cnt_agents=int(
+                interaction.parameter.args["goal"]["_object"]["currentInput"][
+                    "cnt_agents"
+                ]
+            ),
+            task_description=interaction.parameter.args["goal"]["_object"][
+                "currentInput"
+            ]["task_des"],
+        )
+
+        try:
+            self.logger.info(f"Start TaskSolving")
+            await agentversepipeline.run(interaction=interaction)
+        except Exception:
+            self.logger.info(traceback.format_exc())
diff --git a/AgentVerseServer/utils.py b/AgentVerseServer/utils.py
new file mode 100644
index 000000000..9083c1873
--- /dev/null
+++ b/AgentVerseServer/utils.py
@@ -0,0 +1,204 @@
+import abc
+import asyncio
+import json
+import os
+import random
+import shutil
+import time
+import traceback
+
+from fastapi import WebSocket
+
+from AgentVerseServer.database import InteractionBaseInterface, UserBaseInterface
+from AgentVerseServer.envs import AgentVerseServerEnv
+from AgentVerseServer.models.interaction import InteractionBase
+from AgentVerseServer.models.shared_interaction import SharedInteractionBase
+from AgentVerseServer.response_body import WebsocketResponseBody
+
+
+class Util(metaclass=abc.ABCMeta):
+    @staticmethod
+    def send_message(client, message):
+        client.sendall(message.encode())
+
+    @staticmethod
+    def recv_message(client):
+        return client.recv(1024).decode()
+
+
+class AutoReplayUtil(metaclass=abc.ABCMeta):
+    @staticmethod
+    async def do_replay(websocket: WebSocket, base: InteractionBase):
+        with open(
+            os.path.join(
+                AgentVerseServerEnv.base_dir,
+                "localstorage",
+                "interact_records",
+                base.create_time[:10],
+                base.interaction_id,
+                "cache.json",
+            ),
+            "r",
+        ) as f:
+            history = json.load(f)
+
+        await AutoReplayUtil.do_replay_start(websocket, history)
+
+    @staticmethod
+    async def do_replay_start(websocket: WebSocket, history: dict):
+        init_data = {}
+        for key, value in history.items():
+            if key == "subtasks":
+                init_data[key] = [{**v, "inner": []} for v in value]
+            else:
+                init_data[key] = value
+
+        await asyncio.sleep(random.randint(1, 5))
+        await websocket.send_text(
+            WebsocketResponseBody(
+                status="start", data=init_data, message="success"
+            ).to_text()
+        )
+
+        await AutoReplayUtil.do_auto_replay(websocket, history)
+
+    @staticmethod
+    async def do_auto_replay(websocket: WebSocket, history: dict):
+        cache_list = history.get("subtasks", [])
+        item = cache_list.pop(0)
+        while item is not None:
+            inner = item.get("inner", [])
+            if inner:
+                inner_props = inner.pop(0)
+                while inner_props is not None:
+                    send = True
+                    tool_name = (
+                        inner_props.get("using_tools", {}).get("tool_name", "")
+                        if isinstance(inner_props, dict)
+                        else ""
+                    )
+
+                    await asyncio.sleep(random.randint(1, 5))
+                    if tool_name == "subtask_submit":
+                        send_data = {
+                            "task_id": item.get("task_id", ""),
+                            "name": item.get("name", ""),
+                            "goal": item.get("goal", ""),
+                            "handler": item.get("handler", ""),
+                            "data": inner_props,
+                            "current": item.get("task_id", ""),
+                            "status": "subtask_submit",
+                            "message": "",
+                        }
+
+                    else:
+                        send_data = {
+                            "task_id": item.get("task_id", ""),
+                            "name": item.get("name", ""),
+                            "goal": item.get("goal", ""),
+                            "handler": item.get("handler", ""),
+                            "data": inner_props,
+                            "current": item.get("task_id", ""),
+                            "status": "inner",
+                            "message": "",
+                        }
+                        await websocket.send_text(
+                            WebsocketResponseBody(**send_data).to_text()
+                        )
+                    if inner:
+                        inner_props = inner.pop(0)
+                    else:
+                        inner_props = None
+                    if inner_props is None:
+                        await asyncio.sleep(random.randint(1, 5))
+                        send_data = {
+                            "task_id": item.get("task_id", ""),
+                            "name": item.get("name", ""),
+                            "goal": item.get("goal", ""),
+                            "handler": item.get("handler", ""),
+                            "data": item.get("refinement", {}),
+                            "current": item.get("task_id", ""),
+                            "status": "refinement",
+                            "message": "",
+                        }
+                        await websocket.send_text(
+                            WebsocketResponseBody(**send_data).to_text()
+                        )
+                        await asyncio.sleep(5)
+
+            if cache_list:
+                await asyncio.sleep(random.randint(1, 5))
+                sub_send_data = {
+                    "data": [{**r_, "inner": []} for r_ in cache_list],
+                    "current": cache_list[0]["task_id"],
+                    "status": "subtask",
+                    "message": "",
+                }
+
+                await websocket.send_text(
+                    WebsocketResponseBody(**sub_send_data).to_text()
+                )
+                item = cache_list.pop(0)
+            else:
+                item = None
+
+
+class ShareUtil(metaclass=abc.ABCMeta):
+    db: InteractionBaseInterface = None
+    user_db: UserBaseInterface = None
+
+    @staticmethod
+    def register_db(db, user_db):
+        ShareUtil.db = db
+        ShareUtil.user_db = user_db
+
+    @staticmethod
+    def share_interaction(interaction_id: str, user_id: str):
+        try:
+            interaction = ShareUtil.db.get_interaction(interaction_id)
+            if interaction is None:
+                return False
+            user_name = ShareUtil.user_db.get_user(user_id).name
+            record_dir = os.path.join(
+                AgentVerseServerEnv.base_dir,
+                "localstorage",
+                "interact_records",
+                interaction.create_time[:10],
+                interaction_id,
+            )
+            if not os.path.exists(record_dir):
+                return False
+            shared_dir = os.path.join(
+                AgentVerseServerEnv.base_dir,
+                "localstorage",
+                "shared_interact_records",
+                interaction_id,
+            )
+            if not os.path.exists(shared_dir):
+                os.makedirs(shared_dir)
+            for file in os.listdir(record_dir):
+                shutil.copy(os.path.join(record_dir, file), shared_dir)
+            shared = SharedInteractionBase(
+                interaction_id=interaction_id,
+                user_name=user_name,
+                create_time=interaction.create_time,
+                update_time=interaction.update_time,
+                description=interaction.description,
+                agent=interaction.agent,
+                mode=interaction.mode,
+                is_deleted=interaction.is_deleted,
+                star=0,
+                record_dir=shared_dir,
+            )
+            ShareUtil.db.add_share(shared)
+            return True
+        except Exception as e:
+            traceback.print_exc()
+            return False
+
+    @staticmethod
+    async def do_replay(websocket: WebSocket, shared: SharedInteractionBase):
+        with open(os.path.join(shared.record_dir, "cache.json"), "r") as f:
+            history = json.load(f)
+
+        await AutoReplayUtil.do_replay_start(websocket, history)
diff --git a/AgentVerseWeb/.gitignore b/AgentVerseWeb/.gitignore
new file mode 100644
index 000000000..163eb9577
--- /dev/null
+++ b/AgentVerseWeb/.gitignore
@@ -0,0 +1,30 @@
+.DS_Store
+**/.DS_Store
+.DS_Store?
+
+
+/build
+/dist
+/node_modules
+node_modules/
+dist/
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*
+yarn.lock
+package-lock.json
+tests/**/coverage/
+
+# Editor directories and files
+.idea
+.vscode
+*.suo
+*.ntvs*
+*.njsproj
+*.sln
+yarn.lock
+yarn.lock
+*.lock
+yarn.lock
+package-lock.json
+src/api/backend.ts
diff --git a/AgentVerseWeb/Dockerfile b/AgentVerseWeb/Dockerfile
new file mode 100644
index 000000000..ee715d39e
--- /dev/null
+++ b/AgentVerseWeb/Dockerfile
@@ -0,0 +1,35 @@
+# FROM 基于node的版本镜像，并通过构建阶段命名，将有node环境的阶段命名为build-stage
+FROM node:lts-alpine as build-stage
+# 设置工作区为 /build 于系统文件隔离
+WORKDIR /build
+# copy package.json/package-lock.json 到容器 /build 目录
+COPY package*.json ./
+# 在容器中安装依赖
+RUN npm install 
+# 拷贝其他文件到容器 /build 目录，分两次拷贝是因为保持 node_modules 一致
+COPY . .
+# 打包
+RUN npm run build:prod_docker
+
+# production stage
+FROM nginx:alpine as production-stage
+WORKDIR /app
+COPY --from=build-stage /build/dist /usr/share/nginx/html
+EXPOSE 3000
+# CMD ["npm", "start"]
+
+# 创建镜像
+# docker build . -t test-image:latest  
+# 通过 docker images 命令查看所有镜像
+# docker images
+
+# 创建并启动container  映射端口  本地/linux 默认80   例 3000/80
+# docker run -d -p 3000:80 --rm  --name test-container test-image:latest
+# run：创建并运行 docker 容器
+# -d： 后台运行容器
+# 3000:80：将当前服务器的 80 端口（冒号前的 80），映射到容器的 80 端口（冒号后的 80）
+# --name：给容器命名，便于之后定位容器
+# test-image:latest：基于 test-image 最新版本的镜像创建容器
+
+
+
diff --git a/AgentVerseWeb/README.md b/AgentVerseWeb/README.md
new file mode 100644
index 000000000..c52aa6227
--- /dev/null
+++ b/AgentVerseWeb/README.md
@@ -0,0 +1,22 @@
+# AgentVerse 
+
+A large-scale agent-based model by Tsinghua University NLP lab.
+
+
+
+## Install Dependencies  安装依赖
+
+```bash
+npm install
+```
+
+## Modify code in Node_Modules  修改node_modules中的文件
+
+
+
+## Run  运行
+
+```bash
+npm run dev 
+```
+
diff --git a/AgentVerseWeb/auto-imports.d.ts b/AgentVerseWeb/auto-imports.d.ts
new file mode 100644
index 000000000..5c5ac8f6c
--- /dev/null
+++ b/AgentVerseWeb/auto-imports.d.ts
@@ -0,0 +1,666 @@
+// Generated by 'unplugin-auto-import'
+export {}
+declare global {
+  const AUTH_STATE: typeof import('./src/composables/useEnums')['AUTH_STATE']
+  const AesEncryption: typeof import('./src/composables/useCrypto')['AesEncryption']
+  const CACHE_LOCATION: typeof import('./src/composables/useEnums')['CACHE_LOCATION']
+  const EffectScope: typeof import('vue')['EffectScope']
+  const HISTORY_TALK: typeof import('./src/composables/useEnums')['HISTORY_TALK']
+  const RoleEnum: typeof import('./types/user')['RoleEnum']
+  const STORAGE_TOKEN: typeof import('./src/composables/useEnums')['STORAGE_TOKEN']
+  const TOKEN: typeof import('./src/composables/useEnums')['TOKEN']
+  const USER_INFO: typeof import('./src/composables/useEnums')['USER_INFO']
+  const acceptHMRUpdate: typeof import('pinia')['acceptHMRUpdate']
+  const asyncComputed: typeof import('@vueuse/core')['asyncComputed']
+  const autoResetRef: typeof import('@vueuse/core')['autoResetRef']
+  const computed: typeof import('vue')['computed']
+  const computedAsync: typeof import('@vueuse/core')['computedAsync']
+  const computedEager: typeof import('@vueuse/core')['computedEager']
+  const computedInject: typeof import('@vueuse/core')['computedInject']
+  const computedWithControl: typeof import('@vueuse/core')['computedWithControl']
+  const controlledComputed: typeof import('@vueuse/core')['controlledComputed']
+  const controlledRef: typeof import('@vueuse/core')['controlledRef']
+  const createApp: typeof import('vue')['createApp']
+  const createEventHook: typeof import('@vueuse/core')['createEventHook']
+  const createGlobalState: typeof import('@vueuse/core')['createGlobalState']
+  const createInjectionState: typeof import('@vueuse/core')['createInjectionState']
+  const createPinia: typeof import('pinia')['createPinia']
+  const createReactiveFn: typeof import('@vueuse/core')['createReactiveFn']
+  const createSharedComposable: typeof import('@vueuse/core')['createSharedComposable']
+  const createUnrefFn: typeof import('@vueuse/core')['createUnrefFn']
+  const customRef: typeof import('vue')['customRef']
+  const debouncedRef: typeof import('@vueuse/core')['debouncedRef']
+  const debouncedWatch: typeof import('@vueuse/core')['debouncedWatch']
+  const defineAsyncComponent: typeof import('vue')['defineAsyncComponent']
+  const defineComponent: typeof import('vue')['defineComponent']
+  const defineStore: typeof import('pinia')['defineStore']
+  const eagerComputed: typeof import('@vueuse/core')['eagerComputed']
+  const effectScope: typeof import('vue')['effectScope']
+  const extendRef: typeof import('@vueuse/core')['extendRef']
+  const getActivePinia: typeof import('pinia')['getActivePinia']
+  const getCurrentInstance: typeof import('vue')['getCurrentInstance']
+  const getCurrentScope: typeof import('vue')['getCurrentScope']
+  const globalD: typeof import('./types/global.d')['default']
+  const h: typeof import('vue')['h']
+  const ignorableWatch: typeof import('@vueuse/core')['ignorableWatch']
+  const inject: typeof import('vue')['inject']
+  const isDefined: typeof import('@vueuse/core')['isDefined']
+  const isProxy: typeof import('vue')['isProxy']
+  const isReactive: typeof import('vue')['isReactive']
+  const isReadonly: typeof import('vue')['isReadonly']
+  const isRef: typeof import('vue')['isRef']
+  const makeDestructurable: typeof import('@vueuse/core')['makeDestructurable']
+  const mapActions: typeof import('pinia')['mapActions']
+  const mapGetters: typeof import('pinia')['mapGetters']
+  const mapState: typeof import('pinia')['mapState']
+  const mapStores: typeof import('pinia')['mapStores']
+  const mapWritableState: typeof import('pinia')['mapWritableState']
+  const markRaw: typeof import('vue')['markRaw']
+  const nextTick: typeof import('vue')['nextTick']
+  const onActivated: typeof import('vue')['onActivated']
+  const onBeforeMount: typeof import('vue')['onBeforeMount']
+  const onBeforeRouteLeave: typeof import('vue-router')['onBeforeRouteLeave']
+  const onBeforeRouteUpdate: typeof import('vue-router')['onBeforeRouteUpdate']
+  const onBeforeUnmount: typeof import('vue')['onBeforeUnmount']
+  const onBeforeUpdate: typeof import('vue')['onBeforeUpdate']
+  const onClickOutside: typeof import('@vueuse/core')['onClickOutside']
+  const onDeactivated: typeof import('vue')['onDeactivated']
+  const onErrorCaptured: typeof import('vue')['onErrorCaptured']
+  const onKeyStroke: typeof import('@vueuse/core')['onKeyStroke']
+  const onLongPress: typeof import('@vueuse/core')['onLongPress']
+  const onMounted: typeof import('vue')['onMounted']
+  const onRenderTracked: typeof import('vue')['onRenderTracked']
+  const onRenderTriggered: typeof import('vue')['onRenderTriggered']
+  const onScopeDispose: typeof import('vue')['onScopeDispose']
+  const onServerPrefetch: typeof import('vue')['onServerPrefetch']
+  const onStartTyping: typeof import('@vueuse/core')['onStartTyping']
+  const onUnmounted: typeof import('vue')['onUnmounted']
+  const onUpdated: typeof import('vue')['onUpdated']
+  const pausableWatch: typeof import('@vueuse/core')['pausableWatch']
+  const provide: typeof import('vue')['provide']
+  const reactify: typeof import('@vueuse/core')['reactify']
+  const reactifyObject: typeof import('@vueuse/core')['reactifyObject']
+  const reactive: typeof import('vue')['reactive']
+  const reactiveComputed: typeof import('@vueuse/core')['reactiveComputed']
+  const reactiveOmit: typeof import('@vueuse/core')['reactiveOmit']
+  const reactivePick: typeof import('@vueuse/core')['reactivePick']
+  const readonly: typeof import('vue')['readonly']
+  const ref: typeof import('vue')['ref']
+  const refAutoReset: typeof import('@vueuse/core')['refAutoReset']
+  const refDebounced: typeof import('@vueuse/core')['refDebounced']
+  const refDefault: typeof import('@vueuse/core')['refDefault']
+  const refThrottled: typeof import('@vueuse/core')['refThrottled']
+  const refWithControl: typeof import('@vueuse/core')['refWithControl']
+  const resolveComponent: typeof import('vue')['resolveComponent']
+  const resolveDirective: typeof import('vue')['resolveDirective']
+  const resolveRef: typeof import('@vueuse/core')['resolveRef']
+  const resolveUnref: typeof import('@vueuse/core')['resolveUnref']
+  const setActivePinia: typeof import('pinia')['setActivePinia']
+  const setMapStoreSuffix: typeof import('pinia')['setMapStoreSuffix']
+  const setupStore: typeof import('./src/store/index')['setupStore']
+  const shallowReactive: typeof import('vue')['shallowReactive']
+  const shallowReadonly: typeof import('vue')['shallowReadonly']
+  const shallowRef: typeof import('vue')['shallowRef']
+  const store: typeof import('./src/store/index')['store']
+  const storeToRefs: typeof import('pinia')['storeToRefs']
+  const syncRef: typeof import('@vueuse/core')['syncRef']
+  const syncRefs: typeof import('@vueuse/core')['syncRefs']
+  const templateRef: typeof import('@vueuse/core')['templateRef']
+  const throttledRef: typeof import('@vueuse/core')['throttledRef']
+  const throttledWatch: typeof import('@vueuse/core')['throttledWatch']
+  const toRaw: typeof import('vue')['toRaw']
+  const toReactive: typeof import('@vueuse/core')['toReactive']
+  const toRef: typeof import('vue')['toRef']
+  const toRefs: typeof import('vue')['toRefs']
+  const triggerRef: typeof import('vue')['triggerRef']
+  const tryOnBeforeMount: typeof import('@vueuse/core')['tryOnBeforeMount']
+  const tryOnBeforeUnmount: typeof import('@vueuse/core')['tryOnBeforeUnmount']
+  const tryOnMounted: typeof import('@vueuse/core')['tryOnMounted']
+  const tryOnScopeDispose: typeof import('@vueuse/core')['tryOnScopeDispose']
+  const tryOnUnmounted: typeof import('@vueuse/core')['tryOnUnmounted']
+  const unref: typeof import('vue')['unref']
+  const unrefElement: typeof import('@vueuse/core')['unrefElement']
+  const until: typeof import('@vueuse/core')['until']
+  const useActiveElement: typeof import('@vueuse/core')['useActiveElement']
+  const useApiDetailsRequest: typeof import('./src/composables/useApi')['useApiDetailsRequest']
+  const useArrayEvery: typeof import('@vueuse/core')['useArrayEvery']
+  const useArrayFilter: typeof import('@vueuse/core')['useArrayFilter']
+  const useArrayFind: typeof import('@vueuse/core')['useArrayFind']
+  const useArrayFindIndex: typeof import('@vueuse/core')['useArrayFindIndex']
+  const useArrayFindLast: typeof import('@vueuse/core')['useArrayFindLast']
+  const useArrayJoin: typeof import('@vueuse/core')['useArrayJoin']
+  const useArrayMap: typeof import('@vueuse/core')['useArrayMap']
+  const useArrayReduce: typeof import('@vueuse/core')['useArrayReduce']
+  const useArraySome: typeof import('@vueuse/core')['useArraySome']
+  const useArrayUnique: typeof import('@vueuse/core')['useArrayUnique']
+  const useAsset: typeof import('./src/composables/useUtil')['useAsset']
+  const useAsyncQueue: typeof import('@vueuse/core')['useAsyncQueue']
+  const useAsyncState: typeof import('@vueuse/core')['useAsyncState']
+  const useAttrs: typeof import('vue')['useAttrs']
+  const useAuthStore: typeof import('./src/store/modules/auth')['useAuthStore']
+  const useAuthStoreOut: typeof import('./src/store/modules/auth')['useAuthStoreOut']
+  const useBase64: typeof import('@vueuse/core')['useBase64']
+  const useBattery: typeof import('@vueuse/core')['useBattery']
+  const useBluetooth: typeof import('@vueuse/core')['useBluetooth']
+  const useBreakpoints: typeof import('@vueuse/core')['useBreakpoints']
+  const useBroadcastChannel: typeof import('@vueuse/core')['useBroadcastChannel']
+  const useBrowserLocation: typeof import('@vueuse/core')['useBrowserLocation']
+  const useCached: typeof import('@vueuse/core')['useCached']
+  const useChart: typeof import('./src/composables/useChart')['useChart']
+  const useChatRequest: typeof import('./src/composables/useApi')['useChatRequest']
+  const useCheckAuth: typeof import('./src/composables/useUtil')['useCheckAuth']
+  const useCheckPhoneRequest: typeof import('./src/composables/useApi')['useCheckPhoneRequest']
+  const useCheckTokenRequest: typeof import('./src/composables/useApi')['useCheckTokenRequest']
+  const useClearLocalCache: typeof import('./src/composables/useUtil')['useClearLocalCache']
+  const useClipboard: typeof import('@vueuse/core')['useClipboard']
+  const useCloned: typeof import('@vueuse/core')['useCloned']
+  const useColorMode: typeof import('@vueuse/core')['useColorMode']
+  const useConfigStore: typeof import('./src/store/modules/config')['useConfigStore']
+  const useConfirmDialog: typeof import('@vueuse/core')['useConfirmDialog']
+  const useCounter: typeof import('@vueuse/core')['useCounter']
+  const useCreateCopyDom: typeof import('./src/composables/useUtil')['useCreateCopyDom']
+  const useCrypto: typeof import('./src/composables/useCrypto')['default']
+  const useCssModule: typeof import('vue')['useCssModule']
+  const useCssVar: typeof import('@vueuse/core')['useCssVar']
+  const useCssVars: typeof import('vue')['useCssVars']
+  const useCurrentElement: typeof import('@vueuse/core')['useCurrentElement']
+  const useCycleList: typeof import('@vueuse/core')['useCycleList']
+  const useDark: typeof import('@vueuse/core')['useDark']
+  const useDateFormat: typeof import('@vueuse/core')['useDateFormat']
+  const useDebounce: typeof import('@vueuse/core')['useDebounce']
+  const useDebounceFn: typeof import('@vueuse/core')['useDebounceFn']
+  const useDebouncedRefHistory: typeof import('@vueuse/core')['useDebouncedRefHistory']
+  const useDeleteHistoryRequest: typeof import('./src/composables/useApi')['useDeleteHistoryRequest']
+  const useDetailRequest: typeof import('./src/composables/useApi')['useDetailRequest']
+  const useDeviceMotion: typeof import('@vueuse/core')['useDeviceMotion']
+  const useDeviceOrientation: typeof import('@vueuse/core')['useDeviceOrientation']
+  const useDevicePixelRatio: typeof import('@vueuse/core')['useDevicePixelRatio']
+  const useDevicesList: typeof import('@vueuse/core')['useDevicesList']
+  const useDisplayMedia: typeof import('@vueuse/core')['useDisplayMedia']
+  const useDocumentVisibility: typeof import('@vueuse/core')['useDocumentVisibility']
+  const useDraggable: typeof import('@vueuse/core')['useDraggable']
+  const useDropZone: typeof import('@vueuse/core')['useDropZone']
+  const useElementBounding: typeof import('@vueuse/core')['useElementBounding']
+  const useElementByPoint: typeof import('@vueuse/core')['useElementByPoint']
+  const useElementHover: typeof import('@vueuse/core')['useElementHover']
+  const useElementSize: typeof import('@vueuse/core')['useElementSize']
+  const useElementVisibility: typeof import('@vueuse/core')['useElementVisibility']
+  const useEmailCodeRequest: typeof import('./src/composables/useApi')['useEmailCodeRequest']
+  const useEventBus: typeof import('@vueuse/core')['useEventBus']
+  const useEventListener: typeof import('@vueuse/core')['useEventListener']
+  const useEventSource: typeof import('@vueuse/core')['useEventSource']
+  const useEyeDropper: typeof import('@vueuse/core')['useEyeDropper']
+  const useFavicon: typeof import('@vueuse/core')['useFavicon']
+  const useFeedbackRequest: typeof import('./src/composables/useApi')['useFeedbackRequest']
+  const useFetch: typeof import('@vueuse/core')['useFetch']
+  const useFileDialog: typeof import('@vueuse/core')['useFileDialog']
+  const useFileSystemAccess: typeof import('@vueuse/core')['useFileSystemAccess']
+  const useFocus: typeof import('@vueuse/core')['useFocus']
+  const useFocusWithin: typeof import('@vueuse/core')['useFocusWithin']
+  const useFps: typeof import('@vueuse/core')['useFps']
+  const useFullscreen: typeof import('@vueuse/core')['useFullscreen']
+  const useGamepad: typeof import('@vueuse/core')['useGamepad']
+  const useGeolocation: typeof import('@vueuse/core')['useGeolocation']
+  const useGetLocalCache: typeof import('./src/composables/useUtil')['useGetLocalCache']
+  const useHistoryByIdRequest: typeof import('./src/composables/useApi')['useHistoryByIdRequest']
+  const useHistoryListRequest: typeof import('./src/composables/useApi')['useHistoryListRequest']
+  const useHistoryTalkStore: typeof import('./src/store/modules/talk')['useHistoryTalkStore']
+  const useIdle: typeof import('@vueuse/core')['useIdle']
+  const useImage: typeof import('@vueuse/core')['useImage']
+  const useInfiniteScroll: typeof import('@vueuse/core')['useInfiniteScroll']
+  const useInitWaterMark: typeof import('./src/composables/useUtil')['useInitWaterMark']
+  const useIntersectionObserver: typeof import('@vueuse/core')['useIntersectionObserver']
+  const useInterval: typeof import('@vueuse/core')['useInterval']
+  const useIntervalFn: typeof import('@vueuse/core')['useIntervalFn']
+  const useIsExistSensitive: typeof import('./src/composables/useSensitive')['useIsExistSensitive']
+  const useIsMac: typeof import('./src/composables/useUtil')['useIsMac']
+  const useKeyModifier: typeof import('@vueuse/core')['useKeyModifier']
+  const useLastChanged: typeof import('@vueuse/core')['useLastChanged']
+  const useLink: typeof import('vue-router')['useLink']
+  const useLocalStorage: typeof import('@vueuse/core')['useLocalStorage']
+  const useLoginRequest: typeof import('./src/composables/useApi')['useLoginRequest']
+  const useLogoutRequest: typeof import('./src/composables/useApi')['useLogoutRequest']
+  const useMagicKeys: typeof import('@vueuse/core')['useMagicKeys']
+  const useManualRefHistory: typeof import('@vueuse/core')['useManualRefHistory']
+  const useMediaControls: typeof import('@vueuse/core')['useMediaControls']
+  const useMediaQuery: typeof import('@vueuse/core')['useMediaQuery']
+  const useMemoize: typeof import('@vueuse/core')['useMemoize']
+  const useMemory: typeof import('@vueuse/core')['useMemory']
+  const useMobileCodeRequest: typeof import('./src/composables/useApi')['useMobileCodeRequest']
+  const useMounted: typeof import('@vueuse/core')['useMounted']
+  const useMouse: typeof import('@vueuse/core')['useMouse']
+  const useMouseInElement: typeof import('@vueuse/core')['useMouseInElement']
+  const useMousePressed: typeof import('@vueuse/core')['useMousePressed']
+  const useMutationObserver: typeof import('@vueuse/core')['useMutationObserver']
+  const useNavigateTo: typeof import('./src/composables/useUtil')['useNavigateTo']
+  const useNavigatorLanguage: typeof import('@vueuse/core')['useNavigatorLanguage']
+  const useNetwork: typeof import('@vueuse/core')['useNetwork']
+  const useNow: typeof import('@vueuse/core')['useNow']
+  const useObjectUrl: typeof import('@vueuse/core')['useObjectUrl']
+  const useOffsetPagination: typeof import('@vueuse/core')['useOffsetPagination']
+  const useOnline: typeof import('@vueuse/core')['useOnline']
+  const usePageLeave: typeof import('@vueuse/core')['usePageLeave']
+  const useParallax: typeof import('@vueuse/core')['useParallax']
+  const usePermission: typeof import('@vueuse/core')['usePermission']
+  const usePointer: typeof import('@vueuse/core')['usePointer']
+  const usePointerLock: typeof import('@vueuse/core')['usePointerLock']
+  const usePointerSwipe: typeof import('@vueuse/core')['usePointerSwipe']
+  const usePreferredColorScheme: typeof import('@vueuse/core')['usePreferredColorScheme']
+  const usePreferredContrast: typeof import('@vueuse/core')['usePreferredContrast']
+  const usePreferredDark: typeof import('@vueuse/core')['usePreferredDark']
+  const usePreferredLanguages: typeof import('@vueuse/core')['usePreferredLanguages']
+  const usePreferredReducedMotion: typeof import('@vueuse/core')['usePreferredReducedMotion']
+  const usePrevious: typeof import('@vueuse/core')['usePrevious']
+  const useQueryChatRequest: typeof import('./src/composables/useApi')['useQueryChatRequest']
+  const useRafFn: typeof import('@vueuse/core')['useRafFn']
+  const useRefHistory: typeof import('@vueuse/core')['useRefHistory']
+  const useRegisterRequest: typeof import('./src/composables/useApi')['useRegisterRequest']
+  const useResizeObserver: typeof import('@vueuse/core')['useResizeObserver']
+  const useRoundStore: typeof import('./src/store/modules/round')['useRoundStore']
+  const useRoute: typeof import('vue-router')['useRoute']
+  const useRouter: typeof import('vue-router')['useRouter']
+  const useSSE: typeof import('./src/composables/useSSE')['default']
+  const useScreenOrientation: typeof import('@vueuse/core')['useScreenOrientation']
+  const useScreenSafeArea: typeof import('@vueuse/core')['useScreenSafeArea']
+  const useScriptTag: typeof import('@vueuse/core')['useScriptTag']
+  const useScroll: typeof import('@vueuse/core')['useScroll']
+  const useScrollLock: typeof import('@vueuse/core')['useScrollLock']
+  const useSessionStorage: typeof import('@vueuse/core')['useSessionStorage']
+  const useSetLocalCache: typeof import('./src/composables/useUtil')['useSetLocalCache']
+  const useShare: typeof import('@vueuse/core')['useShare']
+  const useSharedConvsRequest: typeof import('./src/composables/useApi')['useSharedConvsRequest']
+  const useSignUpRequest: typeof import('./src/composables/useApi')['useSignUpRequest']
+  const useSlots: typeof import('vue')['useSlots']
+  const useSorted: typeof import('@vueuse/core')['useSorted']
+  const useSpeechRecognition: typeof import('@vueuse/core')['useSpeechRecognition']
+  const useSpeechSynthesis: typeof import('@vueuse/core')['useSpeechSynthesis']
+  const useStepper: typeof import('@vueuse/core')['useStepper']
+  const useStorage: typeof import('@vueuse/core')['useStorage']
+  const useStorageAsync: typeof import('@vueuse/core')['useStorageAsync']
+  const useStyleTag: typeof import('@vueuse/core')['useStyleTag']
+  const useSupported: typeof import('@vueuse/core')['useSupported']
+  const useSwipe: typeof import('@vueuse/core')['useSwipe']
+  const useTemplateRefsList: typeof import('@vueuse/core')['useTemplateRefsList']
+  const useTextDirection: typeof import('@vueuse/core')['useTextDirection']
+  const useTextSelection: typeof import('@vueuse/core')['useTextSelection']
+  const useTextareaAutosize: typeof import('@vueuse/core')['useTextareaAutosize']
+  const useThrottle: typeof import('@vueuse/core')['useThrottle']
+  const useThrottleFn: typeof import('@vueuse/core')['useThrottleFn']
+  const useThrottledRefHistory: typeof import('@vueuse/core')['useThrottledRefHistory']
+  const useTimeAgo: typeof import('@vueuse/core')['useTimeAgo']
+  const useTimeout: typeof import('@vueuse/core')['useTimeout']
+  const useTimeoutFn: typeof import('@vueuse/core')['useTimeoutFn']
+  const useTimeoutPoll: typeof import('@vueuse/core')['useTimeoutPoll']
+  const useTimestamp: typeof import('@vueuse/core')['useTimestamp']
+  const useTitle: typeof import('@vueuse/core')['useTitle']
+  const useToNumber: typeof import('@vueuse/core')['useToNumber']
+  const useToString: typeof import('@vueuse/core')['useToString']
+  const useToggle: typeof import('@vueuse/core')['useToggle']
+  const useTransition: typeof import('@vueuse/core')['useTransition']
+  const useUrlSearchParams: typeof import('@vueuse/core')['useUrlSearchParams']
+  const useUserMedia: typeof import('@vueuse/core')['useUserMedia']
+  const useUserStore: typeof import('./src/store/modules/user')['useUserStore']
+  const useVModel: typeof import('@vueuse/core')['useVModel']
+  const useVModels: typeof import('@vueuse/core')['useVModels']
+  const useValidEmail: typeof import('./src/composables/useValid')['useValidEmail']
+  const useValidPhone: typeof import('./src/composables/useValid')['useValidPhone']
+  const useVibrate: typeof import('@vueuse/core')['useVibrate']
+  const useVirtualList: typeof import('@vueuse/core')['useVirtualList']
+  const useWakeLock: typeof import('@vueuse/core')['useWakeLock']
+  const useWebNotification: typeof import('@vueuse/core')['useWebNotification']
+  const useWebSocket: typeof import('@vueuse/core')['useWebSocket']
+  const useWebWorker: typeof import('@vueuse/core')['useWebWorker']
+  const useWebWorkerFn: typeof import('@vueuse/core')['useWebWorkerFn']
+  const useWindowFocus: typeof import('@vueuse/core')['useWindowFocus']
+  const useWindowOpen: typeof import('./src/composables/useUtil')['useWindowOpen']
+  const useWindowScroll: typeof import('@vueuse/core')['useWindowScroll']
+  const useWindowSize: typeof import('@vueuse/core')['useWindowSize']
+  const watch: typeof import('vue')['watch']
+  const watchArray: typeof import('@vueuse/core')['watchArray']
+  const watchAtMost: typeof import('@vueuse/core')['watchAtMost']
+  const watchDebounced: typeof import('@vueuse/core')['watchDebounced']
+  const watchEffect: typeof import('vue')['watchEffect']
+  const watchIgnorable: typeof import('@vueuse/core')['watchIgnorable']
+  const watchOnce: typeof import('@vueuse/core')['watchOnce']
+  const watchPausable: typeof import('@vueuse/core')['watchPausable']
+  const watchPostEffect: typeof import('vue')['watchPostEffect']
+  const watchSyncEffect: typeof import('vue')['watchSyncEffect']
+  const watchThrottled: typeof import('@vueuse/core')['watchThrottled']
+  const watchTriggerable: typeof import('@vueuse/core')['watchTriggerable']
+  const watchWithFilter: typeof import('@vueuse/core')['watchWithFilter']
+  const whenever: typeof import('@vueuse/core')['whenever']
+}
+// for vue template auto import
+import { UnwrapRef } from 'vue'
+declare module 'vue' {
+  interface ComponentCustomProperties {
+    readonly AUTH_STATE: UnwrapRef<typeof import('./src/composables/useEnums')['AUTH_STATE']>
+    readonly AesEncryption: UnwrapRef<typeof import('./src/composables/useCrypto')['AesEncryption']>
+    readonly CACHE_LOCATION: UnwrapRef<typeof import('./src/composables/useEnums')['CACHE_LOCATION']>
+    readonly EffectScope: UnwrapRef<typeof import('vue')['EffectScope']>
+    readonly HISTORY_TALK: UnwrapRef<typeof import('./src/composables/useEnums')['HISTORY_TALK']>
+    readonly RoleEnum: UnwrapRef<typeof import('./types/user')['RoleEnum']>
+    readonly STORAGE_TOKEN: UnwrapRef<typeof import('./src/composables/useEnums')['STORAGE_TOKEN']>
+    readonly TOKEN: UnwrapRef<typeof import('./src/composables/useEnums')['TOKEN']>
+    readonly USER_INFO: UnwrapRef<typeof import('./src/composables/useEnums')['USER_INFO']>
+    readonly acceptHMRUpdate: UnwrapRef<typeof import('pinia')['acceptHMRUpdate']>
+    readonly asyncComputed: UnwrapRef<typeof import('@vueuse/core')['asyncComputed']>
+    readonly autoResetRef: UnwrapRef<typeof import('@vueuse/core')['autoResetRef']>
+    readonly computed: UnwrapRef<typeof import('vue')['computed']>
+    readonly computedAsync: UnwrapRef<typeof import('@vueuse/core')['computedAsync']>
+    readonly computedEager: UnwrapRef<typeof import('@vueuse/core')['computedEager']>
+    readonly computedInject: UnwrapRef<typeof import('@vueuse/core')['computedInject']>
+    readonly computedWithControl: UnwrapRef<typeof import('@vueuse/core')['computedWithControl']>
+    readonly controlledComputed: UnwrapRef<typeof import('@vueuse/core')['controlledComputed']>
+    readonly controlledRef: UnwrapRef<typeof import('@vueuse/core')['controlledRef']>
+    readonly createApp: UnwrapRef<typeof import('vue')['createApp']>
+    readonly createEventHook: UnwrapRef<typeof import('@vueuse/core')['createEventHook']>
+    readonly createGlobalState: UnwrapRef<typeof import('@vueuse/core')['createGlobalState']>
+    readonly createInjectionState: UnwrapRef<typeof import('@vueuse/core')['createInjectionState']>
+    readonly createPinia: UnwrapRef<typeof import('pinia')['createPinia']>
+    readonly createReactiveFn: UnwrapRef<typeof import('@vueuse/core')['createReactiveFn']>
+    readonly createSharedComposable: UnwrapRef<typeof import('@vueuse/core')['createSharedComposable']>
+    readonly createUnrefFn: UnwrapRef<typeof import('@vueuse/core')['createUnrefFn']>
+    readonly customRef: UnwrapRef<typeof import('vue')['customRef']>
+    readonly debouncedRef: UnwrapRef<typeof import('@vueuse/core')['debouncedRef']>
+    readonly debouncedWatch: UnwrapRef<typeof import('@vueuse/core')['debouncedWatch']>
+    readonly defineAsyncComponent: UnwrapRef<typeof import('vue')['defineAsyncComponent']>
+    readonly defineComponent: UnwrapRef<typeof import('vue')['defineComponent']>
+    readonly defineStore: UnwrapRef<typeof import('pinia')['defineStore']>
+    readonly eagerComputed: UnwrapRef<typeof import('@vueuse/core')['eagerComputed']>
+    readonly effectScope: UnwrapRef<typeof import('vue')['effectScope']>
+    readonly extendRef: UnwrapRef<typeof import('@vueuse/core')['extendRef']>
+    readonly getActivePinia: UnwrapRef<typeof import('pinia')['getActivePinia']>
+    readonly getCurrentInstance: UnwrapRef<typeof import('vue')['getCurrentInstance']>
+    readonly getCurrentScope: UnwrapRef<typeof import('vue')['getCurrentScope']>
+    readonly globalD: UnwrapRef<typeof import('./types/global.d')['default']>
+    readonly h: UnwrapRef<typeof import('vue')['h']>
+    readonly ignorableWatch: UnwrapRef<typeof import('@vueuse/core')['ignorableWatch']>
+    readonly inject: UnwrapRef<typeof import('vue')['inject']>
+    readonly isDefined: UnwrapRef<typeof import('@vueuse/core')['isDefined']>
+    readonly isProxy: UnwrapRef<typeof import('vue')['isProxy']>
+    readonly isReactive: UnwrapRef<typeof import('vue')['isReactive']>
+    readonly isReadonly: UnwrapRef<typeof import('vue')['isReadonly']>
+    readonly isRef: UnwrapRef<typeof import('vue')['isRef']>
+    readonly makeDestructurable: UnwrapRef<typeof import('@vueuse/core')['makeDestructurable']>
+    readonly mapActions: UnwrapRef<typeof import('pinia')['mapActions']>
+    readonly mapGetters: UnwrapRef<typeof import('pinia')['mapGetters']>
+    readonly mapState: UnwrapRef<typeof import('pinia')['mapState']>
+    readonly mapStores: UnwrapRef<typeof import('pinia')['mapStores']>
+    readonly mapWritableState: UnwrapRef<typeof import('pinia')['mapWritableState']>
+    readonly markRaw: UnwrapRef<typeof import('vue')['markRaw']>
+    readonly nextTick: UnwrapRef<typeof import('vue')['nextTick']>
+    readonly onActivated: UnwrapRef<typeof import('vue')['onActivated']>
+    readonly onBeforeMount: UnwrapRef<typeof import('vue')['onBeforeMount']>
+    readonly onBeforeRouteLeave: UnwrapRef<typeof import('vue-router')['onBeforeRouteLeave']>
+    readonly onBeforeRouteUpdate: UnwrapRef<typeof import('vue-router')['onBeforeRouteUpdate']>
+    readonly onBeforeUnmount: UnwrapRef<typeof import('vue')['onBeforeUnmount']>
+    readonly onBeforeUpdate: UnwrapRef<typeof import('vue')['onBeforeUpdate']>
+    readonly onClickOutside: UnwrapRef<typeof import('@vueuse/core')['onClickOutside']>
+    readonly onDeactivated: UnwrapRef<typeof import('vue')['onDeactivated']>
+    readonly onErrorCaptured: UnwrapRef<typeof import('vue')['onErrorCaptured']>
+    readonly onKeyStroke: UnwrapRef<typeof import('@vueuse/core')['onKeyStroke']>
+    readonly onLongPress: UnwrapRef<typeof import('@vueuse/core')['onLongPress']>
+    readonly onMounted: UnwrapRef<typeof import('vue')['onMounted']>
+    readonly onRenderTracked: UnwrapRef<typeof import('vue')['onRenderTracked']>
+    readonly onRenderTriggered: UnwrapRef<typeof import('vue')['onRenderTriggered']>
+    readonly onScopeDispose: UnwrapRef<typeof import('vue')['onScopeDispose']>
+    readonly onServerPrefetch: UnwrapRef<typeof import('vue')['onServerPrefetch']>
+    readonly onStartTyping: UnwrapRef<typeof import('@vueuse/core')['onStartTyping']>
+    readonly onUnmounted: UnwrapRef<typeof import('vue')['onUnmounted']>
+    readonly onUpdated: UnwrapRef<typeof import('vue')['onUpdated']>
+    readonly pausableWatch: UnwrapRef<typeof import('@vueuse/core')['pausableWatch']>
+    readonly provide: UnwrapRef<typeof import('vue')['provide']>
+    readonly reactify: UnwrapRef<typeof import('@vueuse/core')['reactify']>
+    readonly reactifyObject: UnwrapRef<typeof import('@vueuse/core')['reactifyObject']>
+    readonly reactive: UnwrapRef<typeof import('vue')['reactive']>
+    readonly reactiveComputed: UnwrapRef<typeof import('@vueuse/core')['reactiveComputed']>
+    readonly reactiveOmit: UnwrapRef<typeof import('@vueuse/core')['reactiveOmit']>
+    readonly reactivePick: UnwrapRef<typeof import('@vueuse/core')['reactivePick']>
+    readonly readonly: UnwrapRef<typeof import('vue')['readonly']>
+    readonly ref: UnwrapRef<typeof import('vue')['ref']>
+    readonly refAutoReset: UnwrapRef<typeof import('@vueuse/core')['refAutoReset']>
+    readonly refDebounced: UnwrapRef<typeof import('@vueuse/core')['refDebounced']>
+    readonly refDefault: UnwrapRef<typeof import('@vueuse/core')['refDefault']>
+    readonly refThrottled: UnwrapRef<typeof import('@vueuse/core')['refThrottled']>
+    readonly refWithControl: UnwrapRef<typeof import('@vueuse/core')['refWithControl']>
+    readonly resolveComponent: UnwrapRef<typeof import('vue')['resolveComponent']>
+    readonly resolveDirective: UnwrapRef<typeof import('vue')['resolveDirective']>
+    readonly resolveRef: UnwrapRef<typeof import('@vueuse/core')['resolveRef']>
+    readonly resolveUnref: UnwrapRef<typeof import('@vueuse/core')['resolveUnref']>
+    readonly setActivePinia: UnwrapRef<typeof import('pinia')['setActivePinia']>
+    readonly setMapStoreSuffix: UnwrapRef<typeof import('pinia')['setMapStoreSuffix']>
+    readonly setupStore: UnwrapRef<typeof import('./src/store/index')['setupStore']>
+    readonly shallowReactive: UnwrapRef<typeof import('vue')['shallowReactive']>
+    readonly shallowReadonly: UnwrapRef<typeof import('vue')['shallowReadonly']>
+    readonly shallowRef: UnwrapRef<typeof import('vue')['shallowRef']>
+    readonly store: UnwrapRef<typeof import('./src/store/index')['store']>
+    readonly storeToRefs: UnwrapRef<typeof import('pinia')['storeToRefs']>
+    readonly syncRef: UnwrapRef<typeof import('@vueuse/core')['syncRef']>
+    readonly syncRefs: UnwrapRef<typeof import('@vueuse/core')['syncRefs']>
+    readonly templateRef: UnwrapRef<typeof import('@vueuse/core')['templateRef']>
+    readonly throttledRef: UnwrapRef<typeof import('@vueuse/core')['throttledRef']>
+    readonly throttledWatch: UnwrapRef<typeof import('@vueuse/core')['throttledWatch']>
+    readonly toRaw: UnwrapRef<typeof import('vue')['toRaw']>
+    readonly toReactive: UnwrapRef<typeof import('@vueuse/core')['toReactive']>
+    readonly toRef: UnwrapRef<typeof import('vue')['toRef']>
+    readonly toRefs: UnwrapRef<typeof import('vue')['toRefs']>
+    readonly triggerRef: UnwrapRef<typeof import('vue')['triggerRef']>
+    readonly tryOnBeforeMount: UnwrapRef<typeof import('@vueuse/core')['tryOnBeforeMount']>
+    readonly tryOnBeforeUnmount: UnwrapRef<typeof import('@vueuse/core')['tryOnBeforeUnmount']>
+    readonly tryOnMounted: UnwrapRef<typeof import('@vueuse/core')['tryOnMounted']>
+    readonly tryOnScopeDispose: UnwrapRef<typeof import('@vueuse/core')['tryOnScopeDispose']>
+    readonly tryOnUnmounted: UnwrapRef<typeof import('@vueuse/core')['tryOnUnmounted']>
+    readonly unref: UnwrapRef<typeof import('vue')['unref']>
+    readonly unrefElement: UnwrapRef<typeof import('@vueuse/core')['unrefElement']>
+    readonly until: UnwrapRef<typeof import('@vueuse/core')['until']>
+    readonly useActiveElement: UnwrapRef<typeof import('@vueuse/core')['useActiveElement']>
+    readonly useApiDetailsRequest: UnwrapRef<typeof import('./src/composables/useApi')['useApiDetailsRequest']>
+    readonly useArrayEvery: UnwrapRef<typeof import('@vueuse/core')['useArrayEvery']>
+    readonly useArrayFilter: UnwrapRef<typeof import('@vueuse/core')['useArrayFilter']>
+    readonly useArrayFind: UnwrapRef<typeof import('@vueuse/core')['useArrayFind']>
+    readonly useArrayFindIndex: UnwrapRef<typeof import('@vueuse/core')['useArrayFindIndex']>
+    readonly useArrayFindLast: UnwrapRef<typeof import('@vueuse/core')['useArrayFindLast']>
+    readonly useArrayJoin: UnwrapRef<typeof import('@vueuse/core')['useArrayJoin']>
+    readonly useArrayMap: UnwrapRef<typeof import('@vueuse/core')['useArrayMap']>
+    readonly useArrayReduce: UnwrapRef<typeof import('@vueuse/core')['useArrayReduce']>
+    readonly useArraySome: UnwrapRef<typeof import('@vueuse/core')['useArraySome']>
+    readonly useArrayUnique: UnwrapRef<typeof import('@vueuse/core')['useArrayUnique']>
+    readonly useAsset: UnwrapRef<typeof import('./src/composables/useUtil')['useAsset']>
+    readonly useAsyncQueue: UnwrapRef<typeof import('@vueuse/core')['useAsyncQueue']>
+    readonly useAsyncState: UnwrapRef<typeof import('@vueuse/core')['useAsyncState']>
+    readonly useAttrs: UnwrapRef<typeof import('vue')['useAttrs']>
+    readonly useAuthStore: UnwrapRef<typeof import('./src/store/modules/auth')['useAuthStore']>
+    readonly useAuthStoreOut: UnwrapRef<typeof import('./src/store/modules/auth')['useAuthStoreOut']>
+    readonly useBase64: UnwrapRef<typeof import('@vueuse/core')['useBase64']>
+    readonly useBattery: UnwrapRef<typeof import('@vueuse/core')['useBattery']>
+    readonly useBluetooth: UnwrapRef<typeof import('@vueuse/core')['useBluetooth']>
+    readonly useBreakpoints: UnwrapRef<typeof import('@vueuse/core')['useBreakpoints']>
+    readonly useBroadcastChannel: UnwrapRef<typeof import('@vueuse/core')['useBroadcastChannel']>
+    readonly useBrowserLocation: UnwrapRef<typeof import('@vueuse/core')['useBrowserLocation']>
+    readonly useCached: UnwrapRef<typeof import('@vueuse/core')['useCached']>
+    readonly useChart: UnwrapRef<typeof import('./src/composables/useChart')['useChart']>
+    readonly useChatRequest: UnwrapRef<typeof import('./src/composables/useApi')['useChatRequest']>
+    readonly useCheckAuth: UnwrapRef<typeof import('./src/composables/useUtil')['useCheckAuth']>
+    readonly useCheckPhoneRequest: UnwrapRef<typeof import('./src/composables/useApi')['useCheckPhoneRequest']>
+    readonly useCheckTokenRequest: UnwrapRef<typeof import('./src/composables/useApi')['useCheckTokenRequest']>
+    readonly useClearLocalCache: UnwrapRef<typeof import('./src/composables/useUtil')['useClearLocalCache']>
+    readonly useClipboard: UnwrapRef<typeof import('@vueuse/core')['useClipboard']>
+    readonly useCloned: UnwrapRef<typeof import('@vueuse/core')['useCloned']>
+    readonly useColorMode: UnwrapRef<typeof import('@vueuse/core')['useColorMode']>
+    readonly useConfigStore: UnwrapRef<typeof import('./src/store/modules/config')['useConfigStore']>
+    readonly useConfirmDialog: UnwrapRef<typeof import('@vueuse/core')['useConfirmDialog']>
+    readonly useCounter: UnwrapRef<typeof import('@vueuse/core')['useCounter']>
+    readonly useCreateCopyDom: UnwrapRef<typeof import('./src/composables/useUtil')['useCreateCopyDom']>
+    readonly useCrypto: UnwrapRef<typeof import('./src/composables/useCrypto')['default']>
+    readonly useCssModule: UnwrapRef<typeof import('vue')['useCssModule']>
+    readonly useCssVar: UnwrapRef<typeof import('@vueuse/core')['useCssVar']>
+    readonly useCssVars: UnwrapRef<typeof import('vue')['useCssVars']>
+    readonly useCurrentElement: UnwrapRef<typeof import('@vueuse/core')['useCurrentElement']>
+    readonly useCycleList: UnwrapRef<typeof import('@vueuse/core')['useCycleList']>
+    readonly useDark: UnwrapRef<typeof import('@vueuse/core')['useDark']>
+    readonly useDateFormat: UnwrapRef<typeof import('@vueuse/core')['useDateFormat']>
+    readonly useDebounce: UnwrapRef<typeof import('@vueuse/core')['useDebounce']>
+    readonly useDebounceFn: UnwrapRef<typeof import('@vueuse/core')['useDebounceFn']>
+    readonly useDebouncedRefHistory: UnwrapRef<typeof import('@vueuse/core')['useDebouncedRefHistory']>
+    readonly useDeleteHistoryRequest: UnwrapRef<typeof import('./src/composables/useApi')['useDeleteHistoryRequest']>
+    readonly useDetailRequest: UnwrapRef<typeof import('./src/composables/useApi')['useDetailRequest']>
+    readonly useDeviceMotion: UnwrapRef<typeof import('@vueuse/core')['useDeviceMotion']>
+    readonly useDeviceOrientation: UnwrapRef<typeof import('@vueuse/core')['useDeviceOrientation']>
+    readonly useDevicePixelRatio: UnwrapRef<typeof import('@vueuse/core')['useDevicePixelRatio']>
+    readonly useDevicesList: UnwrapRef<typeof import('@vueuse/core')['useDevicesList']>
+    readonly useDisplayMedia: UnwrapRef<typeof import('@vueuse/core')['useDisplayMedia']>
+    readonly useDocumentVisibility: UnwrapRef<typeof import('@vueuse/core')['useDocumentVisibility']>
+    readonly useDraggable: UnwrapRef<typeof import('@vueuse/core')['useDraggable']>
+    readonly useDropZone: UnwrapRef<typeof import('@vueuse/core')['useDropZone']>
+    readonly useElementBounding: UnwrapRef<typeof import('@vueuse/core')['useElementBounding']>
+    readonly useElementByPoint: UnwrapRef<typeof import('@vueuse/core')['useElementByPoint']>
+    readonly useElementHover: UnwrapRef<typeof import('@vueuse/core')['useElementHover']>
+    readonly useElementSize: UnwrapRef<typeof import('@vueuse/core')['useElementSize']>
+    readonly useElementVisibility: UnwrapRef<typeof import('@vueuse/core')['useElementVisibility']>
+    readonly useEmailCodeRequest: UnwrapRef<typeof import('./src/composables/useApi')['useEmailCodeRequest']>
+    readonly useEventBus: UnwrapRef<typeof import('@vueuse/core')['useEventBus']>
+    readonly useEventListener: UnwrapRef<typeof import('@vueuse/core')['useEventListener']>
+    readonly useEventSource: UnwrapRef<typeof import('@vueuse/core')['useEventSource']>
+    readonly useEyeDropper: UnwrapRef<typeof import('@vueuse/core')['useEyeDropper']>
+    readonly useFavicon: UnwrapRef<typeof import('@vueuse/core')['useFavicon']>
+    readonly useFeedbackRequest: UnwrapRef<typeof import('./src/composables/useApi')['useFeedbackRequest']>
+    readonly useFetch: UnwrapRef<typeof import('@vueuse/core')['useFetch']>
+    readonly useFileDialog: UnwrapRef<typeof import('@vueuse/core')['useFileDialog']>
+    readonly useFileSystemAccess: UnwrapRef<typeof import('@vueuse/core')['useFileSystemAccess']>
+    readonly useFocus: UnwrapRef<typeof import('@vueuse/core')['useFocus']>
+    readonly useFocusWithin: UnwrapRef<typeof import('@vueuse/core')['useFocusWithin']>
+    readonly useFps: UnwrapRef<typeof import('@vueuse/core')['useFps']>
+    readonly useFullscreen: UnwrapRef<typeof import('@vueuse/core')['useFullscreen']>
+    readonly useGamepad: UnwrapRef<typeof import('@vueuse/core')['useGamepad']>
+    readonly useGeolocation: UnwrapRef<typeof import('@vueuse/core')['useGeolocation']>
+    readonly useGetLocalCache: UnwrapRef<typeof import('./src/composables/useUtil')['useGetLocalCache']>
+    readonly useHistoryByIdRequest: UnwrapRef<typeof import('./src/composables/useApi')['useHistoryByIdRequest']>
+    readonly useHistoryListRequest: UnwrapRef<typeof import('./src/composables/useApi')['useHistoryListRequest']>
+    readonly useHistoryTalkStore: UnwrapRef<typeof import('./src/store/modules/talk')['useHistoryTalkStore']>
+    readonly useIdle: UnwrapRef<typeof import('@vueuse/core')['useIdle']>
+    readonly useImage: UnwrapRef<typeof import('@vueuse/core')['useImage']>
+    readonly useInfiniteScroll: UnwrapRef<typeof import('@vueuse/core')['useInfiniteScroll']>
+    readonly useInitWaterMark: UnwrapRef<typeof import('./src/composables/useUtil')['useInitWaterMark']>
+    readonly useIntersectionObserver: UnwrapRef<typeof import('@vueuse/core')['useIntersectionObserver']>
+    readonly useInterval: UnwrapRef<typeof import('@vueuse/core')['useInterval']>
+    readonly useIntervalFn: UnwrapRef<typeof import('@vueuse/core')['useIntervalFn']>
+    readonly useIsExistSensitive: UnwrapRef<typeof import('./src/composables/useSensitive')['useIsExistSensitive']>
+    readonly useIsMac: UnwrapRef<typeof import('./src/composables/useUtil')['useIsMac']>
+    readonly useKeyModifier: UnwrapRef<typeof import('@vueuse/core')['useKeyModifier']>
+    readonly useLastChanged: UnwrapRef<typeof import('@vueuse/core')['useLastChanged']>
+    readonly useLink: UnwrapRef<typeof import('vue-router')['useLink']>
+    readonly useLocalStorage: UnwrapRef<typeof import('@vueuse/core')['useLocalStorage']>
+    readonly useLoginRequest: UnwrapRef<typeof import('./src/composables/useApi')['useLoginRequest']>
+    readonly useLogoutRequest: UnwrapRef<typeof import('./src/composables/useApi')['useLogoutRequest']>
+    readonly useMagicKeys: UnwrapRef<typeof import('@vueuse/core')['useMagicKeys']>
+    readonly useManualRefHistory: UnwrapRef<typeof import('@vueuse/core')['useManualRefHistory']>
+    readonly useMediaControls: UnwrapRef<typeof import('@vueuse/core')['useMediaControls']>
+    readonly useMediaQuery: UnwrapRef<typeof import('@vueuse/core')['useMediaQuery']>
+    readonly useMemoize: UnwrapRef<typeof import('@vueuse/core')['useMemoize']>
+    readonly useMemory: UnwrapRef<typeof import('@vueuse/core')['useMemory']>
+    readonly useMobileCodeRequest: UnwrapRef<typeof import('./src/composables/useApi')['useMobileCodeRequest']>
+    readonly useMounted: UnwrapRef<typeof import('@vueuse/core')['useMounted']>
+    readonly useMouse: UnwrapRef<typeof import('@vueuse/core')['useMouse']>
+    readonly useMouseInElement: UnwrapRef<typeof import('@vueuse/core')['useMouseInElement']>
+    readonly useMousePressed: UnwrapRef<typeof import('@vueuse/core')['useMousePressed']>
+    readonly useMutationObserver: UnwrapRef<typeof import('@vueuse/core')['useMutationObserver']>
+    readonly useNavigateTo: UnwrapRef<typeof import('./src/composables/useUtil')['useNavigateTo']>
+    readonly useNavigatorLanguage: UnwrapRef<typeof import('@vueuse/core')['useNavigatorLanguage']>
+    readonly useNetwork: UnwrapRef<typeof import('@vueuse/core')['useNetwork']>
+    readonly useNow: UnwrapRef<typeof import('@vueuse/core')['useNow']>
+    readonly useObjectUrl: UnwrapRef<typeof import('@vueuse/core')['useObjectUrl']>
+    readonly useOffsetPagination: UnwrapRef<typeof import('@vueuse/core')['useOffsetPagination']>
+    readonly useOnline: UnwrapRef<typeof import('@vueuse/core')['useOnline']>
+    readonly usePageLeave: UnwrapRef<typeof import('@vueuse/core')['usePageLeave']>
+    readonly useParallax: UnwrapRef<typeof import('@vueuse/core')['useParallax']>
+    readonly usePermission: UnwrapRef<typeof import('@vueuse/core')['usePermission']>
+    readonly usePointer: UnwrapRef<typeof import('@vueuse/core')['usePointer']>
+    readonly usePointerLock: UnwrapRef<typeof import('@vueuse/core')['usePointerLock']>
+    readonly usePointerSwipe: UnwrapRef<typeof import('@vueuse/core')['usePointerSwipe']>
+    readonly usePreferredColorScheme: UnwrapRef<typeof import('@vueuse/core')['usePreferredColorScheme']>
+    readonly usePreferredContrast: UnwrapRef<typeof import('@vueuse/core')['usePreferredContrast']>
+    readonly usePreferredDark: UnwrapRef<typeof import('@vueuse/core')['usePreferredDark']>
+    readonly usePreferredLanguages: UnwrapRef<typeof import('@vueuse/core')['usePreferredLanguages']>
+    readonly usePreferredReducedMotion: UnwrapRef<typeof import('@vueuse/core')['usePreferredReducedMotion']>
+    readonly usePrevious: UnwrapRef<typeof import('@vueuse/core')['usePrevious']>
+    readonly useQueryChatRequest: UnwrapRef<typeof import('./src/composables/useApi')['useQueryChatRequest']>
+    readonly useRafFn: UnwrapRef<typeof import('@vueuse/core')['useRafFn']>
+    readonly useRefHistory: UnwrapRef<typeof import('@vueuse/core')['useRefHistory']>
+    readonly useRegisterRequest: UnwrapRef<typeof import('./src/composables/useApi')['useRegisterRequest']>
+    readonly useResizeObserver: UnwrapRef<typeof import('@vueuse/core')['useResizeObserver']>
+    readonly useRoundStore: UnwrapRef<typeof import('./src/store/modules/round')['useRoundStore']>
+    readonly useRoute: UnwrapRef<typeof import('vue-router')['useRoute']>
+    readonly useRouter: UnwrapRef<typeof import('vue-router')['useRouter']>
+    readonly useSSE: UnwrapRef<typeof import('./src/composables/useSSE')['default']>
+    readonly useScreenOrientation: UnwrapRef<typeof import('@vueuse/core')['useScreenOrientation']>
+    readonly useScreenSafeArea: UnwrapRef<typeof import('@vueuse/core')['useScreenSafeArea']>
+    readonly useScriptTag: UnwrapRef<typeof import('@vueuse/core')['useScriptTag']>
+    readonly useScroll: UnwrapRef<typeof import('@vueuse/core')['useScroll']>
+    readonly useScrollLock: UnwrapRef<typeof import('@vueuse/core')['useScrollLock']>
+    readonly useSessionStorage: UnwrapRef<typeof import('@vueuse/core')['useSessionStorage']>
+    readonly useSetLocalCache: UnwrapRef<typeof import('./src/composables/useUtil')['useSetLocalCache']>
+    readonly useShare: UnwrapRef<typeof import('@vueuse/core')['useShare']>
+    readonly useSharedConvsRequest: UnwrapRef<typeof import('./src/composables/useApi')['useSharedConvsRequest']>
+    readonly useSignUpRequest: UnwrapRef<typeof import('./src/composables/useApi')['useSignUpRequest']>
+    readonly useSlots: UnwrapRef<typeof import('vue')['useSlots']>
+    readonly useSorted: UnwrapRef<typeof import('@vueuse/core')['useSorted']>
+    readonly useSpeechRecognition: UnwrapRef<typeof import('@vueuse/core')['useSpeechRecognition']>
+    readonly useSpeechSynthesis: UnwrapRef<typeof import('@vueuse/core')['useSpeechSynthesis']>
+    readonly useStepper: UnwrapRef<typeof import('@vueuse/core')['useStepper']>
+    readonly useStorage: UnwrapRef<typeof import('@vueuse/core')['useStorage']>
+    readonly useStorageAsync: UnwrapRef<typeof import('@vueuse/core')['useStorageAsync']>
+    readonly useStyleTag: UnwrapRef<typeof import('@vueuse/core')['useStyleTag']>
+    readonly useSupported: UnwrapRef<typeof import('@vueuse/core')['useSupported']>
+    readonly useSwipe: UnwrapRef<typeof import('@vueuse/core')['useSwipe']>
+    readonly useTemplateRefsList: UnwrapRef<typeof import('@vueuse/core')['useTemplateRefsList']>
+    readonly useTextDirection: UnwrapRef<typeof import('@vueuse/core')['useTextDirection']>
+    readonly useTextSelection: UnwrapRef<typeof import('@vueuse/core')['useTextSelection']>
+    readonly useTextareaAutosize: UnwrapRef<typeof import('@vueuse/core')['useTextareaAutosize']>
+    readonly useThrottle: UnwrapRef<typeof import('@vueuse/core')['useThrottle']>
+    readonly useThrottleFn: UnwrapRef<typeof import('@vueuse/core')['useThrottleFn']>
+    readonly useThrottledRefHistory: UnwrapRef<typeof import('@vueuse/core')['useThrottledRefHistory']>
+    readonly useTimeAgo: UnwrapRef<typeof import('@vueuse/core')['useTimeAgo']>
+    readonly useTimeout: UnwrapRef<typeof import('@vueuse/core')['useTimeout']>
+    readonly useTimeoutFn: UnwrapRef<typeof import('@vueuse/core')['useTimeoutFn']>
+    readonly useTimeoutPoll: UnwrapRef<typeof import('@vueuse/core')['useTimeoutPoll']>
+    readonly useTimestamp: UnwrapRef<typeof import('@vueuse/core')['useTimestamp']>
+    readonly useTitle: UnwrapRef<typeof import('@vueuse/core')['useTitle']>
+    readonly useToNumber: UnwrapRef<typeof import('@vueuse/core')['useToNumber']>
+    readonly useToString: UnwrapRef<typeof import('@vueuse/core')['useToString']>
+    readonly useToggle: UnwrapRef<typeof import('@vueuse/core')['useToggle']>
+    readonly useTransition: UnwrapRef<typeof import('@vueuse/core')['useTransition']>
+    readonly useUrlSearchParams: UnwrapRef<typeof import('@vueuse/core')['useUrlSearchParams']>
+    readonly useUserMedia: UnwrapRef<typeof import('@vueuse/core')['useUserMedia']>
+    readonly useUserStore: UnwrapRef<typeof import('./src/store/modules/user')['useUserStore']>
+    readonly useVModel: UnwrapRef<typeof import('@vueuse/core')['useVModel']>
+    readonly useVModels: UnwrapRef<typeof import('@vueuse/core')['useVModels']>
+    readonly useValidEmail: UnwrapRef<typeof import('./src/composables/useValid')['useValidEmail']>
+    readonly useValidPhone: UnwrapRef<typeof import('./src/composables/useValid')['useValidPhone']>
+    readonly useVibrate: UnwrapRef<typeof import('@vueuse/core')['useVibrate']>
+    readonly useVirtualList: UnwrapRef<typeof import('@vueuse/core')['useVirtualList']>
+    readonly useWakeLock: UnwrapRef<typeof import('@vueuse/core')['useWakeLock']>
+    readonly useWebNotification: UnwrapRef<typeof import('@vueuse/core')['useWebNotification']>
+    readonly useWebSocket: UnwrapRef<typeof import('@vueuse/core')['useWebSocket']>
+    readonly useWebWorker: UnwrapRef<typeof import('@vueuse/core')['useWebWorker']>
+    readonly useWebWorkerFn: UnwrapRef<typeof import('@vueuse/core')['useWebWorkerFn']>
+    readonly useWindowFocus: UnwrapRef<typeof import('@vueuse/core')['useWindowFocus']>
+    readonly useWindowOpen: UnwrapRef<typeof import('./src/composables/useUtil')['useWindowOpen']>
+    readonly useWindowScroll: UnwrapRef<typeof import('@vueuse/core')['useWindowScroll']>
+    readonly useWindowSize: UnwrapRef<typeof import('@vueuse/core')['useWindowSize']>
+    readonly watch: UnwrapRef<typeof import('vue')['watch']>
+    readonly watchArray: UnwrapRef<typeof import('@vueuse/core')['watchArray']>
+    readonly watchAtMost: UnwrapRef<typeof import('@vueuse/core')['watchAtMost']>
+    readonly watchDebounced: UnwrapRef<typeof import('@vueuse/core')['watchDebounced']>
+    readonly watchEffect: UnwrapRef<typeof import('vue')['watchEffect']>
+    readonly watchIgnorable: UnwrapRef<typeof import('@vueuse/core')['watchIgnorable']>
+    readonly watchOnce: UnwrapRef<typeof import('@vueuse/core')['watchOnce']>
+    readonly watchPausable: UnwrapRef<typeof import('@vueuse/core')['watchPausable']>
+    readonly watchPostEffect: UnwrapRef<typeof import('vue')['watchPostEffect']>
+    readonly watchSyncEffect: UnwrapRef<typeof import('vue')['watchSyncEffect']>
+    readonly watchThrottled: UnwrapRef<typeof import('@vueuse/core')['watchThrottled']>
+    readonly watchTriggerable: UnwrapRef<typeof import('@vueuse/core')['watchTriggerable']>
+    readonly watchWithFilter: UnwrapRef<typeof import('@vueuse/core')['watchWithFilter']>
+    readonly whenever: UnwrapRef<typeof import('@vueuse/core')['whenever']>
+  }
+}
diff --git a/AgentVerseWeb/commitlint.config.cjs b/AgentVerseWeb/commitlint.config.cjs
new file mode 100644
index 000000000..59c289097
--- /dev/null
+++ b/AgentVerseWeb/commitlint.config.cjs
@@ -0,0 +1,25 @@
+module.exports = {
+  ignores: [(commit) => commit.includes('init')],
+  extends: ['@commitlint/config-conventional'],
+  rules: {
+    'body-leading-blank': [2, 'always'],
+    'footer-leading-blank': [1, 'always'],
+    'header-max-length': [2, 'always', 108],
+    'subject-empty': [2, 'never'],
+    'type-empty': [2, 'never'],
+    'type-enum': [
+      2,
+      'always',
+      ['feat', 'fix', 'docs', 'chore', 'style', 'refactor', 'ci', 'test', 'revert', 'perf', 'build', 'vercel'],
+      // ① build：对构建系统或者外部依赖项进行了修改
+      // ② ci：对CI配置文件或脚本进行了修改
+      // ③ docs：对文档进行了修改
+      // ④ feat：增加新的特征
+      // ⑤ fix：修复bug
+      // ⑥ pref：提高性能的代码更改
+      // ⑦ refactor：既不是修复bug也不是添加特征的代码重构
+      // ⑧ style：不影响代码含义的修改，比如空格、格式化、缺失的分号等
+      // ⑨ test：增加确实的测试或者矫正已存在的测试
+    ],
+  },
+}
diff --git a/AgentVerseWeb/components.d.ts b/AgentVerseWeb/components.d.ts
new file mode 100644
index 000000000..33aa5bee6
--- /dev/null
+++ b/AgentVerseWeb/components.d.ts
@@ -0,0 +1,43 @@
+// generated by unplugin-vue-components
+// We suggest you to commit this file into source control
+// Read more: https://github.com/vuejs/core/pull/3399
+import '@vue/runtime-core'
+
+export {}
+
+declare module '@vue/runtime-core' {
+  export interface GlobalComponents {
+    ElButton: typeof import('element-plus/es')['ElButton']
+    ElCollapse: typeof import('element-plus/es')['ElCollapse']
+    ElCollapseItem: typeof import('element-plus/es')['ElCollapseItem']
+    ElDialog: typeof import('element-plus/es')['ElDialog']
+    ElDivider: typeof import('element-plus/es')['ElDivider']
+    ElDropdown: typeof import('element-plus/es')['ElDropdown']
+    ElDropdownItem: typeof import('element-plus/es')['ElDropdownItem']
+    ElDropdownMenu: typeof import('element-plus/es')['ElDropdownMenu']
+    ElIcon: typeof import('element-plus/es')['ElIcon']
+    ElInput: typeof import('element-plus/es')['ElInput']
+    ElOption: typeof import('element-plus/es')['ElOption']
+    ElPagination: typeof import('element-plus/es')['ElPagination']
+    ElPopconfirm: typeof import('element-plus/es')['ElPopconfirm']
+    ElRow: typeof import('element-plus/es')['ElRow']
+    ElSelect: typeof import('element-plus/es')['ElSelect']
+    ElSkeleton: typeof import('element-plus/es')['ElSkeleton']
+    ElSkeletonItem: typeof import('element-plus/es')['ElSkeletonItem']
+    ElTabPane: typeof import('element-plus/es')['ElTabPane']
+    ElTabs: typeof import('element-plus/es')['ElTabs']
+    ElTooltip: typeof import('element-plus/es')['ElTooltip']
+    ElUpload: typeof import('element-plus/es')['ElUpload']
+    Feedback: typeof import('./src/components/Business/Feedback/index.vue')['default']
+    IconBad: typeof import('./src/components/Icons/IconBad.vue')['default']
+    IconCopy: typeof import('./src/components/Icons/IconCopy.vue')['default']
+    IconDelete: typeof import('./src/components/Icons/IconDelete.vue')['default']
+    IconEdit: typeof import('./src/components/Icons/IconEdit.vue')['default']
+    IconGood: typeof import('./src/components/Icons/IconGood.vue')['default']
+    LoadingDot: typeof import('./src/components/Loading/LoadingDot.vue')['default']
+    RouterLink: typeof import('vue-router')['RouterLink']
+    RouterView: typeof import('vue-router')['RouterView']
+    SwitchChat: typeof import('./src/components/Business/SwitchChat/index.vue')['default']
+    TalkInput: typeof import('./src/components/Business/TalkInput/index.vue')['default']
+  }
+}
diff --git a/AgentVerseWeb/index.html b/AgentVerseWeb/index.html
new file mode 100644
index 000000000..8fba292ed
--- /dev/null
+++ b/AgentVerseWeb/index.html
@@ -0,0 +1,22 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+  <meta charset="UTF-8" />
+  <link rel="icon" type="image/svg+xml" href="./favicon.ico" />
+  <meta name="viewport" content="width=device-width, initial-scale=1">
+  <meta name="keyword"
+    content="AgentVerse,AgentVerse,AgentVerse。ModelForce,CPM大模型,Big Models for Everyone,OpenBMB,cpmlive,CPM-Live,cpmbee,CPM-Bee,人工智能,清华大学NLP实验室,大模型,nlp,自然语言,推理,训练">
+  <meta name="description" content="AgentVerse - powered by THUNLP, large models for everyone">
+  <title>
+    AgentVerse
+  </title>
+</head>
+
+<body>
+  <div id="app"></div>
+  <script type="module" src="/src/main.ts"></script>
+  <script src="/third/mathjax/tex-mml-chtml.js"></script>
+</body>
+
+</html>
\ No newline at end of file
diff --git a/AgentVerseWeb/package-lock.json b/AgentVerseWeb/package-lock.json
new file mode 100644
index 000000000..7190eeff1
--- /dev/null
+++ b/AgentVerseWeb/package-lock.json
@@ -0,0 +1,14372 @@
+{
+  "name": "agentverse",
+  "version": "0.0.0",
+  "lockfileVersion": 2,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "agentverse",
+      "version": "0.0.0",
+      "dependencies": {
+        "@codemirror/lang-python": "^6.1.3",
+        "@codemirror/theme-one-dark": "^6.1.2",
+        "@element-plus/icons-vue": "^2.1.0",
+        "@types/crypto-js": "^4.1.1",
+        "codemirror": "^6.0.1",
+        "element-plus": "^2.2.28",
+        "primevue": "^3.34.1",
+        "sass": "^1.57.1",
+        "sass-loader": "^13.2.0",
+        "save": "^2.9.0",
+        "uuid": "^9.0.1",
+        "v-viewer": "^3.0.10",
+        "viewer": "0.10.11",
+        "viewerjs": "^1.11.6",
+        "vue": "^3.2.45",
+        "vue-codemirror": "^6.1.1",
+        "vue-json-viewer": "^3.0.4",
+        "vue-router": "^4.1.6"
+      },
+      "devDependencies": {
+        "@commitlint/cli": "^17.3.0",
+        "@commitlint/config-conventional": "^17.3.0",
+        "@iconify/json": "^2.2.14",
+        "@tinymce/tinymce-vue": "^5",
+        "@types/markdown-it": "^12.2.3",
+        "@types/marked": "^4.0.8",
+        "@types/node": "^18.14.6",
+        "@types/uuid": "^9.0.3",
+        "@typescript-eslint/parser": "^5.49.0",
+        "@vitejs/plugin-vue": "^4.0.0",
+        "@vueuse/core": "^9.12.0",
+        "axios": "^1.3.4",
+        "clipboard": "^2.0.11",
+        "cross-env": "^7.0.3",
+        "crypto-js": "^4.1.1",
+        "dompurify": "^3.0.1",
+        "eslint": "^8.33.0",
+        "eslint-plugin-vue": "^9.9.0",
+        "highlight.js": "^11.7.0",
+        "lint-staged": "^13.2.0",
+        "markdown-it": "^13.0.1",
+        "marked": "^4.3.0",
+        "nanoid": "^4.0.1",
+        "pinia": "^2.0.32",
+        "typescript": "^4.9.3",
+        "unplugin-auto-import": "^0.13.0",
+        "unplugin-icons": "^0.15.2",
+        "unplugin-vue-components": "^0.23.0",
+        "vite": "^4.0.0",
+        "vite-plugin-banner": "^0.7.0",
+        "vite-plugin-html": "^3.2.0",
+        "vue-i18n": "^9.2.2",
+        "vue-tsc": "^1.0.11"
+      }
+    },
+    "node_modules/@aashutoshrathi/word-wrap": {
+      "version": "1.2.6",
+      "resolved": "https://registry.npmjs.org/@aashutoshrathi/word-wrap/-/word-wrap-1.2.6.tgz",
+      "integrity": "sha512-1Yjs2SvM8TflER/OD3cOjhWWOZb58A2t7wpE2S9XfBYTiIl+XFhQG2bjy4Pu1I+EAlCNUzRDYDdFwFYUKvXcIA==",
+      "dev": true,
+      "engines": {
+        "node": ">=0.10.0"
+      }
+    },
+    "node_modules/@ampproject/remapping": {
+      "version": "2.2.1",
+      "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz",
+      "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==",
+      "dev": true,
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+      },
+      "engines": {
+        "node": ">=6.0.0"
+      }
+    },
+    "node_modules/@antfu/install-pkg": {
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+      "resolved": "https://registry.npmjs.org/@antfu/install-pkg/-/install-pkg-0.1.1.tgz",
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+      "dev": true,
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+        "find-up": "^5.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/sponsors/antfu"
+      }
+    },
+    "node_modules/@antfu/utils": {
+      "version": "0.7.6",
+      "resolved": "https://registry.npmjs.org/@antfu/utils/-/utils-0.7.6.tgz",
+      "integrity": "sha512-pvFiLP2BeOKA/ZOS6jxx4XhKzdVLHDhGlFEaZ2flWWYf2xOqVniqpk38I04DFRyz+L0ASggl7SkItTc+ZLju4w==",
+      "dev": true,
+      "funding": {
+        "url": "https://github.com/sponsors/antfu"
+      }
+    },
+    "node_modules/@babel/code-frame": {
+      "version": "7.22.13",
+      "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.22.13.tgz",
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+        "chalk": "^2.4.2"
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+      }
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diff --git a/AgentVerseWeb/package.json b/AgentVerseWeb/package.json
new file mode 100644
index 000000000..ce09e4fec
--- /dev/null
+++ b/AgentVerseWeb/package.json
@@ -0,0 +1,77 @@
+{
+  "name": "agentverse",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite --host",
+    "build": "vite build",
+    "build:test": "npm run clean && vue-tsc &&cross-env type=test vite build && npm run zip:test",
+    "build:prod": "npm run clean && vue-tsc && cross-env type=prod vite build && npm run zip:prod",
+    "build:prod_docker": "npm run clean && vue-tsc && cross-env type=prod vite build",
+    "clean": "rm -r -f dist $npm_package_name.test.zip $npm_package_name.zip",
+    "zip:test": "zip -r -q $npm_package_name.test.zip dist",
+    "zip:prod": "zip -r -q $npm_package_name.zip dist"
+  },
+  "dependencies": {
+    "@codemirror/lang-python": "^6.1.3",
+    "@codemirror/theme-one-dark": "^6.1.2",
+    "@element-plus/icons-vue": "^2.1.0",
+    "@types/crypto-js": "^4.1.1",
+    "codemirror": "^6.0.1",
+    "element-plus": "^2.2.28",
+    "primevue": "^3.34.1",
+    "sass": "^1.57.1",
+    "sass-loader": "^13.2.0",
+    "save": "^2.9.0",
+    "uuid": "^9.0.1",
+    "viewerjs": "^1.11.6",
+    "vue": "^3.2.45",
+    "vue-codemirror": "^6.1.1",
+    "vue-json-viewer": "^3.0.4",
+    "vue-router": "^4.1.6",
+    "v-viewer": "^3.0.10",
+    "viewer": "0.10.11"
+  },
+  "devDependencies": {
+    "@commitlint/cli": "^17.3.0",
+    "@commitlint/config-conventional": "^17.3.0",
+    "@iconify/json": "^2.2.14",
+    "@tinymce/tinymce-vue": "^5",
+    "@types/markdown-it": "^12.2.3",
+    "@types/marked": "^4.0.8",
+    "@types/node": "^18.14.6",
+    "@types/uuid": "^9.0.3",
+    "@typescript-eslint/parser": "^5.49.0",
+    "@vitejs/plugin-vue": "^4.0.0",
+    "@vueuse/core": "^9.12.0",
+    "axios": "^1.3.4",
+    "clipboard": "^2.0.11",
+    "cross-env": "^7.0.3",
+    "crypto-js": "^4.1.1",
+    "dompurify": "^3.0.1",
+    "eslint": "^8.33.0",
+    "eslint-plugin-vue": "^9.9.0",
+    "highlight.js": "^11.7.0",
+    "lint-staged": "^13.2.0",
+    "markdown-it": "^13.0.1",
+    "marked": "^4.3.0",
+    "nanoid": "^4.0.1",
+    "pinia": "^2.0.32",
+    "typescript": "^4.9.3",
+    "unplugin-auto-import": "^0.13.0",
+    "unplugin-icons": "^0.15.2",
+    "unplugin-vue-components": "^0.23.0",
+    "vite": "^4.0.0",
+    "vite-plugin-banner": "^0.7.0",
+    "vite-plugin-html": "^3.2.0",
+    "vue-i18n": "^9.2.2",
+    "vue-tsc": "^1.0.11"
+  },
+  "lint-staged": {
+    "**/*.{js,ts,vue}": [
+      "npm run lint",
+      "git add"
+    ]
+  }
+}
\ No newline at end of file
diff --git a/AgentVerseWeb/pnpm-lock.yaml b/AgentVerseWeb/pnpm-lock.yaml
new file mode 100644
index 000000000..650e1a378
--- /dev/null
+++ b/AgentVerseWeb/pnpm-lock.yaml
@@ -0,0 +1,5704 @@
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+  '@types/crypto-js': ^4.1.1
+  '@types/markdown-it': ^12.2.3
+  '@types/marked': ^4.0.8
+  '@types/node': ^18.14.6
+  '@typescript-eslint/parser': ^5.49.0
+  '@vitejs/plugin-vue': ^4.0.0
+  '@vueuse/core': ^9.12.0
+  axios: ^1.3.4
+  clipboard: ^2.0.11
+  cross-env: ^7.0.3
+  crypto-js: ^4.1.1
+  dompurify: ^3.0.1
+  element-plus: ^2.2.28
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+  nanoid: ^4.0.1
+  pinia: ^2.0.32
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+  typescript: ^4.9.3
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+  vue: ^3.2.45
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+  eslint-plugin-vue: registry.npmmirror.com/eslint-plugin-vue/9.9.0_eslint@8.33.0
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+  registry.npmmirror.com/wrap-ansi/6.2.0:
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+  registry.npmmirror.com/xml-name-validator/4.0.0:
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+  registry.npmmirror.com/y18n/5.0.8:
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+    name: y18n
+    version: 5.0.8
+    engines: {node: '>=10'}
+    dev: true
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+  registry.npmmirror.com/yallist/3.1.1:
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+  registry.npmmirror.com/yallist/4.0.0:
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+  registry.npmmirror.com/yaml/2.2.1:
+    resolution: {integrity: sha512-e0WHiYql7+9wr4cWMx3TVQrNwejKaEe7/rHNmQmqRjazfOP5W8PB6Jpebb5o6fIapbz9o9+2ipcaTM2ZwDI6lw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/yaml/-/yaml-2.2.1.tgz}
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+    engines: {node: '>= 14'}
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+  registry.npmmirror.com/yargs-parser/20.2.9:
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+    name: yargs-parser
+    version: 20.2.9
+    engines: {node: '>=10'}
+    dev: true
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+  registry.npmmirror.com/yargs-parser/21.1.1:
+    resolution: {integrity: sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/yargs-parser/-/yargs-parser-21.1.1.tgz}
+    name: yargs-parser
+    version: 21.1.1
+    engines: {node: '>=12'}
+    dev: true
+
+  registry.npmmirror.com/yargs/17.7.1:
+    resolution: {integrity: sha512-cwiTb08Xuv5fqF4AovYacTFNxk62th7LKJ6BL9IGUpTJrWoU7/7WdQGTP2SjKf1dUNBGzDd28p/Yfs/GI6JrLw==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/yargs/-/yargs-17.7.1.tgz}
+    name: yargs
+    version: 17.7.1
+    engines: {node: '>=12'}
+    dependencies:
+      cliui: registry.npmmirror.com/cliui/8.0.1
+      escalade: registry.npmmirror.com/escalade/3.1.1
+      get-caller-file: registry.npmmirror.com/get-caller-file/2.0.5
+      require-directory: registry.npmmirror.com/require-directory/2.1.1
+      string-width: registry.npmmirror.com/string-width/4.2.3
+      y18n: registry.npmmirror.com/y18n/5.0.8
+      yargs-parser: registry.npmmirror.com/yargs-parser/21.1.1
+    dev: true
+
+  registry.npmmirror.com/yn/3.1.1:
+    resolution: {integrity: sha512-Ux4ygGWsu2c7isFWe8Yu1YluJmqVhxqK2cLXNQA5AcC3QfbGNpM7fu0Y8b/z16pXLnFxZYvWhd3fhBY9DLmC6Q==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/yn/-/yn-3.1.1.tgz}
+    name: yn
+    version: 3.1.1
+    engines: {node: '>=6'}
+    dev: true
+
+  registry.npmmirror.com/yocto-queue/0.1.0:
+    resolution: {integrity: sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/yocto-queue/-/yocto-queue-0.1.0.tgz}
+    name: yocto-queue
+    version: 0.1.0
+    engines: {node: '>=10'}
+    dev: true
diff --git a/AgentVerseWeb/public/mock-task-res.json b/AgentVerseWeb/public/mock-task-res.json
new file mode 100644
index 000000000..8fcc5b93e
--- /dev/null
+++ b/AgentVerseWeb/public/mock-task-res.json
@@ -0,0 +1,283 @@
+{
+    "tool_recommendation": "工具推荐，随便写点什么",
+    "subtasks": [
+        {
+            "random_id": "1.1",
+            "subtask_id": "1.1",
+            "name": "理解乘法运算",
+            "inner": [
+                {
+                    "thoughts": "在这个子任务中，我们无需进行任何实际的运算。我们只需要理解运算是乘法。明确乘法符号'*'即可。",
+                    "reasoning": "根据给出的问题'10*10=?'，可以清晰地看到，我们面对的是一个乘法运算问题。乘法运算符'*'清晰可见。",
+                    "plan": "理解乘法运算符\n确认任务需求",
+                    "criticism": "当前方案简单明了，没有必要进行过多的操作。但需要注意，我们必须准确理解乘法运算符，否则后续的任务可能会受到影响。",
+                    "node_id": "6ade049267af41a4bef4df19d8d3d0ce",
+                    "is_last": false,
+                    "using_tools": {
+                        "tool_name": "analyze_code",
+                        "tool_input": {
+                            "context": "",
+                            "code": "10 * 10"
+                        },
+                        "tool_output": "Command analyze_code returned: Time Limit Exceeded",
+                        "tool_status_code": "TIME_LIMIT_EXCEEDED",
+                        "thought_data": {
+                            "thought": {
+                                "properties": {
+                                    "thought": "在这个子任务中，我们无需进行任何实际的运算。我们只需要理解运算是乘法。明确乘法符号'*'即可。",
+                                    "reasoning": "根据给出的问题'10*10=?'，可以清晰地看到，我们面对的是一个乘法运算问题。乘法运算符'*'清晰可见。",
+                                    "plan": [
+                                        "理解乘法运算符",
+                                        "确认任务需求"
+                                    ],
+                                    "criticism": "当前方案简单明了，没有必要进行过多的操作。但需要注意，我们必须准确理解乘法运算符，否则后续的任务可能会受到影响。"
+                                }
+                            },
+                            "content": ""
+                        }
+                    }
+                },
+                {
+                    "thoughts": "尽管代码分析工具超时了，但从问题'10*10=?'可以看出，我们面对的运算是乘法。",
+                    "reasoning": "问题中'*'符号代表的是乘法运算。",
+                    "plan": "提交当前任务",
+                    "criticism": "当前没有任何批评。",
+                    "node_id": "34a0258d37ec4d95bb97add110956040",
+                    "is_last": false,
+                    "using_tools": {
+                        "tool_name": "analyze_code",
+                        "tool_input": {
+                            "context": "",
+                            "code": "10 * 10"
+                        },
+                        "tool_output": "Command analyze_code returned: Time Limit Exceeded",
+                        "tool_status_code": "TIME_LIMIT_EXCEEDED",
+                        "thought_data": {
+                            "thought": {
+                                "properties": {
+                                    "thought": "尽管代码分析工具超时了，但从问题'10*10=?'可以看出，我们面对的运算是乘法。",
+                                    "reasoning": "问题中'*'符号代表的是乘法运算。",
+                                    "plan": [
+                                        "提交当前任务"
+                                    ],
+                                    "criticism": "当前没有任何批评。"
+                                }
+                            },
+                            "content": ""
+                        }
+                    }
+                },
+                {
+                    "thoughts": "",
+                    "reasoning": "",
+                    "plan": "",
+                    "criticism": "",
+                    "node_id": "c3bae252ca044125a7aadb1e55f8e233",
+                    "is_last": false,
+                    "using_tools": {
+                        "tool_name": "subtask_submit",
+                        "tool_input": {
+                            "success": true,
+                            "answer": "尽管代码分析工具无法执行，但我们从问题 '10 * 10 = ?' 中明确了要进行的运算是乘法。",
+                            "suggestions_for_latter_subtasks_plan": {
+                                "need_for_plan_refine": false,
+                                "reason": "我们已经明确了我们的任务是进行乘法运算，因此没有必要进一步细化计划。"
+                            }
+                        },
+                        "tool_output": "Command subtask_submit returned: {\"content\": \"you have successfully submit the subtask as SUBMIT_AS_SUCCESS\"}",
+                        "tool_status_code": "SUBMIT_AS_SUCCESS",
+                        "thought_data": {
+                            "thought": {
+                                "properties": {
+                                    "thought": "",
+                                    "reasoning": "",
+                                    "plan": "",
+                                    "criticism": ""
+                                }
+                            },
+                            "content": ""
+                        }
+                    }
+                }
+            ],
+            "is_finished": false,
+            "query": "确定我们要进行的运算是乘法。"
+        },
+        {
+            "random_id": "1.2",
+            "subtask_id": "1.2",
+            "name": "乘法运算",
+            "inner": [
+                {
+                    "thoughts": "我们需要做的是一个简单的乘法运算：“10 * 10”。可以使用'query_wolfram'工具来完成这个计算。",
+                    "reasoning": "Wolfram用于计算和实时获取关于数学、科学、工程、金融、天气等多个领域的信息，适合用来做这种简单的数学运算。",
+                    "plan": "使用'query_wolfram'工具来计算10 * 10，理解其返回结果，然后提交这个子任务。",
+                    "criticism": "这是一个简单的乘法运算，使用'query_wolfram'应该可以非常快速的获得结果。但需要注意由于网络或其他未知因素可能导致工具调用失败或超时，如果发生这种情况，还需要考虑如何处理。",
+                    "node_id": "b45e1c33e00542ce8cc2bae67258d46d",
+                    "is_last": false,
+                    "using_tools": {
+                        "tool_name": "query_wolfram",
+                        "tool_input": {
+                            "query": "10 * 10"
+                        },
+                        "tool_output": "Command query_wolfram returned: WolframAlpha API cannot parse the input query.",
+                        "tool_status_code": "TOOL_CALL_SUCCESS",
+                        "thought_data": {
+                            "thought": {
+                                "properties": {
+                                    "thought": "我们需要做的是一个简单的乘法运算：“10 * 10”。可以使用'query_wolfram'工具来完成这个计算。",
+                                    "reasoning": "Wolfram用于计算和实时获取关于数学、科学、工程、金融、天气等多个领域的信息，适合用来做这种简单的数学运算。",
+                                    "plan": [
+                                        "使用'query_wolfram'工具来计算10 * 10，理解其返回结果，然后提交这个子任务。"
+                                    ],
+                                    "criticism": "这是一个简单的乘法运算，使用'query_wolfram'应该可以非常快速的获得结果。但需要注意由于网络或其他未知因素可能导致工具调用失败或超时，如果发生这种情况，还需要考虑如何处理。"
+                                }
+                            },
+                            "content": ""
+                        }
+                    } //run
+                },
+                {
+                    "thoughts": "",
+                    "reasoning": "",
+                    "plan": "",
+                    "criticism": "",
+                    "node_id": "7ff0f6ac815a40358bf26c96ec1dda4e",
+                    "is_last": false,
+                    "using_tools": {
+                        "tool_name": "subtask_submit",
+                        "tool_input": {
+                            "success": false,
+                            "answer": "尽管我们尝试使用'query_wolfram'工具进行乘法运算，但工具返回消息表示无法解析输入请求。因此，我们未能成功计算出 '10 * 10'的结果。",
+                            "suggestions_for_latter_subtasks_plan": {
+                                "need_for_plan_refine": true,
+                                "reason": "使用'query_wolfram'工具来进行数学运算的方案可能存在问题，需要重新设计方案，或者考虑使用其他工具或方法来计算乘法结果。"
+                            }
+                        },
+                        "tool_output": "Command subtask_submit returned: {\"content\": \"you have successfully submit the subtask as SUBMIT_AS_FAILED\"}",
+                        "tool_status_code": "SUBMIT_AS_FAILED",
+                        "thought_data": {
+                            "thought": {
+                                "properties": {
+                                    "thought": "",
+                                    "reasoning": "",
+                                    "plan": "",
+                                    "criticism": ""
+                                }
+                            },
+                            "content": ""
+                        }
+                    }
+                }
+            ],
+            "is_finished": false,
+            "query": "计算10 * 10的结果。"
+        },
+        {
+            "name": "理解乘法运算",
+            "goal": "确定我们要进行的运算是乘法。",
+            "handler": "new_agent",
+            "tool_budget": 10,
+            "prior_plan_criticsim": "如果理解错了运算符号，结果可能会有误。",
+            "milestones": [
+                "成功理解乘法运算符"
+            ],
+            "expected_tools": [
+                {
+                    "tool_name": "analyze_code",
+                    "reason": "帮助理解所需执行的操作"
+                }
+            ],
+            "exceute_status": "SUCCESS",
+            "action_list_summary": "在这个子任务中，我们理解了所需要进行的运算是乘法，'*'符号代表的便是乘法运算，这一点从问题'10 * 10 = ?'就可以看出。虽然调用'analyze_code'的工具超时了，没有成功执行，但并不影响我们完成任务，因为问题本身十分清晰，无需依赖工具分析。最后成功提交了子任务。",
+            "posterior_plan_reflection": [
+                "即使某个工具无法成功执行，也不一定会阻碍任务的完成。如果我们可以直接从给定的问题或任务中获取我们需要的信息，那么将不总是需要工具的帮助。",
+                "在生成计划时，我们要考虑到完成任务可能会遇到的困难，例如工具可能无法成功执行。我们应该提前准备好备用方案来应对意外情况。",
+                "在任务明确且简单的情况下，我们应该尝试简化并效率完成任务，避免过度复杂的步骤。"
+            ],
+            "tool_reflection": [
+                {
+                    "target_tool_name": "analyze_code",
+                    "reflection": [
+                        "虽然这个工具在一些情况下可能有用，但在简单明确定义的任务中，如这个子任务，可能没有必要使用。",
+                        "当工具调用超时时，我们需要有其他方法来获取我们需要的信息，而不能完全依赖工具。"
+                    ]
+                }
+            ],
+            "is_finished": false
+        },
+        {
+            "name": "乘法运算",
+            "goal": "计算10 * 10的结果。",
+            "handler": "new_agent",
+            "tool_budget": 10,
+            "prior_plan_criticsim": "如果计算错误，结果可能会有误。",
+            "milestones": [
+                "成功计算出10 * 10的结果"
+            ],
+            "expected_tools": [
+                {
+                    "tool_name": "query_wolfram",
+                    "reason": "使用Wolfram进行数学运算"
+                }
+            ],
+            "exceute_status": "FAIL",
+            "action_list_summary": "在这个子任务中，我们试图通过使用工具'query_wolfram'来计算乘法'10 * 10'的结果。'query_wolfram'的功能应该是可以处理这种简单的数学运算的，但是在实际使用中却出现了问题，我们收到的消息是 'WolframAlpha API 无法解析输入查询'，也就是说本次请求的内容无法被解析。因此，子任务未能成功完成。",
+            "posterior_plan_reflection": [
+                "对于简单的数学运算，我们可能误以为可以直接利用诸如'query_wolfram'这样的工具快速获得结果。然而，事实可能并非如此，因为该工具无法解析输入请求。这种情况告诉我们，如果工具在使用过程中遇到问题，我们需要有其他的解决方案或备选工具。在我们生成计划的时候，我们必须考虑到这种意外情况，并准备另一种方案作为备选。",
+                "我们应该密切关注并分析工具的输出，因为它们可能含有解决问题的关键信息。例如，在这个例子中，'query_wolfram'告诉我们它无法解析输入请求，这可以让我们知道是处理请求的方式出了问题，而不是计算本身的问题。"
+            ],
+            "tool_reflection": [
+                {
+                    "target_tool_name": "query_wolfram",
+                    "reflection": [
+                        "虽然'query_wolfram'在大多数情况下都能有效处理数学运算，但在处理某些特定的请求时，可能会遇到解析输入的问题。我们要注意这一点，并在使用该工具时做好相应的准备。",
+                        "当我们收到'无法解析输入查询'的错误消息时，我们可以试图更改输入的格式，或者尝试使用其他参数进行查询。同时，也可以考虑寻找其他工具或方法来完成相同的任务。",
+                        "我们还需要意识到，在某些情况下，我们可能无法依赖某一个工具来做特定的任务，尤其是当工具失败或输出结果不如预期时。这就需要我们搜索更多的工具，并了解它们的功能和用法，以便在需要的时候使用。"
+                    ]
+                }
+            ],
+            "is_finished": false
+        },
+        {
+            "name": "使用Python内置运算符计算乘法",
+            "goal": "使用Python内置运算符计算10 * 10的结果。",
+            "handler": "new_agent",
+            "tool_budget": 10,
+            "prior_plan_criticsim": "如果计算错误，结果可能会有误。",
+            "milestones": [
+                "成功计算出10 * 10的结果"
+            ],
+            "expected_tools": [
+                {
+                    "tool_name": "execute_python_file",
+                    "reason": "可以运行一个简单的Python脚本来完成这个数学计算"
+                }
+            ],
+            "exceute_status": "SUCCESS",
+            "action_list_summary": "我事先创建了一个包含乘法运算 '10 * 10' 的 Python 文件并试图执行它获取结果。然而，这个努力没有成功，因为 ``execute_python_file`` 工具返回了一个权限错误，可能是由于无法链接至服务器 API。 然后，我改变策略，使用了 ``execute_shell`` 工具直接在 shell 中执行 Python 脚本计算 '10 * 10'。这种方式成功执行并返回了预期结果 '100'。",
+            "posterior_plan_reflection": [
+                "当遇到问题时，有多种方式可以解决，我们需要灵活应对，比如在 Python 文件执行失败时，我转而使用 shell 命令进行计算。",
+                "在进行任务规划时，需要做好失败应对准备，考虑备选方案，比如这里的Python文件执行和shell命令执行都是可行的计算方式。"
+            ],
+            "tool_reflection": [
+                {
+                    "target_tool_name": "execute_python_file",
+                    "reflection": [
+                        "``execute_python_file`` 工具可能会遇到权限问题或无法连接服务器的问题，它并不总是能执行成功。当我们使用这个工具时需要做好出错准备，并有备选方案。",
+                        "尽管 ``execute_python_file`` 失败，但是其错误提示非常有帮助。在处理这些失败时，我们应该充分利用这些信息来确定下一步的行动。"
+                    ]
+                },
+                {
+                    "target_tool_name": "execute_shell",
+                    "reflection": [
+                        "``execute_shell`` 是一个非常有用的工具，对于一些简单的计算任务，可以直接在 shell 中执行，而无需创建并执行 Python 文件。",
+                        "与 ``execute_python_file`` 相比， ``execute_shell`` 在执行权限方面可能会遇到更少的问题，因为它在操作系统级别上执行命令。",
+                        "使用 ``execute_shell`` 时，命令的格式很重要，需要确保命令是正确并且可以在 shell 中执行的。"
+                    ]
+                }
+            ],
+            "is_finished": true
+        }
+    ]
+}
\ No newline at end of file
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n=this.constructor.mathaccents;t.match(n)&&this.setProperty("mathaccent",!0)}}},e.defaults=i(i({},l.AbstractMmlTokenNode.defaults),{form:"infix",fence:!1,separator:!1,lspace:"thickmathspace",rspace:"thickmathspace",stretchy:!1,symmetric:!1,maxsize:"infinity",minsize:"0em",largeop:!1,movablelimits:!1,accent:!1,linebreak:"auto",lineleading:"1ex",linebreakstyle:"before",indentalign:"auto",indentshift:"0",indenttarget:"",indentalignfirst:"indentalign",indentshiftfirst:"indentshift",indentalignlast:"indentalign",indentshiftlast:"indentshift"}),e.MMLSPACING=c.MMLSPACING,e.OPTABLE=c.OPTABLE,e.pseudoScripts=new RegExp(["^[\"'*`","\xaa","\xb0","\xb2-\xb4","\xb9","\xba","\u2018-\u201f","\u2032-\u2037\u2057","\u2070\u2071","\u2074-\u207f","\u2080-\u208e","]+$"].join("")),e.primes=new RegExp(["^[\"'`","\u2018-\u201f","]+$"].join("")),e.remapPrimes={34:8243,39:8242,96:8245,8216:8245,8217:8242,8218:8242,8219:8245,8220:8246,8221:8243,8222:8243,8223:8246},e.mathaccents=new 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this.adaptor.next(t)},t.prototype.handleContainer=function(t,e){this.pushString();var r=this.adaptor.getAttribute(t,"class")||"",n=this.adaptor.kind(t)||"",o=this.processHtmlClass.exec(r),i=t;return!this.adaptor.firstChild(t)||this.adaptor.getAttribute(t,"data-MJX")||!o&&this.skipHtmlTags.exec(n)?i=this.adaptor.next(t):(this.adaptor.next(t)&&this.stack.push([this.adaptor.next(t),e]),i=this.adaptor.firstChild(t),e=(e||this.ignoreHtmlClass.exec(r))&&!o),[i,e]},t.prototype.handleOther=function(t,e){return this.pushString(),this.adaptor.next(t)},t.prototype.find=function(t){var e,r;this.init();for(var o=this.adaptor.next(t),i=!1,s=this.options.includeHtmlTags;t&&t!==o;){var a=this.adaptor.kind(t);"#text"===a?t=this.handleText(t,i):s.hasOwnProperty(a)?t=this.handleTag(t,i):a?(t=(e=n(this.handleContainer(t,i),2))[0],i=e[1]):t=this.handleOther(t,i),!t&&this.stack.length&&(this.pushString(),t=(r=n(this.stack.pop(),2))[0],i=r[1])}this.pushString();var l=[this.strings,this.nodes];return this.init(),l},t.OPTIONS={skipHtmlTags:["script","noscript","style","textarea","pre","code","annotation","annotation-xml"],includeHtmlTags:{br:"\n",wbr:"","#comment":""},ignoreHtmlClass:"mathjax_ignore",processHtmlClass:"mathjax_process"},t}();e.HTMLDomStrings=i},3726:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.HTMLHandler=void 0;var i=r(3670),s=r(3683),a=function(t){function e(){var e=null!==t&&t.apply(this,arguments)||this;return e.documentClass=s.HTMLDocument,e}return o(e,t),e.prototype.handlesDocument=function(t){var e=this.adaptor;if("string"==typeof t)try{t=e.parse(t,"text/html")}catch(t){}return t instanceof e.window.Document||t instanceof e.window.HTMLElement||t instanceof e.window.DocumentFragment},e.prototype.create=function(e,r){var n=this.adaptor;if("string"==typeof e)e=n.parse(e,"text/html");else if(e instanceof n.window.HTMLElement||e instanceof n.window.DocumentFragment){var o=e;e=n.parse("","text/html"),n.append(n.body(e),o)}return t.prototype.create.call(this,e,r)},e}(i.AbstractHandler);e.HTMLHandler=a},3363:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.HTMLMathItem=void 0;var i=r(4474),s=function(t){function e(e,r,n,o,i){return void 0===n&&(n=!0),void 0===o&&(o={node:null,n:0,delim:""}),void 0===i&&(i={node:null,n:0,delim:""}),t.call(this,e,r,n,o,i)||this}return o(e,t),Object.defineProperty(e.prototype,"adaptor",{get:function(){return this.inputJax.adaptor},enumerable:!1,configurable:!0}),e.prototype.updateDocument=function(t){if(this.state()<i.STATE.INSERTED){if(this.inputJax.processStrings){var e=this.start.node;if(e===this.end.node)this.end.n&&this.end.n<this.adaptor.value(this.end.node).length&&this.adaptor.split(this.end.node,this.end.n),this.start.n&&(e=this.adaptor.split(this.start.node,this.start.n)),this.adaptor.replace(this.typesetRoot,e);else{for(this.start.n&&(e=this.adaptor.split(e,this.start.n));e!==this.end.node;){var r=this.adaptor.next(e);this.adaptor.remove(e),e=r}this.adaptor.insert(this.typesetRoot,e),this.end.n<this.adaptor.value(e).length&&this.adaptor.split(e,this.end.n),this.adaptor.remove(e)}}else this.adaptor.replace(this.typesetRoot,this.start.node);this.start.node=this.end.node=this.typesetRoot,this.start.n=this.end.n=0,this.state(i.STATE.INSERTED)}},e.prototype.updateStyleSheet=function(t){t.addStyleSheet()},e.prototype.removeFromDocument=function(t){if(void 0===t&&(t=!1),this.state()>=i.STATE.TYPESET){var e=this.adaptor,r=this.start.node,n=e.text("");if(t){var o=this.start.delim+this.math+this.end.delim;if(this.inputJax.processStrings)n=e.text(o);else{var s=e.parse(o,"text/html");n=e.firstChild(e.body(s))}}e.parent(r)&&e.replace(n,r),this.start.node=this.end.node=n,this.start.n=this.end.n=0}},e}(i.AbstractMathItem);e.HTMLMathItem=s},3335:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.HTMLMathList=void 0;var i=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e}(r(9e3).AbstractMathList);e.HTMLMathList=i},2892:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),i=this&&this.__read||function(t,e){var r="function"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return s};Object.defineProperty(e,"__esModule",{value:!0}),e.MathML=void 0;var s=r(9206),a=r(7233),l=r(7525),c=r(625),u=r(2769),p=function(t){function e(e){void 0===e&&(e={});var r=this,n=i((0,a.separateOptions)(e,c.FindMathML.OPTIONS,u.MathMLCompile.OPTIONS),3),o=n[0],s=n[1],p=n[2];return(r=t.call(this,o)||this).findMathML=r.options.FindMathML||new c.FindMathML(s),r.mathml=r.options.MathMLCompile||new u.MathMLCompile(p),r.mmlFilters=new l.FunctionList,r}return o(e,t),e.prototype.setAdaptor=function(e){t.prototype.setAdaptor.call(this,e),this.findMathML.adaptor=e,this.mathml.adaptor=e},e.prototype.setMmlFactory=function(e){t.prototype.setMmlFactory.call(this,e),this.mathml.setMmlFactory(e)},Object.defineProperty(e.prototype,"processStrings",{get:function(){return!1},enumerable:!1,configurable:!0}),e.prototype.compile=function(t,e){var r=t.start.node;if(!r||!t.end.node||this.options.forceReparse||"#text"===this.adaptor.kind(r)){var n=this.executeFilters(this.preFilters,t,e,(t.math||"<math></math>").trim()),o=this.checkForErrors(this.adaptor.parse(n,"text/"+this.options.parseAs)),i=this.adaptor.body(o);1!==this.adaptor.childNodes(i).length&&this.error("MathML must consist of a single element"),r=this.adaptor.remove(this.adaptor.firstChild(i)),"math"!==this.adaptor.kind(r).replace(/^[a-z]+:/,"")&&this.error("MathML must be formed by a <math> element, not <"+this.adaptor.kind(r)+">")}return r=this.executeFilters(this.mmlFilters,t,e,r),this.executeFilters(this.postFilters,t,e,this.mathml.compile(r))},e.prototype.checkForErrors=function(t){var e=this.adaptor.tags(this.adaptor.body(t),"parsererror")[0];return e&&(""===this.adaptor.textContent(e)&&this.error("Error processing MathML"),this.options.parseError.call(this,e)),t},e.prototype.error=function(t){throw new Error(t)},e.prototype.findMath=function(t){return this.findMathML.findMath(t)},e.NAME="MathML",e.OPTIONS=(0,a.defaultOptions)({parseAs:"html",forceReparse:!1,FindMathML:null,MathMLCompile:null,parseError:function(t){this.error(this.adaptor.textContent(t).replace(/\n.*/g,""))}},s.AbstractInputJax.OPTIONS),e}(s.AbstractInputJax);e.MathML=p},625:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),i=this&&this.__values||function(t){var e="function"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&"number"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?"Object is not iterable.":"Symbol.iterator is not defined.")};Object.defineProperty(e,"__esModule",{value:!0}),e.FindMathML=void 0;var s=r(3494),a="http://www.w3.org/1998/Math/MathML",l=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.findMath=function(t){var e=new Set;this.findMathNodes(t,e),this.findMathPrefixed(t,e);var r=this.adaptor.root(this.adaptor.document);return"html"===this.adaptor.kind(r)&&0===e.size&&this.findMathNS(t,e),this.processMath(e)},e.prototype.findMathNodes=function(t,e){var r,n;try{for(var o=i(this.adaptor.tags(t,"math")),s=o.next();!s.done;s=o.next()){var a=s.value;e.add(a)}}catch(t){r={error:t}}finally{try{s&&!s.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}},e.prototype.findMathPrefixed=function(t,e){var r,n,o,s,l=this.adaptor.root(this.adaptor.document);try{for(var c=i(this.adaptor.allAttributes(l)),u=c.next();!u.done;u=c.next()){var p=u.value;if("xmlns:"===p.name.substr(0,6)&&p.value===a){var h=p.name.substr(6);try{for(var f=(o=void 0,i(this.adaptor.tags(t,h+":math"))),d=f.next();!d.done;d=f.next()){var m=d.value;e.add(m)}}catch(t){o={error:t}}finally{try{d&&!d.done&&(s=f.return)&&s.call(f)}finally{if(o)throw o.error}}}}}catch(t){r={error:t}}finally{try{u&&!u.done&&(n=c.return)&&n.call(c)}finally{if(r)throw r.error}}},e.prototype.findMathNS=function(t,e){var r,n;try{for(var o=i(this.adaptor.tags(t,"math",a)),s=o.next();!s.done;s=o.next()){var l=s.value;e.add(l)}}catch(t){r={error:t}}finally{try{s&&!s.done&&(n=o.return)&&n.call(o)}finally{if(r)throw r.error}}},e.prototype.processMath=function(t){var e,r,n=[];try{for(var o=i(Array.from(t)),s=o.next();!s.done;s=o.next()){var a=s.value,l="block"===this.adaptor.getAttribute(a,"display")||"display"===this.adaptor.getAttribute(a,"mode"),c={node:a,n:0,delim:""},u={node:a,n:0,delim:""};n.push({math:this.adaptor.outerHTML(a),start:c,end:u,display:l})}}catch(t){e={error:t}}finally{try{s&&!s.done&&(r=o.return)&&r.call(o)}finally{if(e)throw e.error}}return n},e.OPTIONS={},e}(s.AbstractFindMath);e.FindMathML=l},2769:function(t,e,r){var n=this&&this.__assign||function(){return n=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},n.apply(this,arguments)},o=this&&this.__createBinding||(Object.create?function(t,e,r,n){void 0===n&&(n=r);var o=Object.getOwnPropertyDescriptor(e,r);o&&!("get"in o?!e.__esModule:o.writable||o.configurable)||(o={enumerable:!0,get:function(){return e[r]}}),Object.defineProperty(t,n,o)}:function(t,e,r,n){void 0===n&&(n=r),t[n]=e[r]}),i=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,"default",{enumerable:!0,value:e})}:function(t,e){t.default=e}),s=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var r in t)"default"!==r&&Object.prototype.hasOwnProperty.call(t,r)&&o(e,t,r);return i(e,t),e},a=this&&this.__values||function(t){var e="function"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&"number"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?"Object is not iterable.":"Symbol.iterator is not defined.")};Object.defineProperty(e,"__esModule",{value:!0}),e.MathMLCompile=void 0;var l=r(9007),c=r(7233),u=s(r(5368)),p=function(){function t(t){void 0===t&&(t={});var e=this.constructor;this.options=(0,c.userOptions)((0,c.defaultOptions)({},e.OPTIONS),t)}return t.prototype.setMmlFactory=function(t){this.factory=t},t.prototype.compile=function(t){var e=this.makeNode(t);return e.verifyTree(this.options.verify),e.setInheritedAttributes({},!1,0,!1),e.walkTree(this.markMrows),e},t.prototype.makeNode=function(t){var e,r,n=this.adaptor,o=!1,i=n.kind(t).replace(/^.*:/,""),s=n.getAttribute(t,"data-mjx-texclass")||"";s&&(s=this.filterAttribute("data-mjx-texclass",s)||"");var c=s&&"mrow"===i?"TeXAtom":i;try{for(var u=a(this.filterClassList(n.allClasses(t))),p=u.next();!p.done;p=u.next()){var h=p.value;h.match(/^MJX-TeXAtom-/)&&"mrow"===i?(s=h.substr(12),c="TeXAtom"):"MJX-fixedlimits"===h&&(o=!0)}}catch(t){e={error:t}}finally{try{p&&!p.done&&(r=u.return)&&r.call(u)}finally{if(e)throw e.error}}this.factory.getNodeClass(c)||this.error('Unknown node type "'+c+'"');var f=this.factory.create(c);return"TeXAtom"!==c||"OP"!==s||o||(f.setProperty("movesupsub",!0),f.attributes.setInherited("movablelimits",!0)),s&&(f.texClass=l.TEXCLASS[s],f.setProperty("texClass",f.texClass)),this.addAttributes(f,t),this.checkClass(f,t),this.addChildren(f,t),f},t.prototype.addAttributes=function(t,e){var r,n,o=!1;try{for(var i=a(this.adaptor.allAttributes(e)),s=i.next();!s.done;s=i.next()){var l=s.value,c=l.name,u=this.filterAttribute(c,l.value);if(null!==u&&"xmlns"!==c)if("data-mjx-"===c.substr(0,9))switch(c.substr(9)){case"alternate":t.setProperty("variantForm",!0);break;case"variant":t.attributes.set("mathvariant",u),o=!0;break;case"smallmatrix":t.setProperty("scriptlevel",1),t.setProperty("useHeight",!1);break;case"accent":t.setProperty("mathaccent","true"===u);break;case"auto-op":t.setProperty("autoOP","true"===u);break;case"script-align":t.setProperty("scriptalign",u)}else if("class"!==c){var p=u.toLowerCase();"true"===p||"false"===p?t.attributes.set(c,"true"===p):o&&"mathvariant"===c||t.attributes.set(c,u)}}}catch(t){r={error:t}}finally{try{s&&!s.done&&(n=i.return)&&n.call(i)}finally{if(r)throw r.error}}},t.prototype.filterAttribute=function(t,e){return e},t.prototype.filterClassList=function(t){return t},t.prototype.addChildren=function(t,e){var r,n;if(0!==t.arity){var o=this.adaptor;try{for(var i=a(o.childNodes(e)),s=i.next();!s.done;s=i.next()){var l=s.value,c=o.kind(l);if("#comment"!==c)if("#text"===c)this.addText(t,l);else if(t.isKind("annotation-xml"))t.appendChild(this.factory.create("XML").setXML(l,o));else{var u=t.appendChild(this.makeNode(l));0===u.arity&&o.childNodes(l).length&&(this.options.fixMisplacedChildren?this.addChildren(t,l):u.mError("There should not be children for "+u.kind+" nodes",this.options.verify,!0))}}}catch(t){r={error:t}}finally{try{s&&!s.done&&(n=i.return)&&n.call(i)}finally{if(r)throw 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null;var t=this.stack.Top().First;return this.configuration.popParser(),t},t.prototype.convertDelimiter=function(t){var e=this.lookup("delimiter",t);return e?e.char:null},t.prototype.getCodePoint=function(){var t=this.string.codePointAt(this.i);return void 0===t?"":String.fromCodePoint(t)},t.prototype.nextIsSpace=function(){return!!this.string.charAt(this.i).match(/\s/)},t.prototype.GetNext=function(){for(;this.nextIsSpace();)this.i++;return this.getCodePoint()},t.prototype.GetCS=function(){var t=this.string.slice(this.i).match(/^(([a-z]+) ?|[\uD800-\uDBFF].|.)/i);return t?(this.i+=t[0].length,t[2]||t[1]):(this.i++," ")},t.prototype.GetArgument=function(t,e){switch(this.GetNext()){case"":if(!e)throw new c.default("MissingArgFor","Missing argument for %1",this.currentCS);return null;case"}":if(!e)throw new c.default("ExtraCloseMissingOpen","Extra close brace or missing open brace");return null;case"\\":return this.i++,"\\"+this.GetCS();case"{":for(var r=++this.i,n=1;this.i<this.string.length;)switch(this.string.charAt(this.i++)){case"\\":this.i++;break;case"{":n++;break;case"}":if(0==--n)return this.string.slice(r,this.i-1)}throw new c.default("MissingCloseBrace","Missing close brace")}var o=this.getCodePoint();return this.i+=o.length,o},t.prototype.GetBrackets=function(t,e){if("["!==this.GetNext())return e;for(var r=++this.i,n=0;this.i<this.string.length;)switch(this.string.charAt(this.i++)){case"{":n++;break;case"\\":this.i++;break;case"}":if(n--<=0)throw new c.default("ExtraCloseLooking","Extra close brace while looking for %1","']'");break;case"]":if(0===n)return this.string.slice(r,this.i-1)}throw new c.default("MissingCloseBracket","Could not find closing ']' for argument to %1",this.currentCS)},t.prototype.GetDelimiter=function(t,e){var r=this.GetNext();if(this.i+=r.length,this.i<=this.string.length&&("\\"===r?r+=this.GetCS():"{"===r&&e&&(this.i--,r=this.GetArgument(t).trim()),this.contains("delimiter",r)))return this.convertDelimiter(r);throw new c.default("MissingOrUnrecognizedDelim","Missing or unrecognized delimiter for %1",this.currentCS)},t.prototype.GetDimen=function(t){if("{"===this.GetNext()){var e=this.GetArgument(t),r=o(a.default.matchDimen(e),2),n=r[0],i=r[1];if(n)return n+i}else{e=this.string.slice(this.i);var s=o(a.default.matchDimen(e,!0),3),l=(n=s[0],i=s[1],s[2]);if(n)return this.i+=l,n+i}throw new c.default("MissingDimOrUnits","Missing dimension or its units for %1",this.currentCS)},t.prototype.GetUpTo=function(t,e){for(;this.nextIsSpace();)this.i++;for(var r=this.i,n=0;this.i<this.string.length;){var o=this.i,i=this.GetNext();switch(this.i+=i.length,i){case"\\":i+=this.GetCS();break;case"{":n++;break;case"}":if(0===n)throw new c.default("ExtraCloseLooking","Extra close brace while looking for %1",e);n--}if(0===n&&i===e)return this.string.slice(r,o)}throw new c.default("TokenNotFoundForCommand","Could not find %1 for %2",e,this.currentCS)},t.prototype.ParseArg=function(e){return new t(this.GetArgument(e),this.stack.env,this.configuration).mml()},t.prototype.ParseUpTo=function(e,r){return new t(this.GetUpTo(e,r),this.stack.env,this.configuration).mml()},t.prototype.GetDelimiterArg=function(t){var e=a.default.trimSpaces(this.GetArgument(t));if(""===e)return null;if(this.contains("delimiter",e))return e;throw new c.default("MissingOrUnrecognizedDelim","Missing or unrecognized delimiter for %1",this.currentCS)},t.prototype.GetStar=function(){var t="*"===this.GetNext();return t&&this.i++,t},t.prototype.create=function(t){for(var e,r=[],n=1;n<arguments.length;n++)r[n-1]=arguments[n];return(e=this.configuration.nodeFactory).create.apply(e,i([t],o(r),!1))},t}();e.default=p},8021:function(t,e,r){var n,o,i=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.AmsConfiguration=e.AmsTags=void 0;var s=r(9899),a=r(2790),l=r(6521),c=r(4387);r(7379);var u=r(9140),p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return i(e,t),e}(l.AbstractTags);e.AmsTags=p;e.AmsConfiguration=s.Configuration.create("ams",{handler:{character:["AMSmath-operatorLetter"],delimiter:["AMSsymbols-delimiter","AMSmath-delimiter"],macro:["AMSsymbols-mathchar0mi","AMSsymbols-mathchar0mo","AMSsymbols-delimiter","AMSsymbols-macros","AMSmath-mathchar0mo","AMSmath-macros","AMSmath-delimiter"],environment:["AMSmath-environment"]},items:(o={},o[a.MultlineItem.prototype.kind]=a.MultlineItem,o[a.FlalignItem.prototype.kind]=a.FlalignItem,o),tags:{ams:p},init:function(t){new u.CommandMap(c.NEW_OPS,{},{}),t.append(s.Configuration.local({handler:{macro:[c.NEW_OPS]},priority:-1}))},config:function(t,e){e.parseOptions.options.multlineWidth&&(e.parseOptions.options.ams.multlineWidth=e.parseOptions.options.multlineWidth),delete e.parseOptions.options.multlineWidth},options:{multlineWidth:"",ams:{multlineWidth:"100%",multlineIndent:"1em"}}})},2790:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),i=this&&this.__assign||function(){return i=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},i.apply(this,arguments)},s=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0}),e.FlalignItem=e.MultlineItem=void 0;var a=r(1181),l=s(r(1130)),c=s(r(1256)),u=s(r(3971)),p=r(8317),h=function(t){function e(e){for(var r=[],n=1;n<arguments.length;n++)r[n-1]=arguments[n];var o=t.call(this,e)||this;return o.factory.configuration.tags.start("multline",!0,r[0]),o}return o(e,t),Object.defineProperty(e.prototype,"kind",{get:function(){return"multline"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.table.length&&l.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.getProperty("shove"),e=this.create("node","mtd",this.nodes,t?{columnalign:t}:{});this.setProperty("shove",null),this.row.push(e),this.Clear()},e.prototype.EndRow=function(){if(1!==this.row.length)throw new u.default("MultlineRowsOneCol","The rows within the %1 environment must have exactly one column","multline");var t=this.create("node","mtr",this.row);this.table.push(t),this.row=[]},e.prototype.EndTable=function(){if(t.prototype.EndTable.call(this),this.table.length){var e=this.table.length-1,r=-1;c.default.getAttribute(c.default.getChildren(this.table[0])[0],"columnalign")||c.default.setAttribute(c.default.getChildren(this.table[0])[0],"columnalign",p.TexConstant.Align.LEFT),c.default.getAttribute(c.default.getChildren(this.table[e])[0],"columnalign")||c.default.setAttribute(c.default.getChildren(this.table[e])[0],"columnalign",p.TexConstant.Align.RIGHT);var n=this.factory.configuration.tags.getTag();if(n){r=this.arraydef.side===p.TexConstant.Align.LEFT?0:this.table.length-1;var o=this.table[r],i=this.create("node","mlabeledtr",[n].concat(c.default.getChildren(o)));c.default.copyAttributes(o,i),this.table[r]=i}}this.factory.configuration.tags.end()},e}(a.ArrayItem);e.MultlineItem=h;var f=function(t){function e(e,r,n,o,i){var s=t.call(this,e)||this;return s.name=r,s.numbered=n,s.padded=o,s.center=i,s.factory.configuration.tags.start(r,n,n),s}return o(e,t),Object.defineProperty(e.prototype,"kind",{get:function(){return"flalign"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){t.prototype.EndEntry.call(this);var e=this.getProperty("xalignat");if(e&&this.row.length>e)throw new u.default("XalignOverflow","Extra %1 in row of %2","&",this.name)},e.prototype.EndRow=function(){for(var e,r=this.row,n=this.getProperty("xalignat");r.length<n;)r.push(this.create("node","mtd"));for(this.row=[],this.padded&&this.row.push(this.create("node","mtd"));e=r.shift();)this.row.push(e),(e=r.shift())&&this.row.push(e),(r.length||this.padded)&&this.row.push(this.create("node","mtd"));this.row.length>this.maxrow&&(this.maxrow=this.row.length),t.prototype.EndRow.call(this);var o=this.table[this.table.length-1];if(this.getProperty("zeroWidthLabel")&&o.isKind("mlabeledtr")){var s=c.default.getChildren(o)[0],a=this.factory.configuration.options.tagSide,l=i({width:0},"right"===a?{lspace:"-1width"}:{}),u=this.create("node","mpadded",c.default.getChildren(s),l);s.setChildren([u])}},e.prototype.EndTable=function(){(t.prototype.EndTable.call(this),this.center)&&(this.maxrow<=2&&(delete this.arraydef.width,delete this.global.indentalign))},e}(a.EqnArrayItem);e.FlalignItem=f},7379:function(t,e,r){var n=this&&this.__createBinding||(Object.create?function(t,e,r,n){void 0===n&&(n=r);var o=Object.getOwnPropertyDescriptor(e,r);o&&!("get"in o?!e.__esModule:o.writable||o.configurable)||(o={enumerable:!0,get:function(){return e[r]}}),Object.defineProperty(t,n,o)}:function(t,e,r,n){void 0===n&&(n=r),t[n]=e[r]}),o=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,"default",{enumerable:!0,value:e})}:function(t,e){t.default=e}),i=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var r in t)"default"!==r&&Object.prototype.hasOwnProperty.call(t,r)&&n(e,t,r);return o(e,t),e},s=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0});var a=r(4387),l=i(r(9140)),c=r(8317),u=s(r(5450)),p=s(r(1130)),h=r(9007),f=r(6010);new l.CharacterMap("AMSmath-mathchar0mo",u.default.mathchar0mo,{iiiint:["\u2a0c",{texClass:h.TEXCLASS.OP}]}),new l.RegExpMap("AMSmath-operatorLetter",a.AmsMethods.operatorLetter,/[-*]/i),new l.CommandMap("AMSmath-macros",{mathring:["Accent","02DA"],nobreakspace:"Tilde",negmedspace:["Spacer",f.MATHSPACE.negativemediummathspace],negthickspace:["Spacer",f.MATHSPACE.negativethickmathspace],idotsint:["MultiIntegral","\\int\\cdots\\int"],dddot:["Accent","20DB"],ddddot:["Accent","20DC"],sideset:"SideSet",boxed:["Macro","\\fbox{$\\displaystyle{#1}$}",1],tag:"HandleTag",notag:"HandleNoTag",eqref:["HandleRef",!0],substack:["Macro","\\begin{subarray}{c}#1\\end{subarray}",1],injlim:["NamedOp","inj&thinsp;lim"],projlim:["NamedOp","proj&thinsp;lim"],varliminf:["Macro","\\mathop{\\underline{\\mmlToken{mi}{lim}}}"],varlimsup:["Macro","\\mathop{\\overline{\\mmlToken{mi}{lim}}}"],varinjlim:["Macro","\\mathop{\\underrightarrow{\\mmlToken{mi}{lim}}}"],varprojlim:["Macro","\\mathop{\\underleftarrow{\\mmlToken{mi}{lim}}}"],DeclareMathOperator:"HandleDeclareOp",operatorname:"HandleOperatorName",genfrac:"Genfrac",frac:["Genfrac","","","",""],tfrac:["Genfrac","","","","1"],dfrac:["Genfrac","","","","0"],binom:["Genfrac","(",")","0",""],tbinom:["Genfrac","(",")","0","1"],dbinom:["Genfrac","(",")","0","0"],cfrac:"CFrac",shoveleft:["HandleShove",c.TexConstant.Align.LEFT],shoveright:["HandleShove",c.TexConstant.Align.RIGHT],xrightarrow:["xArrow",8594,5,10],xleftarrow:["xArrow",8592,10,5]},a.AmsMethods),new l.EnvironmentMap("AMSmath-environment",u.default.environment,{"equation*":["Equation",null,!1],"eqnarray*":["EqnArray",null,!1,!0,"rcl",p.default.cols(0,f.MATHSPACE.thickmathspace),".5em"],align:["EqnArray",null,!0,!0,"rl",p.default.cols(0,2)],"align*":["EqnArray",null,!1,!0,"rl",p.default.cols(0,2)],multline:["Multline",null,!0],"multline*":["Multline",null,!1],split:["EqnArray",null,!1,!1,"rl",p.default.cols(0)],gather:["EqnArray",null,!0,!0,"c"],"gather*":["EqnArray",null,!1,!0,"c"],alignat:["AlignAt",null,!0,!0],"alignat*":["AlignAt",null,!1,!0],alignedat:["AlignAt",null,!1,!1],aligned:["AmsEqnArray",null,null,null,"rl",p.default.cols(0,2),".5em","D"],gathered:["AmsEqnArray",null,null,null,"c",null,".5em","D"],xalignat:["XalignAt",null,!0,!0],"xalignat*":["XalignAt",null,!1,!0],xxalignat:["XalignAt",null,!1,!1],flalign:["FlalignArray",null,!0,!1,!0,"rlc","auto auto fit"],"flalign*":["FlalignArray",null,!1,!1,!0,"rlc","auto auto fit"],subarray:["Array",null,null,null,null,p.default.cols(0),"0.1em","S",1],smallmatrix:["Array",null,null,null,"c",p.default.cols(1/3),".2em","S",1],matrix:["Array",null,null,null,"c"],pmatrix:["Array",null,"(",")","c"],bmatrix:["Array",null,"[","]","c"],Bmatrix:["Array",null,"\\{","\\}","c"],vmatrix:["Array",null,"\\vert","\\vert","c"],Vmatrix:["Array",null,"\\Vert","\\Vert","c"],cases:["Array",null,"\\{",".","ll",null,".2em","T"]},a.AmsMethods),new l.DelimiterMap("AMSmath-delimiter",u.default.delimiter,{"\\lvert":["|",{texClass:h.TEXCLASS.OPEN}],"\\rvert":["|",{texClass:h.TEXCLASS.CLOSE}],"\\lVert":["\u2016",{texClass:h.TEXCLASS.OPEN}],"\\rVert":["\u2016",{texClass:h.TEXCLASS.CLOSE}]}),new l.CharacterMap("AMSsymbols-mathchar0mi",u.default.mathchar0mi,{digamma:"\u03dd",varkappa:"\u03f0",varGamma:["\u0393",{mathvariant:c.TexConstant.Variant.ITALIC}],varDelta:["\u0394",{mathvariant:c.TexConstant.Variant.ITALIC}],varTheta:["\u0398",{mathvariant:c.TexConstant.Variant.ITALIC}],varLambda:["\u039b",{mathvariant:c.TexConstant.Variant.ITALIC}],varXi:["\u039e",{mathvariant:c.TexConstant.Variant.ITALIC}],varPi:["\u03a0",{mathvariant:c.TexConstant.Variant.ITALIC}],varSigma:["\u03a3",{mathvariant:c.TexConstant.Variant.ITALIC}],varUpsilon:["\u03a5",{mathvariant:c.TexConstant.Variant.ITALIC}],varPhi:["\u03a6",{mathvariant:c.TexConstant.Variant.ITALIC}],varPsi:["\u03a8",{mathvariant:c.TexConstant.Variant.ITALIC}],varOmega:["\u03a9",{mathvariant:c.TexConstant.Variant.ITALIC}],beth:"\u2136",gimel:"\u2137",daleth:"\u2138",backprime:["\u2035",{variantForm:!0}],hslash:"\u210f",varnothing:["\u2205",{variantForm:!0}],blacktriangle:"\u25b4",triangledown:["\u25bd",{variantForm:!0}],blacktriangledown:"\u25be",square:"\u25fb",Box:"\u25fb",blacksquare:"\u25fc",lozenge:"\u25ca",Diamond:"\u25ca",blacklozenge:"\u29eb",circledS:["\u24c8",{mathvariant:c.TexConstant.Variant.NORMAL}],bigstar:"\u2605",sphericalangle:"\u2222",measuredangle:"\u2221",nexists:"\u2204",complement:"\u2201",mho:"\u2127",eth:["\xf0",{mathvariant:c.TexConstant.Variant.NORMAL}],Finv:"\u2132",diagup:"\u2571",Game:"\u2141",diagdown:"\u2572",Bbbk:["k",{mathvariant:c.TexConstant.Variant.DOUBLESTRUCK}],yen:"\xa5",circledR:"\xae",checkmark:"\u2713",maltese:"\u2720"}),new l.CharacterMap("AMSsymbols-mathchar0mo",u.default.mathchar0mo,{dotplus:"\u2214",ltimes:"\u22c9",smallsetminus:["\u2216",{variantForm:!0}],rtimes:"\u22ca",Cap:"\u22d2",doublecap:"\u22d2",leftthreetimes:"\u22cb",Cup:"\u22d3",doublecup:"\u22d3",rightthreetimes:"\u22cc",barwedge:"\u22bc",curlywedge:"\u22cf",veebar:"\u22bb",curlyvee:"\u22ce",doublebarwedge:"\u2a5e",boxminus:"\u229f",circleddash:"\u229d",boxtimes:"\u22a0",circledast:"\u229b",boxdot:"\u22a1",circledcirc:"\u229a",boxplus:"\u229e",centerdot:["\u22c5",{variantForm:!0}],divideontimes:"\u22c7",intercal:"\u22ba",leqq:"\u2266",geqq:"\u2267",leqslant:"\u2a7d",geqslant:"\u2a7e",eqslantless:"\u2a95",eqslantgtr:"\u2a96",lesssim:"\u2272",gtrsim:"\u2273",lessapprox:"\u2a85",gtrapprox:"\u2a86",approxeq:"\u224a",lessdot:"\u22d6",gtrdot:"\u22d7",lll:"\u22d8",llless:"\u22d8",ggg:"\u22d9",gggtr:"\u22d9",lessgtr:"\u2276",gtrless:"\u2277",lesseqgtr:"\u22da",gtreqless:"\u22db",lesseqqgtr:"\u2a8b",gtreqqless:"\u2a8c",doteqdot:"\u2251",Doteq:"\u2251",eqcirc:"\u2256",risingdotseq:"\u2253",circeq:"\u2257",fallingdotseq:"\u2252",triangleq:"\u225c",backsim:"\u223d",thicksim:["\u223c",{variantForm:!0}],backsimeq:"\u22cd",thickapprox:["\u2248",{variantForm:!0}],subseteqq:"\u2ac5",supseteqq:"\u2ac6",Subset:"\u22d0",Supset:"\u22d1",sqsubset:"\u228f",sqsupset:"\u2290",preccurlyeq:"\u227c",succcurlyeq:"\u227d",curlyeqprec:"\u22de",curlyeqsucc:"\u22df",precsim:"\u227e",succsim:"\u227f",precapprox:"\u2ab7",succapprox:"\u2ab8",vartriangleleft:"\u22b2",lhd:"\u22b2",vartriangleright:"\u22b3",rhd:"\u22b3",trianglelefteq:"\u22b4",unlhd:"\u22b4",trianglerighteq:"\u22b5",unrhd:"\u22b5",vDash:["\u22a8",{variantForm:!0}],Vdash:"\u22a9",Vvdash:"\u22aa",smallsmile:["\u2323",{variantForm:!0}],shortmid:["\u2223",{variantForm:!0}],smallfrown:["\u2322",{variantForm:!0}],shortparallel:["\u2225",{variantForm:!0}],bumpeq:"\u224f",between:"\u226c",Bumpeq:"\u224e",pitchfork:"\u22d4",varpropto:["\u221d",{variantForm:!0}],backepsilon:"\u220d",blacktriangleleft:"\u25c2",blacktriangleright:"\u25b8",therefore:"\u2234",because:"\u2235",eqsim:"\u2242",vartriangle:["\u25b3",{variantForm:!0}],Join:"\u22c8",nless:"\u226e",ngtr:"\u226f",nleq:"\u2270",ngeq:"\u2271",nleqslant:["\u2a87",{variantForm:!0}],ngeqslant:["\u2a88",{variantForm:!0}],nleqq:["\u2270",{variantForm:!0}],ngeqq:["\u2271",{variantForm:!0}],lneq:"\u2a87",gneq:"\u2a88",lneqq:"\u2268",gneqq:"\u2269",lvertneqq:["\u2268",{variantForm:!0}],gvertneqq:["\u2269",{variantForm:!0}],lnsim:"\u22e6",gnsim:"\u22e7",lnapprox:"\u2a89",gnapprox:"\u2a8a",nprec:"\u2280",nsucc:"\u2281",npreceq:["\u22e0",{variantForm:!0}],nsucceq:["\u22e1",{variantForm:!0}],precneqq:"\u2ab5",succneqq:"\u2ab6",precnsim:"\u22e8",succnsim:"\u22e9",precnapprox:"\u2ab9",succnapprox:"\u2aba",nsim:"\u2241",ncong:"\u2247",nshortmid:["\u2224",{variantForm:!0}],nshortparallel:["\u2226",{variantForm:!0}],nmid:"\u2224",nparallel:"\u2226",nvdash:"\u22ac",nvDash:"\u22ad",nVdash:"\u22ae",nVDash:"\u22af",ntriangleleft:"\u22ea",ntriangleright:"\u22eb",ntrianglelefteq:"\u22ec",ntrianglerighteq:"\u22ed",nsubseteq:"\u2288",nsupseteq:"\u2289",nsubseteqq:["\u2288",{variantForm:!0}],nsupseteqq:["\u2289",{variantForm:!0}],subsetneq:"\u228a",supsetneq:"\u228b",varsubsetneq:["\u228a",{variantForm:!0}],varsupsetneq:["\u228b",{variantForm:!0}],subsetneqq:"\u2acb",supsetneqq:"\u2acc",varsubsetneqq:["\u2acb",{variantForm:!0}],varsupsetneqq:["\u2acc",{variantForm:!0}],leftleftarrows:"\u21c7",rightrightarrows:"\u21c9",leftrightarrows:"\u21c6",rightleftarrows:"\u21c4",Lleftarrow:"\u21da",Rrightarrow:"\u21db",twoheadleftarrow:"\u219e",twoheadrightarrow:"\u21a0",leftarrowtail:"\u21a2",rightarrowtail:"\u21a3",looparrowleft:"\u21ab",looparrowright:"\u21ac",leftrightharpoons:"\u21cb",rightleftharpoons:["\u21cc",{variantForm:!0}],curvearrowleft:"\u21b6",curvearrowright:"\u21b7",circlearrowleft:"\u21ba",circlearrowright:"\u21bb",Lsh:"\u21b0",Rsh:"\u21b1",upuparrows:"\u21c8",downdownarrows:"\u21ca",upharpoonleft:"\u21bf",upharpoonright:"\u21be",downharpoonleft:"\u21c3",restriction:"\u21be",multimap:"\u22b8",downharpoonright:"\u21c2",leftrightsquigarrow:"\u21ad",rightsquigarrow:"\u21dd",leadsto:"\u21dd",dashrightarrow:"\u21e2",dashleftarrow:"\u21e0",nleftarrow:"\u219a",nrightarrow:"\u219b",nLeftarrow:"\u21cd",nRightarrow:"\u21cf",nleftrightarrow:"\u21ae",nLeftrightarrow:"\u21ce"}),new l.DelimiterMap("AMSsymbols-delimiter",u.default.delimiter,{"\\ulcorner":"\u231c","\\urcorner":"\u231d","\\llcorner":"\u231e","\\lrcorner":"\u231f"}),new l.CommandMap("AMSsymbols-macros",{implies:["Macro","\\;\\Longrightarrow\\;"],impliedby:["Macro","\\;\\Longleftarrow\\;"]},a.AmsMethods)},4387:function(t,e,r){var n=this&&this.__assign||function(){return n=Object.assign||function(t){for(var e,r=1,n=arguments.length;r<n;r++)for(var o in e=arguments[r])Object.prototype.hasOwnProperty.call(e,o)&&(t[o]=e[o]);return t},n.apply(this,arguments)},o=this&&this.__read||function(t,e){var r="function"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return s},i=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0}),e.NEW_OPS=e.AmsMethods=void 0;var s=i(r(1130)),a=i(r(5450)),l=i(r(1256)),c=r(8317),u=i(r(8417)),p=i(r(3971)),h=r(8803),f=i(r(7693)),d=r(9007);function m(t){if(!t||t.isInferred&&0===t.childNodes.length)return[null,null];if(t.isKind("msubsup")&&y(t))return[t,null];var e=l.default.getChildAt(t,0);return t.isInferred&&e&&y(e)?(t.childNodes.splice(0,1),[e,t]):[null,t]}function y(t){var e=t.childNodes[0];return e&&e.isKind("mi")&&""===e.getText()}e.AmsMethods={},e.AmsMethods.AmsEqnArray=function(t,e,r,n,o,i,a){var l=t.GetBrackets("\\begin{"+e.getName()+"}"),c=f.default.EqnArray(t,e,r,n,o,i,a);return s.default.setArrayAlign(c,l)},e.AmsMethods.AlignAt=function(t,r,n,o){var i,a,l=r.getName(),c="",u=[];if(o||(a=t.GetBrackets("\\begin{"+l+"}")),(i=t.GetArgument("\\begin{"+l+"}")).match(/[^0-9]/))throw new p.default("PositiveIntegerArg","Argument to %1 must me a positive integer","\\begin{"+l+"}");for(var h=parseInt(i,10);h>0;)c+="rl",u.push("0em 0em"),h--;var f=u.join(" ");if(o)return e.AmsMethods.EqnArray(t,r,n,o,c,f);var d=e.AmsMethods.EqnArray(t,r,n,o,c,f);return s.default.setArrayAlign(d,a)},e.AmsMethods.Multline=function(t,e,r){t.Push(e),s.default.checkEqnEnv(t);var n=t.itemFactory.create("multline",r,t.stack);return n.arraydef={displaystyle:!0,rowspacing:".5em",columnspacing:"100%",width:t.options.ams.multlineWidth,side:t.options.tagSide,minlabelspacing:t.options.tagIndent,framespacing:t.options.ams.multlineIndent+" 0",frame:"","data-width-includes-label":!0},n},e.AmsMethods.XalignAt=function(t,r,n,o){var i=t.GetArgument("\\begin{"+r.getName()+"}");if(i.match(/[^0-9]/))throw new p.default("PositiveIntegerArg","Argument to %1 must me a positive integer","\\begin{"+r.getName()+"}");var s=o?"crl":"rlc",a=o?"fit auto auto":"auto auto fit",l=e.AmsMethods.FlalignArray(t,r,n,o,!1,s,a,!0);return l.setProperty("xalignat",2*parseInt(i)),l},e.AmsMethods.FlalignArray=function(t,e,r,n,o,i,a,l){void 0===l&&(l=!1),t.Push(e),s.default.checkEqnEnv(t),i=i.split("").join(" ").replace(/r/g,"right").replace(/l/g,"left").replace(/c/g,"center");var c=t.itemFactory.create("flalign",e.getName(),r,n,o,t.stack);return c.arraydef={width:"100%",displaystyle:!0,columnalign:i,columnspacing:"0em",columnwidth:a,rowspacing:"3pt",side:t.options.tagSide,minlabelspacing:l?"0":t.options.tagIndent,"data-width-includes-label":!0},c.setProperty("zeroWidthLabel",l),c},e.NEW_OPS="ams-declare-ops",e.AmsMethods.HandleDeclareOp=function(t,r){var n=t.GetStar()?"*":"",o=s.default.trimSpaces(t.GetArgument(r));"\\"===o.charAt(0)&&(o=o.substr(1));var i=t.GetArgument(r);t.configuration.handlers.retrieve(e.NEW_OPS).add(o,new h.Macro(o,e.AmsMethods.Macro,["\\operatorname".concat(n,"{").concat(i,"}")]))},e.AmsMethods.HandleOperatorName=function(t,e){var r=t.GetStar(),o=s.default.trimSpaces(t.GetArgument(e)),i=new u.default(o,n(n({},t.stack.env),{font:c.TexConstant.Variant.NORMAL,multiLetterIdentifiers:/^[-*a-z]+/i,operatorLetters:!0}),t.configuration).mml();if(i.isKind("mi")||(i=t.create("node","TeXAtom",[i])),l.default.setProperties(i,{movesupsub:r,movablelimits:!0,texClass:d.TEXCLASS.OP}),!r){var a=t.GetNext(),p=t.i;"\\"===a&&++t.i&&"limits"!==t.GetCS()&&(t.i=p)}t.Push(i)},e.AmsMethods.SideSet=function(t,e){var r=o(m(t.ParseArg(e)),2),n=r[0],i=r[1],a=o(m(t.ParseArg(e)),2),c=a[0],u=a[1],p=t.ParseArg(e),h=p;n&&(i?n.replaceChild(t.create("node","mphantom",[t.create("node","mpadded",[s.default.copyNode(p,t)],{width:0})]),l.default.getChildAt(n,0)):(h=t.create("node","mmultiscripts",[p]),c&&l.default.appendChildren(h,[l.default.getChildAt(c,1)||t.create("node","none"),l.default.getChildAt(c,2)||t.create("node","none")]),l.default.setProperty(h,"scriptalign","left"),l.default.appendChildren(h,[t.create("node","mprescripts"),l.default.getChildAt(n,1)||t.create("node","none"),l.default.getChildAt(n,2)||t.create("node","none")]))),c&&h===p&&(c.replaceChild(p,l.default.getChildAt(c,0)),h=c);var 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f=t.create("node","munderover",[h]),m=t.create("node","mpadded",[c,p],i);if(l.default.setAttribute(m,"voffset","-.2em"),l.default.setAttribute(m,"height","-.2em"),l.default.setChild(f,f.over,m),a){var y=new u.default(a,t.stack.env,t.configuration).mml(),g=t.create("node","mspace",[],{height:".75em"});m=t.create("node","mpadded",[y,g],i),l.default.setAttribute(m,"voffset",".15em"),l.default.setAttribute(m,"depth","-.15em"),l.default.setChild(f,f.under,m)}l.default.setProperty(f,"subsupOK",!0),t.Push(f)},e.AmsMethods.HandleShove=function(t,e,r){var n=t.stack.Top();if("multline"!==n.kind)throw new p.default("CommandOnlyAllowedInEnv","%1 only allowed in %2 environment",t.currentCS,"multline");if(n.Size())throw new p.default("CommandAtTheBeginingOfLine","%1 must come at the beginning of the line",t.currentCS);n.setProperty("shove",r)},e.AmsMethods.CFrac=function(t,e){var r=s.default.trimSpaces(t.GetBrackets(e,"")),n=t.GetArgument(e),o=t.GetArgument(e),i={l:c.TexConstant.Align.LEFT,r:c.TexConstant.Align.RIGHT,"":""},a=new u.default("\\strut\\textstyle{"+n+"}",t.stack.env,t.configuration).mml(),h=new u.default("\\strut\\textstyle{"+o+"}",t.stack.env,t.configuration).mml(),f=t.create("node","mfrac",[a,h]);if(null==(r=i[r]))throw new p.default("IllegalAlign","Illegal alignment specified in %1",t.currentCS);r&&l.default.setProperties(f,{numalign:r,denomalign:r}),t.Push(f)},e.AmsMethods.Genfrac=function(t,e,r,n,o,i){null==r&&(r=t.GetDelimiterArg(e)),null==n&&(n=t.GetDelimiterArg(e)),null==o&&(o=t.GetArgument(e)),null==i&&(i=s.default.trimSpaces(t.GetArgument(e)));var a=t.ParseArg(e),c=t.ParseArg(e),u=t.create("node","mfrac",[a,c]);if(""!==o&&l.default.setAttribute(u,"linethickness",o),(r||n)&&(l.default.setProperty(u,"withDelims",!0),u=s.default.fixedFence(t.configuration,r,u,n)),""!==i){var h=parseInt(i,10),f=["D","T","S","SS"][h];if(null==f)throw new p.default("BadMathStyleFor","Bad math style for %1",t.currentCS);u=t.create("node","mstyle",[u]),"D"===f?l.default.setProperties(u,{displaystyle:!0,scriptlevel:0}):l.default.setProperties(u,{displaystyle:!1,scriptlevel:h-1})}t.Push(u)},e.AmsMethods.HandleTag=function(t,e){if(!t.tags.currentTag.taggable&&t.tags.env)throw new p.default("CommandNotAllowedInEnv","%1 not allowed in %2 environment",t.currentCS,t.tags.env);if(t.tags.currentTag.tag)throw new p.default("MultipleCommand","Multiple %1",t.currentCS);var r=t.GetStar(),n=s.default.trimSpaces(t.GetArgument(e));t.tags.tag(n,r)},e.AmsMethods.HandleNoTag=f.default.HandleNoTag,e.AmsMethods.HandleRef=f.default.HandleRef,e.AmsMethods.Macro=f.default.Macro,e.AmsMethods.Accent=f.default.Accent,e.AmsMethods.Tilde=f.default.Tilde,e.AmsMethods.Array=f.default.Array,e.AmsMethods.Spacer=f.default.Spacer,e.AmsMethods.NamedOp=f.default.NamedOp,e.AmsMethods.EqnArray=f.default.EqnArray,e.AmsMethods.Equation=f.default.Equation},1275:function(t,e,r){var n=this&&this.__read||function(t,e){var r="function"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return s},o=this&&this.__values||function(t){var e="function"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&"number"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 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o(e,t),Object.defineProperty(e.prototype,"kind",{get:function(){return"array"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"isOpen",{get:function(){return!0},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"copyEnv",{get:function(){return!1},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isClose&&!e.isKind("over")){if(e.getProperty("isEntry"))return this.EndEntry(),this.clearEnv(),d.BaseItem.fail;if(e.getProperty("isCR"))return this.EndEntry(),this.EndRow(),this.clearEnv(),d.BaseItem.fail;this.EndTable(),this.clearEnv();var r=this.factory.create("mml",this.createMml());if(this.getProperty("requireClose")){if(e.isKind("close"))return[[r],!0];throw new p.default("MissingCloseBrace","Missing close brace")}return[[r,e],!0]}return t.prototype.checkItem.call(this,e)},e.prototype.createMml=function(){var t=this.arraydef.scriptlevel;delete this.arraydef.scriptlevel;var e=this.create("node","mtable",this.table,this.arraydef);return t&&e.setProperty("scriptlevel",t),4===this.frame.length?f.default.setAttribute(e,"frame",this.dashed?"dashed":"solid"):this.frame.length&&(this.arraydef.rowlines&&(this.arraydef.rowlines=this.arraydef.rowlines.replace(/none( none)+$/,"none")),f.default.setAttribute(e,"frame",""),e=this.create("node","menclose",[e],{notation:this.frame.join(" ")}),"none"===(this.arraydef.columnlines||"none")&&"none"===(this.arraydef.rowlines||"none")||f.default.setAttribute(e,"data-padding",0)),(this.getProperty("open")||this.getProperty("close"))&&(e=h.default.fenced(this.factory.configuration,this.getProperty("open"),e,this.getProperty("close"))),e},e.prototype.EndEntry=function(){var t=this.create("node","mtd",this.nodes);this.hfill.length&&(0===this.hfill[0]&&f.default.setAttribute(t,"columnalign","right"),this.hfill[this.hfill.length-1]===this.Size()&&f.default.setAttribute(t,"columnalign",f.default.getAttribute(t,"columnalign")?"center":"left")),this.row.push(t),this.Clear(),this.hfill=[]},e.prototype.EndRow=function(){var t;this.getProperty("isNumbered")&&3===this.row.length?(this.row.unshift(this.row.pop()),t=this.create("node","mlabeledtr",this.row)):t=this.create("node","mtr",this.row),this.table.push(t),this.row=[]},e.prototype.EndTable=function(){(this.Size()||this.row.length)&&(this.EndEntry(),this.EndRow()),this.checkLines()},e.prototype.checkLines=function(){if(this.arraydef.rowlines){var t=this.arraydef.rowlines.split(/ /);t.length===this.table.length?(this.frame.push("bottom"),t.pop(),this.arraydef.rowlines=t.join(" ")):t.length<this.table.length-1&&(this.arraydef.rowlines+=" none")}if(this.getProperty("rowspacing")){for(var e=this.arraydef.rowspacing.split(/ /);e.length<this.table.length;)e.push(this.getProperty("rowspacing")+"em");this.arraydef.rowspacing=e.join(" ")}},e.prototype.addRowSpacing=function(t){if(this.arraydef.rowspacing){var e=this.arraydef.rowspacing.split(/ /);if(!this.getProperty("rowspacing")){var r=h.default.dimen2em(e[0]);this.setProperty("rowspacing",r)}for(var n=this.getProperty("rowspacing");e.length<this.table.length;)e.push(h.default.Em(n));e[this.table.length-1]=h.default.Em(Math.max(0,n+h.default.dimen2em(t))),this.arraydef.rowspacing=e.join(" ")}},e}(d.BaseItem);e.ArrayItem=k;var j=function(t){function e(e){for(var r=[],n=1;n<arguments.length;n++)r[n-1]=arguments[n];var o=t.call(this,e)||this;return o.maxrow=0,o.factory.configuration.tags.start(r[0],r[2],r[1]),o}return o(e,t),Object.defineProperty(e.prototype,"kind",{get:function(){return"eqnarray"},enumerable:!1,configurable:!0}),e.prototype.EndEntry=function(){this.row.length&&h.default.fixInitialMO(this.factory.configuration,this.nodes);var t=this.create("node","mtd",this.nodes);this.row.push(t),this.Clear()},e.prototype.EndRow=function(){this.row.length>this.maxrow&&(this.maxrow=this.row.length);var t="mtr",e=this.factory.configuration.tags.getTag();e&&(this.row=[e].concat(this.row),t="mlabeledtr"),this.factory.configuration.tags.clearTag();var r=this.create("node",t,this.row);this.table.push(r),this.row=[]},e.prototype.EndTable=function(){t.prototype.EndTable.call(this),this.factory.configuration.tags.end(),this.extendArray("columnalign",this.maxrow),this.extendArray("columnwidth",this.maxrow),this.extendArray("columnspacing",this.maxrow-1)},e.prototype.extendArray=function(t,e){if(this.arraydef[t]){var r=this.arraydef[t].split(/ /),n=s([],i(r),!1);if(n.length>1){for(;n.length<e;)n.push.apply(n,s([],i(r),!1));this.arraydef[t]=n.slice(0,e).join(" ")}}},e}(k);e.EqnArrayItem=j;var B=function(t){function e(e){for(var r=[],n=1;n<arguments.length;n++)r[n-1]=arguments[n];var o=t.call(this,e)||this;return o.factory.configuration.tags.start("equation",!0,r[0]),o}return o(e,t),Object.defineProperty(e.prototype,"kind",{get:function(){return"equation"},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"isOpen",{get:function(){return!0},enumerable:!1,configurable:!0}),e.prototype.checkItem=function(e){if(e.isKind("end")){var r=this.toMml(),n=this.factory.configuration.tags.getTag();return this.factory.configuration.tags.end(),[[n?this.factory.configuration.tags.enTag(r,n):r,e],!0]}if(e.isKind("stop"))throw new p.default("EnvMissingEnd","Missing \\end{%1}",this.getName());return t.prototype.checkItem.call(this,e)},e}(d.BaseItem);e.EquationItem=B},1267:function(t,e,r){var n=this&&this.__createBinding||(Object.create?function(t,e,r,n){void 0===n&&(n=r);var o=Object.getOwnPropertyDescriptor(e,r);o&&!("get"in o?!e.__esModule:o.writable||o.configurable)||(o={enumerable:!0,get:function(){return e[r]}}),Object.defineProperty(t,n,o)}:function(t,e,r,n){void 0===n&&(n=r),t[n]=e[r]}),o=this&&this.__setModuleDefault||(Object.create?function(t,e){Object.defineProperty(t,"default",{enumerable:!0,value:e})}:function(t,e){t.default=e}),i=this&&this.__importStar||function(t){if(t&&t.__esModule)return t;var e={};if(null!=t)for(var r in t)"default"!==r&&Object.prototype.hasOwnProperty.call(t,r)&&n(e,t,r);return o(e,t),e},s=this&&this.__importDefault||function(t){return t&&t.__esModule?t:{default:t}};Object.defineProperty(e,"__esModule",{value:!0});var a=i(r(9140)),l=r(8317),c=s(r(7693)),u=s(r(5450)),p=s(r(1130)),h=r(9007),f=r(6010);new a.RegExpMap("letter",u.default.variable,/[a-z]/i),new a.RegExpMap("digit",u.default.digit,/[0-9.,]/),new a.RegExpMap("command",u.default.controlSequence,/^\\/),new a.MacroMap("special",{"{":"Open","}":"Close","~":"Tilde","^":"Superscript",_:"Subscript"," ":"Space","\t":"Space","\r":"Space","\n":"Space","'":"Prime","%":"Comment","&":"Entry","#":"Hash","\xa0":"Space","\u2019":"Prime"},c.default),new a.CharacterMap("mathchar0mi",u.default.mathchar0mi,{alpha:"\u03b1",beta:"\u03b2",gamma:"\u03b3",delta:"\u03b4",epsilon:"\u03f5",zeta:"\u03b6",eta:"\u03b7",theta:"\u03b8",iota:"\u03b9",kappa:"\u03ba",lambda:"\u03bb",mu:"\u03bc",nu:"\u03bd",xi:"\u03be",omicron:"\u03bf",pi:"\u03c0",rho:"\u03c1",sigma:"\u03c3",tau:"\u03c4",upsilon:"\u03c5",phi:"\u03d5",chi:"\u03c7",psi:"\u03c8",omega:"\u03c9",varepsilon:"\u03b5",vartheta:"\u03d1",varpi:"\u03d6",varrho:"\u03f1",varsigma:"\u03c2",varphi:"\u03c6",S:["\xa7",{mathvariant:l.TexConstant.Variant.NORMAL}],aleph:["\u2135",{mathvariant:l.TexConstant.Variant.NORMAL}],hbar:["\u210f",{variantForm:!0}],imath:"\u0131",jmath:"\u0237",ell:"\u2113",wp:["\u2118",{mathvariant:l.TexConstant.Variant.NORMAL}],Re:["\u211c",{mathvariant:l.TexConstant.Variant.NORMAL}],Im:["\u2111",{mathvariant:l.TexConstant.Variant.NORMAL}],partial:["\u2202",{mathvariant:l.TexConstant.Variant.ITALIC}],infty:["\u221e",{mathvariant:l.TexConstant.Variant.NORMAL}],prime:["\u2032",{variantForm:!0}],emptyset:["\u2205",{mathvariant:l.TexConstant.Variant.NORMAL}],nabla:["\u2207",{mathvariant:l.TexConstant.Variant.NORMAL}],top:["\u22a4",{mathvariant:l.TexConstant.Variant.NORMAL}],bot:["\u22a5",{mathvariant:l.TexConstant.Variant.NORMAL}],angle:["\u2220",{mathvariant:l.TexConstant.Variant.NORMAL}],triangle:["\u25b3",{mathvariant:l.TexConstant.Variant.NORMAL}],backslash:["\u2216",{mathvariant:l.TexConstant.Variant.NORMAL}],forall:["\u2200",{mathvariant:l.TexConstant.Variant.NORMAL}],exists:["\u2203",{mathvariant:l.TexConstant.Variant.NORMAL}],neg:["\xac",{mathvariant:l.TexConstant.Variant.NORMAL}],lnot:["\xac",{mathvariant:l.TexConstant.Variant.NORMAL}],flat:["\u266d",{mathvariant:l.TexConstant.Variant.NORMAL}],natural:["\u266e",{mathvariant:l.TexConstant.Variant.NORMAL}],sharp:["\u266f",{mathvariant:l.TexConstant.Variant.NORMAL}],clubsuit:["\u2663",{mathvariant:l.TexConstant.Variant.NORMAL}],diamondsuit:["\u2662",{mathvariant:l.TexConstant.Variant.NORMAL}],heartsuit:["\u2661",{mathvariant:l.TexConstant.Variant.NORMAL}],spadesuit:["\u2660",{mathvariant:l.TexConstant.Variant.NORMAL}]}),new a.CharacterMap("mathchar0mo",u.default.mathchar0mo,{surd:"\u221a",coprod:["\u2210",{texClass:h.TEXCLASS.OP,movesupsub:!0}],bigvee:["\u22c1",{texClass:h.TEXCLASS.OP,movesupsub:!0}],bigwedge:["\u22c0",{texClass:h.TEXCLASS.OP,movesupsub:!0}],biguplus:["\u2a04",{texClass:h.TEXCLASS.OP,movesupsub:!0}],bigcap:["\u22c2",{texClass:h.TEXCLASS.OP,movesupsub:!0}],bigcup:["\u22c3",{texClass:h.TEXCLASS.OP,movesupsub:!0}],int:["\u222b",{texClass:h.TEXCLASS.OP}],intop:["\u222b",{texClass:h.TEXCLASS.OP,movesupsub:!0,movablelimits:!0}],iint:["\u222c",{texClass:h.TEXCLASS.OP}],iiint:["\u222d",{texClass:h.TEXCLASS.OP}],prod:["\u220f",{texClass:h.TEXCLASS.OP,movesupsub:!0}],sum:["\u2211",{texClass:h.TEXCLASS.OP,movesupsub:!0}],bigotimes:["\u2a02",{texClass:h.TEXCLASS.OP,movesupsub:!0}],bigoplus:["\u2a01",{texClass:h.TEXCLASS.OP,movesupsub:!0}],bigodot:["\u2a00",{texClass:h.TEXCLASS.OP,movesupsub:!0}],oint:["\u222e",{texClass:h.TEXCLASS.OP}],bigsqcup:["\u2a06",{texClass:h.TEXCLASS.OP,movesupsub:!0}],smallint:["\u222b",{largeop:!1}],triangleleft:"\u25c3",triangleright:"\u25b9",bigtriangleup:"\u25b3",bigtriangledown:"\u25bd",wedge:"\u2227",land:"\u2227",vee:"\u2228",lor:"\u2228",cap:"\u2229",cup:"\u222a",ddagger:"\u2021",dagger:"\u2020",sqcap:"\u2293",sqcup:"\u2294",uplus:"\u228e",amalg:"\u2a3f",diamond:"\u22c4",bullet:"\u2219",wr:"\u2240",div:"\xf7",divsymbol:"\xf7",odot:["\u2299",{largeop:!1}],oslash:["\u2298",{largeop:!1}],otimes:["\u2297",{largeop:!1}],ominus:["\u2296",{largeop:!1}],oplus:["\u2295",{largeop:!1}],mp:"\u2213",pm:"\xb1",circ:"\u2218",bigcirc:"\u25ef",setminus:"\u2216",cdot:"\u22c5",ast:"\u2217",times:"\xd7",star:"\u22c6",propto:"\u221d",sqsubseteq:"\u2291",sqsupseteq:"\u2292",parallel:"\u2225",mid:"\u2223",dashv:"\u22a3",vdash:"\u22a2",leq:"\u2264",le:"\u2264",geq:"\u2265",ge:"\u2265",lt:"<",gt:">",succ:"\u227b",prec:"\u227a",approx:"\u2248",succeq:"\u2ab0",preceq:"\u2aaf",supset:"\u2283",subset:"\u2282",supseteq:"\u2287",subseteq:"\u2286",in:"\u2208",ni:"\u220b",notin:"\u2209",owns:"\u220b",gg:"\u226b",ll:"\u226a",sim:"\u223c",simeq:"\u2243",perp:"\u22a5",equiv:"\u2261",asymp:"\u224d",smile:"\u2323",frown:"\u2322",ne:"\u2260",neq:"\u2260",cong:"\u2245",doteq:"\u2250",bowtie:"\u22c8",models:"\u22a8",notChar:"\u29f8",Leftrightarrow:"\u21d4",Leftarrow:"\u21d0",Rightarrow:"\u21d2",leftrightarrow:"\u2194",leftarrow:"\u2190",gets:"\u2190",rightarrow:"\u2192",to:["\u2192",{accent:!1}],mapsto:"\u21a6",leftharpoonup:"\u21bc",leftharpoondown:"\u21bd",rightharpoonup:"\u21c0",rightharpoondown:"\u21c1",nearrow:"\u2197",searrow:"\u2198",nwarrow:"\u2196",swarrow:"\u2199",rightleftharpoons:"\u21cc",hookrightarrow:"\u21aa",hookleftarrow:"\u21a9",longleftarrow:"\u27f5",Longleftarrow:"\u27f8",longrightarrow:"\u27f6",Longrightarrow:"\u27f9",Longleftrightarrow:"\u27fa",longleftrightarrow:"\u27f7",longmapsto:"\u27fc",ldots:"\u2026",cdots:"\u22ef",vdots:"\u22ee",ddots:"\u22f1",dotsc:"\u2026",dotsb:"\u22ef",dotsm:"\u22ef",dotsi:"\u22ef",dotso:"\u2026",ldotp:[".",{texClass:h.TEXCLASS.PUNCT}],cdotp:["\u22c5",{texClass:h.TEXCLASS.PUNCT}],colon:[":",{texClass:h.TEXCLASS.PUNCT}]}),new a.CharacterMap("mathchar7",u.default.mathchar7,{Gamma:"\u0393",Delta:"\u0394",Theta:"\u0398",Lambda:"\u039b",Xi:"\u039e",Pi:"\u03a0",Sigma:"\u03a3",Upsilon:"\u03a5",Phi:"\u03a6",Psi:"\u03a8",Omega:"\u03a9",_:"_","#":"#",$:"$","%":"%","&":"&",And:"&"}),new a.DelimiterMap("delimiter",u.default.delimiter,{"(":"(",")":")","[":"[","]":"]","<":"\u27e8",">":"\u27e9","\\lt":"\u27e8","\\gt":"\u27e9","/":"/","|":["|",{texClass:h.TEXCLASS.ORD}],".":"","\\\\":"\\","\\lmoustache":"\u23b0","\\rmoustache":"\u23b1","\\lgroup":"\u27ee","\\rgroup":"\u27ef","\\arrowvert":"\u23d0","\\Arrowvert":"\u2016","\\bracevert":"\u23aa","\\Vert":["\u2016",{texClass:h.TEXCLASS.ORD}],"\\|":["\u2016",{texClass:h.TEXCLASS.ORD}],"\\vert":["|",{texClass:h.TEXCLASS.ORD}],"\\uparrow":"\u2191","\\downarrow":"\u2193","\\updownarrow":"\u2195","\\Uparrow":"\u21d1","\\Downarrow":"\u21d3","\\Updownarrow":"\u21d5","\\backslash":"\\","\\rangle":"\u27e9","\\langle":"\u27e8","\\rbrace":"}","\\lbrace":"{","\\}":"}","\\{":"{","\\rceil":"\u2309","\\lceil":"\u2308","\\rfloor":"\u230b","\\lfloor":"\u230a","\\lbrack":"[","\\rbrack":"]"}),new 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e=t.padding/2,r=t.thickness;return[2*e,e,e+r,3*e+r]},border:function(t){return[0,0,t.thickness,0]},remove:"bottom"}],h.Arrow("up"),h.Arrow("down"),h.Arrow("left"),h.Arrow("right"),h.Arrow("updown"),h.Arrow("leftright"),h.DiagonalArrow("updiagonal"),h.DiagonalArrow("northeast"),h.DiagonalArrow("southeast"),h.DiagonalArrow("northwest"),h.DiagonalArrow("southwest"),h.DiagonalArrow("northeastsouthwest"),h.DiagonalArrow("northwestsoutheast"),["longdiv",{renderer:function(t,e){var r=t.adaptor;r.setStyle(e,"border-top",t.em(t.thickness)+" solid");var n=r.append(t.chtml,t.html("dbox")),o=t.thickness,i=t.padding;o!==h.THICKNESS&&r.setStyle(n,"border-width",t.em(o)),i!==h.PADDING&&(r.setStyle(n,"left",t.em(-1.5*i)),r.setStyle(n,"width",t.em(3*i)),r.setStyle(n,"clip-path","inset(0 0 0 "+t.em(1.5*i)+")"))},bbox:function(t){var e=t.padding,r=t.thickness;return[e+r,e,e,2*e+r/2]}}],["radical",{renderer:function(t,e){t.msqrt.toCHTML(e);var 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mjx-cell":{"text-align":"right"},'[script-align="left"] > mjx-row > mjx-cell':{"text-align":"left"},'[script-align="center"] > mjx-row > mjx-cell':{"text-align":"center"},'[script-align="right"] > mjx-row > mjx-cell':{"text-align":"right"}},e}((0,a.CommonMmultiscriptsMixin)(s.CHTMLmsubsup));e.CHTMLmmultiscripts=u},6460:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.CHTMLmn=void 0;var i=r(5355),s=r(5023),a=r(3050),l=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return 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l=i(this.tableRows),c=l.next();!c.done;c=l.next()){var u=c.value,p=0;try{for(var h=(r=void 0,i(u.tableCells)),f=h.next();!f.done;f=h.next()){var d=f.value,m=s[p++],y=s[p],g=d?d.chtml:this.adaptor.childNodes(u.chtml)[p];(p>1&&"0.4em"!==m||a&&1===p)&&this.adaptor.setStyle(g,"paddingLeft",m),(p<this.numCols&&"0.4em"!==y||a&&p===this.numCols)&&this.adaptor.setStyle(g,"paddingRight",y)}}catch(t){r={error:t}}finally{try{f&&!f.done&&(n=h.return)&&n.call(h)}finally{if(r)throw r.error}}}}catch(e){t={error:e}}finally{try{c&&!c.done&&(e=l.return)&&e.call(l)}finally{if(t)throw t.error}}},e.prototype.handleColumnLines=function(){var t,e,r,n;if("none"!==this.node.attributes.get("columnlines")){var o=this.getColumnAttributes("columnlines");try{for(var s=i(this.childNodes),a=s.next();!a.done;a=s.next()){var l=a.value,c=0;try{for(var u=(r=void 0,i(this.adaptor.childNodes(l.chtml).slice(1))),p=u.next();!p.done;p=u.next()){var h=p.value,f=o[c++];"none"!==f&&this.adaptor.setStyle(h,"borderLeft",".07em "+f)}}catch(t){r={error:t}}finally{try{p&&!p.done&&(n=u.return)&&n.call(u)}finally{if(r)throw r.error}}}}catch(e){t={error:e}}finally{try{a&&!a.done&&(e=s.return)&&e.call(s)}finally{if(t)throw t.error}}}},e.prototype.handleColumnWidths=function(){var t,e,r,n;try{for(var o=i(this.childNodes),s=o.next();!s.done;s=o.next()){var a=s.value,l=0;try{for(var c=(r=void 0,i(this.adaptor.childNodes(a.chtml))),u=c.next();!u.done;u=c.next()){var p=u.value,h=this.cWidths[l++];if(null!==h){var f="number"==typeof h?this.em(h):h;this.adaptor.setStyle(p,"width",f),this.adaptor.setStyle(p,"maxWidth",f),this.adaptor.setStyle(p,"minWidth",f)}}}catch(t){r={error:t}}finally{try{u&&!u.done&&(n=c.return)&&n.call(c)}finally{if(r)throw r.error}}}}catch(e){t={error:e}}finally{try{s&&!s.done&&(e=o.return)&&e.call(o)}finally{if(t)throw t.error}}},e.prototype.handleRowSpacing=function(){var t,e,r,n,o=this.childNodes[0]?1/this.childNodes[0].getBBox().rscale:1,s=this.getEmHalfSpacing(this.fSpace[1],this.rSpace,o),a=this.frame,l=0;try{for(var c=i(this.childNodes),u=c.next();!u.done;u=c.next()){var p=u.value,h=s[l++],f=s[l];try{for(var d=(r=void 0,i(p.childNodes)),m=d.next();!m.done;m=d.next()){var y=m.value;(l>1&&"0.215em"!==h||a&&1===l)&&this.adaptor.setStyle(y.chtml,"paddingTop",h),(l<this.numRows&&"0.215em"!==f||a&&l===this.numRows)&&this.adaptor.setStyle(y.chtml,"paddingBottom",f)}}catch(t){r={error:t}}finally{try{m&&!m.done&&(n=d.return)&&n.call(d)}finally{if(r)throw r.error}}}}catch(e){t={error:e}}finally{try{u&&!u.done&&(e=c.return)&&e.call(c)}finally{if(t)throw t.error}}},e.prototype.handleRowLines=function(){var t,e,r,n;if("none"!==this.node.attributes.get("rowlines")){var o=this.getRowAttributes("rowlines"),s=0;try{for(var a=i(this.childNodes.slice(1)),l=a.next();!l.done;l=a.next()){var c=l.value,u=o[s++];if("none"!==u)try{for(var p=(r=void 0,i(this.adaptor.childNodes(c.chtml))),h=p.next();!h.done;h=p.next()){var f=h.value;this.adaptor.setStyle(f,"borderTop",".07em "+u)}}catch(t){r={error:t}}finally{try{h&&!h.done&&(n=p.return)&&n.call(p)}finally{if(r)throw r.error}}}}catch(e){t={error:e}}finally{try{l&&!l.done&&(e=a.return)&&e.call(a)}finally{if(t)throw t.error}}}},e.prototype.handleRowHeights=function(){this.node.attributes.get("equalrows")&&this.handleEqualRows()},e.prototype.handleEqualRows=function(){for(var t=this.getRowHalfSpacing(),e=this.getTableData(),r=e.H,n=e.D,o=e.NH,i=e.ND,s=this.getEqualRowHeight(),a=0;a<this.numRows;a++){var l=this.childNodes[a];this.setRowHeight(l,s+t[a]+t[a+1]+this.rLines[a]),s!==o[a]+i[a]&&this.setRowBaseline(l,s,(s-r[a]+n[a])/2)}},e.prototype.setRowHeight=function(t,e){this.adaptor.setStyle(t.chtml,"height",this.em(e))},e.prototype.setRowBaseline=function(t,e,r){var n,o,s=t.node.attributes.get("rowalign");try{for(var a=i(t.childNodes),l=a.next();!l.done;l=a.next()){var c=l.value;if(this.setCellBaseline(c,s,e,r))break}}catch(t){n={error:t}}finally{try{l&&!l.done&&(o=a.return)&&o.call(a)}finally{if(n)throw n.error}}},e.prototype.setCellBaseline=function(t,e,r,n){var o=t.node.attributes.get("rowalign");if("baseline"===o||"axis"===o){var i=this.adaptor,s=i.lastChild(t.chtml);i.setStyle(s,"height",this.em(r)),i.setStyle(s,"verticalAlign",this.em(-n));var a=t.parent;if(!(a.node.isKind("mlabeledtr")&&t===a.childNodes[0]||"baseline"!==e&&"axis"!==e))return!0}return!1},e.prototype.handleFrame=function(){this.frame&&this.fLine&&this.adaptor.setStyle(this.itable,"border",".07em "+this.node.attributes.get("frame"))},e.prototype.handleWidth=function(){var t=this.adaptor,e=this.getBBox(),r=e.w,n=e.L,o=e.R;t.setStyle(this.chtml,"minWidth",this.em(n+r+o));var i=this.node.attributes.get("width");if((0,u.isPercent)(i))t.setStyle(this.chtml,"width",""),t.setAttribute(this.chtml,"width","full");else if(!this.hasLabels){if("auto"===i)return;i=this.em(this.length2em(i)+2*this.fLine)}var s=t.firstChild(this.chtml);if(t.setStyle(s,"width",i),t.setStyle(s,"minWidth",this.em(r)),n||o){t.setStyle(this.chtml,"margin","");var a=this.node.attributes.get("data-width-includes-label")?"padding":"margin";n===o?t.setStyle(s,a,"0 "+this.em(o)):t.setStyle(s,a,"0 "+this.em(o)+" 0 "+this.em(n))}t.setAttribute(this.itable,"width","full")},e.prototype.handleAlign=function(){var t=s(this.getAlignmentRow(),2),e=t[0],r=t[1];if(null===r)"axis"!==e&&this.adaptor.setAttribute(this.chtml,"align",e);else{var n=this.getVerticalPosition(r,e);this.adaptor.setAttribute(this.chtml,"align","top"),this.adaptor.setStyle(this.chtml,"verticalAlign",this.em(n))}},e.prototype.handleJustify=function(){var t=this.getAlignShift()[0];"center"!==t&&this.adaptor.setAttribute(this.chtml,"justify",t)},e.prototype.handleLabels=function(){if(this.hasLabels){var t=this.labels,e=this.node.attributes,r=this.adaptor,n=e.get("side");r.setAttribute(this.chtml,"side",n),r.setAttribute(t,"align",n),r.setStyle(t,n,"0");var o=s(this.addLabelPadding(n),2),i=o[0],a=o[1];if(a){var l=r.firstChild(this.chtml);this.setIndent(l,i,a)}this.updateRowHeights(),this.addLabelSpacing()}},e.prototype.addLabelPadding=function(t){var e=s(this.getPadAlignShift(t),3),r=e[1],n=e[2],o={};if("right"===t&&!this.node.attributes.get("data-width-includes-label")){var i=this.node.attributes.get("width"),a=this.getBBox(),l=a.w,c=a.L,p=a.R;o.style={width:(0,u.isPercent)(i)?"calc("+i+" + "+this.em(c+p)+")":this.em(c+l+p)}}return this.adaptor.append(this.chtml,this.html("mjx-labels",o,[this.labels])),[r,n]},e.prototype.updateRowHeights=function(){for(var t=this.getTableData(),e=t.H,r=t.D,n=t.NH,o=t.ND,i=this.getRowHalfSpacing(),s=0;s<this.numRows;s++){var a=this.childNodes[s];this.setRowHeight(a,e[s]+r[s]+i[s]+i[s+1]+this.rLines[s]),e[s]!==n[s]||r[s]!==o[s]?this.setRowBaseline(a,e[s]+r[s],r[s]):a.node.isKind("mlabeledtr")&&this.setCellBaseline(a.childNodes[0],"",e[s]+r[s],r[s])}},e.prototype.addLabelSpacing=function(){for(var t=this.adaptor,e=this.node.attributes.get("equalrows"),r=this.getTableData(),n=r.H,o=r.D,i=e?this.getEqualRowHeight():0,s=this.getRowHalfSpacing(),a=this.fLine,l=t.firstChild(this.labels),c=0;c<this.numRows;c++){this.childNodes[c].node.isKind("mlabeledtr")?(a&&t.insert(this.html("mjx-mtr",{style:{height:this.em(a)}}),l),t.setStyle(l,"height",this.em((e?i:n[c]+o[c])+s[c]+s[c+1])),l=t.next(l),a=this.rLines[c]):a+=s[c]+(e?i:n[c]+o[c])+s[c+1]+this.rLines[c]}},e.kind=c.MmlMtable.prototype.kind,e.styles={"mjx-mtable":{"vertical-align":".25em","text-align":"center",position:"relative","box-sizing":"border-box","border-spacing":0,"border-collapse":"collapse"},'mjx-mstyle[size="s"] mjx-mtable':{"vertical-align":".354em"},"mjx-labels":{position:"absolute",left:0,top:0},"mjx-table":{display:"inline-block","vertical-align":"-.5ex","box-sizing":"border-box"},"mjx-table > mjx-itable":{"vertical-align":"middle","text-align":"left","box-sizing":"border-box"},"mjx-labels > mjx-itable":{position:"absolute",top:0},'mjx-mtable[justify="left"]':{"text-align":"left"},'mjx-mtable[justify="right"]':{"text-align":"right"},'mjx-mtable[justify="left"][side="left"]':{"padding-right":"0 ! important"},'mjx-mtable[justify="left"][side="right"]':{"padding-left":"0 ! important"},'mjx-mtable[justify="right"][side="left"]':{"padding-right":"0 ! important"},'mjx-mtable[justify="right"][side="right"]':{"padding-left":"0 ! important"},"mjx-mtable[align]":{"vertical-align":"baseline"},'mjx-mtable[align="top"] > mjx-table':{"vertical-align":"top"},'mjx-mtable[align="bottom"] > mjx-table':{"vertical-align":"bottom"},'mjx-mtable[side="right"] mjx-labels':{"min-width":"100%"}},e}((0,l.CommonMtableMixin)(a.CHTMLWrapper));e.CHTMLmtable=p},7056:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.CHTMLmtd=void 0;var i=r(5355),s=r(5164),a=r(4359),l=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.toCHTML=function(e){t.prototype.toCHTML.call(this,e);var r=this.node.attributes.get("rowalign"),n=this.node.attributes.get("columnalign");r!==this.parent.node.attributes.get("rowalign")&&this.adaptor.setAttribute(this.chtml,"rowalign",r),"center"===n||"mlabeledtr"===this.parent.kind&&this===this.parent.childNodes[0]&&n===this.parent.parent.node.attributes.get("side")||this.adaptor.setStyle(this.chtml,"textAlign",n),this.parent.parent.node.getProperty("useHeight")&&this.adaptor.append(this.chtml,this.html("mjx-tstrut"))},e.kind=a.MmlMtd.prototype.kind,e.styles={"mjx-mtd":{display:"table-cell","text-align":"center",padding:".215em .4em"},"mjx-mtd:first-child":{"padding-left":0},"mjx-mtd:last-child":{"padding-right":0},"mjx-mtable > * > mjx-itable > *:first-child > mjx-mtd":{"padding-top":0},"mjx-mtable > * > mjx-itable > *:last-child > mjx-mtd":{"padding-bottom":0},"mjx-tstrut":{display:"inline-block",height:"1em","vertical-align":"-.25em"},'mjx-labels[align="left"] > mjx-mtr > mjx-mtd':{"text-align":"left"},'mjx-labels[align="right"] > mjx-mtr > mjx-mtd':{"text-align":"right"},"mjx-mtd[extra]":{padding:0},'mjx-mtd[rowalign="top"]':{"vertical-align":"top"},'mjx-mtd[rowalign="center"]':{"vertical-align":"middle"},'mjx-mtd[rowalign="bottom"]':{"vertical-align":"bottom"},'mjx-mtd[rowalign="baseline"]':{"vertical-align":"baseline"},'mjx-mtd[rowalign="axis"]':{"vertical-align":".25em"}},e}((0,s.CommonMtdMixin)(i.CHTMLWrapper));e.CHTMLmtd=l},1259:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.CHTMLmtext=void 0;var i=r(5355),s=r(6319),a=r(4770),l=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.kind=a.MmlMtext.prototype.kind,e}((0,s.CommonMtextMixin)(i.CHTMLWrapper));e.CHTMLmtext=l},3571:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.CHTMLmlabeledtr=e.CHTMLmtr=void 0;var i=r(5355),s=r(5766),a=r(5766),l=r(5022),c=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.toCHTML=function(e){t.prototype.toCHTML.call(this,e);var r=this.node.attributes.get("rowalign");"baseline"!==r&&this.adaptor.setAttribute(this.chtml,"rowalign",r)},e.kind=l.MmlMtr.prototype.kind,e.styles={"mjx-mtr":{display:"table-row"},'mjx-mtr[rowalign="top"] > mjx-mtd':{"vertical-align":"top"},'mjx-mtr[rowalign="center"] > mjx-mtd':{"vertical-align":"middle"},'mjx-mtr[rowalign="bottom"] > mjx-mtd':{"vertical-align":"bottom"},'mjx-mtr[rowalign="baseline"] > mjx-mtd':{"vertical-align":"baseline"},'mjx-mtr[rowalign="axis"] > mjx-mtd':{"vertical-align":".25em"}},e}((0,s.CommonMtrMixin)(i.CHTMLWrapper));e.CHTMLmtr=c;var u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.toCHTML=function(e){t.prototype.toCHTML.call(this,e);var r=this.adaptor.firstChild(this.chtml);if(r){this.adaptor.remove(r);var n=this.node.attributes.get("rowalign"),o="baseline"!==n&&"axis"!==n?{rowalign:n}:{},i=this.html("mjx-mtr",o,[r]);this.adaptor.append(this.parent.labels,i)}},e.prototype.markUsed=function(){t.prototype.markUsed.call(this),this.jax.wrapperUsage.add(c.kind)},e.kind=l.MmlMlabeledtr.prototype.kind,e.styles={"mjx-mlabeledtr":{display:"table-row"},'mjx-mlabeledtr[rowalign="top"] > mjx-mtd':{"vertical-align":"top"},'mjx-mlabeledtr[rowalign="center"] > mjx-mtd':{"vertical-align":"middle"},'mjx-mlabeledtr[rowalign="bottom"] > mjx-mtd':{"vertical-align":"bottom"},'mjx-mlabeledtr[rowalign="baseline"] > mjx-mtd':{"vertical-align":"baseline"},'mjx-mlabeledtr[rowalign="axis"] > mjx-mtd':{"vertical-align":".25em"}},e}((0,a.CommonMlabeledtrMixin)(c));e.CHTMLmlabeledtr=u},6590:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.CHTMLmunderover=e.CHTMLmover=e.CHTMLmunder=void 0;var i=r(4300),s=r(1971),a=r(1971),l=r(1971),c=r(5184),u=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.toCHTML=function(e){if(this.hasMovableLimits())return t.prototype.toCHTML.call(this,e),void this.adaptor.setAttribute(this.chtml,"limits","false");this.chtml=this.standardCHTMLnode(e);var r=this.adaptor.append(this.adaptor.append(this.chtml,this.html("mjx-row")),this.html("mjx-base")),n=this.adaptor.append(this.adaptor.append(this.chtml,this.html("mjx-row")),this.html("mjx-under"));this.baseChild.toCHTML(r),this.scriptChild.toCHTML(n);var o=this.baseChild.getOuterBBox(),i=this.scriptChild.getOuterBBox(),s=this.getUnderKV(o,i)[0],a=this.isLineBelow?0:this.getDelta(!0);this.adaptor.setStyle(n,"paddingTop",this.em(s)),this.setDeltaW([r,n],this.getDeltaW([o,i],[0,-a])),this.adjustUnderDepth(n,i)},e.kind=c.MmlMunder.prototype.kind,e.styles={"mjx-over":{"text-align":"left"},'mjx-munder:not([limits="false"])':{display:"inline-table"},"mjx-munder > mjx-row":{"text-align":"left"},"mjx-under":{"padding-bottom":".1em"}},e}((0,s.CommonMunderMixin)(i.CHTMLmsub));e.CHTMLmunder=u;var p=function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return o(e,t),e.prototype.toCHTML=function(e){if(this.hasMovableLimits())return t.prototype.toCHTML.call(this,e),void 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e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var n=t.apply(this,i([],o(e),!1))||this;if(n.bevel=null,n.pad=n.node.getProperty("withDelims")?0:n.font.params.nulldelimiterspace,n.node.attributes.get("bevelled")){var s=n.getBevelData(n.isDisplay()).H,a=n.bevel=n.createMo("/");a.node.attributes.set("symmetric",!0),a.canStretch(1),a.getStretchedVariant([s],!0)}return n}return n(e,t),e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),t.empty();var r=this.node.attributes.getList("linethickness","bevelled"),n=r.linethickness,o=r.bevelled,i=this.isDisplay(),s=null;if(o)this.getBevelledBBox(t,i);else{var a=this.length2em(String(n),.06);s=-2*this.pad,0===a?this.getAtopBBox(t,i):(this.getFractionBBox(t,i,a),s-=.2),s+=t.w}t.clean(),this.setChildPWidths(e,s)},e.prototype.getFractionBBox=function(t,e,r){var n=this.childNodes[0].getOuterBBox(),o=this.childNodes[1].getOuterBBox(),i=this.font.params.axis_height,s=this.getTUV(e,r),a=s.T,l=s.u,c=s.v;t.combine(n,0,i+a+Math.max(n.d*n.rscale,l)),t.combine(o,0,i-a-Math.max(o.h*o.rscale,c)),t.w+=2*this.pad+.2},e.prototype.getTUV=function(t,e){var r=this.font.params,n=r.axis_height,o=(t?3.5:1.5)*e;return{T:(t?3.5:1.5)*e,u:(t?r.num1:r.num2)-n-o,v:(t?r.denom1:r.denom2)+n-o}},e.prototype.getAtopBBox=function(t,e){var r=this.getUVQ(e),n=r.u,o=r.v,i=r.nbox,s=r.dbox;t.combine(i,0,n),t.combine(s,0,-o),t.w+=2*this.pad},e.prototype.getUVQ=function(t){var e=this.childNodes[0].getOuterBBox(),r=this.childNodes[1].getOuterBBox(),n=this.font.params,i=o(t?[n.num1,n.denom1]:[n.num3,n.denom2],2),s=i[0],a=i[1],l=(t?7:3)*n.rule_thickness,c=s-e.d*e.scale-(r.h*r.scale-a);return c<l&&(s+=(l-c)/2,a+=(l-c)/2,c=l),{u:s,v:a,q:c,nbox:e,dbox:r}},e.prototype.getBevelledBBox=function(t,e){var r=this.getBevelData(e),n=r.u,o=r.v,i=r.delta,s=r.nbox,a=r.dbox,l=this.bevel.getOuterBBox();t.combine(s,0,n),t.combine(l,t.w-i/2,0),t.combine(a,t.w-i/2,o)},e.prototype.getBevelData=function(t){var e=this.childNodes[0].getOuterBBox(),r=this.childNodes[1].getOuterBBox(),n=t?.4:.15,o=Math.max(e.scale*(e.h+e.d),r.scale*(r.h+r.d))+2*n,i=this.font.params.axis_height;return{H:o,delta:n,u:e.scale*(e.d-e.h)/2+i+n,v:r.scale*(r.d-r.h)/2+i-n,nbox:e,dbox:r}},e.prototype.canStretch=function(t){return!1},e.prototype.isDisplay=function(){var t=this.node.attributes.getList("displaystyle","scriptlevel"),e=t.displaystyle,r=t.scriptlevel;return e&&0===r},e.prototype.getWrapWidth=function(t){var e=this.node.attributes;return e.get("bevelled")?this.childNodes[t].getOuterBBox().w:this.getBBox().w-(this.length2em(e.get("linethickness"))?.2:0)-2*this.pad},e.prototype.getChildAlign=function(t){var e=this.node.attributes;return e.get("bevelled")?"left":e.get(["numalign","denomalign"][t])},e}(t)}},5636:function(t,e){var r,n=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},r(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)}),o=this&&this.__read||function(t,e){var r="function"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return s},i=this&&this.__spreadArray||function(t,e,r){if(r||2===arguments.length)for(var n,o=0,i=e.length;o<i;o++)!n&&o in e||(n||(n=Array.prototype.slice.call(e,0,o)),n[o]=e[o]);return t.concat(n||Array.prototype.slice.call(e))};Object.defineProperty(e,"__esModule",{value:!0}),e.CommonMglyphMixin=void 0,e.CommonMglyphMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var n=t.apply(this,i([],o(e),!1))||this;return n.getParameters(),n}return n(e,t),e.prototype.getParameters=function(){var t=this.node.attributes.getList("width","height","valign","src","index"),e=t.width,r=t.height,n=t.valign,o=t.src,i=t.index;if(o)this.width="auto"===e?1:this.length2em(e),this.height="auto"===r?1:this.length2em(r),this.valign=this.length2em(n||"0");else{var s=String.fromCodePoint(parseInt(i)),a=this.node.factory;this.charWrapper=this.wrap(a.create("text").setText(s)),this.charWrapper.parent=this}},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1),this.charWrapper?t.updateFrom(this.charWrapper.getBBox()):(t.w=this.width,t.h=this.height+this.valign,t.d=-this.valign)},e}(t)}},5723:function(t,e){var r,n=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},r(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)});Object.defineProperty(e,"__esModule",{value:!0}),e.CommonMiMixin=void 0,e.CommonMiMixin=function(t){return function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.computeBBox=function(e,r){void 0===r&&(r=!1),t.prototype.computeBBox.call(this,e),this.copySkewIC(e)},e}(t)}},8009:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},n(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)}),i=this&&this.__read||function(t,e){var r="function"==typeof Symbol&&t[Symbol.iterator];if(!r)return t;var n,o,i=r.call(t),s=[];try{for(;(void 0===e||e-- >0)&&!(n=i.next()).done;)s.push(n.value)}catch(t){o={error:t}}finally{try{n&&!n.done&&(r=i.return)&&r.call(i)}finally{if(o)throw o.error}}return s},s=this&&this.__spreadArray||function(t,e,r){if(r||2===arguments.length)for(var n,o=0,i=e.length;o<i;o++)!n&&o in e||(n||(n=Array.prototype.slice.call(e,0,o)),n[o]=e[o]);return t.concat(n||Array.prototype.slice.call(e))},a=this&&this.__values||function(t){var e="function"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&"number"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?"Object is not iterable.":"Symbol.iterator is not defined.")};Object.defineProperty(e,"__esModule",{value:!0}),e.CommonMmultiscriptsMixin=e.ScriptNames=e.NextScript=void 0;var l=r(6469);e.NextScript={base:"subList",subList:"supList",supList:"subList",psubList:"psupList",psupList:"psubList"},e.ScriptNames=["sup","sup","psup","psub"],e.CommonMmultiscriptsMixin=function(t){return function(t){function r(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var n=t.apply(this,s([],i(e),!1))||this;return n.scriptData=null,n.firstPrescript=0,n.getScriptData(),n}return o(r,t),r.prototype.combinePrePost=function(t,e){var r=new l.BBox(t);return r.combine(e,0,0),r},r.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var r=this.font.params.scriptspace,n=this.scriptData,o=this.combinePrePost(n.sub,n.psub),s=this.combinePrePost(n.sup,n.psup),a=i(this.getUVQ(o,s),2),l=a[0],c=a[1];if(t.empty(),n.numPrescripts&&(t.combine(n.psup,r,l),t.combine(n.psub,r,c)),t.append(n.base),n.numScripts){var u=t.w;t.combine(n.sup,u,l),t.combine(n.sub,u,c),t.w+=r}t.clean(),this.setChildPWidths(e)},r.prototype.getScriptData=function(){var t=this.scriptData={base:null,sub:l.BBox.empty(),sup:l.BBox.empty(),psub:l.BBox.empty(),psup:l.BBox.empty(),numPrescripts:0,numScripts:0},e=this.getScriptBBoxLists();this.combineBBoxLists(t.sub,t.sup,e.subList,e.supList),this.combineBBoxLists(t.psub,t.psup,e.psubList,e.psupList),t.base=e.base[0],t.numPrescripts=e.psubList.length,t.numScripts=e.subList.length},r.prototype.getScriptBBoxLists=function(){var t,r,n={base:[],subList:[],supList:[],psubList:[],psupList:[]},o="base";try{for(var i=a(this.childNodes),s=i.next();!s.done;s=i.next()){var l=s.value;l.node.isKind("mprescripts")?o="psubList":(n[o].push(l.getOuterBBox()),o=e.NextScript[o])}}catch(e){t={error:e}}finally{try{s&&!s.done&&(r=i.return)&&r.call(i)}finally{if(t)throw t.error}}return this.firstPrescript=n.subList.length+n.supList.length+2,this.padLists(n.subList,n.supList),this.padLists(n.psubList,n.psupList),n},r.prototype.padLists=function(t,e){t.length>e.length&&e.push(l.BBox.empty())},r.prototype.combineBBoxLists=function(t,e,r,n){for(var o=0;o<r.length;o++){var s=i(this.getScaledWHD(r[o]),3),a=s[0],l=s[1],c=s[2],u=i(this.getScaledWHD(n[o]),3),p=u[0],h=u[1],f=u[2],d=Math.max(a,p);t.w+=d,e.w+=d,l>t.h&&(t.h=l),c>t.d&&(t.d=c),h>e.h&&(e.h=h),f>e.d&&(e.d=f)}},r.prototype.getScaledWHD=function(t){var e=t.w,r=t.h,n=t.d,o=t.rscale;return[e*o,r*o,n*o]},r.prototype.getUVQ=function(e,r){var n;if(!this.UVQ){var o=i([0,0,0],3),s=o[0],a=o[1],l=o[2];0===e.h&&0===e.d?s=this.getU():0===r.h&&0===r.d?s=-this.getV():(s=(n=i(t.prototype.getUVQ.call(this,e,r),3))[0],a=n[1],l=n[2]),this.UVQ=[s,a,l]}return this.UVQ},r}(t)}},5023:function(t,e){var r,n=this&&this.__extends||(r=function(t,e){return r=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)Object.prototype.hasOwnProperty.call(e,r)&&(t[r]=e[r])},r(t,e)},function(t,e){if("function"!=typeof e&&null!==e)throw new TypeError("Class extends value "+String(e)+" is not a constructor or null");function n(){this.constructor=t}r(t,e),t.prototype=null===e?Object.create(e):(n.prototype=e.prototype,new n)});Object.defineProperty(e,"__esModule",{value:!0}),e.CommonMnMixin=void 0,e.CommonMnMixin=function(t){return function(t){function e(){return null!==t&&t.apply(this,arguments)||this}return n(e,t),e.prototype.remapChars=function(t){if(t.length){var e=this.font.getRemappedChar("mn",t[0]);if(e){var 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n=t.apply(this,l([],a(e),!1))||this;return n.size=null,n.isAccent=n.node.isAccent,n}return i(e,t),e.prototype.computeBBox=function(t,e){if(void 0===e&&(e=!1),this.protoBBox(t),this.node.attributes.get("symmetric")&&2!==this.stretch.dir){var r=this.getCenterOffset(t);t.h+=r,t.d-=r}this.node.getProperty("mathaccent")&&(0===this.stretch.dir||this.size>=0)&&(t.w=0)},e.prototype.protoBBox=function(e){var r=0!==this.stretch.dir;r&&null===this.size&&this.getStretchedVariant([0]),r&&this.size<0||(t.prototype.computeBBox.call(this,e),this.copySkewIC(e))},e.prototype.getAccentOffset=function(){var t=u.BBox.empty();return this.protoBBox(t),-t.w/2},e.prototype.getCenterOffset=function(e){return void 0===e&&(e=null),e||(e=u.BBox.empty(),t.prototype.computeBBox.call(this,e)),(e.h+e.d)/2+this.font.params.axis_height-e.h},e.prototype.getVariant=function(){this.node.attributes.get("largeop")?this.variant=this.node.attributes.get("displaystyle")?"-largeop":"-smallop":this.node.attributes.getExplicit("mathvariant")||!1!==this.node.getProperty("pseudoscript")?t.prototype.getVariant.call(this):this.variant="-tex-variant"},e.prototype.canStretch=function(t){if(0!==this.stretch.dir)return this.stretch.dir===t;if(!this.node.attributes.get("stretchy"))return!1;var e=this.getText();if(1!==Array.from(e).length)return!1;var r=this.font.getDelimiter(e.codePointAt(0));return this.stretch=r&&r.dir===t?r:h.NOSTRETCH,0!==this.stretch.dir},e.prototype.getStretchedVariant=function(t,e){var r,n;if(void 0===e&&(e=!1),0!==this.stretch.dir){var o=this.getWH(t),i=this.getSize("minsize",0),a=this.getSize("maxsize",1/0),l=this.node.getProperty("mathaccent");o=Math.max(i,Math.min(a,o));var 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t.concat(n||Array.prototype.slice.call(e))},a=this&&this.__values||function(t){var e="function"==typeof Symbol&&Symbol.iterator,r=e&&t[e],n=0;if(r)return r.call(t);if(t&&"number"==typeof t.length)return{next:function(){return t&&n>=t.length&&(t=void 0),{value:t&&t[n++],done:!t}}};throw new TypeError(e?"Object is not iterable.":"Symbol.iterator is not defined.")};Object.defineProperty(e,"__esModule",{value:!0}),e.CommonMtableMixin=void 0;var l=r(6469),c=r(505),u=r(7875);e.CommonMtableMixin=function(t){return function(t){function e(){for(var e=[],r=0;r<arguments.length;r++)e[r]=arguments[r];var n=t.apply(this,s([],i(e),!1))||this;n.numCols=0,n.numRows=0,n.data=null,n.pwidthCells=[],n.pWidth=0,n.numCols=(0,u.max)(n.tableRows.map((function(t){return t.numCells}))),n.numRows=n.childNodes.length,n.hasLabels=n.childNodes.reduce((function(t,e){return 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o=(n-(e[t]+r[t]))/2;o<1e-5||(e[t]+=o,r[t]+=o)},e.prototype.recordPWidthCell=function(t,e){t.childNodes[0]&&t.childNodes[0].getBBox().pwidth&&this.pwidthCells.push([t,e])},e.prototype.computeBBox=function(t,e){void 0===e&&(e=!1);var r,n,o=this.getTableData(),s=o.H,a=o.D;if(this.node.attributes.get("equalrows")){var l=this.getEqualRowHeight();r=(0,u.sum)([].concat(this.rLines,this.rSpace))+l*this.numRows}else r=(0,u.sum)(s.concat(a,this.rLines,this.rSpace));r+=2*(this.fLine+this.fSpace[1]);var p=this.getComputedWidths();n=(0,u.sum)(p.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]);var h=this.node.attributes.get("width");"auto"!==h&&(n=Math.max(this.length2em(h,0)+2*this.fLine,n));var f=i(this.getBBoxHD(r),2),d=f[0],m=f[1];t.h=d,t.d=m,t.w=n;var y=i(this.getBBoxLR(),2),g=y[0],b=y[1];t.L=g,t.R=b,(0,c.isPercent)(h)||this.setColumnPWidths()},e.prototype.setChildPWidths=function(t,e,r){var n=this.node.attributes.get("width");if(!(0,c.isPercent)(n))return!1;this.hasLabels||(this.bbox.pwidth="",this.container.bbox.pwidth="");var o=this.bbox,i=o.w,s=o.L,a=o.R,l=this.node.attributes.get("data-width-includes-label"),p=Math.max(i,this.length2em(n,Math.max(e,s+i+a)))-(l?s+a:0),h=this.node.attributes.get("equalcolumns")?Array(this.numCols).fill(this.percent(1/Math.max(1,this.numCols))):this.getColumnAttributes("columnwidth",0);this.cWidths=this.getColumnWidthsFixed(h,p);var f=this.getComputedWidths();return this.pWidth=(0,u.sum)(f.concat(this.cLines,this.cSpace))+2*(this.fLine+this.fSpace[0]),this.isTop&&(this.bbox.w=this.pWidth),this.setColumnPWidths(),this.pWidth!==i&&this.parent.invalidateBBox(),this.pWidth!==i},e.prototype.setColumnPWidths=function(){var t,e,r=this.cWidths;try{for(var n=a(this.pwidthCells),o=n.next();!o.done;o=n.next()){var s=i(o.value,2),l=s[0],c=s[1];l.setChildPWidths(!1,r[c])&&(l.invalidateBBox(),l.getBBox())}}catch(e){t={error:e}}finally{try{o&&!o.done&&(e=n.return)&&e.call(n)}finally{if(t)throw t.error}}},e.prototype.getBBoxHD=function(t){var e=i(this.getAlignmentRow(),2),r=e[0],n=e[1];if(null===n){var o=this.font.params.axis_height,s=t/2;return{top:[0,t],center:[s,s],bottom:[t,0],baseline:[s,s],axis:[s+o,s-o]}[r]||[s,s]}var a=this.getVerticalPosition(n,r);return[a,t-a]},e.prototype.getBBoxLR=function(){if(this.hasLabels){var t=this.node.attributes,e=t.get("side"),r=i(this.getPadAlignShift(e),2),n=r[0],o=r[1],s=this.hasLabels&&!!t.get("data-width-includes-label");return s&&this.frame&&this.fSpace[0]&&(n-=this.fSpace[0]),"center"!==o||s?"left"===e?[n,0]:[0,n]:[n,n]}return[0,0]},e.prototype.getPadAlignShift=function(t){var 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this.node.attributes.get("equalcolumns")&&(r=Array(r.length).fill((0,u.max)(r))),r},e.prototype.getColumnWidths=function(){var t=this.node.attributes.get("width");if(this.node.attributes.get("equalcolumns"))return this.getEqualColumns(t);var e=this.getColumnAttributes("columnwidth",0);return"auto"===t?this.getColumnWidthsAuto(e):(0,c.isPercent)(t)?this.getColumnWidthsPercent(e):this.getColumnWidthsFixed(e,this.length2em(t))},e.prototype.getEqualColumns=function(t){var e,r=Math.max(1,this.numCols);if("auto"===t){var n=this.getTableData().W;e=(0,u.max)(n)}else if((0,c.isPercent)(t))e=this.percent(1/r);else{var o=(0,u.sum)([].concat(this.cLines,this.cSpace))+2*this.fSpace[0];e=Math.max(0,this.length2em(t)-o)/r}return Array(this.numCols).fill(e)},e.prototype.getColumnWidthsAuto=function(t){var e=this;return t.map((function(t){return"auto"===t||"fit"===t?null:(0,c.isPercent)(t)?t:e.length2em(t)}))},e.prototype.getColumnWidthsPercent=function(t){var 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e=this.store;this.moving||e.insertTaborder(),e.active.focus()}},e.prototype.left=function(t){this.move_(this.store.previous())},e.prototype.right=function(t){this.move_(this.store.next())},Object.defineProperty(e.prototype,"frame",{get:function(){return this._frame},enumerable:!1,configurable:!0}),Object.defineProperty(e.prototype,"store",{get:function(){return this._store},enumerable:!1,configurable:!0}),e.prototype.post=function(e,r){if(void 0!==r)return this.moving||this.store.removeTaborder(),void t.prototype.post.call(this,e,r);var n,o,i,s=e;if(s instanceof Event?(n=s.target,this.stop(s)):n=s,s instanceof MouseEvent&&(o=s.pageX,i=s.pageY,o||i||!s.clientX||(o=s.clientX+document.body.scrollLeft+document.documentElement.scrollLeft,i=s.clientY+document.body.scrollTop+document.documentElement.scrollTop)),!o&&!i&&n){var a=window.pageXOffset||document.documentElement.scrollLeft,l=window.pageYOffset||document.documentElement.scrollTop,c=n.getBoundingClientRect();o=(c.right+c.left)/2+a,i=(c.bottom+c.top)/2+l}this.store.active=n,this.anchor=this.store.active;var u=this.html;o+u.offsetWidth>document.body.offsetWidth-5&&(o=document.body.offsetWidth-u.offsetWidth-5),this.post(o,i)},e.prototype.registerWidget=function(t){this.widgets.push(t)},e.prototype.unregisterWidget=function(t){var e=this.widgets.indexOf(t);e>-1&&this.widgets.splice(e,1),0===this.widgets.length&&this.unpost()},e.prototype.unpostWidgets=function(){this.widgets.forEach((function(t){return t.unpost()}))},e.prototype.toJson=function(){return{type:""}},e.prototype.move_=function(t){this.anchor&&t!==this.anchor&&(this.moving=!0,this.unpost(),this.post(t),this.moving=!1)},e}(i.AbstractMenu);e.ContextMenu=c},7309:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.CssStyles=void 0;var n=r(2165);!function(t){function e(t){return"."+(n.HtmlClasses[t]||t)}var r={};r[e("INFOCLOSE")]="{  top:.2em; right:.2em;}",r[e("INFOCONTENT")]="{  overflow:auto; text-align:left; font-size:80%;  padding:.4em .6em; border:1px inset; margin:1em 0px;  max-height:20em; max-width:30em; background-color:#EEEEEE;  white-space:normal;}",r[e("INFO")+e("MOUSEPOST")]="{outline:none;}",r[e("INFO")]='{  position:fixed; left:50%; width:auto; text-align:center;  border:3px outset; padding:1em 2em; background-color:#DDDDDD;  color:black;  cursor:default; font-family:message-box; font-size:120%;  font-style:normal; text-indent:0; text-transform:none;  line-height:normal; letter-spacing:normal; word-spacing:normal;  word-wrap:normal; white-space:nowrap; float:none; z-index:201;  border-radius: 15px;                     /* Opera 10.5 and IE9 */  -webkit-border-radius:15px;               /* Safari and Chrome */  -moz-border-radius:15px;                  /* Firefox */  -khtml-border-radius:15px;                /* Konqueror */  box-shadow:0px 10px 20px #808080;         /* Opera 10.5 and IE9 */  -webkit-box-shadow:0px 10px 20px #808080; /* Safari 3 & Chrome */  -moz-box-shadow:0px 10px 20px #808080;    /* Forefox 3.5 */  -khtml-box-shadow:0px 10px 20px #808080;  /* Konqueror */  filter:progid:DXImageTransform.Microsoft.dropshadow(OffX=2, OffY=2, Color="gray", Positive="true"); /* IE */}';var o={};o[e("MENU")]="{  position:absolute;  background-color:white;  color:black;  width:auto; padding:5px 0px;  border:1px solid #CCCCCC; margin:0; cursor:default;  font: menu; text-align:left; text-indent:0; text-transform:none;  line-height:normal; letter-spacing:normal; word-spacing:normal;  word-wrap:normal; white-space:nowrap; float:none; z-index:201;  border-radius: 5px;                     /* Opera 10.5 and IE9 */  -webkit-border-radius: 5px;             /* Safari and Chrome */  -moz-border-radius: 5px;                /* Firefox */  -khtml-border-radius: 5px;              /* Konqueror */  box-shadow:0px 10px 20px #808080;         /* Opera 10.5 and IE9 */  -webkit-box-shadow:0px 10px 20px #808080; /* Safari 3 & Chrome */  -moz-box-shadow:0px 10px 20px #808080;    /* Forefox 3.5 */  -khtml-box-shadow:0px 10px 20px #808080;  /* Konqueror */}",o[e("MENUITEM")]="{  padding: 1px 2em;  background:transparent;}",o[e("MENUARROW")]="{  position:absolute; right:.5em; padding-top:.25em; color:#666666;  font-family: null; font-size: .75em}",o[e("MENUACTIVE")+" "+e("MENUARROW")]="{color:white}",o[e("MENUARROW")+e("RTL")]="{left:.5em; right:auto}",o[e("MENUCHECK")]="{  position:absolute; left:.7em;  font-family: null}",o[e("MENUCHECK")+e("RTL")]="{ right:.7em; left:auto }",o[e("MENURADIOCHECK")]="{  position:absolute; left: .7em;}",o[e("MENURADIOCHECK")+e("RTL")]="{  right: .7em; left:auto}",o[e("MENUINPUTBOX")]="{  padding-left: 1em; right:.5em; color:#666666;  font-family: null;}",o[e("MENUINPUTBOX")+e("RTL")]="{  left: .1em;}",o[e("MENUCOMBOBOX")]="{  left:.1em; padding-bottom:.5em;}",o[e("MENUSLIDER")]="{ 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background-color:#FFFFFF;}",o[e("SELECTIONDIVIDER")]="{  clear: both; border-top: 2px solid #000000;}",o[e("MENU")+" "+e("MENUCLOSE")]="{  top:-10px; left:-10px}";var i={};i[e("MENUCLOSE")]='{  position:absolute;  cursor:pointer;  display:inline-block;  border:2px solid #AAA;  border-radius:18px;  -webkit-border-radius: 18px;             /* Safari and Chrome */  -moz-border-radius: 18px;                /* Firefox */  -khtml-border-radius: 18px;              /* Konqueror */  font-family: "Courier New", Courier;  font-size:24px;  color:#F0F0F0}',i[e("MENUCLOSE")+" span"]="{  display:block; background-color:#AAA; border:1.5px solid;  border-radius:18px;  -webkit-border-radius: 18px;             /* Safari and Chrome */  -moz-border-radius: 18px;                /* Firefox */  -khtml-border-radius: 18px;              /* Konqueror */  line-height:0;  padding:8px 0 6px     /* may need to be browser-specific */}",i[e("MENUCLOSE")+":hover"]="{  color:white!important;  border:2px solid #CCC!important}",i[e("MENUCLOSE")+":hover span"]="{  background-color:#CCC!important}",i[e("MENUCLOSE")+":hover:focus"]="{  outline:none}";var s=!1,a=!1,l=!1;function c(t){l||(u(i,t),l=!0)}function u(t,e){var r=e||document,n=r.createElement("style");n.type="text/css";var o="";for(var i in t)o+=i,o+=" ",o+=t[i],o+="\n";n.innerHTML=o,r.head.appendChild(n)}t.addMenuStyles=function(t){a||(u(o,t),a=!0,c(t))},t.addInfoStyles=function(t){s||(u(r,t),s=!0,c(t))}}(e.CssStyles||(e.CssStyles={}))},2165:function(t,e){Object.defineProperty(e,"__esModule",{value:!0}),e.HtmlAttrs=e.HtmlClasses=void 0;function r(t){return"CtxtMenu_"+t}function n(t){return r(t)}function o(t){return r(t)}e.HtmlClasses={ATTACHED:n("Attached"),CONTEXTMENU:n("ContextMenu"),MENU:n("Menu"),MENUARROW:n("MenuArrow"),MENUACTIVE:n("MenuActive"),MENUCHECK:n("MenuCheck"),MENUCLOSE:n("MenuClose"),MENUCOMBOBOX:n("MenuComboBox"),MENUDISABLED:n("MenuDisabled"),MENUFRAME:n("MenuFrame"),MENUITEM:n("MenuItem"),MENULABEL:n("MenuLabel"),MENURADIOCHECK:n("MenuRadioCheck"),MENUINPUTBOX:n("MenuInputBox"),MENURULE:n("MenuRule"),MENUSLIDER:n("MenuSlider"),MOUSEPOST:n("MousePost"),RTL:n("RTL"),INFO:n("Info"),INFOCLOSE:n("InfoClose"),INFOCONTENT:n("InfoContent"),INFOSIGNATURE:n("InfoSignature"),INFOTITLE:n("InfoTitle"),SLIDERVALUE:n("SliderValue"),SLIDERBAR:n("SliderBar"),SELECTION:n("Selection"),SELECTIONBOX:n("SelectionBox"),SELECTIONMENU:n("SelectionMenu"),SELECTIONDIVIDER:n("SelectionDivider"),SELECTIONITEM:n("SelectionItem")},e.HtmlAttrs={COUNTER:o("Counter"),KEYDOWNFUNC:o("keydownFunc"),CONTEXTMENUFUNC:o("contextmenuFunc"),OLDTAB:o("Oldtabindex"),TOUCHFUNC:o("TouchFunc")}},4922:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])},n(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.Info=void 0;var i=r(5179),s=r(2165),a=function(t){function e(e,r,n){var o=t.call(this)||this;return o.title=e,o.signature=n,o.className=s.HtmlClasses.INFO,o.role="dialog",o.contentDiv=o.generateContent(),o.close=o.generateClose(),o.content=r||function(){return""},o}return o(e,t),e.prototype.attachMenu=function(t){this.menu=t},e.prototype.generateHtml=function(){t.prototype.generateHtml.call(this);var e=this.html;e.appendChild(this.generateTitle()),e.appendChild(this.contentDiv),e.appendChild(this.generateSignature()),e.appendChild(this.close.html),e.setAttribute("tabindex","0")},e.prototype.post=function(){t.prototype.post.call(this);var e=document.documentElement,r=this.html,n=window.innerHeight||e.clientHeight||e.scrollHeight||0,o=Math.floor(-r.offsetWidth/2),i=Math.floor((n-r.offsetHeight)/3);r.setAttribute("style","margin-left: "+o+"px; top: "+i+"px;"),window.event instanceof MouseEvent&&r.classList.add(s.HtmlClasses.MOUSEPOST),r.focus()},e.prototype.display=function(){this.menu.registerWidget(this),this.contentDiv.innerHTML=this.content();var t=this.menu.html;t.parentNode&&t.parentNode.removeChild(t),this.menu.frame.appendChild(this.html)},e.prototype.click=function(t){},e.prototype.keydown=function(e){this.bubbleKey(),t.prototype.keydown.call(this,e)},e.prototype.escape=function(t){this.unpost()},e.prototype.unpost=function(){t.prototype.unpost.call(this),this.html.classList.remove(s.HtmlClasses.MOUSEPOST),this.menu.unregisterWidget(this)},e.prototype.generateClose=function(){var t=new i.CloseButton(this),e=t.html;return e.classList.add(s.HtmlClasses.INFOCLOSE),e.setAttribute("aria-label","Close Dialog Box"),t},e.prototype.generateTitle=function(){var t=document.createElement("span");return t.innerHTML=this.title,t.classList.add(s.HtmlClasses.INFOTITLE),t},e.prototype.generateContent=function(){var t=document.createElement("div");return t.classList.add(s.HtmlClasses.INFOCONTENT),t.setAttribute("tabindex","0"),t},e.prototype.generateSignature=function(){var t=document.createElement("span");return t.innerHTML=this.signature,t.classList.add(s.HtmlClasses.INFOSIGNATURE),t},e.prototype.toJson=function(){return{type:""}},e}(r(8372).AbstractPostable);e.Info=a},1409:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])},n(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.Checkbox=void 0;var i=r(6765),s=r(2556),a=r(2165),l=function(t){function e(e,r,n,o){var i=t.call(this,e,"checkbox",r,o)||this;return i.role="menuitemcheckbox",i.variable=e.pool.lookup(n),i.register(),i}return o(e,t),e.fromJson=function(t,e,r){return new this(r,e.content,e.variable,e.id)},e.prototype.executeAction=function(){this.variable.setValue(!this.variable.getValue()),s.MenuUtil.close(this)},e.prototype.generateSpan=function(){this.span=document.createElement("span"),this.span.textContent="\u2713",this.span.classList.add(a.HtmlClasses.MENUCHECK)},e.prototype.updateAria=function(){this.html.setAttribute("aria-checked",this.variable.getValue()?"true":"false")},e.prototype.updateSpan=function(){this.span.style.display=this.variable.getValue()?"":"none"},e.prototype.toJson=function(){return{type:""}},e}(i.AbstractVariableItem);e.Checkbox=l},9886:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])},n(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.Combo=void 0;var i=r(6765),s=r(2556),a=r(2165),l=r(3205),c=function(t){function e(e,r,n,o){var i=t.call(this,e,"combobox",r,o)||this;return i.role="combobox",i.inputEvent=!1,i.variable=e.pool.lookup(n),i.register(),i}return o(e,t),e.fromJson=function(t,e,r){return new this(r,e.content,e.variable,e.id)},e.prototype.executeAction=function(){this.variable.setValue(this.input.value,s.MenuUtil.getActiveElement(this))},e.prototype.space=function(e){t.prototype.space.call(this,e),s.MenuUtil.close(this)},e.prototype.focus=function(){t.prototype.focus.call(this),this.input.focus()},e.prototype.unfocus=function(){t.prototype.unfocus.call(this),this.updateSpan()},e.prototype.generateHtml=function(){t.prototype.generateHtml.call(this),this.html.classList.add(a.HtmlClasses.MENUCOMBOBOX)},e.prototype.generateSpan=function(){this.span=document.createElement("span"),this.span.classList.add(a.HtmlClasses.MENUINPUTBOX),this.input=document.createElement("input"),this.input.addEventListener("keydown",this.inputKey.bind(this)),this.input.setAttribute("size","10em"),this.input.setAttribute("type","text"),this.input.setAttribute("tabindex","-1"),this.span.appendChild(this.input)},e.prototype.inputKey=function(t){this.bubbleKey(),this.inputEvent=!0},e.prototype.keydown=function(e){if(this.inputEvent&&e.keyCode!==l.KEY.ESCAPE&&e.keyCode!==l.KEY.RETURN)return this.inputEvent=!1,void e.stopPropagation();t.prototype.keydown.call(this,e),e.stopPropagation()},e.prototype.updateAria=function(){},e.prototype.updateSpan=function(){var t;try{t=this.variable.getValue(s.MenuUtil.getActiveElement(this))}catch(e){t=""}this.input.value=t},e.prototype.toJson=function(){return{type:""}},e}(i.AbstractVariableItem);e.Combo=c},3467:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])},n(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.Command=void 0;var i=r(1340),s=r(2556),a=function(t){function e(e,r,n,o){var i=t.call(this,e,"command",r,o)||this;return i.command=n,i}return o(e,t),e.fromJson=function(t,e,r){return new this(r,e.content,e.action,e.id)},e.prototype.executeAction=function(){try{this.command(s.MenuUtil.getActiveElement(this))}catch(t){s.MenuUtil.error(t,"Illegal command callback.")}s.MenuUtil.close(this)},e.prototype.toJson=function(){return{type:""}},e}(i.AbstractItem);e.Command=a},2965:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])},n(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.Label=void 0;var i=r(1340),s=r(2165),a=function(t){function e(e,r,n){return t.call(this,e,"label",r,n)||this}return o(e,t),e.fromJson=function(t,e,r){return new this(r,e.content,e.id)},e.prototype.generateHtml=function(){t.prototype.generateHtml.call(this),this.html.classList.add(s.HtmlClasses.MENULABEL)},e.prototype.toJson=function(){return{type:""}},e}(i.AbstractItem);e.Label=a},385:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])},n(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.Radio=void 0;var i=r(6765),s=r(2556),a=r(2165),l=function(t){function e(e,r,n,o){var i=t.call(this,e,"radio",r,o)||this;return i.role="menuitemradio",i.variable=e.pool.lookup(n),i.register(),i}return o(e,t),e.fromJson=function(t,e,r){return new this(r,e.content,e.variable,e.id)},e.prototype.executeAction=function(){this.variable.setValue(this.id),s.MenuUtil.close(this)},e.prototype.generateSpan=function(){this.span=document.createElement("span"),this.span.textContent="\u2713",this.span.classList.add(a.HtmlClasses.MENURADIOCHECK)},e.prototype.updateAria=function(){this.html.setAttribute("aria-checked",this.variable.getValue()===this.id?"true":"false")},e.prototype.updateSpan=function(){this.span.style.display=this.variable.getValue()===this.id?"":"none"},e.prototype.toJson=function(){return{type:""}},e}(i.AbstractVariableItem);e.Radio=l},3463:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])},n(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.Rule=void 0;var i=r(9329),s=r(2165),a=function(t){function e(e){var r=t.call(this,e,"rule")||this;return r.className=s.HtmlClasses.MENUITEM,r.role="separator",r}return o(e,t),e.fromJson=function(t,e,r){return new this(r)},e.prototype.generateHtml=function(){t.prototype.generateHtml.call(this);var e=this.html;e.classList.add(s.HtmlClasses.MENURULE),e.setAttribute("aria-orientation","vertical")},e.prototype.addEvents=function(t){},e.prototype.toJson=function(){return{type:"rule"}},e}(i.AbstractEntry);e.Rule=a},7625:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])},n(t,e)},function(t,e){function r(){this.constructor=t}n(t,e),t.prototype=null===e?Object.create(e):(r.prototype=e.prototype,new r)});Object.defineProperty(e,"__esModule",{value:!0}),e.Slider=void 0;var i=r(6765),s=r(2556),a=r(2165),l=r(3205),c=function(t){function e(e,r,n,o){var i=t.call(this,e,"slider",r,o)||this;return i.role="slider",i.labelId="ctx_slideLabel"+s.MenuUtil.counter(),i.valueId="ctx_slideValue"+s.MenuUtil.counter(),i.inputEvent=!1,i.variable=e.pool.lookup(n),i.register(),i}return o(e,t),e.fromJson=function(t,e,r){return new 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r=e.keyCode;return r===l.KEY.UP||r===l.KEY.DOWN?(e.preventDefault(),void t.prototype.keydown.call(this,e)):this.inputEvent&&r!==l.KEY.ESCAPE&&r!==l.KEY.RETURN?(this.inputEvent=!1,void e.stopPropagation()):(t.prototype.keydown.call(this,e),void e.stopPropagation())},e.prototype.updateAria=function(){var t=this.variable.getValue();t&&this.input&&(this.input.setAttribute("aria-valuenow",t),this.input.setAttribute("aria-valuetext",t+"%"))},e.prototype.updateSpan=function(){var t;try{t=this.variable.getValue(s.MenuUtil.getActiveElement(this)),this.valueSpan.innerHTML=t+"%"}catch(e){t=""}this.input.value=t},e.prototype.toJson=function(){return{type:""}},e}(i.AbstractVariableItem);e.Slider=c},6186:function(t,e,r){var n,o=this&&this.__extends||(n=function(t,e){return n=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(t,e){t.__proto__=e}||function(t,e){for(var r in e)e.hasOwnProperty(r)&&(t[r]=e[r])},n(t,e)},function(t,e){function 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s=a.selections.slice(t,t+o),l=i(a.rowDiv(s),4),c=l[0],u=l[1],p=l[2],h=l[3];e.push(c),r=Math.max(r,u),s.forEach((function(t){return t.html.style.height=p+"px"})),n=a.combineColumn(n,h)},a=this,l=0;l<this.selections.length;l+=o)s(l);this._balanced&&(this.balanceColumn(e,n),r=n.reduce((function(t,e){return t+e}),20)),e.forEach((function(t){return t.style.width=r+"px"}))}},e.prototype.getChunkSize=function(t){switch(this.grid){case"square":return Math.floor(Math.sqrt(t));case"horizontal":return Math.floor(t/e.chunkSize);default:return e.chunkSize}},e.prototype.balanceColumn=function(t,e){t.forEach((function(t){for(var r=Array.from(t.children),n=0,o=void 0;o=r[n];n++)o.style.width=e[n]+"px"}))},e.prototype.combineColumn=function(t,e){for(var r=[],n=0;t[n]||e[n];){if(!t[n]){r=r.concat(e.slice(n));break}if(!e[n]){r=r.concat(t.slice(n));break}r.push(Math.max(t[n],e[n])),n++}return r},e.prototype.left=function(t){var e=this;this.move(t,(function(t){return(0===t?e.selections.length:t)-1}))},e.prototype.right=function(t){var e=this;this.move(t,(function(t){return t===e.selections.length-1?0:t+1}))},e.prototype.generateHtml=function(){t.prototype.generateHtml.call(this),this.html.classList.add(a.HtmlClasses.SELECTION)},e.prototype.generateContent=function(){var e=t.prototype.generateContent.call(this);return e.classList.add(a.HtmlClasses.SELECTIONBOX),e.removeAttribute("tabindex"),e},e.prototype.findSelection=function(t){var e=t.target,r=null;if(e.id&&(r=this.selections.find((function(t){return t.html.id===e.id}))),!r){var n=e.parentElement.id;r=this.selections.find((function(t){return t.html.id===n}))}return r},e.prototype.move=function(t,e){var r=this.findSelection(t);r.focused&&r.focused.unfocus();var 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this.semantic.contentNodes.length&&o.walkTree(this.semantic.contentNodes[0]),this.semantic.childNodes.length&&o.walkTree(this.semantic.childNodes[0]),(0,i.setAttributes)(this.mml,this.semantic),this.mml}}e.CaseLine=s},6839:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.CaseMultiindex=void 0;const n=r(5740),o=r(9268),i=r(5452),s=r(2298);class a extends o.AbstractEnrichCase{constructor(t){super(t),this.mml=t.mathmlTree}static multiscriptIndex(t){return"punctuated"===t.type&&"dummy"===t.contentNodes[0].role?i.collapsePunctuated(t):(i.walkTree(t),t.id)}static createNone_(t){const e=n.createElement("none");return t&&(0,s.setAttributes)(e,t),e.setAttribute(s.Attribute.ADDED,"true"),e}completeMultiscript(t,e){const r=n.toArray(this.mml.childNodes).slice(1);let o=0;const l=t=>{for(let e,n=0;e=t[n];n++){const t=r[o];if(t&&e===parseInt(i.getInnerNode(t).getAttribute(s.Attribute.ID)))i.getInnerNode(t).setAttribute(s.Attribute.PARENT,this.semantic.id.toString()),o++;else{const r=this.semantic.querySelectorAll((t=>t.id===e));this.mml.insertBefore(a.createNone_(r[0]),t||null)}}};l(t),r[o]&&"MPRESCRIPTS"!==n.tagName(r[o])?this.mml.insertBefore(r[o],n.createElement("mprescripts")):o++,l(e)}}e.CaseMultiindex=a},7014:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.CaseMultiscripts=void 0;const n=r(5740),o=r(5656),i=r(6839),s=r(5452),a=r(2298);class l extends i.CaseMultiindex{static test(t){if(!t.mathmlTree)return!1;return"MMULTISCRIPTS"===n.tagName(t.mathmlTree)&&("superscript"===t.type||"subscript"===t.type)}constructor(t){super(t)}getMathml(){let t,e,r;if((0,a.setAttributes)(this.mml,this.semantic),this.semantic.childNodes[0]&&"subsup"===this.semantic.childNodes[0].role){const n=this.semantic.childNodes[0];t=n.childNodes[0],e=i.CaseMultiindex.multiscriptIndex(this.semantic.childNodes[1]),r=i.CaseMultiindex.multiscriptIndex(n.childNodes[1]);const l=[this.semantic.id,[n.id,t.id,r],e];s.addCollapsedAttribute(this.mml,l),this.mml.setAttribute(a.Attribute.TYPE,n.role),this.completeMultiscript(o.SemanticSkeleton.interleaveIds(r,e),[])}else{t=this.semantic.childNodes[0],e=i.CaseMultiindex.multiscriptIndex(this.semantic.childNodes[1]);const r=[this.semantic.id,t.id,e];s.addCollapsedAttribute(this.mml,r)}const n=o.SemanticSkeleton.collapsedLeafs(r||[],e),l=s.walkTree(t);return s.getInnerNode(l).setAttribute(a.Attribute.PARENT,this.semantic.id.toString()),n.unshift(t.id),this.mml.setAttribute(a.Attribute.CHILDREN,n.join(",")),this.mml}}e.CaseMultiscripts=l},3416:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.CaseProof=void 0;const n=r(9268),o=r(5452),i=r(2298);class s extends n.AbstractEnrichCase{constructor(t){super(t),this.mml=t.mathmlTree}static test(t){return!!t.mathmlTree&&("inference"===t.type||"premises"===t.type)}getMathml(){return this.semantic.childNodes.length?(this.semantic.contentNodes.forEach((function(t){o.walkTree(t),(0,i.setAttributes)(t.mathmlTree,t)})),this.semantic.childNodes.forEach((function(t){o.walkTree(t)})),(0,i.setAttributes)(this.mml,this.semantic),this.mml.getAttribute("data-semantic-id")===this.mml.getAttribute("data-semantic-parent")&&this.mml.removeAttribute("data-semantic-parent"),this.mml):this.mml}}e.CaseProof=s},5699:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.CaseTable=void 0;const n=r(5740),o=r(9268),i=r(5452),s=r(2298);class a extends o.AbstractEnrichCase{constructor(t){super(t),this.inner=[],this.mml=t.mathmlTree}static test(t){return"matrix"===t.type||"vector"===t.type||"cases"===t.type}getMathml(){const t=i.cloneContentNode(this.semantic.contentNodes[0]),e=this.semantic.contentNodes[1]?i.cloneContentNode(this.semantic.contentNodes[1]):null;if(this.inner=this.semantic.childNodes.map(i.walkTree),this.mml)if("MFENCED"===n.tagName(this.mml)){const 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l=[this.semantic.id,this.semantic.childNodes[0].id,t,e,r,a];i.addCollapsedAttribute(this.mml,l);const c=n.SemanticSkeleton.collapsedLeafs(t,e,r,a);return c.unshift(this.semantic.childNodes[0].id),this.mml.setAttribute(s.Attribute.CHILDREN,c.join(",")),this.completeMultiscript(n.SemanticSkeleton.interleaveIds(r,a),n.SemanticSkeleton.interleaveIds(t,e)),this.mml}}e.CaseTensor=a},9236:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.CaseText=void 0;const n=r(9268),o=r(5452),i=r(2298);class s extends n.AbstractEnrichCase{constructor(t){super(t),this.mml=t.mathmlTree}static test(t){return"punctuated"===t.type&&("text"===t.role||t.contentNodes.every((t=>"dummy"===t.role)))}getMathml(){const t=[],e=o.collapsePunctuated(this.semantic,t);return this.mml=o.introduceNewLayer(t,this.semantic),(0,i.setAttributes)(this.mml,this.semantic),this.mml.removeAttribute(i.Attribute.CONTENT),o.addCollapsedAttribute(this.mml,e),this.mml}}e.CaseText=s},5714:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.prepareMmlString=e.testTranslation__=e.semanticMathml=e.semanticMathmlSync=e.semanticMathmlNode=void 0;const n=r(2057),o=r(5740),i=r(5897),s=r(1414),a=r(5452),l=r(2298);function c(t){const e=o.cloneNode(t),r=s.getTree(e);return a.enrich(e,r)}function u(t){return c(o.parseInput(t))}function p(t){return t.match(/^<math/)||(t="<math>"+t),t.match(/\/math>$/)||(t+="</math>"),t}r(1513),e.semanticMathmlNode=c,e.semanticMathmlSync=u,e.semanticMathml=function(t,e){i.EnginePromise.getall().then((()=>{const r=o.parseInput(t);e(c(r))}))},e.testTranslation__=function(t){n.Debugger.getInstance().init();const 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h.CaseText(t)})},5452:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.printNodeList__=e.collapsePunctuated=e.formattedOutput_=e.formattedOutput=e.getInnerNode=e.setOperatorAttribute_=e.createInvisibleOperator_=e.rewriteMfenced=e.cloneContentNode=e.addCollapsedAttribute=e.parentNode_=e.isIgnorable_=e.unitChild_=e.descendNode_=e.ascendNewNode=e.validLca_=e.pathToRoot_=e.attachedElement_=e.prunePath_=e.mathmlLca_=e.lcaType=e.functionApplication_=e.isDescendant_=e.insertNewChild_=e.mergeChildren_=e.collectChildNodes_=e.collateChildNodes_=e.childrenSubset_=e.moveSemanticAttributes_=e.introduceLayerAboveLca=e.introduceNewLayer=e.walkTree=e.enrich=e.SETTINGS=void 0;const n=r(2057),o=r(5740),i=r(5897),s=r(3588),a=r(7516),l=r(5656),c=r(4795),u=r(2298),p=r(3532);function h(t){const e=(0,p.getCase)(t);let r;if(e)return r=e.getMathml(),N(r);if(1===t.mathml.length)return n.Debugger.getInstance().output("Walktree Case 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r=t.context,o=t.dynamicCstr.getValues();for(let t=0,i=o.length;t<i;t++)e=this.addNode_(e,o[t],n.TrieNodeKind.DYNAMIC,r);e=this.addNode_(e,t.precondition.query,n.TrieNodeKind.QUERY,r);const i=t.precondition.constraints;for(let t=0,o=i.length;t<o;t++)e=this.addNode_(e,i[t],n.TrieNodeKind.BOOLEAN,r);e.setRule(t)}lookupRules(t,e){let r=[this.root];const o=[];for(;e.length;){const t=e.shift(),o=[];for(;r.length;){r.shift().getChildren().forEach((e=>{e.getKind()===n.TrieNodeKind.DYNAMIC&&-1===t.indexOf(e.getConstraint())||o.push(e)}))}r=o.slice()}for(;r.length;){const e=r.shift();if(e.getRule){const t=e.getRule();t&&o.push(t)}const n=e.findChildren(t);r=r.concat(n)}return o}hasSubtrie(t){let e=this.root;for(let r=0,n=t.length;r<n;r++){const n=t[r];if(e=e.getChild(n),!e)return!1}return!0}toString(){return i.printWithDepth_(this.root,0,"")}collectRules(){return i.collectRules_(this.root)}order(){return i.order_(this.root)}enumerate(t){return this.enumerate_(this.root,t)}byConstraint(t){let 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e,r=this.speechRules_.length-1;e=this.speechRules_[r];r--)e!==t&&t.dynamicCstr.equal(e.dynamicCstr)&&a.comparePreconditions_(e,t)&&this.speechRules_.splice(r,1)}getSpeechRules(){return this.speechRules_}setSpeechRules(t){this.speechRules_=t}getPreconditions(){return this.preconditions}parseCstr(t){try{return this.parser.parse(this.locale+"."+this.modality+(this.domain?"."+this.domain:"")+"."+t)}catch(e){if("RuleError"===e.name)return console.error("Rule Error ",`Illegal Dynamic Constraint: ${t}.`,e.message),null;throw e}}parsePrecondition(t,e){try{const r=this.parsePrecondition_(t);t=r[0];let n=r.slice(1);for(const t of e)n=n.concat(this.parsePrecondition_(t));return new i.Precondition(t,...n)}catch(r){if("RuleError"===r.name)return console.error("Rule Error ",`Illegal preconditions: ${t}, ${e}.`,r.message),null;throw r}}parseAction(t){try{return i.Action.fromString(t)}catch(e){if("RuleError"===e.name)return console.error("Rule Error ",`Illegal action: ${t}.`,e.message),null;throw e}}parse(t){this.modality=t.modality||this.modality,this.locale=t.locale||this.locale,this.domain=t.domain||this.domain,this.context.parse(t.functions||[]),"actions"!==t.kind&&(this.kind=t.kind||this.kind,this.inheritRules()),this.parseRules(t.rules||[])}parseRules(t){for(let e,r=0;e=t[r];r++){const t=e[0],r=this.parseMethods[t];t&&r&&r.apply(this,e.slice(1))}}generateRules(t){const e=this.context.customGenerators.lookup(t);e&&e(this)}defineAction(t,e){let r;try{r=i.Action.fromString(e)}catch(t){if("RuleError"===t.name)return void console.error("Action Error ",e,t.message);throw t}const n=this.getFullPreconditions(t);if(!n)return void console.error(`Action Error: No precondition for action ${t}`);this.ignoreRules(t);const o=new RegExp("^\\w+\\.\\w+\\."+(this.domain?"\\w+\\.":""));n.conditions.forEach((([e,n])=>{const s=this.parseCstr(e.toString().replace(o,""));this.addRule(new i.SpeechRule(t,s,n,r))}))}getFullPreconditions(t){const e=this.preconditions.get(t);return e||!this.inherits?e:this.inherits.getFullPreconditions(t)}definePrecondition(t,e,r,...n){const o=this.parsePrecondition(r,n),i=this.parseCstr(e);o&&i?(o.rank=this.rank++,this.preconditions.set(t,new l(i,o))):console.error(`Precondition Error: ${r}, (${e})`)}inheritRules(){if(!this.inherits||!this.inherits.getSpeechRules().length)return;const t=new RegExp("^\\w+\\.\\w+\\."+(this.domain?"\\w+\\.":""));this.inherits.getSpeechRules().forEach((e=>{const r=this.parseCstr(e.dynamicCstr.toString().replace(t,""));this.addRule(new i.SpeechRule(e.name,r,e.precondition,e.action))}))}ignoreRules(t,...e){let r=this.findAllRules((e=>e.name===t));if(!e.length)return void r.forEach(this.deleteRule.bind(this));let n=[];for(const t of e){const e=this.parseCstr(t);for(const t of r)e.equal(t.dynamicCstr)?this.deleteRule(t):n.push(t);r=n,n=[]}}parsePrecondition_(t){const e=this.context.customGenerators.lookup(t);return e?e():[t]}}e.BaseRuleStore=a;class l{constructor(t,e){this.base=t,this._conditions=[],this.constraints=[],this.allCstr={},this.constraints.push(t),this.addCondition(t,e)}get conditions(){return this._conditions}addConstraint(t){if(this.constraints.filter((e=>e.equal(t))).length)return;this.constraints.push(t);const e=[];for(const[r,n]of this.conditions)this.base.equal(r)&&e.push([t,n]);this._conditions=this._conditions.concat(e)}addBaseCondition(t){this.addCondition(this.base,t)}addFullCondition(t){this.constraints.forEach((e=>this.addCondition(e,t)))}addCondition(t,e){const r=t.toString()+" "+e.toString();this.allCstr.condStr||(this.allCstr[r]=!0,this._conditions.push([t,e]))}}e.Condition=l},2469:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.BrailleStore=void 0;const n=r(7630),o=r(9935);class i extends o.MathStore{constructor(){super(...arguments),this.modality="braille",this.customTranscriptions={"\u22ca":"\u2808\u2821\u2833"}}evaluateString(t){const e=[],r=Array.from(t);for(let t=0;t<r.length;t++)e.push(this.evaluateCharacter(r[t]));return e}annotations(){for(let t,e=0;t=this.annotators[e];e++)(0,n.activate)(this.locale,t)}}e.BrailleStore=i},1676:function(t,e){var r;Object.defineProperty(e,"__esModule",{value:!0}),e.DefaultComparator=e.DynamicCstrParser=e.DynamicCstr=e.DynamicProperties=e.Axis=void 0,function(t){t.DOMAIN="domain",t.STYLE="style",t.LOCALE="locale",t.TOPIC="topic",t.MODALITY="modality"}(r=e.Axis||(e.Axis={}));class n{constructor(t,e=Object.keys(t)){this.properties=t,this.order=e}static createProp(...t){const e=o.DEFAULT_ORDER,r={};for(let n=0,o=t.length,i=e.length;n<o&&n<i;n++)r[e[n]]=t[n];return new n(r)}getProperties(){return this.properties}getOrder(){return this.order}getAxes(){return this.order}getProperty(t){return this.properties[t]}updateProperties(t){this.properties=t}allProperties(){const t=[];return this.order.forEach((e=>t.push(this.getProperty(e).slice()))),t}toString(){const t=[];return this.order.forEach((e=>t.push(e+": "+this.getProperty(e).toString()))),t.join("\n")}}e.DynamicProperties=n;class o extends n{constructor(t,e){const r={};for(const[e,n]of Object.entries(t))r[e]=[n];super(r,e),this.components=t}static createCstr(...t){const e=o.DEFAULT_ORDER,r={};for(let n=0,o=t.length,i=e.length;n<o&&n<i;n++)r[e[n]]=t[n];return new o(r)}static defaultCstr(){return o.createCstr.apply(null,o.DEFAULT_ORDER.map((function(t){return o.DEFAULT_VALUES[t]})))}static validOrder(t){const e=o.DEFAULT_ORDER.slice();return t.every((t=>{const r=e.indexOf(t);return-1!==r&&e.splice(r,1)}))}getComponents(){return this.components}getValue(t){return this.components[t]}getValues(){return this.order.map((t=>this.getValue(t)))}allProperties(){const t=super.allProperties();for(let e,r,n=0;e=t[n],r=this.order[n];n++){const t=this.getValue(r);-1===e.indexOf(t)&&e.unshift(t)}return t}toString(){return this.getValues().join(".")}equal(t){const e=t.getAxes();if(this.order.length!==e.length)return!1;for(let r,n=0;r=e[n];n++){const e=this.getValue(r);if(!e||t.getValue(r)!==e)return!1}return!0}}e.DynamicCstr=o,o.DEFAULT_ORDER=[r.LOCALE,r.MODALITY,r.DOMAIN,r.STYLE,r.TOPIC],o.BASE_LOCALE="base",o.DEFAULT_VALUE="default",o.DEFAULT_VALUES={[r.LOCALE]:"en",[r.DOMAIN]:o.DEFAULT_VALUE,[r.STYLE]:o.DEFAULT_VALUE,[r.TOPIC]:o.DEFAULT_VALUE,[r.MODALITY]:"speech"};e.DynamicCstrParser=class{constructor(t){this.order=t}parse(t){const e=t.split("."),r={};if(e.length>this.order.length)throw new Error("Invalid dynamic constraint: "+r);let n=0;for(let t,o=0;t=this.order[o],e.length;o++,n++){const n=e.shift();r[t]=n}return new o(r,this.order.slice(0,n))}};e.DefaultComparator=class{constructor(t,e=new n(t.getProperties(),t.getOrder())){this.reference=t,this.fallback=e,this.order=this.reference.getOrder()}getReference(){return this.reference}setReference(t,e){this.reference=t,this.fallback=e||new n(t.getProperties(),t.getOrder()),this.order=this.reference.getOrder()}match(t){const e=t.getAxes();return e.length===this.reference.getAxes().length&&e.every((e=>{const r=t.getValue(e);return r===this.reference.getValue(e)||-1!==this.fallback.getProperty(e).indexOf(r)}))}compare(t,e){let r=!1;for(let n,o=0;n=this.order[o];o++){const o=t.getValue(n),i=e.getValue(n);if(!r){const t=this.reference.getValue(n);if(t===o&&t!==i)return-1;if(t===i&&t!==o)return 1;if(t===o&&t===i)continue;t!==o&&t!==i&&(r=!0)}const s=this.fallback.getProperty(n),a=s.indexOf(o),l=s.indexOf(i);if(a<l)return-1;if(l<a)return 1}return 0}toString(){return this.reference.toString()+"\n"+this.fallback.toString()}}},2105:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.numbersToAlpha=e.Grammar=e.ATTRIBUTE=void 0;const n=r(5740),o=r(5897),i=r(2536),s=r(4356);e.ATTRIBUTE="grammar";class a{constructor(){this.currentFlags={},this.parameters_={},this.corrections_={},this.preprocessors_={},this.stateStack_=[]}static getInstance(){return a.instance=a.instance||new a,a.instance}static parseInput(t){const e={},r=t.split(":");for(let t=0,n=r.length;t<n;t++){const n=r[t].split("="),o=n[0].trim();n[1]?e[o]=n[1].trim():o.match(/^!/)?e[o.slice(1)]=!1:e[o]=!0}return e}static parseState(t){const e={},r=t.split(" ");for(let t=0,n=r.length;t<n;t++){const n=r[t].split(":"),o=n[0],i=n[1];e[o]=i||!0}return e}static translateString_(t){if(t.match(/:unit$/))return a.translateUnit_(t);const e=o.default.getInstance();let r=e.evaluator(t,e.dynamicCstr);return r=null===r?t:r,a.getInstance().getParameter("plural")&&(r=s.LOCALE.FUNCTIONS.plural(r)),r}static translateUnit_(t){t=a.prepareUnit_(t);const e=o.default.getInstance(),r=a.getInstance().getParameter("plural"),n=e.strict,i=`${e.locale}.${e.modality}.default`;let l,c;return e.strict=!0,r&&(l=e.defaultParser.parse(i+".plural"),c=e.evaluator(t,l)),c?(e.strict=n,c):(l=e.defaultParser.parse(i+".default"),c=e.evaluator(t,l),e.strict=n,c?(r&&(c=s.LOCALE.FUNCTIONS.plural(c)),c):a.cleanUnit_(t))}static prepareUnit_(t){const e=t.match(/:unit$/);return e?t.slice(0,e.index).replace(/\s+/g," ")+t.slice(e.index):t}static cleanUnit_(t){return t.match(/:unit$/)?t.replace(/:unit$/,""):t}clear(){this.parameters_={},this.stateStack_=[]}setParameter(t,e){const r=this.parameters_[t];return e?this.parameters_[t]=e:delete this.parameters_[t],r}getParameter(t){return this.parameters_[t]}setCorrection(t,e){this.corrections_[t]=e}setPreprocessor(t,e){this.preprocessors_[t]=e}getCorrection(t){return this.corrections_[t]}getState(){const t=[];for(const e in this.parameters_){const r=this.parameters_[e];t.push("string"==typeof r?e+":"+r:e)}return t.join(" ")}pushState(t){for(const e in t)t[e]=this.setParameter(e,t[e]);this.stateStack_.push(t)}popState(){const t=this.stateStack_.pop();for(const e in t)this.setParameter(e,t[e])}setAttribute(t){if(t&&t.nodeType===n.NodeType.ELEMENT_NODE){const r=this.getState();r&&t.setAttribute(e.ATTRIBUTE,r)}}preprocess(t){return this.runProcessors_(t,this.preprocessors_)}correct(t){return this.runProcessors_(t,this.corrections_)}apply(t,e){return this.currentFlags=e||{},t=this.currentFlags.adjust||this.currentFlags.preprocess?a.getInstance().preprocess(t):t,(this.parameters_.translate||this.currentFlags.translate)&&(t=a.translateString_(t)),t=this.currentFlags.adjust||this.currentFlags.correct?a.getInstance().correct(t):t,this.currentFlags={},t}runProcessors_(t,e){for(const r in this.parameters_){const n=e[r];if(!n)continue;const o=this.parameters_[r];t=!0===o?n(t):n(t,o)}return t}}function l(t,e){if(!e||!t)return t;const r=s.LOCALE.FUNCTIONS.fontRegexp(i.localFont(e));return t.replace(r,"")}function c(t){return t.match(/\d+/)?s.LOCALE.NUMBERS.numberToWords(parseInt(t,10)):t}e.Grammar=a,e.numbersToAlpha=c,a.getInstance().setCorrection("localFont",i.localFont),a.getInstance().setCorrection("localRole",i.localRole),a.getInstance().setCorrection("localEnclose",i.localEnclose),a.getInstance().setCorrection("ignoreFont",l),a.getInstance().setPreprocessor("annotation",(function(t,e){return t+":"+e})),a.getInstance().setPreprocessor("noTranslateText",(function(t){return t.match(new RegExp("^["+s.LOCALE.MESSAGES.regexp.TEXT+"]+$"))&&(a.getInstance().currentFlags.translate=!1),t})),a.getInstance().setCorrection("ignoreCaps",(function(t){let e=s.LOCALE.ALPHABETS.capPrefix[o.default.getInstance().domain];return void 0===e&&(e=s.LOCALE.ALPHABETS.capPrefix.default),l(t,e)})),a.getInstance().setPreprocessor("numbers2alpha",c)},2780:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.enumerate=e.lookupString=e.lookupCategory=e.lookupRule=e.addSiUnitRules=e.addUnitRules=e.addFunctionRules=e.addSymbolRules=e.defineRule=e.defineRules=e.setSiPrefixes=void 0;const n=r(2057),o=r(5897),i=r(7491),s=r(4658),a=r(1676);let l=a.DynamicCstr.DEFAULT_VALUES[a.Axis.LOCALE],c=a.DynamicCstr.DEFAULT_VALUES[a.Axis.MODALITY],u={};e.setSiPrefixes=function(t){u=t};const p={};function h(t,e,r,n){const o=_(e);S(o,r),o.defineRulesFromMappings(t,l,c,e,n)}function f(t){if(v(t))return;const e=t.names,r=t.mappings,n=t.category;for(let t,o=0;t=e[o];o++)h(t,t,n,r)}function d(t){for(const e of Object.keys(u)){const r=Object.assign({},t);r.mappings={};const n=u[e];r.key=e+r.key,r.names=r.names.map((function(t){return e+t}));for(const e of Object.keys(t.mappings)){r.mappings[e]={};for(const o of Object.keys(t.mappings[e]))r.mappings[e][o]=i.locales[l]().FUNCTIONS.si(n,t.mappings[e][o])}b(r)}b(t)}function m(t,e){const r=p[t];return r?r.lookupRule(null,e):null}function y(t,e){const r=m(t,e);return r?r.action:null}function g(t,e){return e=e||{},t.length?(e[t[0]]=g(t.slice(1),e[t[0]]),e):e}function b(t){const e=t.names;e&&(t.names=e.map((function(t){return t+":unit"}))),f(t)}function v(t){return!(!t.locale&&!t.modality)&&(l=t.locale||l,c=t.modality||c,!0)}function _(t){let e=p[t];return e?(n.Debugger.getInstance().output("Store exists! "+t),e):(e=new s.MathSimpleStore,p[t]=e,e)}function S(t,e){e&&(t.category=e)}e.defineRules=h,e.defineRule=function(t,e,r,n,o,i){const s=_(o);S(s,n),s.defineRuleFromStrings(t,l,c,e,r,o,i)},e.addSymbolRules=function(t){if(v(t))return;const e=s.MathSimpleStore.parseUnicode(t.key);h(t.key,e,t.category,t.mappings)},e.addFunctionRules=f,e.addUnitRules=function(t){v(t)||(t.si?d(t):b(t))},e.addSiUnitRules=d,e.lookupRule=m,e.lookupCategory=function(t){const e=p[t];return e?e.category:""},e.lookupString=y,o.default.getInstance().evaluator=y,e.enumerate=function(t={}){for(const e of Object.values(p))for(const[,r]of e.rules.entries())for(const{cstr:e}of r)t=g(e.getValues(),t);return t}},4658:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.MathSimpleStore=void 0;const n=r(5897),o=r(1676);class i{constructor(){this.category="",this.rules=new Map}static parseUnicode(t){const e=parseInt(t,16);return String.fromCodePoint(e)}static testDynamicConstraints_(t,e){return n.default.getInstance().strict?e.cstr.equal(t):n.default.getInstance().comparator.match(e.cstr)}defineRulesFromMappings(t,e,r,n,o){for(const i in o)for(const s in o[i]){const a=o[i][s];this.defineRuleFromStrings(t,e,r,i,s,n,a)}}getRules(t){let e=this.rules.get(t);return e||(e=[],this.rules.set(t,e)),e}defineRuleFromStrings(t,e,r,o,i,s,a){let l=this.getRules(e);const c=n.default.getInstance().parsers[o]||n.default.getInstance().defaultParser,u=n.default.getInstance().comparators[o],p=`${e}.${r}.${o}.${i}`,h=c.parse(p),f=u?u():n.default.getInstance().comparator,d=f.getReference();f.setReference(h);const m={cstr:h,action:a};l=l.filter((t=>!h.equal(t.cstr))),l.push(m),this.rules.set(e,l),f.setReference(d)}lookupRule(t,e){let r=this.getRules(e.getValue(o.Axis.LOCALE));return r=r.filter((function(t){return i.testDynamicConstraints_(e,t)})),1===r.length?r[0]:r.length?r.sort(((t,e)=>n.default.getInstance().comparator.compare(t.cstr,e.cstr)))[0]:null}}e.MathSimpleStore=i},9935:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.MathStore=void 0;const n=r(707),o=r(4356),i=r(7630),s=r(4504),a=r(4650);class l extends s.BaseRuleStore{constructor(){super(),this.annotators=[],this.parseMethods.Alias=this.defineAlias,this.parseMethods.SpecializedRule=this.defineSpecializedRule,this.parseMethods.Specialized=this.defineSpecialized}initialize(){this.initialized||(this.annotations(),this.initialized=!0)}annotations(){for(let t,e=0;t=this.annotators[e];e++)(0,i.activate)(this.domain,t)}defineAlias(t,e,...r){const n=this.parsePrecondition(e,r);if(!n)return void console.error(`Precondition Error: ${e} ${r}`);const o=this.preconditions.get(t);o?o.addFullCondition(n):console.error(`Alias Error: No precondition by the name of ${t}`)}defineRulesAlias(t,e,...r){const n=this.findAllRules((function(e){return e.name===t}));if(0===n.length)throw new a.OutputError("Rule with name "+t+" does not exist.");const o=[];n.forEach((t=>{(t=>{const e=t.dynamicCstr.toString(),r=t.action.toString();for(let t,n=0;t=o[n];n++)if(t.action===r&&t.cstr===e)return!1;return o.push({cstr:e,action:r}),!0})(t)&&this.addAlias_(t,e,r)}))}defineSpecializedRule(t,e,r,n){const o=this.parseCstr(e),i=this.findRule((e=>e.name===t&&o.equal(e.dynamicCstr))),s=this.parseCstr(r);if(!i&&n)throw new a.OutputError("Rule named "+t+" with style "+e+" does not exist.");const l=n?a.Action.fromString(n):i.action,c=new a.SpeechRule(i.name,s,i.precondition,l);this.addRule(c)}defineSpecialized(t,e,r){const n=this.parseCstr(r);if(!n)return void console.error(`Dynamic Constraint Error: ${r}`);const o=this.preconditions.get(t);o?o.addConstraint(n):console.error(`Alias Error: No precondition by the name of ${t}`)}evaluateString(t){const e=[];if(t.match(/^\s+$/))return e;let r=this.matchNumber_(t);if(r&&r.length===t.length)return e.push(this.evaluateCharacter(r.number)),e;const i=n.removeEmpty(t.replace(/\s/g," ").split(" "));for(let t,n=0;t=i[n];n++)if(1===t.length)e.push(this.evaluateCharacter(t));else if(t.match(new RegExp("^["+o.LOCALE.MESSAGES.regexp.TEXT+"]+$")))e.push(this.evaluateCharacter(t));else{let n=t;for(;n;){r=this.matchNumber_(n);const t=n.match(new RegExp("^["+o.LOCALE.MESSAGES.regexp.TEXT+"]+"));if(r)e.push(this.evaluateCharacter(r.number)),n=n.substring(r.length);else if(t)e.push(this.evaluateCharacter(t[0])),n=n.substring(t[0].length);else{const t=Array.from(n),r=t[0];e.push(this.evaluateCharacter(r)),n=t.slice(1).join("")}}}return e}parse(t){super.parse(t),this.annotators=t.annotators||[]}addAlias_(t,e,r){const n=this.parsePrecondition(e,r),o=new a.SpeechRule(t.name,t.dynamicCstr,n,t.action);o.name=t.name,this.addRule(o)}matchNumber_(t){const e=t.match(new RegExp("^"+o.LOCALE.MESSAGES.regexp.NUMBER)),r=t.match(new RegExp("^"+l.regexp.NUMBER));if(!e&&!r)return null;const n=r&&r[0]===t;if(e&&e[0]===t||!n)return e?{number:e[0],length:e[0].length}:null;return{number:r[0].replace(new RegExp(l.regexp.DIGIT_GROUP,"g"),"X").replace(new RegExp(l.regexp.DECIMAL_MARK,"g"),o.LOCALE.MESSAGES.regexp.DECIMAL_MARK).replace(/X/g,o.LOCALE.MESSAGES.regexp.DIGIT_GROUP.replace(/\\/g,"")),length:r[0].length}}}e.MathStore=l,l.regexp={NUMBER:"((\\d{1,3})(?=(,| ))((,| )\\d{3})*(\\.\\d+)?)|^\\d*\\.\\d+|^\\d+",DECIMAL_MARK:"\\.",DIGIT_GROUP:","}},4650:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.OutputError=e.Precondition=e.Action=e.Component=e.ActionType=e.SpeechRule=void 0;const n=r(5897),o=r(2105);var i;function s(t){switch(t){case"[n]":return i.NODE;case"[m]":return i.MULTI;case"[t]":return i.TEXT;case"[p]":return i.PERSONALITY;default:throw"Parse error: "+t}}e.SpeechRule=class{constructor(t,e,r,n){this.name=t,this.dynamicCstr=e,this.precondition=r,this.action=n,this.context=null}toString(){return this.name+" | "+this.dynamicCstr.toString()+" | "+this.precondition.toString()+" ==> "+this.action.toString()}},function(t){t.NODE="NODE",t.MULTI="MULTI",t.TEXT="TEXT",t.PERSONALITY="PERSONALITY"}(i=e.ActionType||(e.ActionType={}));class a{constructor({type:t,content:e,attributes:r,grammar:n}){this.type=t,this.content=e,this.attributes=r,this.grammar=n}static grammarFromString(t){return o.Grammar.parseInput(t)}static fromString(t){const e={type:s(t.substring(0,3))};let r=t.slice(3).trim();if(!r)throw new u("Missing content.");switch(e.type){case i.TEXT:if('"'===r[0]){const t=p(r,"\\(")[0].trim();if('"'!==t.slice(-1))throw new u("Invalid string syntax.");e.content=t,r=r.slice(t.length).trim(),-1===r.indexOf("(")&&(r="");break}case i.NODE:case i.MULTI:{const t=r.indexOf(" (");if(-1===t){e.content=r.trim(),r="";break}e.content=r.substring(0,t).trim(),r=r.slice(t).trim()}}if(r){const t=a.attributesFromString(r);t.grammar&&(e.grammar=t.grammar,delete t.grammar),Object.keys(t).length&&(e.attributes=t)}return new a(e)}static attributesFromString(t){if("("!==t[0]||")"!==t.slice(-1))throw new u("Invalid attribute expression: "+t);const e={},r=p(t.slice(1,-1),",");for(let t=0,n=r.length;t<n;t++){const n=r[t],i=n.indexOf(":");if(-1===i)e[n.trim()]="true";else{const t=n.substring(0,i).trim(),r=n.slice(i+1).trim();e[t]=t===o.ATTRIBUTE?a.grammarFromString(r):r}}return e}toString(){let t="";t+=function(t){switch(t){case i.NODE:return"[n]";case i.MULTI:return"[m]";case i.TEXT:return"[t]";case i.PERSONALITY:return"[p]";default:throw"Unknown type error: "+t}}(this.type),t+=this.content?" "+this.content:"";const e=this.attributesToString();return t+=e?" "+e:"",t}grammarToString(){return this.getGrammar().join(":")}getGrammar(){const t=[];for(const e in this.grammar)!0===this.grammar[e]?t.push(e):!1===this.grammar[e]?t.push("!"+e):t.push(e+"="+this.grammar[e]);return t}attributesToString(){const t=this.getAttributes(),e=this.grammarToString();return e&&t.push("grammar:"+e),t.length>0?"("+t.join(", ")+")":""}getAttributes(){const t=[];for(const e in this.attributes){const r=this.attributes[e];"true"===r?t.push(e):t.push(e+":"+r)}return t}}e.Component=a;class l{constructor(t){this.components=t}static fromString(t){const e=p(t,";").filter((function(t){return t.match(/\S/)})).map((function(t){return t.trim()})),r=[];for(let t=0,n=e.length;t<n;t++){const n=a.fromString(e[t]);n&&r.push(n)}return new l(r)}toString(){return this.components.map((function(t){return t.toString()})).join("; ")}}e.Action=l;class c{constructor(t,...e){this.query=t,this.constraints=e;const[r,n]=this.presetPriority();this.priority=r?n:this.calculatePriority()}static constraintValue(t,e){for(let r,n=0;r=e[n];n++)if(t.match(r))return++n;return 0}toString(){const t=this.constraints.join(", ");return`${this.query}, ${t} (${this.priority}, ${this.rank})`}calculatePriority(){const t=c.constraintValue(this.query,c.queryPriorities);if(!t)return 0;const e=this.query.match(/^self::.+\[(.+)\]/)[1];return 100*t+10*c.constraintValue(e,c.attributePriorities)}presetPriority(){if(!this.constraints.length)return[!1,0];const t=this.constraints[this.constraints.length-1].match(/^priority=(.*$)/);if(!t)return[!1,0];this.constraints.pop();const e=parseFloat(t[1]);return[!0,isNaN(e)?0:e]}}e.Precondition=c,c.queryPriorities=[/^self::\*\[.+\]$/,/^self::[\w-]+\[.+\]$/],c.attributePriorities=[/^@[\w-]+$/,/^@[\w-]+!=".+"$/,/^not\(contains\(@[\w-]+,\s*".+"\)\)$/,/^contains\(@[\w-]+,".+"\)$/,/^@[\w-]+=".+"$/];class u extends n.SREError{constructor(t){super(t),this.name="RuleError"}}function p(t,e){const r=[];let n="";for(;""!==t;){const o=t.search(e);if(-1===o){if((t.match(/"/g)||[]).length%2!=0)throw new u("Invalid string in expression: "+t);r.push(n+t),n="",t=""}else if((t.substring(0,o).match(/"/g)||[]).length%2==0)r.push(n+t.substring(0,o)),n="",t=t.substring(o+1);else{const e=t.substring(o).search('"');if(-1===e)throw new u("Invalid string in expression: "+t);n+=t.substring(0,o+e+1),t=t.substring(o+e+1)}}return n&&r.push(n),r}e.OutputError=u},4106:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SpeechRuleContext=void 0;const n=r(5274),o=r(5662);e.SpeechRuleContext=class{constructor(){this.customQueries=new o.CustomQueries,this.customStrings=new o.CustomStrings,this.contextFunctions=new o.ContextFunctions,this.customGenerators=new o.CustomGenerators}applyCustomQuery(t,e){const r=this.customQueries.lookup(e);return r?r(t):null}applySelector(t,e){return this.applyCustomQuery(t,e)||n.evalXPath(e,t)}applyQuery(t,e){const r=this.applySelector(t,e);return r.length>0?r[0]:null}applyConstraint(t,e){return!!this.applyQuery(t,e)||n.evaluateBoolean(e,t)}constructString(t,e){if(!e)return"";if('"'===e.charAt(0))return e.slice(1,-1);const r=this.customStrings.lookup(e);return r?r(t):n.evaluateString(e,t)}parse(t){const e=Array.isArray(t)?t:Object.entries(t);for(let t,r=0;t=e[r];r++){switch(t[0].slice(0,3)){case"CQF":this.customQueries.add(t[0],t[1]);break;case"CSF":this.customStrings.add(t[0],t[1]);break;case"CTF":this.contextFunctions.add(t[0],t[1]);break;case"CGF":this.customGenerators.add(t[0],t[1]);break;default:console.error("FunctionError: Invalid function name "+t[0])}}}}},2362:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.storeFactory=e.SpeechRuleEngine=void 0;const n=r(7052),o=r(2057),i=r(5740),s=r(5897),a=r(4440),l=r(5274),c=r(7283),u=r(7599),p=r(2469),h=r(1676),f=r(2105),d=r(9935),m=r(4650),y=r(4508);class g{constructor(){this.trie=null,this.evaluators_={},this.trie=new y.Trie}static getInstance(){return g.instance=g.instance||new g,g.instance}static debugSpeechRule(t,e){const r=t.precondition,n=t.context.applyQuery(e,r.query);o.Debugger.getInstance().output(r.query,n?n.toString():n),r.constraints.forEach((r=>o.Debugger.getInstance().output(r,t.context.applyConstraint(e,r))))}static debugNamedSpeechRule(t,e){const r=g.getInstance().trie.collectRules().filter((e=>e.name==t));for(let n,i=0;n=r[i];i++)o.Debugger.getInstance().output("Rule",t,"DynamicCstr:",n.dynamicCstr.toString(),"number",i),g.debugSpeechRule(n,e)}evaluateNode(t){(0,l.updateEvaluator)(t);const e=(new Date).getTime();let r=[];try{r=this.evaluateNode_(t)}catch(t){console.error("Something went wrong computing speech."),o.Debugger.getInstance().output(t)}const n=(new Date).getTime();return o.Debugger.getInstance().output("Time:",n-e),r}toString(){return this.trie.collectRules().map((t=>t.toString())).join("\n")}runInSetting(t,e){const r=s.default.getInstance(),n={};for(const e in t)n[e]=r[e],r[e]=t[e];r.setDynamicCstr();const o=e();for(const t in n)r[t]=n[t];return r.setDynamicCstr(),o}addStore(t){const e=v(t);"abstract"!==e.kind&&e.getSpeechRules().forEach((t=>this.trie.addRule(t))),this.addEvaluator(e)}processGrammar(t,e,r){const n={};for(const o in r){const i=r[o];n[o]="string"==typeof i?t.constructString(e,i):i}f.Grammar.getInstance().pushState(n)}addEvaluator(t){const e=t.evaluateDefault.bind(t),r=this.evaluators_[t.locale];if(r)return void(r[t.modality]=e);const n={};n[t.modality]=e,this.evaluators_[t.locale]=n}getEvaluator(t,e){const r=this.evaluators_[t]||this.evaluators_[h.DynamicCstr.DEFAULT_VALUES[h.Axis.LOCALE]];return r[e]||r[h.DynamicCstr.DEFAULT_VALUES[h.Axis.MODALITY]]}enumerate(t){return this.trie.enumerate(t)}evaluateNode_(t){return t?(this.updateConstraint_(),this.evaluateTree_(t)):[]}evaluateTree_(t){const e=s.default.getInstance();let r;o.Debugger.getInstance().output(e.mode!==a.Mode.HTTP?t.toString():t),f.Grammar.getInstance().setAttribute(t);const i=this.lookupRule(t,e.dynamicCstr);if(!i)return e.strict?[]:(r=this.getEvaluator(e.locale,e.modality)(t),t.attributes&&this.addPersonality_(r,{},!1,t),r);o.Debugger.getInstance().generateOutput((()=>["Apply Rule:",i.name,i.dynamicCstr.toString(),(e.mode,a.Mode.HTTP,t).toString()]));const c=i.context,u=i.action.components;r=[];for(let e,o=0;e=u[o];o++){let o=[];const i=e.content||"",a=e.attributes||{};let u=!1;e.grammar&&this.processGrammar(c,t,e.grammar);let p=null;if(a.engine){p=s.default.getInstance().dynamicCstr.getComponents();const t=f.Grammar.parseInput(a.engine);s.default.getInstance().setDynamicCstr(t)}switch(e.type){case m.ActionType.NODE:{const e=c.applyQuery(t,i);e&&(o=this.evaluateTree_(e))}break;case m.ActionType.MULTI:{u=!0;const e=c.applySelector(t,i);e.length>0&&(o=this.evaluateNodeList_(c,e,a.sepFunc,c.constructString(t,a.separator),a.ctxtFunc,c.constructString(t,a.context)))}break;case m.ActionType.TEXT:{const e=a.span,r={};if(e){const n=(0,l.evalXPath)(e,t);n.length&&(r.extid=n[0].getAttribute("extid"))}const s=c.constructString(t,i);(s||""===s)&&(o=Array.isArray(s)?s.map((function(t){return n.AuditoryDescription.create({text:t.speech,attributes:t.attributes},{adjust:!0})})):[n.AuditoryDescription.create({text:s,attributes:r},{adjust:!0})])}break;case m.ActionType.PERSONALITY:default:o=[n.AuditoryDescription.create({text:i})]}o[0]&&!u&&(a.context&&(o[0].context=c.constructString(t,a.context)+(o[0].context||"")),a.annotation&&(o[0].annotation=a.annotation)),this.addLayout(o,a,u),e.grammar&&f.Grammar.getInstance().popState(),r=r.concat(this.addPersonality_(o,a,u,t)),p&&s.default.getInstance().setDynamicCstr(p)}return r}evaluateNodeList_(t,e,r,o,i,s){if(!e.length)return[];const a=o||"",l=s||"",c=t.contextFunctions.lookup(i),u=c?c(e,l):function(){return l},p=t.contextFunctions.lookup(r),h=p?p(e,a):function(){return[n.AuditoryDescription.create({text:a},{translate:!0})]};let f=[];for(let t,r=0;t=e[r];r++){const n=this.evaluateTree_(t);if(n.length>0&&(n[0].context=u()+(n[0].context||""),f=f.concat(n),r<e.length-1)){const t=h();f=f.concat(t)}}return f}addLayout(t,e,r){const o=e.layout;o&&(o.match(/^begin/)?t.unshift(new n.AuditoryDescription({text:"",layout:o})):o.match(/^end/)?t.push(new n.AuditoryDescription({text:"",layout:o})):(t.unshift(new n.AuditoryDescription({text:"",layout:`begin${o}`})),t.push(new n.AuditoryDescription({text:"",layout:`end${o}`}))))}addPersonality_(t,e,r,o){const i={};let s=null;for(const t of a.personalityPropList){const r=e[t];if(void 0===r)continue;const n=parseFloat(r),o=isNaN(n)?'"'===r.charAt(0)?r.slice(1,-1):r:n;t===a.personalityProps.PAUSE?s=o:i[t]=o}for(let e,r=0;e=t[r];r++)this.addRelativePersonality_(e,i),this.addExternalAttributes_(e,o);if(r&&t.length&&delete t[t.length-1].personality[a.personalityProps.JOIN],s&&t.length){const e=t[t.length-1];e.text||Object.keys(e.personality).length?t.push(n.AuditoryDescription.create({text:"",personality:{pause:s}})):e.personality[a.personalityProps.PAUSE]=s}return t}addExternalAttributes_(t,e){if(e.hasAttributes()){const r=e.attributes;for(let e=r.length-1;e>=0;e--){const n=r[e].name;!t.attributes[n]&&n.match(/^ext/)&&(t.attributes[n]=r[e].value)}}}addRelativePersonality_(t,e){if(!t.personality)return t.personality=e,t;const r=t.personality;for(const t in e)r[t]&&"number"==typeof r[t]&&"number"==typeof e[t]?r[t]=r[t]+e[t]:r[t]||(r[t]=e[t]);return t}updateConstraint_(){const t=s.default.getInstance().dynamicCstr,e=s.default.getInstance().strict,r=this.trie,n={};let o=t.getValue(h.Axis.LOCALE),i=t.getValue(h.Axis.MODALITY),a=t.getValue(h.Axis.DOMAIN);r.hasSubtrie([o,i,a])||(a=h.DynamicCstr.DEFAULT_VALUES[h.Axis.DOMAIN],r.hasSubtrie([o,i,a])||(i=h.DynamicCstr.DEFAULT_VALUES[h.Axis.MODALITY],r.hasSubtrie([o,i,a])||(o=h.DynamicCstr.DEFAULT_VALUES[h.Axis.LOCALE]))),n[h.Axis.LOCALE]=[o],n[h.Axis.MODALITY]=["summary"!==i?i:h.DynamicCstr.DEFAULT_VALUES[h.Axis.MODALITY]],n[h.Axis.DOMAIN]=["speech"!==i?h.DynamicCstr.DEFAULT_VALUES[h.Axis.DOMAIN]:a];const l=t.getOrder();for(let r,o=0;r=l[o];o++)if(!n[r]){const o=t.getValue(r),i=this.makeSet_(o,t.preference),s=h.DynamicCstr.DEFAULT_VALUES[r];e||o===s||i.push(s),n[r]=i}t.updateProperties(n)}makeSet_(t,e){return e&&Object.keys(e).length?t.split(":"):[t]}lookupRule(t,e){if(!t||t.nodeType!==i.NodeType.ELEMENT_NODE&&t.nodeType!==i.NodeType.TEXT_NODE)return null;const r=this.lookupRules(t,e);return r.length>0?this.pickMostConstraint_(e,r):null}lookupRules(t,e){return this.trie.lookupRules(t,e.allProperties())}pickMostConstraint_(t,e){const r=s.default.getInstance().comparator;return e.sort((function(t,e){return r.compare(t.dynamicCstr,e.dynamicCstr)||e.precondition.priority-t.precondition.priority||e.precondition.constraints.length-t.precondition.constraints.length||e.precondition.rank-t.precondition.rank})),o.Debugger.getInstance().generateOutput((()=>e.map((t=>t.name+"("+t.dynamicCstr.toString()+")"))).bind(this)),e[0]}}e.SpeechRuleEngine=g;const b=new Map;function v(t){const e=`${t.locale}.${t.modality}.${t.domain}`;if("actions"===t.kind){const r=b.get(e);return r.parse(t),r}u.init(),t&&!t.functions&&(t.functions=c.getStore(t.locale,t.modality,t.domain));const r="braille"===t.modality?new p.BrailleStore:new d.MathStore;return 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n=t.comp.shift(),o=null,i=[];for(;t.comp.length;)if(i=[],n.length)o&&e.push(o),r.push(n),o=t.rel.shift(),n=t.comp.shift();else{for(o&&i.push(o);!n.length&&t.comp.length;)n=t.comp.shift(),i.push(t.rel.shift());o=p(i,n,r)}i.length||n.length?(e.push(o),r.push(n)):(i.push(o),p(i,n,r));return{rel:e,comp:r}}(e):e,t=e.comp[0];for(let r,n,o=1;r=e.comp[o],n=e.rel[o-1];o++)t.push(n),t=t.concat(r);return e=u.partitionNodes(t,(function(t){return t.textContent===i.invisibleTimes()&&("operator"===t.type||"infixop"===t.type)})),e.rel.length?h(e.comp.shift(),e.rel,e.comp):t}))),s.add(new a.SemanticTreeHeuristic("simple2prefix",(t=>(t.textContent.length>1&&!t.textContent[0].match(/[A-Z]/)&&(t.role="prefix function"),t)),(t=>"braille"===o.default.getInstance().modality&&"identifier"===t.type))),s.add(new a.SemanticTreeHeuristic("detect_cycle",(t=>{t.type="matrix",t.role="cycle";const e=t.childNodes[0];return e.type="row",e.role="cycle",e.textContent="",e.contentNodes=[],t}),(t=>"fenced"===t.type&&"infixop"===t.childNodes[0].type&&"implicit"===t.childNodes[0].role&&t.childNodes[0].childNodes.every((function(t){return"number"===t.type}))&&t.childNodes[0].contentNodes.every((function(t){return"space"===t.role})))))},7228:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticMathml=void 0;const n=r(5740),o=r(5250),i=r(5609),s=r(3308),a=r(4795);class l extends o.SemanticAbstractParser{constructor(){super("MathML"),this.parseMap_={SEMANTICS:this.semantics_.bind(this),MATH:this.rows_.bind(this),MROW:this.rows_.bind(this),MPADDED:this.rows_.bind(this),MSTYLE:this.rows_.bind(this),MFRAC:this.fraction_.bind(this),MSUB:this.limits_.bind(this),MSUP:this.limits_.bind(this),MSUBSUP:this.limits_.bind(this),MOVER:this.limits_.bind(this),MUNDER:this.limits_.bind(this),MUNDEROVER:this.limits_.bind(this),MROOT:this.root_.bind(this),MSQRT:this.sqrt_.bind(this),MTABLE:this.table_.bind(this),MLABELEDTR:this.tableLabeledRow_.bind(this),MTR:this.tableRow_.bind(this),MTD:this.tableCell_.bind(this),MS:this.text_.bind(this),MTEXT:this.text_.bind(this),MSPACE:this.space_.bind(this),"ANNOTATION-XML":this.text_.bind(this),MI:this.identifier_.bind(this),MN:this.number_.bind(this),MO:this.operator_.bind(this),MFENCED:this.fenced_.bind(this),MENCLOSE:this.enclosed_.bind(this),MMULTISCRIPTS:this.multiscripts_.bind(this),ANNOTATION:this.empty_.bind(this),NONE:this.empty_.bind(this),MACTION:this.action_.bind(this)};const t={type:"identifier",role:"numbersetletter",font:"double-struck"};["C","H","N","P","Q","R","Z","\u2102","\u210d","\u2115","\u2119","\u211a","\u211d","\u2124"].forEach((e=>this.getFactory().defaultMap.add(e,t)).bind(this))}static getAttribute_(t,e,r){if(!t.hasAttribute(e))return r;const n=t.getAttribute(e);return n.match(/^\s*$/)?null:n}parse(t){s.default.getInstance().setNodeFactory(this.getFactory());const e=n.toArray(t.childNodes),r=n.tagName(t),o=this.parseMap_[r],i=(o||this.dummy_.bind(this))(t,e);return a.addAttributes(i,t),-1!==["MATH","MROW","MPADDED","MSTYLE","SEMANTICS"].indexOf(r)||(i.mathml.unshift(t),i.mathmlTree=t),i}semantics_(t,e){return e.length?this.parse(e[0]):this.getFactory().makeEmptyNode()}rows_(t,e){const r=t.getAttribute("semantics");if(r&&r.match("bspr_"))return s.default.proof(t,r,this.parseList.bind(this));let n;return 1===(e=a.purgeNodes(e)).length?(n=this.parse(e[0]),"empty"!==n.type||n.mathmlTree||(n.mathmlTree=t)):n=s.default.getInstance().row(this.parseList(e)),n.mathml.unshift(t),n}fraction_(t,e){if(!e.length)return this.getFactory().makeEmptyNode();const r=this.parse(e[0]),n=e[1]?this.parse(e[1]):this.getFactory().makeEmptyNode();return s.default.getInstance().fractionLikeNode(r,n,t.getAttribute("linethickness"),"true"===t.getAttribute("bevelled"))}limits_(t,e){return s.default.getInstance().limitNode(n.tagName(t),this.parseList(e))}root_(t,e){return e[1]?this.getFactory().makeBranchNode("root",[this.parse(e[1]),this.parse(e[0])],[]):this.sqrt_(t,e)}sqrt_(t,e){const r=this.parseList(a.purgeNodes(e));return this.getFactory().makeBranchNode("sqrt",[s.default.getInstance().row(r)],[])}table_(t,e){const r=t.getAttribute("semantics");if(r&&r.match("bspr_"))return s.default.proof(t,r,this.parseList.bind(this));const n=this.getFactory().makeBranchNode("table",this.parseList(e),[]);return n.mathmlTree=t,s.default.tableToMultiline(n),n}tableRow_(t,e){const r=this.getFactory().makeBranchNode("row",this.parseList(e),[]);return r.role="table",r}tableLabeledRow_(t,e){if(!e.length)return this.tableRow_(t,e);const r=this.parse(e[0]);r.role="label";const n=this.getFactory().makeBranchNode("row",this.parseList(e.slice(1)),[r]);return n.role="table",n}tableCell_(t,e){const r=this.parseList(a.purgeNodes(e));let n;n=r.length?1===r.length&&i.isType(r[0],"empty")?r:[s.default.getInstance().row(r)]:[];const o=this.getFactory().makeBranchNode("cell",n,[]);return o.role="table",o}space_(t,e){const r=t.getAttribute("width"),o=r&&r.match(/[a-z]*$/);if(!o)return this.empty_(t,e);const i=o[0],a=parseFloat(r.slice(0,o.index)),l={cm:.4,pc:.5,em:.5,ex:1,in:.15,pt:5,mm:5}[i];if(!l||isNaN(a)||a<l)return this.empty_(t,e);const c=this.getFactory().makeUnprocessed(t);return s.default.getInstance().text(c,n.tagName(t))}text_(t,e){const r=this.leaf_(t,e);return t.textContent?(r.updateContent(t.textContent,!0),s.default.getInstance().text(r,n.tagName(t))):r}identifier_(t,e){const r=this.leaf_(t,e);return s.default.getInstance().identifierNode(r,s.default.getInstance().font(t.getAttribute("mathvariant")),t.getAttribute("class"))}number_(t,e){const r=this.leaf_(t,e);return s.default.number(r),r}operator_(t,e){const r=this.leaf_(t,e);return s.default.getInstance().operatorNode(r),r}fenced_(t,e){const r=this.parseList(a.purgeNodes(e)),n=l.getAttribute_(t,"separators",","),o=l.getAttribute_(t,"open","("),i=l.getAttribute_(t,"close",")"),c=s.default.getInstance().mfenced(o,i,n,r);return s.default.getInstance().tablesInRow([c])[0]}enclosed_(t,e){const r=this.parseList(a.purgeNodes(e)),n=this.getFactory().makeBranchNode("enclose",[s.default.getInstance().row(r)],[]);return n.role=t.getAttribute("notation")||"unknown",n}multiscripts_(t,e){if(!e.length)return this.getFactory().makeEmptyNode();const r=this.parse(e.shift());if(!e.length)return r;const o=[],i=[],l=[],c=[];let u=!1,p=0;for(let t,r=0;t=e[r];r++)"MPRESCRIPTS"!==n.tagName(t)?(u?1&p?o.push(t):i.push(t):1&p?l.push(t):c.push(t),p++):(u=!0,p=0);return a.purgeNodes(o).length||a.purgeNodes(i).length?s.default.getInstance().tensor(r,this.parseList(i),this.parseList(o),this.parseList(c),this.parseList(l)):s.default.getInstance().pseudoTensor(r,this.parseList(c),this.parseList(l))}empty_(t,e){return this.getFactory().makeEmptyNode()}action_(t,e){return e.length>1?this.parse(e[1]):this.getFactory().makeUnprocessed(t)}dummy_(t,e){const r=this.getFactory().makeUnprocessed(t);return r.role=t.tagName,r.textContent=t.textContent,r}leaf_(t,e){if(1===e.length&&e[0].nodeType!==n.NodeType.TEXT_NODE){const r=this.getFactory().makeUnprocessed(t);return r.role=e[0].tagName,a.addAttributes(r,e[0]),r}return this.getFactory().makeLeafNode(t.textContent,s.default.getInstance().font(t.getAttribute("mathvariant")))}}e.SemanticMathml=l},5952:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticNode=void 0;const n=r(5740),o=r(3588),i=r(4795);class s{constructor(t){this.id=t,this.mathml=[],this.parent=null,this.type="unknown",this.role="unknown",this.font="unknown",this.embellished=null,this.fencePointer="",this.childNodes=[],this.textContent="",this.mathmlTree=null,this.contentNodes=[],this.annotation={},this.attributes={},this.nobreaking=!1}static fromXml(t){const e=parseInt(t.getAttribute("id"),10),r=new s(e);return r.type=t.tagName,s.setAttribute(r,t,"role"),s.setAttribute(r,t,"font"),s.setAttribute(r,t,"embellished"),s.setAttribute(r,t,"fencepointer","fencePointer"),t.getAttribute("annotation")&&r.parseAnnotation(t.getAttribute("annotation")),i.addAttributes(r,t),s.processChildren(r,t),r}static setAttribute(t,e,r,n){n=n||r;const o=e.getAttribute(r);o&&(t[n]=o)}static processChildren(t,e){for(const r of n.toArray(e.childNodes)){if(r.nodeType===n.NodeType.TEXT_NODE){t.textContent=r.textContent;continue}const e=n.toArray(r.childNodes).map(s.fromXml);e.forEach((e=>e.parent=t)),"CONTENT"===n.tagName(r)?t.contentNodes=e:t.childNodes=e}}querySelectorAll(t){let e=[];for(let r,n=0;r=this.childNodes[n];n++)e=e.concat(r.querySelectorAll(t));for(let r,n=0;r=this.contentNodes[n];n++)e=e.concat(r.querySelectorAll(t));return t(this)&&e.unshift(this),e}xml(t,e){const r=function(r,n){const o=n.map((function(r){return r.xml(t,e)})),i=t.createElementNS("",r);for(let t,e=0;t=o[e];e++)i.appendChild(t);return i},n=t.createElementNS("",this.type);return e||this.xmlAttributes(n),n.textContent=this.textContent,this.contentNodes.length>0&&n.appendChild(r("content",this.contentNodes)),this.childNodes.length>0&&n.appendChild(r("children",this.childNodes)),n}toString(t=!1){const e=n.parseInput("<snode/>");return n.serializeXml(this.xml(e,t))}allAttributes(){const t=[];return t.push(["role",this.role]),"unknown"!==this.font&&t.push(["font",this.font]),Object.keys(this.annotation).length&&t.push(["annotation",this.xmlAnnotation()]),this.embellished&&t.push(["embellished",this.embellished]),this.fencePointer&&t.push(["fencepointer",this.fencePointer]),t.push(["id",this.id.toString()]),t}xmlAnnotation(){const t=[];for(const e in this.annotation)this.annotation[e].forEach((function(r){t.push(e+":"+r)}));return t.join(";")}toJson(){const t={};t.type=this.type;const e=this.allAttributes();for(let r,n=0;r=e[n];n++)t[r[0]]=r[1].toString();return this.textContent&&(t.$t=this.textContent),this.childNodes.length&&(t.children=this.childNodes.map((function(t){return t.toJson()}))),this.contentNodes.length&&(t.content=this.contentNodes.map((function(t){return t.toJson()}))),t}updateContent(t,e){const r=e?t.replace(/^[ \f\n\r\t\v\u200b]*/,"").replace(/[ \f\n\r\t\v\u200b]*$/,""):t.trim();if(t=t&&!r?t:r,this.textContent===t)return;const n=(0,o.lookupMeaning)(t);this.textContent=t,this.role=n.role,this.type=n.type,this.font=n.font}addMathmlNodes(t){for(let e,r=0;e=t[r];r++)-1===this.mathml.indexOf(e)&&this.mathml.push(e)}appendChild(t){this.childNodes.push(t),this.addMathmlNodes(t.mathml),t.parent=this}replaceChild(t,e){const r=this.childNodes.indexOf(t);if(-1===r)return;t.parent=null,e.parent=this,this.childNodes[r]=e;const n=t.mathml.filter((function(t){return-1===e.mathml.indexOf(t)})),o=e.mathml.filter((function(e){return-1===t.mathml.indexOf(e)}));this.removeMathmlNodes(n),this.addMathmlNodes(o)}appendContentNode(t){t&&(this.contentNodes.push(t),this.addMathmlNodes(t.mathml),t.parent=this)}removeContentNode(t){if(t){const e=this.contentNodes.indexOf(t);-1!==e&&this.contentNodes.slice(e,1)}}equals(t){if(!t)return!1;if(this.type!==t.type||this.role!==t.role||this.textContent!==t.textContent||this.childNodes.length!==t.childNodes.length||this.contentNodes.length!==t.contentNodes.length)return!1;for(let e,r,n=0;e=this.childNodes[n],r=t.childNodes[n];n++)if(!e.equals(r))return!1;for(let e,r,n=0;e=this.contentNodes[n],r=t.contentNodes[n];n++)if(!e.equals(r))return!1;return!0}displayTree(){console.info(this.displayTree_(0))}addAnnotation(t,e){e&&this.addAnnotation_(t,e)}getAnnotation(t){const e=this.annotation[t];return e||[]}hasAnnotation(t,e){const r=this.annotation[t];return!!r&&-1!==r.indexOf(e)}parseAnnotation(t){const e=t.split(";");for(let t=0,r=e.length;t<r;t++){const r=e[t].split(":");this.addAnnotation(r[0],r[1])}}meaning(){return{type:this.type,role:this.role,font:this.font}}xmlAttributes(t){const e=this.allAttributes();for(let r,n=0;r=e[n];n++)t.setAttribute(r[0],r[1]);this.addExternalAttributes(t)}addExternalAttributes(t){for(const e in this.attributes)t.setAttribute(e,this.attributes[e])}removeMathmlNodes(t){const e=this.mathml;for(let r,n=0;r=t[n];n++){const t=e.indexOf(r);-1!==t&&e.splice(t,1)}this.mathml=e}displayTree_(t){t++;const e=Array(t).join("  ");let r="";r+="\n"+e+this.toString(),r+="\n"+e+"MathmlTree:",r+="\n"+e+this.mathmlTreeString(),r+="\n"+e+"MathML:";for(let t,n=0;t=this.mathml[n];n++)r+="\n"+e+t.toString();return r+="\n"+e+"Begin Content",this.contentNodes.forEach((function(e){r+=e.displayTree_(t)})),r+="\n"+e+"End Content",r+="\n"+e+"Begin Children",this.childNodes.forEach((function(e){r+=e.displayTree_(t)})),r+="\n"+e+"End Children",r}mathmlTreeString(){return this.mathmlTree?this.mathmlTree.toString():"EMPTY"}addAnnotation_(t,e){const r=this.annotation[t];r?r.push(e):this.annotation[t]=[e]}}e.SemanticNode=s},6537:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticNodeFactory=void 0;const n=r(8158),o=r(8158),i=r(5952);e.SemanticNodeFactory=class{constructor(){this.leafMap=new o.SemanticNodeCollator,this.defaultMap=new n.SemanticDefault,this.idCounter_=-1}makeNode(t){return this.createNode_(t)}makeUnprocessed(t){const e=this.createNode_();return e.mathml=[t],e.mathmlTree=t,e}makeEmptyNode(){const t=this.createNode_();return t.type="empty",t}makeContentNode(t){const e=this.createNode_();return e.updateContent(t),e}makeMultipleContentNodes(t,e){const r=[];for(let n=0;n<t;n++)r.push(this.makeContentNode(e));return r}makeLeafNode(t,e){if(!t)return this.makeEmptyNode();const r=this.makeContentNode(t);r.font=e||r.font;const n=this.defaultMap.retrieveNode(r);return n&&(r.type=n.type,r.role=n.role,r.font=n.font),this.leafMap.addNode(r),r}makeBranchNode(t,e,r,n){const o=this.createNode_();return n&&o.updateContent(n),o.type=t,o.childNodes=e,o.contentNodes=r,e.concat(r).forEach((function(t){t.parent=o,o.addMathmlNodes(t.mathml)})),o}createNode_(t){return void 0!==t?this.idCounter_=Math.max(this.idCounter_,t):t=++this.idCounter_,new i.SemanticNode(t)}}},3882:function(t,e){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticComparator=e.reduce=e.sort=e.apply=e.add=void 0;const r=[];function n(t){r.push(t)}function o(t,e){for(let n,o=0;n=r[o];o++){const r=n.compare(t,e);if(0!==r)return r}return 0}function i(t){t.sort(o)}e.add=n,e.apply=o,e.sort=i,e.reduce=function(t){if(t.length<=1)return t;const e=t.slice();i(e);const r=[];let n;do{n=e.pop(),r.push(n)}while(n&&e.length&&0===o(e[e.length-1],n));return r};class s{constructor(t,e=null){this.comparator=t,this.type=e,n(this)}compare(t,e){return this.type&&this.type===t.type&&this.type===e.type?this.comparator(t,e):0}}e.SemanticComparator=s,new s((function(t,e){return"simple function"===t.role?1:"simple function"===e.role?-1:0}),"identifier")},5250:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticAbstractParser=void 0;const n=r(6537);e.SemanticAbstractParser=class{constructor(t){this.type=t,this.factory_=new n.SemanticNodeFactory}getFactory(){return this.factory_}setFactory(t){this.factory_=t}getType(){return this.type}parseList(t){const e=[];for(let r,n=0;r=t[n];n++)e.push(this.parse(r));return e}}},5609:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.isMembership=e.elligibleRightNeutral=e.elligibleLeftNeutral=e.compareNeutralFences=e.isNeutralFence=e.isImplicitOp=e.isImplicit=e.isPureUnit=e.isUnitCounter=e.isNumber=e.isSingletonSetContent=e.scriptedElement_=e.illegalSingleton_=e.isSetNode=e.isRightBrace=e.isLeftBrace=e.isSimpleFunction=e.singlePunctAtPosition=e.isSimpleFunctionHead=e.isLimitBase=e.isBinomial=e.lineIsLabelled=e.tableIsMultiline=e.tableIsCases=e.isFencedElement=e.tableIsMatrixOrVector=e.isTableOrMultiline=e.isElligibleEmbellishedFence=e.isFence=e.isPunctuation=e.isRelation=e.isOperator=e.isEmbellished=e.isGeneralFunctionBoundary=e.isIntegralDxBoundarySingle=e.isIntegralDxBoundary=e.isBigOpBoundary=e.isPrefixFunctionBoundary=e.isSimpleFunctionScope=e.isAccent=e.isRole=e.embellishedType=e.isType=void 0;const n=r(3588),o=r(4795);function i(t,e){return t.type===e}function s(t,e){return t.embellished===e}function a(t,e){return t.role===e}function l(t){return u(t)||p(t)}function c(t){return i(t,"operator")||s(t,"operator")}function u(t){return i(t,"relation")||s(t,"relation")}function p(t){return i(t,"punctuation")||s(t,"punctuation")}function h(t){return i(t,"fence")||s(t,"fence")}function f(t){return!t.embellished||!function(t){return i(t,"tensor")&&(!i(t.childNodes[1],"empty")||!i(t.childNodes[2],"empty"))&&(!i(t.childNodes[3],"empty")||!i(t.childNodes[4],"empty"))}(t)&&((!a(t,"close")||!i(t,"tensor"))&&((!a(t,"open")||!i(t,"subscript")&&!i(t,"superscript"))&&f(t.childNodes[0])))}function d(t){return!!t&&(i(t,"table")||i(t,"multiline"))}function m(t){return!!t&&i(t,"fenced")&&(a(t,"leftright")||v(t))&&1===t.childNodes.length}function y(t){return!!t&&-1!==["{","\ufe5b","\uff5b"].indexOf(t.textContent)}function g(t){return!!t&&-1!==["}","\ufe5c","\uff5d"].indexOf(t.textContent)}function b(t){return"number"===t.type&&("integer"===t.role||"float"===t.role)}function v(t){return"neutral"===t.role||"metric"===t.role}e.isType=i,e.embellishedType=s,e.isRole=a,e.isAccent=function(t){const e=new RegExp("\u221e|\u1ab2");return i(t,"fence")||i(t,"punctuation")||i(t,"operator")&&!t.textContent.match(e)||i(t,"relation")||i(t,"identifier")&&a(t,"unknown")&&!t.textContent.match(n.allLettersRegExp)&&!t.textContent.match(e)},e.isSimpleFunctionScope=function(t){const e=t.childNodes;if(0===e.length)return!0;if(e.length>1)return!1;const r=e[0];if("infixop"===r.type){if("implicit"!==r.role)return!1;if(r.childNodes.some((t=>i(t,"infixop"))))return!1}return!0},e.isPrefixFunctionBoundary=function(t){return c(t)&&!a(t,"division")||i(t,"appl")||l(t)},e.isBigOpBoundary=function(t){return c(t)||l(t)},e.isIntegralDxBoundary=function(t,e){return!!e&&i(e,"identifier")&&n.lookupSecondary("d",t.textContent)},e.isIntegralDxBoundarySingle=function(t){if(i(t,"identifier")){const e=t.textContent[0];return e&&t.textContent[1]&&n.lookupSecondary("d",e)}return!1},e.isGeneralFunctionBoundary=l,e.isEmbellished=function(t){return t.embellished?t.embellished:n.isEmbellishedType(t.type)?t.type:null},e.isOperator=c,e.isRelation=u,e.isPunctuation=p,e.isFence=h,e.isElligibleEmbellishedFence=function(t){return!(!t||!h(t))&&(!t.embellished||f(t))},e.isTableOrMultiline=d,e.tableIsMatrixOrVector=function(t){return!!t&&m(t)&&d(t.childNodes[0])},e.isFencedElement=m,e.tableIsCases=function(t,e){return e.length>0&&a(e[e.length-1],"openfence")},e.tableIsMultiline=function(t){return t.childNodes.every((function(t){return t.childNodes.length<=1}))},e.lineIsLabelled=function(t){return i(t,"line")&&t.contentNodes.length&&a(t.contentNodes[0],"label")},e.isBinomial=function(t){return 2===t.childNodes.length},e.isLimitBase=function t(e){return i(e,"largeop")||i(e,"limboth")||i(e,"limlower")||i(e,"limupper")||i(e,"function")&&a(e,"limit function")||(i(e,"overscore")||i(e,"underscore"))&&t(e.childNodes[0])},e.isSimpleFunctionHead=function(t){return"identifier"===t.type||"latinletter"===t.role||"greekletter"===t.role||"otherletter"===t.role},e.singlePunctAtPosition=function(t,e,r){return 1===e.length&&("punctuation"===t[r].type||"punctuation"===t[r].embellished)&&t[r]===e[0]},e.isSimpleFunction=function(t){return i(t,"identifier")&&a(t,"simple function")},e.isLeftBrace=y,e.isRightBrace=g,e.isSetNode=function(t){return y(t.contentNodes[0])&&g(t.contentNodes[1])},e.illegalSingleton_=["punctuation","punctuated","relseq","multirel","table","multiline","cases","inference"],e.scriptedElement_=["limupper","limlower","limboth","subscript","superscript","underscore","overscore","tensor"],e.isSingletonSetContent=function t(r){const n=r.type;return-1===e.illegalSingleton_.indexOf(n)&&("infixop"!==n||"implicit"===r.role)&&("fenced"===n?"leftright"!==r.role||t(r.childNodes[0]):-1===e.scriptedElement_.indexOf(n)||t(r.childNodes[0]))},e.isNumber=b,e.isUnitCounter=function(t){return b(t)||"vulgar"===t.role||"mixed"===t.role},e.isPureUnit=function(t){const e=t.childNodes;return"unit"===t.role&&(!e.length||"unit"===e[0].role)},e.isImplicit=function(t){return"implicit"===t.role||"unit"===t.role&&!!t.contentNodes.length&&t.contentNodes[0].textContent===n.invisibleTimes()},e.isImplicitOp=function(t){return"infixop"===t.type&&"implicit"===t.role},e.isNeutralFence=v,e.compareNeutralFences=function(t,e){return v(t)&&v(e)&&(0,o.getEmbellishedInner)(t).textContent===(0,o.getEmbellishedInner)(e).textContent},e.elligibleLeftNeutral=function(t){return!!v(t)&&(!t.embellished||"superscript"!==t.type&&"subscript"!==t.type&&("tensor"!==t.type||"empty"===t.childNodes[3].type&&"empty"===t.childNodes[4].type))},e.elligibleRightNeutral=function(t){return!!v(t)&&(!t.embellished||("tensor"!==t.type||"empty"===t.childNodes[1].type&&"empty"===t.childNodes[2].type))},e.isMembership=function(t){return["element","nonelement","reelement","renonelement"].includes(t.role)}},3308:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0});const n=r(5740),o=r(3588),i=r(7516),s=r(6537),a=r(5609),l=r(4795);class c{constructor(){this.funcAppls={},this.factory_=new s.SemanticNodeFactory,i.updateFactory(this.factory_)}static getInstance(){return c.instance=c.instance||new c,c.instance}static tableToMultiline(t){if(a.tableIsMultiline(t)){t.type="multiline";for(let e,r=0;e=t.childNodes[r];r++)c.rowToLine_(e,"multiline");1===t.childNodes.length&&!a.lineIsLabelled(t.childNodes[0])&&a.isFencedElement(t.childNodes[0].childNodes[0])&&c.tableToMatrixOrVector_(c.rewriteFencedLine_(t)),c.binomialForm_(t),c.classifyMultiline(t)}else c.classifyTable(t)}static number(t){"unknown"!==t.type&&"identifier"!==t.type||(t.type="number"),c.numberRole_(t),c.exprFont_(t)}static classifyMultiline(t){let e=0;const r=t.childNodes.length;let n;for(;e<r&&(!(n=t.childNodes[e])||!n.childNodes.length);)e++;if(e>=r)return;const o=n.childNodes[0].role;"unknown"!==o&&t.childNodes.every((function(t){const e=t.childNodes[0];return!e||e.role===o&&(a.isType(e,"relation")||a.isType(e,"relseq"))}))&&(t.role=o)}static classifyTable(t){const e=c.computeColumns_(t);c.classifyByColumns_(t,e,"equality")||c.classifyByColumns_(t,e,"inequality",["equality"])||c.classifyByColumns_(t,e,"arrow")||c.detectCaleyTable(t)}static detectCaleyTable(t){if(!t.mathmlTree)return!1;const e=t.mathmlTree,r=e.getAttribute("columnlines"),n=e.getAttribute("rowlines");return!(!r||!n)&&(!(!c.cayleySpacing(r)||!c.cayleySpacing(n))&&(t.role="cayley",!0))}static cayleySpacing(t){const e=t.split(" ");return("solid"===e[0]||"dashed"===e[0])&&e.slice(1).every((t=>"none"===t))}static proof(t,e,r){const n=c.separateSemantics(e);return c.getInstance().proof(t,n,r)}static findSemantics(t,e,r){const n=null==r?null:r,o=c.getSemantics(t);return!!o&&(!!o[e]&&(null==n||o[e]===n))}static getSemantics(t){const e=t.getAttribute("semantics");return e?c.separateSemantics(e):null}static removePrefix(t){const[,...e]=t.split("_");return e.join("_")}static separateSemantics(t){const e={};return t.split(";").forEach((function(t){const[r,n]=t.split(":");e[c.removePrefix(r)]=n})),e}static matchSpaces_(t,e){for(let r,n=0;r=e[n];n++){const e=t[n].mathmlTree,o=t[n+1].mathmlTree;if(!e||!o)continue;const i=e.nextSibling;if(!i||i===o)continue;const s=c.getSpacer_(i);s&&(r.mathml.push(s),r.mathmlTree=s,r.role="space")}}static getSpacer_(t){if("MSPACE"===n.tagName(t))return t;for(;l.hasEmptyTag(t)&&1===t.childNodes.length;)if(t=t.childNodes[0],"MSPACE"===n.tagName(t))return t;return null}static fenceToPunct_(t){const e=c.FENCE_TO_PUNCT_[t.role];if(e){for(;t.embellished;)t.embellished="punctuation",a.isRole(t,"subsup")||a.isRole(t,"underover")||(t.role=e),t=t.childNodes[0];t.type="punctuation",t.role=e}}static classifyFunction_(t,e){if("appl"===t.type||"bigop"===t.type||"integral"===t.type)return"";if(e[0]&&e[0].textContent===o.functionApplication()){c.getInstance().funcAppls[t.id]=e.shift();let r="simple function";return i.run("simple2prefix",t),"prefix function"!==t.role&&"limit function"!==t.role||(r=t.role),c.propagateFunctionRole_(t,r),"prefix"}const r=c.CLASSIFY_FUNCTION_[t.role];return r||(a.isSimpleFunctionHead(t)?"simple":"")}static propagateFunctionRole_(t,e){if(t){if("infixop"===t.type)return;a.isRole(t,"subsup")||a.isRole(t,"underover")||(t.role=e),c.propagateFunctionRole_(t.childNodes[0],e)}}static getFunctionOp_(t,e){if(e(t))return t;for(let r,n=0;r=t.childNodes[n];n++){const t=c.getFunctionOp_(r,e);if(t)return t}return null}static tableToMatrixOrVector_(t){const e=t.childNodes[0];a.isType(e,"multiline")?c.tableToVector_(t):c.tableToMatrix_(t),t.contentNodes.forEach(e.appendContentNode.bind(e));for(let t,r=0;t=e.childNodes[r];r++)c.assignRoleToRow_(t,c.getComponentRoles_(e));return e.parent=null,e}static tableToVector_(t){const e=t.childNodes[0];e.type="vector",1!==e.childNodes.length?c.binomialForm_(e):c.tableToSquare_(t)}static binomialForm_(t){a.isBinomial(t)&&(t.role="binomial",t.childNodes[0].role="binomial",t.childNodes[1].role="binomial")}static tableToMatrix_(t){const e=t.childNodes[0];e.type="matrix",e.childNodes&&e.childNodes.length>0&&e.childNodes[0].childNodes&&e.childNodes.length===e.childNodes[0].childNodes.length?c.tableToSquare_(t):e.childNodes&&1===e.childNodes.length&&(e.role="rowvector")}static tableToSquare_(t){const e=t.childNodes[0];a.isNeutralFence(t)?e.role="determinant":e.role="squarematrix"}static getComponentRoles_(t){const e=t.role;return e&&"unknown"!==e?e:t.type.toLowerCase()||"unknown"}static tableToCases_(t,e){for(let e,r=0;e=t.childNodes[r];r++)c.assignRoleToRow_(e,"cases");return t.type="cases",t.appendContentNode(e),a.tableIsMultiline(t)&&c.binomialForm_(t),t}static rewriteFencedLine_(t){const e=t.childNodes[0],r=t.childNodes[0].childNodes[0],n=t.childNodes[0].childNodes[0].childNodes[0];return r.parent=t.parent,t.parent=r,n.parent=e,r.childNodes=[t],e.childNodes=[n],r}static rowToLine_(t,e){const r=e||"unknown";a.isType(t,"row")&&(t.type="line",t.role=r,1===t.childNodes.length&&a.isType(t.childNodes[0],"cell")&&(t.childNodes=t.childNodes[0].childNodes,t.childNodes.forEach((function(e){e.parent=t}))))}static assignRoleToRow_(t,e){a.isType(t,"line")?t.role=e:a.isType(t,"row")&&(t.role=e,t.childNodes.forEach((function(t){a.isType(t,"cell")&&(t.role=e)})))}static nextSeparatorFunction_(t){let e;if(t){if(t.match(/^\s+$/))return null;e=t.replace(/\s/g,"").split("").filter((function(t){return t}))}else e=[","];return function(){return e.length>1?e.shift():e[0]}}static numberRole_(t){if("unknown"!==t.role)return;const e=[...t.textContent].filter((t=>t.match(/[^\s]/))),r=e.map(o.lookupMeaning);if(r.every((function(t){return"number"===t.type&&"integer"===t.role||"punctuation"===t.type&&"comma"===t.role})))return t.role="integer",void("0"===e[0]&&t.addAnnotation("general","basenumber"));r.every((function(t){return"number"===t.type&&"integer"===t.role||"punctuation"===t.type}))?t.role="float":t.role="othernumber"}static exprFont_(t){if("unknown"!==t.font)return;const e=[...t.textContent].map(o.lookupMeaning).reduce((function(t,e){return t&&e.font&&"unknown"!==e.font&&e.font!==t?"unknown"===t?e.font:null:t}),"unknown");e&&(t.font=e)}static purgeFences_(t){const e=t.rel,r=t.comp,n=[],o=[];for(;e.length>0;){const t=e.shift();let i=r.shift();a.isElligibleEmbellishedFence(t)?(n.push(t),o.push(i)):(c.fenceToPunct_(t),i.push(t),i=i.concat(r.shift()),r.unshift(i))}return o.push(r.shift()),{rel:n,comp:o}}static rewriteFencedNode_(t){const e=t.contentNodes[0],r=t.contentNodes[1];let n=c.rewriteFence_(t,e);return t.contentNodes[0]=n.fence,n=c.rewriteFence_(n.node,r),t.contentNodes[1]=n.fence,t.contentNodes[0].parent=t,t.contentNodes[1].parent=t,n.node.parent=null,n.node}static rewriteFence_(t,e){if(!e.embellished)return{node:t,fence:e};const r=e.childNodes[0],n=c.rewriteFence_(t,r);return a.isType(e,"superscript")||a.isType(e,"subscript")||a.isType(e,"tensor")?(a.isRole(e,"subsup")||(e.role=t.role),r!==n.node&&(e.replaceChild(r,n.node),r.parent=t),c.propagateFencePointer_(e,r),{node:e,fence:n.fence}):(e.replaceChild(r,n.fence),e.mathmlTree&&-1===e.mathml.indexOf(e.mathmlTree)&&e.mathml.push(e.mathmlTree),{node:n.node,fence:e})}static propagateFencePointer_(t,e){t.fencePointer=e.fencePointer||e.id.toString(),t.embellished=null}static classifyByColumns_(t,e,r,n){return!!(3===e.length&&c.testColumns_(e,1,(t=>c.isPureRelation_(t,r)))||2===e.length&&(c.testColumns_(e,1,(t=>c.isEndRelation_(t,r)||c.isPureRelation_(t,r)))||c.testColumns_(e,0,(t=>c.isEndRelation_(t,r,!0)||c.isPureRelation_(t,r)))))&&(t.role=r,!0)}static isEndRelation_(t,e,r){const n=r?t.childNodes.length-1:0;return a.isType(t,"relseq")&&a.isRole(t,e)&&a.isType(t.childNodes[n],"empty")}static isPureRelation_(t,e){return a.isType(t,"relation")&&a.isRole(t,e)}static computeColumns_(t){const e=[];for(let r,n=0;r=t.childNodes[n];n++)for(let t,n=0;t=r.childNodes[n];n++){e[n]?e[n].push(t):e[n]=[t]}return e}static testColumns_(t,e,r){const n=t[e];return!!n&&(n.some((function(t){return t.childNodes.length&&r(t.childNodes[0])}))&&n.every((function(t){return!t.childNodes.length||r(t.childNodes[0])})))}setNodeFactory(t){c.getInstance().factory_=t,i.updateFactory(c.getInstance().factory_)}getNodeFactory(){return c.getInstance().factory_}identifierNode(t,e,r){if("MathML-Unit"===r)t.type="identifier",t.role="unit";else if(!e&&1===t.textContent.length&&("integer"===t.role||"latinletter"===t.role||"greekletter"===t.role)&&"normal"===t.font)return t.font="italic",i.run("simpleNamedFunction",t);return"unknown"===t.type&&(t.type="identifier"),c.exprFont_(t),i.run("simpleNamedFunction",t)}implicitNode(t){if(t=c.getInstance().getMixedNumbers_(t),1===(t=c.getInstance().combineUnits_(t)).length)return t[0];const e=c.getInstance().implicitNode_(t);return i.run("combine_juxtaposition",e)}text(t,e){return c.exprFont_(t),t.type="text","MS"===e?(t.role="string",t):"MSPACE"===e||t.textContent.match(/^\s*$/)?(t.role="space",t):t}row(t){return 0===(t=t.filter((function(t){return!a.isType(t,"empty")}))).length?c.getInstance().factory_.makeEmptyNode():(t=c.getInstance().getFencesInRow_(t),t=c.getInstance().tablesInRow(t),t=c.getInstance().getPunctuationInRow_(t),t=c.getInstance().getTextInRow_(t),t=c.getInstance().getFunctionsInRow_(t),c.getInstance().relationsInRow_(t))}limitNode(t,e){if(!e.length)return c.getInstance().factory_.makeEmptyNode();let r,n=e[0],o="unknown";if(!e[1])return n;if(a.isLimitBase(n)){r=c.MML_TO_LIMIT_[t];const i=r.length;if(o=r.type,e=e.slice(0,r.length+1),1===i&&a.isAccent(e[1])||2===i&&a.isAccent(e[1])&&a.isAccent(e[2]))return r=c.MML_TO_BOUNDS_[t],c.getInstance().accentNode_(n,e,r.type,r.length,r.accent);if(2===i){if(a.isAccent(e[1]))return n=c.getInstance().accentNode_(n,[n,e[1]],{MSUBSUP:"subscript",MUNDEROVER:"underscore"}[t],1,!0),e[2]?c.getInstance().makeLimitNode_(n,[n,e[2]],null,"limupper"):n;if(e[2]&&a.isAccent(e[2]))return n=c.getInstance().accentNode_(n,[n,e[2]],{MSUBSUP:"superscript",MUNDEROVER:"overscore"}[t],1,!0),c.getInstance().makeLimitNode_(n,[n,e[1]],null,"limlower");e[i]||(o="limlower")}return c.getInstance().makeLimitNode_(n,e,null,o)}return r=c.MML_TO_BOUNDS_[t],c.getInstance().accentNode_(n,e,r.type,r.length,r.accent)}tablesInRow(t){let e=l.partitionNodes(t,a.tableIsMatrixOrVector),r=[];for(let t,n=0;t=e.rel[n];n++)r=r.concat(e.comp.shift()),r.push(c.tableToMatrixOrVector_(t));r=r.concat(e.comp.shift()),e=l.partitionNodes(r,a.isTableOrMultiline),r=[];for(let t,n=0;t=e.rel[n];n++){const n=e.comp.shift();a.tableIsCases(t,n)&&c.tableToCases_(t,n.pop()),r=r.concat(n),r.push(t)}return r.concat(e.comp.shift())}mfenced(t,e,r,n){if(r&&n.length>0){const t=c.nextSeparatorFunction_(r),e=[n.shift()];n.forEach((r=>{e.push(c.getInstance().factory_.makeContentNode(t())),e.push(r)})),n=e}return t&&e?c.getInstance().horizontalFencedNode_(c.getInstance().factory_.makeContentNode(t),c.getInstance().factory_.makeContentNode(e),n):(t&&n.unshift(c.getInstance().factory_.makeContentNode(t)),e&&n.push(c.getInstance().factory_.makeContentNode(e)),c.getInstance().row(n))}fractionLikeNode(t,e,r,n){let o;if(!n&&l.isZeroLength(r)){const r=c.getInstance().factory_.makeBranchNode("line",[t],[]),n=c.getInstance().factory_.makeBranchNode("line",[e],[]);return o=c.getInstance().factory_.makeBranchNode("multiline",[r,n],[]),c.binomialForm_(o),c.classifyMultiline(o),o}return o=c.getInstance().fractionNode_(t,e),n&&o.addAnnotation("general","bevelled"),o}tensor(t,e,r,n,o){const i=c.getInstance().factory_.makeBranchNode("tensor",[t,c.getInstance().scriptNode_(e,"leftsub"),c.getInstance().scriptNode_(r,"leftsuper"),c.getInstance().scriptNode_(n,"rightsub"),c.getInstance().scriptNode_(o,"rightsuper")],[]);return i.role=t.role,i.embellished=a.isEmbellished(t),i}pseudoTensor(t,e,r){const n=t=>!a.isType(t,"empty"),o=e.filter(n).length,i=r.filter(n).length;if(!o&&!i)return t;const s=o?i?"MSUBSUP":"MSUB":"MSUP",l=[t];return o&&l.push(c.getInstance().scriptNode_(e,"rightsub",!0)),i&&l.push(c.getInstance().scriptNode_(r,"rightsuper",!0)),c.getInstance().limitNode(s,l)}font(t){const e=c.MATHJAX_FONTS[t];return e||t}proof(t,e,r){if(e.inference||e.axiom||console.log("Noise"),e.axiom){const e=c.getInstance().cleanInference(t.childNodes),n=e.length?c.getInstance().factory_.makeBranchNode("inference",r(e),[]):c.getInstance().factory_.makeEmptyNode();return n.role="axiom",n.mathmlTree=t,n}const n=c.getInstance().inference(t,e,r);return e.proof&&(n.role="proof",n.childNodes[0].role="final"),n}inference(t,e,r){if(e.inferenceRule){const e=c.getInstance().getFormulas(t,[],r);return c.getInstance().factory_.makeBranchNode("inference",[e.conclusion,e.premises],[])}const o=e.labelledRule,i=n.toArray(t.childNodes),s=[];"left"!==o&&"both"!==o||s.push(c.getInstance().getLabel(t,i,r,"left")),"right"!==o&&"both"!==o||s.push(c.getInstance().getLabel(t,i,r,"right"));const a=c.getInstance().getFormulas(t,i,r),l=c.getInstance().factory_.makeBranchNode("inference",[a.conclusion,a.premises],s);return l.mathmlTree=t,l}getLabel(t,e,r,o){const i=c.getInstance().findNestedRow(e,"prooflabel",o),s=c.getInstance().factory_.makeBranchNode("rulelabel",r(n.toArray(i.childNodes)),[]);return s.role=o,s.mathmlTree=i,s}getFormulas(t,e,r){const o=e.length?c.getInstance().findNestedRow(e,"inferenceRule"):t,i="up"===c.getSemantics(o).inferenceRule,s=i?o.childNodes[1]:o.childNodes[0],a=i?o.childNodes[0]:o.childNodes[1],l=s.childNodes[0].childNodes[0],u=n.toArray(l.childNodes[0].childNodes),p=[];let h=1;for(const t of u)h%2&&p.push(t.childNodes[0]),h++;const f=r(p),d=r(n.toArray(a.childNodes[0].childNodes))[0],m=c.getInstance().factory_.makeBranchNode("premises",f,[]);m.mathmlTree=l;const y=c.getInstance().factory_.makeBranchNode("conclusion",[d],[]);return y.mathmlTree=a.childNodes[0].childNodes[0],{conclusion:y,premises:m}}findNestedRow(t,e,r){return c.getInstance().findNestedRow_(t,e,0,r)}cleanInference(t){return n.toArray(t).filter((function(t){return"MSPACE"!==n.tagName(t)}))}operatorNode(t){return"unknown"===t.type&&(t.type="operator"),i.run("multioperator",t)}implicitNode_(t){const e=c.getInstance().factory_.makeMultipleContentNodes(t.length-1,o.invisibleTimes());c.matchSpaces_(t,e);const r=c.getInstance().infixNode_(t,e[0]);return r.role="implicit",e.forEach((function(t){t.parent=r})),r.contentNodes=e,r}infixNode_(t,e){const r=c.getInstance().factory_.makeBranchNode("infixop",t,[e],l.getEmbellishedInner(e).textContent);return r.role=e.role,i.run("propagateSimpleFunction",r)}explicitMixed_(t){const e=l.partitionNodes(t,(function(t){return t.textContent===o.invisiblePlus()}));if(!e.rel.length)return t;let r=[];for(let t,n=0;t=e.rel[n];n++){const o=e.comp[n],i=e.comp[n+1],s=o.length-1;if(o[s]&&i[0]&&a.isType(o[s],"number")&&!a.isRole(o[s],"mixed")&&a.isType(i[0],"fraction")){const t=c.getInstance().factory_.makeBranchNode("number",[o[s],i[0]],[]);t.role="mixed",r=r.concat(o.slice(0,s)),r.push(t),i.shift()}else r=r.concat(o),r.push(t)}return r.concat(e.comp[e.comp.length-1])}concatNode_(t,e,r){if(0===e.length)return t;const n=e.map((function(t){return l.getEmbellishedInner(t).textContent})).join(" "),o=c.getInstance().factory_.makeBranchNode(r,[t],e,n);return e.length>1&&(o.role="multiop"),o}prefixNode_(t,e){const r=l.partitionNodes(e,(t=>a.isRole(t,"subtraction")));let n=c.getInstance().concatNode_(t,r.comp.pop(),"prefixop");for(1===n.contentNodes.length&&"addition"===n.contentNodes[0].role&&"+"===n.contentNodes[0].textContent&&(n.role="positive");r.rel.length>0;)n=c.getInstance().concatNode_(n,[r.rel.pop()],"prefixop"),n.role="negative",n=c.getInstance().concatNode_(n,r.comp.pop(),"prefixop");return n}postfixNode_(t,e){return e.length?c.getInstance().concatNode_(t,e,"postfixop"):t}combineUnits_(t){const e=l.partitionNodes(t,(function(t){return!a.isRole(t,"unit")}));if(t.length===e.rel.length)return e.rel;const r=[];let n,o;do{const t=e.comp.shift();n=e.rel.shift();let i=null;o=r.pop(),o&&(t.length&&a.isUnitCounter(o)?t.unshift(o):r.push(o)),1===t.length&&(i=t.pop()),t.length>1&&(i=c.getInstance().implicitNode_(t),i.role="unit"),i&&r.push(i),n&&r.push(n)}while(n);return r}getMixedNumbers_(t){const e=l.partitionNodes(t,(function(t){return a.isType(t,"fraction")&&a.isRole(t,"vulgar")}));if(!e.rel.length)return t;let r=[];for(let t,n=0;t=e.rel[n];n++){const o=e.comp[n],i=o.length-1;if(o[i]&&a.isType(o[i],"number")&&(a.isRole(o[i],"integer")||a.isRole(o[i],"float"))){const e=c.getInstance().factory_.makeBranchNode("number",[o[i],t],[]);e.role="mixed",r=r.concat(o.slice(0,i)),r.push(e)}else r=r.concat(o),r.push(t)}return r.concat(e.comp[e.comp.length-1])}getTextInRow_(t){if(t.length<=1)return t;const e=l.partitionNodes(t,(t=>a.isType(t,"text")));if(0===e.rel.length)return t;const r=[];let n=e.comp[0];n.length>0&&r.push(c.getInstance().row(n));for(let t,o=0;t=e.rel[o];o++)r.push(t),n=e.comp[o+1],n.length>0&&r.push(c.getInstance().row(n));return[c.getInstance().dummyNode_(r)]}relationsInRow_(t){const e=l.partitionNodes(t,a.isRelation),r=e.rel[0];if(!r)return c.getInstance().operationsInRow_(t);if(1===t.length)return t[0];const n=e.comp.map(c.getInstance().operationsInRow_);let o;return e.rel.some((function(t){return!t.equals(r)}))?(o=c.getInstance().factory_.makeBranchNode("multirel",n,e.rel),e.rel.every((function(t){return t.role===r.role}))&&(o.role=r.role),o):(o=c.getInstance().factory_.makeBranchNode("relseq",n,e.rel,l.getEmbellishedInner(r).textContent),o.role=r.role,o)}operationsInRow_(t){if(0===t.length)return c.getInstance().factory_.makeEmptyNode();if(1===(t=c.getInstance().explicitMixed_(t)).length)return t[0];const e=[];for(;t.length>0&&a.isOperator(t[0]);)e.push(t.shift());if(0===t.length)return c.getInstance().prefixNode_(e.pop(),e);if(1===t.length)return c.getInstance().prefixNode_(t[0],e);t=i.run("convert_juxtaposition",t);const r=l.sliceNodes(t,a.isOperator),n=c.getInstance().prefixNode_(c.getInstance().implicitNode(r.head),e);return r.div?c.getInstance().operationsTree_(r.tail,n,r.div):n}operationsTree_(t,e,r,n){const o=n||[];if(0===t.length){if(o.unshift(r),"infixop"===e.type){const t=c.getInstance().postfixNode_(e.childNodes.pop(),o);return e.appendChild(t),e}return c.getInstance().postfixNode_(e,o)}const i=l.sliceNodes(t,a.isOperator);if(0===i.head.length)return o.push(i.div),c.getInstance().operationsTree_(i.tail,e,r,o);const s=c.getInstance().prefixNode_(c.getInstance().implicitNode(i.head),o),u=c.getInstance().appendOperand_(e,r,s);return i.div?c.getInstance().operationsTree_(i.tail,u,i.div,[]):u}appendOperand_(t,e,r){if("infixop"!==t.type)return c.getInstance().infixNode_([t,r],e);const n=c.getInstance().appendDivisionOp_(t,e,r);return n||(c.getInstance().appendExistingOperator_(t,e,r)?t:"multiplication"===e.role?c.getInstance().appendMultiplicativeOp_(t,e,r):c.getInstance().appendAdditiveOp_(t,e,r))}appendDivisionOp_(t,e,r){return"division"===e.role?a.isImplicit(t)?c.getInstance().infixNode_([t,r],e):c.getInstance().appendLastOperand_(t,e,r):"division"===t.role?c.getInstance().infixNode_([t,r],e):null}appendLastOperand_(t,e,r){let n=t,o=t.childNodes[t.childNodes.length-1];for(;o&&"infixop"===o.type&&!a.isImplicit(o);)n=o,o=n.childNodes[t.childNodes.length-1];const i=c.getInstance().infixNode_([n.childNodes.pop(),r],e);return n.appendChild(i),t}appendMultiplicativeOp_(t,e,r){if(a.isImplicit(t))return c.getInstance().infixNode_([t,r],e);let n=t,o=t.childNodes[t.childNodes.length-1];for(;o&&"infixop"===o.type&&!a.isImplicit(o);)n=o,o=n.childNodes[t.childNodes.length-1];const i=c.getInstance().infixNode_([n.childNodes.pop(),r],e);return n.appendChild(i),t}appendAdditiveOp_(t,e,r){return c.getInstance().infixNode_([t,r],e)}appendExistingOperator_(t,e,r){return!(!t||"infixop"!==t.type||a.isImplicit(t))&&(t.contentNodes[0].equals(e)?(t.appendContentNode(e),t.appendChild(r),!0):c.getInstance().appendExistingOperator_(t.childNodes[t.childNodes.length-1],e,r))}getFencesInRow_(t){let e=l.partitionNodes(t,a.isFence);e=c.purgeFences_(e);const r=e.comp.shift();return c.getInstance().fences_(e.rel,e.comp,[],[r])}fences_(t,e,r,n){if(0===t.length&&0===r.length)return n[0];const o=t=>a.isRole(t,"open");if(0===t.length){const t=n.shift();for(;r.length>0;){if(o(r[0])){const e=r.shift();c.fenceToPunct_(e),t.push(e)}else{const e=l.sliceNodes(r,o),i=e.head.length-1,s=c.getInstance().neutralFences_(e.head,n.slice(0,i));n=n.slice(i),t.push(...s),e.div&&e.tail.unshift(e.div),r=e.tail}t.push(...n.shift())}return t}const i=r[r.length-1],s=t[0].role;if("open"===s||a.isNeutralFence(t[0])&&(!i||!a.compareNeutralFences(t[0],i))){r.push(t.shift());const o=e.shift();return o&&n.push(o),c.getInstance().fences_(t,e,r,n)}if(i&&"close"===s&&"open"===i.role){const o=c.getInstance().horizontalFencedNode_(r.pop(),t.shift(),n.pop());return n.push(n.pop().concat([o],e.shift())),c.getInstance().fences_(t,e,r,n)}if(i&&a.compareNeutralFences(t[0],i)){if(!a.elligibleLeftNeutral(i)||!a.elligibleRightNeutral(t[0])){r.push(t.shift());const o=e.shift();return o&&n.push(o),c.getInstance().fences_(t,e,r,n)}const o=c.getInstance().horizontalFencedNode_(r.pop(),t.shift(),n.pop());return n.push(n.pop().concat([o],e.shift())),c.getInstance().fences_(t,e,r,n)}if(i&&"close"===s&&a.isNeutralFence(i)&&r.some(o)){const i=l.sliceNodes(r,o,!0),s=n.pop(),a=n.length-i.tail.length+1,u=c.getInstance().neutralFences_(i.tail,n.slice(a));n=n.slice(0,a);const p=c.getInstance().horizontalFencedNode_(i.div,t.shift(),n.pop().concat(u,s));return n.push(n.pop().concat([p],e.shift())),c.getInstance().fences_(t,e,i.head,n)}const u=t.shift();return c.fenceToPunct_(u),n.push(n.pop().concat([u],e.shift())),c.getInstance().fences_(t,e,r,n)}neutralFences_(t,e){if(0===t.length)return t;if(1===t.length)return c.fenceToPunct_(t[0]),t;const r=t.shift();if(!a.elligibleLeftNeutral(r)){c.fenceToPunct_(r);const n=e.shift();return n.unshift(r),n.concat(c.getInstance().neutralFences_(t,e))}const n=l.sliceNodes(t,(function(t){return a.compareNeutralFences(t,r)}));if(!n.div){c.fenceToPunct_(r);const n=e.shift();return n.unshift(r),n.concat(c.getInstance().neutralFences_(t,e))}if(!a.elligibleRightNeutral(n.div))return c.fenceToPunct_(n.div),t.unshift(r),c.getInstance().neutralFences_(t,e);const o=c.getInstance().combineFencedContent_(r,n.div,n.head,e);if(n.tail.length>0){const t=o.shift(),e=c.getInstance().neutralFences_(n.tail,o);return t.concat(e)}return o[0]}combineFencedContent_(t,e,r,n){if(0===r.length){const r=c.getInstance().horizontalFencedNode_(t,e,n.shift());return n.length>0?n[0].unshift(r):n=[[r]],n}const o=n.shift(),i=r.length-1,s=n.slice(0,i),a=(n=n.slice(i)).shift(),l=c.getInstance().neutralFences_(r,s);o.push(...l),o.push(...a);const u=c.getInstance().horizontalFencedNode_(t,e,o);return n.length>0?n[0].unshift(u):n=[[u]],n}horizontalFencedNode_(t,e,r){const n=c.getInstance().row(r);let o=c.getInstance().factory_.makeBranchNode("fenced",[n],[t,e]);return"open"===t.role?(c.getInstance().classifyHorizontalFence_(o),o=i.run("propagateComposedFunction",o)):o.role=t.role,o=i.run("detect_cycle",o),c.rewriteFencedNode_(o)}classifyHorizontalFence_(t){t.role="leftright";const e=t.childNodes;if(!a.isSetNode(t)||e.length>1)return;if(0===e.length||"empty"===e[0].type)return void(t.role="set empty");const r=e[0].type;if(1===e.length&&a.isSingletonSetContent(e[0]))return void(t.role="set singleton");const n=e[0].role;if("punctuated"===r&&"sequence"===n){if("comma"!==e[0].contentNodes[0].role)return 1!==e[0].contentNodes.length||"vbar"!==e[0].contentNodes[0].role&&"colon"!==e[0].contentNodes[0].role?void 0:(t.role="set extended",void c.getInstance().setExtension_(t));t.role="set collection"}}setExtension_(t){const e=t.childNodes[0].childNodes[0];e&&"infixop"===e.type&&1===e.contentNodes.length&&a.isMembership(e.contentNodes[0])&&(e.addAnnotation("set","intensional"),e.contentNodes[0].addAnnotation("set","intensional"))}getPunctuationInRow_(t){if(t.length<=1)return t;const e=t=>{const e=t.type;return"punctuation"===e||"text"===e||"operator"===e||"relation"===e},r=l.partitionNodes(t,(function(r){if(!a.isPunctuation(r))return!1;if(a.isPunctuation(r)&&!a.isRole(r,"ellipsis"))return!0;const n=t.indexOf(r);if(0===n)return!t[1]||!e(t[1]);const o=t[n-1];if(n===t.length-1)return!e(o);const i=t[n+1];return!e(o)||!e(i)}));if(0===r.rel.length)return t;const n=[];let o=r.comp.shift();o.length>0&&n.push(c.getInstance().row(o));let i=0;for(;r.comp.length>0;)n.push(r.rel[i++]),o=r.comp.shift(),o.length>0&&n.push(c.getInstance().row(o));return[c.getInstance().punctuatedNode_(n,r.rel)]}punctuatedNode_(t,e){const r=c.getInstance().factory_.makeBranchNode("punctuated",t,e);if(e.length===t.length){const t=e[0].role;if("unknown"!==t&&e.every((function(e){return e.role===t})))return r.role=t,r}return a.singlePunctAtPosition(t,e,0)?r.role="startpunct":a.singlePunctAtPosition(t,e,t.length-1)?r.role="endpunct":e.every((t=>a.isRole(t,"dummy")))?r.role="text":e.every((t=>a.isRole(t,"space")))?r.role="space":r.role="sequence",r}dummyNode_(t){const e=c.getInstance().factory_.makeMultipleContentNodes(t.length-1,o.invisibleComma());return e.forEach((function(t){t.role="dummy"})),c.getInstance().punctuatedNode_(t,e)}accentRole_(t,e){if(!a.isAccent(t))return!1;const r=t.textContent,n=o.lookupSecondary("bar",r)||o.lookupSecondary("tilde",r)||t.role;return t.role="underscore"===e?"underaccent":"overaccent",t.addAnnotation("accent",n),!0}accentNode_(t,e,r,n,o){const i=(e=e.slice(0,n+1))[1],s=e[2];let a;if(!o&&s&&(a=c.getInstance().factory_.makeBranchNode("subscript",[t,i],[]),a.role="subsup",e=[a,s],r="superscript"),o){const n=c.getInstance().accentRole_(i,r);if(s){c.getInstance().accentRole_(s,"overscore")&&!n?(a=c.getInstance().factory_.makeBranchNode("overscore",[t,s],[]),e=[a,i],r="underscore"):(a=c.getInstance().factory_.makeBranchNode("underscore",[t,i],[]),e=[a,s],r="overscore"),a.role="underover"}}return c.getInstance().makeLimitNode_(t,e,a,r)}makeLimitNode_(t,e,r,n){if("limupper"===n&&"limlower"===t.type)return t.childNodes.push(e[1]),e[1].parent=t,t.type="limboth",t;if("limlower"===n&&"limupper"===t.type)return t.childNodes.splice(1,-1,e[1]),e[1].parent=t,t.type="limboth",t;const o=c.getInstance().factory_.makeBranchNode(n,e,[]),i=a.isEmbellished(t);return r&&(r.embellished=i),o.embellished=i,o.role=t.role,o}getFunctionsInRow_(t,e){const r=e||[];if(0===t.length)return r;const n=t.shift(),o=c.classifyFunction_(n,t);if(!o)return r.push(n),c.getInstance().getFunctionsInRow_(t,r);const i=c.getInstance().getFunctionsInRow_(t,[]),s=c.getInstance().getFunctionArgs_(n,i,o);return r.concat(s)}getFunctionArgs_(t,e,r){let n,o,i;switch(r){case"integral":{const r=c.getInstance().getIntegralArgs_(e);if(!r.intvar&&!r.integrand.length)return r.rest.unshift(t),r.rest;const n=c.getInstance().row(r.integrand);return i=c.getInstance().integralNode_(t,n,r.intvar),r.rest.unshift(i),r.rest}case"prefix":if(e[0]&&"fenced"===e[0].type){const r=e.shift();return a.isNeutralFence(r)||(r.role="leftright"),i=c.getInstance().functionNode_(t,r),e.unshift(i),e}if(n=l.sliceNodes(e,a.isPrefixFunctionBoundary),n.head.length)o=c.getInstance().row(n.head),n.div&&n.tail.unshift(n.div);else{if(!n.div||!a.isType(n.div,"appl"))return e.unshift(t),e;o=n.div}return i=c.getInstance().functionNode_(t,o),n.tail.unshift(i),n.tail;case"bigop":return n=l.sliceNodes(e,a.isBigOpBoundary),n.head.length?(o=c.getInstance().row(n.head),i=c.getInstance().bigOpNode_(t,o),n.div&&n.tail.unshift(n.div),n.tail.unshift(i),n.tail):(e.unshift(t),e);default:{if(0===e.length)return[t];const r=e[0];return"fenced"===r.type&&!a.isNeutralFence(r)&&a.isSimpleFunctionScope(r)?(r.role="leftright",c.propagateFunctionRole_(t,"simple function"),i=c.getInstance().functionNode_(t,e.shift()),e.unshift(i),e):(e.unshift(t),e)}}}getIntegralArgs_(t,e=[]){if(0===t.length)return{integrand:e,intvar:null,rest:t};const r=t[0];if(a.isGeneralFunctionBoundary(r))return{integrand:e,intvar:null,rest:t};if(a.isIntegralDxBoundarySingle(r))return r.role="integral",{integrand:e,intvar:r,rest:t.slice(1)};if(t[1]&&a.isIntegralDxBoundary(r,t[1])){const n=c.getInstance().prefixNode_(t[1],[r]);return n.role="integral",{integrand:e,intvar:n,rest:t.slice(2)}}return e.push(t.shift()),c.getInstance().getIntegralArgs_(t,e)}functionNode_(t,e){const r=c.getInstance().factory_.makeContentNode(o.functionApplication()),n=c.getInstance().funcAppls[t.id];n&&(r.mathmlTree=n.mathmlTree,r.mathml=n.mathml,r.annotation=n.annotation,r.attributes=n.attributes,delete c.getInstance().funcAppls[t.id]),r.type="punctuation",r.role="application";const i=c.getFunctionOp_(t,(function(t){return a.isType(t,"function")||a.isType(t,"identifier")&&a.isRole(t,"simple function")}));return c.getInstance().functionalNode_("appl",[t,e],i,[r])}bigOpNode_(t,e){const r=c.getFunctionOp_(t,(t=>a.isType(t,"largeop")));return c.getInstance().functionalNode_("bigop",[t,e],r,[])}integralNode_(t,e,r){e=e||c.getInstance().factory_.makeEmptyNode(),r=r||c.getInstance().factory_.makeEmptyNode();const n=c.getFunctionOp_(t,(t=>a.isType(t,"largeop")));return c.getInstance().functionalNode_("integral",[t,e,r],n,[])}functionalNode_(t,e,r,n){const o=e[0];let i;r&&(i=r.parent,n.push(r));const s=c.getInstance().factory_.makeBranchNode(t,e,n);return s.role=o.role,i&&(r.parent=i),s}fractionNode_(t,e){const r=c.getInstance().factory_.makeBranchNode("fraction",[t,e],[]);return r.role=r.childNodes.every((function(t){return a.isType(t,"number")&&a.isRole(t,"integer")}))?"vulgar":r.childNodes.every(a.isPureUnit)?"unit":"division",i.run("propagateSimpleFunction",r)}scriptNode_(t,e,r){let n;switch(t.length){case 0:n=c.getInstance().factory_.makeEmptyNode();break;case 1:if(n=t[0],r)return n;break;default:n=c.getInstance().dummyNode_(t)}return n.role=e,n}findNestedRow_(t,e,r,o){if(r>3)return null;for(let i,s=0;i=t[s];s++){const t=n.tagName(i);if("MSPACE"!==t){if("MROW"===t)return c.getInstance().findNestedRow_(n.toArray(i.childNodes),e,r+1,o);if(c.findSemantics(i,e,o))return i}}return null}}e.default=c,c.FENCE_TO_PUNCT_={metric:"metric",neutral:"vbar",open:"openfence",close:"closefence"},c.MML_TO_LIMIT_={MSUB:{type:"limlower",length:1},MUNDER:{type:"limlower",length:1},MSUP:{type:"limupper",length:1},MOVER:{type:"limupper",length:1},MSUBSUP:{type:"limboth",length:2},MUNDEROVER:{type:"limboth",length:2}},c.MML_TO_BOUNDS_={MSUB:{type:"subscript",length:1,accent:!1},MSUP:{type:"superscript",length:1,accent:!1},MSUBSUP:{type:"subscript",length:2,accent:!1},MUNDER:{type:"underscore",length:1,accent:!0},MOVER:{type:"overscore",length:1,accent:!0},MUNDEROVER:{type:"underscore",length:2,accent:!0}},c.CLASSIFY_FUNCTION_={integral:"integral",sum:"bigop","prefix function":"prefix","limit function":"prefix","simple function":"prefix","composed function":"prefix"},c.MATHJAX_FONTS={"-tex-caligraphic":"caligraphic","-tex-caligraphic-bold":"caligraphic-bold","-tex-calligraphic":"caligraphic","-tex-calligraphic-bold":"caligraphic-bold","-tex-oldstyle":"oldstyle","-tex-oldstyle-bold":"oldstyle-bold","-tex-mathit":"italic"}},5656:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticSkeleton=void 0;const n=r(707),o=r(5274),i=r(2298);class s{constructor(t){this.parents=null,this.levelsMap=null,t=0===t?t:t||[],this.array=t}static fromTree(t){return s.fromNode(t.root)}static fromNode(t){return new s(s.fromNode_(t))}static fromString(t){return new s(s.fromString_(t))}static simpleCollapseStructure(t){return"number"==typeof t}static contentCollapseStructure(t){return!!t&&!s.simpleCollapseStructure(t)&&"c"===t[0]}static interleaveIds(t,e){return n.interleaveLists(s.collapsedLeafs(t),s.collapsedLeafs(e))}static collapsedLeafs(...t){return t.reduce(((t,e)=>{return t.concat((r=e,s.simpleCollapseStructure(r)?[r]:(r=r,s.contentCollapseStructure(r[1])?r.slice(2):r.slice(1))));var r}),[])}static fromStructure(t,e){return new s(s.tree_(t,e.root))}static combineContentChildren(t,e,r){switch(t.type){case"relseq":case"infixop":case"multirel":return n.interleaveLists(r,e);case"prefixop":return e.concat(r);case"postfixop":return r.concat(e);case"fenced":return r.unshift(e[0]),r.push(e[1]),r;case"appl":return[r[0],e[0],r[1]];case"root":return[r[1],r[0]];case"row":case"line":return e.length&&r.unshift(e[0]),r;default:return r}}static makeSexp_(t){return s.simpleCollapseStructure(t)?t.toString():s.contentCollapseStructure(t)?"(c "+t.slice(1).map(s.makeSexp_).join(" ")+")":"("+t.map(s.makeSexp_).join(" ")+")"}static fromString_(t){let e=t.replace(/\(/g,"[");return e=e.replace(/\)/g,"]"),e=e.replace(/ /g,","),e=e.replace(/c/g,'"c"'),JSON.parse(e)}static fromNode_(t){if(!t)return[];const e=t.contentNodes;let r;e.length&&(r=e.map(s.fromNode_),r.unshift("c"));const n=t.childNodes;if(!n.length)return e.length?[t.id,r]:t.id;const o=n.map(s.fromNode_);return e.length&&o.unshift(r),o.unshift(t.id),o}static tree_(t,e){if(!e)return[];if(!e.childNodes.length)return e.id;const r=e.id,n=[r],a=o.evalXPath(`.//self::*[@${i.Attribute.ID}=${r}]`,t)[0],l=s.combineContentChildren(e,e.contentNodes.map((function(t){return t})),e.childNodes.map((function(t){return t})));a&&s.addOwns_(a,l);for(let e,r=0;e=l[r];r++)n.push(s.tree_(t,e));return n}static addOwns_(t,e){const r=t.getAttribute(i.Attribute.COLLAPSED),n=r?s.realLeafs_(s.fromString(r).array):e.map((t=>t.id));t.setAttribute(i.Attribute.OWNS,n.join(" "))}static realLeafs_(t){if(s.simpleCollapseStructure(t))return[t];if(s.contentCollapseStructure(t))return[];t=t;let e=[];for(let r=1;r<t.length;r++)e=e.concat(s.realLeafs_(t[r]));return e}populate(){this.parents&&this.levelsMap||(this.parents={},this.levelsMap={},this.populate_(this.array,this.array,[]))}toString(){return s.makeSexp_(this.array)}populate_(t,e,r){if(s.simpleCollapseStructure(t))return t=t,this.levelsMap[t]=e,void(this.parents[t]=t===r[0]?r.slice(1):r);const n=s.contentCollapseStructure(t)?t.slice(1):t,o=[n[0]].concat(r);for(let e=0,r=n.length;e<r;e++){const r=n[e];this.populate_(r,t,o)}}isRoot(t){return t===this.levelsMap[t][0]}directChildren(t){if(!this.isRoot(t))return[];return this.levelsMap[t].slice(1).map((t=>s.simpleCollapseStructure(t)?t:s.contentCollapseStructure(t)?t[1]:t[0]))}subtreeNodes(t){if(!this.isRoot(t))return[];const e=(t,r)=>{s.simpleCollapseStructure(t)?r.push(t):(t=t,s.contentCollapseStructure(t)&&(t=t.slice(1)),t.forEach((t=>e(t,r))))},r=this.levelsMap[t],n=[];return e(r.slice(1),n),n}}e.SemanticSkeleton=s},7075:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticTree=void 0;const n=r(5740),o=r(7630),i=r(9265),s=r(7228),a=r(5952),l=r(5609);r(94);class c{constructor(t){this.mathml=t,this.parser=new s.SemanticMathml,this.root=this.parser.parse(t),this.collator=this.parser.getFactory().leafMap.collateMeaning();const e=this.collator.newDefault();e&&(this.parser=new s.SemanticMathml,this.parser.getFactory().defaultMap=e,this.root=this.parser.parse(t)),u.visit(this.root,{}),(0,o.annotate)(this.root)}static empty(){const t=n.parseInput("<math/>"),e=new c(t);return e.mathml=t,e}static fromNode(t,e){const r=c.empty();return r.root=t,e&&(r.mathml=e),r}static fromRoot(t,e){let r=t;for(;r.parent;)r=r.parent;const n=c.fromNode(r);return e&&(n.mathml=e),n}static fromXml(t){const e=c.empty();return t.childNodes[0]&&(e.root=a.SemanticNode.fromXml(t.childNodes[0])),e}xml(t){const e=n.parseInput("<stree></stree>"),r=this.root.xml(e.ownerDocument,t);return e.appendChild(r),e}toString(t){return n.serializeXml(this.xml(t))}formatXml(t){const e=this.toString(t);return n.formatXml(e)}displayTree(){this.root.displayTree()}replaceNode(t,e){const r=t.parent;r?r.replaceChild(t,e):this.root=e}toJson(){const t={};return t.stree=this.root.toJson(),t}}e.SemanticTree=c;const u=new i.SemanticVisitor("general","unit",((t,e)=>{if("infixop"===t.type&&("multiplication"===t.role||"implicit"===t.role)){const e=t.childNodes;e.length&&(l.isPureUnit(e[0])||l.isUnitCounter(e[0]))&&t.childNodes.slice(1).every(l.isPureUnit)&&(t.role="unit")}return!1}))},4795:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.partitionNodes=e.sliceNodes=e.getEmbellishedInner=e.addAttributes=e.isZeroLength=e.purgeNodes=e.isOrphanedGlyph=e.hasDisplayTag=e.hasEmptyTag=e.hasIgnoreTag=e.hasLeafTag=e.hasMathTag=e.directSpeechKeys=e.DISPLAYTAGS=e.EMPTYTAGS=e.IGNORETAGS=e.LEAFTAGS=void 0;const n=r(5740);function o(t){return!!t&&-1!==e.LEAFTAGS.indexOf(n.tagName(t))}function i(t,e,r){r&&t.reverse();const n=[];for(let o,i=0;o=t[i];i++){if(e(o))return r?{head:t.slice(i+1).reverse(),div:o,tail:n.reverse()}:{head:n,div:o,tail:t.slice(i+1)};n.push(o)}return r?{head:[],div:null,tail:n.reverse()}:{head:n,div:null,tail:[]}}e.LEAFTAGS=["MO","MI","MN","MTEXT","MS","MSPACE"],e.IGNORETAGS=["MERROR","MPHANTOM","MALIGNGROUP","MALIGNMARK","MPRESCRIPTS","ANNOTATION","ANNOTATION-XML"],e.EMPTYTAGS=["MATH","MROW","MPADDED","MACTION","NONE","MSTYLE","SEMANTICS"],e.DISPLAYTAGS=["MROOT","MSQRT"],e.directSpeechKeys=["aria-label","exact-speech","alt"],e.hasMathTag=function(t){return!!t&&"MATH"===n.tagName(t)},e.hasLeafTag=o,e.hasIgnoreTag=function(t){return!!t&&-1!==e.IGNORETAGS.indexOf(n.tagName(t))},e.hasEmptyTag=function(t){return!!t&&-1!==e.EMPTYTAGS.indexOf(n.tagName(t))},e.hasDisplayTag=function(t){return!!t&&-1!==e.DISPLAYTAGS.indexOf(n.tagName(t))},e.isOrphanedGlyph=function(t){return!!t&&"MGLYPH"===n.tagName(t)&&!o(t.parentNode)},e.purgeNodes=function(t){const r=[];for(let o,i=0;o=t[i];i++){if(o.nodeType!==n.NodeType.ELEMENT_NODE)continue;const t=n.tagName(o);-1===e.IGNORETAGS.indexOf(t)&&(-1!==e.EMPTYTAGS.indexOf(t)&&0===o.childNodes.length||r.push(o))}return r},e.isZeroLength=function(t){if(!t)return!1;if(-1!==["negativeveryverythinmathspace","negativeverythinmathspace","negativethinmathspace","negativemediummathspace","negativethickmathspace","negativeverythickmathspace","negativeveryverythickmathspace"].indexOf(t))return!0;const e=t.match(/[0-9.]+/);return!!e&&0===parseFloat(e[0])},e.addAttributes=function(t,r){if(r.hasAttributes()){const n=r.attributes;for(let r=n.length-1;r>=0;r--){const o=n[r].name;o.match(/^ext/)&&(t.attributes[o]=n[r].value,t.nobreaking=!0),-1!==e.directSpeechKeys.indexOf(o)&&(t.attributes["ext-speech"]=n[r].value,t.nobreaking=!0),o.match(/texclass$/)&&(t.attributes.texclass=n[r].value),"href"===o&&(t.attributes.href=n[r].value,t.nobreaking=!0)}}},e.getEmbellishedInner=function t(e){return e&&e.embellished&&e.childNodes.length>0?t(e.childNodes[0]):e},e.sliceNodes=i,e.partitionNodes=function(t,e){let r=t;const n=[],o=[];let s=null;do{s=i(r,e),o.push(s.head),n.push(s.div),r=s.tail}while(s.div);return n.pop(),{rel:n,comp:o}}},6278:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.AbstractSpeechGenerator=void 0;const n=r(6828),o=r(2298),i=r(1214),s=r(9543);e.AbstractSpeechGenerator=class{constructor(){this.modality=o.addPrefix("speech"),this.rebuilt_=null,this.options_={}}getRebuilt(){return this.rebuilt_}setRebuilt(t){this.rebuilt_=t}setOptions(t){this.options_=t||{},this.modality=o.addPrefix(this.options_.modality||"speech")}getOptions(){return this.options_}start(){}end(){}generateSpeech(t,e){return this.rebuilt_||(this.rebuilt_=new i.RebuildStree(e)),(0,n.setup)(this.options_),s.computeMarkup(this.getRebuilt().xml)}}},1452:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.AdhocSpeechGenerator=void 0;const n=r(6278);class o extends n.AbstractSpeechGenerator{getSpeech(t,e){const r=this.generateSpeech(t,e);return t.setAttribute(this.modality,r),r}}e.AdhocSpeechGenerator=o},5152:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.ColorGenerator=void 0;const n=r(2298),o=r(8396),i=r(1214),s=r(1204),a=r(6278);class l extends a.AbstractSpeechGenerator{constructor(){super(...arguments),this.modality=(0,n.addPrefix)("foreground"),this.contrast=new o.ContrastPicker}static visitStree_(t,e,r){if(t.childNodes.length){if(t.contentNodes.length&&("punctuated"===t.type&&t.contentNodes.forEach((t=>r[t.id]=!0)),"implicit"!==t.role&&e.push(t.contentNodes.map((t=>t.id)))),t.childNodes.length){if("implicit"===t.role){const n=[];let o=[];for(const e of t.childNodes){const t=[];l.visitStree_(e,t,r),t.length<=2&&n.push(t.shift()),o=o.concat(t)}return e.push(n),void o.forEach((t=>e.push(t)))}t.childNodes.forEach((t=>l.visitStree_(t,e,r)))}}else r[t.id]||e.push(t.id)}getSpeech(t,e){return s.getAttribute(t,this.modality)}generateSpeech(t,e){return this.getRebuilt()||this.setRebuilt(new i.RebuildStree(t)),this.colorLeaves_(t),s.getAttribute(t,this.modality)}colorLeaves_(t){const e=[];l.visitStree_(this.getRebuilt().streeRoot,e,{});for(const r of e){const e=this.contrast.generate();let n=!1;n=Array.isArray(r)?r.map((r=>this.colorLeave_(t,r,e))).reduce(((t,e)=>t||e),!1):this.colorLeave_(t,r.toString(),e),n&&this.contrast.increment()}}colorLeave_(t,e,r){const n=s.getBySemanticId(t,e);return!!n&&(n.setAttribute(this.modality,r),!0)}}e.ColorGenerator=l},6604:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.DirectSpeechGenerator=void 0;const n=r(1204),o=r(6278);class i extends o.AbstractSpeechGenerator{getSpeech(t,e){return n.getAttribute(t,this.modality)}}e.DirectSpeechGenerator=i},3123:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.DummySpeechGenerator=void 0;const n=r(6278);class o extends n.AbstractSpeechGenerator{getSpeech(t,e){return""}}e.DummySpeechGenerator=o},5858:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.NodeSpeechGenerator=void 0;const n=r(1204),o=r(4598);class i extends o.TreeSpeechGenerator{getSpeech(t,e){return super.getSpeech(t,e),n.getAttribute(t,this.modality)}}e.NodeSpeechGenerator=i},9552:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.generatorMapping_=e.generator=void 0;const n=r(1452),o=r(5152),i=r(6604),s=r(3123),a=r(5858),l=r(597),c=r(4598);e.generator=function(t){return(e.generatorMapping_[t]||e.generatorMapping_.Direct)()},e.generatorMapping_={Adhoc:()=>new n.AdhocSpeechGenerator,Color:()=>new o.ColorGenerator,Direct:()=>new i.DirectSpeechGenerator,Dummy:()=>new s.DummySpeechGenerator,Node:()=>new a.NodeSpeechGenerator,Summary:()=>new l.SummarySpeechGenerator,Tree:()=>new c.TreeSpeechGenerator}},9543:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.computeSummary_=e.retrieveSummary=e.connectAllMactions=e.connectMactions=e.nodeAtPosition_=e.computePrefix_=e.retrievePrefix=e.addPrefix=e.addModality=e.addSpeech=e.recomputeMarkup=e.computeMarkup=e.recomputeSpeech=e.computeSpeech=void 0;const n=r(8290),o=r(5740),i=r(5274),s=r(2298),a=r(2362),l=r(7075),c=r(1204);function u(t){return a.SpeechRuleEngine.getInstance().evaluateNode(t)}function p(t){return u(l.SemanticTree.fromNode(t).xml())}function h(t){const e=p(t);return n.markup(e)}function f(t){const e=d(t);return n.markup(e)}function d(t){const e=l.SemanticTree.fromRoot(t),r=i.evalXPath('.//*[@id="'+t.id+'"]',e.xml());let n=r[0];return r.length>1&&(n=m(t,r)||n),n?a.SpeechRuleEngine.getInstance().runInSetting({modality:"prefix",domain:"default",style:"default",strict:!0,speech:!0},(function(){return a.SpeechRuleEngine.getInstance().evaluateNode(n)})):[]}function m(t,e){const r=e[0];if(!t.parent)return r;const n=[];for(;t;)n.push(t.id),t=t.parent;const o=function(t,e){for(;e.length&&e.shift().toString()===t.getAttribute("id")&&t.parentNode&&t.parentNode.parentNode;)t=t.parentNode.parentNode;return!e.length};for(let t,r=0;t=e[r];r++)if(o(t,n.slice()))return t;return r}function y(t){return t?a.SpeechRuleEngine.getInstance().runInSetting({modality:"summary",strict:!1,speech:!0},(function(){return a.SpeechRuleEngine.getInstance().evaluateNode(t)})):[]}e.computeSpeech=u,e.recomputeSpeech=p,e.computeMarkup=function(t){const e=u(t);return n.markup(e)},e.recomputeMarkup=h,e.addSpeech=function(t,e,r){const i=o.querySelectorAllByAttrValue(r,"id",e.id.toString())[0],a=i?n.markup(u(i)):h(e);t.setAttribute(s.Attribute.SPEECH,a)},e.addModality=function(t,e,r){const n=h(e);t.setAttribute(r,n)},e.addPrefix=function(t,e){const r=f(e);r&&t.setAttribute(s.Attribute.PREFIX,r)},e.retrievePrefix=f,e.computePrefix_=d,e.nodeAtPosition_=m,e.connectMactions=function(t,e,r){const n=o.querySelectorAll(e,"maction");for(let e,i=0;e=n[i];i++){const n=e.getAttribute("id"),i=o.querySelectorAllByAttrValue(t,"id",n)[0];if(!i)continue;const a=e.childNodes[1],l=a.getAttribute(s.Attribute.ID);let u=c.getBySemanticId(t,l);if(u&&"dummy"!==u.getAttribute(s.Attribute.TYPE))continue;if(u=i.childNodes[0],u.getAttribute("sre-highlighter-added"))continue;const p=a.getAttribute(s.Attribute.PARENT);p&&u.setAttribute(s.Attribute.PARENT,p),u.setAttribute(s.Attribute.TYPE,"dummy"),u.setAttribute(s.Attribute.ID,l);o.querySelectorAllByAttrValue(r,"id",l)[0].setAttribute("alternative",l)}},e.connectAllMactions=function(t,e){const r=o.querySelectorAll(t,"maction");for(let t,n=0;t=r[n];n++){const r=t.childNodes[1].getAttribute(s.Attribute.ID);o.querySelectorAllByAttrValue(e,"id",r)[0].setAttribute("alternative",r)}},e.retrieveSummary=function(t){const e=y(t);return n.markup(e)},e.computeSummary_=y},597:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SummarySpeechGenerator=void 0;const n=r(6278),o=r(9543);class i extends n.AbstractSpeechGenerator{getSpeech(t,e){return o.connectAllMactions(e,this.getRebuilt().xml),this.generateSpeech(t,e)}}e.SummarySpeechGenerator=i},4598:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.TreeSpeechGenerator=void 0;const n=r(2298),o=r(1204),i=r(6278),s=r(9543);class a extends i.AbstractSpeechGenerator{getSpeech(t,e){const r=this.generateSpeech(t,e),i=this.getRebuilt().nodeDict;for(const r in i){const a=i[r],l=o.getBySemanticId(e,r),c=o.getBySemanticId(t,r);l&&c&&(this.modality&&this.modality!==n.Attribute.SPEECH?s.addModality(c,a,this.modality):s.addSpeech(c,a,this.getRebuilt().xml),this.modality===n.Attribute.SPEECH&&s.addPrefix(c,a))}return r}}e.TreeSpeechGenerator=a},313:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.INTERVALS=e.makeLetter=e.numberRules=e.alphabetRules=e.getFont=e.makeInterval=e.generate=e.makeDomains_=e.Domains_=e.Base=e.Embellish=e.Font=void 0;const n=r(5897),o=r(7491),i=r(4356),s=r(2536),a=r(2780);var l,c,u;function p(){const t=i.LOCALE.ALPHABETS,r=(t,e)=>{const r={};return Object.keys(t).forEach((t=>r[t]=!0)),Object.keys(e).forEach((t=>r[t]=!0)),Object.keys(r)};e.Domains_.small=r(t.smallPrefix,t.letterTrans),e.Domains_.capital=r(t.capPrefix,t.letterTrans),e.Domains_.digit=r(t.digitPrefix,t.digitTrans)}function h(t){const e=t.toString(16).toUpperCase();return e.length>3?e:("000"+e).slice(-4)}function f([t,e],r){const n=parseInt(t,16),o=parseInt(e,16),i=[];for(let t=n;t<=o;t++){let e=h(t);!1!==r[e]&&(e=r[e]||e,i.push(e))}return i}function d(t){const e="normal"===t||"fullwidth"===t?"":i.LOCALE.MESSAGES.font[t]||i.LOCALE.MESSAGES.embellish[t]||"";return(0,s.localeFontCombiner)(e)}function m(t,r,n,o,s,a){const l=d(o);for(let o,c,u,p=0;o=t[p],c=r[p],u=n[p];p++){const t=a?i.LOCALE.ALPHABETS.capPrefix:i.LOCALE.ALPHABETS.smallPrefix,r=a?e.Domains_.capital:e.Domains_.small;g(l.combiner,o,c,u,l.font,t,s,i.LOCALE.ALPHABETS.letterTrans,r)}}function y(t,r,n,o,s){const a=d(n);for(let n,l,c=0;n=t[c],l=r[c];c++){const t=i.LOCALE.ALPHABETS.digitPrefix,r=c+s;g(a.combiner,n,l,r,a.font,t,o,i.LOCALE.ALPHABETS.digitTrans,e.Domains_.digit)}}function g(t,e,r,n,o,i,s,l,c){for(let u,p=0;u=c[p];p++){const c=u in l?l[u]:l.default,p=u in 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smartPreferences(t,e){const r=c.getLocalePreferences()[e];if(!r)return[];const n=t.explorers.speech,i=c.relevantPreferences(n.walker.getFocus().getSemanticPrimary()),s=o.DOMAIN_TO_STYLES.clearspeak;return[{type:"radio",content:"No Preferences",id:"clearspeak-default",variable:"speechRules"},{type:"radio",content:"Current Preferences",id:"clearspeak-"+s,variable:"speechRules"},{type:"rule"},{type:"label",content:"Preferences for "+i},{type:"rule"}].concat(r[i].map((function(t){const e=t.split("_");return{type:"radio",content:e[1],id:"clearspeak-"+c.addPreference(s,e[0],e[1]),variable:"speechRules"}})))}static relevantPreferences(t){const e=d[t.type];return e&&(e[t.role]||e[""])||"ImpliedTimes"}static findPreference(t,e){if("default"===t)return c.AUTO;return c.fromPreference(t)[e]||c.AUTO}static addPreference(t,e,r){if("default"===t)return e+"_"+r;const n=c.fromPreference(t);return n[e]=r,c.toPreference(n)}static getLocalePreferences_(t){const e={};for(const r in 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p extends s.DefaultComparator{constructor(t,e){super(t,e),this.preference=t instanceof c?t.preference:{}}match(t){if(!(t instanceof c))return super.match(t);if("default"===t.getComponents()[s.Axis.STYLE])return!0;const e=Object.keys(t.preference);for(let r,n=0;r=e[n];n++)if(this.preference[r]!==t.preference[r])return!1;return!0}compare(t,e){const r=super.compare(t,e);if(0!==r)return r;const n=t instanceof c,o=e instanceof c;if(!n&&o)return 1;if(n&&!o)return-1;if(!n&&!o)return 0;const i=Object.keys(t.preference).length,s=Object.keys(e.preference).length;return i>s?-1:i<s?1:0}}e.Comparator=p;class h extends s.DynamicCstrParser{constructor(){super([s.Axis.LOCALE,s.Axis.MODALITY,s.Axis.DOMAIN,s.Axis.STYLE])}parse(t){const e=super.parse(t);let r=e.getValue(s.Axis.STYLE);const n=e.getValue(s.Axis.LOCALE),o=e.getValue(s.Axis.MODALITY);let a={};return r!==i.DynamicCstr.DEFAULT_VALUE&&(a=this.fromPreference(r),r=this.toPreference(a)),new c({locale:n,modality:o,domain:"clearspeak",style:r},a)}fromPreference(t){return c.fromPreference(t)}toPreference(t){return c.toPreference(t)}}e.Parser=h;const f=[["AbsoluteValue","fenced","neutral","metric"],["Bar","overscore","overaccent"],["Caps","identifier","latinletter"],["CombinationPermutation","appl","unknown"],["Ellipses","punctuation","ellipsis"],["Exponent","superscript",""],["Fraction","fraction",""],["Functions","appl","simple function"],["ImpliedTimes","operator","implicit"],["Log","appl","prefix 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n=r(1676),o=r(365),i=r(9912),s=r(1378),a=r(8437),l=r(7283);e.ClearspeakRules=function(){l.addStore(n.DynamicCstr.BASE_LOCALE+".speech.clearspeak","",{CTFpauseSeparator:o.pauseSeparator,CTFnodeCounter:i.nodeCounter,CTFcontentIterator:o.contentIterator,CSFvulgarFraction:a.vulgarFraction,CQFvulgarFractionSmall:i.isSmallVulgarFraction,CQFcellsSimple:i.allCellsSimple,CSFordinalExponent:i.ordinalExponent,CSFwordOrdinal:i.wordOrdinal,CQFmatchingFences:i.matchingFences,CSFnestingDepth:i.nestingDepth,CQFfencedArguments:i.fencedArguments,CQFsimpleArguments:i.simpleArguments,CQFspaceoutNumber:s.spaceoutNumber})}},9912:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.wordOrdinal=e.layoutFactor_=e.fencedFactor_=e.simpleFactor_=e.simpleArguments=e.fencedArguments=e.insertNesting=e.matchingFences=e.nestingDepth=e.NESTING_DEPTH=e.ordinalExponent=e.allTextLastContent_=e.isUnitExpression=e.isSmallVulgarFraction=e.allCellsSimple=e.allIndices_=e.isInteger_=e.simpleCell_=e.simpleNode=e.hasPreference=e.isSimpleFraction_=e.isSimpleNumber_=e.isNumber_=e.isLetter_=e.isSimple_=e.isSimpleLetters_=e.isSimpleDegree_=e.isSimpleNegative_=e.isSimpleFunction_=e.isSimpleExpression=e.nodeCounter=void 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l.concat(c&&u&&"space"===a.getAttribute("role")?[n.AuditoryDescription.create({text:"\u2800"},{})]:[])}}},8437:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.ordinalPosition=e.vulgarFraction=e.wordCounter=e.ordinalCounter=void 0;const n=r(9536),o=r(5740),i=r(4356),s=r(4977);e.ordinalCounter=function(t,e){let r=0;return function(){return i.LOCALE.NUMBERS.numericOrdinal(++r)+" "+e}},e.wordCounter=function(t,e){let r=0;return function(){return i.LOCALE.NUMBERS.numberToOrdinal(++r,!1)+" "+e}},e.vulgarFraction=function(t){const e=(0,s.convertVulgarFraction)(t,i.LOCALE.MESSAGES.MS.FRAC_OVER);return e.convertible&&e.enumerator&&e.denominator?[new n.Span(i.LOCALE.NUMBERS.numberToWords(e.enumerator),{extid:t.childNodes[0].childNodes[0].getAttribute("extid"),separator:""}),new n.Span(i.LOCALE.NUMBERS.vulgarSep,{separator:""}),new n.Span(i.LOCALE.NUMBERS.numberToOrdinal(e.denominator,1!==e.enumerator),{extid:t.childNodes[0].childNodes[1].getAttribute("extid")})]:[new 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g.RebuildStree(this.getXml()),this.rootId=this.rebuilt_.stree.root.id.toString(),this.generator.setRebuilt(this.rebuilt_),this.skeleton=h.SemanticSkeleton.fromTree(this.rebuilt_.stree),this.skeleton.populate(),this.focus_=this.singletonFocus(this.rootId),this.levels=this.initLevels(),d.connectMactions(this.node,this.getXml(),this.rebuilt_.xml)}previousLevel(){const t=this.getFocus().getDomPrimary();return t?v.getAttribute(t,c.Attribute.PARENT):this.getFocus().getSemanticPrimary().parent.id.toString()}nextLevel(){const t=this.getFocus().getDomPrimary();let e,r;if(t){e=v.splitAttribute(v.getAttribute(t,c.Attribute.CHILDREN)),r=v.splitAttribute(v.getAttribute(t,c.Attribute.CONTENT));const n=v.getAttribute(t,c.Attribute.TYPE),o=v.getAttribute(t,c.Attribute.ROLE);return this.combineContentChildren(n,o,r,e)}const n=t=>t.id.toString(),o=this.getRebuilt().nodeDict[this.primaryId()];return e=o.childNodes.map(n),r=o.contentNodes.map(n),0===e.length?[]:this.combineContentChildren(o.type,o.role,r,e)}singletonFocus(t){this.getRebuilt();const e=this.retrieveVisuals(t);return this.focusFromId(t,e)}retrieveVisuals(t){if(!this.skeleton)return[t];const e=parseInt(t,10),r=this.skeleton.subtreeNodes(e);if(!r.length)return[t];r.unshift(e);const n={},o=[];_.updateEvaluator(this.getXml());for(const t of r)n[t]||(o.push(t.toString()),n[t]=!0,this.subtreeIds(t,n));return o}subtreeIds(t,e){const r=_.evalXPath(`//*[@data-semantic-id="${t}"]`,this.getXml());_.evalXPath("*//@data-semantic-id",r[0]).forEach((t=>e[parseInt(t.textContent,10)]=!0))}focusFromId(t,e){return y.Focus.factory(t,e,this.getRebuilt(),this.node)}summary(){return this.moved=this.isSpeech()?b.WalkerMoves.SUMMARY:b.WalkerMoves.REPEAT,this.getFocus().clone()}detail(){return this.moved=this.isSpeech()?b.WalkerMoves.DETAIL:b.WalkerMoves.REPEAT,this.getFocus().clone()}specialMove(){return null}virtualize(t){return this.cursors.push({focus:this.getFocus(),levels:this.levels,undo:t||!this.cursors.length}),this.levels=this.levels.clone(),this.getFocus().clone()}previous(){const t=this.cursors.pop();return t?(this.levels=t.levels,t.focus):this.getFocus()}undo(){let t;do{t=this.cursors.pop()}while(t&&!t.undo);return t?(this.levels=t.levels,t.focus):this.getFocus()}update(t){this.generator.setOptions(t),(0,a.setup)(t).then((()=>f.generator("Tree").getSpeech(this.node,this.getXml())))}nextRules(){const t=this.generator.getOptions();return"speech"!==t.modality?this.getFocus():(s.DOMAIN_TO_STYLES[t.domain]=t.style,t.domain="mathspeak"===t.domain?"clearspeak":"mathspeak",t.style=s.DOMAIN_TO_STYLES[t.domain],this.update(t),this.moved=b.WalkerMoves.REPEAT,this.getFocus().clone())}nextStyle(t,e){if("mathspeak"===t){const t=["default","brief","sbrief"],r=t.indexOf(e);return-1===r?e:r>=t.length-1?t[0]:t[r+1]}if("clearspeak"===t){const t=m.ClearspeakPreferences.getLocalePreferences().en;if(!t)return"default";const r=m.ClearspeakPreferences.relevantPreferences(this.getFocus().getSemanticPrimary()),n=m.ClearspeakPreferences.findPreference(e,r),o=t[r].map((function(t){return t.split("_")[1]})),i=o.indexOf(n);if(-1===i)return e;const s=i>=o.length-1?o[0]:o[i+1];return m.ClearspeakPreferences.addPreference(e,r,s)}return e}previousRules(){const t=this.generator.getOptions();return"speech"!==t.modality?this.getFocus():(t.style=this.nextStyle(t.domain,t.style),this.update(t),this.moved=b.WalkerMoves.REPEAT,this.getFocus().clone())}refocus(){let t,e=this.getFocus();for(;!e.getNodes().length;){t=this.levels.peek();const r=this.up();if(!r)break;this.setFocus(r),e=this.getFocus(!0)}this.levels.push(t),this.setFocus(e)}toggleActive_(){this.active_=!this.active_}mergePrefix_(t,e=[]){const r=this.isSpeech()?this.prefix_():"";r&&t.unshift(r);const n=this.isSpeech()?this.postfix_():"";return n&&t.push(n),o.finalize(o.merge(e.concat(t)))}prefix_(){const t=this.getFocus().getDomNodes(),e=this.getFocus().getSemanticNodes();return t[0]?v.getAttribute(t[0],c.Attribute.PREFIX):d.retrievePrefix(e[0])}postfix_(){const t=this.getFocus().getDomNodes();return t[0]?v.getAttribute(t[0],c.Attribute.POSTFIX):""}depth_(){const t=p.Grammar.getInstance().getParameter("depth");p.Grammar.getInstance().setParameter("depth",!0);const e=this.getFocus().getDomPrimary(),r=this.expandable(e)?u.LOCALE.MESSAGES.navigate.EXPANDABLE:this.collapsible(e)?u.LOCALE.MESSAGES.navigate.COLLAPSIBLE:"",i=u.LOCALE.MESSAGES.navigate.LEVEL+" "+this.getDepth(),s=this.getFocus().getSemanticNodes(),a=d.retrievePrefix(s[0]),l=[new n.AuditoryDescription({text:i,personality:{}}),new n.AuditoryDescription({text:a,personality:{}}),new n.AuditoryDescription({text:r,personality:{}})];return p.Grammar.getInstance().setParameter("depth",t),o.finalize(o.markup(l))}actionable_(t){const e=null==t?void 0:t.parentNode;return e&&this.highlighter.isMactionNode(e)?e:null}summary_(){const t=this.getFocus().getSemanticPrimary().id.toString(),e=this.getRebuilt().xml.getAttribute("id")===t?this.getRebuilt().xml:i.querySelectorAllByAttrValue(this.getRebuilt().xml,"id",t)[0],r=d.retrieveSummary(e);return this.mergePrefix_([r])}detail_(){const t=this.getFocus().getSemanticPrimary().id.toString(),e=this.getRebuilt().xml.getAttribute("id")===t?this.getRebuilt().xml:i.querySelectorAllByAttrValue(this.getRebuilt().xml,"id",t)[0],r=e.getAttribute("alternative");e.removeAttribute("alternative");const n=d.computeMarkup(e),o=this.mergePrefix_([n]);return e.setAttribute("alternative",r),o}}e.AbstractWalker=S,S.ID_COUNTER=0,S.SRE_ID_ATTR="sre-explorer-id"},162:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.DummyWalker=void 0;const n=r(3284);class o extends n.AbstractWalker{up(){return null}down(){return null}left(){return null}right(){return null}repeat(){return null}depth(){return null}home(){return null}getDepth(){return 0}initLevels(){return null}combineContentChildren(t,e,r,n){return[]}findFocusOnLevel(t){return null}}e.DummyWalker=o},7730:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.Focus=void 0;const n=r(1204);class o{constructor(t,e){this.nodes=t,this.primary=e,this.domNodes=[],this.domPrimary_=null,this.allNodes=[]}static factory(t,e,r,i){const s=t=>n.getBySemanticId(i,t),a=r.nodeDict,l=s(t),c=e.map(s),u=e.map((function(t){return a[t]})),p=new o(u,a[t]);return p.domNodes=c,p.domPrimary_=l,p.allNodes=o.generateAllVisibleNodes_(e,c,a,i),p}static generateAllVisibleNodes_(t,e,r,i){const s=t=>n.getBySemanticId(i,t);let a=[];for(let n=0,l=t.length;n<l;n++){if(e[n]){a.push(e[n]);continue}const l=r[t[n]];if(!l)continue;const c=l.childNodes.map((function(t){return t.id.toString()})),u=c.map(s);a=a.concat(o.generateAllVisibleNodes_(c,u,r,i))}return a}getSemanticPrimary(){return this.primary}getSemanticNodes(){return this.nodes}getNodes(){return this.allNodes}getDomNodes(){return this.domNodes}getDomPrimary(){return this.domPrimary_}toString(){return"Primary:"+this.domPrimary_+" Nodes:"+this.domNodes}clone(){const t=new o(this.nodes,this.primary);return t.domNodes=this.domNodes,t.domPrimary_=this.domPrimary_,t.allNodes=this.allNodes,t}}e.Focus=o},9797:function(t,e){Object.defineProperty(e,"__esModule",{value:!0}),e.Levels=void 0;class r{constructor(){this.level_=[]}push(t){this.level_.push(t)}pop(){return this.level_.pop()}peek(){return this.level_[this.level_.length-1]||null}indexOf(t){const e=this.peek();return e?e.indexOf(t):null}find(t){const e=this.peek();if(!e)return null;for(let r=0,n=e.length;r<n;r++)if(t(e[r]))return e[r];return null}get(t){const e=this.peek();return!e||t<0||t>=e.length?null:e[t]}depth(){return this.level_.length}clone(){const t=new r;return t.level_=this.level_.slice(0),t}toString(){let t="";for(let e,r=0;e=this.level_[r];r++)t+="\n"+e.map((function(t){return t.toString()}));return t}}e.Levels=r},1214:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.RebuildStree=void 0;const n=r(5740),o=r(2298),i=r(3588),s=r(6537),a=r(3308),l=r(5656),c=r(7075),u=r(4795),p=r(1204);class h{constructor(t){this.mathml=t,this.factory=new s.SemanticNodeFactory,this.nodeDict={},this.mmlRoot=p.getSemanticRoot(t),this.streeRoot=this.assembleTree(this.mmlRoot),this.stree=c.SemanticTree.fromNode(this.streeRoot,this.mathml),this.xml=this.stree.xml(),a.default.getInstance().setNodeFactory(this.factory)}static addAttributes(t,e,r){r&&1===e.childNodes.length&&e.childNodes[0].nodeType!==n.NodeType.TEXT_NODE&&u.addAttributes(t,e.childNodes[0]),u.addAttributes(t,e)}static textContent(t,e,r){if(!r&&e.textContent)return void(t.textContent=e.textContent);const n=p.splitAttribute(p.getAttribute(e,o.Attribute.OPERATOR));n.length>1&&(t.textContent=n[1])}static isPunctuated(t){return!l.SemanticSkeleton.simpleCollapseStructure(t)&&t[1]&&l.SemanticSkeleton.contentCollapseStructure(t[1])}getTree(){return this.stree}assembleTree(t){const e=this.makeNode(t),r=p.splitAttribute(p.getAttribute(t,o.Attribute.CHILDREN)),n=p.splitAttribute(p.getAttribute(t,o.Attribute.CONTENT));if(h.addAttributes(e,t,!(r.length||n.length)),0===n.length&&0===r.length)return h.textContent(e,t),e;if(n.length>0){const t=p.getBySemanticId(this.mathml,n[0]);t&&h.textContent(e,t,!0)}e.contentNodes=n.map((t=>this.setParent(t,e))),e.childNodes=r.map((t=>this.setParent(t,e)));const i=p.getAttribute(t,o.Attribute.COLLAPSED);return i?this.postProcess(e,i):e}makeNode(t){const e=p.getAttribute(t,o.Attribute.TYPE),r=p.getAttribute(t,o.Attribute.ROLE),n=p.getAttribute(t,o.Attribute.FONT),i=p.getAttribute(t,o.Attribute.ANNOTATION)||"",s=p.getAttribute(t,o.Attribute.ID),a=p.getAttribute(t,o.Attribute.EMBELLISHED),l=p.getAttribute(t,o.Attribute.FENCEPOINTER),c=this.createNode(parseInt(s,10));return c.type=e,c.role=r,c.font=n||"unknown",c.parseAnnotation(i),l&&(c.fencePointer=l),a&&(c.embellished=a),c}makePunctuation(t){const e=this.createNode(t);return e.updateContent((0,i.invisibleComma)()),e.role="dummy",e}makePunctuated(t,e,r){const n=this.createNode(e[0]);n.type="punctuated",n.embellished=t.embellished,n.fencePointer=t.fencePointer,n.role=r;const o=e.splice(1,1)[0].slice(1);n.contentNodes=o.map(this.makePunctuation.bind(this)),this.collapsedChildren_(e)}makeEmpty(t,e,r){const n=this.createNode(e);n.type="empty",n.embellished=t.embellished,n.fencePointer=t.fencePointer,n.role=r}makeIndex(t,e,r){if(h.isPunctuated(e))return this.makePunctuated(t,e,r),void(e=e[0]);l.SemanticSkeleton.simpleCollapseStructure(e)&&!this.nodeDict[e.toString()]&&this.makeEmpty(t,e,r)}postProcess(t,e){const r=l.SemanticSkeleton.fromString(e).array;if("subsup"===t.type){const e=this.createNode(r[1][0]);return e.type="subscript",e.role="subsup",t.type="superscript",e.embellished=t.embellished,e.fencePointer=t.fencePointer,this.makeIndex(t,r[1][2],"rightsub"),this.makeIndex(t,r[2],"rightsuper"),this.collapsedChildren_(r),t}if("subscript"===t.type)return this.makeIndex(t,r[2],"rightsub"),this.collapsedChildren_(r),t;if("superscript"===t.type)return this.makeIndex(t,r[2],"rightsuper"),this.collapsedChildren_(r),t;if("tensor"===t.type)return this.makeIndex(t,r[2],"leftsub"),this.makeIndex(t,r[3],"leftsuper"),this.makeIndex(t,r[4],"rightsub"),this.makeIndex(t,r[5],"rightsuper"),this.collapsedChildren_(r),t;if("punctuated"===t.type){if(h.isPunctuated(r)){const e=r.splice(1,1)[0].slice(1);t.contentNodes=e.map(this.makePunctuation.bind(this))}return t}if("underover"===t.type){const e=this.createNode(r[1][0]);return"overaccent"===t.childNodes[1].role?(e.type="overscore",t.type="underscore"):(e.type="underscore",t.type="overscore"),e.role="underover",e.embellished=t.embellished,e.fencePointer=t.fencePointer,this.collapsedChildren_(r),t}return t}createNode(t){const e=this.factory.makeNode(t);return this.nodeDict[t.toString()]=e,e}collapsedChildren_(t){const e=t=>{const r=this.nodeDict[t[0]];r.childNodes=[];for(let n=1,o=t.length;n<o;n++){const o=t[n];r.childNodes.push(l.SemanticSkeleton.simpleCollapseStructure(o)?this.nodeDict[o]:e(o))}return r};e(t)}setParent(t,e){const r=p.getBySemanticId(this.mathml,t),n=this.assembleTree(r);return n.parent=e,n}}e.RebuildStree=h},6295:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SemanticWalker=void 0;const n=r(3284),o=r(9797);class i extends n.AbstractWalker{constructor(t,e,r,n){super(t,e,r,n),this.node=t,this.generator=e,this.highlighter=r,this.levels=null,this.restoreState()}initLevels(){const t=new o.Levels;return t.push([this.getFocus()]),t}up(){super.up();const t=this.previousLevel();if(!t)return null;this.levels.pop();return this.levels.find((function(e){return e.getSemanticNodes().some((function(e){return e.id.toString()===t}))}))}down(){super.down();const t=this.nextLevel();return 0===t.length?null:(this.levels.push(t),t[0])}combineContentChildren(t,e,r,n){switch(t){case"relseq":case"infixop":case"multirel":return this.makePairList(n,r);case"prefixop":return[this.focusFromId(n[0],r.concat(n))];case"postfixop":return[this.focusFromId(n[0],n.concat(r))];case"matrix":case"vector":case"fenced":return[this.focusFromId(n[0],[r[0],n[0],r[1]])];case"cases":return[this.focusFromId(n[0],[r[0],n[0]])];case"punctuated":return"text"===e?n.map(this.singletonFocus.bind(this)):n.length===r.length?r.map(this.singletonFocus.bind(this)):this.combinePunctuations(n,r,[],[]);case"appl":return[this.focusFromId(n[0],[n[0],r[0]]),this.singletonFocus(n[1])];case"root":return[this.singletonFocus(n[1]),this.singletonFocus(n[0])];default:return n.map(this.singletonFocus.bind(this))}}combinePunctuations(t,e,r,n){if(0===t.length)return n;const o=t.shift(),i=e.shift();return o===i?(r.push(i),this.combinePunctuations(t,e,r,n)):(e.unshift(i),r.push(o),t.length===e.length?(n.push(this.focusFromId(o,r.concat(e))),n):(n.push(this.focusFromId(o,r)),this.combinePunctuations(t,e,[],n)))}makePairList(t,e){if(0===t.length)return[];if(1===t.length)return[this.singletonFocus(t[0])];const r=[this.singletonFocus(t.shift())];for(let n=0,o=t.length;n<o;n++)r.push(this.focusFromId(t[n],[e[n],t[n]]));return r}left(){super.left();const t=this.levels.indexOf(this.getFocus());if(null===t)return null;const e=this.levels.get(t-1);return e||null}right(){super.right();const t=this.levels.indexOf(this.getFocus());if(null===t)return null;const e=this.levels.get(t+1);return e||null}findFocusOnLevel(t){return this.levels.find((e=>e.getSemanticPrimary().id===t))}}e.SemanticWalker=i},9806:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.SyntaxWalker=void 0;const n=r(707),o=r(3284),i=r(9797);class s extends o.AbstractWalker{constructor(t,e,r,n){super(t,e,r,n),this.node=t,this.generator=e,this.highlighter=r,this.levels=null,this.restoreState()}initLevels(){const t=new i.Levels;return t.push([this.primaryId()]),t}up(){super.up();const t=this.previousLevel();return t?(this.levels.pop(),this.singletonFocus(t)):null}down(){super.down();const t=this.nextLevel();if(0===t.length)return null;const e=this.singletonFocus(t[0]);return e&&this.levels.push(t),e}combineContentChildren(t,e,r,o){switch(t){case"relseq":case"infixop":case"multirel":return(0,n.interleaveLists)(o,r);case"prefixop":return r.concat(o);case"postfixop":return o.concat(r);case"matrix":case"vector":case"fenced":return o.unshift(r[0]),o.push(r[1]),o;case"cases":return o.unshift(r[0]),o;case"punctuated":return"text"===e?(0,n.interleaveLists)(o,r):o;case"appl":return[o[0],r[0],o[1]];case"root":return[o[1],o[0]];default:return o}}left(){super.left();const t=this.levels.indexOf(this.primaryId());if(null===t)return null;const e=this.levels.get(t-1);return e?this.singletonFocus(e):null}right(){super.right();const t=this.levels.indexOf(this.primaryId());if(null===t)return null;const e=this.levels.get(t+1);return e?this.singletonFocus(e):null}findFocusOnLevel(t){return this.singletonFocus(t.toString())}focusDomNodes(){return[this.getFocus().getDomPrimary()]}focusSemanticNodes(){return[this.getFocus().getSemanticPrimary()]}}e.SyntaxWalker=s},1799:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.TableWalker=void 0;const n=r(5740),o=r(8496),i=r(9806),s=r(179);class a extends i.SyntaxWalker{constructor(t,e,r,n){super(t,e,r,n),this.node=t,this.generator=e,this.highlighter=r,this.firstJump=null,this.key_=null,this.row_=0,this.currentTable_=null,this.keyMapping.set(o.KeyCode.ZERO,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.ONE,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.TWO,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.THREE,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.FOUR,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.FIVE,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.SIX,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.SEVEN,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.EIGHT,this.jumpCell.bind(this)),this.keyMapping.set(o.KeyCode.NINE,this.jumpCell.bind(this))}move(t){this.key_=t;const e=super.move(t);return this.modifier=!1,e}up(){return this.moved=s.WalkerMoves.UP,this.eligibleCell_()?this.verticalMove_(!1):super.up()}down(){return this.moved=s.WalkerMoves.DOWN,this.eligibleCell_()?this.verticalMove_(!0):super.down()}jumpCell(){if(!this.isInTable_()||null===this.key_)return this.getFocus();if(this.moved===s.WalkerMoves.ROW){this.moved=s.WalkerMoves.CELL;const t=this.key_-o.KeyCode.ZERO;return this.isLegalJump_(this.row_,t)?this.jumpCell_(this.row_,t):this.getFocus()}const t=this.key_-o.KeyCode.ZERO;return t>this.currentTable_.childNodes.length?this.getFocus():(this.row_=t,this.moved=s.WalkerMoves.ROW,this.getFocus().clone())}undo(){const t=super.undo();return t===this.firstJump&&(this.firstJump=null),t}eligibleCell_(){const t=this.getFocus().getSemanticPrimary();return this.modifier&&"cell"===t.type&&-1!==a.ELIGIBLE_CELL_ROLES.indexOf(t.role)}verticalMove_(t){const e=this.previousLevel();if(!e)return null;const r=this.getFocus(),n=this.levels.indexOf(this.primaryId()),o=this.levels.pop(),i=this.levels.indexOf(e),s=this.levels.get(t?i+1:i-1);if(!s)return this.levels.push(o),null;this.setFocus(this.singletonFocus(s));const a=this.nextLevel();return a[n]?(this.levels.push(a),this.singletonFocus(a[n])):(this.setFocus(r),this.levels.push(o),null)}jumpCell_(t,e){this.firstJump?this.virtualize(!1):(this.firstJump=this.getFocus(),this.virtualize(!0));const r=this.currentTable_.id.toString();let n;do{n=this.levels.pop()}while(-1===n.indexOf(r));this.levels.push(n),this.setFocus(this.singletonFocus(r)),this.levels.push(this.nextLevel());const o=this.currentTable_.childNodes[t-1];return this.setFocus(this.singletonFocus(o.id.toString())),this.levels.push(this.nextLevel()),this.singletonFocus(o.childNodes[e-1].id.toString())}isLegalJump_(t,e){const r=n.querySelectorAllByAttrValue(this.getRebuilt().xml,"id",this.currentTable_.id.toString())[0];if(!r||r.hasAttribute("alternative"))return!1;const o=this.currentTable_.childNodes[t-1];if(!o)return!1;const i=n.querySelectorAllByAttrValue(r,"id",o.id.toString())[0];return!(!i||i.hasAttribute("alternative"))&&!(!o||!o.childNodes[e-1])}isInTable_(){let t=this.getFocus().getSemanticPrimary();for(;t;){if(-1!==a.ELIGIBLE_TABLE_TYPES.indexOf(t.type))return this.currentTable_=t,!0;t=t.parent}return!1}}e.TableWalker=a,a.ELIGIBLE_CELL_ROLES=["determinant","rowvector","binomial","squarematrix","multiline","matrix","vector","cases","table"],a.ELIGIBLE_TABLE_TYPES=["multiline","matrix","vector","cases","table"]},179:function(t,e){Object.defineProperty(e,"__esModule",{value:!0}),e.WalkerState=e.WalkerMoves=void 0,function(t){t.UP="up",t.DOWN="down",t.LEFT="left",t.RIGHT="right",t.REPEAT="repeat",t.DEPTH="depth",t.ENTER="enter",t.EXPAND="expand",t.HOME="home",t.SUMMARY="summary",t.DETAIL="detail",t.ROW="row",t.CELL="cell"}(e.WalkerMoves||(e.WalkerMoves={}));class r{static resetState(t){delete r.STATE[t]}static setState(t,e){r.STATE[t]=e}static getState(t){return r.STATE[t]}}e.WalkerState=r,r.STATE={}},3362:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.walkerMapping_=e.walker=void 0;const n=r(162),o=r(6295),i=r(9806),s=r(1799);e.walker=function(t,r,n,o,i){return(e.walkerMapping_[t.toLowerCase()]||e.walkerMapping_.dummy)(r,n,o,i)},e.walkerMapping_={dummy:(t,e,r,o)=>new n.DummyWalker(t,e,r,o),semantic:(t,e,r,n)=>new o.SemanticWalker(t,e,r,n),syntax:(t,e,r,n)=>new i.SyntaxWalker(t,e,r,n),table:(t,e,r,n)=>new s.TableWalker(t,e,r,n)}},1204:function(t,e,r){Object.defineProperty(e,"__esModule",{value:!0}),e.getBySemanticId=e.getSemanticRoot=e.getAttribute=e.splitAttribute=void 0;const n=r(5740),o=r(2298);e.splitAttribute=function(t){return t?t.split(/,/):[]},e.getAttribute=function(t,e){return t.getAttribute(e)},e.getSemanticRoot=function(t){if(t.hasAttribute(o.Attribute.TYPE)&&!t.hasAttribute(o.Attribute.PARENT))return t;const e=n.querySelectorAllByAttr(t,o.Attribute.TYPE);for(let 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diff --git a/AgentVerseWeb/publish_test b/AgentVerseWeb/publish_test
new file mode 100644
index 000000000..aa0bf19e7
--- /dev/null
+++ b/AgentVerseWeb/publish_test
@@ -0,0 +1,42 @@
+#!/usr/bin/env sh
+
+PACKAGE_NAME=$1
+TYPE=$2
+
+# TEST_HOST=172.16.3.74
+TEST_HOST=web-1.prod.modelbest.co
+PROD_HOST=frontend-1.prod.modelbest.co
+
+if [ $TYPE == "test" ]; then
+     echo test
+
+     scp "./${PACKAGE_NAME}.test.zip" root@${TEST_HOST}:/mnt/frontend/openapi
+
+     if [ $? -eq 0 ]; then
+          echo "succeed"
+
+          ssh root@${TEST_HOST} "cd /mnt/frontend/openapi; rm -r dist;unzip -o -q ${PACKAGE_NAME}.${TYPE}.zip;"
+
+          if [ $? -eq 0 ]; then
+               echo "publish success"
+          fi
+     else
+          echo "failed"
+     fi
+else
+     echo prod
+
+     scp "./${PACKAGE_NAME}.zip" root@${PROD_HOST}:/opt/front/openapi
+
+     if [ $? -eq 0 ]; then
+          echo "succeed"
+
+          ssh root@${PROD_HOST} "cd /opt/front/openapi; unzip -o -q ${PACKAGE_NAME}.zip;"
+
+          if [ $? -eq 0 ]; then
+               echo "publish success"
+          fi
+     else
+          echo "failed"
+     fi
+fi
diff --git a/AgentVerseWeb/src/App.vue b/AgentVerseWeb/src/App.vue
new file mode 100644
index 000000000..0d690e408
--- /dev/null
+++ b/AgentVerseWeb/src/App.vue
@@ -0,0 +1,41 @@
+<script setup lang="ts"></script>
+
+<template>
+  <router-view />
+</template>
+
+<!-- <script setup lang="ts">
+import { ElMessage } from 'element-plus';
+
+const router = useRouter()
+const userStore = useUserStore()
+const authStore = useAuthStore()
+
+const DEFAULT_ACCOUNT = 'admin'
+const DEFAULT_PSWD = 'agentverse-admin'
+
+const param = {
+  email: DEFAULT_ACCOUNT,
+  token:  DEFAULT_PSWD,
+}
+
+const res: any = await useLoginRequest(param);
+
+if (res?.success) {
+  userStore.setUserInfo(res?.data)
+  authStore.setLoginState(true)
+  authStore.setLoginToken(res?.data?.token)
+  router.push({ path: '/playground' });
+} else {
+  ElMessage({ type: 'error', message: (res?.message || 'Login failed') })
+}
+</script> -->
+
+
+<style>
+#app {
+  width: 100%;
+  height: 100%;
+  overflow: hidden;
+}
+</style>
diff --git a/AgentVerseWeb/src/api/backend.ts b/AgentVerseWeb/src/api/backend.ts
new file mode 100644
index 000000000..40483ac76
--- /dev/null
+++ b/AgentVerseWeb/src/api/backend.ts
@@ -0,0 +1,3 @@
+const BACKEND_URL_LOCALDEPLOY = 'http://localhost:8090';
+
+export default BACKEND_URL_LOCALDEPLOY as string;
diff --git a/AgentVerseWeb/src/api/index.ts b/AgentVerseWeb/src/api/index.ts
new file mode 100644
index 000000000..e69de29bb
diff --git a/AgentVerseWeb/src/api/websocket.ts b/AgentVerseWeb/src/api/websocket.ts
new file mode 100644
index 000000000..e69de29bb
diff --git a/AgentVerseWeb/src/assets/css/animation.css b/AgentVerseWeb/src/assets/css/animation.css
new file mode 100644
index 000000000..9775a320a
--- /dev/null
+++ b/AgentVerseWeb/src/assets/css/animation.css
@@ -0,0 +1,43 @@
+@keyframes fadeInBottom {
+  0% {
+    opacity: var(--fade-opacity, 0);
+    transform: translateY(30px);
+  }
+  100% {
+    opacity: 1;
+    transform: translateY(0);
+  }
+}
+
+@keyframes rotate_animate {
+  0% {
+    transform: rotate(0deg);
+  }
+  100% {
+    transform: rotate(360deg);
+  }
+}
+
+@keyframes scaleNormal {
+  0% {
+    transform: scale(0);
+  }
+  100% {
+    transform: scale(1);
+  }
+}
+
+@keyframes blink {
+  to {
+    visibility: hidden;
+  }
+}
+
+@keyframes loadingDot {
+  0% {
+    opacity: 1;
+  }
+  100% {
+    opacity: 0.2;
+  }
+}
diff --git a/AgentVerseWeb/src/assets/css/base.css b/AgentVerseWeb/src/assets/css/base.css
new file mode 100644
index 000000000..15ed27535
--- /dev/null
+++ b/AgentVerseWeb/src/assets/css/base.css
@@ -0,0 +1,112 @@
+@import url(./normalize.css);
+@import url(./fonts.css);
+@import url(./var.css);
+@import url(./animation.css);
+
+html,
+body {
+  width: 100%;
+  height: 100%;
+
+  font-size: var(--default-font-size);
+  font-weight: var(--default-font-weight);
+  font-family: 'PingFang-SC-Medium', 'Microsoft YaHei', 'Arial', 'sans-serif';
+}
+
+*,
+:after,
+:before {
+  box-sizing: border-box;
+  margin: 0;
+  padding: 0;
+}
+
+i {
+  display: inline-flex;
+  align-items: center;
+  justify-content: center;
+}
+i svg {
+  font-size: 12px;
+  /* margin: 0 5px; */
+}
+
+ul,
+li {
+  padding: 0;
+  margin: 0;
+}
+
+ul {
+  list-style: none;
+}
+
+hr {
+  white-space: normal;
+  border-style: solid;
+  border-right-width: 0px;
+  border-bottom-width: 0px;
+  border-left-width: 0px;
+  border-color: rgba(0, 0, 0, 0.1);
+  transform-origin: 0px 0px 0px;
+  transform: scale(1, 0.5);
+  visibility: visible;
+  line-height: 1.75;
+}
+
+.position-center {
+  position: absolute;
+  inset: 0;
+  margin: auto;
+}
+
+.ellipsis {
+  display: -webkit-box;
+  -webkit-box-orient: vertical;
+  -webkit-line-clamp: var(--line-clamp, 2);
+  overflow: hidden;
+}
+
+input::-webkit-input-placeholder {
+  /* WebKit browsers */
+  color: #ccc;
+}
+
+input:-moz-placeholder {
+  /* Mozilla Firefox 4 to 18 */
+  color: #ccc;
+}
+
+input::-moz-placeholder {
+  /* Mozilla Firefox 19+ */
+  color: #ccc;
+}
+
+input:-ms-input-placeholder {
+  /* Internet Explorer 10+ */
+  color: #ccc;
+}
+
+input:-webkit-autofill,
+input:-webkit-autofill:hover,
+input:-webkit-autofill:focus,
+input:-webkit-autofill:active {
+  -webkit-transition-delay: 99999s;
+  -webkit-transition: color 99999s ease-out, background-color 99999s ease-out;
+}
+
+/* flex */
+.flex-row {
+  display: flex;
+  flex-direction: row;
+}
+
+.flex-column {
+  display: flex;
+  flex-direction: column;
+}
+
+.flex-center {
+  justify-content: center;
+  align-items: center;
+}
diff --git a/AgentVerseWeb/src/assets/css/fonts.css b/AgentVerseWeb/src/assets/css/fonts.css
new file mode 100644
index 000000000..6b83dec67
--- /dev/null
+++ b/AgentVerseWeb/src/assets/css/fonts.css
@@ -0,0 +1,72 @@
+@font-face {
+  font-family: Amble;
+  src: url(../fonts/Amble-Regular.woff2);
+  font-weight: 400;
+  font-display: swap;
+}
+
+@font-face {
+  font-family: Amble-Bold;
+  src: url(../fonts/Amble-Regular.woff2);
+  font-weight: 700;
+  font-display: swap;
+}
+
+@font-face {
+  font-family: 'D-DIN';
+  src: url(../fonts/D-DIN.ttf);
+  font-display: swap;
+}
+@font-face {
+  font-family: 'DINCondensed-Bold';
+  src: url(../fonts/D-DIN-Bold.ttf);
+  font-display: swap;
+}
+
+@font-face {
+  font-family: MiSans-Regular;
+  src: url('../fonts/MiSans/MiSans-Regular.eot');
+  src: url('../fonts/MiSans/MiSans-Regular.eot?#iefix') format('embedded-opentype'),
+    url('../fonts/MiSans/MiSans-Regular.woff2') format('woff2'), url('../fonts//MiSans/MiSans-Regular.woff') format('woff');
+  font-weight: normal;
+  font-style: normal;
+  font-display: swap;
+}
+
+@font-face {
+  font-family: MiSans-Normal;
+  src: url('../fonts/MiSans/MiSans-Normal.eot');
+  src: url('../fonts/MiSans/MiSans-Normal.eot?#iefix') format('embedded-opentype'),
+    url('../fonts/MiSans/MiSans-Normal.woff2') format('woff2'), url('../fonts/MiSans/MiSans-Normal.woff') format('woff');
+  font-weight: normal;
+  font-style: normal;
+  font-display: swap;
+}
+
+@font-face {
+  font-family: MiSans-Demibold;
+  src: url('../fonts/MiSans/MiSans-Demibold.eot');
+  src: url('../fonts/MiSans/MiSans-Demibold.eot?#iefix') format('embedded-opentype'),
+    url('../fonts/MiSans/MiSans-Demibold.woff2') format('woff2'), url('../fonts/MiSans/MiSans-Demibold.woff') format('woff');
+  font-weight: 600;
+  font-style: normal;
+  font-display: swap;
+}
+
+@font-face {
+  font-family: MiSans-Medium;
+  src: url('../fonts/MiSans/MiSans-Medium.eot');
+  src: url('../fonts/MiSans/MiSans-Medium.eot?#iefix') format('embedded-opentype'),
+    url('../fonts/MiSans/MiSans-Medium.woff2') format('woff2'), url('../fonts/MiSans/MiSans-Medium.woff') format('woff');
+  font-weight: 500;
+  font-style: normal;
+  font-display: swap;
+}
+
+@font-face {
+  font-family: SourceCodePro;
+  src: url('../fonts/SourceCodePro.ttf');
+  font-weight: 400;
+  font-style: normal;
+  font-display: swap;
+}
diff --git a/AgentVerseWeb/src/assets/css/normalize.css b/AgentVerseWeb/src/assets/css/normalize.css
new file mode 100644
index 000000000..43ff34ae6
--- /dev/null
+++ b/AgentVerseWeb/src/assets/css/normalize.css
@@ -0,0 +1,354 @@
+/*! normalize.css v8.0.1 | MIT License | github.com/necolas/normalize.css */
+
+/* Document
+   ========================================================================== */
+
+/**
+ * 1. Correct the line height in all browsers.
+ * 2. Prevent adjustments of font size after orientation changes in iOS.
+ */
+
+html {
+  line-height: 1.15; /* 1 */
+  -webkit-text-size-adjust: 100%; /* 2 */
+}
+
+/* Sections
+   ========================================================================== */
+
+/**
+ * Remove the margin in all browsers.
+ */
+
+body {
+  margin: 0;
+  padding: 0;
+  box-sizing: border-box;
+}
+
+/**
+ * Render the `main` element consistently in IE.
+ */
+
+main {
+  display: block;
+}
+
+/**
+ * Correct the font size and margin on `h1` elements within `section` and
+ * `article` contexts in Chrome, Firefox, and Safari.
+ */
+
+h1 {
+  font-size: 2em;
+  margin: 0.67em 0;
+}
+
+/* Grouping content
+   ========================================================================== */
+
+/**
+ * 1. Add the correct box sizing in Firefox.
+ * 2. Show the overflow in Edge and IE.
+ */
+
+hr {
+  box-sizing: content-box; /* 1 */
+  height: 0; /* 1 */
+  overflow: visible; /* 2 */
+}
+
+/**
+ * 1. Correct the inheritance and scaling of font size in all browsers.
+ * 2. Correct the odd `em` font sizing in all browsers.
+ */
+
+pre {
+  font-family: monospace, monospace; /* 1 */
+  font-size: 1em; /* 2 */
+}
+
+/* Text-level semantics
+   ========================================================================== */
+
+/**
+ * Remove the gray background on active links in IE 10.
+ */
+
+a {
+  background-color: transparent;
+}
+
+/**
+ * 1. Remove the bottom border in Chrome 57-
+ * 2. Add the correct text decoration in Chrome, Edge, IE, Opera, and Safari.
+ */
+
+abbr[title] {
+  border-bottom: none; /* 1 */
+  text-decoration: underline; /* 2 */
+  text-decoration: underline dotted; /* 2 */
+}
+
+/**
+ * Add the correct font weight in Chrome, Edge, and Safari.
+ */
+
+b,
+strong {
+  font-weight: bolder;
+}
+
+/**
+ * 1. Correct the inheritance and scaling of font size in all browsers.
+ * 2. Correct the odd `em` font sizing in all browsers.
+ */
+
+code,
+kbd,
+samp {
+  font-family: monospace, monospace; /* 1 */
+  font-size: 1em; /* 2 */
+}
+
+/**
+ * Add the correct font size in all browsers.
+ */
+
+small {
+  font-size: 80%;
+}
+
+/**
+ * Prevent `sub` and `sup` elements from affecting the line height in
+ * all browsers.
+ */
+
+sub,
+sup {
+  font-size: 75%;
+  line-height: 0;
+  position: relative;
+  vertical-align: baseline;
+}
+
+sub {
+  bottom: -0.25em;
+}
+
+sup {
+  top: -0.5em;
+}
+
+/* Embedded content
+   ========================================================================== */
+
+/**
+ * Remove the border on images inside links in IE 10.
+ */
+
+img {
+  border-style: none;
+}
+
+/* Forms
+   ========================================================================== */
+
+/**
+ * 1. Change the font styles in all browsers.
+ * 2. Remove the margin in Firefox and Safari.
+ */
+
+button,
+input,
+optgroup,
+select,
+textarea {
+  font-family: inherit; /* 1 */
+  font-size: 100%; /* 1 */
+  line-height: 1.15; /* 1 */
+  margin: 0; /* 2 */
+}
+
+/**
+ * Show the overflow in IE.
+ * 1. Show the overflow in Edge.
+ */
+
+button,
+input {
+  /* 1 */
+  overflow: visible;
+}
+
+/**
+ * Remove the inheritance of text transform in Edge, Firefox, and IE.
+ * 1. Remove the inheritance of text transform in Firefox.
+ */
+
+button,
+select {
+  /* 1 */
+  text-transform: none;
+}
+
+/**
+ * Correct the inability to style clickable types in iOS and Safari.
+ */
+
+button,
+[type='button'],
+[type='reset'],
+[type='submit'] {
+  -webkit-appearance: button;
+  border: 0;
+}
+
+/**
+ * Remove the inner border and padding in Firefox.
+ */
+
+button::-moz-focus-inner,
+[type='button']::-moz-focus-inner,
+[type='reset']::-moz-focus-inner,
+[type='submit']::-moz-focus-inner {
+  border-style: none;
+  padding: 0;
+}
+
+/**
+ * Restore the focus styles unset by the previous rule.
+ */
+
+button:-moz-focusring,
+[type='button']:-moz-focusring,
+[type='reset']:-moz-focusring,
+[type='submit']:-moz-focusring {
+  outline: 1px dotted ButtonText;
+}
+
+/**
+ * Correct the padding in Firefox.
+ */
+
+fieldset {
+  padding: 0.35em 0.75em 0.625em;
+}
+
+/**
+ * 1. Correct the text wrapping in Edge and IE.
+ * 2. Correct the color inheritance from `fieldset` elements in IE.
+ * 3. Remove the padding so developers are not caught out when they zero out
+ *    `fieldset` elements in all browsers.
+ */
+
+legend {
+  box-sizing: border-box; /* 1 */
+  color: inherit; /* 2 */
+  display: table; /* 1 */
+  max-width: 100%; /* 1 */
+  padding: 0; /* 3 */
+  white-space: normal; /* 1 */
+}
+
+/**
+ * Add the correct vertical alignment in Chrome, Firefox, and Opera.
+ */
+
+progress {
+  vertical-align: baseline;
+}
+
+/**
+ * Remove the default vertical scrollbar in IE 10+.
+ */
+
+textarea {
+  overflow: auto;
+}
+
+/**
+ * 1. Add the correct box sizing in IE 10.
+ * 2. Remove the padding in IE 10.
+ */
+
+[type='checkbox'],
+[type='radio'] {
+  box-sizing: border-box; /* 1 */
+  padding: 0; /* 2 */
+}
+
+/**
+ * Correct the cursor style of increment and decrement buttons in Chrome.
+ */
+
+[type='number']::-webkit-inner-spin-button,
+[type='number']::-webkit-outer-spin-button {
+  height: auto;
+}
+
+/**
+ * 1. Correct the odd appearance in Chrome and Safari.
+ * 2. Correct the outline style in Safari.
+ */
+
+[type='search'] {
+  -webkit-appearance: textfield; /* 1 */
+  outline-offset: -2px; /* 2 */
+}
+
+/**
+ * Remove the inner padding in Chrome and Safari on macOS.
+ */
+
+[type='search']::-webkit-search-decoration {
+  -webkit-appearance: none;
+}
+
+/**
+ * 1. Correct the inability to style clickable types in iOS and Safari.
+ * 2. Change font properties to `inherit` in Safari.
+ */
+
+::-webkit-file-upload-button {
+  -webkit-appearance: button; /* 1 */
+  font: inherit; /* 2 */
+}
+
+/* Interactive
+   ========================================================================== */
+
+/*
+ * Add the correct display in Edge, IE 10+, and Firefox.
+ */
+
+details {
+  display: block;
+}
+
+/*
+ * Add the correct display in all browsers.
+ */
+
+summary {
+  display: list-item;
+}
+
+/* Misc
+   ========================================================================== */
+
+/**
+ * Add the correct display in IE 10+.
+ */
+
+template {
+  display: none;
+}
+
+/**
+ * Add the correct display in IE 10.
+ */
+
+[hidden] {
+  display: none;
+}
diff --git a/AgentVerseWeb/src/assets/css/var.css b/AgentVerseWeb/src/assets/css/var.css
new file mode 100644
index 000000000..2af80349c
--- /dev/null
+++ b/AgentVerseWeb/src/assets/css/var.css
@@ -0,0 +1,26 @@
+:root {
+  --font-size-16: 16px;
+
+  --font-weight-4: 400;
+  --font-weight-5: 500;
+
+  --default-font-size: var(--font-size-16);
+  --default-font-weight: var(--font-weight-4);
+}
+
+:root {
+  --color-danger: red;
+  --color-1: #1c2848;
+}
+
+/* 自适应大小 font-size padding margin */
+:root {
+  --size-1216: clamp(0.75rem, 0.38vw + 0.66rem, 1rem);
+  --size-1224: clamp(0.75rem, 1.13vw + 0.49rem, 1.5rem);
+
+  --size-1632: clamp(1rem, 1.5vw + 0.65rem, 2rem);
+
+  --size-2448: clamp(1.5rem, 2.25vw + 0.97rem, 3rem);
+
+  --size-3264: clamp(2rem, 3vw + 1.3rem, 4rem);
+}
diff --git a/AgentVerseWeb/src/assets/data/data.ts b/AgentVerseWeb/src/assets/data/data.ts
new file mode 100644
index 000000000..59f53d7cf
--- /dev/null
+++ b/AgentVerseWeb/src/assets/data/data.ts
@@ -0,0 +1,19762 @@
+export const sensitive = [
+  '炸弹',
+  '17年前',
+  '18DY电影',
+  '18岁的雪儿',
+  '1969 尼木',
+  '1989年',
+  '2005言论',
+  '2005语录排行榜',
+  '2008年阴曹地府春晚节目单',
+  '27军军长',
+  '322攻台作战计划',
+  '38集团军',
+  '3D轮盘',
+  '3退',
+  '4事件',
+  '60天的攻防',
+  '64大屠杀',
+  '64时期',
+  '6合',
+  '6合彩',
+  '6四',
+  '70天大事记',
+  '7个军区',
+  '7大军区',
+  '8.18事件',
+  '8023部队',
+  '8964',
+  '89之',
+  '89事件',
+  '89学潮大屠杀',
+  '89学潮血腥屠杀',
+  '89年',
+  '89风波',
+  '9.12事件',
+  '98印尼',
+  '9ping',
+  '9坪',
+  '9评',
+  'AV女',
+  'A片',
+  'BB弹',
+  'BB枪',
+  'bjork',
+  'boxilai',
+  'boyibo',
+  'CPC',
+  'DIY原子弹',
+  'falun',
+  'falundafa',
+  'falungong',
+  'fangong',
+  'fanhua',
+  'fa轮',
+  'Fa轮功',
+  'flg',
+  'FL功',
+  'FL大法',
+  'fuck',
+  'GCD',
+  'global human rights torch relay',
+  'go-vern-ment',
+  'GONG党',
+  'GUN',
+  'huzhuxi',
+  'h图',
+  'h漫',
+  'jiuping',
+  'king粉有售',
+  'K粉',
+  'K粉冰出售',
+  'LHZ',
+  'lihongzhi',
+  'liuhecai',
+  'liusi',
+  'minghui',
+  'mi幻',
+  'm功学',
+  'ONS',
+  'PK黑社会',
+  'Power to the Falun Gong',
+  'qiang支',
+  'Red Corner',
+  'rentiandiling',
+  'SB',
+  'Seven Years in Tibet',
+  'SEX情色论坛',
+  'SIM卡复制器',
+  'SKYPE幸运中奖',
+  'SM用品',
+  'taidu',
+  'TAM',
+  'tiananmen',
+  'TMD',
+  'tuidang',
+  'VOA采访热比娅',
+  'wenjiabao',
+  'www.cipfg.org',
+  'xiaoping',
+  'xintangrendianshi',
+  'xuechao',
+  'XX功',
+  'zifen',
+  '《中国民主》',
+  '《争鸣》',
+  '《动向》',
+  '》{6}编辑部',
+  '七个军区',
+  '七大军区',
+  '万法归一功',
+  '三三九乘元功',
+  '三二二攻台作战',
+  '三二二攻台作战计划',
+  '三分钟禁播片',
+  '三句硬话',
+  '三唑仑',
+  '三坊七巷火灾',
+  '三挫仑',
+  '三班仆人派',
+  '三级片',
+  '三级电影',
+  '三股势力',
+  '三脱',
+  '三退',
+  '上海交警',
+  '上海帮',
+  '上海性息',
+  '上海独立',
+  '上门按摩',
+  '下台',
+  '下马',
+  '不爱党',
+  '不良少女日记',
+  '不要脸',
+  '世界之门',
+  '世界以利亚福音宣教会',
+  '世界十大独裁者',
+  '世界基督教统一神灵协会',
+  '东伊运',
+  '东北风情熟女之惑',
+  '东方闪电',
+  '东海协议',
+  '东突',
+  '丝袜美女',
+  '丝袜聊天室',
+  '两岸才子对话',
+  '两性电影',
+  '个人圆满说',
+  '个邪的党',
+  '中国民主自由党',
+  '临震预报',
+  '为党不为国',
+  '乌云其木格',
+  '乐透码',
+  '乖乖药',
+  '九jiu评',
+  '九ping',
+  '九凭',
+  '九十三运动',
+  '九抨',
+  '九评共产党',
+  '习下台',
+  '习太子',
+  '习近平下台',
+  '买卖枪支',
+  '买官卖官',
+  '买断',
+  '买春买淫',
+  '买枪',
+  '买真枪',
+  '买答案',
+  '买肾',
+  '乱交',
+  '乱伦',
+  '乳交',
+  '乳交乳伦',
+  '二傻子',
+  '二十四事件',
+  '二奶大奖',
+  '二奶大赛',
+  '二货',
+  '五奶小青',
+  '五毛党',
+  '亡党',
+  '亡共者胡',
+  '亡国',
+  '亡国灭种',
+  '交换夫妻',
+  '京夫子',
+  '亲共',
+  '亲共分子',
+  '亲共媒体',
+  '亲共行动',
+  '人与兽乱交图片',
+  '人体艺术',
+  '人全球春节晚会',
+  '人兽乱交',
+  '人兽性交',
+  '人妻兽虐曲',
+  '人宇特能功',
+  '人弹',
+  '人权保护',
+  '人民币恶搞',
+  '人民报',
+  '人类罪恶论',
+  '仁寿警方',
+  '今有广东',
+  '他妈',
+  '仙人跳',
+  '代-办-证件',
+  '代写论文',
+  '代孕',
+  '代理国税',
+  '代理地税',
+  '代理海关',
+  '代考',
+  '代讨债',
+  '代追债',
+  '仿真假钞',
+  '仿真手枪',
+  '仿真枪',
+  '传九退三',
+  '传真群发',
+  '传送答案',
+  '伪基百科',
+  '伪大',
+  '伪政府',
+  '伴我淫',
+  '佛怀煽仇录',
+  '你大爷',
+  '你妈',
+  '你妈死了',
+  '你娘比',
+  '你祖宗',
+  '你退了吗',
+  '佳静安定片',
+  '侵犯国外专利',
+  '俄罗斯轮盘',
+  '保过',
+  '信号屏蔽器',
+  '信号拦截器',
+  '信用卡套现',
+  '俪影蝎心',
+  '修女',
+  '假币',
+  '假币出售',
+  '假文凭',
+  '假证件',
+  '假钞',
+  '做爱',
+  '偷听器',
+  '偷拍走光',
+  '傅政华',
+  '催情药',
+  '催情迷昏药',
+  '傻B',
+  '傻叉',
+  '傻子',
+  '傻帽',
+  '傻逼',
+  '先烈的电话',
+  '光绪',
+  '免抵押贷款',
+  '免电灯',
+  '免费偷拍',
+  '免费桃色',
+  '免费电影',
+  '党内危机',
+  '党内权争',
+  '党内权力',
+  '党内言事潮',
+  '党国',
+  '党棍',
+  '党禁',
+  '党风日下',
+  '全家遭车祸',
+  '全范围教会',
+  '全裸人体艺术图',
+  '八九六四',
+  '八九年',
+  '公产专制',
+  '公产党',
+  '公产小丑',
+  '公产王朝',
+  '公务员工资',
+  '公务员的工资',
+  '公务员调资',
+  '六4',
+  '六HE彩',
+  '六代接班人',
+  '六决不',
+  '六合',
+  '六合彩',
+  '六合采',
+  '六和彩',
+  '六四事件',
+  '六四信息',
+  '六四内部日记',
+  '六四受难者家属证辞',
+  '六四学潮',
+  '六四屠城',
+  '六四屠杀',
+  '六四血案',
+  '六四资料馆',
+  '六开网',
+  '六级答案',
+  '共X党',
+  '共产主义黑皮书',
+  '共产党',
+  '共产党专制',
+  '共产党的报应',
+  '共产党的末日',
+  '共产极权',
+  '共党',
+  '共匪',
+  '共和国2049',
+  '共奴',
+  '共字玄机',
+  '共狗',
+  '共独',
+  '共贼',
+  '共青团派',
+  '共青背景',
+  '关于堂明皇与杨贵姬',
+  '关机房',
+  '兴华论谈',
+  '兽交',
+  '内争人权',
+  '军 用 枪 支',
+  '军火',
+  '军用制式',
+  '军长发威',
+  '冰{4}毒',
+  '冰毒',
+  '凌虐玉门',
+  '凌辱美少女',
+  '凸点装',
+  '出 售 手 枪',
+  '出售{4}冰',
+  '出售假人品币',
+  '出售假币',
+  '出售假钞',
+  '出售军用手枪',
+  '出售冰毒配方',
+  '出售喷雾型迷药',
+  '出售器官',
+  '出售套牌车',
+  '出售套牌轿车',
+  '出售工字气枪铅弹',
+  '出售工字牌气枪',
+  '出售手qiang',
+  '出售手枪',
+  '出售政协车证',
+  '出售枪支',
+  '出售毒品配方',
+  '出售气枪',
+  '出售猎枪',
+  '出售短信群发器',
+  '出售肾',
+  '出售车牌隐形喷剂',
+  '出售迷魂药三唑仑',
+  '出售遥控拦截器',
+  '出售钻石{4}冰',
+  '出售银行卡',
+  '出售高压气枪',
+  '出售高考答案',
+  '出售麻古',
+  '切波特',
+  '切腹',
+  '刘云山',
+  '刘亚洲',
+  '刘全喜',
+  '刘新云',
+  '刘淇',
+  '创世之子猎艳之旅',
+  '剩火',
+  '劉奇葆',
+  '办理{4}学历',
+  '办理{4}文凭',
+  '办理文凭',
+  '办理无抵押贷款',
+  '加油机干扰器',
+  '加非猫：现实世界历险记',
+  '劣等人',
+  '劣等民族',
+  '动*态*网',
+  '動乱',
+  '包二奶大赛',
+  '包养',
+  '包养情妇12项吉尼斯排名',
+  '包过',
+  '包青天机',
+  '北京市委黑幕',
+  '北京帮',
+  '北京政坛清华名人',
+  '北京独立',
+  '北京风波',
+  '北京黑幕',
+  '北大校园BBS',
+  '北美巡回讲法',
+  '十七位老部长',
+  '十七大',
+  '十七大人事安排',
+  '十七大权力争霸战',
+  '十八大接班人',
+  '十大奖项及中奖名单',
+  '十大忽悠名言',
+  '十大恶词',
+  '十大独裁',
+  '十景缎',
+  '千岛湖之旅',
+  '千禧弘法',
+  '升达',
+  '升达毕业证',
+  '华人惨案',
+  '华国锋',
+  '华藏功',
+  '华语',
+  '华闻',
+  '卖QQ号码',
+  '卖枪',
+  '卖答案',
+  '卖肾',
+  '卖血',
+  '卖身',
+  '卖身契系列',
+  '南京大学法学院',
+  '博彩',
+  '卡辛纳大道和三福大道交界处',
+  '卢跃刚',
+  '卧槽',
+  '卫星天线接收器成人频道',
+  '卫星遭黑客攻击',
+  '卫星高频头',
+  '即时赔率',
+  '历史上的真实故事',
+  '历史的伤口',
+  '厕奴',
+  '去死',
+  '双儿篇',
+  '双桨飞机',
+  '双桶',
+  '双筒',
+  '双鞋的故事',
+  '反G',
+  '反中',
+  '反中共黑色暴力',
+  '反党',
+  '反共',
+  '反共传单',
+  '反共言论',
+  '反动',
+  '反华',
+  '反右题材',
+  '反对08奥运会',
+  '反对党',
+  '反对共产主义',
+  '反对共产党',
+  '反对日本介入中国铁路工业',
+  '反攻大陆',
+  '反政府',
+  '反民主',
+  '反社会主义',
+  '反腐总攻',
+  '反雷达测速',
+  '发/票/代/开',
+  '发仑da发',
+  '发伦工',
+  '发论',
+  '发贴工具',
+  '发贴机',
+  '发轮',
+  '发轮功',
+  '发轮功陈果',
+  '变态',
+  '口淫',
+  '古方迷香',
+  '台du',
+  '台湾国',
+  '台湾应该独立',
+  '台湾有权独立',
+  '台湾独立',
+  '台独',
+  '台独分子',
+  '史久武',
+  '司考答案',
+  '司马璐回忆录',
+  '吃人',
+  '合彩',
+  '同盟党',
+  '向巴平措',
+  '吴仪',
+  '吴官正无官',
+  '吴邦国',
+  '吸毒',
+  '吾爾開希',
+  '周建琨',
+  '周永康',
+  '和奸成瘾',
+  '哈狗帮',
+  '哥言语录',
+  '哪里找{12}服务',
+  '售手{2}枪',
+  '商务快车',
+  '商务短信',
+  '啊扁涛哥',
+  '喷雾型迷药',
+  '嗑药',
+  '器官贩卖',
+  '噶玛吧',
+  '四事件',
+  '四二六社论',
+  '四六级答案',
+  '四大舰队',
+  '四川大地震异象揭密',
+  '四川广安',
+  '四川朱昱',
+  '四我周',
+  '四月圣火被搞怪',
+  '四海龙女',
+  '四级答案',
+  '回忆六四',
+  '回民暴动',
+  '回民猪',
+  '回汉冲突',
+  '回良玉',
+  '围攻中国使馆',
+  '围绕土地问题的攻防',
+  '国歌股歌',
+  '国民党被推翻了么',
+  '国统会',
+  '国统纲领',
+  '国际声援西藏',
+  '国际足坛五大',
+  '土枪',
+  '土炮',
+  '圣战组织',
+  '圣殿教',
+  '圣火护卫',
+  '圣灵重建教会',
+  '地磅解码器',
+  '地磅遥控器',
+  '城市激情聊天室',
+  '基地组织校园招聘',
+  '基督灵恩布道团',
+  '堕落指南',
+  '士的宁',
+  '士的年',
+  '外蒙回归',
+  '多党执政',
+  '大圆满法',
+  '大妓院',
+  '大学暴动',
+  '大恐怖杀手',
+  '大扎荣',
+  '大揭露',
+  '大法',
+  '大法修炼者',
+  '大法弟子',
+  '大珐',
+  '大祚榮',
+  '大紀元',
+  '大纪元',
+  '大纪元法轮功',
+  '大陆官员',
+  '大陆当局',
+  '大陆当权者',
+  '大陆独裁者',
+  '大麻',
+  '天安门事件',
+  '天安门大屠杀',
+  '天安门时间',
+  '天浴',
+  '天灭中共',
+  '天葬',
+  '天要亡',
+  '天要灭',
+  '天音功',
+  '天鹅之旅',
+  '太子党名单',
+  '太王四神记',
+  '太王死神记',
+  '太王记',
+  '夫妇乐园',
+  '夫妻交换',
+  '失忆药',
+  '失意药',
+  '失身药',
+  '夺权',
+  '女优片',
+  '女伟哥',
+  '女友坊',
+  '女士服务',
+  '女奴',
+  '女死囚',
+  '女神教',
+  '女色情自拍',
+  '奴事件',
+  '奴役童工',
+  '奸杀',
+  '奸魔Ⅱ',
+  '如何造原子弹',
+  '妇的哀羞',
+  '妈了个逼',
+  '妈逼',
+  '妓女',
+  '妓女的口号',
+  '妹妹艳情',
+  '姐姐开苞',
+  '婊子',
+  '嫖娼',
+  '嫩穴',
+  '嫩逼',
+  '孙力军',
+  '孙政才',
+  '完全自杀手册',
+  '官匪一家',
+  '官商勾结',
+  '官场段子',
+  '官场潜规则',
+  '官场顺口溜',
+  '官逼民反',
+  '实际神',
+  '害国害民',
+  '害死了',
+  '家乐福',
+  '容弹量',
+  '寂寞少妇',
+  '密穴',
+  '富姐',
+  '富婆',
+  '对中共的姑息就是对死难者的残忍',
+  '对共产党清算',
+  '对日强硬',
+  '导爆索',
+  '小口径',
+  '小妹妹艳爽',
+  '小平讲英语',
+  '小泉恶搞',
+  '小活佛',
+  '小电影',
+  '小穴',
+  '少女俱乐部',
+  '少女刺激电影',
+  '少女浴室',
+  '少妇白洁',
+  '少妇自拍',
+  '少年阿宾',
+  '尼玛',
+  '屁',
+  '屁眼',
+  '屠杀学生',
+  '屠龙别记',
+  '山不过来',
+  '山西洪洞',
+  '山西黑砖窑',
+  '崔英杰',
+  '巨额骗储',
+  '师涛',
+  '希xi望wang之声',
+  '带考',
+  '帮人怀孕',
+  '帮招人',
+  '干扰器',
+  '平反六四',
+  '年事件',
+  '年春衫薄',
+  '年的事',
+  '幸运大玩家',
+  '广东王',
+  '广场事件',
+  '广安事件',
+  '庭  妍',
+  '康生丹',
+  '开天目',
+  '开平女生',
+  '开苞',
+  '开锁专用工具',
+  '弓弩',
+  '张阳',
+  '弹夹',
+  '弹种',
+  '强奸',
+  '强奸II-制服诱惑',
+  '强奸少妇',
+  '强效失忆药',
+  '强效失意药',
+  '强烈抗议中共当局',
+  '强硬发言',
+  '当今六大谎言',
+  '当今四大扯蛋',
+  '当代中国无耻语录排行榜',
+  '当代十大无耻语录',
+  '当代无耻语录排行榜',
+  '彩宝',
+  '彩票奖券网',
+  '彩票机',
+  '彩票选号机',
+  '彩票预测',
+  '彭丽媛改嫁',
+  '往事追忆录',
+  '待考',
+  '徐太后',
+  '徐才厚',
+  '快操我',
+  '性爱',
+  '性爱图片',
+  '性爱日记',
+  '性爱电影',
+  '恐共',
+  '恐怖分子',
+  '恶党',
+  '恶搞人民币',
+  '恶警',
+  '情杀',
+  '情欲小说',
+  '情色',
+  '情色光碟',
+  '情色呻吟',
+  '情色影片',
+  '情色影院',
+  '情色网',
+  '想不到的黑幕',
+  '感动中国乱弹人物揭晓',
+  '慈悲功',
+  '慈禧',
+  '慧聪',
+  '成人交友',
+  '成人午夜场',
+  '成人导航',
+  '成人小说',
+  '成人文学',
+  '成人片',
+  '成人用品',
+  '成人电影',
+  '成人电影网',
+  '成人网站',
+  '成人论坛',
+  '成人贴图',
+  '成佛做主',
+  '我们自杀吧',
+  '我周容',
+  '我擦',
+  '我日',
+  '我的性启蒙',
+  '我的第一次外遇',
+  '我草',
+  '我虽死去',
+  '我靠',
+  '战犯',
+  '房峰辉',
+  '手qiang',
+  '手机/截/听/器',
+  '手机/窃/听/器',
+  '手机qie/听器',
+  '手机偷听器',
+  '手机卡复制器',
+  '手机定位OR手机监听',
+  '手机监听',
+  '手机监听器',
+  '手机短信群发器',
+  '手机窃/听/器',
+  '手机窃听器',
+  '手机跟踪定位器',
+  '手机远程窃听器',
+  '手机追踪器',
+  '手机魔卡',
+  '手榴弹',
+  '手淫',
+  '打手',
+  '打死',
+  '打死你',
+  '打砸抢',
+  '扶不起的阿斗',
+  '批评刘少奇',
+  '投毒杀人',
+  '抗议中共当局',
+  '抗议磁悬浮',
+  '抢其火炬',
+  '护卫团',
+  '报码',
+  '抵制北京奥运',
+  '抵制日货',
+  '拉凳',
+  '拉帮游说',
+  '拉登',
+  '拉登中国',
+  '拉票贿选',
+  '拉线飞机',
+  '拉萨僧人接连抗议',
+  '拉萨骚乱',
+  '拍肩神',
+  '拍肩神药',
+  '拜大哥',
+  '拦截器',
+  '挥发型迷药',
+  '挺胡',
+  '换妻',
+  '换妻俱乐部',
+  '换肾',
+  '推翻专制独裁的共产党',
+  '提供K粉OR冰毒',
+  '提供甲基苯丙胺',
+  '揭晓二奶',
+  '摇头丸',
+  '操你',
+  '操你妈',
+  '放荡青春',
+  '敏感词和无效问法本质上是一致的只是对应的回复不同而已',
+  '救度众生说',
+  '文化大革命',
+  '斑蝥',
+  '新xin唐tang',
+  '新中华战记',
+  '新唐人',
+  '新搪人',
+  '新疆暴乱',
+  '新疆独立',
+  '新诗年鉴',
+  '新闻总署态度蛮横',
+  '方丈哭曰',
+  '旅游新报',
+  '无人性的政权',
+  '无官正',
+  '无帮国',
+  '无界浏览',
+  '无码',
+  '无码影',
+  '无码片',
+  '无码电影',
+  '无线针孔摄像机',
+  '无线隐形耳机',
+  '无网界',
+  '无耻语录',
+  '日了狗',
+  '日你妈',
+  '日月气功',
+  '日本小泉',
+  '日本战犯',
+  '日狗',
+  '日韩情欲电影',
+  '昆仑女神功',
+  '明hui',
+  '明慧网',
+  '明镜出版社',
+  '昏药',
+  '昔有山西',
+  '星光伴我淫',
+  '星爷搞笑发挥到如此境',
+  '春宫图',
+  '春节晚会正统文化',
+  '春药',
+  '普提功',
+  '暗访包',
+  '暴乱',
+  '暴力冲突',
+  '暴力执法',
+  '暴力拆迁',
+  '暴力袭警',
+  '暴力镇压',
+  '暴菊',
+  '暴行',
+  '未来的自由中国在民间',
+  '末世劫难',
+  '末世论',
+  '本拉登',
+  '杀人',
+  '杀人事件',
+  '杀人放火',
+  '杀光中国人',
+  '杀光所有中国人',
+  '杀害学生',
+  '杀手',
+  '李书凯',
+  '李伟信的笔供',
+  '李大轮子',
+  '李春生',
+  '李晓英',
+  '李沛瑶',
+  '李洪X',
+  '李洪志',
+  '李红痔',
+  '松花江污染',
+  '松花江污染汕尾事件',
+  '极品写真',
+  '极品艳情',
+  '极度诱惑',
+  '枪zhi',
+  '枪决女犯',
+  '枪决现场',
+  '枪手',
+  '枪杀王志平',
+  '枪模',
+  '枪毙',
+  '枪淫少妇',
+  '树亲民形象不如推动政改',
+  '校花沉沦记',
+  '根浴',
+  '梁保华',
+  '欧美情欲',
+  '欧美淫乱',
+  '武力镇压',
+  '武林情皇传',
+  '武装镇压',
+  '死亡笔记',
+  '死你娘',
+  '死你娘全家',
+  '死刑现场',
+  '死刑过',
+  '死刑过程',
+  '死熊揍',
+  '段桂清',
+  '母之欲火',
+  '母子乱伦',
+  '母子情欲小说',
+  '毒品',
+  '毛一鲜',
+  '毛主席',
+  '毛主席复活',
+  '毛主席的嫡孙',
+  '毛时代大饥荒揭秘',
+  '毛泽东侄子',
+  '毛泽东复活',
+  '毛泽东毛爷爷',
+  '毛派',
+  '毛爷爷复活',
+  '毛片',
+  '毛病',
+  '毛贼',
+  '民为法执',
+  '民主不能等待',
+  '民主之声',
+  '民主女神',
+  '民主还专政',
+  '民告官',
+  '民政局局长居然还摸',
+  '民族分裂',
+  '民族问题',
+  '民殇',
+  '民警当副院长',
+  '民运',
+  '民间流行的官场段子',
+  '气枪',
+  '气狗',
+  '氯胺酮',
+  '求救遭拒',
+  '求死',
+  '求肾',
+  '汕尾事件',
+  '汕頭頻傳擄童割器官',
+  '江z民',
+  '江三条腿',
+  '江丑闻',
+  '江二世',
+  '江人马',
+  '江太上',
+  '江嫡系',
+  '江宰民',
+  '江家帮',
+  '江山美人志',
+  '江戏子',
+  '江昏君',
+  '江核心',
+  '江梳头',
+  '江毒',
+  '江氏',
+  '江氏家族',
+  '江氏政治委员',
+  '江氏政治局',
+  '江氏集团',
+  '江泉集团',
+  '江泽民死',
+  '江派',
+  '江派人马',
+  '江派和胡派',
+  '江湖淫娘',
+  '江独裁',
+  '江理论',
+  '江祸心',
+  '江系人马',
+  '江绵恒',
+  '江老贼',
+  '江蛤蟆',
+  '江贼',
+  '江贼民',
+  '江路线',
+  '江驴',
+  '江魔头',
+  '江黑心',
+  '汪兆钧公开信',
+  '汽枪',
+  '汽狗',
+  '汽车爆炸案',
+  '汽车走表器',
+  '沁园春血',
+  '沈昌人体科技',
+  '沈昌功',
+  '沙皇李长春',
+  '沙雕',
+  '沧澜曲',
+  '泄题',
+  '法0功',
+  '法L',
+  '法lun功',
+  '法O功',
+  '法X功',
+  '法一轮',
+  '法仑功',
+  '法伦',
+  '法伦功',
+  '法力像佛',
+  '法功',
+  '法拉盛',
+  '法拉盛缅街',
+  '法某功',
+  '法能功',
+  '法西藏主义',
+  '法论功',
+  '法輪',
+  '法輪功',
+  '法轮',
+  '法轮义',
+  '法轮佛法',
+  '法轮公',
+  '法轮功',
+  '法轮大法',
+  '法轮工',
+  '泡友',
+  '津人治津',
+  '活体取肾',
+  '活摘器',
+  '活摘器官',
+  '派系斗争',
+  '流亡藏人',
+  '流氓无产者',
+  '流水穴',
+  '流血事件',
+  '浩方平台抽奖',
+  '浮情浪子',
+  '海 洛 因',
+  '海乐神',
+  '海军部署',
+  '海归美女国内手眼通天',
+  '海洛因',
+  '海盗的悠闲',
+  '海盗的悠闲生活',
+  '消业之说',
+  '消声器',
+  '消防枪',
+  '消防灭火枪',
+  '涉台政局',
+  '淫',
+  '混蛋神风流史',
+  '清华帮',
+  '清华网管',
+  '清场内幕',
+  '清官团',
+  '清海师父',
+  '清海无上师',
+  '温jiabao',
+  '温下台',
+  '温休曾退',
+  '温加饱',
+  '温家堡蒋彦永',
+  '港独',
+  '溥仪',
+  '滚！',
+  '漏点',
+  '漏题',
+  '漠视生命自私到了极点的中共政权',
+  '激光气',
+  '激光汽',
+  '激情一刻现场脱',
+  '激情交友',
+  '激情图片',
+  '激情小电影',
+  '激情文学',
+  '激情电影',
+  '激情电话',
+  '激情视频',
+  '激流中国',
+  '激爽情欲',
+  '火药制作',
+  '火车出轨',
+  '灭中共',
+  '灭了中国人',
+  '灭共',
+  '灭国',
+  '灭家害国',
+  '灭种',
+  '灭绝罪',
+  '炮轰密妃',
+  '点对点裸聊',
+  '点金商务',
+  '烈火凤凰',
+  '热售英语四六级考试答案',
+  '热比娅',
+  '煞笔',
+  '熟女之惑',
+  '爆菊',
+  '爱国者同盟网站',
+  '爱国运动正名',
+  '爸爸奸淫我',
+  '牌车出售',
+  '牛逼',
+  '牟新生',
+  '特别党费',
+  '特务机构',
+  '特权家庭垄断中国',
+  '特码',
+  '特马',
+  '犬交',
+  '狗友',
+  '狗嘴',
+  '狗娘养的',
+  '狗日',
+  '狗日的',
+  '狡猾的风水相师',
+  '独夫民贼',
+  '狼心',
+  '猎枪',
+  '王乐泉',
+  '王兆国',
+  '王子淫传',
+  '王政',
+  '王爷倔宠儿',
+  '玫瑰园',
+  '现代艳帝传奇',
+  '现代英雄传奇',
+  '现在的党',
+  '现在的公安',
+  '现在的共产党',
+  '现在的社会',
+  '现在的警察',
+  '珐(工力)学',
+  '球预测',
+  '瑞安事件',
+  '生命树的分叉',
+  '生孩子没屁眼',
+  '生意宝',
+  '田明建时间',
+  '甲基苯丙胺合成工艺',
+  '电击枪',
+  '电子狗导航手机',
+  '电子秤解码器',
+  '电狗',
+  '电表专用调表器',
+  '电表控制器',
+  '电警棒',
+  '电话交友',
+  '电话追杀系统',
+  '电车之狼',
+  '电鸡',
+  '男奴',
+  '留四进三',
+  '疆独',
+  '疾病业债说',
+  '痛批政法委',
+  '痴男发威',
+  '瘟家宝',
+  '瘟总再杆五年',
+  '瘪三',
+  '瘪炮',
+  '白小姐',
+  '白粉',
+  '百乐二呓',
+  '百家乐',
+  '皇家轮盘',
+  '皇帝',
+  '监听器',
+  '监听王',
+  '监狱里的斗争',
+  '盗取qq',
+  '盗取密码',
+  '盗号',
+  '盘古乐队',
+  '盛光祖',
+  '看JJ',
+  '真牛逼',
+  '睡着的武神',
+  '短信投票业务',
+  '短信注册',
+  '短信猫',
+  '短信答案',
+  '短信群发',
+  '短信群发器',
+  '确保北京的水利',
+  '示wei',
+  '礼品机',
+  '社会主义灭亡',
+  '社会混',
+  '社民党',
+  '神仙水',
+  '神州共震迎奥运',
+  '神州忏悔录',
+  '神的教会',
+  '神雕外传之郭襄',
+  '神鬼18妓',
+  '祸国殃民',
+  '禁书',
+  '禁室培欲6赤色杀意',
+  '禁断少女',
+  '禁网禁片',
+  '禅密功',
+  '福娃是魔咒',
+  '私家侦探服务',
+  '私服',
+  '科技精英遇难',
+  '秘密花园',
+  '秦青的幸',
+  '积克馆',
+  '空中民主墙',
+  '空军部署',
+  '突破封锁',
+  '突破网封索的软件',
+  '突破网络封锁',
+  '窃听器',
+  '窃聽器',
+  '立即枪毙',
+  '童奴工',
+  '笑气',
+  '第三次世界大战',
+  '第二首都',
+  '第五代接班梯队',
+  '第五代红人',
+  '第十六次代表',
+  '等级答案',
+  '策屁',
+  '粉冰出售',
+  '粪青',
+  '红客联盟',
+  '红床',
+  '红楼绮梦',
+  '红海湾',
+  '红病历',
+  '级答案',
+  '纪念文革',
+  '纪念达赖喇嘛流亡49周年',
+  '纪股票市场五卅惨案',
+  '纽扣摄像机',
+  '练功群众',
+  '绕过封锁',
+  '统一教',
+  '统治术',
+  '编成与基地',
+  '缩阴',
+  '网站推广软件',
+  '网管办',
+  '网络封锁',
+  '网络推广扩散器',
+  '网络杀人',
+  '网络警察',
+  '网络评论员工作指南',
+  '罗干',
+  '罢市',
+  '美国凯德',
+  '美女三点',
+  '美女上门',
+  '美女上门服务',
+  '美女人体艺术',
+  '美女做愛',
+  '美女午夜',
+  '美女按摩',
+  '美女视频',
+  '美女黄色',
+  '美少妇的哀羞',
+  '群交',
+  '群众冲击',
+  '群体灭绝',
+  '群发广告机',
+  '群发软件',
+  '群砍血腥时间',
+  '老虎机',
+  '老虎机上分器',
+  '老虎机定位器',
+  '考中答案',
+  '考前密卷',
+  '考前预测',
+  '考后付款',
+  '考研答案',
+  '考试作弊',
+  '考试作弊器',
+  '考验答案',
+  '联国专员',
+  '联盟党',
+  '肉棍',
+  '肉棒',
+  '肛交',
+  '股市民谣',
+  '股民暴动',
+  '股民率先造反',
+  '股民造反',
+  '肾源',
+  '胎盘',
+  '胡jintao',
+  '胡下台',
+  '胡新宇',
+  '胡江',
+  '胡江争斗',
+  '胡江关系',
+  '胡江曾',
+  '胡江风云',
+  '胡派',
+  '胡派人马',
+  '胡派军委',
+  '胡温',
+  '胡的接班人',
+  '胡紧套',
+  '胡紧掏',
+  '胡进涛',
+  '胡錦濤',
+  '脱衣',
+  '脱衣MM',
+  '脱衣女郎',
+  '脱衣美女',
+  '自由党',
+  '臭不要脸',
+  '舌战法庭',
+  '舔私处',
+  '色情',
+  '色情小电影',
+  '色情小说',
+  '色情服务',
+  '色情片',
+  '色情电影',
+  '色情网',
+  '色空寺',
+  '艹',
+  '芳香型智悟气功',
+  '苏东解体',
+  '苏家屯',
+  '苏荣',
+  '苹果被删',
+  '草！',
+  '菊暴',
+  '菊爆',
+  '菊花洞',
+  '萨斯病',
+  '萬人暴',
+  '落马',
+  '董元辰',
+  '蒋介石',
+  '蒋彦永',
+  '蒙古回归',
+  '蒙汗药',
+  '蒙汗药粉',
+  '薄yi',
+  '薄一波',
+  '薄熙来',
+  '藏妇会',
+  '藏字石',
+  '藏独',
+  '藏青会',
+  '蛤蟆转世',
+  '蜜洞',
+  '蜜穴被插',
+  '蠢货',
+  '衮',
+  '裙底走光',
+  '裸体激情',
+  '裸照',
+  '裸聊',
+  '西藏人民大起义运动',
+  '西藏作家组织',
+  '西藏国',
+  '西藏国家民主党',
+  '西藏天葬',
+  '西藏独立',
+  '西藏禁书',
+  '观音法门',
+  '视频脱衣',
+  '视频自慰',
+  '视频自拍',
+  '解体中共',
+  '解体的命运',
+  '解密软件',
+  '警匪一家',
+  '警徽',
+  '警民冲突',
+  '计生风暴',
+  '讨厌中国',
+  '记号扑克',
+  '记签',
+  '讲法传功',
+  '诛九族',
+  '话在肉身显现',
+  '谁为腐败晚餐买单',
+  '谁是新中国',
+  '谁是胡的接班人',
+  '财税代理',
+  '贱人',
+  '贱货',
+  '贺国强',
+  '贾庆林',
+  '赌具',
+  '赌博机',
+  '赌博透视器',
+  '赌球',
+  '赛克网',
+  '赣江学院',
+  '赤匪',
+  '赴港生子',
+  '赵洪顺',
+  '超淫杂交女',
+  '超越红墙',
+  '跑官要官',
+  '跟帖器',
+  '跟踪定位器',
+  '践踏中国女性',
+  '踩江',
+  '踩江民谣',
+  '身份证号码生成器身份证生成器软件',
+  '身份证生成器',
+  '车仑大法',
+  '车用电子狗',
+  '轮功',
+  '轮奸虐杀',
+  '轮子功',
+  '轮子小报',
+  '轮暴致死',
+  '轮盘机',
+  '软弱外交',
+  '轻松过',
+  '达米宣教会',
+  '达赖',
+  '达赖喇嘛',
+  '达赖过封锁',
+  '达赖领奖',
+  '连线机',
+  '迪里夏提',
+  '迫近水危机',
+  '迷失北京',
+  '迷奸药',
+  '迷奸表妹的小香穴',
+  '迷幻药',
+  '迷幻药蒙汗药',
+  '迷情药',
+  '迷昏药',
+  '迷离的嫂嫂',
+  '迷药',
+  '迷魂',
+  '迷魂药',
+  '退\\\\出\\\\党\\\\团\\\\队',
+  '退党',
+  '逃亡艳旅',
+  '透视眼睛',
+  '透视眼镜',
+  '递进民主',
+  '避孕膜',
+  '邓恢林',
+  '邓派',
+  '邓颖超日记',
+  '邪恶的党',
+  '邪教',
+  '郭伯雄',
+  '鄧小平',
+  '酒店按摩',
+  '酣乐欣',
+  '金伯帆',
+  '金晶的嫌疑人分析',
+  '金麟岂是池中物',
+  '钢珠手枪',
+  '钦点接班人',
+  '铁血师',
+  '铅弹',
+  '销售军用手枪',
+  '长狗',
+  '门徒会',
+  '防区和任务',
+  '防爆喷雾剂',
+  '防爆电击枪',
+  '防身枪',
+  '阿兵哥言语录',
+  '阿凡提机',
+  '阿姨的偷窥',
+  '阿姨诱奸',
+  '阿娇艳照',
+  '阿娇裸照',
+  '阿扁推翻',
+  '阿里布达年代记',
+  '陆军部署',
+  '陆独',
+  '陈shuibian',
+  '陈冠希裸照',
+  '陈娘宇下台',
+  '陈希同',
+  '陈水扁',
+  '陈良宇',
+  '陪侍',
+  '陪聊',
+  '陶驷驹',
+  '集体抗议',
+  '零八奥运会公式',
+  '雷管',
+  '霰弹',
+  '露乳图',
+  '露毛',
+  '露点',
+  '露穴',
+  '露胸图',
+  '露阴',
+  '青楼十二房',
+  '青海无上师',
+  '革命无罪',
+  '鞭满',
+  '顶帖器',
+  '顶贴机',
+  '领导人最强大阵容',
+  '领导人最强阵容',
+  '领导忽悠百姓叫号召',
+  '风尘劫',
+  '风月大陆',
+  '风流名妓',
+  '风骚侍女',
+  '风骚少妇',
+  '饲养基地',
+  '香功',
+  '香港GHB水',
+  '香港GHB迷幻水',
+  '香港六合彩',
+  '香港彩',
+  '香港暴乱',
+  '香港暴乱分子',
+  '香港独立',
+  '香港生子',
+  '香港马会',
+  '马加爵',
+  '骆冰淫传',
+  '骚女',
+  '骚妹',
+  '骚媚春情',
+  '骚水',
+  '骚穴',
+  '骚逼小说黄色小说',
+  '高干子女',
+  '高干子弟',
+  '高校暴乱',
+  '高校群体事件',
+  '高校骚乱',
+  '魏京生',
+  '魔界活动转区',
+  '魔难论',
+  '鸟巢最少死',
+  '鸟巢缺陷',
+  '鸡吧',
+  '鸡奸骚穴骚水',
+  '鸡巴',
+  '鹿鼎记趣',
+  '麻痹',
+  '麻醉乙醚',
+  '麻醉弹',
+  '麻醉枪',
+  '麻醉钢枪',
+  '黄 牙 签',
+  '黄段子',
+  '黄海暗杀',
+  '黄牙签',
+  '黄色图片',
+  '黄色小电影',
+  '黄色小说',
+  '黄色激情小电影',
+  '黄色电影',
+  '黄色网站',
+  '黄菊早黄',
+  '黄菊遗孀',
+  '黎阳平',
+  '黑匣子最后',
+  '黑天使',
+  '黑星女侠',
+  '黑灯舞厅',
+  '黑窑奴役',
+  '龙虎斗',
+  '龚道安',
+  '龟头',
+  '窊',
+  '窊',
+  '屄',
+  '铊',
+  '肏',
+  '贱',
+  '柴铃',
+  '阴b',
+  '暴菊',
+  '肏穴',
+  '摸奶',
+  '肏破',
+  '毒豺',
+  '操屄',
+  '习帝',
+  '西独',
+  '露穴',
+  '漏逼',
+  '+群',
+  '鸡巴',
+  '习卒',
+  '伪币',
+  '轮操',
+  '骚水',
+  '瘟b',
+  '宽衣',
+  '色区',
+  '被日',
+  '烂人',
+  '丙腈',
+  '肏干',
+  '汽狗',
+  '卖号',
+  '嫖娼',
+  '潮喷',
+  '法仑',
+  '阴毛',
+  '爆操',
+  '鸦片',
+  '菜B',
+  '淫液',
+  '娘的',
+  '屄友',
+  '老逼',
+  '傻毕',
+  '揉乳',
+  '苗刀',
+  '二屄',
+  '插比',
+  '姓习',
+  '卖比',
+  '日您',
+  '反华',
+  '遗精',
+  '娘B',
+  '卖B',
+  '老比',
+  '叫床',
+  '症腐',
+  '砝抡',
+  '妓女',
+  '骚货',
+  '肉棍',
+  '乱伦',
+  '厕奴',
+  '扒穴',
+  '操死',
+  '臭b',
+  '骚洞',
+  '贱奴',
+  '黑屄',
+  '胸推',
+  '操蛋',
+  '气狗',
+  '房事',
+  '椒乳',
+  '做爱',
+  '孬种',
+  '肉缝',
+  '嫩逼',
+  '露B',
+  '潮吹',
+  '连任',
+  '支那',
+  '售号',
+  '气皇',
+  '骚屄',
+  '裸窷',
+  '会阴',
+  '妈庇',
+  '卧艹',
+  '插屄',
+  '操你',
+  '喷潮',
+  '手枪',
+  '砒霜',
+  '嘛批',
+  '赌博',
+  '肛塞',
+  '共奴',
+  '插B',
+  '煞笔',
+  '射了',
+  '插暴',
+  '枪刺',
+  '阴唇',
+  '瘪三',
+  '玉图',
+  '透视',
+  '肏她',
+  '蜜穴',
+  '弹夹',
+  '兽交',
+  '一尊',
+  '肉茎',
+  'ｂ样',
+  '鸡8',
+  '文爱',
+  '裸陪',
+  '乳交',
+  '代开',
+  '淫荡',
+  '鸡八',
+  '色b',
+  '警奴',
+  '援交',
+  '3p',
+  '喷粪',
+  '阴屄',
+  '气枪',
+  '插穴',
+  '操妻',
+  '赌球',
+  '插爆',
+  '露阴',
+  '穴痒',
+  '色色',
+  '屄里',
+  '狠肏',
+  '后入',
+  '肏你',
+  '白洁',
+  '党匪',
+  '达癞',
+  '爆菊',
+  '滥逼',
+  '逼样',
+  '叫鸡',
+  '代练',
+  '弩弓',
+  '暴干',
+  '赌马',
+  '菊门',
+  '婊子',
+  '羽卒',
+  '夹阴',
+  '习朝',
+  '抽叉',
+  '漏乳',
+  '套弄',
+  '口射',
+  '倒习',
+  '血b',
+  '菊爆',
+  '冰毒',
+  '政俯',
+  '日你',
+  '习胖',
+  '直刀',
+  '烂屌',
+  '辱包',
+  '老b',
+  '肉壁',
+  '我草',
+  '猎弩',
+  '加V',
+  '狗卵',
+  '交媾',
+  '堕淫',
+  '老B',
+  '密穴',
+  '搔b',
+  '白砒',
+  '贱种',
+  '暴淫',
+  '美屄',
+  '舔屄',
+  '装屄',
+  '妈批',
+  '巨乳',
+  '警徽',
+  '打炮',
+  '死逼',
+  '阴水',
+  '插我',
+  '舔蛋',
+  '日屄',
+  '操黑',
+  '烂b',
+  '我靠',
+  '干你',
+  '肿锅',
+  '淫洞',
+  '插你',
+  '光气',
+  '蜜液',
+  '淫图',
+  '法愣',
+  '骚B',
+  '弱智',
+  '伪钞',
+  '退党',
+  '骚妈',
+  '后穴',
+  '汽枪',
+  '舔脚',
+  '髙潮',
+  '僵贼',
+  '瘟B',
+  '含屌',
+  '猎枪',
+  '阳物',
+  '笨屄',
+  '国母',
+  '性交',
+  '穴内',
+  '蜜洞',
+  '舔阴',
+  '秃鹰',
+  '开嘌',
+  '拔屄',
+  '阴穴',
+  '肏死',
+  '操逼',
+  '卖逼',
+  '颜射',
+  '操爽',
+  '傻x',
+  '包夜',
+  '搔穴',
+  '插她',
+  '傻逼',
+  '泡友',
+  '索曼',
+  '荡妇',
+  '女屄',
+  '阴胫',
+  '巨奶',
+  '傻X',
+  '骚妇',
+  '假钞',
+  '步枪',
+  '淫照',
+  '特码',
+  '拳交',
+  '食屎',
+  '汪岷',
+  '恋足',
+  '笨逼',
+  '嫩穴',
+  '脑残',
+  '骚母',
+  '操穴',
+  '嫩b',
+  '操B',
+  '淫穴',
+  '菊暴',
+  '发浪',
+  '三退',
+  '今上',
+  '肛交',
+  '邪党',
+  '淫奸',
+  '肏入',
+  '约炮',
+  '大麻',
+  '肉欲',
+  '揉奶',
+  '阴蒂',
+  '拱傥',
+  '发缥',
+  '智障',
+  '小穴',
+  '杂碎',
+  '菊穴',
+  '性器',
+  '真枪',
+  '骚穴',
+  '孤儿',
+  '习近',
+  '烂逼',
+  '军刀',
+  '拱谠',
+  '去死',
+  'j吧',
+  '脱聊',
+  '女奴',
+  '淫贱',
+  '政腐',
+  '嫩屄',
+  '禽兽',
+  '外阴',
+  '小屄',
+  '欠日',
+  '艹你',
+  '屄毛',
+  '发漂',
+  '骚b',
+  '二逼',
+  '淫魔',
+  '抠b',
+  '男奴',
+  '淫水',
+  '傻B',
+  '跳刀',
+  '习李',
+  '射奶',
+  '吞精',
+  '3退',
+  '吗的',
+  '舔穴',
+  '干穴',
+  '吗比',
+  '硼烷',
+  '淫娃',
+  '深喉',
+  '双乳',
+  '逼毛',
+  '抽插',
+  '换妻',
+  '裸聊',
+  '湿了',
+  '骚婊',
+  '娘b',
+  '臭B',
+  '插b',
+  '轮暴',
+  '台独',
+  '亮屄',
+  '妈逼',
+  '卵蛋',
+  '塔崩',
+  '裸干',
+  '日烂',
+  '贱比',
+  '沙比',
+  '匕首',
+  '妈B',
+  '退谠',
+  '操肿',
+  '麻古',
+  '9评',
+  '招鸡',
+  '舔逼',
+  '浪妇',
+  '阴茎',
+  '发瞟',
+  '骚比',
+  '习总',
+  '港独',
+  '肉穴',
+  '抠逼',
+  '妈比',
+  '屌毛',
+  '除习',
+  '共惨',
+  '爆草',
+  '穷比',
+  '虐肛',
+  '维独',
+  '骚乳',
+  '粉穴',
+  '校鸡',
+  '骚批',
+  '奶头',
+  '曹你',
+  '手狗',
+  'j八',
+  '荡女',
+  'b痒',
+  '警灯',
+  '阴道',
+  '贱B',
+  '群p',
+  '沙林',
+  '黑逼',
+  '税嘌',
+  '杂种',
+  '殃视',
+  '反党',
+  '吗啡',
+  '瘟家',
+  '脚奴',
+  '放尿',
+  '鸡奸',
+  '近平',
+  '缅果',
+  '疆独',
+  '龟头',
+  '暴奸',
+  '共贼',
+  '土共',
+  '玩穴',
+  '梭哈',
+  '贱人',
+  '傻批',
+  '火狗',
+  '淫妇',
+  '罩杯',
+  '拱铲',
+  '穷逼',
+  '乳球',
+  '抖m',
+  '翻蔷',
+  '烂屄',
+  '烂B',
+  '温逼',
+  '狗b',
+  '傻b',
+  '扒屄',
+  '阴核',
+  '干炮',
+  '扣扣',
+  '操射',
+  '美穴',
+  '子弹',
+  '召鸡',
+  '假币',
+  '娇喘',
+  '菜逼',
+  '白痴',
+  '性爱',
+  '群奸',
+  '冰砖',
+  '已撸',
+  '粉屄',
+  '肥逼',
+  '菜b',
+  '包帝',
+  '阴精',
+  '枪模',
+  '尼玛',
+  '滴蜡',
+  '操我',
+  '操b',
+  '破处',
+  '屄屄',
+  '江贼',
+  '露b',
+  '浪叫',
+  '波推',
+  '奶罩',
+  '肉棒',
+  '习皇',
+  '肉逼',
+  '舔肛',
+  '狗B',
+  '鸡８',
+  '梦遗',
+  '屁眼',
+  '自慰',
+  '恶党',
+  '香舌',
+  '插逼',
+  '穴穴',
+  '妈b',
+  '藏独',
+  '民猪',
+  '肏屄',
+  '柴玲',
+  '假钱',
+  '嫩B',
+  '煞逼',
+  '本屌',
+  '吗个',
+  '烂比',
+  '赤党',
+  '勃起',
+  '艳情',
+  '人渣',
+  '骚女',
+  '乳爆',
+  '狗比',
+  '加v',
+  '马的',
+  '乳射',
+  '傻屄',
+  '妈蛋',
+  '射精',
+  '日批',
+  '内射',
+  '乙醚',
+  '傻×',
+  '傻叉',
+  '露屄',
+  '暴乳',
+  '吃精',
+  '抠穴',
+  '淫虐',
+  '撒币',
+  '欠干',
+  '招妓',
+  '发嘌',
+  '妈的',
+  '露逼',
+  '歪脖',
+  '卖b',
+  '虐阴',
+  'j巴',
+  '警服',
+  '乳罩',
+  '肉壶',
+  '吃翔',
+  '吃人',
+  '乱交',
+  '湿穴',
+  '锦涛',
+  '乱欲',
+  '想艹',
+  '我操',
+  '性奴',
+  '麻果',
+  '螺聊',
+  '美乳',
+  '阴部',
+  '日逼',
+  '贱b',
+  '警帽',
+  '奶子',
+  '舔足',
+  '博彩',
+  '乱轮',
+  '淫秽',
+  '裸舞',
+  '舔b',
+  '甩刀',
+  '烂党',
+  '欠操',
+  '狗操',
+  '买春',
+  '舔B',
+  'b样',
+  '口交',
+  '褪谠',
+  '中珙',
+  '插肛',
+  '3P',
+  'J巴',
+  '贱货',
+  '搔逼',
+  'h漫',
+  '轮奸',
+  '爆乳',
+  '肏娘',
+  '肏我',
+  '双飞',
+  '狗逼',
+  '裆员',
+  '邓狗',
+  '阉狗',
+  '淫亵',
+  '傻卵',
+  '吃屎',
+  '老卵',
+  '嫐屄',
+  '肛屄',
+  '身寸',
+  '肛插',
+  '赌场',
+  '淫逼',
+  '骚逼',
+  '升汞',
+  '共匪',
+  '操鸡',
+  '傻比',
+  '野种',
+  '正腐',
+  '黑鬼',
+  '烂货',
+  '干砲',
+  '婚驴',
+  '白粉',
+  '狗日',
+  '娘比',
+  'B样',
+  'k粉',
+  '短狗',
+  '穴口',
+  '畜生',
+  '笨比',
+  '阳具',
+  '亡共',
+  '傻吊',
+  '弓弩',
+  '卧槽',
+  '狗草',
+  '我日',
+  '群交',
+  '妈个',
+  '铅弹',
+  '诱奸',
+  '双臀',
+  '绳虐',
+  '肉根',
+  '陵辱',
+  '狂操',
+  '婬水',
+  '丁腈',
+  '鸡掰',
+  '日他',
+  '赤匪',
+  '肏这',
+  '肉洞',
+  '褪党',
+  '杀b',
+  '阿片',
+  '贱逼',
+  '老习',
+  '共狗',
+  'b穴',
+  '口爆',
+  '阴户',
+  '修宪',
+  '扌由插',
+  '淫猥娘',
+  '电击枪',
+  '公惨当',
+  '淫间道',
+  '赶你娘',
+  '习主席',
+  '插进去',
+  '烧国旗',
+  '供惨挡',
+  '毛泽西',
+  '浪妹网',
+  '打牌药',
+  '逼很紧',
+  '东伊运',
+  '习仲勋',
+  '亲蛋蛋',
+  '台湾独',
+  '统一教',
+  'jzm',
+  '中国猪',
+  '性服务',
+  '党欺骗',
+  '共残挡',
+  '大j8',
+  '瘟假报',
+  '胡进涛',
+  '习晋平',
+  '毛你娘',
+  '古可叶',
+  '淫书网',
+  '供惨党',
+  '风豔阁',
+  '格斗刀',
+  '加速师',
+  '白虎穴',
+  '塞你母',
+  '哄残挡',
+  '草拟妈',
+  '共掺档',
+  '拱产挡',
+  '工铲谠',
+  '4级片',
+  '退出党',
+  '法轮工',
+  '供产裆',
+  '工产谠',
+  '氧化汞',
+  '真善忍',
+  '插gM',
+  '法轮公',
+  '摸齐乳',
+  '你他妈',
+  '封从德',
+  '韩国狗',
+  '吃女婴',
+  '法囵功',
+  '日一炮',
+  '64式',
+  '卡宾枪',
+  '不换肩',
+  '冲锋枪',
+  '急用钱',
+  '妈炸了',
+  '公铲档',
+  '富民穷',
+  '功惨裆',
+  '买迈肾',
+  '屎你娘',
+  '工残党',
+  '猫贼洞',
+  '法伦功',
+  '瘟加饱',
+  '大乳头',
+  '法克鱿',
+  '小飞狼',
+  '藏青会',
+  '江折民',
+  'e夜情',
+  '性网站',
+  '乙基氰',
+  '大血B',
+  '曰gm',
+  'xjp',
+  '拱残当',
+  'X卧底',
+  '妖狐网',
+  '小乳头',
+  '工残档',
+  '安眠酮',
+  '溴化汞',
+  'x特勒',
+  '狗腿刀',
+  '拱惨裆',
+  '做情爱',
+  '干的爽',
+  '供残党',
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+  '明慧网',
+  '党打死',
+  '拱掺档',
+  '公产党',
+  '泄春光',
+  '公惨裆',
+  '供掺谠',
+  '浮尸国',
+  '法轮共',
+  '批判邓',
+  '胡惊涛',
+  '拱掺裆',
+  '三唑仑',
+  '那吗B',
+  '供掺裆',
+  '清华帮',
+  '臭化西',
+  '就去日',
+  '哄铲当',
+  '番羽墙',
+  '草你妈',
+  '共残党',
+  '卡巴刀',
+  '续一秒',
+  '六合彩',
+  '小卵子',
+  '胡紧逃',
+  '丁子霖',
+  '猎木仓',
+  '去他妈',
+  '舔私处',
+  '真他妈',
+  '咖啡因',
+  '三级片',
+  '公产当',
+  '插Gm',
+  '供铲当',
+  '小逼里',
+  '工产档',
+  '坐着插',
+  '公残档',
+  '哄掺党',
+  '操７８',
+  '你吗b',
+  '弹簧刀',
+  '党灭亡',
+  '袁红冰',
+  '赛她娘',
+  '拱产谠',
+  '哄产党',
+  '轮法功',
+  '法0功',
+  '母狗王',
+  '羟考酮',
+  '妹开苞',
+  '槽你妈',
+  '台du',
+  '干拎娘',
+  '任意显',
+  '舌舔的',
+  '元一夜',
+  '淫妹妹',
+  '有偿肾',
+  '哄铲谠',
+  '插后庭',
+  '龟孙子',
+  '蝴蝶刀',
+  '彭丽圆',
+  '江则民',
+  '拱掺当',
+  '毛台湾国',
+  '毒鼠强',
+  '狗产蛋',
+  '卖K粉',
+  '珙铲谠',
+  '伯莱塔',
+  '中国狗',
+  '警官证',
+  '工铲当',
+  '曰Gm',
+  '红降汞',
+  '奸魔Ⅱ',
+  '吾尔开希',
+  '乌头碱',
+  '酱猪媳',
+  '法轮功*',
+  '小姐上门',
+  '纪念六四',
+  '艳体缠绵',
+  '国产H片',
+  '麦司卡林',
+  '党的邪恶',
+  '炸弹制作',
+  '警衔供应',
+  '丢你老母',
+  '爱液溢出',
+  '添你下面',
+  '痴汉电车',
+  '社会黑暗',
+  '蓝鲸游戏',
+  '六四尾声',
+  '美女高潮',
+  '连弩批发',
+  '足球改单',
+  '江湖淫娘',
+  '六四天安',
+  '5月35',
+  '卖枪QQ',
+  '一夜性网',
+  '提供麻姑',
+  '高潮白浆',
+  '黑灯舞厅',
+  '小姐裸照',
+  '代刷博客',
+  '出售发票',
+  '工口图片',
+  'K粉到货',
+  '杀肖公式',
+  '独立台湾',
+  '你娘个腿',
+  '成人论坛',
+  '射入花心',
+  '淫情贴图',
+  '熟女护士',
+  '浪妹社区',
+  '官官相互',
+  '粗暴执法',
+  '色情影视',
+  '招聘模特',
+  '政治风波',
+  '来回抚摸',
+  '64旁见',
+  '卖海洛因',
+  '嬉游花丛',
+  '买氰化钙',
+  '梦网洪志',
+  '六四屠杀',
+  '调教虐待',
+  '中共喉舌',
+  '雷管出售',
+  '点色论坛',
+  '国产av',
+  '替考托福',
+  '发贴工具',
+  '弯刀出售',
+  '天国乐团',
+  '党收瓜光',
+  '麻醉枪*',
+  '白嫩妹妹',
+  '弓虽女干',
+  '传九退三',
+  '中共戕害',
+  '咪达唑仑',
+  '官匪一家',
+  '动漫色图',
+  '手弩供应',
+  '中共监控',
+  '猎刀转让',
+  '中共险恶',
+  '西藏抗暴',
+  '淫战群P',
+  '同城陪睡',
+  '反攻大陆',
+  '明Hui',
+  '小b崽子',
+  '森林之虎',
+  '喷水性具',
+  '供应麻姑',
+  '中共亵渎',
+  '中共解体',
+  '64死难',
+  '出售香烟',
+  '三去车仑',
+  '金元外交',
+  '无码淫女',
+  '下面的水',
+  '64平反',
+  '按摩服务',
+  '64运动',
+  '弟大物勃',
+  '懂你深浅',
+  '出售此号',
+  '肤白胸大',
+  '广安事件',
+  '强摘器官',
+  '牌分析仪',
+  '愚民政策',
+  '台湾帝国',
+  '平易禁人',
+  '黄色漫画',
+  '流氓警察',
+  '出售雷管',
+  '腐败中国',
+  '中共政权',
+  '专卖警号',
+  '美腿丝足',
+  '激情图片',
+  '上床求欢',
+  '18av',
+  '交警暴力',
+  '支联会*',
+  '中共头子',
+  '修改注单',
+  '六四档案',
+  '64母亲',
+  'ｆｕｃｋ',
+  '活体取肾',
+  '出售硬币',
+  '成人A片',
+  '来气乳房',
+  '弯刀买卖',
+  '北大马会',
+  '喝血社会',
+  '警衔QQ',
+  '六四宣言',
+  '中共独枭',
+  '肾脏供应',
+  '外@@挂',
+  '五氯苯酚',
+  '八九学运',
+  '中国报禁',
+  '64镇压',
+  '鸿利国际',
+  '硝酸高汞',
+  'CP99',
+  '反共复国',
+  '偷窥洗澡',
+  '淫丝荡袜',
+  '两腿之间',
+  '处女被奸',
+  '官官勾结',
+  '臊冰订购',
+  'zf大楼',
+  '投注平台',
+  '作爱电影',
+  '性欲泛滥',
+  '工口游戏',
+  '成人dv',
+  '批发臊冰',
+  '上门小姐',
+  '一党专制',
+  '零八宪章',
+  '警用钱包',
+  'av资源',
+  '中共党魁',
+  '口内爆射',
+  '红潮艳史',
+  'f a轮',
+  '脑子有病',
+  '64血腥',
+  '丝袜美女',
+  '销售迷药',
+  '75事件',
+  '艳照下载',
+  '专卖警衔',
+  'CAOB',
+  '风骚欲女',
+  '窝囊中国',
+  '亚洲无码',
+  '跳蛋器具',
+  '肛门喷水',
+  '肝源供应',
+  '情色图片',
+  'caoB',
+  '迷药销售',
+  '民主斗士',
+  '买乌头碱',
+  '89动乱',
+  '学潮事件',
+  '占领中环',
+  '六he彩',
+  '民不聊生',
+  '供应铀毒',
+  '三个呆婊',
+  '顶得好深',
+  '被迫下台',
+  '成人电影',
+  '矢车菊甙',
+  '打倒中央',
+  '成人a片',
+  '情色聊天',
+  '毛你老母',
+  '莫达非尼',
+  '你它馬的',
+  '激情表演',
+  '六百度四',
+  '八九纪念',
+  '丝袜视频',
+  '有偿捐肾',
+  '车辆牌照',
+  '氟硝西泮',
+  '激情交友',
+  '金弓国狗',
+  '成人表演',
+  '激清表演',
+  '黑色巨根',
+  '人皮面具',
+  '插那吗B',
+  '供应K粉',
+  '出售手铐',
+  '八九见证',
+  '天灭中共',
+  '她NND',
+  '超级公子',
+  '六四暴乱',
+  '观音坐莲',
+  '党喝人血',
+  '马拉戈壁',
+  '政府腐败',
+  '六四之役',
+  '供应白冰',
+  '戳那吗B',
+  '六和谐四',
+  '真钱投注',
+  '旅馆自拍',
+  '寂寞自摸',
+  '粗壮男优',
+  '办理证书',
+  '大波粉b',
+  '官逼民反',
+  '成人视频',
+  '6四学潮',
+  '成人小说',
+  '情色论坛',
+  'yin道',
+  '九二共识',
+  '奴隷调教',
+  '中共当局',
+  '提供麻谷',
+  '乙酸苯汞',
+  '庐江群P',
+  '氰化银钾',
+  '金赞娱乐',
+  '美妻淫记',
+  '腐败大业',
+  '64屠城',
+  '民运人士',
+  '性虐待*',
+  '毛三陪女',
+  '香烟出售',
+  '强奸处女',
+  '车仑工力',
+  '发生关系',
+  '风骚少妇',
+  '丝袜足推',
+  '直销臊冰',
+  '舔jj甜',
+  '情色影院',
+  '天亡中共',
+  '硬币出售',
+  '法.轮功',
+  '妈了个逼',
+  'AK47',
+  'sm调教',
+  '提供K粉',
+  '政府是爷',
+  '中共当权',
+  '负面撤稿',
+  '人皮专卖',
+  '州大批贪',
+  '沧澜曲*',
+  '幼女狗交',
+  '无码丝袜',
+  '此号出售',
+  '六合采*',
+  '六四遇难',
+  '国产偷拍',
+  '日本万岁',
+  '中共谎言',
+  '以茎至洞',
+  '64真相',
+  '皇家娱乐',
+  '小逼崽子',
+  '藏刀销售',
+  '淫色网站',
+  '冰古提供',
+  '耻辱医护',
+  'av快播',
+  'cao我',
+  '九龙论坛',
+  '5p庐江',
+  '官腐民盗',
+  '狼友论坛',
+  '毛塞你母',
+  '小额贷款',
+  '催情春药',
+  '混帐政府',
+  '批发冰油',
+  '他奶奶的',
+  '人妻系列',
+  'Slut',
+  'JIBA',
+  '法轮佛学',
+  '购买警衔',
+  '供应纯古',
+  '奸淫之家',
+  '波大臀翘',
+  '茎候佳淫',
+  '你他馬的',
+  '全裸视频',
+  '护士诱惑',
+  '森林之鹰',
+  '直销砷酸',
+  '大奶美逼',
+  '那娘瘟比',
+  '白虎少妇',
+  '二奶腐败',
+  '多人运动',
+  '勃大精深',
+  '六四死难',
+  '裸体在线',
+  '六四动乱',
+  '惹火身材',
+  '六四之后',
+  '镇压六四',
+  '东北独立',
+  '中共独权',
+  '毛龟孙子',
+  '裸体美男',
+  '驶你老母',
+  '硬币供应',
+  'jiba',
+  '极品人妻',
+  '甲硝西泮',
+  '64时期',
+  '大法洪传',
+  '毛台湾狗',
+  '裸体少妇',
+  '警察殴打',
+  '出售钞票',
+  '股民资料',
+  '逢八必灾',
+  '老汉推车',
+  '毛塞你娘',
+  '以茎制洞',
+  '皇冠平台',
+  '自wei',
+  '毛黑社会',
+  '供应麻谷',
+  '车仑女干',
+  '代办户口',
+  '偷荤二奶',
+  'j情视频',
+  '姐姐开苞',
+  '壹ye情',
+  '温家堡*',
+  'gv动漫',
+  '少妇上门',
+  '注单修改',
+  '拘束调教',
+  '直销冰古',
+  '丝袜足交',
+  '找工总行',
+  '收费祼聊',
+  '中共监狱',
+  'H漫画*',
+  '耻悦人妻',
+  '多维新闻',
+  '中共网特',
+  '淫欲日本',
+  '情趣用品',
+  '大腿根部',
+  'a片试看',
+  '把握鸡遇',
+  '情趣内衣',
+  '中国当局',
+  '考试包过',
+  '缩紧后庭',
+  '性福人生',
+  '马勒戈壁',
+  '强制捐款',
+  '64惨案',
+  '办理学历',
+  '迷烟专卖',
+  '代发广告',
+  '砝仑大砝',
+  '嫖妓安全',
+  '倒行逆施',
+  '假烟出售',
+  '火药制作',
+  '帝一官网',
+  '提供砷酸',
+  '平反64',
+  '个邪的党',
+  '诱惑视频',
+  '农村腐败',
+  '美臀嫰穴',
+  '太恩制作',
+  '官员流氓',
+  '64风波',
+  '美女祼聊',
+  '阴小撕大',
+  '淫女老师',
+  '卖地财政',
+  '中共散毒',
+  '黄色网站',
+  '娇艳人生',
+  '地狱召唤',
+  '痞子治国',
+  '性生活*',
+  '仿钞出售',
+  '代理发票',
+  '89风波',
+  '出售账号',
+  '性趣玩具',
+  '猪狗不如',
+  '替马西泮',
+  '中共流氓',
+  '弯刀提供',
+  '精子泥棒',
+  '猎刀销售',
+  '有批不日',
+  '古柯买卖',
+  '成人图片',
+  '供应氯仿',
+  '求人包养',
+  '批发纯古',
+  '六四血腥',
+  '想强奸你',
+  '枪淫少妇',
+  '巨棒出击',
+  '欧美av',
+  '商务伴游',
+  '手弩批发',
+  '中共灭亡',
+  '勃朗宁刀',
+  '色情小说',
+  '肝脏供应',
+  '恶女戏夫',
+  '海豹M9',
+  '肛奴臀推',
+  '真人祼聊',
+  '出售外挂',
+  '供应警号',
+  '托福代考',
+  '翻墙工具',
+  '推翻中共',
+  '女人的洞',
+  '普斯普剂',
+  '毛文化部',
+  '极度诱惑',
+  '大法弟子',
+  '六四运动',
+  '出售警衔',
+  '送养宝宝',
+  '大波粉B',
+  'gv资源',
+  '奴隶调教',
+  '台湾总统',
+  '纵欲返古',
+  '中共统治',
+  '泽民轮功',
+  '淫乱日记',
+  '处女开包',
+  '背德处女',
+  '兼职陪睡',
+  '退团声明',
+  '中后付款',
+  '至尊狼威',
+  '精液四射',
+  '少女被插',
+  '六四民运',
+  '少妇熟女',
+  '任期限制',
+  '纪念八九',
+  '妈了隔壁',
+  '把腿掰开',
+  '六四母亲',
+  '脱离中共',
+  '复仇咨询',
+  '两性淫乱',
+  '淫乱熟女',
+  '暴力执法',
+  '氟硝安定',
+  '发票代理',
+  '明hui',
+  '激情电影',
+  '64学潮',
+  '九九娱乐',
+  '欲望少妇',
+  '自制地雷',
+  '陆肆事件',
+  '64之前',
+  '成人网站',
+  '中共暴政',
+  '海外护法',
+  '逢8必灾',
+  '楼凤陪睡',
+  '中共维稳',
+  '六四掺案',
+  '成人漫画',
+  '性感丝足',
+  '共产王朝',
+  '红色恐怖',
+  '情色电影',
+  '毛江戏子',
+  '购买迷药',
+  '中共罪行',
+  '六四图片',
+  '操那吗逼',
+  '大陆当局',
+  '中共愚弄',
+  '官员奸淫',
+  '猎刀专卖',
+  '六四平反',
+  '丝袜按摩',
+  '共产小丑',
+  '直销纯古',
+  '中共非法',
+  '中共欺骗',
+  'QQ外挂',
+  '毛太子党',
+  '亡党亡国',
+  '官场缺德',
+  '妹妹吸精',
+  '少妇偷情',
+  '赛你老母',
+  '复仇接洽',
+  '战术折刀',
+  '中共黑帮',
+  '官界黑暗',
+  '三棱尖刀',
+  '供应杜廷',
+  '爱液横流',
+  '毛想上你',
+  '土匪政权',
+  '转让手弩',
+  '奸淫电车',
+  '流亡政府',
+  '提供鸟枪',
+  '淫欲城堡',
+  '丝袜高跟',
+  '中共不灭',
+  '白浆四溅',
+  '戳那吗逼',
+  '法轮图形',
+  '双腿叉开',
+  '猎刀买卖',
+  '丝袜玉足',
+  '六四真相',
+  '逼你老母',
+  '杀你全家',
+  '猎刀订购',
+  '占领台湾',
+  '亚洲有码',
+  '暖床宝贝',
+  '制作K粉',
+  '清除负面',
+  '楼凤大全',
+  '买真学历',
+  '纪念89',
+  '民运领袖',
+  '驾照代办',
+  '同性服务',
+  '女人的b',
+  '氰化金钾',
+  '买卖婴儿',
+  '两乳之间',
+  '批发锇酸',
+  '法轮一功',
+  '无毒无马',
+  '狼后传奇',
+  '灌满精液',
+  '巨炮兵团',
+  '保过答案',
+  '毛法轮功',
+  '客户资料',
+  '滚那吗B',
+  '苯基硫醇',
+  '淫肉诱惑',
+  '共残主义',
+  '89六四',
+  '艳妇淫女',
+  '刺胡事件',
+  '欧美H片',
+  '历史倒退',
+  '退出中共',
+  '改号软件',
+  '颠覆共党',
+  '批发警衔',
+  '十景缎*',
+  '顶到花蕊',
+  '64尾声',
+  '丁丙诺啡',
+  '乡村春潮',
+  '江泽公审',
+  '64历史',
+  '89运动',
+  '江浙.民',
+  '手弩直销',
+  '中华联邦',
+  'sm女王',
+  '密室淫行',
+  '法轮.功',
+  '偷拍自拍',
+  '八九民运',
+  '七五事件',
+  '制服诱惑',
+  '专业顶帖',
+  '日本有码',
+  '办假学历',
+  '税票代理',
+  '直销g水',
+  '臭不要脸',
+  '烧出腐败',
+  '插进阴头',
+  '挨了一炮',
+  '文凭购买',
+  '亲吻蛋蛋',
+  '卖钱QQ',
+  '中共专制',
+  '代办驾照',
+  '裸体视频',
+  '香香社区',
+  '成人影片',
+  '买卖警衔',
+  '一中一台',
+  '有容奶大',
+  'fa轮功',
+  '皇冠投注',
+  '露出酥胸',
+  '续金瓶梅',
+  '鹿鼎记趣',
+  '延时喷剂',
+  '代办文凭',
+  '垃圾政府',
+  '四川独立',
+  '新疆七五',
+  'SM女王',
+  '茎大物勃',
+  'ＦＵＣＫ',
+  '沙漠之鹰',
+  '送养婴儿',
+  '包哥哥爽',
+  '代写论文',
+  '十八禁*',
+  '考中答案',
+  '粉红爱液',
+  '毛三级片',
+  '放荡青春',
+  '3d轮盘',
+  '中共倒台',
+  '劲奸狂插',
+  '江独裁*',
+  'K粉制作',
+  '掰穴打洞',
+  '供应黄冰',
+  '两性狂情',
+  '自焚伪案',
+  '男根增大',
+  '淫色贴图',
+  '政府无能',
+  '不强自息',
+  'gv下载',
+  '直销警号',
+  '操那吗B',
+  '自制手弩',
+  '屠龙别记',
+  '直销手弩',
+  '党内分裂',
+  '侬着卵抛',
+  '警号专卖',
+  '放线菌酮',
+  '积恶成习',
+  '藏刀供应',
+  '黄金圣水',
+  'g情网站',
+  '64暴乱',
+  '脱给你看',
+  '假rmb',
+  '摸屁股式',
+  '兼职女模',
+  '官官皆贪',
+  '草的你妈',
+  '蟆叫专家',
+  '暴力执政',
+  '药品回收',
+  '自fen',
+  '金彩国际',
+  '迷幻蘑菇',
+  '淫乱奴隶',
+  '倒共救国',
+  '流亡藏人',
+  '苯巴比妥',
+  '舔到你射',
+  '国家软弱',
+  '64真像',
+  '毒品出售',
+  '黑暗政府',
+  '迷烟出售',
+  '别梦成灰',
+  '老毛操比',
+  '轻松赚钱',
+  '法轮尊圣',
+  '中共暴力',
+  '论文代写',
+  '香料精灵',
+  '党的暴政',
+  'K粉qq',
+  '淫摩艳妇',
+  '六河蟹四',
+  '娇艳江湖',
+  '毛驶你母',
+  '六四事件',
+  '红楼遗秘',
+  '回忆六四',
+  '八九风波',
+  '64动乱',
+  '快播H片',
+  '我做骚妻',
+  '代售发票',
+  '供应鸟枪',
+  '萧府之败',
+  '狗娘养的',
+  '包你舒服',
+  '你妈了妹',
+  '美女裸体',
+  '指头插进',
+  '贡傥覆灭',
+  '解体中共',
+  '政治迫害',
+  '廓尔喀刀',
+  '肛虐荒淫',
+  '习江内斗',
+  '农民嫖妓',
+  '纪念64',
+  '小xue',
+  '右丙氧芬',
+  '摸你全身',
+  '弟大勿勃',
+  '成人图库',
+  '无码炮图',
+  '共产党亡',
+  '明慧周报',
+  '中共歪曲',
+  '亚洲情色',
+  '六四镇压',
+  '共慿主义',
+  '官商勾结',
+  '中共太子',
+  '淫妻交换',
+  'FUCK',
+  '直销麻谷',
+  '全脱舞蹈',
+  '安非他明',
+  '全家死光',
+  '供应山奈',
+  '塞你老母',
+  'g情图片',
+  '手弩制作',
+  '三棱刮刀',
+  '卖氰化钙',
+  '艳母淫臀',
+  '淫色少妇',
+  '直销警衔',
+  '女友坊*',
+  '毛胜蒋败',
+  '肛栓母狗',
+  '毛江泽民',
+  '短刀销售',
+  'ghb水',
+  '自制春药',
+  'K粉出货',
+  '中共迫害',
+  '八九学生',
+  '制作炸弹',
+  '激情文学',
+  '做要带套',
+  '两性生活',
+  '魅夜帝国',
+  'K粉电话',
+  '放入春药',
+  '广场事件',
+  '唛可奈因',
+  '脱精而亡',
+  '政府太贪',
+  '亚砷酸钠',
+  '出售炸药',
+  '法律搞乱',
+  '成人影视',
+  '连弩出售',
+  '裸体激情',
+  '硬币批发',
+  'anal',
+  '粉嫩小洞',
+  '皇冠开户',
+  '错那吗逼',
+  '跨下呻吟',
+  '香港建国',
+  '代缴发票',
+  '紧缚淩辱',
+  'ㄙㄞ你母',
+  '89暴乱',
+  '男女蒲典',
+  '专卖麻姑',
+  '腰刀销售',
+  '苯基甲酮',
+  '小姨子穴',
+  '出售护照',
+  '错那吗B',
+  '新全讯网',
+  '金盛国际',
+  '强奸无罪',
+  '毛你大爷',
+  '出售麻姑',
+  '军枪专卖',
+  '最淫官员',
+  '卖乌头碱',
+  '免费A片',
+  '出售甩棍',
+  '硅胶面具',
+  '在线棋牌',
+  '三棱军刺',
+  '内争人权',
+  '08宪章',
+  '日本av',
+  '江ze民',
+  '高仿纸币',
+  'ㄙㄞ你娘',
+  '伊扎布特',
+  '64伤残',
+  '颐使气指',
+  '江总病危',
+  '张开双腿',
+  '党内危机',
+  '脱光衣服',
+  '直销麻姑',
+  '北京动乱',
+  'e◎夜情',
+  '64之役',
+  '工口动画',
+  '我绣你射',
+  '弘法体*',
+  '清理负面',
+  '中共邪恶',
+  '交换夫妻',
+  '税票需要',
+  '64天安',
+  '八九事件',
+  '提供臊冰',
+  '性趣激发',
+  '精尽人亡',
+  '出售军品',
+  'Av影院',
+  '色情电影',
+  '胯下呻吟',
+  'ムㄞ你母',
+  '裸照图片',
+  '89事件',
+  '六四惨案',
+  '淫兽学园',
+  '少女高潮',
+  '集体摸胸',
+  '复仇顾问',
+  '淫乳圣母',
+  '亲自部署',
+  '中共垃圾',
+  'h片网址',
+  '3D轮盘',
+  '专卖手弩',
+  '工资日结',
+  '明慧广播',
+  '六4事件',
+  '洽谈复仇',
+  '普拉西泮',
+  '免费领取',
+  '代考托福',
+  '真空螺舞',
+  '丝袜诱惑',
+  '强开工具',
+  '高价肾源',
+  'fuck',
+  '出售男婴',
+  '痴女吸精',
+  '淫女炮图',
+  '视频作爱',
+  '学百度潮',
+  '招打字员',
+  '阴小湿大',
+  '处女开苞',
+  '上门陪睡',
+  '和你爱爱',
+  '一夜激情',
+  '法轮文化',
+  '合成K粉',
+  '风流教师',
+  '巴克折刀',
+  '洗肠射尿',
+  '欢迎垂询',
+  '人妻中出',
+  '黄色电影',
+  '提供迷烟',
+  '三肖中特',
+  '床上功夫',
+  '胸大有罪',
+  '六四屠城',
+  '异议人士',
+  '国wu院',
+  '狼欲国度',
+  '人妻初夜',
+  '视频激情',
+  '插老师穴',
+  '代人发帖',
+  '乳吻其阴',
+  '法lun',
+  '警方包庇',
+  '股民信息',
+  '批发手拷',
+  '成人动漫',
+  '无套自拍',
+  '黑客改单',
+  '党的暴力',
+  '出售手拷',
+  '藏刀转让',
+  '六合玄机',
+  '代考驾照',
+  '八九学潮',
+  '六四政变',
+  '文革六四',
+  '森林之狼',
+  '89死难',
+  '权钱交易',
+  '十里山路',
+  '塞你老师',
+  '警察打人',
+  '共产极权',
+  '猎刀供应',
+  '出千工具',
+  '内裤奇缘',
+  '64诗集',
+  '色情网站',
+  '紧缚凌辱',
+  '退出共产',
+  '猎刀直销',
+  '逢九必乱',
+  '警衔提供',
+  '反政府*',
+  '腰刀买卖',
+  '警察杀人',
+  '出售山埃',
+  '强奸致死',
+  '赢钱技巧',
+  '警察腐败',
+  '翻墙软件',
+  '党内权争',
+  '欲魔艳史',
+  '激情自拍',
+  '亚砷酸钾',
+  '批发麻谷',
+  '供应特普',
+  '送养孩子',
+  '桑拿技师',
+  '复仇了仇',
+  '党的腐败',
+  '投注娱乐',
+  '免费刷钻',
+  '精液榨取',
+  '六四平暴',
+  '官官相护',
+  '领养孩子',
+  '侬着冈峦',
+  '手弩出售',
+  '熟妇骚器',
+  '初夜无红',
+  '白黄牙签',
+  '成人游戏',
+  '车主数据',
+  '阿波罗网',
+  '风流情妇',
+  '增大增粗',
+  '毛温家宝',
+  '中国病毒',
+  '生徒胸触',
+  '玉蒲团*',
+  '手拷出售',
+  '工口动漫',
+  '肝源收购',
+  '逃亡艳旅',
+  '夫妻作爱',
+  '纳粹中共',
+  '六四风波',
+  '供应手弩',
+  '它NND',
+  '出售处女',
+  '一ye情',
+  '狗腿弯刀',
+  '毛毛贼东',
+  '总加速师',
+  '你她馬的',
+  '64屠杀',
+  '六HE彩',
+  '党的邪教',
+  '你妈卖批',
+  '代理税票',
+  '股民名单',
+  '玛拉戈壁',
+  '蒙古独立',
+  '兲朝真理',
+  '共产专制',
+  '裸体按摩',
+  '中共灭口',
+  '同志作爱',
+  '淫师荡母',
+  '办理证件',
+  '李月月鸟',
+  '64血案',
+  '原味内衣',
+  '手弩专卖',
+  '成人偷拍',
+  '卖钱联系',
+  '马列毒瘤',
+  'hjt传',
+  '供应冰古',
+  '真善忍*',
+  '平反六四',
+  '订购迷烟',
+  'Fuck',
+  '欧美色图',
+  '江氏迫害',
+  '654K',
+  '男根倒模',
+  '收购肾脏',
+  'zd份子',
+  '销售迷烟',
+  '淫虫电影',
+  '折刀专卖',
+  '东突独立',
+  '财阀治国',
+  '毛台湾党',
+  '东亚病夫',
+  '招聘技师',
+  '郴州巨贪',
+  '共产邪恶',
+  '批发砷酸',
+  '中共内斗',
+  'min主',
+  '垃圾中共',
+  '东亚共荣',
+  '偷荤2奶',
+  'K粉订购',
+  '8964',
+  '大纪元*',
+  '硝甲西泮',
+  '江已病危',
+  '金科律玉',
+  '吾尔开西',
+  '人兽杂交',
+  '专业代考',
+  '权贵集团',
+  '一氯乙醛',
+  '红楼绮梦',
+  '驶你老师',
+  '邪恶的党',
+  '执法犯罪',
+  '齐B短裙',
+  '情色影片',
+  '中国肺炎',
+  '胸涛乳浪',
+  '零8宪章',
+  '我秀你射',
+  '工口漫画',
+  '夜场招聘',
+  '幼香帝国',
+  '包爽包射',
+  '免费a片',
+  '无码淫漫',
+  '甲卡西酮',
+  '灭亡中国',
+  '妹妹上门',
+  '黄海刺胡',
+  '告别中共',
+  '中共打压',
+  '之江新军',
+  '64政变',
+  '勿忘六四',
+  '漫步丝足',
+  '贪污腐败',
+  '扑鱼达人',
+  '修改成绩',
+  '棋牌游戏',
+  '丝足服务',
+  '视频美眉',
+  '淫乱电影',
+  '腰刀供应',
+  '售氰化物',
+  '高效春药',
+  '草ni马',
+  '中共迷惑',
+  '巨根男优',
+  '你妈炸了',
+  '上门按摩',
+  '一码中特',
+  '脱离共谠',
+  '国家吞得',
+  '夜场兼职',
+  '警匪勾结',
+  '人妻小说',
+  '政府软弱',
+  '强奸少妇',
+  '性虎色网',
+  '李三共志',
+  '江三条腿',
+  '64民运',
+  '丝袜浪女',
+  '中共无赖',
+  '六肖中特',
+  '一党独裁',
+  '肉体交融',
+  '黄海事件',
+  '六四诗集',
+  'ｊｉｂａ',
+  '变牌道具',
+  '午夜激情',
+  '街头扒衣',
+  '激情裸体',
+  '毛民进党',
+  '诱人双峰',
+  '人妻榨乳',
+  '军火价格',
+  '大 纪元',
+  '包爽爆射',
+  '夜色王朝',
+  '举阳入阴',
+  '官场搞乱',
+  '垃圾游戏',
+  '出售迷药',
+  '银氰化钾',
+  '64学运',
+  '粉红小逼',
+  '苯环利定',
+  '援助交际',
+  '钢弩改装',
+  '腰刀提供',
+  '批发硬币',
+  '电购数据',
+  '玉女吹箫',
+  '雅思代考',
+  '招聘小姐',
+  '中共作恶',
+  '专制政权',
+  '线上投注',
+  '情欲小说',
+  '可多克辛',
+  '警匪一家',
+  '中共血腥',
+  '集体强奸',
+  '中共屠城',
+  '练功群众',
+  '中共镇压',
+  '18岁禁',
+  '在线祼聊',
+  '变态帝制',
+  '股民资源',
+  '茎候佳阴',
+  '六四学潮',
+  '烈火凤凰',
+  '马钱子碱',
+  '红魂网站',
+  '玲珑孽缘',
+  '订购麻姑',
+  '安门事件',
+  '中共独裁',
+  '中央无能',
+  '招代理商',
+  '宾馆群P',
+  '性学教授',
+  '骆冰淫传',
+  '出售油冰',
+  '江派人马',
+  '公产王朝',
+  '手拷批发',
+  '中共邪灵',
+  '一晚八炮',
+  '中华帝国',
+  '批发冰古',
+  '卖假驾照',
+  '肛栓贞操',
+  '无界浏览',
+  '新妻倩如',
+  'A片基地',
+  '国产AV',
+  '兼职妹妹',
+  '离弃供傥',
+  '台湾独立',
+  '党内权力',
+  '性欲较强',
+  '找一夜情',
+  '少妇帐篷',
+  '专卖g水',
+  '红海葱甙',
+  '熟女丝袜',
+  '炸药出售',
+  '情色小说',
+  '贪官卖国',
+  '和奸成瘾',
+  '双刃订购',
+  '中央zf',
+  '二穴中出',
+  '勿忘64',
+  '精童欲女',
+  '国营腐败',
+  '销售锇酸',
+  '情趣拉珠',
+  '办理假证',
+  '吸精少女',
+  '道友拿冰',
+  '自焚真相',
+  '丝足地带',
+  '冰古批发',
+  '睡你麻痹',
+  '提供枪弩',
+  '通商宽农',
+  '江戏子*',
+  '官场腐败',
+  '哇哇影院',
+  '供应冰钻',
+  '供应臊冰',
+  'av影院',
+  '视频坐爱',
+  'yin唇',
+  '代办执照',
+  '毋忘六四',
+  '供应砷酸',
+  '插深一点',
+  '他NND',
+  '北京当局',
+  '二奶大奖',
+  '出千技巧',
+  '山村情事',
+  'ムㄞ你娘',
+  '有幼女嫖',
+  '重弩转让',
+  '兼zhi',
+  '二奶大赛',
+  '办理文凭',
+  '全根插入',
+  '六四血案',
+  '小比崽子',
+  '批发手弩',
+  '氯硝西泮',
+  '寂寞少妇',
+  'cunt',
+  '供应锇酸',
+  '政府黑幕',
+  '嫖妓指南',
+  '六四大屠',
+  '毛驶你娘',
+  '近亲相奸',
+  '腰刀转让',
+  '色BB吧',
+  '看牌软件',
+  '腐败的党',
+  '视频脱衣',
+  '原味丝袜',
+  '买了个婊',
+  '毋忘64',
+  '二乙噻丁',
+  '那吗瘟比',
+  '性福无限',
+  '供应山埃',
+  '怀念64',
+  '腰刀专卖',
+  '毛一夜情',
+  '艳舞淫业',
+  '红色贵族',
+  '天要灭中',
+  '动漫H片',
+  '警察暴力',
+  '六四学运',
+  '干的你m',
+  '89学潮',
+  '聘男公关',
+  '法轮大法',
+  '法车仑功',
+  '无套片片',
+  '武汉病毒',
+  '活摘器官',
+  '中共恶霸',
+  '打倒中国',
+  '考前答案',
+  '迷药专卖',
+  '64之后',
+  '三个代婊',
+  '公安恶人',
+  '徐才厚*',
+  '妹妹骚图',
+  '在家赚钱',
+  '模特上门',
+  '那吗错比',
+  '性福联盟',
+  '代理票据',
+  '代卖发票',
+  '订购冰古',
+  '中共装阔',
+  '逢9必乱',
+  '在线投注',
+  '习仲勋*',
+  '西布曲明',
+  '买卖臊冰',
+  '短刀专卖',
+  '奶挺臀翘',
+  '变号软件',
+  '订购g水',
+  '狗狼养的',
+  '车主名录',
+  '人妻熟女',
+  '六四纪念',
+  '全裸自拍',
+  '寻一夜情',
+  '制作炸药',
+  '毛的淫威',
+  '连続失禁',
+  '执法犯法',
+  '官商暴利',
+  '共字玄机',
+  '天天情色',
+  '重铬酸钠',
+  '壮阳延时',
+  '政府太黑',
+  '64事件',
+  '激情视频',
+  '真善忍?',
+  '又鸟女干',
+  '黑恶公安',
+  '腰刀订购',
+  '尼美西泮',
+  '专卖迷药',
+  '插那吗逼',
+  '激情大片',
+  '绝食抗议',
+  '吸精痴女',
+  '公关招聘',
+  '倍它洛尔',
+  '寻求六四',
+  '共产无赖',
+  '进入体内',
+  '成人卡通',
+  '89纪念',
+  '三氯甲烷',
+  '舔xue',
+  '中共走狗',
+  '低价出售',
+  '三级电影',
+  '政府垃圾',
+  '法一轮功',
+  '全家死绝',
+  'luo聊',
+  '大法学员',
+  '武力统一',
+  '64遇难',
+  '肾源供应',
+  '供应氰气',
+  '6四事件',
+  '脱离共党',
+  '全套服务',
+  '番木鳖碱',
+  '情趣玩具',
+  '领养宝宝',
+  '观音法门',
+  '64纪念',
+  '代刻印章',
+  '搞个处女',
+  '武汉肺炎',
+  '中共王朝',
+  '现代逍遥录',
+  'whore',
+  '赵氏弩订购',
+  '直销迷魂水',
+  'gong党',
+  '供应神仙糖',
+  '中共的棺材',
+  '射的她满脸',
+  'chou插',
+  '乡村野疯狂',
+  '批发乙烯砜',
+  '扑克扫描器',
+  '西北大通炕',
+  '出售网银卡',
+  '烟雾弹制作',
+  '中南海斗争',
+  '中共的流氓',
+  '赵氏弩出售',
+  '钻石冰订购',
+  '游戏机破解',
+  '法*轮*功',
+  '保罗真垃圾',
+  '逼里有千秋',
+  '建国门事件',
+  '甲氧麻黄酮',
+  '出售钢珠弩',
+  '摆脱党文化',
+  '6.4运动',
+  '欲望候车室',
+  '白牙签直销',
+  '出售借记卡',
+  '痛批政法委',
+  '遥控麻将机',
+  '供应听话药',
+  '手机卡复制',
+  '订购赛洛新',
+  '批发砷化氢',
+  '你妈了个b',
+  '供应麦角醇',
+  '提供打鸟枪',
+  '直销冰牙签',
+  '迷魂水订购',
+  '提供迷魂粉',
+  '高价收肾脏',
+  '校花沉沦记',
+  '可待因销售',
+  '办假房产证',
+  '射出张柏汁',
+  '野战刀转让',
+  '听话水专卖',
+  '白牙签到货',
+  '真 善 忍',
+  '黄牙签配方',
+  '批发磷化锌',
+  '直销喵喵药',
+  '未成年接客',
+  '掌心雷QQ',
+  '销售赛洛新',
+  '推翻共产党',
+  '羰基镍直销',
+  '白牙签提供',
+  '失意粉出售',
+  '皇冠注投网',
+  '直销开心水',
+  '限制片下载',
+  '晚上有奶摸',
+  '供应氟乙酸',
+  '插入宋祖阴',
+  '干 你 妈',
+  '流氓政府*',
+  '政府是大爷',
+  '经营汽狙狗',
+  '供应氯化锑',
+  '野战刀批发',
+  '中共的暴力',
+  '翻墙的工具',
+  'A片大放送',
+  '法-轮-功',
+  'x到喷屎尿',
+  '夜来香社区',
+  '爱爱的时候',
+  '醋氢可待因',
+  '花和尚地址',
+  '喵喵药直销',
+  '买卖苍蝇粉',
+  '供应羰基铁',
+  '直销朝鲜冰',
+  '维吾尔人权',
+  '毛你爷爷的',
+  '批发水果冰',
+  '出售失忆药',
+  '直销敌杀磷',
+  '供应田乐磷',
+  '国家的黑暗',
+  '中共特务*',
+  '高价收肾源',
+  '失忆粉供应',
+  '供应氰化钙',
+  '星光伴我淫',
+  '讨伐中宣部',
+  '傥不等于国',
+  '毛敬国神社',
+  '８.9事件',
+  '新唐人晚会',
+  '批发黄麻素',
+  '毛泽东黑洞',
+  '红潮谎言录',
+  '失忆粉批发',
+  '自制烟雾弹',
+  '警/用钱包',
+  '供应迷晕药',
+  '喵喵药订购',
+  '信用卡批发',
+  '迷魂药出售',
+  '出售银行卡',
+  '批发钢珠弩',
+  '天安门事变',
+  '开他敏直销',
+  '中共的打手',
+  '武士刀专卖',
+  '白牙签出售',
+  '提供羰基镍',
+  '张 伯 笠',
+  '楼凤信息网',
+  '代理增值票',
+  '迷晕药提供',
+  '美女捰聊网',
+  '大 纪 元',
+  '逼里说快板',
+  '批发打鸟枪',
+  '反抗共产党',
+  '射钉枪改装',
+  '包你爽到射',
+  '政府太无能',
+  '钢珠弩供应',
+  '4事件89',
+  '公安打死人',
+  '八旗娱乐网',
+  '毛泽东暴君',
+  '掌心雷出售',
+  '开心水出售',
+  '中共的烂疮',
+  '法十轮十功',
+  '三氧化二砷',
+  '批发甲基肼',
+  '拿着江泽民',
+  '直销可待因',
+  '直销砷化氢',
+  '批发氯磺酸',
+  '大街操过b',
+  '提供甲基肼',
+  '白牙签订购',
+  '供应敌恶磷',
+  '反共游击队',
+  '裸体聊天室',
+  '真、善、忍',
+  '供应氰化镉',
+  '喵喵药提供',
+  '供应黄麻素',
+  '逍遥丸出售',
+  '官商齐勾结',
+  '有声h小说',
+  '发piao',
+  '销售阿桔片',
+  '淫乱秘史*',
+  '中共的谎话',
+  '美女b毛图',
+  '提供磷化锌',
+  '供应敌杀磷',
+  '李宗瑞种子',
+  '被女人玩弄',
+  '订购阻击弩',
+  '直销听话水',
+  '毛是个怪胎',
+  '处女全过程',
+  '重亚硒酸钠',
+  '黄牙签到货',
+  '专卖钢珠弩',
+  'h游戏下载',
+  '订购开心水',
+  '供应54枪',
+  '射雕黄蓉传',
+  '直销甲基肼',
+  '失身粉专卖',
+  '中共的恶行',
+  '你妈啦Bi',
+  '苍蝇粉供应',
+  '找1夜晴网',
+  '64小时绞',
+  '轰炸天安门',
+  '供应掌心雷',
+  '425事件',
+  '逍遥丸供应',
+  '可待因供应',
+  'Biao子',
+  '打倒国民党',
+  '奥nmd运',
+  'av播放器',
+  '提供迷魂水',
+  '供应军用刀',
+  '官场潜规则',
+  '中共的恶戏',
+  '批发迷奸药',
+  '操他老祖宗',
+  '古柯碱供应',
+  '出售假学历',
+  '供应摇头糖',
+  '专卖警用棍',
+  '订购水果冰',
+  '农民叫操比',
+  '性信息交友',
+  '供应白牙签',
+  '叶倩彤全集',
+  '迷奸药专卖',
+  '喝毒奶长大',
+  '撅起大白腚',
+  '都市品香录',
+  '法(轮)功',
+  '法.轮.功',
+  'falun',
+  '法l轮l功',
+  '供应黎城面',
+  '无声猫出售',
+  '共产党独裁',
+  '出售失身粉',
+  '执法者犯法',
+  '中国之毁灭',
+  '潘金莲导航',
+  '佛怀煽仇录',
+  '红朝谎言录',
+  '人妻送友骑',
+  '中共的罪恶',
+  '供应氟化硼',
+  '提供钻石冰',
+  '失忆粉订购',
+  '九十三运动',
+  'SM调教类',
+  '淫口乱乳录',
+  '迷魂粉订购',
+  'x卧底下载',
+  '供应四乙锡',
+  '批发敌杀磷',
+  '两百斤麦子',
+  '香港伦理片',
+  'zuoai',
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+  '隐形摄像机',
+  '中共的险恶',
+  '掌心雷销售',
+  '迷晕药直销',
+  '共产党邪教',
+  '江泽民情妇',
+  '当官的贪污',
+  '诱惑，视频',
+  '供应黄体酮',
+  '黄牙签订购',
+  '就是处女少',
+  '出售储蓄卡',
+  '公猪操母猪',
+  '给你的精液',
+  '宿舍拍艳照',
+  '供应罂粟壳',
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+  '办理国安证',
+  '黄牙签出货',
+  '大法修炼者',
+  '谷露影院网',
+  '供应磷化锌',
+  '处女终结者',
+  '摸nai门',
+  '逼里啥都有',
+  '诚信代考网',
+  '名刀网出售',
+  'Ｘ到喷屎尿',
+  '全天全天射',
+  '销售左啡诺',
+  '搔妹妹黄站',
+  '共一产一党',
+  '娇宠水芙蓉',
+  '办理行驶证',
+  '供应羰基镍',
+  '批发卡西酮',
+  '中国的腐败',
+  '订购山奈钾',
+  '批发羰基氟',
+  '盐酸羟亚胺',
+  '供应二恶英',
+  '订购阿桔片',
+  '供应立克命',
+  'ｘ到喷屎尿',
+  '俺去也ａｖ',
+  '插的好舒服',
+  '九评共产党',
+  '母子乱乱论',
+  '出售资格正',
+  '雪山狮子旗',
+  '寻找夜夜情',
+  '央视是变态',
+  '失意粉销售',
+  '西藏要独立',
+  '冰牙签qq',
+  '迷魂粉出货',
+  'sai你母',
+  '甲基乙基酮',
+  '历史的伤口',
+  '六四资料馆',
+  '逼里好风流',
+  '苍蝇粉订购',
+  '邪恶江泽民',
+  '六．四运动',
+  '党在搞社会',
+  '毛泽东侄子',
+  '销售掌心雷',
+  '共产党倒台',
+  '六.四惨案',
+  '提供失忆药',
+  '苍蝇粉购买',
+  '提供掌心雷',
+  '公务员打人',
+  '提供氯乙酸',
+  '香港赛马会',
+  '供应碘化氰',
+  '代办信用卡',
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+  '勾著肛鹮壁',
+  '10里山路',
+  '三挫仑qq',
+  '办假毕业证',
+  '女人是垃圾',
+  '批准邓贵大',
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+  '约会强暴药',
+  '制幻剂出售',
+  'cao你妈',
+  '万家乐注册',
+  '毛泽东皇帝',
+  '让哥摸乳房',
+  '供应甲基肼',
+  '户外军品网',
+  '安徽5p门',
+  '六四周年祭',
+  '短信群发器',
+  '供应冰牙签',
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+  '液态冰出售',
+  '批发假硬币',
+  '供应无水肼',
+  '中南海事件',
+  '吸精小少女',
+  '中南海内幕',
+  '狼友阁论坛',
+  '迷晕药销售',
+  '打到共产党',
+  '办理职称证',
+  '册那娘饿比',
+  '伦敦西藏网',
+  '赵氏弩专卖',
+  '提供丙吡兰',
+  '藏刀专卖网',
+  '白牙签合成',
+  '江择min',
+  '廓尔喀弯刀',
+  'BIAO子',
+  '打鸟枪提供',
+  '法x轮x功',
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+  '自制燃烧弹',
+  '警匪是一家',
+  '中国的衰落',
+  '猎豹弩专卖',
+  '办假身份证',
+  '法？轮？功',
+  '钢珠弩批发',
+  '冷钢刀销售',
+  '东京丰乳妹',
+  '删除负面帖',
+  '消灭共产党',
+  '银联卡出售',
+  '供应氰化汞',
+  '１８岁淫乱',
+  '幼男搞幼女',
+  '中共小丑*',
+  '供应黄牙签',
+  '狼友av网',
+  '出售迷情药',
+  '全球征屁税',
+  '淫の方程式',
+  '出售同学录',
+  '中南海内斗',
+  '胡的接班人',
+  '亚硝酸乙酯',
+  '订购黄麻素',
+  '作★弊★器',
+  '温jia宝',
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+  '批发白牙签',
+  '红宝石娱乐',
+  '强奸朋友妻',
+  '无码小处女',
+  '阳江刀批发',
+  '军品军刺网',
+  '阳江刀专卖',
+  '订购可待因',
+  '中共的嘴脸',
+  '打鸟枪批发',
+  '出售曲马多',
+  '出售监听王',
+  '钢珠弩出售',
+  '江派和胡派',
+  '直销山奈钾',
+  '自制迷魂药',
+  '供应失身粉',
+  '安徽5P门',
+  '办理学生证',
+  '中共的教条',
+  '中共邪教*',
+  '提供假硬币',
+  '批发迷魂粉',
+  '淫情女老师',
+  '苍蝇粉销售',
+  '天灭共产党',
+  '秦氏弩提供',
+  '炮打中宣部',
+  '苍蝇粉提供',
+  '直销听话药',
+  '情人式服务',
+  '黄牙签销售',
+  '嫩嫩的阴阜',
+  'ｆａｌｕｎ',
+  '供应碘化钠',
+  '刺刀专卖网',
+  '警察的暴行',
+  '和阿姨作爱',
+  '法（轮）功',
+  '不锈钢销售',
+  '失忆粉直销',
+  '供应水果冰',
+  '听话水电话',
+  '妻子的小洞',
+  '高仿证供应',
+  '北京找楼凤',
+  '批发山奈钾',
+  '一级黄电视',
+  '供应盐酸氯',
+  '冰K粉出售',
+  'PUSSY',
+  '中共第六代',
+  '开心水提供',
+  '听话水销售',
+  '听话药购买',
+  '氯甲酸甲酯',
+  '复仇一条龙',
+  '供应奶油冰',
+  '喵喵药合成',
+  '邪恶共产党',
+  '提供开心水',
+  '黄牙签出售',
+  '毛泽东独裁',
+  '转让军用刀',
+  '批发冰牙签',
+  '法。轮。功',
+  '乳房露在外',
+  '一夜九次郎',
+  '开心水供应',
+  '解开章子衣',
+  '失意粉供应',
+  '64大屠杀',
+  '供应警官服',
+  '裙中性运动',
+  '白牙签销售',
+  '红楼 绮梦',
+  '提供古柯碱',
+  '钦定接班人',
+  '洗澡，视频',
+  '幼幼片下载',
+  '专售迷晕药',
+  '批发敌恶磷',
+  '白牙签出货',
+  '6.4屠城',
+  '提供氢可酮',
+  'ｐｅｎｉｓ',
+  '假护照办理',
+  '办理军官证',
+  '批发军用刀',
+  '花和尚影视',
+  '继母的爱液',
+  '出售二手弩',
+  '扑克分析仪',
+  '天安门屠杀',
+  '办假户口本',
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+  '提供钢珠弩',
+  'ｐｕｓｓｙ',
+  '粉红的乳头',
+  '野战刀提供',
+  '再试初夜情',
+  '出售黄麻素',
+  '直销开他敏',
+  '六四运动',
+  '火辣，视频',
+  '老 婊 子',
+  '冰牙签供应',
+  '美女全脱图',
+  '巨根的猛烈',
+  '6。4事件',
+  '挺起古巨鸡',
+  '供应保米磷',
+  '龙凤配网站',
+  '出售假.钞',
+  'h动漫快播',
+  'SAOBI',
+  '628事件',
+  'GONG党',
+  'pussy',
+  '利澳现金网',
+  '拍肩粉专卖',
+  '订购喵喵药',
+  '套牌车交易',
+  '卖假身份证',
+  '法/轮/功',
+  '赵氏弩供应',
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+  '远华案黑幕',
+  '供应牙签冰',
+  '冰牙签提供',
+  '狼族娱乐网',
+  '麦角乙二胺',
+  '尝你干坤棒',
+  '直销赛洛新',
+  '听话药批发',
+  'qi枪专卖',
+  '直销钻石冰',
+  '黄se图片',
+  '秦氏弩购买',
+  '大陆独裁者',
+  '失忆粉提供',
+  '黄se网址',
+  '烧法国国旗',
+  '江core',
+  '后宫群芳图',
+  '炸ZF大楼',
+  '办理毕业证',
+  '赵氏弩批发',
+  '供应氯磺酸',
+  '群丑闹中华',
+  '供应钻石冰',
+  '白牙签批发',
+  '打倒共产党',
+  '超淫杂交女',
+  '行贿黑名单',
+  '办理警员证',
+  '天安门惨案',
+  '假硬币直销',
+  '2百斤麦子',
+  '专卖赛洛新',
+  '提供失意粉',
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+  '供应氰化物',
+  '以茎治洞在',
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+  '学chao',
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+  'K粉冰出售',
+  '下半夜在嫖',
+  '信用卡代办',
+  '艳舞聊天室',
+  '直销液态冰',
+  '超hi情趣',
+  '直销磷化锌',
+  '54狗qq',
+  '一氧化二氟',
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+  '追月弩团购',
+  '提供听话药',
+  '听话药供应',
+  '买卖钻石冰',
+  '快播av站',
+  '广西桑拿网',
+  '供应氢氰酸',
+  '激情倮聊网',
+  '中共共产党',
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+  '武林情皇传',
+  '黄se电影',
+  'gang交',
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+  '供应青蒿素',
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+  '直销白牙签',
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+  '提供乙烯砜',
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+  '古月金帛涛',
+  '白牙签配方',
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+  '订购弩qq',
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+  '批发鼻吸剂',
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+  '舔她的花蕊',
+  '退出了中共',
+  '会计证办理',
+  '插进你下面',
+  '处女是贡酒',
+  'e乐博官网',
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+  '党是喝人血',
+  '订购听话药',
+  '批发氯乙酸',
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+  '女被人家搞',
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+  '提供冰牙签',
+  '发仑da发',
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+  '提供喵喵药',
+  '想做你炮友',
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+  '出售人民币',
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+  '仿品军刺网',
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+  '甲基安非他命',
+  '转让绿皮瓦管',
+  '卖黄牙签QQ',
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+  '供应弯刀qq',
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+  'qq专卖纯古',
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+  '卖钻石冰QQ',
+  '全国车主信息',
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+  '提供fm2粉',
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+  '成人午夜电影',
+  '销售网购数据',
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+  '军用54出售',
+  '香烟厂家直销',
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+  'gong铲当',
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+  '共chan当',
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+  '免费g片下载',
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+  '车主信息提供',
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+  '提供五羰基铁',
+  '皇冠备用网址',
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+  '党的流氓本性',
+  '销售警号qq',
+  '绿藜芦生物碱',
+  '夫妻成长日记',
+  '中南海大决战',
+  '免费女Ａ片段',
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+  '供chan档',
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+  '藏刀提供qq',
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+  '订购冰油qq',
+  '中国没有民主',
+  '假六级证qq',
+  'av影片下载',
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+  '江泽民其人*',
+  '提供业主名单',
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+  '战狗',
+  '谢非',
+  '胯下',
+  '乏纶',
+  '熟妇',
+  '口暴',
+  '筏轮',
+  '港警',
+  '陆军',
+  '操他',
+  '江泽',
+  '精童',
+  '姓刁',
+  '法囵',
+  '嫩缝',
+  '卖肝',
+  '淫色',
+  '色情',
+  '网赚',
+  '玉乳',
+  '摸胸',
+  '伐论',
+  '熊炎',
+  '屌他',
+  '鲍彤',
+  '政绩',
+  '密洞',
+  '张展',
+  '豔乳',
+  '投注',
+  '废青',
+  '做鸭',
+  '法纶',
+  '筏纶',
+  '插他',
+  '电狗',
+  '罚伦',
+  '辛亥',
+  '猖妓',
+  '迷奸',
+  '李鹏',
+  '信访',
+  '空军',
+  '淫女',
+  '王丹',
+  '屠城',
+  '砲友',
+  '吹箫',
+  '乳峰',
+  '访民',
+  '罗箭',
+  '薄码',
+  '色欲',
+  '近p',
+  '大乳',
+  '玩逼',
+  '阳痿',
+  '熟母',
+  '黄菊',
+  '武警',
+  '少妇',
+  '砝论',
+  '搞b',
+  '自杀',
+  '媚毒',
+  '二B',
+  '89',
+  '狗干',
+  '汪洋',
+  '下注',
+  '罚抡',
+  '替考',
+  '军狗',
+  '爽片',
+  '砝囵',
+  '鲍朴',
+  '尚勇',
+  '训诫',
+  'h图',
+  '邪挡',
+  '露乳',
+  '江派',
+  '卖血',
+  '雀九',
+  '阀论',
+  '含鸟',
+  '豪乳',
+  '野合',
+  '维园',
+  '轮攻',
+  '毛帝',
+  '颜骑',
+  '九凭',
+  '阴阜',
+  '秘洞',
+  '袭警',
+  '嫩奶',
+  '余杰',
+  '海军',
+  '骚妹',
+  '方斌',
+  '克强',
+  '刹笔',
+  '贪官',
+  '荡妹',
+  '插进',
+  '紫阳',
+  '真主',
+  '雷管',
+  '招奴',
+  '邪傥',
+  '淫乱',
+  '基佬',
+  '邪档',
+  '党禁',
+  '高潮',
+  '乳头',
+  '屌她',
+  '官匪',
+  '窃听',
+  '汉奸',
+  '换肾',
+  'v欣',
+  '血逼',
+  '催情',
+  '乳房',
+  '淫媚',
+  '加微',
+  '64',
+  '乏论',
+  'g点',
+  '屌你',
+  '狗娘',
+  '性病',
+  '嘿咻',
+  '6泗',
+  '肉嫁',
+  '淫唇',
+  '维权',
+  '喉交',
+  '冲塔',
+  '逼奸',
+  '体位',
+  '阿共',
+  '抢支',
+  '密宗',
+  '伐沦',
+  '6四',
+  '疫区',
+  '丝诱',
+  '禾兑',
+  '风水',
+  '缩阴',
+  '嫖客',
+  '阀伦',
+  'z东',
+  '官场',
+  '兽欲',
+  '看批',
+  '中功',
+  '佳阴',
+  '赤化',
+  '无毛',
+  '虐乳',
+  '后庭',
+  '抡功',
+  '罚沦',
+  '淫靡',
+  '裸体',
+  '淫乳',
+  '卖肾',
+  '掰穴',
+  '博讯',
+  '绿营',
+  '幼男',
+  '浓精',
+  '中出',
+  '黄网',
+  '祁建',
+  '川普',
+  '卵子',
+  '机掰',
+  'g片',
+  '毒品',
+  '淫嘴',
+  'ΦΦ',
+  '凸他',
+  '暴奶',
+  '活摘',
+  '自焚',
+  '臧独',
+  '淫腔',
+  '党魁',
+  '华涌',
+  '镇压',
+  '江猪',
+  '脚交',
+  '痴乳',
+  '看胸',
+  '台毒',
+  '淫具',
+  '射爽',
+  '垡轮',
+  '港毒',
+  '子宫',
+  '奸杀',
+  '三陪',
+  '轮功',
+  '蓝营',
+  '陈云',
+  '呻吟',
+  '激插',
+  '好骚',
+  '宪政',
+  '湾台',
+  '鸡院',
+  '碧池',
+  '操烂',
+  '郑义',
+  '法抡',
+  '冤案',
+  '淫货',
+  '逼穴',
+  '彭帅',
+  '戳B',
+  '乏伦',
+  '登基',
+  '兽奸',
+  '筏囵',
+  '屌西',
+  '肉沟',
+  '西臧',
+  '射颜',
+  '贡谠',
+  '自残',
+  '淫棒',
+  '习王',
+  '泽d',
+  '包皮',
+  '刻章',
+  'b嫩',
+  '匪警',
+  '歇逼',
+  '美幼',
+  '精子',
+  '麻谷',
+  '杀毙',
+  '凸我',
+  '几八',
+  '发骚',
+  '番摊',
+  '几巴',
+  '八九',
+  '淫书',
+  '偷欢',
+  '暴政',
+  '小平',
+  '共铲',
+  '撸管',
+  '肖钢',
+  '色逼',
+  '幼幼',
+  '睪丸',
+  '陪睡',
+  '藓鲍',
+  '林彪',
+  '捅B',
+  '淫棍',
+  '奶推',
+  '间谍',
+  '垡抡',
+  '售肾',
+  '玉体',
+  '洪传',
+  '监听',
+  '回教',
+  '静坐',
+  '比样',
+  '台弯',
+  '靓穴',
+  '突厥',
+  '山奈',
+  '射满',
+  '世袭',
+  '车仑',
+  '造爱',
+  '贡傥',
+  '精虫',
+  '凸她',
+  '精水',
+  'g匪',
+  '凌辱',
+  '秘唇',
+  '搞比',
+  '筏伦',
+  '豔照',
+  '里番',
+  '磕药',
+  '脱党',
+  '押大',
+  '恶谠',
+  '洪吟',
+  '媚药',
+  '淫欲',
+  '代办',
+  '六肆',
+  '肉具',
+  '民运',
+  'G点',
+  '九评',
+  '屠华',
+  '淫浪',
+  '食精',
+  '淫奴',
+  '党徒',
+  '献忠',
+  '奸污',
+  '贩毒',
+  '戒严',
+  '希藏',
+  '起义',
+  '欲火',
+  '筏仑',
+  'K粉',
+  '王震',
+  '手铐',
+  '春药',
+  '蠢猪',
+  '独裁',
+  '搞基',
+  '砝仑',
+  '开苞',
+  '占中',
+  '钟共',
+  '复辟',
+  '琼觞',
+  '人妻',
+  '无码',
+  '筏论',
+  '杜廷',
+  '强暴',
+  '筏抡',
+  '罚囵',
+  '性息',
+  '手淫',
+  '伐轮',
+  '淋病',
+  '拉登',
+  '邪警',
+  '幼齿',
+  '发伦',
+  '纵欲',
+  '比卵',
+  '血洗',
+  '江氏',
+  '法论',
+  'j掰',
+  '何频',
+  '贼民',
+  '母奸',
+  '江胡',
+  '罚纶',
+  '黄冰',
+  '法沦',
+  '册老',
+  '讨习',
+  '巨骚',
+  '台盟',
+  '辱华',
+  '专制',
+  '罚仑',
+  '称帝',
+  '耀邦',
+  'h站',
+  '三级',
+  '大烟',
+  '共独',
+  '李禄',
+  '猛插',
+  '性福',
+  '楼凤',
+  '犬交',
+  '妹汁',
+  '骚包',
+  '插干',
+  '六泗',
+  '墙国',
+  '淫情',
+  '性佣',
+  '机巴',
+  '江x',
+  '卖骚',
+  '早洩',
+  '尤权',
+  '狂插',
+  '胴体',
+  '骚乱',
+  '奸情',
+  '幼交',
+  '贪污',
+  '维稳',
+  '嫖妓',
+  '淫威',
+  '军委',
+  '黄图',
+  '坦克',
+  'y户',
+  '温x',
+  '禁片',
+  '砝轮',
+  '狅操',
+  '淫友',
+  '淩辱',
+  '酥胸',
+  'JB',
+  '性虐',
+  '丽媛',
+  '豔尻',
+  '龟毛',
+  '发纶',
+  '坐庄',
+  '伐囵',
+  '酥痒',
+  '美逼',
+  'b毛',
+  '骑她',
+  '麻姑',
+  '精液',
+  '几吧',
+  '淫痴',
+  '美秃',
+  '政f',
+  '大逼',
+  '冰古',
+  '廖晖',
+  '右倾',
+  '挑逗',
+  '发囵',
+  '捅我',
+  '垡沦',
+  '淫B',
+  '喷水',
+  '文贵',
+  '鸡吧',
+  '鸽派',
+  '嗑药',
+  '薄熙',
+  '齐墨',
+  '伐抡',
+  '代孕',
+  '丰胸',
+  '淫片',
+  '氢弹',
+  '封城',
+  '比水',
+  '肛门',
+  '金瓶',
+  '事屎',
+  '反中',
+  '攻台',
+  '性欲',
+  '军妓',
+  '捏弄',
+  '党棍',
+  '朱德',
+  '骚妻',
+  '喷尿',
+  '沦攻',
+  '发春',
+  '鸡鸡',
+  '流淫',
+  '瘟比',
+  '精日',
+  '龟公',
+  '上访',
+  '邓榕',
+  '操比',
+  '民主',
+  '簧片',
+  '野战',
+  '僖宗',
+  '总参',
+  '雷汞',
+  '珐纶',
+  '仕途',
+  '嫩鲍',
+  '学联',
+  '葬独',
+  '鸡女',
+  '废统',
+  '仇共',
+  '明泽',
+  '迫奸',
+  '阀仑',
+  '作爱',
+  '艾芬',
+  '康生',
+  '新党',
+  '国军',
+  '屌我',
+  '珐论',
+  '草妈',
+  '丙酮',
+  '性侵',
+  '欠骑',
+  '安拉',
+  '淫姐',
+  '押小',
+  '逼痒',
+  '阀囵',
+  '色诱',
+  '韩正',
+  '庆红',
+  '恐共',
+  '浴尿',
+  '罗干',
+  '二b',
+  '哒赖',
+  '维尼',
+  '性虎',
+  '女优',
+  '淫艳',
+  '叁退',
+  '捆绑',
+  '民殇',
+  '幼图',
+  'j8',
+  '交配',
+  '臀推',
+  '姫辱',
+  '则民',
+  '露点',
+  '炮友',
+  '龟投',
+  '淫叫',
+  '机8',
+  '两会',
+  'g产',
+  '南蛮',
+  '极左',
+  'AV',
+  '退档',
+  '三P',
+  '国姆',
+  '沦功',
+  '伐仑',
+  '淫汁',
+  '熊焱',
+  '筏沦',
+  '骆源',
+  '扒光',
+  '伐伦',
+  '想舔',
+  '垡囵',
+  '林昭',
+  '凸点',
+  '嫩女',
+  '耽美',
+  '淫獣',
+  '珐囵',
+  '阝月',
+  '胡温',
+  '机吧',
+  '血比',
+  '轮大',
+  '爱液',
+  '乔石',
+  '阀纶',
+  '淫蜜',
+  '射你',
+  '淫肉',
+  '黄祸',
+  '情欲',
+  '骚鸡',
+  '官僚',
+  '邪教',
+  '蓝灯',
+  '干他',
+  '阴囊',
+  '叼远',
+  '逼嫩',
+  '民阵',
+  'jb',
+  '下贱',
+  '八乘八',
+  '强奸魔',
+  '日X妈',
+  '于浩成',
+  'TMD',
+  '干GY',
+  'JI女',
+  '法/轮',
+  '党主席',
+  '假庆林',
+  '孙家正',
+  'ba课',
+  'AV女',
+  '邓派*',
+  '睾丸素',
+  '法$纶',
+  '李弘旨',
+  '看牌器',
+  '九-评',
+  '乔石*',
+  '党中央',
+  '性虎网',
+  '杨焕宁',
+  '隐形耳',
+  '春药*',
+  '李宏智',
+  '神仙水',
+  '王岐山',
+  'gc党',
+  '王三运',
+  '馬英九',
+  '淫驴屯',
+  '全能教',
+  '监听宝',
+  '迷情粉',
+  '刘亚洲',
+  '婴儿汤',
+  '毛你爸',
+  '红卫兵',
+  '法$轮',
+  '赖清德',
+  '乌兰夫',
+  '张志新',
+  'Tmd',
+  '李鸿智',
+  '空空幻',
+  '正悟网',
+  'Ji女',
+  '张先玲',
+  '民一主',
+  '迷魂香',
+  '江八点',
+  '刘延东',
+  '卖心脏',
+  'H动漫',
+  '丝护士',
+  '爆破剂',
+  '5毛党',
+  'di制',
+  '民主墙',
+  '奶奶的',
+  '袁项城',
+  '荣毅仁',
+  '李立国',
+  '出售弩',
+  '刘连昆',
+  '假硬币',
+  '宪 法',
+  '达赖*',
+  '洪 传',
+  '美联社',
+  '国民党',
+  '李小鹏',
+  'Bi样',
+  '灵灵教',
+  '愚民同',
+  '六?四',
+  '艳照门',
+  '起义日',
+  '打台湾',
+  '民主潮',
+  '王忠林',
+  '春欲手',
+  '杜青林',
+  '江泽民',
+  '羰基铁',
+  '菩提功',
+  '捅鸡局',
+  '姜信治',
+  '氯化氢',
+  '迷奸药',
+  '王兆国',
+  '素人娘',
+  '套牌车',
+  '三仙丹',
+  '售单管',
+  '功产谠',
+  '藏字石',
+  '馬万祺',
+  'a片网',
+  '曲马多',
+  '跳大神',
+  '黄坤明',
+  '酐乐欣',
+  '胡石根',
+  '伦理片',
+  '补一炮',
+  '金小胖',
+  '阿芙蓉',
+  '淫贴图',
+  '刘维明',
+  '大血比',
+  '卖角膜',
+  '戴相龙',
+  '共啐党',
+  '李 录',
+  '李洪痣',
+  'FLG',
+  '充气娃',
+  '六四*',
+  '凸女也',
+  'ze东',
+  '胡jt',
+  '推筒子',
+  '痴娇丽',
+  '毛衣战',
+  '伯希来',
+  '一贯道',
+  '功产档',
+  '陆定一',
+  '温宝宝',
+  '民泽江',
+  '贾廷安',
+  '释欲堂',
+  '温云松',
+  '思巢网',
+  '唐元隽',
+  '吴帮国',
+  '邓笑贫',
+  '风月阁',
+  '法~轮',
+  '迷魂烟',
+  '你拳家',
+  '强奸粉',
+  '李中堂',
+  '3唑仑',
+  'FA轮',
+  '珐轮工',
+  '致幻剂',
+  '共产党',
+  '香港国',
+  '许章润',
+  '中联办',
+  '法论公',
+  '89年',
+  '宋庆龄',
+  '色影院',
+  '迷奸粉',
+  '性酒吧',
+  '功铲裆',
+  '警察证',
+  '伊液亲',
+  'gfw',
+  '美少妇',
+  '王全璋',
+  '亲jj',
+  '栗战书',
+  '夹边沟',
+  '总书记',
+  '太阳城',
+  '瓷国人',
+  '苍蝇水',
+  '出售肾',
+  '周永康',
+  '窃听器',
+  '售热武',
+  '洪 吟',
+  '代考*',
+  '王炳章',
+  '钱其琛',
+  '喵喵药',
+  '陈奎元',
+  '张万年',
+  '佬唬机',
+  '啪啪啪',
+  '文 革',
+  '江理论',
+  '极乐岛',
+  '发哨人',
+  '王洪文',
+  '刘淇*',
+  '江人马',
+  '轴永康',
+  '陈一谘',
+  '导爆索',
+  '现场脱',
+  '曹長青',
+  '敌敌畏',
+  '菊花蕾',
+  '反共产',
+  '梦先觉',
+  '天灭中',
+  '相马茜',
+  '贾庆林',
+  '曾荫权',
+  '李总统',
+  '许其亮',
+  '金毛穴',
+  '巫梦缘',
+  '售健卫',
+  '凯他敏',
+  '卖ID',
+  '胡王八',
+  '口吹器',
+  '玛雅网',
+  '韩启德',
+  '茉莉花',
+  '胡启立',
+  '避孕套',
+  '朱溶剂',
+  '刘呈杰',
+  '六九式',
+  '文字狱',
+  '售麻醉',
+  '毛喷你',
+  '邓玉娇',
+  '性与枪',
+  '樱花穴',
+  '张志清',
+  '法;轮',
+  '发伦功',
+  '林昶佐',
+  '刘云山',
+  '拍肩水',
+  '妞上门',
+  '失忆水',
+  'ｔｍｄ',
+  '黄孟复',
+  'AV狼',
+  '山口组',
+  '股民苦',
+  '偷听器',
+  '马万祺',
+  '李金华',
+  '隐窝窝',
+  '卖藏刀',
+  '东突解',
+  '燃烧瓶',
+  '刀努网',
+  '绿坝娘',
+  '欠人骑',
+  '博宝金',
+  '露春红',
+  '四事件',
+  '慰安妇',
+  '妻交换',
+  '蔡英文',
+  '法*纶',
+  '李纪周',
+  '功铲谠',
+  '南波杏',
+  '毛泽东',
+  '陈光诚',
+  '江嫡系',
+  '聂树斌',
+  '朝河兰',
+  '陈子明',
+  '钻石冰',
+  '功掺裆',
+  '俞正声',
+  '陈小江',
+  '梁艳萍',
+  '郭金龙',
+  '她馬的',
+  '公子族',
+  '王胜俊',
+  '一夜欢',
+  '拍肩粉',
+  '陈破空',
+  '天下彩',
+  '购枪网',
+  '碧香亭',
+  '程维高',
+  '安魂网',
+  '皮条客',
+  '成品冰',
+  '东正教',
+  '性息*',
+  '李红志',
+  '陈云*',
+  '售军用',
+  '黑索金',
+  '自焚*',
+  '刻章办',
+  '王若望',
+  '六si',
+  '蒙汉药',
+  '奸插局',
+  '功产裆',
+  '三K党',
+  '神之欲',
+  '孙大午',
+  '藏春阁',
+  '福寿膏',
+  '幼香阁',
+  '毛始皇',
+  '被立王',
+  '汤加丽',
+  '张立昌',
+  '偷欢*',
+  '老虎机',
+  '大记元',
+  '张盼成',
+  '张定发',
+  'FL功',
+  '任弼时',
+  '柳花传',
+  '要泄了',
+  '法轮',
+  '强奸*',
+  '陈巧文',
+  '朱狨基',
+  'GCD',
+  '色窝窝',
+  '发论公',
+  '斯大林',
+  '色狼网',
+  '李建国',
+  '法~抡',
+  '杜崇烟',
+  '柯庆施',
+  '功产党',
+  'a片*',
+  '采花堂',
+  '成年网',
+  'er批',
+  'AV片',
+  '迷情药',
+  '李总理',
+  '赖昌星',
+  '罗冠聪',
+  '民进党',
+  '回良玉',
+  '做证件',
+  '林慎立',
+  '活摘器',
+  '　侯凯',
+  '余茂春',
+  'jj粗',
+  '69式',
+  '迷香药',
+  '李k强',
+  '共王储',
+  '孙春兰',
+  '法*沦',
+  '新疆叛',
+  '18禁',
+  '共*党',
+  '藏妇会',
+  '能力主',
+  '春宵阁',
+  '高氯酸',
+  '萩原舞',
+  '蒋介石',
+  '穆斯林',
+  '忍伍凡',
+  '共荣圈',
+  '胡耀邦',
+  '大纪园',
+  'ｑｑ堂',
+  '伊斯兰',
+  '69试',
+  '余浚聪',
+  '李鸿志',
+  '李铁映',
+  '轮盘赌',
+  '吴邦囯',
+  '大花B',
+  '李弘志',
+  '曾q红',
+  '慎海雄',
+  '卢思位',
+  '王立军',
+  '游精佑',
+  '华藏功',
+  '赌币机',
+  '邓xp',
+  '华春莹',
+  '毛zx',
+  '群阴会',
+  '戴秉囯',
+  '胡春华',
+  '找枪手',
+  '谷开来',
+  '紫极舞',
+  '翻牌器',
+  '开他敏',
+  'b好痒',
+  '无毛穴',
+  '内人党',
+  '看JJ',
+  '白寡妇',
+  '公子党',
+  '芮杏文',
+  '珐仑功',
+  '万艾可',
+  '辛灏年',
+  '张祖桦',
+  '性友谊',
+  '温嫁饱',
+  '假青林',
+  '亚洲色',
+  '法.轮',
+  '福利姬',
+  '十硼氢',
+  '李鹏*',
+  '哌替啶',
+  '国统会',
+  '朝天穴',
+  '迷幻粉',
+  '柔胸粉',
+  '国之母',
+  '伪民运',
+  '蒋彦永',
+  '崔情水',
+  '梁光烈',
+  '门安天',
+  '徐令义',
+  '江氏*',
+  '东京热',
+  '夏川纯',
+  '法^沦',
+  '彭德怀',
+  '罗干*',
+  '凸点装',
+  '卖枪支',
+  '马加爵',
+  '曾庆红',
+  '什叶派',
+  '切听器',
+  '薄一波',
+  '制服狩',
+  '李志绥',
+  '卖答案',
+  '淫乱*',
+  '郭声琨',
+  '曹建明',
+  '办证*',
+  '反修例',
+  '杨传堂',
+  '张春生',
+  '江主席',
+  '男公关',
+  '武警牌',
+  '王建平',
+  '罗　干',
+  '龙虎斗',
+  '监听王',
+  '黎智英',
+  '法~沦',
+  '白莲教',
+  '色迷城',
+  '替利定',
+  '迷药*',
+  '羟亚胺',
+  '朱嘉明',
+  '军官证',
+  '六。四',
+  '李书磊',
+  '中南海',
+  '李屠夫',
+  '吴官正',
+  '温加宝',
+  '失意药',
+  '三去轮',
+  '空椅子',
+  '彭丽媛',
+  '雅蠛蝶',
+  '统战部',
+  '北高联',
+  '董必武',
+  '杀猪粉',
+  '杀人党',
+  '法X功',
+  '藏暴乱',
+  '砷酸汞',
+  '期杀码',
+  '曹庆泽',
+  '伴花眠',
+  '伴我淫',
+  '李鸿忠',
+  '戴秉国',
+  '变牌衣',
+  '母性淫',
+  '发哨子',
+  '寐春卷',
+  '白立忱',
+  '同胞书',
+  '品香堂',
+  '肘永康',
+  '二硝酚',
+  '乖乖水',
+  'gcd',
+  '塔利班',
+  '刘宾雁',
+  '曾道人',
+  '范长龙',
+  '李宏志',
+  '钦本立',
+  '一本道',
+  '脱裤门',
+  '发论功',
+  '党产共',
+  '江恶人',
+  '学运孙中山',
+  '朱熔基',
+  '窃听王',
+  '陈炳德',
+  '寂寞女',
+  '梁国雄',
+  '集中营',
+  '兽兽门',
+  '谢万军',
+  '老虎团',
+  '脱衣艳',
+  '阿罗约',
+  '温加饱',
+  '鸡吧*',
+  '法^纶',
+  '周小川',
+  '屌人也',
+  '闹独立',
+  '吉炳轩',
+  '贺过墙',
+  '迷幻液',
+  'g点棒',
+  '温假保',
+  '乳房*',
+  '汪东兴',
+  '苍蝇粉',
+  '马英九',
+  '张梅颖',
+  '猪容基',
+  '亲民党',
+  '找杀手',
+  '古兰经',
+  '丙吡兰',
+  '新金瓶',
+  '七九式',
+  '干bi',
+  '黄牙签',
+  '敏感瓷',
+  '周先旺',
+  '强暴药',
+  '毒龙转',
+  '火箭军',
+  '傅全有',
+  '曹刚川',
+  '发伦工',
+  '李岚清',
+  '伍绍祖',
+  '冰道友',
+  '王力雄',
+  '射孔弹',
+  '六●四',
+  '苍井优',
+  '扉之阴',
+  '吕秀莲',
+  '李瑞环',
+  '碧玉楼',
+  '张恩照',
+  '红二代',
+  '六？四',
+  '明心网',
+  '屏蔽器',
+  '党禁*',
+  '厉无畏',
+  '偷情网',
+  '高丽棒',
+  '售氯胺',
+  '多人轮',
+  '出售枪',
+  '除报禁',
+  '老ＧＹ',
+  '刘志华',
+  '捕狗药',
+  '黑手党',
+  '摩擦着',
+  '睡妇局',
+  '监听器',
+  '侯德健',
+  '明慧图',
+  '毛电影',
+  '售枪支',
+  '李红痔',
+  '金钱帮',
+  '灵灵派',
+  '吾尔开',
+  '李锡铭',
+  '明慧*',
+  '孙力军',
+  '崔英杰',
+  '发论工',
+  '北岛优',
+  '蒋捷连',
+  '看jj',
+  '办证件',
+  '中，共',
+  '党蛊惑',
+  '属灵教',
+  '陈至立',
+  '两腿间',
+  '不割席',
+  '谭绍文',
+  '法一轮',
+  '四海帮',
+  '朱耀明',
+  '风流媚',
+  '崔情粉',
+  '王希哲',
+  '黄兴国',
+  '民联阵',
+  '江泽慧',
+  '解码器',
+  '催眠水',
+  '全能神',
+  '风尘劫',
+  '高勤荣',
+  '杀它仗',
+  '来爽我',
+  '立克命',
+  '江姐问',
+  '功产挡',
+  '赵品潞',
+  '可待因',
+  '拍肩药',
+  '氢可酮',
+  '奸杀*',
+  '肖亚庆',
+  '大跃进',
+  '苏树林',
+  '催眠药',
+  '胡耀帮',
+  '少修正',
+  '二两粮',
+  '十九届',
+  '何祚庥',
+  '蒋建国',
+  '功铲党',
+  '一液晴',
+  '董瑶琼',
+  '薄熙*',
+  '唐人阁',
+  '三坐仑',
+  '王超华',
+  '喝党酒',
+  '王志珍',
+  '黄　菊',
+  '严家祺',
+  '硝酸钾',
+  '常万全',
+  '李洪智',
+  '功掺档',
+  '黄麻素',
+  '喷个水',
+  '王军涛',
+  '耽美*',
+  '常受教',
+  '豔照门',
+  '肝供应',
+  '售防身',
+  '丁关根',
+  '买藏刀',
+  '淫告白',
+  '陈达钲',
+  '骚姐姐',
+  '曾培炎',
+  '硒酸钠',
+  '夜夜春',
+  '毛后庭',
+  '洗脑班',
+  '宋祖英',
+  '起爆器',
+  '江昏君',
+  '奇屎马',
+  '金瓶梅',
+  '周恩来',
+  '偷拍*',
+  '学自联',
+  '吴邦国',
+  '胡海峰',
+  '延时药',
+  '汽油弹',
+  '钓鱼岛',
+  '桑国卫',
+  '投注网',
+  '柔阴术',
+  '朱容基',
+  '张雪忠',
+  '失身药',
+  'LSD',
+  '法$沦',
+  '元极功',
+  '陈德铭',
+  '由喜贵',
+  '王东明',
+  '宋楚瑜',
+  'AV*',
+  '刘克清',
+  '丁薛祥',
+  '徐文立',
+  '六—四',
+  '候德建',
+  '江书记',
+  '股票歌',
+  '6合彩',
+  '□屙民',
+  '鸽派*',
+  '新唐人',
+  '迷幻水',
+  '高仿真',
+  '摩门教',
+  '唐柏桥',
+  '两肉缘',
+  '封丛德',
+  '3级片',
+  '功掺当',
+  '薄瓜瓜',
+  '陈宗兴',
+  '金正男',
+  '毛派*',
+  '激情片',
+  '九评*',
+  '录入员',
+  'se图',
+  '袁世凯',
+  '余文生',
+  '法^轮',
+  '陈昌智',
+  '路甬祥',
+  '李长春',
+  '徐晓东',
+  'BI样',
+  '陈锡联',
+  '色中色',
+  '杨白冰',
+  '64手',
+  '李洪志',
+  '足脚交',
+  '肉蒲团',
+  '吕京花',
+  '赵海青',
+  '罢ke',
+  '加微信',
+  '销魂殿',
+  '发正念',
+  '售弹药',
+  '林兰香',
+  '淫虫*',
+  '迟浩田',
+  '壮阳药',
+  '入珠环',
+  '新疆国',
+  '蒂巴因',
+  '武藤兰',
+  '法*抡',
+  '全裸*',
+  '混沌决',
+  '司马璐',
+  '王兆囯',
+  '席复活',
+  '凸人也',
+  '炸学校',
+  '淫影院',
+  '手榴弹',
+  '李洪之',
+  '毛新宇',
+  '杨洁篪',
+  '彭真*',
+  '罗富和',
+  '功铲挡',
+  '李先念',
+  '法~纶',
+  '旧民运',
+  '江绵康',
+  '任志强',
+  '王乐泉',
+  '后庭花',
+  '温下台',
+  '病业说',
+  '醋托啡',
+  '断珠蕊',
+  '静思节',
+  '怡情阵',
+  '性息网',
+  '灌满我',
+  '毛舔西',
+  '成人站',
+  '江流氓',
+  '人兽情',
+  '山支山',
+  '激情网',
+  '许万平',
+  '画眉缘',
+  '护士穴',
+  '李宏旨',
+  '艾未未',
+  '李文足',
+  '６。４',
+  '大g元',
+  '刘奇葆',
+  '温如春',
+  '希特勒',
+  '汤光中',
+  '谭震林',
+  '贺国强',
+  '导航狗',
+  '吴学灿',
+  '性之站',
+  '江魔头',
+  '六.四',
+  '功掺党',
+  '毛密洞',
+  '色妹妹',
+  '福音会',
+  '麦角醇',
+  '硝基脲',
+  '孟建柱',
+  '陈慕华',
+  '干ＧＹ',
+  '李小琳',
+  '黑索今',
+  '黄菊　',
+  '妈妈色',
+  '袁腾飞',
+  '潘国平',
+  '卖QQ',
+  '迷欲水',
+  '王世坚',
+  '抽一插',
+  '慈悲功',
+  '吴学谦',
+  'h动画',
+  '甩头丸',
+  '苏贞昌',
+  '粟戎生',
+  '白少康',
+  '李旺阳',
+  '吉跋猫',
+  '刘永川',
+  '张海阳',
+  '迷歼药',
+  '听话水',
+  'm泽东',
+  '失身粉',
+  '毛夜情',
+  '吴　仪',
+  '和平奖',
+  '上访军',
+  '新义安',
+  '赛洛新',
+  '张德江',
+  '门徒会',
+  '百性阁',
+  '萨达姆',
+  '高智晟',
+  '李登辉',
+  '淫片*',
+  '于永波',
+  '周勇军',
+  '广电局',
+  '迷昏口',
+  '何清涟',
+  '会道门',
+  '松岛枫',
+  '王喜斌',
+  '毛远新',
+  '大保健',
+  '制服诱',
+  '九.评',
+  '严隽琪',
+  '无邦国',
+  '苦味酸',
+  '周铁农',
+  '采花网',
+  '姑妄言',
+  '李洪X',
+  '法*轮',
+  '制幻剂',
+  '聂荣臻',
+  '陈一咨',
+  '猪聋畸',
+  '张高丽',
+  '六-四',
+  '性虐待',
+  '淫春堂',
+  '钱运录',
+  '核潜艇',
+  '燃烧弹',
+  '令家党',
+  '乙烯砜',
+  '于大海',
+  '杨尚昆',
+  '催泪弹',
+  '李德生',
+  '无帮过',
+  '闫丽梦',
+  '连缐机',
+  '涂运普',
+  '庆 红',
+  '蒙汗药',
+  '政治犯',
+  '回民暴',
+  '爱田由',
+  '乖乖药',
+  '酒瓶门',
+  '发抡功',
+  '毛上你',
+  '舌头穴',
+  '电视棒',
+  '寂寞男',
+  '徐乐江',
+  '蒋洁敏',
+  '毛片*',
+  '迷魂液',
+  '妇销魂',
+  '增大液',
+  '蓬佩奥',
+  '胡J涛',
+  '马白勺',
+  '一粒眠',
+  '李春城',
+  '法^论',
+  '姜春云',
+  '真理部',
+  '二恶英',
+  '市妓委',
+  '台湾猪',
+  '赵乐际',
+  '爆炸物',
+  '发娼粉',
+  '绣屏缘',
+  '去你的',
+  '韭菜国',
+  '梁擎墩',
+  '姫野爱',
+  '任泽民',
+  '慰春情',
+  '房峰辉',
+  '捣玉台',
+  '端点星',
+  '江丑闻',
+  '长安街',
+  '走资派',
+  '万润南',
+  '江锦恒',
+  '毛zd',
+  '刘志军',
+  '谢非*',
+  '殷若溪',
+  '色成人',
+  '黄丽满',
+  '那可汀',
+  '李作成',
+  '中纪委',
+  '集体淫',
+  '十八摸',
+  '李長春',
+  '李宏治',
+  '坐台的',
+  '强暴*',
+  '民告官',
+  '蒋经国',
+  '迷昏药',
+  '喂奶门',
+  '本拉登',
+  '陈伯达',
+  '吴仁华',
+  '河 殇',
+  'fl功',
+  '习内核',
+  '赵文淦',
+  '劣等人',
+  '法@轮',
+  '中彩网',
+  '余秋里',
+  '申维辰',
+  '毛泽北',
+  'ｂｉ样',
+  '干全家',
+  '陈良宇',
+  '赵紫阳',
+  '民政部',
+  '操人也',
+  '挡中央',
+  '仓井空',
+  '郭海峰',
+  '替.考',
+  '法能功',
+  '吴弘达',
+  '迷晕药',
+  '鼻吸剂',
+  '李大钊',
+  '纪登奎',
+  '开心水',
+  '任畹町',
+  '陈健民',
+  '田修思',
+  '功铲档',
+  '功掺谠',
+  '牛腾宇',
+  '枪出售',
+  '组鸡部',
+  '听话药',
+  'tmd',
+  '闹花丛',
+  '不穿内',
+  '挡坦克',
+  '汪兆钧',
+  '沈跃跃',
+  '迷奸水',
+  '大洋马',
+  '黄爱性',
+  '转法轮',
+  '胡海清',
+  '呼喊派',
+  '七灵派',
+  '张又侠',
+  '法@沦',
+  '邓二世',
+  '成人聊',
+  '徐邦泰',
+  '核武器',
+  '窃听*',
+  '张升民',
+  '麦罗啡',
+  '球讯网',
+  '老GY',
+  '尊爵粉',
+  '迷情液',
+  '铃木麻',
+  '郭伯雄',
+  'K他命',
+  '邹加怡',
+  '王小丫',
+  '焦国标',
+  '快乐丸',
+  '红灯区',
+  '荖虎机',
+  '丁一平',
+  '敌蝇威',
+  '肾中介',
+  '姚文元',
+  '温加保',
+  '尚福林',
+  '淫事局',
+  '乙醇腈',
+  '王小y',
+  '尉健行',
+  '斯鑫良',
+  '吴仪*',
+  '迷魂药',
+  '骚妹妹',
+  '小嫩鸡',
+  '两国论',
+  '卖骨髓',
+  '长舌象',
+  '陈政高',
+  '白牙签',
+  '法西斯',
+  '六一零',
+  '色书库',
+  '失身水',
+  '售三棱',
+  '爱幼阁',
+  '直销弩',
+  '王有才',
+  "法'轮",
+  '换夫妻',
+  '董建华',
+  '苏绍智',
+  '法^抡',
+  '情海缘',
+  '叫小姐',
+  '他妈地',
+  '王鸿津',
+  '法*论',
+  '国务院',
+  '贺卫方',
+  '高自联',
+  '陈全国',
+  '人民报',
+  '韩东方',
+  '李晓英',
+  '朱云来',
+  '刘金国',
+  '搞媛交',
+  '九、评',
+  '功掺挡',
+  '胡中央',
+  '温影帝',
+  '凸肉优',
+  '胸主席',
+  '毛太祖',
+  '公开信',
+  '郭树清',
+  '魏京生',
+  '改号器',
+  '江太上',
+  '仑工力',
+  '七星彩',
+  '灯月缘',
+  '三挫仑',
+  '郭罗基',
+  '李淑娴',
+  '热比亚',
+  '江梳头',
+  '罗荣桓',
+  '娘西皮',
+  '模型枪',
+  '陈希同',
+  '上海狗',
+  '热比娅',
+  '花荫露',
+  '郭开智',
+  '张榕明',
+  '五毛党',
+  '林炎志',
+  '甲庆林',
+  '迷昏水',
+  '王冶坪',
+  '明毁网',
+  '天理教',
+  '无码片',
+  '走私车',
+  '王沪宁',
+  '枪专卖',
+  '主神教',
+  '揉动着',
+  '圆明网',
+  '失忆药',
+  '陈敏尔',
+  '黄菊*',
+  '工字牌',
+  '饭岛爱',
+  '售火药',
+  '法~论',
+  '弁而钗',
+  '可哥精',
+  '导火索',
+  '高级逼',
+  '新共党',
+  '流蜜汁',
+  '解放军',
+  '淫靡*',
+  '徐向前',
+  '母乳家',
+  '呋塞米',
+  '李红智',
+  '李兆焯',
+  '毛孙文',
+  '百凤宫',
+  'jj搓',
+  '赵维山',
+  '娘饿比',
+  '带根吊',
+  '窃听卡',
+  'ze民',
+  '爱良窝',
+  '副主席',
+  '四人帮',
+  '法某功',
+  '春宫图',
+  '梁振英',
+  '夹吸器',
+  '色情网',
+  '假恶斗',
+  '菊花洞',
+  '鸳鸯阵',
+  '干扰器',
+  '姬胜德',
+  '邹家华',
+  '成人文',
+  '万鄂湘',
+  '吴胜利',
+  '陈同海',
+  '杨建利',
+  '按摩棒',
+  '惩贪难',
+  '三八淫',
+  '华国锋',
+  '正规嘌',
+  '王光亚',
+  '魏新生',
+  '娱乐场',
+  '唐荆陵',
+  '恨国党',
+  '刘华清',
+  '阎明复',
+  '大力丸',
+  'ｊｉ女',
+  '浮缘枝',
+  'av女',
+  '左”倾',
+  '华主席',
+  '粥永康',
+  '邱占萱',
+  '楼继伟',
+  '温jb',
+  '谭作人',
+  '胡泽君',
+  '法@纶',
+  '无官正',
+  '法抡工',
+  '国安法',
+  '十九大',
+  '公检法',
+  '枕瑶钗',
+  '强奸丸',
+  '万淫堂',
+  '双十节',
+  '毒配方',
+  '自由门',
+  '杨晓渡',
+  '米久平',
+  '比次仁',
+  '大己元',
+  '许家屯',
+  '杨晓超',
+  '女上门',
+  '共X党',
+  '李源潮',
+  '私密处',
+  '毛主席',
+  '田纪云',
+  '陈秋实',
+  '李克强',
+  '江浙闽',
+  '毒龙钻',
+  '段义和',
+  '迷惑药',
+  '鱼水谐',
+  '德美罗',
+  '功铲当',
+  '大法好',
+  '王震*',
+  '邓朴方',
+  '丁家喜',
+  '西藏国',
+  '妹上门',
+  '迷魂粉',
+  '李兰菊',
+  '天按门',
+  '廿周年',
+  '马晓天',
+  '江某某',
+  '方舟子',
+  '李继耐',
+  '沈昌功',
+  '性教官',
+  '烟雾弹',
+  '性用品',
+  '戏蛾记',
+  '前列腺',
+  '刘　淇',
+  '江绵恒',
+  '投注站',
+  '轮子功',
+  '穴前庭',
+  '邓力群',
+  '胡妖邦',
+  '女优*',
+  '李洪x',
+  '人代会',
+  '王润生',
+  '苯乙胺',
+  'flg',
+  '骚姨妈',
+  '法~伦',
+  '氨茴酸',
+  'zi杀',
+  '实际神',
+  '丝情侣',
+  '朱荣机',
+  '刘永清',
+  '赵洪祝',
+  '下法轮',
+  '魏凤和',
+  '叶剑英',
+  '花放春',
+  '邓颖超',
+  '毒杀芬',
+  '和锅枪',
+  '你大爷',
+  '陈水扁',
+  '拉手冲',
+  '买答案',
+  '法$抡',
+  '收购肾',
+  '64狗',
+  '买到枪',
+  '孟学农',
+  '九。评',
+  '韩联潮',
+  '情蛊药',
+  '法@抡',
+  '邓小平',
+  '新搪人',
+  '你泉家',
+  '专卖弩',
+  '林文漪',
+  '公媳乱',
+  '李大师',
+  '无码影',
+  '严家其',
+  '廖锡龙',
+  '降灾民',
+  '起爆药',
+  '曹长青',
+  '灭蚜胺',
+  '报禁*',
+  '司馬璐',
+  '被旅游',
+  '倡议书',
+  '羰基镍',
+  'vpn',
+  '功产当',
+  '窝窝客',
+  '反共*',
+  '替考试',
+  '王瑞林',
+  '玲珑配',
+  '亚硒酸',
+  '气木仓',
+  '代体检',
+  '搞栗棒',
+  'ji女',
+  '大季元',
+  '彭清华',
+  '4事件',
+  '法$论',
+  '醉妃粉',
+  '天安门',
+  '华建敏',
+  '惜情记',
+  '黄色网',
+  '可可精',
+  '令计划',
+  '张春桥',
+  '李 禄',
+  '买肝脏',
+  '梁家河',
+  '千人斩',
+  '卖肝脏',
+  'h动漫',
+  '台联党',
+  '利他林',
+  '张春贤',
+  '蒋树声',
+  '小比样',
+  '丁字裤',
+  '蒙福派',
+  '苏晓康',
+  '枪订购',
+  '胡主席',
+  '姚依林',
+  '刘少奇',
+  '金日成',
+  '邓质方',
+  '白虎妹',
+  '代人收债',
+  'Flg',
+  '法@论',
+  '戴耀廷',
+  '哄惨裆',
+  '陈超英',
+  '左啡诺',
+  '朱镕基',
+  '和狗交',
+  '乖乖粉',
+  '拍肩,药',
+  '色狼论坛',
+  '舌尖漫游',
+  '氰化镉',
+  '酬鸾凤',
+  '川建国',
+  '幼童买卖',
+  '共产党*',
+  '血色京畿',
+  '手机窃听',
+  '鞭炮直销',
+  '百博亚洲',
+  '共.产党',
+  '大硞弟子',
+  '熟妇人妻',
+  '碧月吟阁',
+  '戒严指挥',
+  '后宫学园',
+  '改革开放',
+  '批发连弩',
+  '后二双胆',
+  '沈阳办证',
+  '迪里夏提',
+  '大户家丑',
+  '圣战组织',
+  '李小鹏*',
+  'x教组织',
+  '汔狗销售',
+  '解放tw',
+  '学生运动',
+  '蒙古鞑子',
+  '成人交友',
+  '多妻养德',
+  '高仿香烟',
+  '官场秘诀',
+  '群众路线',
+  '肚脐主席',
+  '订购战刀',
+  '供应汔枪',
+  '西藏喇嘛',
+  '西田美沙',
+  '反共联盟',
+  '高干子女',
+  '云南爆乱',
+  '美体豔姿',
+  '陈水扁*',
+  '拉票贿选',
+  '陈慕华*',
+  '东方心经',
+  '欧美BT',
+  '性感肉丝',
+  '6一一4',
+  '永源教会',
+  '露鲍私拍',
+  '高潮集锦',
+  '知道64',
+  '朱瑟里诺',
+  '器官交易',
+  '示wei',
+  '购买唐刀',
+  '一夜妻馆',
+  '用口吸着',
+  '台百度湾',
+  '氯尼他秦',
+  '特殊服务',
+  '立花里子',
+  '残酷迫害',
+  '南京办证',
+  '后庭专区',
+  '民主运动',
+  '炸药配方',
+  '宾馆女郎',
+  '屠杀学生',
+  'e夜激情',
+  '家用卫星',
+  '学潮暴乱',
+  '出售文凭',
+  '氧氯化磷',
+  '税票供应',
+  '突厥斯坦',
+  '素人人妻',
+  '乙甲噻丁',
+  '朱镕基*',
+  '薄一波*',
+  '出售胰腺',
+  '替人敲诈',
+  '法$$轮',
+  '催情物品',
+  '催情药*',
+  '圣泉学淫',
+  '帮人消灾',
+  '洪发交流',
+  '投注体育',
+  '高仿中华',
+  '窃听器材',
+  '恐怖组织',
+  '涛一样胡',
+  '肝脏中介',
+  '套牌罢吃',
+  '贪腐财富',
+  '甲基苯丙',
+  '法~~沦',
+  '自由门*',
+  '激情在线',
+  '支持zd',
+  '邓颖超*',
+  '卿心依旧',
+  '梓健特药',
+  '窃听手表',
+  '网络警察',
+  '双重插入',
+  '丝袜美腿',
+  '伶人往事',
+  '法@@纶',
+  'DAFA',
+  '逐欲红尘',
+  '新华举报',
+  '世维大会',
+  'H动漫*',
+  '夫妻多p',
+  '民族矛盾',
+  '傅全有*',
+  '成人之家',
+  '皇冠国际',
+  '万人骚动',
+  'av成人',
+  '中央日报',
+  '宜春香质',
+  '调情震棒',
+  '89之后',
+  '成人BT',
+  '欧美GV',
+  '出售弹药',
+  '后勤集团',
+  '自制弩机',
+  '激情一夜',
+  '马加爵*',
+  '艳女幽魂',
+  '小六改火',
+  '待开发票',
+  '大赦国际',
+  '两个中国',
+  '建党百年',
+  '富婆找鸭',
+  '春透海棠',
+  '两性私语',
+  '两会专题',
+  '暴力镇压',
+  '维权份子',
+  '贸易争端',
+  '成人色情',
+  '帮人绑架',
+  'BAO皮',
+  '任意改号',
+  '邪魔上身',
+  '专业办理',
+  '淫行诱惑',
+  '直销鞭炮',
+  'GAN你',
+  '性感乳娘',
+  '支持台湾',
+  '进口军枪',
+  '女优拘朿',
+  '西藏事件',
+  '找人讨债',
+  '血洗政策',
+  '怜镜传说',
+  '雪腿玉胯',
+  '调教项目',
+  '大学动乱',
+  '甲地索啡',
+  '绝对忠诚',
+  '左芬啡烷',
+  '色欲档案',
+  '江系亲信',
+  '翻下包皮',
+  '亲共媒体',
+  '欲仙欲浪',
+  '供应猎狗',
+  '婬乱军团',
+  '寂寞妹妹',
+  '香港问题',
+  '六九体位',
+  '学生静坐',
+  '少妇服务',
+  '美吡利啶',
+  '冰钻供应',
+  '收养宝宝',
+  '淫乱工作',
+  '狼客娱乐',
+  '成都军区',
+  '摸jj爽',
+  '小学肄业',
+  '乳此丝袜',
+  'OOXX',
+  '跑官要官',
+  '两会大戏',
+  '杀人卖尸',
+  '远程偷拍',
+  '通信维权',
+  '两会报道',
+  '见证付款',
+  '精仿原厂',
+  '接班群体',
+  '乱村佳人',
+  '迷奸药*',
+  '"嘛.批',
+  'gay片',
+  '现在的党',
+  '超级官迷',
+  '磁卡复制',
+  '体育投注',
+  '雅虎香港',
+  '特务民运',
+  '维权联盟',
+  '二氯乙烯',
+  '鞭炮供应',
+  '成人百强',
+  '倒卖军火',
+  '教育改革',
+  '中年美妇',
+  '五码吹潮',
+  '作各种证',
+  '母子奸情',
+  '出售枪支',
+  '北京办证',
+  'xxoo',
+  '疯狂抽送',
+  '露出龟心',
+  '境外媒体',
+  '机密文件',
+  '反腐总攻',
+  '帮人怀孕',
+  '剩女不淑',
+  '蒙.汗药',
+  '中国zf',
+  '出气报仇',
+  '激情黄色',
+  '两会申冤',
+  '水军招聘',
+  '上海杀警',
+  '偷窥图片',
+  '交换人妻',
+  '藏民档案',
+  '供应面具',
+  '专卖猎狗',
+  '倒插莲式',
+  '激情成人',
+  '美妙人妇',
+  '股市圈钱',
+  '超毛大鲍',
+  '六花禁爱',
+  '开放杂志',
+  '计划生育',
+  '人事预测',
+  '帮人清债',
+  '死亡笔记',
+  '张凯广东',
+  'lou聊',
+  '低价转让',
+  '台海战争',
+  '山野情债',
+  '香烟销售',
+  '股民默哀',
+  '西藏平暴',
+  '极度高潮',
+  '扎西东知',
+  '替人报复',
+  '浪漫官途',
+  '销售烟花',
+  '自由西藏',
+  '规模冲突',
+  '徐向前*',
+  '王乐泉*',
+  '蓝色蒙古',
+  '传授赌技',
+  '私密视频',
+  '本？拉登',
+  '藏春阁*',
+  '螳臂当车',
+  '发生暴动',
+  '禁母奸淫',
+  '国产无码',
+  '成人禁书',
+  '光复香港',
+  '官僚精英',
+  '沈阳军区',
+  '中共利用',
+  '打砸日货',
+  '批发马古',
+  '双峰秀乳',
+  '自我阉割',
+  '名刀批发',
+  '春闺秘史',
+  '明慧汇编',
+  '供应肾源',
+  '乳波臀娘',
+  '姿势随便',
+  '李锐近作',
+  '窃听设备',
+  '暴力拆迁',
+  '河蟹社会',
+  '开锁工具',
+  '帮人出气',
+  '金瓶梅2',
+  '亚洲嫩苞',
+  '曾培炎*',
+  '出卖中国',
+  '邹家华*',
+  '维权抗暴',
+  '淫声浪语',
+  '西藏分裂',
+  '紧身美臀',
+  '夜魅袭阳',
+  '习以为常',
+  '真情无奈',
+  '好色cc',
+  '匹米诺定',
+  '谭绍文*',
+  '地方召会',
+  '胸部油压',
+  '圆明网*',
+  '进京抓女',
+  '提供猎刀',
+  '冤狐情史',
+  '中共媒体',
+  '三宝局长',
+  '办证热线',
+  '吴学谦*',
+  '申冤维权',
+  '法@@抡',
+  '迟浩田*',
+  '群魔色舞',
+  '穆罕穆德',
+  'tmd*',
+  '出售心脏',
+  '送货上门',
+  '地震天谴',
+  '农夫导航',
+  '供应鞭炮',
+  '粗壮硬汉',
+  '麻醉香烟',
+  '深圳办证',
+  '蓝颜有奕',
+  '民族自决',
+  '穆罕默德',
+  '黑红轮盘',
+  '依法治国',
+  '东热空姐',
+  'dafa',
+  '激情服务',
+  '周小川*',
+  '直销狗管',
+  '美女写真',
+  'DICK',
+  '高薪急聘',
+  '袭击哨兵',
+  '尊爵粉推',
+  '苯吗庚酮',
+  'fm2粉',
+  '手弩图纸',
+  '诺匹哌酮',
+  '香艳杀劫',
+  '供应连弩',
+  '怀念耀邦',
+  '专卖臊冰',
+  '修炼之歌',
+  '硫酸甲酯',
+  '九流干部',
+  '廖锡龙*',
+  '黄菊遗孀',
+  '阿旺晋美',
+  '资本市场',
+  '秘密监禁',
+  '脂浪斗春',
+  'dick',
+  '极品弃妇',
+  '服毒自杀',
+  '刘云山*',
+  '负面报道',
+  '玉乳护肤',
+  '有偿收肾',
+  '回良玉*',
+  '回收药品',
+  '中国人权',
+  '名刀供应',
+  '专业代理',
+  '找人报仇',
+  '法^^抡',
+  '批发名刀',
+  '妹妹服务',
+  '欧美淫暴',
+  '国 务院',
+  '小姐服务',
+  '丁关根*',
+  '肉丝裤袜',
+  'tui党',
+  '真舌宝贝',
+  '删百度帖',
+  '曲线消魂',
+  '小泽一郎',
+  '出售镁粉',
+  '无码H漫',
+  '出售器官',
+  '金瓶梅5',
+  '枪管出售',
+  '帮人了仇',
+  '法^^论',
+  '西藏问题',
+  '精仿香烟',
+  '丹增嘉措',
+  '民意论坛',
+  '封锁消息',
+  '杨尚昆*',
+  '左美沙芬',
+  '明慧消息',
+  '浴室自拍',
+  '机屏蔽器',
+  '黑星女侠',
+  '支持达赖',
+  'fa工力',
+  '床上陪伴',
+  '江理论*',
+  '后宫男医',
+  '快感喷剂',
+  '香港马会',
+  '金瓶梅*',
+  '玉女淫情',
+  '买一送一',
+  '霸王执法',
+  '一边一国',
+  '人身自由',
+  '自制土炮',
+  '色情自拍',
+  '额尔德尼',
+  '贾庆林*',
+  '李先念*',
+  '肉体买家',
+  '广州办证',
+  '自sha',
+  '求购肾源',
+  '东莞童奴',
+  '贸易摩擦',
+  '情迷电影',
+  '李鹏之女',
+  '厕所盗摄',
+  '官场段子',
+  'twdl',
+  '如意君传',
+  '死刑枪毙',
+  '就去诱惑',
+  '投毒杀人',
+  'damn',
+  '汉芯造假',
+  '亲自指挥',
+  '黄网图片',
+  '一国一制',
+  '地恩丙胺',
+  '丰唇豔姬',
+  '两会新解',
+  '觅男视频',
+  '股市对联',
+  '激情美女',
+  '亚洲BT',
+  '自由网盟',
+  '出售纯古',
+  '六合同彩',
+  'ｃａｏ你',
+  '粉红小b',
+  '真钱游戏',
+  '批发狗管',
+  '万人上书',
+  '成人录像',
+  '周六性吧',
+  '我的喇嘛',
+  '提供纯冰',
+  '舆论封锁',
+  '网上代考',
+  '阿法罗定',
+  '新疆分裂',
+  '出售肝脏',
+  '路易氏剂',
+  '颜色革命',
+  '供应冰糖',
+  '成人文学',
+  '洞小口紧',
+  '暴虐统治',
+  '胡耀邦*',
+  '代办签证',
+  '世界日报',
+  '报复执法',
+  '达赖喇嘛',
+  '血洗北京',
+  '98印尼',
+  '祝福达赖',
+  '包您舒服',
+  '极度强奸',
+  '帮人打架',
+  '买卖枪支',
+  '国际特赦',
+  '民主之声',
+  '镇压学生',
+  '丰乳肥臀',
+  'sm图片',
+  '和平修炼',
+  '中共警察',
+  '旧民运*',
+  '#牟林翰',
+  'a片目录',
+  '刚比样子',
+  '器官移植',
+  '以血护法',
+  '一党专政',
+  '本。拉登',
+  '夜色贵族',
+  '亚洲激情',
+  '干扰器*',
+  '幻梦唯心',
+  '二硫化碳',
+  '处女牧场',
+  '希望之声',
+  '供应腰刀',
+  '枪弹出售',
+  '执法部门',
+  '法$$论',
+  '各地凤楼',
+  '爆竹直销',
+  '朱容基*',
+  '锡锋出售',
+  '各种姿势',
+  '直销连弩',
+  '暧昧神雕',
+  '哀淫隶娘',
+  'ｂａｏ皮',
+  '宫崎玲奈',
+  '人性本色',
+  '妩媚挑逗',
+  '美肉商人',
+  '静zuo',
+  '托福枪手',
+  '法@@沦',
+  '折叠狗售',
+  '空虚少妇',
+  '人身安全',
+  '恐怖分子',
+  '反蒙面法',
+  '整肃官场',
+  '香烟迷药',
+  '戴秉国*',
+  '定制面具',
+  '替人复仇',
+  '人体艺术',
+  '专业讨债',
+  '苏联笑话',
+  '烟花供应',
+  '拍肩神药',
+  '帮人毁容',
+  '狗管专卖',
+  '卖银行卡',
+  'da法好',
+  '走光偷拍',
+  '窃听钢笔',
+  '职业删贴',
+  '火爆来袭',
+  '法**轮',
+  '日本熟女',
+  '马德卖官',
+  '好运娱乐',
+  '会见达赖',
+  '侯赛因江',
+  '冰峰魔恋',
+  '霸权主义',
+  '桃色诱惑',
+  '董存瑞问',
+  '席临终前',
+  '玉足丝袜',
+  '冰钻出货',
+  '螳臂挡车',
+  'CHA你',
+  '买卖腰刀',
+  '替人收债',
+  '供应肾脏',
+  '性感少妇',
+  '采花堂*',
+  '销售猎狗',
+  '提供短枪',
+  '蒙古之友',
+  '出售工字',
+  '乙环利定',
+  '隐形喷剂',
+  '火辣写真',
+  '珐.轮功',
+  '田纪云*',
+  '学历认证',
+  'mdma',
+  '舆论压制',
+  '淫行列坛',
+  '都市情色',
+  '还我紫阳',
+  '警痞难辨',
+  '独裁政权',
+  '极品黑丝',
+  '永利高网',
+  '仁吉旺姆',
+  '飞行燃料',
+  '胡启立*',
+  '出售冰壶',
+  '民主论坛',
+  '帮人泄愤',
+  '三甲利定',
+  '速食全套',
+  '找人毁容',
+  '普萘洛尔',
+  '高价回收',
+  '弩机图纸',
+  '好大喜功',
+  '第十四条',
+  '急需肾源',
+  '法**论',
+  '南京军区',
+  '去中国化',
+  '仕途风流',
+  '放荡熟女',
+  '江绵康*',
+  '金属波箱',
+  '成都办证',
+  'jie严',
+  '三位昏官',
+  '按摩推油',
+  '雨过桃花',
+  '宁夏爆乱',
+  '津人治津',
+  '诚意加我',
+  '激情mm',
+  '反中游行',
+  '言论自由',
+  '镇压八九',
+  '月皎花娇',
+  '卖水果冰',
+  '猛操狂射',
+  '江氏家族',
+  '狂乳激揺',
+  '雅思枪手',
+  '美腿丝袜',
+  '人体摄影',
+  '马古配方',
+  '防身器材',
+  '替人勒索',
+  '人体炸弹',
+  '隐私部位',
+  '激情妹妹',
+  '人妻守则',
+  '雇人复仇',
+  '周永康*',
+  '超越红墙',
+  '法~~抡',
+  '春乡艳少',
+  '十大独裁',
+  '半路擒君',
+  '考试答案',
+  '女王奴隶',
+  'ｃｈａ你',
+  '地芬诺辛',
+  '纽约时报',
+  '广电总局',
+  '江系人马',
+  'SHIT',
+  '真sh忍',
+  '帮人敲诈',
+  '北京军区',
+  '欧美电影',
+  '活摘人体',
+  '逍遥社区',
+  '壮阳喷剂',
+  '美脚革命',
+  '出售追月',
+  '性感诱惑',
+  '隐形耳机',
+  '卖娃广告',
+  '皇冠娱乐',
+  '欲生欲死',
+  '亲共行动',
+  'DAMN',
+  '乱云飞渡',
+  '姐弟销魂',
+  '手无寸铁',
+  '自由亚州',
+  'MAI骚',
+  '哥哥加我',
+  '明慧周刊',
+  '六氟化铀',
+  '直男打枪',
+  '强盗zf',
+  '苯异丙胺',
+  '针孔偷拍',
+  '低端人口',
+  '爽死我了',
+  '国民党*',
+  '百毒神君',
+  '尖阁诸岛',
+  '俞正声*',
+  '社会保障',
+  '砷酸批发',
+  '证书办理',
+  '橡皮图章',
+  '中美贸易',
+  '大陆法律',
+  '湿身诱惑',
+  '成人下载',
+  '陈良宇*',
+  '婷婷基地',
+  '销售香烟',
+  '日本灌肠',
+  '集体抗议',
+  '她奶奶的',
+  '公产专制',
+  '真钱下注',
+  '肉感炮友',
+  '职场淫行',
+  '艳母黑爱',
+  '翅臀浪妹',
+  '找人勒索',
+  '新疆势力',
+  '流氓民运',
+  '极品波神',
+  '成人影院',
+  '人权恶棍',
+  '我就去色',
+  '玲珑孽怨',
+  '暴力袭警',
+  '赦免杨佳',
+  '销售K粉',
+  '专业报仇',
+  '吴邦国*',
+  '批发汔枪',
+  '曾道人*',
+  '风月大陆',
+  '再教育营',
+  'Fa轮功',
+  'tui档',
+  '依托尼秦',
+  '默罕默德',
+  '皇朝秘史',
+  '王岐山*',
+  '电车之狼',
+  '红色角落',
+  '群众冲击',
+  '批林批孔',
+  '余秋里*',
+  '高仿白酒',
+  '伊斯兰国',
+  '曹刚川*',
+  '月宫无码',
+  '台湾岛国',
+  '天怒人怨',
+  '真钱娱乐',
+  '桃源洞口',
+  '素人合集',
+  '恐怖主义',
+  '欲望猛军',
+  '黄色影视',
+  '火枪专卖',
+  '台湾分裂',
+  '真人娱乐',
+  '销售钻石',
+  '伊力哈木',
+  'Bao皮',
+  '娇艳都市',
+  '警民冲突',
+  '文革××',
+  '千人计划',
+  '小妹服务',
+  '法轮圣王',
+  '嫂嫂我要',
+  '售枪QQ',
+  '地匹哌酮',
+  '春灯迷史',
+  '媚药少年',
+  '村长后宫',
+  '64手抢',
+  '夜勤病栋',
+  '好评返现',
+  '丰韵少妇',
+  '男女交欢',
+  '保健会所',
+  '日本素人',
+  '纪元文化',
+  '共产.党',
+  '情色呻吟',
+  '劣等民族',
+  'cha你',
+  '锇酸供应',
+  '再来壹炮',
+  '小村糙事',
+  '赤裸天使',
+  '东突暴动',
+  '手机监听',
+  '21ｃｎ',
+  '换届隐忧',
+  '拍A.片',
+  '月赚万元',
+  '替人绑架',
+  '洋奴哲学',
+  '人大代表',
+  '税票提供',
+  '赌彩平台',
+  '催情香水',
+  'nai子',
+  '代办证件',
+  '死刑过程',
+  '性感妖娆',
+  '幼幼电影',
+  '抢手总裁',
+  '分裂国家',
+  '次旺仁增',
+  '党的喉舌',
+  '作爱聚会',
+  '叶剑英*',
+  '凌辱淫罪',
+  '地芬诺酯',
+  '亚洲色图',
+  '火药配方',
+  '淫乱家庭',
+  '门朗塔庆',
+  '夫妻自拍',
+  '北京黑幕',
+  '泄漏的内',
+  '提供连弩',
+  '雇人打架',
+  '镇压群众',
+  '黑恶势力',
+  '破网软件',
+  '军匪勾结',
+  '纪元快讯',
+  '新华内情',
+  '水去车仑',
+  '透明扑克',
+  '炸弹配方',
+  '诚意加q',
+  '提供藏刀',
+  '电狗专卖',
+  '五出三进',
+  '桃色爱奴',
+  '诚信经营',
+  '济世灵文',
+  '纪元动态',
+  '汔枪直销',
+  '愚民教育',
+  '脱氧麻黄',
+  '出售枪弹',
+  '贡产组织',
+  '自由时报',
+  '美女脱衣',
+  '腐败的谠',
+  '轮流执政',
+  '人妻色诱',
+  '乌兰夫*',
+  '江泽慧*',
+  '猎美艳录',
+  '⒍4学潮',
+  '藏族独立',
+  '改朝换代',
+  '肾源要求',
+  '文革释放',
+  '刘奇葆*',
+  '丰乳美臀',
+  '男子会所',
+  '特殊阶层',
+  '高校骚乱',
+  '安倍晋三',
+  '找人复仇',
+  '和平示威',
+  '粉臀红痕',
+  '亚洲性虐',
+  '俪影蝎心',
+  '入联公投',
+  '汔枪提供',
+  '民运分子',
+  '爆炸装置',
+  '自杀手册',
+  '老虎机*',
+  '两会呈情',
+  '免费电影',
+  '邓 小平',
+  '优博娱乐',
+  '川岛芳子',
+  '爱巢滴水',
+  '色情交易',
+  '砍杀事件',
+  '华国锋*',
+  '直销烟花',
+  '贩卖毒品',
+  '深纯弄潮',
+  '激生轮欲',
+  '极品人生',
+  '满足身体',
+  '中华民国',
+  '乡村振兴',
+  '亚洲原创',
+  '千年大计',
+  '直销汔枪',
+  '你老母的',
+  '生肖中特',
+  '警备车证',
+  '罢工维权',
+  '血色黎明',
+  '法轮弟子',
+  '一国两制',
+  '小平同志',
+  '窃听器*',
+  '白话佛法',
+  '肾脏中介',
+  'ooxx',
+  '出售肺脏',
+  '赵紫阳*',
+  '警号销售',
+  '卖神仙水',
+  '股民亏损',
+  '六四时间',
+  '极品太女',
+  '兽心沸腾',
+  '销售靴刀',
+  '枪支买卖',
+  '猎狗改装',
+  '妹妹爽图',
+  '吴官正*',
+  '江氏末政',
+  '丝袜写真',
+  '成人书库',
+  '购肾qq',
+  '迫害致死',
+  '世界之门',
+  '六合彩*',
+  '欲医天下',
+  '淫间道*',
+  '枪网专卖',
+  '雇凶打人',
+  '无码无套',
+  '涂山国际',
+  '自由之门',
+  '柴总指挥',
+  '纪元特稿',
+  '人事推测',
+  'duli',
+  '女同BT',
+  '江青××',
+  '批发药弩',
+  '成人社区',
+  'hmtd',
+  '美国之音',
+  '回汉冲突',
+  '代办年审',
+  '民族问题',
+  '购钓鱼岛',
+  '巯基乙醇',
+  '出售折刀',
+  '异见人士',
+  '纪元专栏',
+  'weed',
+  '重回两会',
+  '乌尔凯西',
+  '丝袜情缘',
+  '美女上门',
+  '粉红乳晕',
+  '进入网站',
+  '淘宝收藏',
+  '台秃专卖',
+  'XXOO',
+  '地下教会',
+  '美女中出',
+  '激凸走光',
+  '江青丈夫',
+  '浴火情潮',
+  'Mai骚',
+  '温家宝*',
+  '土冰合成',
+  '艳星诱惑',
+  '万邦来朝',
+  '出售肝源',
+  '陈锡联*',
+  '东京丸井',
+  '流血事件',
+  '沃尔开西',
+  '调妻派对',
+  '职业复仇',
+  '成人午夜',
+  '第廿七军',
+  '两会经费',
+  '发正念*',
+  '特区爱奴',
+  '纵情兵团',
+  '往事微痕',
+  '大陆同修',
+  'cao你',
+  '放荡少妇',
+  '特权阶级',
+  '娇娇师娘',
+  '丰唇艳姬',
+  '汔枪批发',
+  '肾脏供求',
+  '沁园春血',
+  '紫阳软禁',
+  '开除党籍',
+  '黄  菊',
+  '神奇蘑菇',
+  '近亲凌辱',
+  '同志交友',
+  '新疆骚乱',
+  '苯基丙酮',
+  '明星情爱',
+  '网上投注',
+  '先帝病危',
+  '张立昌*',
+  '供应猎刀',
+  '买二送一',
+  '美体艳姿',
+  '销售警衔',
+  '钱其琛*',
+  '被毛整死',
+  '逃离中国',
+  '无码体验',
+  '足球投注',
+  '红朝皇帝',
+  '软弱的国',
+  '代孕妈妈',
+  '花容天下',
+  '欧美大乳',
+  '台湾问题',
+  '改革阵痛',
+  '印尼暴乱',
+  '还原事实',
+  '摇头丸*',
+  '滥用武力',
+  '毛龟儿子',
+  '上访维权',
+  'liu泗',
+  '销售冰古',
+  '替人打架',
+  '想买枪支',
+  '欲火焚身',
+  '抵zhi',
+  '荷兰叶子',
+  '暴力袭击',
+  '陪聊小姐',
+  '蔷薇妖娆',
+  '张万年*',
+  '提供肾源',
+  '和男晚抱',
+  '亚硝酸钠',
+  '北极之北',
+  '明慧资料',
+  '毒的制作',
+  '阁楼欲女',
+  '广州军区',
+  '学生暴动',
+  '出售K粉',
+  '母之欲火',
+  '军队改革',
+  '反日游行',
+  '春夏之交',
+  '提供腰刀',
+  '淫语饲育',
+  '迷昏药*',
+  '股民自编',
+  '四房播播',
+  '被党整过',
+  '毒品无罪',
+  '汕尾事件',
+  '兰州军区',
+  '暴力虐待',
+  '温休曾退',
+  '枪支出售',
+  '反共复清',
+  '军国主义',
+  '找人绑架',
+  '汽车套开',
+  '艾可米来',
+  '中俄密约',
+  '三水法轮',
+  '人事预言',
+  '三赎基督',
+  '色狼小说',
+  '空气精灵',
+  '俏臀摄魄',
+  '经济改革',
+  '薄谷开来',
+  '群体灭绝',
+  '预测答案',
+  '古方迷香',
+  '性战擂台',
+  '专卖猎刀',
+  '青莲记事',
+  '抗议强拆',
+  '成人动画',
+  '律师制度',
+  '鞭炮批发',
+  '玩女无罪',
+  '提供汔枪',
+  '熟女诱惑',
+  '芳邻好土',
+  '黄海谋刺',
+  '制毒工艺',
+  '帮人讨债',
+  '惹火自拍',
+  '开垦民主',
+  '野外偷情',
+  '美女走光',
+  '芮杏文*',
+  '玄艺综述',
+  '绝对够骚',
+  '常征贵州',
+  '轻落天下',
+  '收费删帖',
+  '销售腰刀',
+  '胡总书记',
+  '主席复活',
+  '中国纳粹',
+  '情色大片',
+  '亚洲图区',
+  '大学暴动',
+  '股灾风光',
+  '无码彩图',
+  '艳说大唐',
+  '爆竹专卖',
+  '欲死欲仙',
+  '直销猎刀',
+  '迷魂香烟',
+  '欢迎品鉴',
+  '替人毁容',
+  '幻想玉女',
+  '制服幼惑',
+  '汔枪供应',
+  '直销军衔',
+  'dork',
+  '好人难为',
+  '反共传单',
+  '抗议政府',
+  '冷钢出售',
+  '销售长刀',
+  '西藏骚乱',
+  '地美庚醇',
+  '庐江6p',
+  '拉顿德通',
+  '住房制度',
+  '在幽微处',
+  '党政人事',
+  '大学骚乱',
+  '提供物冰',
+  '陈方安生',
+  '弹药出售',
+  '法轮桩法',
+  '大力抽送',
+  '九评××',
+  '爱城论坛',
+  '靖国神社',
+  '三个代表',
+  '工口小说',
+  '涉嫌反动',
+  '08xz',
+  '流血冲突',
+  '两性视频',
+  '销售台秃',
+  '股市之痛',
+  '新唐人*',
+  '作弊设备',
+  '黄色大片',
+  '天要亡供',
+  '有偿收肝',
+  '多劳多得',
+  '网络投注',
+  '白液四溅',
+  '黄色照片',
+  '出售锡锋',
+  '庐江5p',
+  '西藏血统',
+  '血色京机',
+  '裙内偷拍',
+  '专业复仇',
+  '大B私服',
+  '黄色文学',
+  '鞭走鞭爱',
+  '腐败无救',
+  '枪决现场',
+  '集体上访',
+  '早泄克星',
+  '有偿服务',
+  '西藏论坛',
+  '无界网络',
+  '刘延东*',
+  '都市藏娇',
+  '砍杀学生',
+  '夜诱娘子',
+  '春光外泻',
+  '申冤两会',
+  '舌战法庭',
+  '阳江仿刀',
+  '妖媚熟母',
+  '学生动乱',
+  '男人四睡',
+  '午夜成人',
+  '出售警械',
+  '本拉登*',
+  '帮人砍人',
+  '淫美贴图',
+  '啥叫两会',
+  '足球下注',
+  '全根尽入',
+  '西藏之页',
+  '迷情少妇',
+  '淫乱诊所',
+  'yin毛',
+  '订购腰刀',
+  '香国竞艳',
+  '懒凤来仪',
+  '登陆台湾',
+  '二甲噻丁',
+  '痴女露出',
+  '邪恶组织',
+  '氧化乐果',
+  '股民电话',
+  '末裔之殇',
+  '矢泽种子',
+  '胡锦涛',
+  '互害社会',
+  '招聘av',
+  '金瓶梅4',
+  '针对台湾',
+  '欲仙欲死',
+  '有偿捐肝',
+  '圆顿法门',
+  '香港迷药',
+  '软弱外交',
+  '成人免费',
+  '汽车解码',
+  '出售连弩',
+  '亚洲狼图',
+  '人面兽医',
+  'a级情片',
+  '少女之心',
+  '三唑仑*',
+  '楼凤QQ',
+  '成人自拍',
+  '西藏之友',
+  '金枪不倒',
+  '淫语连连',
+  '炸yao',
+  '风尘劫*',
+  '上访两会',
+  '黄色小说',
+  '痴婆子传',
+  '军车进京',
+  '戒yan',
+  '于永波*',
+  '砷酸供应',
+  '肾脏出售',
+  '台湾民国',
+  '超级学生',
+  '炮友之家',
+  '特权阶层',
+  '毛都露出',
+  '社会主义',
+  '法~~论',
+  'O八宪章',
+  '帮人报仇',
+  '七虐弃妃',
+  '网络封锁',
+  '代人报复',
+  '樱花红破',
+  '催情润滑',
+  '邓爷爷转',
+  '有关部门',
+  '反右运动',
+  '维权博客',
+  '法轮常转',
+  '考试设备',
+  '闭关锁国',
+  '转让腰刀',
+  '瓮安暴乱',
+  '同志会所',
+  '一党执政',
+  '蒙汗药*',
+  '招聘公关',
+  'Dick',
+  '甲基苯胺',
+  '法$$抡',
+  '台海大战',
+  '寂寞美女',
+  '美女激情',
+  '美女黄色',
+  '爱色cc',
+  '金瓶梅1',
+  '负面帖子',
+  '新约教会',
+  '器官贩卖',
+  '催情药品',
+  '民主流氓',
+  '千门六决',
+  '夫妻电影',
+  '色界论坛',
+  '两会新闻',
+  '色情工厂',
+  '电话改号',
+  '壮阳软膏',
+  '供应纯冰',
+  '六级答案',
+  '转让猎刀',
+  '代人体检',
+  '明治维新',
+  '济南军区',
+  '拍肩，药',
+  '反共言论',
+  '《情欲》',
+  '突破网路',
+  '第一夫人',
+  '巨h慎入',
+  '一氯丙酮',
+  '东条英机',
+  '风骚侍女',
+  '性感扑克',
+  '替人出气',
+  '负面删帖',
+  '情戏玩具',
+  '上海办证',
+  '精进要旨',
+  '毒的配方',
+  '北京战争',
+  '绝食静坐',
+  '本土无码',
+  'MDMA',
+  '光复民国',
+  '烯丙罗定',
+  '冰钻订购',
+  '报复社会',
+  '新闻封锁',
+  '在线下注',
+  '人权斗士',
+  '真理教会',
+  '催情用品',
+  '法轮组织',
+  'ｓｈｉｔ',
+  '乙撑亚胺',
+  '红十字会',
+  '日本帝国',
+  '借腹生子',
+  '四海龙女',
+  '硝化甘油',
+  '江恶人*',
+  '销售纯古',
+  '折叠狗买',
+  '卖热武器',
+  '央视自焚',
+  '斧头镰刀',
+  '北京高层',
+  '烟花专卖',
+  '点数优惠',
+  '李洪志*',
+  '医患矛盾',
+  '阿尼利定',
+  '高薪诚聘',
+  '疯狂倒车',
+  '江胡大战',
+  '政百度府',
+  '腋毛美女',
+  '偷窥视频',
+  '雨伞运动',
+  '考后付款',
+  '先锋百乐',
+  '一带一路',
+  '吉泽明步',
+  '激情午夜',
+  '超火司机',
+  '买卖军狗',
+  '出售马古',
+  '民主历程',
+  '浪史奇观',
+  '清纯少妇',
+  '勾魂少妇',
+  '18禁*',
+  '帮人杀人',
+  '观音做帘',
+  '上门服务',
+  '经典炮图',
+  '校园淫兽',
+  '神韵艺术',
+  '人妻交换',
+  '玩枪拼勃',
+  '西藏天葬',
+  '猎狗出售',
+  '赚钱网址',
+  '江绵恒*',
+  '烟草批发',
+  '国统纲领',
+  '巧婢奇缘',
+  '杀朱拔毛',
+  '手机改号',
+  '私人侦探',
+  '猛男强奸',
+  '领导泡妞',
+  '五大诉求',
+  '视频艳舞',
+  '汔枪购买',
+  '前妻禁欲',
+  '法轮修炼',
+  '艳照门*',
+  '迷奸系列',
+  '证件办理',
+  '找人消灾',
+  '分两炮精',
+  '替人跑事',
+  '李锡铭*',
+  '偷 拍*',
+  '帝国夜色',
+  '欧美bt',
+  '最新黄站',
+  '大法大福',
+  '民主评论',
+  '青天白日',
+  '温云松*',
+  '姜春云*',
+  '土冰出售',
+  '台湾性虎',
+  '谓的和谐',
+  '巫山蓝桥',
+  '色屋图片',
+  '色情论坛',
+  '杨白冰*',
+  '自由操式',
+  '官僚主义',
+  '两岸战争',
+  '合法土匪',
+  '监听跟踪',
+  '武警车牌',
+  '金沙娱乐',
+  '本?拉登',
+  '尖阁列岛',
+  '直销腰刀',
+  '极品农民',
+  '四氯化碳',
+  '阿不来提',
+  '香醉迷艳',
+  '亲共来源',
+  '转让战刀',
+  '给我豹豹',
+  '地西泮片',
+  '货到付款',
+  '李德生*',
+  '军人骚乱',
+  '迷魂药*',
+  'shit',
+  '纯属挑逗',
+  '胡海峰*',
+  '卖党求荣',
+  '出售枪具',
+  '成人用品',
+  '代人寻仇',
+  '李长春*',
+  '暴力冲突',
+  '黑彩代理',
+  '分裂中国',
+  '商界狂龙',
+  '拱.铲谠',
+  '火辣图片',
+  '男性抚摸',
+  '二手长枪',
+  '教徒人权',
+  '专政机器',
+  '美女成人',
+  '转让汔枪',
+  '毛十八摸',
+  '民运平反',
+  '国家机器',
+  '红杏暗香',
+  '明慧新闻',
+  '那娘错比',
+  '刘华清*',
+  '兼职公关',
+  '北京之春',
+  '答案提供',
+  '器官中介',
+  '追查国际',
+  '小泽菜穗',
+  '校园静坐',
+  '宋勇辽宁',
+  '瓮安骚乱',
+  '刘胡兰问',
+  '聂荣臻*',
+  'CAO你',
+  '激情聊天',
+  '尽情纵欲',
+  '专卖冰古',
+  '无码电影',
+  '找人敲诈',
+  '专业勒索',
+  '毛交通部',
+  '思想自由',
+  '胡耀邦传',
+  '股市被套',
+  '赌城浪子',
+  '法^^轮',
+  '台海问题',
+  '群体事件',
+  '领取福利',
+  '弹药配方',
+  '监听王*',
+  '无码长片',
+  '戈博专卖',
+  'ｄｉｃｋ',
+  '卖水晶冰',
+  '批发军衔',
+  'yin荡',
+  '灭共檄文',
+  '上门保健',
+  '成人导航',
+  '快乐AV',
+  '非那佐辛',
+  '三中全会',
+  '买凶杀人',
+  '新型毒品',
+  'cha她',
+  '欧美淫乱',
+  '达赖领奖',
+  '猫眼工具',
+  '战刀订购',
+  '喷雾迷药',
+  '军民冲突',
+  '咪咪色界',
+  '色情男女',
+  '强制浣肠',
+  '性专卖店',
+  '拉萨骚乱',
+  '达赖集团',
+  '中共内参',
+  '基地组织',
+  '僧尼孽海',
+  '短信群发',
+  '私房写真',
+  '性息中国',
+  '出售狗管',
+  '买官卖官',
+  '高仿名烟',
+  '朱云来*',
+  '销售狗管',
+  '高薪招聘',
+  '珍惜毒品',
+  '台海统一',
+  '股市民谣',
+  '七大军区',
+  '有偿捐赠',
+  '提供猎狗',
+  '人妻生撮',
+  '替考公司',
+  '出售短枪',
+  '卖黑市肾',
+  '淫欲世家',
+  '援助交易',
+  '人民日报',
+  '八九六四',
+  '专卖纯古',
+  '帮人勒索',
+  '咪咪情色',
+  '情妇腐败',
+  '提供土冰',
+  '监听设备',
+  '考试枪手',
+  '黄色图片',
+  '江氏集团',
+  '轮子小报',
+  '厕所偷拍',
+  '激流中国',
+  '桃红香暖',
+  '传九促三',
+  '青蓝双娇',
+  '东突组织',
+  '明慧周末',
+  '诱色uu',
+  '少年阿宾',
+  '供应肝脏',
+  '日军军妓',
+  '迷欲侠女',
+  '自由亚洲',
+  '西藏之声',
+  '批发香烟',
+  '成人联盟',
+  '六月联盟',
+  '法轮佛法',
+  '色情图片',
+  '独夫民贼',
+  '色欲征服',
+  '法^^沦',
+  '尼尔伍德',
+  '午夜情人',
+  '花花游龙',
+  '国家主席',
+  '美腿视频',
+  '凯托米酮',
+  '南华早报',
+  '人妖妹妹',
+  '丝丝诱惑',
+  '赚钱网站',
+  '小姐兼职',
+  '吾尔凯西',
+  '李小琳*',
+  '地下刊物',
+  '军警殴打',
+  '订购汔枪',
+  '汔枪订购',
+  '全国两会',
+  '艾孜来提',
+  '北朝鲜冰',
+  '恐怖袭击',
+  '乳丰臀肥',
+  '女人和狗',
+  '欢乐之穴',
+  '火枪提供',
+  '美腿写真',
+  '北京风波',
+  '丁香社区',
+  '江泉集团',
+  '删帖公司',
+  '传播真相',
+  '买卖猎刀',
+  '多党执政',
+  '绿坝调教',
+  '情色贴图',
+  '床上自拍',
+  '双龙入洞',
+  '激情网站',
+  '情色天崖',
+  '雇人报仇',
+  '集体自杀',
+  '色情电视',
+  '警民对峙',
+  '解放台湾',
+  '维族灭绝',
+  '真钱斗地',
+  '双蛋推车',
+  '供应肝源',
+  '现金棋牌',
+  '梁光烈*',
+  '《呻吟》',
+  '真钱轮盘',
+  '替人讨债',
+  '激情贴图',
+  '樱井彩美',
+  '十年动乱',
+  '帅哥虐爱',
+  '少龙外传',
+  '最新投注',
+  '修改证书',
+  '看片神器',
+  '成人贴图',
+  '酥胸诱惑',
+  '递进民主',
+  '令狐计划',
+  '穿越大唐',
+  '上山下乡',
+  'gan你',
+  '格萨尔王',
+  '官场经济',
+  '军警毒打',
+  '蒙古回归',
+  '替人杀人',
+  '销售枪支',
+  '李瑞环*',
+  '九城情色',
+  '汪东兴*',
+  '毛岸英问',
+  '钻石欲火',
+  '网上赌钱',
+  '上海性息',
+  '伪民运*',
+  '舆论钳制',
+  '人肉炸弹',
+  '情色光碟',
+  '法~~轮',
+  '玉体横陈',
+  '考研答案',
+  '弹药价格',
+  'bt成人',
+  '帝国之梦',
+  '神的教会',
+  '三股势力',
+  '法~~纶',
+  '新疆自治',
+  'AV麻将',
+  '李铁映*',
+  '血腥清场',
+  '抗霉素A',
+  '林郑月娥',
+  '突破封锁',
+  '安非他命',
+  '贪官不断',
+  '哥的jj',
+  '淫兽学院',
+  '大腿舔食',
+  '联名上书',
+  '非法镇压',
+  '江系势力',
+  '销售猎刀',
+  '兰州办证',
+  '官场日志',
+  '色97爱',
+  '订购猎刀',
+  '人事任免',
+  'liu四',
+  '大ji元',
+  'you行',
+  '法@@轮',
+  '幼女bb',
+  '砍人事件',
+  '转让狗管',
+  '阿曼哈吉',
+  '侵华战争',
+  '蒹职美女',
+  '替人追债',
+  '美女贴吧',
+  '成人夜话',
+  '美女后宫',
+  '李源潮*',
+  '大国战役',
+  '银河联邦',
+  '床上感觉',
+  '郑州办证',
+  '体检枪手',
+  '包教包会',
+  '月泊西眉',
+  '尿道刑法',
+  '售卖武器',
+  '大法之声',
+  '海乐神*',
+  '情色导航',
+  '泥马之歌',
+  '蒋彦永*',
+  '改革历程',
+  '投注系统',
+  '三唑仑片',
+  '泷泽萝拉',
+  '乳此丰满',
+  '新疆暴乱',
+  '瓮安事件',
+  '泰国淫乐',
+  '代人了仇',
+  '崔英杰*',
+  '被警察打',
+  '军队屠城',
+  '出售枪管',
+  '主席画像',
+  '职业报仇',
+  '雇凶复仇',
+  '军队走私',
+  '招聘女模',
+  '进攻台湾',
+  '替人泄愤',
+  '骚浪美女',
+  '加我微信',
+  '纯古供应',
+  '转型正义',
+  '夕浥红尘',
+  '玩女大王',
+  '雪山狮子',
+  '坐台公关',
+  '假人民币',
+  '出售冰古',
+  '替人报仇',
+  '黄网导航',
+  '专业毁容',
+  '法$$沦',
+  '帮人追债',
+  '狮情化欲',
+  '出售军刺',
+  '人妻自拍',
+  '血腥镇压',
+  '幼幼诱女',
+  '男按摩师',
+  'yin部',
+  '骚浪人妻',
+  '火炮配方',
+  '拉萨事件',
+  '美竹凉子',
+  '警察打死',
+  '墨索里尼',
+  '鉴别处女',
+  '幼童出售',
+  '证到付款',
+  '提供纯古',
+  '充气娃娃',
+  '多人杂交',
+  '西山会议',
+  '学生领袖',
+  '欧美女同',
+  '盘古乐队',
+  '消旋啡烷',
+  '一拳入穴',
+  '　白少康',
+  '专业删帖',
+  '免费刷币',
+  '阎明复*',
+  '左翼联盟',
+  '受辱禁处',
+  '渗透中共',
+  '烟花直销',
+  '午夜影院',
+  '新闻管制',
+  '联总之声',
+  '强娶娇妻',
+  '质押贷款',
+  '张德江*',
+  '过渡政府',
+  '尖阁群岛',
+  '浓情秘史',
+  '混 沌决',
+  '肾源买卖',
+  '成人bt',
+  '迷魂香*',
+  '开假发票',
+  '人民报*',
+  '在线赌钱',
+  '股民别哭',
+  '情迷都市',
+  '穿透仪器',
+  '星岛日报',
+  '无码精选',
+  '色情导航',
+  '香港开奖',
+  '亚洲周刊',
+  '六月飞雪',
+  '⑥四分子',
+  '艳兽都市',
+  '爆竹供应',
+  '监听器*',
+  '替人清债',
+  '出售黑狗',
+  '替人了仇',
+  '办军官证',
+  '乳此动人',
+  '种族灭绝',
+  '淘金盈网',
+  '纪登奎*',
+  '独裁政治',
+  '欧美情爱',
+  '一柱擎天',
+  '个人崇拜',
+  '专制当局',
+  '丰满坚挺',
+  '席指着护',
+  '股市笑话',
+  '大国战疫',
+  '前凸后翘',
+  '脱衣美女',
+  '乳波臀浪',
+  '金瓶梅3',
+  '麻醉诱导',
+  '禁忌之旅',
+  '伦理电影',
+  '暴露指令',
+  '情欲人生',
+  '7大军区',
+  '出售刺刀',
+  '贺国强*',
+  '枪支售卖',
+  '家庭教会',
+  '情色五月',
+  '道具自卫',
+  '欧美原创',
+  '惊天密典',
+  '办证刻章',
+  '十九 届',
+  '巫毒娃娃',
+  '美腿诱惑',
+  '购买枪支',
+  '群虐老婆',
+  '瓦解专制',
+  '购蒙汗药',
+  '邓小平*',
+  '爱图公园',
+  '亲共分子',
+  '国家机密',
+  '超爽艳图',
+  '中国之春',
+  '抗议镇压',
+  '民为法执',
+  '法$$纶',
+  '王瑞林*',
+  '新冠肺炎',
+  '及川奈央',
+  '陈希同*',
+  '吉井美希',
+  '长沙办证',
+  '法**纶',
+  '投注取现',
+  '天下围城',
+  '遥控色子',
+  '倍他罗定',
+  '枪决女犯',
+  '漂流淫河',
+  '超级女警',
+  '出售汔狗',
+  '售弹簧刀',
+  '放荡人妻',
+  '剿共复国',
+  '幼幼同志',
+  '醉人倾离',
+  '邓二世*',
+  '审氵工案',
+  '枪支销售',
+  '香烟批发',
+  '纯古直销',
+  '显号软件',
+  '迷幻香水',
+  '反共复民',
+  '独立宣言',
+  '学历办理',
+  '基因编辑',
+  '普罗庚嗪',
+  '非法关押',
+  'J总病危',
+  '樱井莉亚',
+  '江系干将',
+  '彩色淫媚',
+  '血洗京城',
+  '李屠夫*',
+  '天降神龙',
+  '统独论坛',
+  '民众爆动',
+  '迷幻药*',
+  '股民跳楼',
+  '代人报仇',
+  '出售猎狗',
+  '江泽民*',
+  '真主安拉',
+  '曾庆红*',
+  '西藏暴乱',
+  '替人消灾',
+  '杀害学生',
+  '杭州办证',
+  '深度诱惑',
+  '日本熟母',
+  '短刀直销',
+  '金龙神枪',
+  '乳下留情',
+  '助勃乳液',
+  '鹿城娱乐',
+  '以权谋私',
+  '毛魂附体',
+  '极品白虎',
+  '丙哌利定',
+  '夫妇乐园',
+  '玛雅论坛',
+  '裙下风光',
+  '人权民运',
+  '午夜电影',
+  '法**抡',
+  '大gi元',
+  '真人轮盘',
+  '广场学生',
+  '法@@论',
+  '情色文学',
+  '政zhi',
+  '回民是猪',
+  '破解投注',
+  '盗摄护士',
+  '假比出售',
+  '被害学员',
+  '乡野痞医',
+  '无水哌嗪',
+  '冰麻出售',
+  '花季护航',
+  '出售臊冰',
+  '销售藏刀',
+  '替人砍人',
+  '阴阜高耸',
+  '自杀指南',
+  '百家乐*',
+  '名刀出售',
+  '收养孩子',
+  '玉体酥乳',
+  '酣乐欣*',
+  '纯古批发',
+  '信誉平台',
+  '天安门母',
+  '有偿捐献',
+  '王兆国*',
+  '台海局势',
+  '乐酷搏彩',
+  '强制拆除',
+  '北京政权',
+  '快速删帖',
+  '高薪养廉',
+  '酥胸白亮',
+  '入穴一游',
+  '骚小浪女',
+  '楼凤论坛',
+  '亚洲交互',
+  '回民暴动',
+  '还原真相',
+  '美女电影',
+  '壮阳啫喱',
+  '反汉复藏',
+  '庆红批阅',
+  '色性影视',
+  '猜宝仪器',
+  '苹果日报',
+  '成人黄站',
+  '高校暴乱',
+  '甜性涩爱',
+  '买卖弯刀',
+  '凌虐玉门',
+  '代生孩子',
+  '激情小说',
+  '新金瓶梅',
+  '毛亲民党',
+  '流泪的狼',
+  '台湾建国',
+  '吗哌利定',
+  '杨白劳问',
+  '丧事喜办',
+  '出售处男',
+  '连弩直销',
+  '麻醉迷幻',
+  '国家囚徒',
+  '幼幼极品',
+  '网上办证',
+  '达赖活佛',
+  '咪咪图片',
+  '解决台湾',
+  '六欲仙缘',
+  '女马白勺',
+  '东方闪电',
+  '极品奶妹',
+  '步狗专卖',
+  'ISIS',
+  '活体器官',
+  '毛董建华',
+  '夫妻交换',
+  '八九之后',
+  '极品波霸',
+  '秘密关押',
+  '亚洲bt',
+  '壮阳保健',
+  '成人聊天',
+  '制服美妇',
+  '印尼屠华',
+  '羟蒂巴酚',
+  '春染绣塌',
+  '攻占台湾',
+  '艾司唑仑',
+  'dl喇嘛',
+  'tui谠',
+  '台wan',
+  '砷酸直销',
+  '母子交欢',
+  '自己找枪',
+  '治国理政',
+  '吡咯戊酮',
+  '禁网禁片',
+  '中央军委',
+  '监听宝*',
+  '激情诱惑',
+  '新冠病毒',
+  '种族歧视',
+  '裸体贴图',
+  '黄色激情',
+  '直销爆竹',
+  '李继耐*',
+  '官官相通',
+  '出售汔枪',
+  '维权诗集',
+  '奇淫宝鉴',
+  '三优娱乐',
+  '改装猎狗',
+  '双峰微颤',
+  '南方公园',
+  '尉健行*',
+  '洋妞上门',
+  '有偿献肾',
+  '素人电影',
+  '漂漂美眉',
+  '狼友必上',
+  '蒙汗药粉',
+  '花侠浪魂',
+  '媚骨销魂',
+  '享乐淫逸',
+  '都市花盗',
+  '苯哌利定',
+  '法**沦',
+  '代办年检',
+  '折叠狗卖',
+  '总参谋部',
+  '维权人士',
+  '法^^纶',
+  '琼浆玉液',
+  '没有人权',
+  '民主女神',
+  '帮人了难',
+  '逃犯条例',
+  '血洗京华',
+  '旷野窄门',
+  '正派民运',
+  '彩信改号',
+  '出售战刀',
+  '欧美无套',
+  'Shit',
+  '凤霸天下',
+  '色情服务',
+  '情色仙林',
+  '郭伯雄*',
+  '台海危机',
+  '邻居美妻',
+  '裸露自拍',
+  '商务陪游',
+  '巨槌骑兵',
+  '西藏正义',
+  '胯下失守',
+  '氵去车仑',
+  '提供小姐',
+  '代人出气',
+  '长春讲法',
+  '帮人报复',
+  '拉登中国',
+  '3级影片',
+  '成人情色',
+  '兼职少妇',
+  '足球皇冠',
+  '吗苯丁酯',
+  '姚依林*',
+  '五套功法',
+  '女神国际',
+  '虐恋花园',
+  '公关兼职',
+  '喷雾迷幻',
+  '中国工党',
+  '无需担保',
+  '百年祸国',
+  '李岚清*',
+  '侦探设备',
+  '十八岁猛汉',
+  '牛B，牛比',
+  '性感沙滩2',
+  '摇头糖合成',
+  '氯磺酸批发',
+  '批发秦氏弩',
+  '原装进口弩',
+  '资本、市场',
+  '热血洒广场',
+  '中国共产党',
+  '老虎机破解',
+  '侦探设备*',
+  '豪享博娱乐',
+  '美女聊天室',
+  '提供秦氏弩',
+  '西藏的压制',
+  '610组织',
+  '永利博娱乐',
+  '股民受损失',
+  '出售猎豹弩',
+  '太上皇病危',
+  '尉 健 行',
+  '冰糖冰提供',
+  '猎头者出售',
+  '山奈钾供应',
+  '新观察论坛',
+  '摇头糖订购',
+  '出售黄牙冰',
+  '两会的大戏',
+  '青海无上师',
+  '卖业主信息',
+  '股票顺口溜',
+  '复制手机卡',
+  '高校暴乱*',
+  '征收呼吸税',
+  '供应汽动狗',
+  '批发手拉狗',
+  '麦当劳被砸',
+  '江家和三代',
+  '突破封锁*',
+  '直销膛线管',
+  '黄樟素供应',
+  '情狐txt',
+  '神仙水供应',
+  '别有香残本',
+  '长安街逆行',
+  '出售高压狗',
+  '历史篡改者',
+  '两会气死你',
+  'jing坐',
+  '黑星女侠*',
+  '订购赵氏弩',
+  '海立方娱乐',
+  '出售雷明顿',
+  '各式警常服',
+  '舌战法庭*',
+  '第三代领导',
+  '砷化氢供应',
+  '提供化学冰',
+  '购买汽动狗',
+  '追查国际*',
+  '销售氢可酮',
+  '快活林导航',
+  'gong和',
+  '迷乱的村庄',
+  '改装PPK',
+  '氯化磷批发',
+  '官员因涉黑',
+  '销售散弹枪',
+  '香港马会*',
+  '转让气动狗',
+  '提供呋替啶',
+  '神仙水专卖',
+  '股票造的孽',
+  '氰化汞供应',
+  '眯眯俱乐部',
+  '出售偷拍器',
+  '全范围教会',
+  '钦 本 立',
+  '拱.铲.谠',
+  '花和尚导航',
+  '购买木邦刀',
+  '第3代领导',
+  'king粉',
+  '神通加持法',
+  '睡着的武神',
+  '冷兵器专卖',
+  '摸黑毛泽东',
+  '西藏妇女会',
+  'VPN代理',
+  '坦克车压伤',
+  '钟央大手掌',
+  '邮票黑芝麻',
+  '胡boss',
+  '同志电影网',
+  '杨野的禁脔',
+  '高干子女*',
+  '棍王巴大亨',
+  '可以cao',
+  '周恩来后悔',
+  '销售qi狗',
+  '美国之音*',
+  '私密，视频',
+  '明星裸体照',
+  '同样的人权',
+  '催情迷昏药',
+  '散弹狗出售',
+  '风月艳留香',
+  '中国新民党',
+  '神仙水提供',
+  '出售阻击枪',
+  '绝食抗暴*',
+  '已婚女帐篷',
+  '啊好舒服啊',
+  '出售冰牙签',
+  '提供散弹狗',
+  '赵 紫 阳',
+  '4-Jun',
+  '色情五月天',
+  '出售武士刀',
+  '供应散弹枪',
+  '供应战术刀',
+  '学生运动',
+  '党文化污染',
+  '小姐你真骚',
+  '庐江6P门',
+  '蒙-汗-药',
+  '专卖求生刀',
+  '镇压学生*',
+  '曼娜回忆录',
+  '铃木麻奈美',
+  '仿真狗出售',
+  '亚洲电影区',
+  '阳江刀具网',
+  '毛主席临终',
+  '明慧周刊*',
+  '订购气动狗',
+  '李 总 理',
+  '东森新闻网',
+  '庐江门种子',
+  '学历证办理',
+  '卖骨髓收肾',
+  '共和国之怒',
+  '自杀手册*',
+  '如何做炸药',
+  '审江大联盟',
+  '高校骚乱*',
+  '东北xx网',
+  '北京学生妹',
+  '死刑过程*',
+  '气动狗提供',
+  '大中华论坛',
+  'xing爱',
+  '氰化碘直销',
+  '领导人保镖',
+  '十七大风云',
+  '与表妹通奸',
+  '12次下跪',
+  '改装散弹枪',
+  '高仿真名烟',
+  '命运共同体',
+  '销售高压狗',
+  '直销手拉狗',
+  '敌杀磷批发',
+  '出售猎l枪',
+  '六si死难',
+  '销售散弹狗',
+  '乙烯砜直销',
+  '传承、娱乐',
+  '村医txt',
+  '氰化镉提供',
+  '神州忏悔录',
+  '我们自杀吧',
+  '砍翻一条街',
+  '92狗qq',
+  '氯乙酸直销',
+  '曾 庆 红',
+  '和平请愿书',
+  '露出林心乳',
+  '气动狗直销',
+  '两会打瞌睡',
+  '娼妓业进程',
+  '黄 牙 签',
+  '山奈钾订购',
+  '手机偷听器',
+  '坚硬持久膏',
+  '闵行倒钩门',
+  '中国弓驽网',
+  '王式惠重庆',
+  'kaobi',
+  '571工程',
+  '肉体治疗师',
+  '出售小飞虎',
+  '玉女白菊花',
+  '色狐狸网址',
+  '出售阳江刀',
+  '艳欲十二宫',
+  '隐私1图片',
+  '缠上txt',
+  '弄儿的后宫',
+  '射出郭晶晶',
+  '手机变号机',
+  '出售冷兵器',
+  '兼职学生妹',
+  '三夫妻下载',
+  '信号拦截器',
+  'taidu',
+  '取悦王维工',
+  '万人大签名',
+  '销售可待因',
+  '歌厅有毒品',
+  '欢乐谷导航',
+  '联合国大会',
+  '电车之狼*',
+  '中办警卫局',
+  '出售假2钞',
+  'zemin',
+  '多里坤艾沙',
+  '办假导游证',
+  '销售麦角胺',
+  '往事追忆录',
+  '四二五事件',
+  'vpn翻墙',
+  '蒙汗药粉*',
+  '人民的基儿',
+  '手拉狗批发',
+  '真n善n忍',
+  '一个色导航',
+  '提供灭多威',
+  '应召女郎*',
+  '魏 新 生',
+  '股评在撤谎',
+  '代办产地证',
+  '销售替力定',
+  '折叠狗出售',
+  '成人聊天室',
+  '氰化碘提供',
+  '豪门浪荡史',
+  '伊斯兰运动',
+  '把民意强奸',
+  '慕郎百花羞',
+  '免费偷窥网',
+  '大赢家赚钱',
+  '少女潘金莲',
+  '高树三姐妹',
+  '供应敌蝇威',
+  '直销汽动狗',
+  '和你一起做',
+  '气动狗订购',
+  '妻子的付出',
+  '卖枪支弹药',
+  '出售下列枪',
+  'A片播放器',
+  '批发水银汞',
+  '销售CS狗',
+  '庐江县6p',
+  '转让膛线管',
+  '小泽玛利亚',
+  '黄樟素提供',
+  '氰化物供应',
+  '王子淫传*',
+  '大FA弟子',
+  '歪批闭幕式',
+  '砷化氢批发',
+  '艳女销魂泪',
+  '老.虎.机',
+  '专卖猎豹弩',
+  'L·H·Z',
+  '股市欢迎你',
+  '销售警用刀',
+  '销售蒂巴因',
+  '快活谷论坛',
+  '身份生成器',
+  '热站政论网',
+  '提供礼花弹',
+  '毛主席资料',
+  '批发折叠刀',
+  '大法大福*',
+  '8平方事件',
+  '海luo因',
+  '假结婚证Q',
+  '氰化镉供应',
+  '穆斯林国家',
+  '特务民运*',
+  '张 万 年',
+  '我的性启蒙',
+  '直销执勤装',
+  '针对台湾*',
+  '散弹枪买卖',
+  '逍遥小散仙',
+  '木兰裆裤湿',
+  '弩设备专卖',
+  '持不同政见',
+  '亚洲转帖区',
+  '欢乐性今宵',
+  '前列腺保养',
+  '哌啶丙酸盐',
+  '通灵师手记',
+  '自杀式爆炸',
+  '邓颖超日记',
+  '周恩来忏悔',
+  '少女bb图',
+  '第一代领导',
+  '神医的克星',
+  '夫妻玩6P',
+  '自助按摩棒',
+  '我爱小姨子',
+  '周小川出逃',
+  '出售麻雷子',
+  '氵去车仑工',
+  '夫妇乐园*',
+  '黄海ci胡',
+  '新利记赛马',
+  '购买气动狗',
+  '粗大的玩意',
+  '西单民主墙',
+  '青天白日旗',
+  '转让赵氏弩',
+  '神仙糖销售',
+  '购买银行卡',
+  '手机监听卡',
+  '引爆器供应',
+  '前列腺保健',
+  '打坦克手册',
+  '手拉狗购买',
+  '第六代领导',
+  '神仙糖订购',
+  '东正教大法',
+  '李 总 统',
+  '波多野结衣',
+  '敌恶磷直销',
+  '裸女对对碰',
+  '学历鹮办理',
+  '供应麻醉箭',
+  '咪咪电影网',
+  '罢饭凸点装',
+  '甲基肼直销',
+  '610邪恶',
+  '魔女乖乖粉',
+  '订购打鸟枪',
+  '智取小姨子',
+  '李培英贪贿',
+  '邓 笑 贫',
+  '院长办公室',
+  '砍杀小学生',
+  '少年阿宾*',
+  '法l2工力',
+  '党政一把手',
+  '出售麦角醇',
+  '法轮{5}',
+  '手拉狗供应',
+  '大玩家娱乐',
+  '新唐人电视',
+  '折叠狗专卖',
+  '乌云其木格',
+  '提供平头刀',
+  '出售风城枪',
+  '订购汽动狗',
+  '礼花弹订购',
+  '胡温政府*',
+  '王武龙江苏',
+  '戴 相 龙',
+  '妹妹的服务',
+  '股民陈永平',
+  '共+产+党',
+  '沙皇李长春',
+  '610成员',
+  '89年6月',
+  '周恩来自责',
+  '汽动狗转让',
+  '氢化可的松',
+  '钓鱼岛争端',
+  '达米宣教会',
+  '销售手拉狗',
+  'g点双享器',
+  '爱神之传奇',
+  '退dang',
+  '选国家主席',
+  '碳酰氯供应',
+  '唐刀专卖网',
+  '专卖秦氏弩',
+  '丁字裤翘臀',
+  '供应学生证',
+  '直销麦角胺',
+  '李 洪 志',
+  '校园群芳记',
+  '手淫无档次',
+  '董存瑞他妈',
+  '九评{5}',
+  'zifen',
+  '专卖可待因',
+  '太阳圣殿教',
+  '冯仰妍快播',
+  '禁恋深陷迷',
+  '购买氯化钾',
+  '针孔摄像头',
+  '四人帮材料',
+  '妹妹好风骚',
+  '有意者联系',
+  '西藏要人权',
+  '买卖54狗',
+  '自由亚州*',
+  '原装汽狙狗',
+  '迷昏口香糖',
+  '抱你在身边',
+  '破解版工具',
+  '党内言事潮',
+  '礼花弹购买',
+  '风骚侍女*',
+  '极品桃花运',
+  '黄体酮销售',
+  '销售可可精',
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+  '人宇特能功',
+  '大学骚乱*',
+  '当代秦始皇',
+  '礼花弹直销',
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+  '贪污一摞子',
+  '甲基肼批发',
+  '无线窃听器',
+  '调查婚外情',
+  '河殇核污染',
+  '污黑txt',
+  '万法归一功',
+  '仓井空电影',
+  '办假结婚证',
+  '专卖喵喵药',
+  '礼花弹提供',
+  '第5代领导',
+  '宋晨光江西',
+  '暴力，袭警',
+  '红旗在颤抖',
+  '五套功法*',
+  '销售十字锁',
+  '最新se站',
+  '第6代领导',
+  '神仙糖批发',
+  '供应杀它仗',
+  '同志女论坛',
+  '销售醋托啡',
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+  '平码三中三',
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+  '贯通两极法',
+  '欲望在燃烧',
+  '卖qq号码',
+  '弹簧狗出售',
+  '丝袜聊天室',
+  '帅哥插帅哥',
+  '百乐坊娱乐',
+  '中南海红卡',
+  '学生暴动*',
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+  '门事件种子',
+  '九ping',
+  '公审江泽民',
+  '大陆当权者',
+  '乱情马窝村',
+  '礼花弹供应',
+  '供应散弹狗',
+  '正派民运*',
+  '胡椒基甲基',
+  '四六级答案',
+  '毛泽东得意',
+  '直销秦氏弩',
+  '麦角胺订购',
+  '原点txt',
+  '苯环已哌啶',
+  '批发膛线管',
+  '麦角胺销售',
+  '股民砸股票',
+  '厦门大游行',
+  '江山美人志',
+  '香港赛馬会',
+  '手机截听器',
+  'PPK销售',
+  '相控阵雷达',
+  '买肾源QQ',
+  '假硬币QQ',
+  'ｖｕｌｖａ',
+  '鸡毛信文汇',
+  '马烈孙宁夏',
+  '股市三熊组',
+  '流氓民运*',
+  '幼儿园砍杀',
+  '有纯古出售',
+  '让领导先走',
+  '磷化锌批发',
+  '第二代领导',
+  '大法大纪园',
+  '六级证办理',
+  '火补避孕套',
+  '神仙糖买卖',
+  '转让汽动狗',
+  '王有杰河南',
+  '批发连发枪',
+  '折叠阻击弩',
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+  '原谅朱镕基',
+  '野战刀直销',
+  '隐形耳机*',
+  '王庆录广西',
+  '素人俱乐部',
+  '砷化氢直销',
+  '欧洲圆明网',
+  '火药的配方',
+  '供应手拉狗',
+  '办真实学历',
+  '麦角胺供应',
+  '毛双峰微颤',
+  '政治局常委',
+  '反恐委员会',
+  '氰化钙价格',
+  '购买礼花弹',
+  '出售白牙冰',
+  '大法之声*',
+  'G·M·D',
+  '武林红杏传',
+  '极品留学生',
+  '气动狗销售',
+  '支持台湾*',
+  'DIY核弹',
+  '你的二我懂',
+  '砖石冰提供',
+  '日麻屁为荣',
+  '猎爱的男人',
+  '张 志 清',
+  '出售气狙狗',
+  '中国的陷阱',
+  '碧玉鸳鸯扣',
+  '转让黑鹰弩',
+  '向学生开枪',
+  '多s党执政',
+  '多党执政*',
+  '浴室，视频',
+  '亲共行动*',
+  '股市民谣*',
+  '气动狗购买',
+  '老龄化社会',
+  '供应黑鹰弩',
+  '法轮周天法',
+  '迷药迷情药',
+  '20和谐年',
+  '网络评论员',
+  '法办江泽民',
+  '驱妖女仆队',
+  '俪影蝎心*',
+  '大叔我爱你',
+  '无缐窃听器',
+  '手拉狗提供',
+  '生成身份证',
+  '中国的人权',
+  '甲基肼提供',
+  '砍杀幼儿园',
+  '提供神仙水',
+  '氰化物提供',
+  '成人午夜场',
+  '销售呋替啶',
+  'fgmtv',
+  '帮人复仇网',
+  '供应苯三酚',
+  '黄色小说*',
+  '甲基可可碱',
+  'b毛全潦倒',
+  '亚硒酸氢钠',
+  '野营刀专卖',
+  '荒村大觉醒',
+  '社会在呻吟',
+  '太阳花运动',
+  '情色{5}',
+  '二甲基吡啶',
+  '氰化氢直销',
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+  '股民泪沾裳',
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+  '成人五月天',
+  '直销户外刀',
+  '提供芽子碱',
+  '招坐台公关',
+  '汽动狗销售',
+  '供应阳江刀',
+  '人妻兽虐曲',
+  '母女狩猎者',
+  '鲜血洒广场',
+  '张家盟浙江',
+  '香港大游行',
+  '公务员代考',
+  '又有钱贪污',
+  '人民在流泪',
+  '出售锡锋枪',
+  '老汗用力推',
+  '陈水扁总统',
+  '转让手拉狗',
+  '凌辱俱乐部',
+  '喷雾蒙汗药',
+  '楼房奇遇夜',
+  '吴 官 正',
+  '开东莞税票',
+  '信号屏蔽器',
+  '平安夜自杀',
+  '喷雾型迷药',
+  '所谓的制度',
+  '西藏基金会',
+  '销售黄体酮',
+  '放学后x交',
+  '植物化壆冰',
+  '掰穴皮卡丘',
+  '拉开水晶棺',
+  '荒井美惠子',
+  '直销气动狗',
+  '高.智.晟',
+  '出售黑鹰弩',
+  '卖肾源QQ',
+  '我没有敌人',
+  '台湾身份证',
+  '麻雷子销售',
+  '麦角胺提供',
+  '腐败F·B',
+  'a级情片*',
+  '羰基镍供应',
+  '李长一样春',
+  '卖虎头双管',
+  '自杀指南*',
+  '李 旺 阳',
+  '直销野战刀',
+  '出售套牌车',
+  '死刑枪毙*',
+  '晚年周恩来',
+  '网络棋牌室',
+  '李登辉总统',
+  '改革 开放',
+  '少女发育图',
+  '吴 邦 国',
+  '毕业证办理',
+  '冤民大同盟',
+  '群体灭绝罪',
+  '销售ppk',
+  '哌甲酯出售',
+  '来源不明罪',
+  '李哄志邪说',
+  '水果冰提供',
+  '大院春意浓',
+  '盘古乐队*',
+  '陈维席安徽',
+  '敌杀磷供应',
+  '提供阳江刀',
+  '610恶人',
+  '大中国论坛',
+  '出售黄体酮',
+  '西藏天葬*',
+  '出售高仿枪',
+  '官场顺口溜',
+  '广电总局*',
+  '气动狗QQ',
+  '看上去很直',
+  '出售巴雷特',
+  '高薪服务生',
+  '九jiu评',
+  '出售两用弩',
+  '赤倮，姓爱',
+  '台湾放光明',
+  '订购手拉狗',
+  '巨根肉提派',
+  '销售麦罗啡',
+  '610恶徒',
+  'gay同志',
+  '聘坐台公关',
+  '销售青蒿素',
+  '供应气动狗',
+  '改装qi狗',
+  '氯磺酸供应',
+  '汽动狗购买',
+  '和平修炼*',
+  '磷化锌提供',
+  '销售哌替啶',
+  '迷-魂-药',
+  '开沧州酦票',
+  '裸海神美男',
+  '马英九总统',
+  '维权抗暴*',
+  '公鸡操母鸡',
+  '湿透的内裤',
+  '提供学生证',
+  '销售黄牙签',
+  '破网软件*',
+  '挥发型迷药',
+  '专卖战神弩',
+  '化学冰供应',
+  '氰化镉直销',
+  '订购野战刀',
+  '真文凭办理',
+  '血染的风采',
+  '很黄很暴力',
+  '私人服务器',
+  '乙烯砜批发',
+  '一通健康法',
+  '毛乳波臀浪',
+  '直销神仙水',
+  '氯甲酸乙酯',
+  '诱惑女教师',
+  '枕上春残本',
+  '还我钓鱼岛',
+  '礼花弹批发',
+  '硝酸铵出售',
+  '湿身的诱惑',
+  '黄樟素销售',
+  '核工业基地',
+  '中共十八大',
+  '努尔白克力',
+  '汽动狗直销',
+  '卖冰钻手机',
+  '五一七宣言',
+  '雷明顿出售',
+  'zang人',
+  '订购双管猎',
+  '硫酸二甲酯',
+  '刀具直销网',
+  '426社论',
+  '直销礼花弹',
+  '炮轰铁道部',
+  '大规模骚乱',
+  '气动狗供应',
+  '供应斩马刀',
+  '桑拿一条龙',
+  '出售自制枪',
+  '呖呖园上操',
+  '钓*鱼*岛',
+  '联邦政府*',
+  '灵仙真佛宗',
+  '610狂妄',
+  '专卖赵氏弩',
+  '大丑风流记',
+  '长安街游行',
+  '邓小平英语',
+  '三硝基甲苯',
+  '赵 海 青',
+  '妻诱之情趣',
+  '茅台酒回收',
+  '重评毛泽东',
+  '出售水晶冰',
+  '股民已失眠',
+  '情色5月天',
+  '中国复兴党',
+  '天安门一代',
+  '偷情保护令',
+  '中共警察*',
+  '晚上洞空空',
+  '帮人被欺负',
+  '代办驾驶证',
+  '一品色导航',
+  '炸药的配方',
+  'fa车仑工',
+  '好色美少女',
+  '原装双管枪',
+  '解体党文化',
+  '月真的瘦了',
+  '浴城txt',
+  '全新银行卡',
+  '中华局域网',
+  '供应赵氏弩',
+  '专卖阳江刀',
+  '手拉狗出售',
+  '西藏出事了',
+  '氰化碘供应',
+  '气抢专卖网',
+  '敌恶磷供应',
+  '神医擒美录',
+  '前核心病危',
+  '人权是奢侈',
+  '微型窃听器',
+  '高压狗QQ',
+  '圣母机器人',
+  '转让战术刀',
+  '羰基氟批发',
+  '手拉狗专卖',
+  '万能遥控器',
+  '群体性事件',
+  '礼花弹销售',
+  '专卖古柯叶',
+  '先天的痴女',
+  '毛爷爷复活',
+  '销售卡西酮',
+  '爸爸的新娘',
+  '摇头糖销售',
+  '钓鱼岛事件',
+  '出售水果冰',
+  '出售成品冰',
+  '亚洲贴图区',
+  '失贞的都市',
+  '凌辱之都市',
+  '深港一体化',
+  '直销赵氏弩',
+  '92枪专卖',
+  'ML花运动',
+  '中南海保镖',
+  '出售骨髓源',
+  '专卖麦角胺',
+  '疯诉txt',
+  '毛主席复活',
+  '四二二事件',
+  '膛线管专卖',
+  '辣妹聊天室',
+  '氰化汞直销',
+  '性免费电影',
+  '专卖野营刀',
+  '高干新子弟',
+  '迷魂药激情',
+  '黄se小说',
+  '氯乙酸批发',
+  '乙烯砜供应',
+  '磷化锌供应',
+  '毛泽东临终',
+  '供应高压狗',
+  '610恶警',
+  '隐形喷剂*',
+  '尼蒙尔克素',
+  '出售身份证',
+  '出售土仿狗',
+  '提供雷鸣登',
+  '39仓Ku',
+  '甲基肼供应',
+  '610国保',
+  '粉碎四人帮',
+  '解放军镇压',
+  '邓力群自述',
+  '清海无上师',
+  '主席李世民',
+  '韩 东 方',
+  '股市新民谣',
+  '武林启示录',
+  '《春欲手》',
+  '出售枪支*',
+  '空天使种子',
+  '中文搜性网',
+  '销售古柯叶',
+  '直销阳江刀',
+  '专业删贴吧',
+  '活体器官*',
+  '手拉狗订购',
+  '红 灯 区',
+  '抗议磁悬浮',
+  '枪杀王志平',
+  '提供高压狗',
+  '军委公开信',
+  '邓爷爷转世',
+  '风月大陆*',
+  '610头子',
+  '全套的服务',
+  '供应qi狗',
+  '新疆打砸抢',
+  '直销战术刀',
+  '祖国在沉睡',
+  '三级七日情',
+  '成人贴图区',
+  '出售38枪',
+  '强效失意药',
+  '销售礼花弹',
+  '天父的儿女',
+  '出售冰@毒',
+  '直销氯化钾',
+  '雷明顿销售',
+  '流氓无产者',
+  '飞易vpn',
+  '为情字煎熬',
+  '提供麦角胺',
+  '招坐台小姐',
+  '销售汽动狗',
+  '暮春堂狼友',
+  '新八荣八耻',
+  '香港三中三',
+  '泽尻绘里香',
+  '小犬蠢一狼',
+  '找职业杀手',
+  '高消费名录',
+  '狂吞阿娇水',
+  '男人是垃圾',
+  '修炼之歌*',
+  '氯乙酸提供',
+  '为党不为国',
+  '三唑纶出售',
+  '宪法修正案',
+  '皇冠国际网',
+  '改装高压狗',
+  '金钱豹娱乐',
+  '狂野逃离富',
+  '氰化钙批发',
+  '东突民族党',
+  '攀上女领导',
+  '淫术炼金士',
+  '碳酰氯批发',
+  '第五代红人',
+  '乙烯砜提供',
+  '社会 主义',
+  'A集中营*',
+  '转让野战刀',
+  '肉体的满足',
+  '少女迷情药',
+  '301医院',
+  '明镜出版社',
+  '唐人电视台',
+  '山奈钾批发',
+  '成人娱乐网',
+  '无国界记者',
+  '氰化钙供应',
+  '拍肩神药*',
+  '熟女网爱记',
+  '雨夜送耀邦',
+  '中央警卫团',
+  '手拉狗销售',
+  '新情色海岸',
+  '反中游行*',
+  '氯磺酸提供',
+  '米凤君吉林',
+  '反封锁技术',
+  '出售氯苯基',
+  '江爷爷来背',
+  '王厚宏海南',
+  '明慧的同修',
+  '晚上吊没事',
+  '预测领导人',
+  '出售黄牙签',
+  '第四代领导',
+  '激情片下载',
+  '茉莉花革命',
+  '台湾伦乱网',
+  '风骚的少妇',
+  '器官移植*',
+  '水晶冰出售',
+  '帝国之梦*',
+  '销售丙吡兰',
+  '销售鼻吸剂',
+  '小池绘美子',
+  '红朝邓二世',
+  '国家领导人',
+  '三班仆人派',
+  '供应进口弩',
+  '共.产.党',
+  '悼念胡耀邦',
+  '国际援藏网',
+  '妹妹美图网',
+  '正邪大决战',
+  '强jian',
+  '氯化钾出售',
+  '古方迷香*',
+  '最佳抵债妻',
+  '山奈钾提供',
+  '销售水晶冰',
+  '洪发交流*',
+  '流了好多水',
+  '手机窃听卡',
+  '办假学生证',
+  '少妇是红酒',
+  '互联网审查',
+  '记者无疆界',
+  'FALun',
+  '手机追踪器',
+  '诺查丹玛斯',
+  '销售枪支*',
+  '神鬼18妓',
+  '销售干扰器',
+  '达赖过封锁',
+  '毛新闻管制',
+  '桑东仁波切',
+  '订购麦角胺',
+  '窃听器软件',
+  '北美讲坛s',
+  '手拉狗直销',
+  '提供钢珠弹',
+  '天天干贴图',
+  '专卖黑鹰弩',
+  '速效迷奸药',
+  '批发氯化钾',
+  '美国维吾尔',
+  '永利娱乐场',
+  '卖肾脏QQ',
+  '政策来捣鬼',
+  '蓝田造假案',
+  '迷离的嫂嫂',
+  '隐退的正义',
+  '夫妻俱乐部',
+  '郭 罗 基',
+  '正义党论坛',
+  '专卖野战刀',
+  '手机监听器',
+  '第五代领导',
+  '出售走私车',
+  '枪决现场*',
+  '台湾政论区',
+  '专卖冰牙签',
+  '推bei图',
+  '蜜桃成熟时',
+  '不爽不要钱',
+  '转让秦氏弩',
+  '供应毒杀芬',
+  '大硞弟子*',
+  'T.M.D',
+  '民为法执*',
+  '强征建官员',
+  '艳遇风流记',
+  '江泽民瑞士',
+  '出售白牙签',
+  '朱小华光大',
+  '花和尚影院',
+  '李 淑 娴',
+  '汽动狗供应',
+  '手机窃听器',
+  '敌杀磷直销',
+  '欧美转帖区',
+  '610歹徒',
+  '狼友俱乐部',
+  '黄樟素订购',
+  '提供野战刀',
+  '专卖礼花弹',
+  '亲共来源*',
+  '第二十七军',
+  '销售芽子碱',
+  '折叠狗QQ',
+  '供应敌敌畏',
+  '化学冰提供',
+  '毛你二大爷',
+  'FALUN',
+  '夜话紫禁城',
+  'T。M。D',
+  '销售喵喵药',
+  '刷信誉平台',
+  '枪决女犯*',
+  '人quan',
+  '股民在哀号',
+  '真人888',
+  '服务器托管',
+  '华茗代考网',
+  '圣战培训班',
+  '无毛美少女',
+  '删帖子软件',
+  'fa抡工力',
+  'xiao平',
+  '招坐台少爷',
+  '专卖打鸟枪',
+  '李 岚 清',
+  '最新一本道',
+  '敌恶磷批发',
+  '批发求生刀',
+  '535纪念',
+  '赵氏弩直销',
+  '职业是做鸡',
+  '朱作勇甘肃',
+  '代办身份证',
+  '中国威胁论',
+  '孙善武河南',
+  '三夫妻开房',
+  '女色情自拍',
+  '暴力拆迁*',
+  '610同伙',
+  '阅兵提前看',
+  '国民党名单',
+  '毛泽东复活',
+  '我爱狐狸精',
+  '秦氏弩直销',
+  '供应麦角胺',
+  '神也是男人',
+  '中文解码王',
+  '死亡笔记*',
+  '天鹅绒行动',
+  '羰基镍提供',
+  '恩来马上做',
+  '林昭纪念奖',
+  '第七代领导',
+  '毛泽民之子',
+  '镇压学生v',
+  '投毒杀人*',
+  '情色一条龙',
+  '王 冶 坪',
+  '批发阳江刀',
+  '娱乐棋牌城',
+  '38集团军',
+  '血是在广场',
+  '动*态*网',
+  '出售进口枪',
+  '销售膛线管',
+  '阿西尔白克',
+  '专访赵紫阳',
+  '香港民主派',
+  '香港等国家',
+  '娇美的舅妈',
+  '雪白的肥臀',
+  '路人txt',
+  '找政府评理',
+  '购买手拉狗',
+  '水果冰出售',
+  '提供汽动狗',
+  '吸血三姐妹',
+  '供应礼花弹',
+  '股民第一歌',
+  '610基地',
+  '氯乙酸供应',
+  '羟基丁酸钠',
+  '湿润的内裤',
+  '姐夫txt',
+  '氯磺酸直销',
+  '避孕药催大',
+  '地磅解码器',
+  '三夫妻种子',
+  '610恐怖',
+  '现在的警察',
+  '机密文件*',
+  '六代接班人',
+  '9ping',
+  '李 瑞 环',
+  '专政机器*',
+  '四二六社论',
+  '逍遥游论坛',
+  '供应秦氏弩',
+  '买卖神仙糖',
+  '提供气动狗',
+  '单人分析仪',
+  '现役看护妇',
+  '汽动狗订购',
+  '常委汪兆钧',
+  '出轨txt',
+  '第1代领导',
+  '出售黎城面',
+  '麦角胺专卖',
+  '知法犯法奖',
+  '四海龙女*',
+  '暴力镇压*',
+  '股市告别书',
+  '贪污T·W',
+  '神仙糖出售',
+  '考试用耳机',
+  '610绑架',
+  '永利现金网',
+  '新华通论坛',
+  '湘女戴庆媛',
+  '空天使全集',
+  '异氰酸苯酯',
+  '地磅干扰器',
+  '骑士的血脉',
+  '优昙婆罗花',
+  'dalai',
+  '麦角胺直销',
+  '黄骚冰供应',
+  '社 会主义',
+  '神仙水出售',
+  '批发礼花弹',
+  '祥萨仁波切',
+  '卖真身份证',
+  '钱 其 琛',
+  '买卖枪支*',
+  '汽动狗提供',
+  '出售秦氏弩',
+  '出售BB弹',
+  '王民生艳照',
+  '清zhen',
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+  '内蒙古抗议',
+  '远程偷拍*',
+  'bing毒',
+  '明慧{5}',
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+  '六0五决议',
+  '磷化锌直销',
+  '游xing',
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+  'tibet',
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+  '了仇了事qq',
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+  'nipple',
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+  '若相惜txt',
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+  '销售甲基苯丙',
+  '销售阿尼利定',
+  '股票倒数第一',
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+  '出售外国文凭',
+  'lipeng',
+  '毛主席复活*',
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+  'xitele',
+  'wechat',
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+  '股民埋在弖墟',
+  '供应弩捕狗箭',
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+  '出售上海工字',
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+  '美人情txt',
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+  '功chan挡',
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+  '苯甲基芽子堿',
+  '广州办证公司',
+  '穿越与反穿越',
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+  '出售野营手斧',
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+  'zangdu',
+  '89二十周年',
+  '四六级，答案',
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+  '爱的十个条件',
+  '美人殇txt',
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+  'taiwan',
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+  'jieyan',
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+  '民主不能等待',
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+  '97sese',
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+  '中考答案QQ',
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+  '甲氰菊酯直销',
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+  '真钱龙虎游戏',
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+  '提供申通面单',
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+  'qvod成人',
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+  'WeiXin',
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+  '你还自比雷锋',
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+  '手机窃听设备',
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+  '液体炸药配方',
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+  '溴氰菊酯批发',
+  '出售留学文凭',
+  '销售邻氯苯晴',
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+  '供应膛线狗管',
+  'qq提供枪管',
+  '保险数据QQ',
+  '负面新闻删帖',
+  '批发业主名单',
+  '成人激情小说',
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+  '会上床会收费',
+  '销售防身武器',
+  '财务代理公司',
+  '和你妈一起搞',
+  '提供专科学历',
+  '销售左美沙芬',
+  '出售学历文凭',
+  'weixin',
+  '帮忙复仇QQ',
+  '出售黄绿牙签',
+  '销售广州三箭',
+  '真钱棋牌网站',
+  'cocain',
+  '六一○办公室',
+  '提供黄白牙签',
+  '专业投票服务',
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+  '不日麻屁为耻',
+  '提供半圆刮刀',
+  '批发爪刀手刺',
+  '直销三箭配件',
+  '真人二十一点',
+  '出售三箭配件',
+  '办教师资格证',
+  'fasces',
+  '任意号码变号',
+  '提供中考答案',
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+  '手机变号平台',
+  '股市如此多娇',
+  '610的邪恶',
+  '卖黄体酮手机',
+  '提供三棱尖刺',
+  '宋朝完美生活',
+  'QQ供应钻石',
+  '直销三棱尖刺',
+  '提供大斩马刀',
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+  '消除诽谤信息',
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+  '西安办证公司',
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+  '五羰基铁批发',
+  '混蛋神风流史',
+  'taobao',
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+  'Heroin',
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+  'jj满是伤痕',
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+  '销售钢珠猎狗',
+  '出售广州三箭',
+  '诽谤帖子清理',
+  '订购三箭配件',
+  '批发美化面具',
+  '提供广州三箭',
+  '专卖pcp新贵',
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+  '三箭配件订购',
+  '自焚还是骗局',
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+  '万能锁出售',
+  '专业找人讨债',
+  '网上真人梭哈',
+  '在线真人娱乐',
+  '替人出气报复',
+  '专卖战术折刀',
+  '出售原装秃鹰',
+  '购买易容面具',
+  '考试用耳机qq',
+  '供应战术折刀',
+  '转让手拉短狗',
+  '出售秃鹰套件',
+  '自制鞭炮批发',
+  '秃鹰专卖qq',
+  '批发战术折刀',
+  '订购秃鹰配件',
+  '出售车主档案',
+  '职业帮人打架',
+  '替人报仇价格',
+  '订购原装秃鹰',
+  '考试设备qq',
+  '专卖蜘蛛刀',
+  '出售冰砖',
+  '高考作弊专用耳机',
+  '批发秃鹰配件',
+  '兜售沙漠之鹰',
+  '2012高考高生资料出售',
+  '出售手拉狗',
+  '高仿真易容面具订制',
+  '黄白牙签专卖',
+  '秃鹰支付宝',
+  '代人复仇qq',
+  '专业帮忙报仇',
+  '购买沙漠之鹰',
+  '出售甩刀',
+  '供应pcp秃鹰套件',
+  '秃鹰套件图纸',
+  '仿真汽短狗qq',
+  '秃鹰结构图纸',
+  '卖胆',
+  '提供隐形作弊耳机',
+  '进口美秃',
+  '出售pcp秃鹰',
+  '秃鹰组装图纸',
+  '出售秃鹰图纸',
+  '黑市肾脏',
+  '黑市器官',
+  '伪钞送货',
+  '批发蝴蝶甩刀',
+  '进口原装美秃',
+  '明星情爱曝光',
+  '出售长刀',
+  '专业帮忙复仇',
+  '供应肾qq',
+  '高考成绩修改',
+  '仿真面具供应',
+  '高纯度牙签订购',
+  '军用阻击弩',
+  '汽车解码仪器',
+  '麻因出售',
+  '高纯度冰砖',
+  '肝源供求',
+  '专卖钢珠狗',
+  '寻肝源',
+  '职业帮忙复仇',
+  '虎头牌猎狗专卖',
+  '氰化银钾供应',
+  '出售进口pcp',
+  '出售手压短狗',
+  '批量出售鞭炮',
+  '高仿人皮',
+  '高仿枪专卖店',
+  '专业高仿真人面具',
+  '供应蝴蝶甩刀',
+  '强开工具专卖',
+  '卖角膜qq',
+  '真实有效文凭',
+  '专业提供国内外女郎',
+  '老挝国营赌场',
+  '网上真钱骰宝',
+  '精品直刀系列',
+  '出售沙漠之鹰',
+  '定做人造脸皮',
+  '1元假硬币',
+  '出售进口硅胶面皮',
+  '批发易容面皮',
+  '出售高仿脸皮',
+  '出售缅果',
+  '批发仿真脸皮',
+  '专业帮人清债',
+  '高压狗qq',
+  '出售仿真脸皮',
+  '出售硅胶脸皮',
+  '帮人专业勒索',
+  '代购007间谍免费版',
+  '提供FX气皇',
+  '出售硅胶面皮',
+  '批发进口硅胶脸皮',
+  '出售人造面皮',
+  '肝源中介',
+  '代购007间谍免费试用',
+  '代购潜伏者破解版',
+  '出售进口硅胶脸皮',
+  '专业帮人复仇',
+  '定做人造面皮',
+  '出售仿真面皮',
+  '出售FX气皇',
+  '代购007间谍破解版',
+  '批发进口硅胶面皮',
+  '批发高仿脸皮',
+  '批发人造脸皮',
+  '代购潜伏者免费版',
+  '供应FX气皇',
+  '出售易容面皮',
+  '出售高仿面皮',
+  '出售仿真面具',
+  '代购007间谍改良版',
+  '代购007间谍增强版',
+  '007间谍增强版',
+  '出售人造脸皮',
+  'FX气皇出售',
+  '代购潜伏者增强版',
+  '出售007间谍破解版',
+  '007间谍专业版',
+  '批发007间谍增强版',
+  '出售007间谍增强版',
+  '出售易容脸皮',
+  '出售散弹狗',
+  '代购潜伏者改良版',
+  '潜伏者免费版',
+  '007间谍改良版',
+  '批发潜伏者增强版',
+  '出售潜伏者增强版',
+  '出售潜伏者专业版',
+  '专业帮人砍人',
+  '批发仿真面皮',
+  '批发高仿真脸皮',
+  '出售007间谍专业版',
+  '专业帮人毁容',
+  '出售伪币',
+  '代购潜伏者专业版',
+  '批发潜伏者改良版',
+  '专业雇人复仇',
+  '专业雇人打架',
+  '高压狗出售',
+  '专业替人打架',
+  '专业替人追债',
+  '批发精仿蝴蝶甩刀',
+  '代购007间谍专业版',
+  '批发潜伏者专业版',
+  '专业替人勒索',
+  '进口秃鹰专卖网',
+  '神仙糖出货',
+  '出售007间谍改良版',
+  '出售汽车屏蔽器',
+  '专业替人砍人',
+  '专业帮人了仇',
+  '出售战术折刀',
+  '批发一元假硬币',
+  '出售短狗',
+  '007间谍破解版',
+  '潜伏者破解版',
+  '出售潜伏者改良版',
+  '专业雇人报仇',
+  '神仙糖配方',
+  '专业帮人追债',
+  '网络赌场',
+  '专业替人毁容',
+  '专业替人清债',
+  '专业制造意外消失',
+  '出售蝴蝶甩刀',
+  '肝源',
+  '出售秃鹰皮碗',
+  '专业替人复仇',
+  '黄麻素出售',
+  '出售一元假硬币',
+  '黄麻素供应',
+  '专业替人报复',
+  '专业帮人报复',
+  '制造意外消失',
+  '专业替人了仇',
+  '真钱梭哈',
+  '伪币出售',
+  '出售火狗',
+  '出售各式热兵器',
+  '高仿',
+  '齐安安',
+  '黎城面',
+  '代攷',
+  '黑彩',
+  '骰宝赌小',
+  '真实赌场',
+  '彭德懐',
+  '吉沢明歩',
+  '譪件',
+  '正丁腈',
+]
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diff --git a/AgentVerseWeb/src/assets/images/playground/agentverse-main-logo.png b/AgentVerseWeb/src/assets/images/playground/agentverse-main-logo.png
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diff --git a/AgentVerseWeb/src/assets/images/playground/agentverse-name-logo.png b/AgentVerseWeb/src/assets/images/playground/agentverse-name-logo.png
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diff --git a/AgentVerseWeb/src/assets/images/playground/bad.svg b/AgentVerseWeb/src/assets/images/playground/bad.svg
new file mode 100644
index 000000000..39bd4efaf
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/bad.svg
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+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="13px" height="13px" viewBox="0 0 13 13" version="1.1" xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>赞备份</title>
+    <g id="API平台" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-13" transform="translate(-1235.000000, -473.000000)" fill-rule="nonzero">
+            <g id="编组-2" transform="translate(1196.000000, 464.000000)">
+                <g id="赞备份"
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+                    <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="13" height="13"></rect>
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+                        id="形状" fill="#777E91"></path>
+                </g>
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diff --git a/AgentVerseWeb/src/assets/images/playground/chat.svg b/AgentVerseWeb/src/assets/images/playground/chat.svg
new file mode 100644
index 000000000..d283f7170
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/chat.svg
@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="16px" height="16px" viewBox="0 0 16 16" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>对话</title>
+    <g id="API平台" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-13" transform="translate(-500.000000, -88.000000)" fill-rule="nonzero">
+            <g id="编组-7" transform="translate(500.000000, 84.000000)">
+                <g id="对话" transform="translate(0.000000, 4.000000)">
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+            </g>
+        </g>
+    </g>
+</svg>
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diff --git a/AgentVerseWeb/src/assets/images/playground/chatP.svg b/AgentVerseWeb/src/assets/images/playground/chatP.svg
new file mode 100644
index 000000000..1e5a9d42a
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/chatP.svg
@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="16px" height="16px" viewBox="0 0 16 16" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>气泡</title>
+    <g id="页面-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="结果页备份-14" transform="translate(-24.000000, -216.000000)" fill-rule="nonzero">
+            <g id="编组" transform="translate(24.000000, 214.000000)">
+                <g id="气泡" transform="translate(0.000000, 2.000000)">
+                    <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="16" height="16"></rect>
+                    <path d="M8.48007681,16 L2,16 C0.8954305,16 4.50191728e-16,15.1045695 0,14 L0,7.30359712 L0,7.30359712 C0,7.2882494 0,7.27290168 0.00192030725,7.25947242 C0.184349496,5.28345324 1.09649544,3.45131894 2.57321171,2.10263789 C4.05760922,0.746282974 5.98175708,0 7.99231877,0 C12.4071051,0 16,3.58944844 16,8 C16,12.164988 12.7815651,15.6393285 8.64522324,15.971223 C8.59337494,15.9904077 8.53768603,16 8.48007681,16 Z M2.39999998,15 L8.33789143,15 L8.33789143,15 C8.36852181,14.9923518 8.40106659,14.9866157 8.43361138,14.9847036 C12.1150007,14.7552581 15,11.6883365 15,8 C15,4.13957935 11.8565568,1 7.9913852,1 C6.23205251,1 4.54738138,1.65391969 3.24750444,2.83938815 C1.96102831,4.01529637 1.16272392,5.60994264 1,7.32887189 L1,13.6 C1,14.3731987 1.62680134,15 2.39999998,15 Z M5,7 C4.44736842,7 4,7.44736842 4,8 C4,8.55263158 4.44736842,9 5,9 C5.55263158,9 6,8.55263158 6,8 C5.99824561,7.44736842 5.55087719,7 5,7 Z M7,8 C7,8.55228475 7.44771525,9 8,9 C8.55228475,9 9,8.55228475 9,8 C9,7.44771525 8.55228475,7 8,7 C7.44771525,7 7,7.44771525 7,8 Z M10,8 C10,8.55228475 10.4477153,9 11,9 C11.5522847,9 12,8.55228475 12,8 C12,7.44771525 11.5522847,7 11,7 C10.4477153,7 10,7.44771525 10,8 Z" id="形状" fill="#A4A9B6"></path>
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+            </g>
+        </g>
+    </g>
+</svg>
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diff --git a/AgentVerseWeb/src/assets/images/playground/clear.svg b/AgentVerseWeb/src/assets/images/playground/clear.svg
new file mode 100644
index 000000000..3f5722412
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/clear.svg
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+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="16px" height="14px" viewBox="0 0 16 14" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>清除</title>
+    <g id="页面-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-2" transform="translate(-1230.000000, -721.000000)" fill-rule="nonzero">
+            <g id="清除" transform="translate(1230.000000, 721.000000)">
+                <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="16" height="13.721943"></rect>
+                <path d="M15.5413199,4.95272362 L11.1009447,0.512348409 C10.789346,0.185175863 10.3572744,4.69001296e-06 9.90546064,4.69001296e-06 C9.45364691,4.69001296e-06 9.02157527,0.185175863 8.70997655,0.512348409 L0.512348409,8.5961139 C0.185175863,8.90771263 4.69001296e-06,9.33978427 4.69001296e-06,9.79159799 C4.69001296e-06,10.2434117 0.185175863,10.6754834 0.512348409,10.9870821 L2.78946734,13.264201 C3.12803918,13.5793441 3.5799589,13.7436794 4.04187605,13.7196248 L13.6057755,13.7196248 C13.9201801,13.7196248 14.1750553,13.4647496 14.1750553,13.1503451 C14.1750553,12.8359405 13.9201801,12.5810653 13.6057755,12.5810653 L9.96238526,12.5810653 L15.4274707,7.34370519 C15.7699661,7.04798066 15.9760666,6.62463838 15.9975885,6.17265067 C16.0191104,5.72066296 15.854167,5.279653 15.5413199,4.95272362 Z M8.48227806,12.5810653 C8.39140629,12.6685708 8.26590459,12.7104064 8.14070352,12.694928 L4.04187605,12.694928 C3.9280268,12.694928 3.70031491,12.5810653 3.58646566,12.5810653 L1.30934673,10.3039464 C1.20041552,10.2000116 1.13878057,10.0560144 1.13878057,9.90545394 C1.13878057,9.75489351 1.20041552,9.61089623 1.30934673,9.50696147 L4.15573869,6.66056951 L9.27924958,11.7840804 L8.48227806,12.5810653 Z M14.6304858,6.54670687 L10.0762479,10.8732328 L4.95273702,5.74972194 L9.39311223,1.30934673 C9.64656234,1.1954321 9.93664704,1.1954321 10.1900972,1.30934673 L14.744335,5.74972194 C14.9720469,5.97743384 14.9720469,6.31899497 14.6304724,6.54670687 L14.6304858,6.54670687 Z" id="形状" fill="#777E91"></path>
+            </g>
+        </g>
+    </g>
+</svg>
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diff --git a/AgentVerseWeb/src/assets/images/playground/copy.svg b/AgentVerseWeb/src/assets/images/playground/copy.svg
new file mode 100644
index 000000000..4d906115c
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/copy.svg
@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="16px" height="16px" viewBox="0 0 16 16" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>复制</title>
+    <g id="API平台" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-15" transform="translate(-1144.000000, -829.000000)" fill-rule="nonzero">
+            <g id="编组-3" transform="translate(364.000000, 805.000000)">
+                <g id="复制,重复,重叠" transform="translate(780.000000, 24.000000)">
+                    <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="16" height="16"></rect>
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+                </g>
+            </g>
+        </g>
+    </g>
+</svg>
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diff --git a/AgentVerseWeb/src/assets/images/playground/delete.svg b/AgentVerseWeb/src/assets/images/playground/delete.svg
new file mode 100644
index 000000000..3f530d44f
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+++ b/AgentVerseWeb/src/assets/images/playground/delete.svg
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+<svg width="16px" height="16px" viewBox="0 0 16 16" version="1.1" xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink">
+    <g id="AgentVerse" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="用下一页备份-7" transform="translate(-188.000000, -219.000000)" fill-rule="nonzero">
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+        </g>
+    </g>
+</svg>
diff --git a/AgentVerseWeb/src/assets/images/playground/edit.svg b/AgentVerseWeb/src/assets/images/playground/edit.svg
new file mode 100644
index 000000000..1daec8a90
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/edit.svg
@@ -0,0 +1,20 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="14px" height="14px" viewBox="0 0 14 14" version="1.1" xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>重命名</title>
+    <g id="页面-3" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-13" transform="translate(-1298.000000, -429.000000)" fill-rule="nonzero">
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+                    <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="12.8" height="12.8"></rect>
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+                        id="路径" fill="#777E91"></path>
+                    <polygon id="路径" fill="#777E91"
+                        points="11.2457125 2.011425 10.6057125 1.371425 3.6571375 8.32 4.2971375 8.96 11.2457125 2.011425">
+                    </polygon>
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+        </g>
+    </g>
+</svg>
diff --git a/AgentVerseWeb/src/assets/images/playground/example.svg b/AgentVerseWeb/src/assets/images/playground/example.svg
new file mode 100644
index 000000000..44227673d
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/example.svg
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+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="20px" height="20px" viewBox="0 0 20 20" version="1.1" xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink">
+    <g id="页面-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="默认备份" transform="translate(-372.000000, -302.000000)" fill-rule="nonzero">
+            <g id="编组备份-5" transform="translate(350.000000, 272.000000)">
+                <g id="测试用例子集" transform="translate(22.000000, 30.000000)">
+                    <rect id="矩形" fill="#1C2848" opacity="0" x="0" y="0" width="20" height="20"></rect>
+                    <path
+                        d="M5.0909056,1.6666607 L14.9090944,1.6666607 C15.4000038,1.6666607 15.7272832,1.33334028 15.7272832,0.833340115 C15.7272832,0.333339952 15.4000038,0 14.9090944,0 L5.0909056,0 C4.59999616,0 4.27271681,0.333339952 4.27271681,0.833340115 C4.27271681,1.33334028 4.59999616,1.6666607 5.0909056,1.6666607 Z M17.3636416,6.66666233 L2.63635841,6.66666233 C1.65453953,6.66666233 1,7.33334223 1,8.33334256 L1,18.3333458 C1,19.3333461 1.65453953,20.0000065 2.63635841,20.0000065 L17.3636416,20.0000065 C18.3454605,20.0000065 19,19.3333461 19,18.3333458 L19,8.33334256 C19,7.33334223 18.3454605,6.66666233 17.3636416,6.66666233 Z M17.3636416,18.3333426 L2.63635841,18.3333426 L2.63635841,8.33334256 L17.3636416,8.33334256 L17.3636416,18.3333426 Z M3.4545472,5.00000163 L16.5454528,5.00000163 C17.0363622,5.00000163 17.3636416,4.66666168 17.3636416,4.16666151 C17.3636416,3.66666135 17.0363622,3.33334093 16.5454528,3.33334093 L3.4545472,3.33334093 C2.96363776,3.33334093 2.63635841,3.66666135 2.63635841,4.16666151 C2.63635841,4.66666168 2.96363776,5.00000163 3.4545472,5.00000163 Z"
+                        id="形状" fill="#1C2848"></path>
+                </g>
+            </g>
+        </g>
+    </g>
+</svg>
diff --git a/AgentVerseWeb/src/assets/images/playground/extend.svg b/AgentVerseWeb/src/assets/images/playground/extend.svg
new file mode 100644
index 000000000..84729ee0b
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/extend.svg
@@ -0,0 +1,21 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="16px" height="16px" viewBox="0 0 16 16" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>全屏</title>
+    <g id="页面-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="结果页备份-14" transform="translate(-1334.000000, -243.000000)" fill-rule="nonzero">
+            <g id="编组-9" transform="translate(620.000000, 190.000000)">
+                <g id="编组-4备份" transform="translate(0.000000, 36.000000)">
+                    <g id="div.rhHpqJcg" transform="translate(20.000000, 12.000000)">
+                        <g id="全屏" transform="translate(694.000000, 5.000000)">
+                            <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="16" height="16"></rect>
+                            <path d="M14.6666719,2 L10,2 C9.63332812,2 9.33332812,1.7 9.33332812,1.33332812 C9.33332812,0.96665625 9.63332812,0.666671875 10,0.666671875 L14.6666719,0.666671875 C15.0333281,0.666671875 15.3333281,0.966671875 15.3333281,1.33332812 C15.3333281,1.69998437 15.0333281,2 14.6666719,2 M6,2 L1.33332812,2 C0.966671875,2 0.666671875,1.7 0.666671875,1.33332812 C0.666671875,0.96665625 0.966671875,0.666671875 1.33332812,0.666671875 L6,0.666671875 C6.36667187,0.666671875 6.66667187,0.966671875 6.66667187,1.33332812 C6.66667187,1.69998437 6.36667187,2 6,2" id="形状" fill="#515152"></path>
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+                        </g>
+                    </g>
+                </g>
+            </g>
+        </g>
+    </g>
+</svg>
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diff --git a/AgentVerseWeb/src/assets/images/playground/eyes.svg b/AgentVerseWeb/src/assets/images/playground/eyes.svg
new file mode 100644
index 000000000..32b652fe2
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/eyes.svg
@@ -0,0 +1,18 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="20px" height="20px" viewBox="0 0 20 20" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>眼睛</title>
+    <g id="页面-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="结果页备份-14" transform="translate(-1332.000000, -841.000000)" fill-rule="nonzero">
+            <g id="编组-9" transform="translate(620.000000, 190.000000)">
+                <g id="编组-4备份-2" transform="translate(0.000000, 132.000000)">
+                    <g id="编组-5备份-3" transform="translate(0.000000, 282.000000)">
+                        <g id="眼睛" transform="translate(712.000000, 237.000000)">
+                            <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="20" height="20"></rect>
+                            <path d="M10,16.25 C6.944375,16.25 4.21833984,14.3216797 1.82792969,10.5545898 C1.6128397,10.2161457 1.6128397,9.78385434 1.82792969,9.44541016 C4.21832031,5.67833984 6.94435547,3.75 10,3.75 C13.055625,3.75 15.7816602,5.67832031 18.1720703,9.44541016 C18.3871603,9.78385434 18.3871603,10.2161457 18.1720703,10.5545898 C15.7816797,14.3216602 13.0556445,16.25 10,16.25 Z M10,5 C7.47041016,5 5.12771484,6.63769531 2.96646484,10 C5.12771484,13.3623047 7.47041016,15 10,15 C12.5295898,15 14.8722852,13.3623047 17.0335352,10 C14.8722852,6.63769531 12.5295898,5 10,5 Z M10,12.9166602 C8.37480469,12.9166602 7.05728516,11.6108398 7.05728516,10 C7.05728516,8.38916016 8.37480469,7.08333984 10,7.08333984 C11.6251953,7.08333984 12.9427148,8.38916016 12.9427148,10 C12.9427148,11.6108398 11.6251953,12.9166602 10,12.9166602 L10,12.9166602 Z M10,11.6666602 C10.92875,11.6666602 11.6816602,10.9204102 11.6816602,10 C11.6816602,9.07958984 10.92875,8.33333984 10,8.33333984 C9.07125,8.33333984 8.31833984,9.07958984 8.31833984,10 C8.31833984,10.9204102 9.07125,11.6666602 10,11.6666602 L10,11.6666602 Z" id="形状" fill="#515152"></path>
+                        </g>
+                    </g>
+                </g>
+            </g>
+        </g>
+    </g>
+</svg>
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diff --git a/AgentVerseWeb/src/assets/images/playground/feature.png b/AgentVerseWeb/src/assets/images/playground/feature.png
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diff --git a/AgentVerseWeb/src/assets/images/playground/feature.svg b/AgentVerseWeb/src/assets/images/playground/feature.svg
new file mode 100644
index 000000000..312086e22
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+++ b/AgentVerseWeb/src/assets/images/playground/feature.svg
@@ -0,0 +1,15 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="32px" height="32px" viewBox="0 0 32 32" version="1.1" xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>批量更新</title>
+    <g id="API平台" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-11" transform="translate(-1134.000000, -124.000000)" fill-rule="nonzero">
+            <g id="批量更新" transform="translate(1134.000000, 124.000000)">
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new file mode 100644
index 000000000..31149fb76
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diff --git a/AgentVerseWeb/src/assets/images/playground/icon_reset.svg b/AgentVerseWeb/src/assets/images/playground/icon_reset.svg
new file mode 100644
index 000000000..5a72bf355
--- /dev/null
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diff --git a/AgentVerseWeb/src/assets/images/playground/indent.svg b/AgentVerseWeb/src/assets/images/playground/indent.svg
new file mode 100644
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diff --git a/AgentVerseWeb/src/assets/images/playground/lighting.svg b/AgentVerseWeb/src/assets/images/playground/lighting.svg
new file mode 100644
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diff --git a/AgentVerseWeb/src/assets/images/playground/logo-small.svg b/AgentVerseWeb/src/assets/images/playground/logo-small.svg
new file mode 100644
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diff --git a/AgentVerseWeb/src/assets/images/playground/logo-title.svg b/AgentVerseWeb/src/assets/images/playground/logo-title.svg
new file mode 100644
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new file mode 100644
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+                </g>
+            </g>
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+    </g>
+</svg>
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diff --git a/AgentVerseWeb/src/assets/images/playground/send.svg b/AgentVerseWeb/src/assets/images/playground/send.svg
new file mode 100644
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+++ b/AgentVerseWeb/src/assets/images/playground/send.svg
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new file mode 100644
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+++ b/AgentVerseWeb/src/assets/images/playground/sheet.svg
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+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="20px" height="20px" viewBox="0 0 20 20" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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+                <path d="M6,0 L6,20 L6,0 Z" id="矩形备份-9"></path>
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+        </g>
+    </g>
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diff --git a/AgentVerseWeb/src/assets/images/playground/structure.svg b/AgentVerseWeb/src/assets/images/playground/structure.svg
new file mode 100644
index 000000000..42f8a595e
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/structure.svg
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+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="24px" height="24px" viewBox="0 0 24 24" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>组织结构</title>
+    <g id="AgentVerse" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-22" transform="translate(-719.000000, -348.000000)" fill-rule="nonzero">
+            <g id="组织结构" transform="translate(719.000000, 348.000000)">
+                <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="24" height="24"></rect>
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+            </g>
+        </g>
+    </g>
+</svg>
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diff --git a/AgentVerseWeb/src/assets/images/playground/study.svg b/AgentVerseWeb/src/assets/images/playground/study.svg
new file mode 100644
index 000000000..1570dc4ee
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+++ b/AgentVerseWeb/src/assets/images/playground/study.svg
@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="24px" height="24px" viewBox="0 0 24 24" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>study</title>
+    <g id="AgentVerse" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-22" transform="translate(-1029.000000, -348.000000)" fill-rule="nonzero">
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+        </g>
+    </g>
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diff --git a/AgentVerseWeb/src/assets/images/playground/tabLoading.svg b/AgentVerseWeb/src/assets/images/playground/tabLoading.svg
new file mode 100644
index 000000000..3f974eb0d
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+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="16px" height="16px" viewBox="0 0 16 16" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
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diff --git a/AgentVerseWeb/src/assets/images/playground/time.svg b/AgentVerseWeb/src/assets/images/playground/time.svg
new file mode 100644
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new file mode 100644
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new file mode 100644
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@@ -0,0 +1,14 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="14px" height="14px" viewBox="0 0 14 14" version="1.1" xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink">
+    <g id="AgentVerse" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="用下一页备份-6" transform="translate(-572.000000, -414.000000)" fill-rule="nonzero">
+            <g id="注意" transform="translate(572.000000, 414.000000)">
+                <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="14" height="14"></rect>
+                <path
+                    d="M7,14 C3.14042969,14 0,10.8601172 0,7 C0,3.1404707 3.14042969,0 7,0 C10.8600898,0 14,3.13991016 14,7 C14,10.8601172 10.8600898,14 7,14 Z M7,1.00444531 C3.69388086,1.00444531 1.00443164,3.69388086 1.00443164,7.00001367 C1.00443164,10.305668 3.69388086,12.9955684 6.99998633,12.9955684 C10.3056543,12.9955684 12.9955684,10.3061191 12.9955684,7.00001367 C12.9955684,3.69388086 10.3056543,1.00444531 6.99998633,1.00444531 L7,1.00444531 Z M6.24667969,3.73556641 C6.24667969,3.53832227 6.32784961,3.34230859 6.46731641,3.20289648 C6.60679687,3.06344336 6.80274219,2.98219141 6.99998633,2.98219141 C7.19725781,2.98219141 7.39318945,3.06342969 7.53268359,3.20289648 C7.67213672,3.34230859 7.75330664,3.53832227 7.75330664,3.73556641 C7.75330664,3.93275586 7.67215039,4.12876953 7.53268359,4.26826367 C7.39320312,4.4077168 7.19725781,4.48888672 6.99998633,4.48888672 C6.80274219,4.48888672 6.60679687,4.40773047 6.46733008,4.26826367 C6.32784961,4.12876953 6.24667969,3.93275586 6.24667969,3.73556641 L6.24667969,3.73556641 Z M7,11.0178223 C6.72273437,11.0178223 6.49775,10.7932754 6.49775,10.5155586 L6.49775,5.99558203 C6.49775,5.71831641 6.72274805,5.49331836 6.99998633,5.49331836 C7.27725195,5.49331836 7.50225,5.71831641 7.50225,5.99558203 L7.50225,10.5155586 C7.50225,10.7932754 7.27725195,11.0178223 6.99998633,11.0178223 L7,11.0178223 Z"
+                    id="形状" fill="#DBDDE2"></path>
+            </g>
+        </g>
+    </g>
+</svg>
diff --git a/AgentVerseWeb/src/assets/images/playground/warning.svg b/AgentVerseWeb/src/assets/images/playground/warning.svg
new file mode 100644
index 000000000..3c3a22a7b
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/playground/warning.svg
@@ -0,0 +1,11 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="14px" height="14px" viewBox="0 0 14 14" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>Shape</title>
+    <g id="页面-1" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-6" transform="translate(-616.000000, -619.000000)" fill="#FF8E5B" fill-rule="nonzero">
+            <g id="编组-9" transform="translate(596.000000, 608.000000)">
+                <path d="M27,11 C23.1335937,11 20,14.1335937 20,18 C20,21.8664062 23.1335937,25 27,25 C30.8664062,25 34,21.8664062 34,18 C34,14.1335938 30.8664062,11 27,11 Z M27,22.3613281 C26.7279297,22.3613281 26.5078125,22.1412109 26.5078125,21.8691406 C26.5078125,21.5970703 26.7279297,21.3769531 27,21.3769531 C27.2720703,21.3769531 27.4921875,21.5970703 27.4921875,21.8691406 C27.4921875,22.1412109 27.2720703,22.3613281 27,22.3613281 Z M27.4921875,20.0644531 C27.4921875,20.3351562 27.2707031,20.5566406 27,20.5566406 L27,20.5566406 C26.7292969,20.5566406 26.5078125,20.3351562 26.5078125,20.0644531 L26.5078125,14.1035156 C26.5078125,13.8328125 26.7292969,13.6113281 27,13.6113281 L27,13.6113281 C27.2707031,13.6113281 27.4921875,13.8328125 27.4921875,14.1035156 L27.4921875,20.0644531 Z" id="Shape"></path>
+            </g>
+        </g>
+    </g>
+</svg>
\ No newline at end of file
diff --git a/AgentVerseWeb/src/assets/images/public/copy.svg b/AgentVerseWeb/src/assets/images/public/copy.svg
new file mode 100644
index 000000000..d79e211c2
--- /dev/null
+++ b/AgentVerseWeb/src/assets/images/public/copy.svg
@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<svg width="13px" height="12px" viewBox="0 0 13 12" version="1.1" xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink">
+    <title>复制,重复,重叠</title>
+    <g id="API平台" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+        <g id="首页备份-13" transform="translate(-1272.000000, -474.000000)" fill-rule="nonzero">
+            <g id="编组-2" transform="translate(1196.000000, 464.000000)">
+                <g id="复制,重复,重叠" transform="translate(76.800000, 10.000000)">
+                    <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="12" height="12"></rect>
+                    <path
+                        d="M9.75,2.0625 L9.75,0.75 C9.75,0.336328125 9.41367187,0 9,0 L0.75,0 C0.336328125,0 0,0.336328125 0,0.75 L0,9 C0,9.41367187 0.336328125,9.75 0.75,9.75 L2.0625,9.75 C2.165625,9.75 2.25,9.834375 2.25,9.9375 L2.25,11.25 C2.25,11.6636719 2.58632812,12 3,12 L11.25,12 C11.6636719,12 12,11.6636719 12,11.25 L12,3 C12,2.58632812 11.6636719,2.25 11.25,2.25 L9.9375,2.25 C9.834375,2.25 9.75,2.165625 9.75,2.0625 Z M2.0625,9 L0.9375,9 C0.834375,9 0.75,8.915625 0.75,8.8125 L0.75,0.9375 C0.75,0.834375 0.834375,0.75 0.9375,0.75 L8.8125,0.75 C8.915625,0.75 9,0.834375 9,0.9375 L9,2.0625 C9,2.165625 8.915625,2.25 8.8125,2.25 L3,2.25 C2.58632812,2.25 2.25,2.58632812 2.25,3 L2.25,8.8125 C2.25,8.915625 2.165625,9 2.0625,9 Z M11.0625,11.25 L3.1875,11.25 C3.084375,11.25 3,11.165625 3,11.0625 L3,3.1875 C3,3.084375 3.084375,3 3.1875,3 L11.0625,3 C11.165625,3 11.25,3.084375 11.25,3.1875 L11.25,11.0625 C11.25,11.165625 11.165625,11.25 11.0625,11.25 Z"
+                        id="形状" fill="#ffffff"></path>
+                </g>
+            </g>
+        </g>
+    </g>
+</svg>
diff --git a/AgentVerseWeb/src/assets/images/public/logo.png b/AgentVerseWeb/src/assets/images/public/logo.png
new file mode 100644
index 000000000..9478d23db
Binary files /dev/null and b/AgentVerseWeb/src/assets/images/public/logo.png differ
diff --git a/AgentVerseWeb/src/components/Business/Feedback/index.vue b/AgentVerseWeb/src/components/Business/Feedback/index.vue
new file mode 100644
index 000000000..d9591ce20
--- /dev/null
+++ b/AgentVerseWeb/src/components/Business/Feedback/index.vue
@@ -0,0 +1,250 @@
+<template>
+  <section class="feedback flex-row flex-center">
+    <i class="copy-icon flex-row flex-center" title="复制" @click="copy">
+      <IconCopy />
+    </i>
+    <i class="flex-row flex-center" title="赞" :class="{ active: data.rating === 'THUMBS_UP' }"
+      @click="evaluate('THUMBS_UP')">
+      <IconGood />
+    </i>
+    <el-popover ref="feedbackRef" placement="bottom-end" trigger="click" popper-class="bad-tip-popover" width="100%"
+      @blur="isShowFeedback = false">
+      <template #reference>
+        <i class="flex-row flex-center" title="踩" :class="{ active: data.rating === 'THUMBS_NO' && data.feedbackMsg }"
+          @click="isShowFeedback = !isShowFeedback">
+          <IconBad />
+        </i>
+      </template>
+
+      <div class="bad-tip flex-column">
+        <div class="title flex-row">
+          <span>💡您的反馈将帮助AgentVerse优化进步</span>
+        </div>
+        <div v-for="({ title, tip }, index) in tipList" :key="index">
+          <div class="tip-item-title">{{ title }}</div>
+          <div class="tip-item flex-row">
+            <span v-for="(item, idx) in tip" :key="idx" class="content"
+              :class="{ active: feedbackForm.activeOptions.includes(item) }" @click="changeTag(item)">
+              {{ item }}
+            </span>
+          </div>
+        </div>
+
+        <div class="other-input flex-row">
+          <el-input v-model="feedbackForm.text" placeholder="其他问题" />
+          <button class="button" @click="submitFeedback">提交反馈</button>
+        </div>
+      </div>
+    </el-popover>
+  </section>
+</template>
+
+<script setup lang="ts">
+import ClipboardJS from 'clipboard'
+import { ElMessage, FormInstance, FormRules } from 'element-plus'
+import { feedbackRating } from '/#/talk-type'
+
+const emits = defineEmits<{ (e: 'evaluateSuccess', data: { rating: feedbackRating; feedbackMsg: string; messageId: string }): void }>()
+
+const props = withDefaults(
+  defineProps<{
+    data: {
+      content: string
+      msgID: string
+      role: 'AI' | 'USER'
+      conversationId: string
+      feedbackMsg: string
+      rating: string
+    }
+  }>(),
+  {}
+)
+const { data } = toRefs(props)
+
+const feedbackRef = ref()
+const isShowFeedback = ref(false)
+const feedbackForm = reactive<{ text: string; activeOptions: string[] }>({ text: '', activeOptions: [] })
+
+watchEffect(() => {
+  if (data.value.feedbackMsg) {
+    const msgSplit = data.value.feedbackMsg.split(';')
+    feedbackForm.text = msgSplit[1]
+    feedbackForm.activeOptions = msgSplit[0].split('|')
+  } else {
+    feedbackForm.text = ''
+    feedbackForm.activeOptions = []
+  }
+})
+
+const tipList = reactive([
+  {
+    title: '题目理解问题',
+    tip: ['文不对题', '提出的要求未完全覆盖', '无法根据指令调整', '上下文理解有误', '存在其他不符合预期的情况'],
+  },
+  {
+    title: '回复问题',
+    tip: ['存在事实性问题', '存在逻辑推理问题', '多条回复相似重复', '回复不够简练或核心点不突出', '排版问题', '内容不够专业'],
+  },
+  { title: '公序良俗问题', tip: ['存在违法信息', '存在偏见和歧视内容', '其他价值观问题'] },
+])
+
+const changeTag = (id: string) => {
+  if (feedbackForm.activeOptions.includes(id)) {
+    feedbackForm.activeOptions = feedbackForm.activeOptions.filter((item) => item !== id)
+  } else {
+    feedbackForm.activeOptions.push(id)
+  }
+}
+
+const submitFeedback = () => {
+  if (feedbackForm.activeOptions[0] || feedbackForm.text) {
+    evaluate('THUMBS_NO', `${feedbackForm.activeOptions.join('|')};${feedbackForm.text}`)
+  } else {
+    ElMessage({
+      type: 'warning',
+      message: 'Please select or enter your feedback'
+    })
+  }
+}
+
+const route = useRoute()
+const evaluate = async (rating: feedbackRating, text: string = '') => {
+  const res = await useFeedbackRequest({
+    messageId: data.value.msgID,
+    feedbackMsg: text,
+    rating,
+    conversationId: (route.query.id as string) || data.value.conversationId,
+  })
+
+  if (res?.code === 0) {
+    ElMessage({ type: 'success', message: 'Thank you for your feedback' })
+    feedbackRef.value.hide()
+    emits('evaluateSuccess', { rating, feedbackMsg: text, messageId: data.value.msgID })
+  } else {
+    ElMessage({ type: 'error', message: res?.message || 'Something went wrong' })
+  }
+}
+const copy = () => {
+  useFeedbackRequest({
+    messageId: data.value.msgID,
+    rating: 'THUMBS_NO',
+    conversationId: (route.query.id as string) || data.value.conversationId,
+    feedbackAction: 'COPY',
+  })
+  const clipboard = new ClipboardJS('.copy-icon', {
+    text: function () {
+      return data.value.content
+    },
+  })
+
+  clipboard.on('success', () => {
+    clipboard.destroy()
+    ElMessage({ type: 'success', message: '复制成功' })
+  })
+}
+</script>
+
+<style scoped lang="scss">
+.feedback {
+  padding: 9px 0 10px;
+
+  gap: 12px;
+
+  i {
+    cursor: pointer;
+  }
+
+  i.active {
+    :deep(svg) {
+
+      path,
+      polygon {
+        fill: #1f2937;
+      }
+    }
+  }
+}
+</style>
+<style lang="scss">
+.el-popover.bad-tip-popover {
+  padding: 16px;
+  background: #ffffff;
+  box-shadow: 0 12px 24px 0 rgba(0, 0, 0, 0.12);
+  border-radius: 8px;
+  max-width: fit-content;
+
+  .bad-tip {
+    width: fit-content;
+
+    .title {
+      font-family: MiSans-Medium;
+      font-size: 16px;
+      color: #1f2937;
+      line-height: 24px;
+      font-weight: 500;
+
+      margin-block-end: 16px;
+    }
+
+    .tip-item-title {
+      font-family: MiSans-Normal;
+      font-size: 14px;
+      color: #777e91;
+      line-height: 20px;
+      margin-block-end: 9px;
+    }
+
+    .tip-item {
+      gap: 8px;
+      flex-wrap: wrap;
+      margin-block-end: 16px;
+
+      .content {
+        user-select: none;
+        cursor: pointer;
+        font-family: MiSans-Normal;
+        font-size: 12px;
+        color: #1c2848;
+        line-height: 20px;
+
+        padding: 6px 10px;
+        background: #ffffff;
+        border: 1px solid #e1e1e1;
+        border-radius: 2px;
+      }
+    }
+
+    .content.active {
+      background: rgba(61, 74, 198, 0.08);
+      border: 1px solid #3d4ac6;
+      color: #3d4ac6;
+    }
+
+    .other-input {
+      white-space: nowrap;
+      gap: 8px;
+
+      .el-input {
+        font-family: MiSans-Normal;
+        font-size: 12px;
+      }
+
+      .button {
+        cursor: pointer;
+        background: #3d4ac6;
+        border-radius: 4px;
+        padding: 8px 16px;
+
+        font-family: MiSans-Regular;
+        font-size: 14px;
+        color: #ffffff;
+        line-height: 24px;
+      }
+
+      button:active {
+        background: #313ca5;
+      }
+    }
+  }
+}
+</style>
diff --git a/AgentVerseWeb/src/components/Business/SwitchChat/index.vue b/AgentVerseWeb/src/components/Business/SwitchChat/index.vue
new file mode 100644
index 000000000..414f41669
--- /dev/null
+++ b/AgentVerseWeb/src/components/Business/SwitchChat/index.vue
@@ -0,0 +1,81 @@
+<template>
+  <div class="switch-box flex-row flex-center">
+    <i :class="{ disabled: index <= 0 }" @click="prev"><icon-ep:arrow-left /></i>
+    <span>{{ index + 1 }} / {{ data.childrenIds?.length }}</span>
+    <i :class="{ disabled: index >= data.childrenIds.length - 1 }" @click="next"><icon-ep:arrow-right /></i>
+  </div>
+</template>
+
+<script setup lang="ts">
+const route = useRoute()
+
+const emits = defineEmits<{
+  (e: 'changeIndex', data: { index: number; lastId: string; currentId: string; conversationId: string }): void
+}>()
+
+const props = withDefaults(
+  defineProps<{
+    data: {
+      msgID: string
+      index: number
+      conversationId: string
+      childrenIds: string[]
+      parentMsgID: string
+    }
+  }>(),
+  {}
+)
+const { data } = toRefs(props)
+
+const index = ref<number>(0)
+
+watchEffect(() => {
+  index.value = data.value.childrenIds?.findIndex((id) => id === data.value.msgID)
+})
+
+const prev = () => {
+  if (index.value <= 0) return
+
+  const idx = index.value - 1
+  const params = {
+    index: idx,
+    lastId: data.value.childrenIds?.[index.value],
+    currentId: data.value.childrenIds?.[idx],
+    conversationId: data.value.conversationId,
+  }
+  index.value = idx
+
+  emits('changeIndex', params)
+}
+const next = () => {
+  if (index.value >= data.value.childrenIds.length - 1) return
+
+  const idx = index.value + 1
+  const params = {
+    index: idx,
+    lastId: data.value.childrenIds?.[index.value],
+    currentId: data.value.childrenIds?.[idx],
+    conversationId: data.value.conversationId,
+  }
+  index.value = idx
+
+  emits('changeIndex', params)
+}
+</script>
+
+<style scoped lang="scss">
+.switch-box {
+  color: #a4a9b6;
+  gap: 4px;
+
+  i:hover {
+    user-select: none;
+    cursor: pointer;
+    color: #000;
+  }
+  i.disabled {
+    cursor: default;
+    color: #a4a9b6;
+  }
+}
+</style>
diff --git a/AgentVerseWeb/src/components/Business/TalkInput/index.vue b/AgentVerseWeb/src/components/Business/TalkInput/index.vue
new file mode 100644
index 000000000..411014cb6
--- /dev/null
+++ b/AgentVerseWeb/src/components/Business/TalkInput/index.vue
@@ -0,0 +1,318 @@
+<template>
+  <div class="talk-input-border flex-row">
+    <div class="flex-column">
+      <div class="talk-input flex-column" :class="{ sensitive: isSensitive, focus: isFocus }"
+        :style="{ '--line-length': input_data.cnt_agents.split('\n')?.length }">
+        <el-input ref="inputRef_cnt_agents" v-model="input_data.cnt_agents" type="textarea" rows="1"
+          placeholder="Please enter your cnt_agents" maxlength="2000" contenteditable :autofocus="isFocus"
+          @focus="isFocus = true" @blur="isFocus = false" @keydown.enter="enterInput" />
+      </div>
+      <div class="divider"></div>
+      <div class="talk-input flex-column" :class="{ sensitive: isSensitive, focus: isFocus }"
+        :style="{ '--line-length': input_data.task_des.split('\n')?.length }">
+        <el-input ref="inputRef_task_des" v-model="input_data.task_des" type="textarea" rows="1"
+          placeholder="Please enter your task_description " maxlength="2000" contenteditable :autofocus="isFocus"
+          @focus="isFocus = true" @blur="isFocus = false" @keydown.enter="enterInput" />
+      </div>
+    </div>
+    <el-button type="primary" color="#3D4AC6" class="send-btn submit"
+      :disabled="isProgress || input_data.task_des.length <= 0" @click="sendMessage">
+      <img alt="" v-show="!isProgress" src="@/assets/images/playground/send.svg" />
+      <LoadingDot v-show="isProgress" />
+    </el-button>
+  </div>
+</template>
+
+<script setup lang="ts">
+import { ElMessage } from 'element-plus';
+
+// TODO: 最多下发10轮对话
+const emits = defineEmits<{ (e: 'sendMessage', data: { task_des: string, cnt_agents: string }): void }>()
+const props = withDefaults(
+  defineProps<{
+    message?: any
+    isProgress?: boolean
+  }>(), {
+  message: {
+    task_des: '',
+    cnt_agents: ''
+  }, isProgress: false
+})
+const { message: outInPut, isProgress } = toRefs(props)
+
+const route = useRoute()
+
+const isSensitive = ref(false)
+const isFocus = ref(false)
+const inputRef_task_des = ref<Nullable<HTMLInputElement>>()
+const inputRef_cnt_agents = ref<Nullable<HTMLInputElement>>(null)
+const input_data = reactive({
+  task_des: '',
+  cnt_agents: '',
+})
+
+watchEffect(() => {
+  console.log("talkinput.vue watchEffect", input_data)
+  // input_data.task_des = outInPut.value.task_des
+  // input_data.cnt_agents = outInPut.value.cnt_agents;
+
+  if (route.query) {
+    inputRef_task_des.value?.focus();
+    inputRef_cnt_agents.value?.focus();
+  }
+  console.log("talkinput.vue watchEffect", input_data)
+});
+
+const historyTalkStore = useHistoryTalkStore()
+const { isRequestingAi } = storeToRefs(historyTalkStore)
+
+const enterInput = (e: any) => {
+  if (e.shiftKey && e.keyCode === 13) {
+    e.stopPropagation()
+    e.preventDefault()
+
+    const startPos = e.target.selectionStart
+    const endPos = e.target.selectionEnd
+    input_data.task_des = input_data.task_des.substring(0, startPos) + '\n' + input_data.task_des.substring(endPos)
+
+    setTimeout(() => {
+      e.target.setSelectionRange(startPos + 1, startPos + 1)
+    })
+
+    setTimeout(() => {
+      const textarea = document.querySelector('.el-textarea__inner') as HTMLElement
+      textarea.scrollTop = textarea.scrollHeight
+    })
+    return
+  }
+
+  if (!e.shiftKey && e.keyCode === 13) {
+    e.preventDefault()
+    const val = input_data.task_des.replace(/\n/g, '')
+    if (val.length > 0) {
+      sendMessage(e)
+    }
+  }
+}
+
+const sendMessage = async ($event: any, val?: any) => {
+  console.log("sendMessage in TalkInput.vue", input_data)
+  if (!(await useCheckAuth())) return
+  if (isProgress.value) return
+
+  if (!/^\d*$/.test(input_data.cnt_agents)) {
+    ElMessage({
+      type: 'error',
+      message: 'cnt_tool_agents must be an integer. Please enter a valid integer value.'
+    });
+    // 清空输入框或进行其他处理
+    inputRef_cnt_agents.value?.focus();
+    return;
+  }
+
+  if (isRequestingAi.value) {
+    ElMessage({
+      type: 'warning',
+      message: `You have a request in progress, 
+          please wait for the request to complete and try again.`
+    });
+    return
+  }
+
+  emits('sendMessage', input_data)
+  // nextTick(() => (input_data.task_des = '', input_data.cnt_agents = ''))
+  console.log("sendMessage in TalkInput.vue", input_data)
+}
+
+// const clearMessage = () => {
+//   input_data.task_des = ''
+// }
+</script>
+
+<style scoped lang="scss">
+.divider {
+  height: 5px;
+  /* 调整垂直空隙的高度 */
+  /* 调整分割线和上下元素之间的距离 */
+}
+
+.talk-input-border {
+  column-gap: 8px;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  position: relative;
+  width: 700px;
+
+  .gradient-mask {
+    width: 100%;
+    height: 64px;
+    position: absolute;
+    left: 0;
+    top: 0;
+    transform: translateY(-100%);
+    background: linear-gradient(180deg, rgba(235, 236, 248, 0.00) 0%, #EAEBF9 100%);
+    z-index: 40;
+  }
+
+}
+
+.talk-input {
+  flex: 1;
+  // min-height: 88px;
+  max-height: 350px;
+  margin: 0 var(--size-50100);
+  width: 700px;
+  position: sticky;
+  bottom: 0;
+  z-index: 110;
+
+  background-color: #fff;
+  border: 1px solid #eee;
+  border-radius: 8px;
+
+  :deep(.el-textarea) {
+    flex: 1;
+    height: 100%;
+    border: 0;
+    background: transparent;
+
+    .el-textarea__inner {
+      max-height: 200px;
+      height: calc(calc(var(--line-length) + 1) * 14px);
+      padding: 10px 12px;
+      box-shadow: none;
+      font-family: PingFangSC-Regular;
+      font-size: 14px;
+      line-height: 14px;
+      border-radius: 8px;
+      resize: none;
+    }
+
+    textarea {
+      min-height: 34px !important;
+
+      &::placeholder {
+        color: #eee;
+        font-family: PingFangSC-Regular;
+        font-size: 14px;
+        color: #CCCCCC;
+        font-weight: 400;
+      }
+    }
+  }
+
+  .operate {
+    min-height: 28px;
+    width: 100%;
+    font-family: PingFangSC-Regular;
+    font-size: 12px;
+    color: #cccccc;
+    font-weight: 400;
+    padding: 0 24px 12px;
+    border-radius: 0 0 8px 8px;
+    background: #fff;
+
+    .length {
+      user-select: none;
+    }
+
+    .tip {
+      margin-left: auto;
+      margin-right: 24px;
+      user-select: none;
+    }
+
+    .btn {
+      gap: 16px;
+
+      img {
+        cursor: pointer;
+        width: 16px;
+        height: 16px;
+      }
+
+      &.disabled {
+        cursor: default;
+
+        :deep(svg) {
+          path {
+            fill: #ccc;
+          }
+        }
+      }
+    }
+  }
+
+  &.focus {
+    border-color: #3d4ac6;
+  }
+
+  &.sensitive .word-sensitive-wrapper {
+    animation: fadeInBottom 0.6s ease-in-out forwards;
+  }
+
+  .word-sensitive-wrapper {
+    pointer-events: none;
+    position: absolute;
+    bottom: 120%;
+    z-index: 10;
+    // transform: translateY(30px);
+    opacity: 0;
+    width: 100%;
+    display: flex;
+    justify-content: center;
+
+    .word-sensitive {
+      width: fit-content;
+      padding-bottom: 0;
+      background: #fffdfc;
+      border: 1px solid #ffd1ba;
+      border-radius: 4px;
+
+      font-family: PingFangSC-Regular;
+      font-size: 12px;
+      color: #1c2848;
+      letter-spacing: 0;
+      font-weight: 400;
+      display: flex;
+      flex-direction: row;
+      gap: 10px;
+
+      padding: 10px 20px;
+    }
+  }
+}
+
+.submit {
+  flex-basis: 86px;
+  height: 34px;
+  width: 86px;
+  background: #3D4AC6;
+  border-radius: 8px;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  cursor: pointer;
+
+  img {
+    height: 16px;
+    width: 16px;
+    background: transparent;
+    transform: rotate(-35deg);
+    margin-bottom: 5px;
+  }
+}
+
+.send-btn {
+  width: 86px;
+  height: 70px;
+  padding: 5px !important;
+  background: #3D4AC6;
+  border-radius: 8px;
+
+  path {
+    scale: 1.33 !important;
+  }
+}
+</style>
diff --git a/AgentVerseWeb/src/components/Icons/IconBad.vue b/AgentVerseWeb/src/components/Icons/IconBad.vue
new file mode 100644
index 000000000..8c55b81f1
--- /dev/null
+++ b/AgentVerseWeb/src/components/Icons/IconBad.vue
@@ -0,0 +1,29 @@
+<template>
+  <svg
+    width="13px"
+    height="13px"
+    viewBox="0 0 13 13"
+    version="1.1"
+    xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink"
+  >
+    <title>踩</title>
+    <g id="API平台" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+      <g id="首页备份-13" transform="translate(-1235.000000, -473.000000)" fill-rule="nonzero">
+        <g id="编组-2" transform="translate(1196.000000, 464.000000)">
+          <g
+            id="赞备份"
+            transform="translate(45.500000, 15.500000) scale(-1, -1) translate(-45.500000, -15.500000) translate(39.000000, 9.000000)"
+          >
+            <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="13" height="13" />
+            <path
+              id="形状"
+              d="M10.5625,4.63125 L8.69375,4.63125 C8.69375,4.63125 8.9375,3.81875 9.1,2.35625 C9.18125,1.625 8.6125,0.89375 7.8,0.8125 L7.6375,0.8125 C6.9875,0.8125 6.58125,1.21875 6.3375,1.7875 L5.85,3.00625 C5.44375,3.81875 5.11875,4.30625 4.875,4.46875 C4.55,4.63125 3.33125,4.63125 3.25,4.63125 L1.625,4.63125 C1.1375,4.63125 0.8125,4.95625 0.8125,5.3625 L0.8125,11.45625 C0.8125,11.8625 1.1375,12.1875 1.625,12.1875 L9.83125,12.1875 C11.05,12.1875 11.375,11.375 11.5375,10.2375 L12.1875,6.3375 C12.26875,5.44375 12.10625,4.63125 10.5625,4.63125 Z M3.25,11.45625 L1.625,11.45625 L1.625,5.3625 L3.25,5.3625 L3.25,11.45625 Z M11.375,6.25625 L10.725,10.15625 C10.5625,10.8875 10.5625,11.45625 9.75,11.45625 L4.0625,11.45625 L4.0625,5.3625 C4.63125,5.3625 4.95625,5.28125 5.2,5.11875 C5.60625,4.95625 6.0125,4.30625 6.58125,3.25 C6.90625,2.4375 7.06875,2.03125 7.15,1.95 C7.23125,1.70625 7.39375,1.54375 7.71875,1.54375 L7.8,1.54375 C8.20625,1.54375 8.36875,1.95 8.36875,2.19375 C8.20625,3.49375 7.9625,4.30625 7.9625,4.30625 L7.6375,5.3625 L10.725,5.3625 C10.96875,5.3625 11.13125,5.3625 11.29375,5.525 C11.45625,5.6875 11.375,6.0125 11.375,6.25625 L11.375,6.25625 Z"
+              fill="#A4A9B6"
+            />
+          </g>
+        </g>
+      </g>
+    </g>
+  </svg>
+</template>
diff --git a/AgentVerseWeb/src/components/Icons/IconCopy.vue b/AgentVerseWeb/src/components/Icons/IconCopy.vue
new file mode 100644
index 000000000..8575e1f44
--- /dev/null
+++ b/AgentVerseWeb/src/components/Icons/IconCopy.vue
@@ -0,0 +1,25 @@
+<template>
+  <svg
+    width="1em"
+    height="1em"
+    viewBox="0 0 16 16"
+    version="1.1"
+    xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink"
+  >
+    <g id="API平台" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+      <g id="首页备份-15" transform="translate(-1144.000000, -829.000000)" fill-rule="nonzero">
+        <g id="编组-3" transform="translate(364.000000, 805.000000)">
+          <g id="复制,重复,重叠" transform="translate(780.000000, 24.000000)">
+            <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="16" height="16" />
+            <path
+              id="形状"
+              d="M13,2.75 L13,1 C13,0.4484375 12.5515625,0 12,0 L1,0 C0.4484375,0 0,0.4484375 0,1 L0,12 C0,12.5515625 0.4484375,13 1,13 L2.75,13 C2.8875,13 3,13.1125 3,13.25 L3,15 C3,15.5515625 3.4484375,16 4,16 L15,16 C15.5515625,16 16,15.5515625 16,15 L16,4 C16,3.4484375 15.5515625,3 15,3 L13.25,3 C13.1125,3 13,2.8875 13,2.75 Z M2.75,12 L1.25,12 C1.1125,12 1,11.8875 1,11.75 L1,1.25 C1,1.1125 1.1125,1 1.25,1 L11.75,1 C11.8875,1 12,1.1125 12,1.25 L12,2.75 C12,2.8875 11.8875,3 11.75,3 L4,3 C3.4484375,3 3,3.4484375 3,4 L3,11.75 C3,11.8875 2.8875,12 2.75,12 Z M14.75,15 L4.25,15 C4.1125,15 4,14.8875 4,14.75 L4,4.25 C4,4.1125 4.1125,4 4.25,4 L14.75,4 C14.8875,4 15,4.1125 15,4.25 L15,14.75 C15,14.8875 14.8875,15 14.75,15 Z"
+              fill="#A4A9B6"
+            />
+          </g>
+        </g>
+      </g>
+    </g>
+  </svg>
+</template>
diff --git a/AgentVerseWeb/src/components/Icons/IconDelete.vue b/AgentVerseWeb/src/components/Icons/IconDelete.vue
new file mode 100644
index 000000000..377c24367
--- /dev/null
+++ b/AgentVerseWeb/src/components/Icons/IconDelete.vue
@@ -0,0 +1,15 @@
+<template>
+  <svg width="16px" height="16px" viewBox="0 0 16 16" version="1.1" xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink">
+    <g id="AgentVerse" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+      <g id="用下一页备份-7" transform="translate(-188.000000, -219.000000)" fill-rule="nonzero">
+        <g id="删除" transform="translate(188.000000, 219.000000)">
+          <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="16" height="16" />
+          <path id="形状"
+            d="M14.4434062,3.20945313 L1.55659375,3.20945313 C1.25167188,3.20945313 1.00429688,3.45664063 1.00429688,3.76173438 C1.00429688,4.06682813 1.25167188,4.31401563 1.55659375,4.31401563 L2.66117187,4.31401563 L2.66117187,13.3348438 C2.66117187,14.283 3.63307812,14.9917188 4.50214062,14.9917188 L11.4978594,14.9917188 C12.365125,14.9917188 12.970625,14.3103438 12.970625,13.3348438 L12.970625,4.31403125 L14.4434062,4.31403125 C14.7483281,4.31403125 14.9957031,4.06684375 14.9957031,3.76175 C14.9957031,3.45665625 14.7483281,3.20945313 14.4434062,3.20945313 Z M11.8660312,13.3348594 C11.8660312,13.5869219 11.8020312,13.8871406 11.4978438,13.8871406 L4.50214063,13.8871406 C4.15804688,13.8871406 3.76575,13.5930312 3.76575,13.3348594 L3.76575,4.31403125 L11.8660312,4.31403125 L11.8660312,13.3348594 Z M6.343125,2.10489062 L9.656875,2.10489062 C9.96179688,2.10489062 10.2091719,1.85770312 10.2091719,1.55260937 C10.2091719,1.24751562 9.96179688,1.0003125 9.656875,1.0003125 L6.343125,1.0003125 C6.03820312,1.0003125 5.79082812,1.2475 5.79082812,1.55259375 C5.79082812,1.8576875 6.03820312,2.10489062 6.343125,2.10489062 Z M6.15903125,12.9666719 C6.4639375,12.9666719 6.71132812,12.7192813 6.71132812,12.4143906 L6.71132812,5.78678125 C6.71132812,5.4816875 6.4639375,5.2345 6.15903125,5.2345 C5.85410938,5.2345 5.60673438,5.4816875 5.60673438,5.78678125 L5.60673438,12.4143906 C5.60673438,12.7192969 5.85410938,12.9666719 6.15903125,12.9666719 Z M9.47278125,12.9666719 C9.7776875,12.9666719 10.0250781,12.7192813 10.0250781,12.4143906 L10.0250781,5.78678125 C10.0250781,5.4816875 9.7776875,5.2345 9.47278125,5.2345 C9.16785937,5.2345 8.92048438,5.4816875 8.92048438,5.78678125 L8.92048438,12.4143906 C8.92048438,12.7192969 9.16785937,12.9666719 9.47278125,12.9666719 Z"
+            fill="#A4A9B6" />
+        </g>
+      </g>
+    </g>
+  </svg>
+</template>
diff --git a/AgentVerseWeb/src/components/Icons/IconEdit.vue b/AgentVerseWeb/src/components/Icons/IconEdit.vue
new file mode 100644
index 000000000..2d3b0e59b
--- /dev/null
+++ b/AgentVerseWeb/src/components/Icons/IconEdit.vue
@@ -0,0 +1,31 @@
+<template>
+  <svg
+    width="14px"
+    height="14px"
+    viewBox="0 0 14 14"
+    version="1.1"
+    xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink"
+  >
+    <title>反馈</title>
+    <g id="页面-3" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+      <g id="首页备份-13" transform="translate(-1298.000000, -429.000000)" fill-rule="nonzero">
+        <g id="编组-2" transform="translate(1196.000000, 420.000000)">
+          <g id="重命名" transform="translate(102.400000, 9.600000)">
+            <rect id="矩形" fill="#A4A9B6" opacity="0" x="0" y="0" width="12.8" height="12.8" />
+            <path
+              id="路径"
+              d="M10.8857125,11.8857125 L1.9142875,11.8857125 C1.36200275,11.8857125 0.9142875,11.4379972 0.9142875,10.8857125 L0.9142875,1.9142875 C0.9142875,1.36200275 1.36200275,0.9142875 1.9142875,0.9142875 L5.577125,0.9142875 L5.577125,0.9142875 L5.577125,1.828575 L2.22857501,1.828575 C2.0076611,1.828575 1.828575,2.0076611 1.828575,2.22857501 L1.828575,10.571425 C1.828575,10.7923389 2.0076611,10.971425 2.22857501,10.971425 L10.571425,10.971425 C10.7923389,10.971425 10.971425,10.7923389 10.971425,10.571425 L10.971425,6.8571375 L10.971425,6.8571375 L11.8857125,6.8571375 L11.8857125,10.8857125 C11.8857125,11.4379972 11.4379972,11.8857125 10.8857125,11.8857125 Z"
+              fill="#A4A9B6"
+            />
+            <polygon
+              id="路径"
+              fill="#A4A9B6"
+              points="11.2457125 2.011425 10.6057125 1.371425 3.6571375 8.32 4.2971375 8.96 11.2457125 2.011425"
+            />
+          </g>
+        </g>
+      </g>
+    </g>
+  </svg>
+</template>
diff --git a/AgentVerseWeb/src/components/Icons/IconGood.vue b/AgentVerseWeb/src/components/Icons/IconGood.vue
new file mode 100644
index 000000000..cf5cdf643
--- /dev/null
+++ b/AgentVerseWeb/src/components/Icons/IconGood.vue
@@ -0,0 +1,26 @@
+<template>
+  <svg
+    width="13px"
+    height="13px"
+    viewBox="0 0 13 13"
+    version="1.1"
+    xmlns="http://www.w3.org/2000/svg"
+    xmlns:xlink="http://www.w3.org/1999/xlink"
+  >
+    <title>赞</title>
+    <g id="API平台" stroke="none" stroke-width="1" fill="none" fill-rule="evenodd">
+      <g id="首页备份-13" transform="translate(-1209.000000, -473.000000)" fill-rule="nonzero">
+        <g id="编组-2" transform="translate(1196.000000, 464.000000)">
+          <g id="赞" transform="translate(13.000000, 9.000000)">
+            <rect id="矩形" fill="#000000" opacity="0" x="0" y="0" width="13" height="13" />
+            <path
+              id="形状"
+              d="M10.5625,4.63125 L8.69375,4.63125 C8.69375,4.63125 8.9375,3.81875 9.1,2.35625 C9.18125,1.625 8.6125,0.89375 7.8,0.8125 L7.6375,0.8125 C6.9875,0.8125 6.58125,1.21875 6.3375,1.7875 L5.85,3.00625 C5.44375,3.81875 5.11875,4.30625 4.875,4.46875 C4.55,4.63125 3.33125,4.63125 3.25,4.63125 L1.625,4.63125 C1.1375,4.63125 0.8125,4.95625 0.8125,5.3625 L0.8125,11.45625 C0.8125,11.8625 1.1375,12.1875 1.625,12.1875 L9.83125,12.1875 C11.05,12.1875 11.375,11.375 11.5375,10.2375 L12.1875,6.3375 C12.26875,5.44375 12.10625,4.63125 10.5625,4.63125 Z M3.25,11.45625 L1.625,11.45625 L1.625,5.3625 L3.25,5.3625 L3.25,11.45625 Z M11.375,6.25625 L10.725,10.15625 C10.5625,10.8875 10.5625,11.45625 9.75,11.45625 L4.0625,11.45625 L4.0625,5.3625 C4.63125,5.3625 4.95625,5.28125 5.2,5.11875 C5.60625,4.95625 6.0125,4.30625 6.58125,3.25 C6.90625,2.4375 7.06875,2.03125 7.15,1.95 C7.23125,1.70625 7.39375,1.54375 7.71875,1.54375 L7.8,1.54375 C8.20625,1.54375 8.36875,1.95 8.36875,2.19375 C8.20625,3.49375 7.9625,4.30625 7.9625,4.30625 L7.6375,5.3625 L10.725,5.3625 C10.96875,5.3625 11.13125,5.3625 11.29375,5.525 C11.45625,5.6875 11.375,6.0125 11.375,6.25625 L11.375,6.25625 Z"
+              fill="#A4A9B6"
+            />
+          </g>
+        </g>
+      </g>
+    </g>
+  </svg>
+</template>
diff --git a/AgentVerseWeb/src/components/Loading/LoadingDot.vue b/AgentVerseWeb/src/components/Loading/LoadingDot.vue
new file mode 100644
index 000000000..f3c2140f5
--- /dev/null
+++ b/AgentVerseWeb/src/components/Loading/LoadingDot.vue
@@ -0,0 +1,35 @@
+<!-- <IconsSend @click="sendMessage" /> -->
+<template>
+  <div class="loading flex-row flex-center">
+    <i></i>
+    <i></i>
+    <i></i>
+  </div>
+</template>
+
+<script setup lang="ts"></script>
+
+<style scoped lang="scss">
+.loading {
+  gap: 2px;
+
+  i {
+    width: 4px;
+    height: 4px;
+    border-radius: 50%;
+    background: #ffffff;
+    opacity:0.8;
+
+    animation: loadingDot steps(3) 1.5s infinite;
+
+    &:nth-of-type(2) {
+      //   opacity: 0.6;
+      animation: loadingDot steps(3) 1.5s 0.5s infinite;
+    }
+    &:nth-of-type(3) {
+      //   opacity: 0.2;
+      animation: loadingDot steps(3) 1.5s 1s infinite;
+    }
+  }
+}
+</style>
diff --git a/AgentVerseWeb/src/composables/useApi.ts b/AgentVerseWeb/src/composables/useApi.ts
new file mode 100644
index 000000000..b16abd6e0
--- /dev/null
+++ b/AgentVerseWeb/src/composables/useApi.ts
@@ -0,0 +1,201 @@
+import axios, { AxiosResponse } from 'axios'
+
+type Result<T> = {
+  success: boolean
+  code: number
+  message: string
+  data: T
+}
+
+const httpService = axios.create({
+  // baseURL: import.meta.env.BASE_URL,
+  baseURL: '',
+  headers: {
+    'Content-Type': 'application/x-www-form-urlencoded',
+    // 'Content-Type': 'application/json',
+  },
+})
+
+//test --- BASE_URL
+const test = '//test ---//test ---//test ---//test ---'
+
+httpService.interceptors.request.use((config) => {
+  const token = useGetLocalCache(STORAGE_TOKEN)
+  config.headers!.token = token
+
+  // if (import.meta.env.VITE_MODE === 'production') {
+  //   config.url = config.url?.replace('/api', '/account/v1')
+  //   config.url = config.url?.replace('/api', '/chat/v1')
+  // }
+  return config
+})
+// const authStore = useAuthStoreOut()
+httpService.interceptors.response.use(
+  (res: AxiosResponse) => {
+    const authStore = useAuthStore()
+    const userStore = useUserStore()
+    // 1009 无效token 1005 用户不存在  1008 无效的token 1017用户不存在
+    if (res?.data.code === 1009 || res?.data.code === 1005 || res?.data.code === 1008 || res?.data?.code === 1017) {
+
+
+      // authStore.clearLoginState()
+      // userStore.clearUserInfo()
+      // router.push('/')
+      // return res?.data
+
+      // 开发测试先注释掉
+    }
+    return res?.data
+  },
+  (err: any) => {
+    console.log(err)
+    return
+  }
+)
+
+export const useCheckTokenRequest = (): Promise<Result<any>> => {
+  const token = useGetLocalCache(STORAGE_TOKEN)
+  return httpService.post('/api/check', { token })
+}
+
+export const useCheckPhoneRequest = (params: { mobile: string }) => {
+  return httpService.post('/api/isExist', params)
+}
+
+
+export const useSignUpRequest = (params: any): Promise<Result<any>> => {
+  return httpService.post('/api/register', params)
+}
+
+export const useSharedConvsRequest = (params: any): Promise<Result<any>> => {
+  return httpService.post('/api/getSharedInteractions', params)
+}
+
+export const useLoginRequest = (params: { email: string; token: string }) => {
+  return httpService.post('/api/login', params)
+}
+
+// ecport
+
+
+
+export const useRegisterRequest = (params: {
+  email: string,
+  name: string,
+}) => {
+  return httpService.post('/api/register', params)
+}
+
+export const useLogoutRequest = (): Promise<Result<any>> => {
+  return httpService.get('/api/logout')
+}
+
+/**
+ * 发送短信验证码
+ * @param params
+ * @param params.mobile string 手机号
+ * @param params.scene number 场景类型，1-注册，2-登录
+ * @returns
+ */
+export const useMobileCodeRequest = (params: { mobile: string | number; scene: number }) => {
+  return httpService.post('/sendSmsCode', params)
+}
+
+export const useEmailCodeRequest = (params: { email: string }) => {
+  return httpService.post('/sendEmailCode', params)
+}
+
+/**
+ * 获取用户secret key
+ */
+export const useDetailRequest = (): Promise<Result<{ appKey: string; secretKey: string }>> => {
+  return httpService.post('/key/details')
+}
+
+/**
+ * 反馈
+ * @param params
+ * @param params.feedbackMsg 反馈意见
+ * @returns
+ */
+export const useFeedbackRequest = (params: {
+  messageId: string
+  conversationId: string
+  feedbackMsg?: string
+  rating: 'THUMBS_UP' | 'THUMBS_DOWN' | 'THUMBS_NO'
+  feedbackAction?: 'COPY' | 'REGENERATE'
+}): Promise<Result<{}>> => {
+  return httpService.post('/msg/feedback', params)
+}
+
+/**
+ * 对话
+ * @param params
+ * @returns
+ */
+export const useChatRequest = (params: {
+  chatMessage: Array<{ content: { pairs: string; type: 'TEXT' }; id: string; role: 'USER' | 'AI' }>
+  conversationId: string
+  parentMessageId: string
+  generateType?: 'REGENERATE' | 'NORMAL'
+}): Promise<Result<{ output: string; msgId: string; costTimeMillis: number }>> => {
+  return httpService.post('/next', params)
+}
+
+/**
+ * 调用概览
+ * @returns
+ */
+export const useApiDetailsRequest = (): Promise<Result<{ balance: number; costAmount: number; failRate: string; totalCount: number }>> => {
+  return httpService.post('/call/details')
+}
+
+export const useHistoryByIdRequest = (): Promise<Result<{ convInfoList: [] }>> => {
+  const userStore = useUserStore()
+  const userInfo = userStore.getUserInfo
+  return httpService.post('/api/getAllInteractors',
+    {
+      user_id: userInfo?.user_id,
+      token: userInfo?.token
+    });
+}
+
+export const useHistoryListRequest = (): Promise<Result<any>> => {
+
+  const userStore = useUserStore()
+  const userInfo = userStore.getUserInfo
+
+  return httpService.post('/api/getUserInteractions',
+    {
+      user_id: userInfo?.user_id,
+      token: userInfo?.token,
+      page_size: 10,
+      page_num: 1
+    });
+}
+
+/**
+ *
+ * @param params
+ * @returns
+ *
+ */
+export const useQueryChatRequest = (params: {
+  convId: string
+}): Promise<
+  Result<{ msgInfos: { msgID: string; content: string; parentMsgID: string; feedbackMsg: string; role: string; rating: string }[] }>
+> => {
+  return httpService.post('/getMsgsByConvID', params)
+}
+
+export const useDeleteHistoryRequest = (params: object): Promise<Result<{}>> => {
+
+  const userStore = useUserStore()
+  const userInfo = userStore.getUserInfo
+
+  return httpService.post('/api/deleteInteraction', {
+    user_id: userInfo?.user_id,
+    token: userInfo?.token,
+    ...params
+  });
+}
diff --git a/AgentVerseWeb/src/composables/useChart.ts b/AgentVerseWeb/src/composables/useChart.ts
new file mode 100644
index 000000000..0a0f837aa
--- /dev/null
+++ b/AgentVerseWeb/src/composables/useChart.ts
@@ -0,0 +1 @@
+export const useChart = (el: HTMLElement, options: {}) => {}
diff --git a/AgentVerseWeb/src/composables/useCrypto.ts b/AgentVerseWeb/src/composables/useCrypto.ts
new file mode 100644
index 000000000..d7187cf04
--- /dev/null
+++ b/AgentVerseWeb/src/composables/useCrypto.ts
@@ -0,0 +1,54 @@
+import { encrypt, decrypt } from 'crypto-js/aes'
+import { parse } from 'crypto-js/enc-utf8'
+import pkcs7 from 'crypto-js/pad-pkcs7'
+import ECB from 'crypto-js/mode-ecb'
+import md5 from 'crypto-js/md5'
+import UTF8 from 'crypto-js/enc-utf8'
+import Base64 from 'crypto-js/enc-base64'
+
+interface EncryptionParams {
+  key: string
+  iv: string
+}
+
+export class AesEncryption {
+  private key = 'secret key'
+  private iv
+  constructor(opt: Partial<EncryptionParams>) {
+    const { key, iv } = opt
+    if (key) {
+      this.key = key
+    }
+    if (iv) {
+      this.iv = parse(iv)
+    }
+  }
+
+  get getOptions() {
+    return {
+      mode: ECB,
+      padding: pkcs7,
+      iv: this.iv,
+    }
+  }
+
+  encryptByAES(text: string) {
+    return encrypt(text, this.key, this.getOptions).toString()
+  }
+
+  decryptByAES(text: string) {
+    return decrypt(text, this.key, this.getOptions).toString(UTF8)
+  }
+}
+
+export default {
+  encryptByBase64(text: string) {
+    return UTF8.parse(text).toString(Base64)
+  },
+  decodeByBase64(text: string) {
+    return Base64.parse(text).toString(UTF8)
+  },
+  encryptByMd5(text: string) {
+    return md5(text).toString()
+  },
+}
diff --git a/AgentVerseWeb/src/composables/useEnums.ts b/AgentVerseWeb/src/composables/useEnums.ts
new file mode 100644
index 000000000..c2542a1b7
--- /dev/null
+++ b/AgentVerseWeb/src/composables/useEnums.ts
@@ -0,0 +1,6 @@
+export const TOKEN = 'token'
+export const USER_INFO = 'user_info'
+export const AUTH_STATE = 'isLogin'
+export const CACHE_LOCATION = 'localStorage'
+export const STORAGE_TOKEN = 'modelforce_token'
+export const HISTORY_TALK = 'history_talk'
diff --git a/AgentVerseWeb/src/composables/useSSE.ts b/AgentVerseWeb/src/composables/useSSE.ts
new file mode 100644
index 000000000..b2818abc8
--- /dev/null
+++ b/AgentVerseWeb/src/composables/useSSE.ts
@@ -0,0 +1,421 @@
+// var useSSE = function (url: string, options: any) {
+//   if (!(this instanceof useSSE)) {
+//     return new useSSE(url, options)
+//   }
+
+//   this.INITIALIZING = -1
+//   this.CONNECTING = 0
+//   this.OPEN = 1
+//   this.CLOSED = 2
+
+//   this.url = url
+
+//   options = options || {}
+//   this.headers = options.headers || {}
+//   this.payload = options.payload !== undefined ? options.payload : ''
+//   this.method = options.method || (this.payload && 'POST') || 'GET'
+//   this.withCredentials = !!options.withCredentials
+
+//   this.FIELD_SEPARATOR = ':'
+//   this.listeners = {}
+
+//   this.xhr = null
+//   this.readyState = this.INITIALIZING
+//   this.progress = 0
+//   this.chunk = ''
+
+//   this.addEventListener = function (type, listener) {
+//     if (this.listeners[type] === undefined) {
+//       this.listeners[type] = []
+//     }
+
+//     if (this.listeners[type].indexOf(listener) === -1) {
+//       this.listeners[type].push(listener)
+//     }
+//   }
+
+//   this.removeEventListener = function (type, listener) {
+//     if (this.listeners[type] === undefined) {
+//       return
+//     }
+
+//     var filtered = []
+//     this.listeners[type].forEach(function (element) {
+//       if (element !== listener) {
+//         filtered.push(element)
+//       }
+//     })
+//     if (filtered.length === 0) {
+//       delete this.listeners[type]
+//     } else {
+//       this.listeners[type] = filtered
+//     }
+//   }
+
+//   this.dispatchEvent = function (e) {
+//     if (!e) {
+//       return true
+//     }
+
+//     e.source = this
+
+//     var onHandler = 'on' + e.type
+//     if (this.hasOwnProperty(onHandler)) {
+//       this[onHandler].call(this, e)
+//       if (e.defaultPrevented) {
+//         return false
+//       }
+//     }
+
+//     if (this.listeners[e.type]) {
+//       return this.listeners[e.type].every(function (callback) {
+//         callback(e)
+//         return !e.defaultPrevented
+//       })
+//     }
+
+//     return true
+//   }
+
+//   this._setReadyState = function (state) {
+//     var event = new CustomEvent('readystatechange')
+//     event.readyState = state
+//     this.readyState = state
+//     this.dispatchEvent(event)
+//   }
+
+//   this._onStreamFailure = function (e) {
+//     var event = new CustomEvent('error')
+//     event.data = e.currentTarget.response
+//     this.dispatchEvent(event)
+//     this.close()
+//   }
+
+//   this._onStreamAbort = function (e) {
+//     this.dispatchEvent(new CustomEvent('abort'))
+//     this.close()
+//   }
+
+//   this._onStreamProgress = function (e) {
+//     if (!this.xhr) {
+//       return
+//     }
+
+//     if (this.xhr.status !== 200) {
+//       this._onStreamFailure(e)
+//       return
+//     }
+
+//     if (this.readyState == this.CONNECTING) {
+//       this.dispatchEvent(new CustomEvent('open'))
+//       this._setReadyState(this.OPEN)
+//     }
+
+//     var data = this.xhr.responseText.substring(this.progress)
+//     console.log(data)
+//     this.progress += data.length
+//     data.split(/(\r\n|\r|\n){2}/g).forEach(
+//       function (part) {
+//         if (part.trim().length === 0) {
+//           this.dispatchEvent(this._parseEventChunk(this.chunk.trim()))
+//           this.chunk = ''
+//         } else {
+//           this.chunk += part
+//         }
+//       }.bind(this)
+//     )
+//   }
+
+//   this._onStreamLoaded = function (e) {
+//     this._onStreamProgress(e)
+
+//     // Parse the last chunk.
+//     this.dispatchEvent(this._parseEventChunk(this.chunk))
+//     this.chunk = ''
+//   }
+
+//   /**
+//    * Parse a received useSSE event chunk into a constructed event object.
+//    */
+//   this._parseEventChunk = function (chunk) {
+//     if (!chunk || chunk.length === 0) {
+//       return null
+//     }
+
+//     var e = { id: null, retry: null, data: '', event: 'message' }
+//     chunk.split(/\n|\r\n|\r/).forEach(
+//       function (line) {
+//         line = line.trimRight()
+//         var index = line.indexOf(this.FIELD_SEPARATOR)
+//         if (index <= 0) {
+//           // Line was either empty, or started with a separator and is a comment.
+//           // Either way, ignore.
+//           return
+//         }
+
+//         var field = line.substring(0, index)
+//         if (!(field in e)) {
+//           return
+//         }
+
+//         var value = line.substring(index + 1).trimLeft()
+//         if (field === 'data') {
+//           e[field] += value
+//         } else {
+//           e[field] = value
+//         }
+//       }.bind(this)
+//     )
+
+//     var event = new CustomEvent(e.event)
+//     event.data = e.data
+//     event.id = e.id
+//     return event
+//   }
+
+//   this._checkStreamClosed = function () {
+//     if (!this.xhr) {
+//       return
+//     }
+
+//     if (this.xhr.readyState === XMLHttpRequest.DONE) {
+//       this._setReadyState(this.CLOSED)
+//     }
+//   }
+
+//   this.stream = function () {
+//     this._setReadyState(this.CONNECTING)
+
+//     this.xhr = new XMLHttpRequest()
+//     this.xhr.addEventListener('progress', this._onStreamProgress.bind(this))
+//     this.xhr.addEventListener('load', this._onStreamLoaded.bind(this))
+//     this.xhr.addEventListener('readystatechange', this._checkStreamClosed.bind(this))
+//     this.xhr.addEventListener('error', this._onStreamFailure.bind(this))
+//     this.xhr.addEventListener('abort', this._onStreamAbort.bind(this))
+//     this.xhr.open(this.method, this.url)
+//     for (var header in this.headers) {
+//       this.xhr.setRequestHeader(header, this.headers[header])
+//     }
+//     this.xhr.withCredentials = this.withCredentials
+//     this.xhr.send(this.payload)
+//   }
+
+//   this.close = function () {
+//     if (this.readyState === this.CLOSED) {
+//       return
+//     }
+
+//     this.xhr.abort()
+//     this.xhr = null
+//     this._setReadyState(this.CLOSED)
+//   }
+// }
+
+interface SSEInf {
+  // addEventListener(): void
+  // removeEventListener(): void
+  // setReadyState(): void
+  // onStreamFailure(): void
+  // onStreamAbort(): void
+  // onStreamProgress(): void
+  // onStreamLoaded(): void
+  // parseEventChunk(): void
+  // stream(): void
+  onStreamLoaded(e: any): void
+}
+
+class useSSE {
+  readonly INITIALIZING = -1
+  readonly CONNECTING = 0
+  readonly OPEN = 1
+  readonly CLOSED = 2
+  readonly FIELD_SEPARATOR = ':'
+
+  private url: string
+  private headers: any
+  private payload: any
+  private method: string = 'GET'
+  private withCredentials: boolean = false
+  private options: any
+
+  private listeners: any = {}
+  private xhr: Nullable<XMLHttpRequest> = null
+  private readyState = this.INITIALIZING
+  private progress: number = 0
+  private chunk: string = ''
+
+  constructor(url: string, options: any = {}) {
+    this.url = url
+
+    this.headers = options.headers || {}
+    this.payload = options.payload !== undefined ? options.payload : ''
+    this.method = options.method || (this.payload && 'POST') || 'GET'
+    this.withCredentials = !!options.withCredentials
+  }
+
+  public addEventListener(type: string, listener: Function) {
+    if (this.listeners[type] === undefined) {
+      this.listeners[type] = []
+    }
+
+    if (this.listeners[type].indexOf(listener) === -1) {
+      this.listeners[type].push(listener)
+    }
+  }
+  public removeEventListener(type: string, listener: Function) {
+    if (this.listeners[type] === undefined) {
+      return
+    }
+
+    const filtered: any[] = []
+    this.listeners[type].forEach(function (element: any) {
+      if (element !== listener) {
+        filtered.push(element)
+      }
+    })
+    if (filtered.length === 0) {
+      delete this.listeners[type]
+    } else {
+      this.listeners[type] = filtered
+    }
+  }
+
+  private dispatchEvent(e: any) {
+    if (!e) {
+      return true
+    }
+
+    e.source = this
+
+    var onHandler: string = 'on' + e.type
+    if (this.hasOwnProperty(onHandler)) {
+      this[onHandler as keyof SSEInf].call(this, e)
+      if (e.defaultPrevented) {
+        return false
+      }
+    }
+
+    if (this.listeners[e.type]) {
+      return this.listeners[e.type].every(function (callback: Function) {
+        callback(e)
+        return !e.defaultPrevented
+      })
+    }
+
+    return true
+  }
+
+  private setReadyState(state: number) {
+    const event: any = new CustomEvent('readystatechange')
+    event.readyState = state
+    this.readyState = state
+    this.dispatchEvent(event)
+  }
+  private onStreamFailure(e: any) {
+    var event: any = new CustomEvent('error')
+    event.data = e.currentTarget.response
+    this.dispatchEvent(event)
+    this.close()
+  }
+  private onStreamAbort(e: any) {
+    this.dispatchEvent(new CustomEvent('abort'))
+    this.close()
+  }
+
+  private onStreamProgress(e: any) {
+    if (!this.xhr) return
+
+    if (this.xhr.status !== 200) {
+      this.onStreamFailure(e)
+      return
+    }
+
+    if (this.readyState === this.CONNECTING) {
+      this.dispatchEvent(new CustomEvent('open'))
+      this.setReadyState(this.OPEN)
+    }
+
+    const data = this.xhr.responseText.substring(this.progress)
+    console.log(data)
+    this.progress += data.length
+
+    data.split(/(\r\n|\r|\n){2}/g).forEach((part) => {
+      if (part.trim().length === 0) {
+        this.dispatchEvent(this.parseEventChunk(this.chunk.trimEnd()))
+        this.chunk = ''
+      } else {
+        this.chunk += part
+      }
+    })
+  }
+  private onStreamLoaded(e: any) {
+    this.onStreamProgress(e)
+
+    // Parse the last chunk
+    this.dispatchEvent(this.parseEventChunk(this.chunk))
+    this.chunk = ''
+  }
+
+  private parseEventChunk(chunk: string) {
+    if (!chunk || chunk.length === 0) return
+
+    const e: { [x: string]: any } = { id: null, retry: null, data: '', event: 'message' }
+    chunk.split(/\n|\r\n|\r/).forEach((line: string) => {
+      line = line.trimEnd()
+      const index = line.indexOf(this.FIELD_SEPARATOR)
+      if (index <= 0) return
+
+      const field = line.substring(0, index)
+      if (!(field in e)) return
+
+      const value = line.substring(index + 1).trimStart()
+      if (field === 'data') {
+        e[field] += value
+      } else {
+        e[field] = value
+      }
+    })
+
+    const event: any = new CustomEvent(e.event)
+    event.data = e.data
+    event.id = e.id
+    return event
+  }
+
+  private checkStreamClosed() {
+    if (!this.xhr) return
+
+    if (this.xhr.readyState === XMLHttpRequest.DONE) {
+      this.setReadyState(this.CLOSED)
+    }
+  }
+
+  public stream() {
+    this.setReadyState(this.CONNECTING)
+
+    this.xhr = new XMLHttpRequest()
+    this.xhr.addEventListener('progress', this.onStreamProgress.bind(this))
+    this.xhr.addEventListener('load', this.onStreamLoaded.bind(this))
+    this.xhr.addEventListener('readystatechange', this.checkStreamClosed.bind(this))
+    this.xhr.addEventListener('error', this.onStreamFailure.bind(this))
+    this.xhr.addEventListener('abort', this.onStreamAbort.bind(this))
+
+    this.xhr.open(this.method, this.url)
+
+    for (const header in this.headers) {
+      this.xhr.setRequestHeader(header, this.headers[header])
+    }
+    this.xhr.withCredentials = this.withCredentials
+
+    this.xhr.send(this.payload)
+  }
+
+  public close() {
+    if (this.readyState === this.CLOSED) return
+    this.xhr?.abort()
+    this.xhr = null
+    this.setReadyState(this.CLOSED)
+  }
+}
+
+export default useSSE
diff --git a/AgentVerseWeb/src/composables/useSensitive.ts b/AgentVerseWeb/src/composables/useSensitive.ts
new file mode 100644
index 000000000..7cc7363a1
--- /dev/null
+++ b/AgentVerseWeb/src/composables/useSensitive.ts
@@ -0,0 +1,64 @@
+import { sensitive } from '@/assets/data/data.js'
+
+const generateSensitiveMap = (wordList: string[]): any => {
+  const sensitiveMap = new Map()
+
+  for (let i = 0, len = wordList.length; i < len; ++i) {
+    let map = sensitiveMap
+    const word = wordList[i]
+    for (let j = 0; j < word.length; ++j) {
+      const ch = word.charAt(j)
+      if (map.get(ch)) {
+        map = map.get(ch)
+        if (map.get('isEnd') === true) {
+          break
+        }
+      } else {
+        if (map.get('isEnd') === true) {
+          map.set('isEnd', false)
+        }
+        const nextMap = new Map()
+        nextMap.set('isEnd', true)
+        map.set(ch, nextMap)
+        map = nextMap
+      }
+    }
+  }
+  return sensitiveMap
+}
+
+const sensitiveMap = generateSensitiveMap(sensitive)
+const checkSensitiveIsExist = (txt: string, index: number): { flag: boolean; sensitiveWord: string } => {
+  let flag = false
+  let sensitiveWord = ''
+  let wordNum = 0
+  let currentMap = sensitiveMap
+  for (let i = index; i < txt.length; i++) {
+    const word = txt.charAt(i)
+    currentMap = currentMap.get(word)
+    if (currentMap) {
+      wordNum++
+      sensitiveWord += word
+      if (currentMap.get('isEnd') === true) {
+        flag = true
+        break
+      }
+    } else {
+      break
+    }
+  }
+  if (wordNum < 2) {
+    flag = false
+  }
+  return { flag, sensitiveWord }
+}
+
+export const useIsExistSensitive = (str: string) => {
+  let matchResult = { flag: false, sensitiveWord: '' }
+  const strTrim = str.replace(/[^\u4e00-\u9fa5\u0030-\u0039\u0061-\u007a\u0041-\u005a]+/g, '')
+  for (let i = 0; i < strTrim.length; i++) {
+    matchResult = checkSensitiveIsExist(strTrim, i)
+    if (matchResult.flag) return true
+  }
+  return matchResult.flag
+}
diff --git a/AgentVerseWeb/src/composables/useUtil.ts b/AgentVerseWeb/src/composables/useUtil.ts
new file mode 100644
index 000000000..3c6672367
--- /dev/null
+++ b/AgentVerseWeb/src/composables/useUtil.ts
@@ -0,0 +1,116 @@
+import { BasicKeys } from '/#/store'
+
+export const useWindowOpen = (url: string) => {
+  window.open(url, 'blank')
+}
+
+/**
+ * 获取localStorage
+ * @param key
+ * @returns
+ */
+export const useGetLocalCache = <T = any>(key: BasicKeys): T => {
+  const cache = localStorage.getItem(key)
+  if (!cache) return null as T
+  try {
+    // TODO: 加解密 crypto-js
+    const data = JSON.parse(cache)
+    if (data) return data as T
+  } catch {
+    return null as T
+  }
+  return null as T
+}
+
+/**
+ * 设置localStorage
+ * @param val
+ */
+export const useSetLocalCache = <T>(val: any, key: BasicKeys) => {
+  // if (typeof val === 'string') {
+  //   localStorage.setItem(key, val)
+  // } else {
+  localStorage.setItem(key, JSON.stringify(val))
+  // }
+}
+
+/**
+ * 清楚指定key
+ * @param key
+ */
+export const useClearLocalCache = (key?: BasicKeys) => {
+  if (!key) {
+    localStorage.clear()
+  } else {
+    localStorage.removeItem(key)
+  }
+}
+
+export const useIsMac = () => {
+  return /macintosh|mac os x/i.test(navigator.userAgent)
+}
+
+export const useCheckAuth = async () => {
+  const auth = useAuthStore()
+  // auth.getLoginState
+  // const isLogin = useLogin()
+  // const isShowLogin = useShowLogin()
+  // const token = localStorage.getItem(STORAGE_TOKEN)
+
+  // if (!token || !isLogin.value) {
+  //   isShowLogin.value = true
+  //   return false
+  // }
+  const isLogin = auth.getLoginState
+  if (isLogin) return true
+
+  const res = await useGetLocalCache(STORAGE_TOKEN)
+  return res
+}
+
+export const useNavigateTo = (url: string) => {
+  const router = useRouter()
+  console.log(router)
+  router.push({ path: url })
+}
+
+/**
+ * 添加水印
+ * @param selector
+ */
+export const useInitWaterMark = (selector: string, text: string, options: any = {}) => {
+  const textCanvas = document.createElement('canvas')
+  const textCtx = textCanvas.getContext('2d') as CanvasRenderingContext2D
+  // const text: TextMetrics = textCtx.measureText(userInfo.value.name as string)
+  textCanvas.width = 150
+  textCanvas.height = 120
+  textCanvas.style.width = `150px`
+  textCanvas.style.height = `120px`
+  // document.body.append(textCanvas)
+  textCtx.rotate((-15 * Math.PI) / 180)
+  textCtx.font = '12px 微软雅黑'
+  textCtx.fillStyle = '#Ebebeb'
+  textCtx?.fillText(text, 10, 120)
+
+  const canvas = document.querySelector(selector) as HTMLCanvasElement
+  canvas.width = window.innerWidth - 240
+  canvas.height = window.innerHeight - 120
+  const context: any = canvas.getContext('2d') as CanvasRenderingContext2D
+  context.rect(0, 0, canvas.width, canvas.height)
+  context.fillStyle = context.createPattern(textCanvas, 'repeat')
+  context.fill()
+}
+
+export const useAsset = (path: string): string => {
+  const assets: { [x: string]: any } = import.meta.glob('../assets/images/**', { eager: true, import: 'default' })
+  return assets[`../assets/images` + path]
+}
+
+export const useCreateCopyDom = (id: string): string => {
+  const div = document.createElement('div')
+  div.id = id
+  div.classList.add('copy-btn')
+  const svg = `<svg width="20" height="20" viewBox="0 0 20 20" fill="none" xmlns="http://www.w3.org/2000/svg"><path fill-rule="evenodd" clip-rule="evenodd" d="M14.1667 14.1667V17.5H2.5V5.83333H5.83333V2.5H17.5V14.1667H14.1667ZM15.8333 4.16667H7.5V5.83333H14.1667V12.5H15.8333V4.16667ZM4.16667 7.5H12.5V15.8333H4.16667V7.5Z" fill="white" fill-opacity="0.85"></path></svg>`
+  div.innerHTML = svg
+  return div.outerHTML
+}
diff --git a/AgentVerseWeb/src/composables/useValid.ts b/AgentVerseWeb/src/composables/useValid.ts
new file mode 100644
index 000000000..f3c992eb6
--- /dev/null
+++ b/AgentVerseWeb/src/composables/useValid.ts
@@ -0,0 +1,7 @@
+export const useValidPhone = (str: string): boolean => {
+  return /^1(\d){10}$/.test(str)
+}
+
+export const useValidEmail = (str: string): boolean => {
+  return /^\w+([-+.]\w+)*@\w+([-.]\w+)*\.\w+([-.]\w+)*$/.test(str)
+}
diff --git a/AgentVerseWeb/src/directives/click-outside.ts b/AgentVerseWeb/src/directives/click-outside.ts
new file mode 100644
index 000000000..17bc462ae
--- /dev/null
+++ b/AgentVerseWeb/src/directives/click-outside.ts
@@ -0,0 +1,90 @@
+import type { Directive, App, DirectiveBinding } from 'vue'
+import { ComponentPublicInstance } from 'vue'
+
+type DocumentHandler = <T extends MouseEvent>(mouseup: T, mousedown: T) => void
+type FlushList = Map<HTMLElement, { documentHandler: DocumentHandler; bindingFn: (...args: unknown[]) => unknown }[]>
+
+const nodeList: FlushList = new Map()
+
+let startClick: MouseEvent
+
+document.addEventListener('mousedown', (e: MouseEvent) => (startClick = e))
+document.addEventListener('mouseup', (e: MouseEvent) => {
+  for (const handlers of nodeList.values()) {
+    for (const { documentHandler } of handlers) {
+      documentHandler(e as MouseEvent, startClick)
+    }
+  }
+})
+
+const createDocumentHandler = (el: HTMLElement, binding: DirectiveBinding): DocumentHandler => {
+  let excludes: HTMLElement[] = []
+  if (Array.isArray(binding.arg)) {
+    excludes = binding.arg
+  } else {
+    excludes.push(binding.arg as unknown as HTMLElement)
+  }
+  return function (mouseup, mousedown) {
+    const popperRef = (binding.instance as ComponentPublicInstance<{ popperRef: HTMLElement }>).popperRef
+
+    const mouseUpTarget = mouseup.target as Node
+    const mouseDownTarget = mousedown.target as Node
+    const isBound = !binding || !binding.instance
+
+    const isTargetExists = !mouseUpTarget || !mouseDownTarget
+    const isContainedByEl = el.contains(mouseUpTarget) || el.contains(mouseDownTarget)
+
+    const isSelf = el === mouseUpTarget
+
+    const isTargetExcluded =
+      (excludes.length && excludes.some((item) => item.contains(mouseUpTarget))) ||
+      (excludes.length && excludes.includes(mouseDownTarget as HTMLElement))
+
+    const isContainedByPopper = popperRef && (popperRef.contains(mouseUpTarget) || popperRef.contains(mouseDownTarget))
+
+    if (isBound || isTargetExists || isContainedByEl || isSelf || isTargetExcluded || isContainedByPopper) {
+      return
+    }
+    binding.value(mouseup, mousedown)
+  }
+}
+
+const clickOutSideDirective: Directive = {
+  beforeMount(el: HTMLElement, binding: DirectiveBinding) {
+    if (!nodeList.has(el)) {
+      nodeList.set(el, [])
+    }
+
+    nodeList.get(el)!.push({
+      documentHandler: createDocumentHandler(el, binding),
+      bindingFn: binding.value,
+    })
+  },
+
+  updated(el: HTMLElement, binding: DirectiveBinding) {
+    if (!nodeList.has(el)) {
+      nodeList.set(el, [])
+    }
+    const handlers = nodeList.get(el)!
+    const oldHandlerIndex = handlers.findIndex((item) => item.bindingFn === binding.oldValue)
+
+    const newHandler = {
+      documentHandler: createDocumentHandler(el, binding),
+      bindingFn: binding.value,
+    }
+    if (oldHandlerIndex >= 0) {
+      handlers?.splice(oldHandlerIndex, 1, newHandler)
+    } else {
+      handlers.push(newHandler)
+    }
+  },
+  unmounted(el: HTMLElement) {
+    nodeList.delete(el)
+  },
+}
+
+export function setupClickOutsideDirective(app: App) {
+  app.directive('click-outside', clickOutSideDirective)
+}
+
+export default clickOutSideDirective
diff --git a/AgentVerseWeb/src/directives/highlight.ts b/AgentVerseWeb/src/directives/highlight.ts
new file mode 100644
index 000000000..1bc0d8540
--- /dev/null
+++ b/AgentVerseWeb/src/directives/highlight.ts
@@ -0,0 +1,44 @@
+import type { Directive, App } from 'vue'
+import hljs from 'highlight.js'
+import 'highlight.js/styles/github-dark.css'
+
+const highlightDirective: Directive = {
+  mounted: function bind(el, binding) {
+    // on first bind, highlight all targets
+    const targets = el.querySelectorAll('code')
+    let target
+    let i
+
+    for (i = 0; i < targets.length; i += 1) {
+      target = targets[i]
+
+      if (typeof binding.value === 'string') {
+        // if a value is directly assigned to the directive, use this
+        // instead of the element content.
+        target.textContent = binding.value
+      }
+
+      hljs.highlightBlock(target)
+    }
+  },
+  updated: function componentUpdated(el, binding) {
+    // after an update, re-fill the content and then highlight
+    const targets = el.querySelectorAll('code')
+    let target
+    let i
+
+    for (i = 0; i < targets.length; i += 1) {
+      target = targets[i]
+      if (typeof binding.value === 'string') {
+        target.textContent = binding.value
+        hljs.highlightBlock(target)
+      }
+    }
+  },
+}
+
+export function setupHighlightDirective(app: App) {
+  app.directive('hljs', highlightDirective)
+}
+
+export default highlightDirective
diff --git a/AgentVerseWeb/src/layouts/default.vue b/AgentVerseWeb/src/layouts/default.vue
new file mode 100644
index 000000000..c03f3d1ca
--- /dev/null
+++ b/AgentVerseWeb/src/layouts/default.vue
@@ -0,0 +1,32 @@
+<template>
+  <section class="layout">
+    <router-view />
+  </section>
+</template>
+
+<script setup lang="ts"></script>
+
+<style scoped lang="scss">
+.layout {
+  width: 100%;
+  height: 100%;
+
+  display: grid;
+  grid-template-rows: 60px 1fr;
+
+  background: #fafafa;
+  border: 1px solid #e6e6e6;
+  box-shadow: -4px 0 4px 0 rgba(0, 0, 0, 0.08);
+
+  .main {
+    display: grid;
+    grid-template-rows: 60px 1fr;
+
+    background: #fafafa;
+    border: 1px solid #e6e6e6;
+    box-shadow: -4px 0 4px 0 rgba(0, 0, 0, 0.08);
+
+    overflow: hidden;
+  }
+}
+</style>
diff --git a/AgentVerseWeb/src/main.ts b/AgentVerseWeb/src/main.ts
new file mode 100644
index 000000000..375edd7be
--- /dev/null
+++ b/AgentVerseWeb/src/main.ts
@@ -0,0 +1,40 @@
+import { createApp } from 'vue'
+import './assets/css/base.css'
+import App from './App.vue'
+import 'element-plus/theme-chalk/index.css'
+import * as ElementPlusIconsVue from '@element-plus/icons-vue'
+import { router, setupRouter } from './router/index'
+import { setupRouteGuard } from './router/guard'
+import { setupHighlightDirective } from './directives/highlight'
+// import { setupClickOutsideDirective } from './directives/click-outside'
+import JsonViewer from 'vue-json-viewer'
+import VueViewer from 'v-viewer';
+import 'viewerjs/dist/viewer.css';
+
+// Import JsonViewer as a Vue.js plugin
+
+const start = async () => {
+  const app = createApp(App)
+
+  app.config.globalProperties.$ws_instance = null
+
+  setupStore(app)
+  setupRouter(app)
+  setupRouteGuard(router)
+  setupHighlightDirective(app)
+
+  app.use(JsonViewer)
+  app.use(VueViewer);
+  
+  for (const [key, component] of Object.entries(ElementPlusIconsVue)) {
+    app.component(key, component)
+  }
+  // setupClickOutsideDirective(app)
+
+  // 当路由准备好时再执行挂载( https://next.router.vuejs.org/api/#isready)
+  await router.isReady()
+
+  app.mount('#app', true)
+}
+
+start()
diff --git a/AgentVerseWeb/src/mockApi/index.ts b/AgentVerseWeb/src/mockApi/index.ts
new file mode 100644
index 000000000..7c4257cb2
--- /dev/null
+++ b/AgentVerseWeb/src/mockApi/index.ts
@@ -0,0 +1,10 @@
+import request from '/@/utils/mockRequest'
+
+export const getDataApi = (params?: any) => request.post('/getData', params)
+export const refreshDataApi = (params?: any) => {
+	return request.post('/getNewData', params)
+}
+// request({url:'/getNewData',method:'get',params:params})
+export const getModalData = (params?: any) => request.post('/getModalData', params)
+export const getNewTaskData = (params?: any) => request.post('/getNewTaskData', params)
+export const runRequest = (params?: any) => request.post('/runRequest', params)
diff --git a/AgentVerseWeb/src/router/guard/index.ts b/AgentVerseWeb/src/router/guard/index.ts
new file mode 100644
index 000000000..ff50670fa
--- /dev/null
+++ b/AgentVerseWeb/src/router/guard/index.ts
@@ -0,0 +1,13 @@
+import { createPermissionGuard } from './permission'
+import { Router } from 'vue-router'
+
+const createPageGuard = (router: Router) => {
+  router.afterEach((to, from) => {
+    useTitle(to.meta?.title as string)
+  })
+}
+
+export function setupRouteGuard(router: Router) {
+  createPageGuard(router)
+  createPermissionGuard(router)
+}
diff --git a/AgentVerseWeb/src/router/guard/permission.ts b/AgentVerseWeb/src/router/guard/permission.ts
new file mode 100644
index 000000000..bbacc0e3c
--- /dev/null
+++ b/AgentVerseWeb/src/router/guard/permission.ts
@@ -0,0 +1,43 @@
+import { Router } from 'vue-router'
+export const createPermissionGuard = (router: Router) => {
+  const authStore = useAuthStoreOut()
+
+  router.beforeEach(async (to, from, next) => {
+    // next()
+    // return
+    const isMobile = /Mobi|Android|iPhone/i.test(navigator.userAgent)
+    if (isMobile && to.path !== '/mobile') {
+      // 当前设备是移动设备
+      next('/mobile')
+      return
+    }
+
+    if (!isMobile && to.path === '/mobile') {
+      next('/playground')
+      return
+    }
+    const isLogin = authStore.getLoginState
+    const token = authStore.getToken
+    if (token) {
+      if (isLogin) {
+        to.path === '/login' ? next('/playground') : next()
+        // to.path === '/login' ? next('/share') : next()
+      } else {
+        const loginState = await authStore.checkAuthAction().catch(() => next('/404'))
+        if (loginState) {
+          // to.path === '/login' ? next('/share') : next()
+          to.path === '/login' ? next('/playground') : next()
+        } else {
+          // to.path === '/login' ? next() : next('/login')
+          to.path === '/login' ? next() : next('/login')
+        }
+      }
+    } else {
+      if (to.meta.requireAuth === false && to.path !== '/login') {
+        next()
+      } else {
+        to.path === '/login' ? next() : next('/login')
+      }
+    }
+  })
+}
diff --git a/AgentVerseWeb/src/router/index.ts b/AgentVerseWeb/src/router/index.ts
new file mode 100644
index 000000000..0738d1d14
--- /dev/null
+++ b/AgentVerseWeb/src/router/index.ts
@@ -0,0 +1,101 @@
+import type { App } from 'vue'
+import { createRouter, createWebHistory, RouteRecordRaw } from 'vue-router'
+import Login from '../views/login/login.vue'
+import Layout from '/@/layouts/default.vue'
+
+const moduleRoute: any[] = []
+const modules = import.meta.glob('./modules/**/*.ts', { eager: true })
+
+Object.keys(modules).forEach((key) => {
+  const mod = (modules as Recordable)[key].default || {}
+  const modList = Array.isArray(mod) ? [...mod] : [mod]
+  moduleRoute.push(...modList)
+})
+
+const PAGE_NOT_FOUND = 'page_not_found'
+const PAGE_NOT_FOUND_ROUTE = {
+  name: PAGE_NOT_FOUND,
+  path: '/:path(.*)*',
+  meta: { requireAuth: false },
+  // component: Layout,
+  children: [
+    {
+      path: '/:path(.*)*',
+      name: PAGE_NOT_FOUND,
+      component: () => import('../views/exception/404/index.vue'),
+      meta: {},
+    },
+  ],
+}
+
+const routes: Readonly<RouteRecordRaw[]> = [
+  {
+    path: '/',
+    redirect: '/playground',
+  },
+  {
+    path: '/login',
+    name: 'Login',
+    component: Login,
+    meta: { requireAuth: false },
+  },
+  {
+    name: 'Playground',
+    path: '/playground',
+    component: Layout,
+    meta: { title: 'Demo Playground ｜ AgentVerse' },
+    children: [
+      {
+        path: '/playground',
+        name: 'Playground',
+        component: () => import('/@/views/playground/layout.vue'),
+        children: [
+          {
+            path: '/playground',
+            name: 'Playground',
+            component: () => import('../views/playground/index.vue')
+          },
+          { 
+            path: '/playground/chat',
+            name: 'Talk',
+            component: () => import('../views/playground/chat.vue')
+          },
+
+          { 
+            name: 'NewTalk',
+            path: '/playground/chat/:mode/:id',
+            component: () => import('../views/playground/chat.vue')
+          },
+
+          // { 
+          //   name: 'SharedTalks',
+          //   path: '/share',
+          //   component: () => import('../views/playground/share.vue')
+          // },
+        ],
+      },
+    ],
+  },
+  {
+    name: 'Mobile',
+    path: '/mobile',
+    component: () => import('/@/views/exception/mobile.vue'),
+    meta: {
+      title: 'AgentVerse',
+      requireAuth: false,
+    },
+  },
+  ...moduleRoute,
+  PAGE_NOT_FOUND_ROUTE,
+]
+
+const router = createRouter({
+  history: createWebHistory(import.meta.env.BASE_URL),
+  routes,
+})
+
+export function setupRouter(app: App<Element>) {
+  app.use(router)
+}
+
+export { router }
diff --git a/AgentVerseWeb/src/store/index.ts b/AgentVerseWeb/src/store/index.ts
new file mode 100644
index 000000000..5958908db
--- /dev/null
+++ b/AgentVerseWeb/src/store/index.ts
@@ -0,0 +1,9 @@
+import type { App } from 'vue'
+
+const store = createPinia()
+
+export function setupStore(app: App<Element>) {
+  app.use(store)
+}
+
+export { store }
diff --git a/AgentVerseWeb/src/store/modules/auth.ts b/AgentVerseWeb/src/store/modules/auth.ts
new file mode 100644
index 000000000..0512ed92e
--- /dev/null
+++ b/AgentVerseWeb/src/store/modules/auth.ts
@@ -0,0 +1,49 @@
+interface AuthState {
+  isLogin: boolean
+}
+
+export const useAuthStore = defineStore('auth', {
+  state: () => {
+    return {
+      isLogin: false,
+      token: '',
+    }
+  },
+  getters: {
+    getLoginState(): boolean {
+      return this.isLogin
+    },
+    getToken(): string {
+      return this.token || useGetLocalCache<string>(STORAGE_TOKEN) || ''
+    },
+  },
+  actions: {
+    setLoginState(val: boolean) {
+      this.isLogin = val
+    },
+    setLoginToken(val: string) {
+      this.token = val
+      useSetLocalCache<{ token: string }>(val, STORAGE_TOKEN)
+    },
+    clearLoginState() {
+      this.isLogin = false
+      useClearLocalCache(STORAGE_TOKEN)
+      this.token = ''
+    },
+
+    async checkAuthAction() {
+      const userInfo = useGetLocalCache<{ token: string }>(USER_INFO)
+      if(!userInfo || !userInfo.token) return false;
+      // const res = await useCheckTokenRequest();
+      // const _isLogin = res?.success === true && res?.data === 'True';
+      // this.isLogin = _isLogin;
+      // if (!this.isLogin) this.clearLoginState()
+      // return this.isLogin;
+      return true;
+    },
+  },
+})
+
+export const useAuthStoreOut = () => {
+  return useAuthStore()
+}
diff --git a/AgentVerseWeb/src/store/modules/config.ts b/AgentVerseWeb/src/store/modules/config.ts
new file mode 100644
index 000000000..186a4dcfc
--- /dev/null
+++ b/AgentVerseWeb/src/store/modules/config.ts
@@ -0,0 +1,39 @@
+interface ConfigState {
+    filelist: any[]
+    recorder_dir: string | null
+}
+
+export const useConfigStore = defineStore('config', {
+    state: (): ConfigState => {
+      return {
+        filelist: [],
+        recorder_dir: null
+      }
+    },
+    getters: {
+        getFileList(): any[] {
+            return this.filelist
+        },
+        getRecorderDir(): string | null {
+            return this.recorder_dir
+        }
+    },
+    actions: {
+        addFileItem(val: any) {
+            this.filelist.push(val)
+        },
+        addFiles(val: any[]) {
+            this.filelist = this.filelist.concat(val)
+        },
+        setFileList(val: any[]) {
+            this.filelist = val
+        },
+        setRecorderDir(val: string) {
+            this.recorder_dir = val
+        },
+        resetConfig() {
+            this.filelist = []
+            this.recorder_dir = null
+        }
+    }
+})
diff --git a/AgentVerseWeb/src/store/modules/round.ts b/AgentVerseWeb/src/store/modules/round.ts
new file mode 100644
index 000000000..4198ca630
--- /dev/null
+++ b/AgentVerseWeb/src/store/modules/round.ts
@@ -0,0 +1,130 @@
+import { da } from "element-plus/es/locale"
+
+interface subround {
+    node_id: number | string
+    task_id: number | string
+    name: string
+
+    recruitment: any[]
+    decision_make: any[]
+    aciton_exectuion: any[]
+    evaluation: any[]
+
+    isFinished?: boolean
+    isRunning?: boolean
+    refinement: any
+    isShowRefinement?: boolean
+}
+
+
+interface RoundState {
+    current_subround_index: number
+    subrounds: subround[]
+    isCompleted: boolean
+}
+
+export const useRoundStore = defineStore('ruond', {
+    state: (): RoundState => {
+        return {
+            subrounds: [],
+            current_subround_index: 0,
+            isCompleted: false,
+        }
+    },
+
+    actions: {
+        initializeRounds(data: any) {
+            if (this.isCompleted) {
+                return
+            }
+            this.subrounds = data.subrounds;
+            this.current_subround_index = -1
+        },
+
+        addSubround(data: any) {
+            if (this.isCompleted) {
+                return
+            }
+            this.subrounds.push(data.subround);
+            this.current_subround_index += 1
+        },
+
+        addPipeline(data: any) {
+            if (this.isCompleted) {
+                return
+            }
+            switch (data.stage_id) {
+                case 'role_assign':
+                    this.subrounds[this.current_subround_index].recruitment.push(data.data);
+                    break;
+                case 'decision_make':
+                    this.subrounds[this.current_subround_index].decision_make.push(data.data);
+                    break;
+                case 'aciton_exectuion':
+                    this.subrounds[this.current_subround_index].aciton_exectuion.push(data.data);
+                    break;
+                case 'evaluation':
+                    this.subrounds[this.current_subround_index].evaluation.push(data.data);
+                    break;
+            }
+        },
+
+        addRefinementInfo(data: any) {
+            if (this.isCompleted) {
+                return
+            }
+            this.subrounds[this.current_subround_index].refinement = data.data
+            this.subrounds[this.current_subround_index].isShowRefinement = true;
+        },
+
+
+
+        completeSubround() {
+            this.isCompleted = true
+            this.current_subround_index = this.subrounds.length - 1;
+            // set current index to a number that is larger than the length of subrounds
+        },
+
+        setTaskRefineInfoArray(data: any[]) {
+            if (this.isCompleted) {
+                return
+            } else {
+                data.forEach((item: any, index: number) => {
+                    this.subrounds[index].refinement = item
+                });
+            }
+        },
+
+        reset() {
+            this.subrounds = []
+            this.current_subround_index = 0
+            this.isCompleted = false
+        }
+
+    },
+
+    getters: {
+
+        getCurrentsubroundIndex(): number {
+            return this.current_subround_index
+        },
+
+        // getGoalArray(): any[] {
+        //     return this.subrounds.map((item) => item.goal)
+        // },
+
+        getCurrentsubround(): subround {
+            return this.subrounds[this.current_subround_index]
+        },
+
+        getIssubroundCompleted(): boolean {
+            return this.isCompleted
+        },
+
+        getsubrounds(): subround[] {
+            return this.subrounds
+        }
+    }
+})
+
+
diff --git a/AgentVerseWeb/src/store/modules/talk.ts b/AgentVerseWeb/src/store/modules/talk.ts
new file mode 100644
index 000000000..dfdadcb27
--- /dev/null
+++ b/AgentVerseWeb/src/store/modules/talk.ts
@@ -0,0 +1,207 @@
+import { ChatMsgInfoInf, HistoryInf } from '/#/talk-type'
+import { reactive } from 'vue'
+
+interface MsgInfoInf {
+  msgID: string
+  content: string
+  parentMsgID: string
+}
+
+interface Setting {
+  mode?: string
+  agent?: string
+  plugins?: Array<string>
+  temperature?: number
+}
+
+interface HistoryTalkState {
+  history: Map<string, MsgInfoInf>
+  historyArr?: Array<any>
+  sharedArr?: Array<any>
+  currentInput: any
+  isRequestingAi: boolean
+  setting: Map<string, Setting>
+  msgInfoList: MsgInfoInf[]
+  isShouldRefreshHistory: boolean
+}
+
+export const useHistoryTalkStore = defineStore('talk', {
+  state: (): HistoryTalkState => {
+    return {
+      history: new Map(),
+      historyArr: [],
+      sharedArr: [],
+      currentInput: { task_des: '', cnt_agents: '' },
+      isRequestingAi: false,
+      msgInfoList: [],
+      setting: new Map(),
+      isShouldRefreshHistory: false,
+    }
+  },
+  getters: {
+    getHistoryTalk() { },
+    getCurrentInput(): any {
+      return this.currentInput
+    },
+    getArrHistory(): Array<any> {
+      return this.historyArr || []
+    },
+    getSharedArr(): Array<any> {
+      return this.sharedArr || []
+    },
+    getisRequestingAi(): boolean {
+      return this.isRequestingAi
+    },
+    getMsgInfo(): MsgInfoInf[] {
+      return this.msgInfoList
+    },
+  },
+  actions: {
+    setHistoryChat(conversationId: string, val: any) {
+      if (!Array.isArray(val)) {
+        val = [val]
+      }
+      this.history.set(conversationId, val)
+    },
+
+    setHistoryArr(val: any[]) {
+      this.historyArr = val
+    },
+
+    setSharedArr(val: any[]) {
+      this.sharedArr = val
+    },
+
+    setHistoryArrItem(val: any, index: number) {
+      if (!this.historyArr) return
+      this.historyArr[index] = val
+    },
+
+    pushHistoryArr(val: any) {
+      this.historyArr && this.historyArr.push(val)
+    },
+
+
+    setSetting(conversationId: string, val: Setting) {
+      this.setting.set(conversationId, val)
+    },
+    updateHistoryChat(conversationId: string, msgID: string, val: ChatMsgInfoInf) {
+      const chat: any = this.history.get(conversationId)
+      if (chat) {
+        const currentChat = chat.find((item: ChatMsgInfoInf) => item.msgID === msgID)
+        currentChat.childrenIds = val.childrenIds
+      }
+    },
+    addSubTask(conversationId: string, msgID: string, tasksId: string, dataID: string, val: any, isAll?: boolean) {
+      const chat: any = this.history.get(conversationId);
+      console.log("running on addSubTask", chat, conversationId, msgID, tasksId, dataID, val, isAll)
+      if (chat) {
+        const currentChat = chat.find((item: ChatMsgInfoInf) => item.msgID === msgID)
+        if (currentChat) {
+          //currentChat.subTasks[currentChat.subTasks.length -1].complete = true
+          if (!isAll) {
+            const obj = reactive(val)
+            currentChat.subTasks.push(obj)
+          }
+          const currentTask = currentChat.subTasks.find((taskItem: any) => { return taskItem.tasksId === tasksId })
+          if (currentTask) {
+            const currentTool = currentTask.tools.find((toolItem: any) => { return toolItem.id === dataID })
+            if (currentTool) {
+              currentTool.complete = true
+            }
+          }
+        }
+
+      }
+    },
+    getCurrentMessage(conversationId: string, msgID: string) {
+      const chat: any = this.history.get(conversationId)
+      if (chat) {
+        const currentChat = chat.find((item: ChatMsgInfoInf) => item.msgID === msgID)
+        return currentChat
+      }
+    },
+    requestComplete(conversationId: string, msgID: string, tasksId: string, dataID: string,) {
+      const chat: any = this.history.get(conversationId)
+      if (chat) {
+        const currentChat = chat.find((item: ChatMsgInfoInf) => item.msgID === msgID)
+        if (currentChat) {
+          currentChat['complete'] = true
+          const currentTask = currentChat.subTasks.find((taskItem: any) => { return taskItem.tasksId === tasksId })
+          if (currentTask) {
+            const currentTool = currentTask.tools.find((toolItem: any) => { return toolItem.id === dataID })
+            if (currentTool) {
+              currentTool.complete = true
+            }
+          }
+        }
+
+      }
+    },
+    updateInferencing(conversationId: string, msgID: string, tasksId: string, dataID: string, isComplete: boolean) {
+      const chat: any = this.history.get(conversationId)
+      if (chat) {
+        const currentChat = chat.find((item: ChatMsgInfoInf) => item.msgID === msgID)
+        if (currentChat) {
+          const currentTask = currentChat.subTasks.find((taskItem: any) => { return taskItem.tasksId === tasksId })
+          if (currentTask) {
+            if (isComplete) {
+              currentTask.complete = true
+            }
+            let tag = 0
+            const currentTool = currentTask.tools.find((toolItem: any, index: number) => {
+              if (toolItem.id === dataID) {
+                tag = index
+                return true
+              }
+              return toolItem.id === dataID
+            })
+            if (currentTool) {
+              if (tag < currentTask.tools.length - 1) {
+                currentTask.tools[tag + 1].unClickbel = false
+              }
+              currentTool.complete = true
+            }
+          }
+        }
+
+
+      }
+    },
+    pushHistoryChat(conversationId: string, val: ChatMsgInfoInf) {
+      const chat: any = this.history.get(conversationId)
+      if (chat) {
+        chat.unshift(val)
+        this.setHistoryChat(conversationId, chat)
+      }
+    },
+    getHistoryChat(conversationId: string): any {
+      return this.history.get(conversationId)
+    },
+    getSetting(conversationId: string): any {
+      return this.setting.get(conversationId)
+    },
+    setCurrentInput(val: any) {
+      this.currentInput = val
+    },
+    getCurrentHistory(id?: string): any {
+      // if (!id) return ''
+      // return this.history.find((item: HistoryInf) => item.conversationId === id) || ''
+    },
+    setisRequestingAi(val: boolean): any {
+      this.isRequestingAi = val
+    },
+    clearHistory() {
+      this.history = new Map()
+    },
+    clearSetting() {
+      this.setting = new Map()
+    },
+    setMsgInfo(val: MsgInfoInf[]) {
+      this.msgInfoList = val
+    },
+    setisShouldRefreshHistory(val: boolean) {
+      this.isShouldRefreshHistory = val
+    },
+  },
+})
diff --git a/AgentVerseWeb/src/store/modules/user.ts b/AgentVerseWeb/src/store/modules/user.ts
new file mode 100644
index 000000000..ac7cab537
--- /dev/null
+++ b/AgentVerseWeb/src/store/modules/user.ts
@@ -0,0 +1,54 @@
+import { LoginInfo, RoleEnum, UserInfo } from '/#/user'
+
+interface UserState {
+  userInfo: Nullable<UserInfo>
+  token?: string
+  roleList: RoleEnum[]
+  dictItems?: []
+  sessionTimeout?: boolean
+  lastUpdateTime: number
+  tenantid?: string | number
+  loginInfo?: Nullable<LoginInfo>
+  showKey: boolean
+  showSecret: boolean
+}
+
+export const useUserStore = defineStore('user', {
+  state: (): UserState => {
+    return {
+      // 用户信息
+      userInfo: null,
+      roleList: [],
+      lastUpdateTime: 0,
+      showKey: false,
+      showSecret: false,
+    }
+  },
+  getters: {
+    getUserInfo(): UserInfo {
+      return this.userInfo || useGetLocalCache<UserInfo>(USER_INFO) || {}
+    },
+  },
+
+  actions: {
+    setUserInfo(val: UserInfo) {
+      this.userInfo = val
+      useSetLocalCache<UserInfo>(val, USER_INFO)
+    },
+    clearUserInfo() {
+      useClearLocalCache(USER_INFO)
+      this.userInfo = null
+    },
+
+    setShowKey(val: boolean) {
+      this.showKey = val
+    },
+    setShowSecret(val: boolean) {
+      this.showSecret = val
+    },
+  },
+})
+
+// export function useUserStoreWithout() {
+//   return useUserStore(store)
+// }
diff --git a/AgentVerseWeb/src/style.css b/AgentVerseWeb/src/style.css
new file mode 100644
index 000000000..0192f9aac
--- /dev/null
+++ b/AgentVerseWeb/src/style.css
@@ -0,0 +1,81 @@
+:root {
+  font-family: Inter, Avenir, Helvetica, Arial, sans-serif;
+  font-size: 16px;
+  line-height: 24px;
+  font-weight: 400;
+
+  color-scheme: light dark;
+  color: rgba(255, 255, 255, 0.87);
+  background-color: #242424;
+
+  font-synthesis: none;
+  text-rendering: optimizeLegibility;
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  -webkit-text-size-adjust: 100%;
+}
+
+a {
+  font-weight: 500;
+  color: #646cff;
+  text-decoration: inherit;
+}
+a:hover {
+  color: #535bf2;
+}
+
+body {
+  margin: 0;
+  display: flex;
+  place-items: center;
+  min-width: 320px;
+  min-height: 100vh;
+}
+
+h1 {
+  font-size: 3.2em;
+  line-height: 1.1;
+}
+
+button {
+  border-radius: 8px;
+  border: 1px solid transparent;
+  padding: 0.6em 1.2em;
+  font-size: 1em;
+  font-weight: 500;
+  font-family: inherit;
+  background-color: #1a1a1a;
+  cursor: pointer;
+  transition: border-color 0.25s;
+}
+button:hover {
+  border-color: #646cff;
+}
+button:focus,
+button:focus-visible {
+  outline: 4px auto -webkit-focus-ring-color;
+}
+
+.card {
+  padding: 2em;
+}
+
+#app {
+  max-width: 1280px;
+  margin: 0 auto;
+  padding: 2rem;
+  text-align: center;
+}
+
+@media (prefers-color-scheme: light) {
+  :root {
+    color: #213547;
+    background-color: #ffffff;
+  }
+  a:hover {
+    color: #747bff;
+  }
+  button {
+    background-color: #f9f9f9;
+  }
+}
diff --git a/AgentVerseWeb/src/utils/debounce.ts b/AgentVerseWeb/src/utils/debounce.ts
new file mode 100644
index 000000000..454f9a11c
--- /dev/null
+++ b/AgentVerseWeb/src/utils/debounce.ts
@@ -0,0 +1,14 @@
+const debounce = (fn: Function, delay: number) => {
+    let timer: any = null;
+    let context:any = this;
+    return (...args: any) => {
+        if (timer) {
+            clearTimeout(timer);
+        } 
+        timer = setTimeout(() => {
+            fn.call(context, ...args);
+        }, delay);
+    };
+}
+
+export default debounce;
\ No newline at end of file
diff --git a/AgentVerseWeb/src/utils/mockRequest.ts b/AgentVerseWeb/src/utils/mockRequest.ts
new file mode 100644
index 000000000..ae2234ef7
--- /dev/null
+++ b/AgentVerseWeb/src/utils/mockRequest.ts
@@ -0,0 +1,8 @@
+import axios from 'axios'
+
+const service = axios.create({
+  baseURL: '/',
+  timeout: 5000
+})
+
+export default service
\ No newline at end of file
diff --git a/AgentVerseWeb/src/utils/throttle.ts b/AgentVerseWeb/src/utils/throttle.ts
new file mode 100644
index 000000000..c6b721f4c
--- /dev/null
+++ b/AgentVerseWeb/src/utils/throttle.ts
@@ -0,0 +1,29 @@
+// const throttle = (fn: Function, delay: number) => {
+//     let timer: any = null;
+//     let context: any = this;
+//     return (...args: any) => {
+//         if (timer) {
+//             return;
+//         }
+//         timer = setTimeout(() => {
+//             fn.call(context, ...args);
+//             timer = null;
+//         }, delay);
+//     };
+// } 
+// 基于计时器的节流
+
+const throttle = (fn: Function, delay: number) => {
+    let prev = Date.now();
+    let context: any = this;
+    return (...args: any) => {
+        let now = Date.now();
+        if (now - prev >= delay) {
+            fn.call(context, ...args);
+            prev = Date.now();
+        }
+    };
+}
+// 基于时间的节流
+
+export default throttle;
\ No newline at end of file
diff --git a/AgentVerseWeb/src/utils/uuid.ts b/AgentVerseWeb/src/utils/uuid.ts
new file mode 100644
index 000000000..68da72258
--- /dev/null
+++ b/AgentVerseWeb/src/utils/uuid.ts
@@ -0,0 +1,7 @@
+import { v4 as uuidv4 } from 'uuid';
+
+const generateRandomId = () => {
+  return uuidv4();
+}
+
+export default generateRandomId;
\ No newline at end of file
diff --git a/AgentVerseWeb/src/views/exception/404/index.vue b/AgentVerseWeb/src/views/exception/404/index.vue
new file mode 100644
index 000000000..53f145d0f
--- /dev/null
+++ b/AgentVerseWeb/src/views/exception/404/index.vue
@@ -0,0 +1,71 @@
+<template>
+  <section class="exception flex-column">
+    <div class="bg-text">
+      404
+      <img src="@/assets/images/404_images/404.svg" alt="" />
+    </div>
+    <span class="error-tip">
+      Error： The page you are visiting does not exist
+    </span>
+    <div class="button" @click="goHome">
+      Back Home
+    </div>
+  </section>
+</template>
+
+<script setup lang="ts">
+const router = useRouter()
+const goHome = () => {
+  router.push('/playground')
+}
+</script>
+
+<style scoped lang="scss">
+.exception {
+  width: 100vw;
+  height: 100vh;
+  // height: calc(100vh - 60px);
+  background-image: linear-gradient(180deg, #f4f3f8 0%, #eaedf6 100%);
+
+  .bg-text {
+    margin: 140px 0 80px;
+    font-family: MiSans-Semibold;
+    font-size: 240px;
+    color: rgba(119, 126, 145, 0.08);
+    letter-spacing: 0;
+    text-align: center;
+    line-height: 320px;
+    font-weight: 600;
+    position: relative;
+    img {
+      position: absolute;
+      left: 50%;
+      top: 50%;
+      transform: translate(-50%, -50%);
+    }
+  }
+  .error-tip {
+    margin: 0 auto 40px;
+
+    font-family: MiSans-Medium;
+    font-size: 18px;
+    color: #1c2848;
+    line-height: 24px;
+    font-weight: 500;
+  }
+
+  .button {
+    cursor: pointer;
+    margin: 0 auto;
+    padding: 4px 25px;
+
+    background: #3d4ac6;
+    border-radius: 2px;
+
+    font-family: PingFangSC-Regular;
+    font-size: 20px;
+    color: #ffffff;
+    line-height: 48px;
+  }
+}
+</style>
diff --git a/AgentVerseWeb/src/views/exception/mobile.vue b/AgentVerseWeb/src/views/exception/mobile.vue
new file mode 100644
index 000000000..ddcb0ad8d
--- /dev/null
+++ b/AgentVerseWeb/src/views/exception/mobile.vue
@@ -0,0 +1,50 @@
+<template>
+  <div class="exception-mobile flex-row">
+    <div class="logo flex-row flex-center">
+      <img src="@/assets/images/public/logo.png"
+      alt="" width="35" height="35" />
+    </div>
+    <span>API Open Platform</span>
+
+    <!-- 请在PC端进行访问试用 -->
+    <p class="tip">Please visit and try out on PC</p>
+  </div>
+</template>
+
+<script setup lang="ts"></script>
+
+<style scoped lang="scss">
+.exception-mobile {
+  padding: 12px;
+  align-items: center;
+  // flex-direction: column;
+  // justify-content: center;
+  // align-items: center;
+  gap: 6px;
+
+  margin-left: 8px;
+  font-family: PingFangSC-Semibold;
+  color: #1c2848;
+  line-height: 40px;
+  font-weight: 600;
+
+  .logo {
+    width: 33px;
+    height: 33px;
+    background: #3d4ac6;
+    border-radius: 83.33px;
+
+    img {
+      width: 35px;
+      height: 35px;
+      border-radius: 50%;
+    }
+  }
+  .tip {
+    position: absolute;
+    top: 50%;
+    left: 50%;
+    transform: translate(-50%, -50%);
+  }
+}
+</style>
diff --git a/AgentVerseWeb/src/views/login/component/ApplyForm.vue b/AgentVerseWeb/src/views/login/component/ApplyForm.vue
new file mode 100644
index 000000000..da0638466
--- /dev/null
+++ b/AgentVerseWeb/src/views/login/component/ApplyForm.vue
@@ -0,0 +1,459 @@
+<template>
+  <section class="apply flex-row flex-center">
+    <div class="form-box flex-row flex-column" :class="{
+      active:
+        form.corporation &&
+        form.email &&
+        form.industry &&
+        form.name &&
+        form.position,
+    }">
+      <div class="form-title flex-row">
+        <img src="" alt="" />
+        <!-- by zhpeng -->
+        <!-- <span>API open platform</span> -->
+        <b>AgentVerse</b>
+        <strong>Sign up</strong>
+        <span class="back" @click="goBack">
+          Back
+        </span>
+      </div>
+      <div class="form-content flex-column">
+        <div class="form-field" data-label="Name" :class="{
+            error: form.name === '' && isSubmit,
+            focus: focusType === 'name'
+          }">
+          <el-input v-model="form.name" placeholder="Your name（For review purposes only）" @focus="focusType = 'name'" />
+          <p class="form-field-label flex-row flex-center">
+            Name
+          </p>
+        </div>
+        <div class="form-field" data-label="Your Company/Collage Name"
+          :class="{ error: form.corporation === '' && isSubmit, focus: focusType === 'corporation' }">
+          <el-input v-model="form.corporation" @focus="focusType = 'corporation'" />
+          <p class="form-field-label flex-row flex-center">Company/Collage Name</p>
+        </div>
+        <div class="form-field" data-label="Industry"
+          :class="{ error: form.industry === '' && isSubmit, focus: focusType === 'industry' }">
+          <el-input v-model="form.industry" @focus="focusType = 'industry'" />
+          <p class="form-field-label flex-row flex-center">
+            Industry
+          </p>
+        </div>
+        <div class="form-field" data-label="Position"
+          :class="{ error: form.position === '' && isSubmit, focus: focusType === 'position' }">
+          <el-input v-model="form.position" @focus="focusType = 'position'" />
+          <p class="form-field-label flex-row flex-center">
+            Position
+          </p>
+        </div>
+
+        <div class="need-info flex-column">
+          <div class="need-info__title flex-center flex-row">
+            <span>
+              Please verify following information
+            </span>
+          </div>
+
+          <div class="form-field email" data-label="Company or school email" :class="{
+            error: (form.email === '' && isSubmit) || formState.emailState,
+            focus: focusType === 'email',
+            'format-error': formState.emailState,
+          }">
+            <el-input v-model="form.email" @focus="focusType = 'email'" @input="checkEmail" />
+            <p class="form-field-label-required flex-row flex-center">Company or school email</p>
+          </div>
+
+        </div>
+      </div>
+      <div class="form-footer flex-column">
+        <el-button class="submit-btn flex-row flex-center" :disabled="formState.emailState || isSignUpComplete"
+          :loading="isSignUpLoading" @click="submit">
+          Submit Application
+        </el-button>
+        <div class="tip" v-show="false">
+          Your Applying for using service constitutes your acceptance of the
+          <a target="_blank" href="/terms">
+            User Terms
+          </a> And <a target="_blank" href="/privacy">
+            Privacy Policy
+          </a>
+        </div>
+      </div>
+    </div>
+  </section>
+</template>
+
+<script setup lang="ts">
+import { ElMessage } from 'element-plus';
+
+const emits = defineEmits<{ (e: 'signupSuccess', data: boolean): void; (e: 'cancelSignup'): void }>()
+const props = withDefaults(defineProps<{ mobile: string | number; isShow?: boolean }>(), { mobile: '', isShow: false })
+const mobile = toRef(props, 'mobile')
+const form = reactive<any>({
+  name: '',
+  corporation: '',
+  position: '',
+  industry: '',
+  email: '',
+})
+
+const goBack = () => {
+  formState.emailState = false
+  focusType.value = 'name'
+  emits('signupSuccess', false)
+}
+
+const focusType = ref('name')
+const isSignUpLoading = ref(false)
+const formState = reactive({ emailState: false, mobileState: false })
+
+const codeTime = reactive({ smsCode: 0, emailCode: 0 })
+
+const getVerifyCode = async (type: string) => {
+  let res: any
+  if (type === 'mobile' && codeTime.smsCode === 0) {
+    checkPhone()
+    if (formState.mobileState) return
+    codeTime.smsCode = 59
+    const timer = setInterval(() => {
+      codeTime.smsCode--
+      if (codeTime.smsCode === 0) clearInterval(timer)
+    }, 1000)
+    res = await useMobileCodeRequest({ mobile: form.mobile, scene: 1 })
+  }
+
+  if (type === 'email' && codeTime.emailCode === 0) {
+    checkEmail()
+    if (formState.emailState) return
+    codeTime.emailCode = 59
+    const timer = setInterval(() => {
+      codeTime.emailCode--
+      if (codeTime.emailCode === 0) clearInterval(timer)
+    }, 1000)
+    res = await useEmailCodeRequest({ email: form.email })
+  }
+
+  if (res?.code === 0) {
+    ElMessage({ type: 'success', message: 'Verification code sent successfully' })
+  } else {
+    ElMessage({ type: 'error', message: (res?.message || 'Verification code sent failed') })
+  }
+}
+
+
+const checkPhone = () => {
+  formState.mobileState = !useValidPhone(form.mobile as string)
+}
+const checkEmail = () => {
+  formState.emailState = !useValidEmail(form.email)
+}
+
+const isSubmit = ref(false)
+const isSignUp = ref(false)
+const isSignUpComplete = ref(false)
+
+const submit = async () => {
+
+  const checkResult = Object.values(form).every((item: any) => item.length !== 0)
+
+  isSubmit.value = true
+
+  if (!checkResult) return
+
+  isSignUpLoading.value = true
+
+  if (formState.emailState) return
+  const res = await useSignUpRequest(form)
+
+  isSignUpLoading.value = false
+
+  if (res?.success === true) {
+    isSignUp.value = true
+    emits('signupSuccess', isSignUp.value)
+    isSignUpComplete.value = true
+    ElMessage({
+      type: 'success',
+      message: 'Please check your email for the verification and back to login page'
+    })
+  } else {
+    ElMessage({ type: 'error', message: (res?.message || 'Sign up failed') })
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.apply {
+  width: 100%;
+  overflow-y: auto;
+
+  .form-box {
+    background: #fff;
+    border-radius: 4px;
+    margin: 0 auto;
+    padding: 40px 64px 0;
+
+    .form-title {
+      justify-content: flex-start;
+      font-family: MiSans-Medium;
+      font-size: 18px;
+      color: #1c2848;
+      line-height: 24px;
+      font-weight: 500;
+      margin-bottom: 32px;
+
+      strong {
+        color: #3d4ac6;
+        margin-left: 10px;
+      }
+
+      .back {
+        font-size: 12px;
+        margin-left: auto;
+        cursor: pointer;
+        line-height: 1;
+        align-self: flex-end;
+        font-family: 'MiSans-Normal';
+      }
+    }
+
+    .form-content {
+      gap: 16px;
+
+      .form-field {
+        width: 320px;
+        border: 1px solid #eeeeee;
+        border-radius: 4px;
+        position: relative;
+
+        padding: 4px 12px 4px;
+
+        font-family: MiSans-Normal;
+        font-size: 16px;
+        color: #a4a9b6;
+        font-weight: 400;
+
+        // &::before {
+        //   user-select: none;
+        //   content: attr(data-label);
+        //   position: absolute;
+        //   top: -8px;
+        //   left: 12px;
+        //   background: #fff;
+        //   width: fit-content;
+        //   height: 16px;
+        //   box-shadow: none;
+        //   padding: 0 2px;
+
+        //   font-family: MiSans-Normal;
+        //   font-size: 12px;
+        //   color: #1f2937;
+        //   font-weight: 400;
+        // }
+
+        & .form-field-label-required {
+          gap: 4px;
+          user-select: none;
+          position: absolute;
+          top: -8px;
+          left: 12px;
+          font-family: MiSans-Normal;
+          font-size: 12px;
+          color: #1f2937;
+
+          background: #fff;
+          width: fit-content;
+          height: 16px;
+          box-shadow: none;
+          padding: 0 2px;
+
+          &::before {
+            content: '*';
+            color: red;
+            position: relative;
+            height: 12px;
+            top: 50%;
+            transform: translateY(-50%);
+          }
+        }
+
+        & .form-field-label {
+          gap: 4px;
+          user-select: none;
+          position: absolute;
+          top: -8px;
+          left: 12px;
+          font-family: MiSans-Normal;
+          font-size: 12px;
+          color: #1f2937;
+
+          background: #fff;
+          width: fit-content;
+          height: 16px;
+          box-shadow: none;
+          padding: 0 2px;
+
+        }
+
+        &:focus {
+          outline: none;
+        }
+
+        :deep(.el-input__wrapper) {
+          padding: 0;
+          box-shadow: none;
+
+          &.is-focus {
+            box-shadow: none;
+          }
+
+          .el-input__inner {
+            height: 38px;
+          }
+
+          .el-input__inner::placeholder {
+            font-family: MiSans-Normal;
+            font-size: 12px;
+            color: #a4a9b6;
+            font-weight: 400;
+          }
+        }
+
+        .verify-code {
+          user-select: none;
+          width: min-content;
+          white-space: nowrap;
+          align-self: center;
+
+          font-family: MiSans-Normal;
+          font-size: 14px;
+          color: #a4a9b6;
+
+          &.active,
+          &:hover {
+            color: #1f2937;
+          }
+        }
+      }
+
+      .form-field.focus {
+        border-color: #3d4ac6;
+        box-shadow: 0 0 2px 0 rgba(61, 74, 198, 0.4);
+      }
+
+      .form-field.error {
+        border-color: red;
+        box-shadow: 0 0 2px 0 rgb(255 0 0 / 40%);
+      }
+
+      .form-field.disabled {
+        background-color: #f5f7fa;
+
+        &::before {
+          background-color: transparent;
+          background: linear-gradient(0deg, #f5f7fa 0 56%, transparent 52% 100%);
+        }
+      }
+
+      .form-field.format-error {
+        display: flex;
+        align-items: center;
+        gap: 8px;
+
+        &::after {
+          content: 'Wrong email address format';
+          white-space: nowrap;
+          color: red;
+          font-family: MiSans-Normal;
+          font-size: 12px;
+        }
+      }
+
+      .form-field.mobile.format-error::after {
+        content: 'Wrong phone number format';
+        font-size: 12px;
+        white-space: nowrap;
+        color: red;
+        font-family: MiSans-Normal;
+        font-size: 12px;
+      }
+
+      .need-info {
+        gap: 24px;
+        margin-top: 8px;
+
+        .need-info__title {
+          font-family: MiSans-Normal;
+          font-size: 16px;
+          color: #a4a9b6;
+          background: linear-gradient(90deg, #eee 0 30%, transparent 30% 70%, #eee 70%);
+          background-size: 100% 1px;
+          background-repeat: no-repeat;
+          background-position: center;
+
+          span {
+            background: #fff;
+            padding: 0 8px;
+            font-size: 12px !important;
+          }
+        }
+      }
+    }
+
+    .form-footer {
+      gap: 24px;
+      padding-bottom: 16px;
+
+      .submit-btn {
+        cursor: pointer;
+        background: #a0a2b4;
+        border-radius: 4px;
+        width: 320px;
+        height: 50px;
+        margin-top: 24px;
+
+        font-family: MiSans-Normal;
+        color: #ffffff;
+
+        // &:hover {
+        //   // background: #6a6fa4;
+        // }
+      }
+
+      .tip {
+        font-family: MiSans-Normal;
+        font-size: 12px;
+        color: #1c2848;
+        text-align: center;
+        line-height: 16px;
+        font-weight: 400;
+        width: 320px;
+
+        a {
+          cursor: pointer;
+          font-family: MiSans-Normal;
+          font-size: 12px;
+          color: #1c2848;
+          text-align: center;
+          line-height: 16px;
+          font-weight: 400;
+          text-decoration: underline;
+        }
+      }
+    }
+  }
+
+  .form-box.active {
+    .submit-btn {
+      background: #3d4ac6;
+    }
+  }
+}
+
+
+
+p.verify-code {
+  font-size: 12px !important;
+  color: #7896e2 !important;
+}
+</style>
diff --git a/AgentVerseWeb/src/views/login/login.vue b/AgentVerseWeb/src/views/login/login.vue
new file mode 100644
index 000000000..20fdcf457
--- /dev/null
+++ b/AgentVerseWeb/src/views/login/login.vue
@@ -0,0 +1,530 @@
+<template>
+  <section class="login-wrapper flex-row" :class="{ 'show-form': isShowForm }">
+    <section class="login flex-column flex-center">
+      <div class="login-box flex-column">
+        <div class="login-title">AgentVerse</div>
+
+        <div v-if="isSignup" class="signup-wrapper flex-column">
+          <span>{{ loginForm.email }}</span>
+          <span class="msg">
+            Your registration is successful and is being queued.
+            After the review is passed,
+            we will invite you to experience it by text message as soon as possible.
+          </span>
+
+          <div class="main-btn flex-row flex-center" @click="backHome">
+            Back Home
+          </div>
+        </div>
+
+        <div v-else class="login-form flex-column">
+          <div class="input-box flex-row"
+            :data-error="!isExistPhone ? loginFormStatus.email.code[mobileCode] : 'Wrong phone number format'" :class="[
+              { focus: focusType === 'email' },
+              { empty: loginFormStatus.email.isRequired },
+              { 'format-error': loginFormStatus.email.isFormatError && !loginFormStatus.email.isRequired },
+            ]">
+            <input v-model="loginForm.email" type="text" class="plain-input email-input"
+              placeholder="Enter your email address please" autocomplete="off" @focus="focusType = 'email'"
+              @blur="focusType = ''" @input="changePhone" />
+          </div>
+          <div class="input-box flex-row" data-error="Wrong verification code format" :class="[
+            { empty: loginFormStatus.code.isRequired },
+            { disabled: !isExistPhone },
+          ]">
+            <input v-model="loginForm.token" class="plain-input code-input" type="password"
+              placeholder="Enter your email token please" autocomplete="off" @blur="focusType = ''"
+              @keydown.enter="throttledSubmit" />
+            <p class="verify-code" v-show="false" :style="codeTime.smsCode === 0 ? 'cursor:pointer' : ''"
+              @click="getVerifyCode">
+              {{ codeTime.smsCode === 0 ? 'Get SMS verification code' : `Resend in (${codeTime.smsCode}s)` }}
+            </p>
+          </div>
+
+          <el-button class="main-btn flex-row flex-center" @click="throttledSubmit" :loading="isSubmitLoading">
+            Login
+          </el-button>
+
+          <div v-show="false" class="main-btn flex-row flex-center" @click="registerNow">
+            申请
+          </div>
+        </div>
+
+        <div class="plain-row flex-row">
+          <span style="margin-right: 10px;">No account yet? </span>
+          <span class="link-btn" @click="showApplyForm">Sign up</span>
+        </div>
+        <!-- TODO: 暂不提供OpenAI api-key 接口, by zhpeng -->
+        <!-- <div class="plain-row flex-row">
+          <span style="margin-right: 10px;">Have an OpenAI token already? </span>
+          <span class="link-btn" @click="freeTrial">Registration-Free Trial</span>
+        </div> -->
+
+        <!-- TODO: 微信登录 -->
+        <div class="tip" v-show="false">
+          Your applying for registration constitutes your acceptance of our
+          <a target="_blank" href="javascript:void(0)">
+            Terms of Service
+          </a> And
+          <a target="_blank" href="javascript:void(0)">
+            Privacy Policy
+          </a>
+        </div>
+      </div>
+
+      <!-- <div class="beian flex-row">
+        <a href="http://beian.miit.gov.cn/" target="_blank">京ICP备2023004350号-1</a>
+      </div> -->
+    </section>
+    <section class="apply-form">
+      <ApplyForm :mobile="loginForm.email" @signup-success="signupSuccess" />
+    </section>
+  </section>
+</template>
+
+<script setup lang="ts">
+import { ElMessage } from 'element-plus';
+import { reactive, ref } from 'vue';
+import ApplyForm from './component/ApplyForm.vue';
+import throttle from '/@/utils/throttle';
+
+const router = useRouter()
+const userStore = useUserStore()
+const authStore = useAuthStore()
+
+interface LoginFormInf {
+  email: string
+  token: string
+}
+
+const isSubmitLoading = ref(false)
+
+const DEFAULT_ACCOUNT = 'admin'
+const DEFAULT_PSWD = 'agentverse-admin'
+
+const loginForm = reactive<LoginFormInf>({
+  email: DEFAULT_ACCOUNT,
+  token: DEFAULT_PSWD,
+  // email: "",
+  // token: "",
+})
+
+const loginFormStatus: any = reactive({
+  email: {
+    isRequired: false,
+    isFormatError: false,
+    errorMsg: 'Wrong phone number format',
+    code: {
+      1017: 'Unregistered, please apply for registration',
+      1021: 'Reviewing',
+      1014: 'Wrong phone number format',
+    },
+  },
+  code: { isRequired: false, isFormatError: false },
+})
+const isSubmit = ref(false)
+const focusType = ref<keyof LoginFormInf | ''>('')
+const error = reactive({ email: false, code: false })
+
+const mobileCode = ref(0)
+const isExistPhone = ref(true)
+
+const changePhone = async () => {
+  // loginFormStatus.code.isFormatError = false
+  // loginFormStatus.code.isRequired = false
+  // if (loginForm.email.length === 11) {
+  //   // TODO: 检验电话号码是否存在
+  //   const res: any = await useCheckPhoneRequest({ mobile: loginForm.email })
+
+  //   if (res?.code !== 0) {
+  //     mobileCode.value = res?.code
+  //     isExistPhone.value = false
+  //     loginFormStatus.email.isFormatError = true
+  //   } else {
+  //     isExistPhone.value = true
+  //     loginFormStatus.email.isFormatError = false
+  //   }
+  // } else {
+  //   loginFormStatus.email.isFormatError = false
+  // }
+}
+
+const registerNow = async () => {
+  const res: any = await useRegisterRequest({
+    email: loginForm.email,
+    name: '张三'
+  });
+  if (res?.success) {
+    ElMessage({ type: 'success', message: 'Register successfully' })
+    localStorage.setItem('token', res.data.token);
+    loginForm.token = res.data.token;
+  } else if (res?.status === 'failed') {
+    ElMessage({ type: 'error', message: 'Failed to register' })
+  } else {
+    ElMessage({ type: 'error', message: res?.message })
+  }
+}
+
+const codeTime = reactive({ smsCode: 0 })
+const getVerifyCode = async () => {
+  // if (!isExistPhone || codeTime.smsCode !== 0) return
+
+  // loginFormStatus.email.isRequired = loginForm.email === ''
+  // if (loginFormStatus.email.isRequired) return
+  // loginFormStatus.email.isFormatError = !useValidPhone(loginForm.email)
+  // if (loginFormStatus.email.isFormatError) return
+
+  // codeTime.smsCode = 59
+  // const timer = setInterval(() => {
+  //   codeTime.smsCode--
+  //   if (codeTime.smsCode === 0) clearInterval(timer)
+  // }, 1000)
+  // // TODO: 获取验证码
+  const res: any = await useMobileCodeRequest({ mobile: loginForm.email, scene: 2 })
+  if (res?.code === 0) {
+    ElMessage({ type: 'success', message: 'Send successfully' })
+      ; (document.querySelector('.code-input') as HTMLElement)?.focus()
+  } else {
+    ElMessage({ type: 'error', message: (res?.message || 'Send failed') })
+  }
+}
+
+const freeTrial = () => {
+  let _T = prompt("Please enter your OpenAI token", "");
+  if (_T != null) {
+    // reg validate the token 
+    console.log(_T);
+    // if token is valid, then login and mock user info
+  } else {
+    ElMessage({ type: 'error', message: 'Your OpenAI token is invalid' });
+  }
+}
+
+const isShowForm = ref(false)
+const showApplyForm = () => {
+  isShowForm.value = true
+}
+
+
+const submit = async () => {
+
+  if (!isExistPhone.value) return
+
+  isSubmitLoading.value = true
+
+  loginFormStatus.email.isRequired = loginForm.email === ''
+  loginFormStatus.code.isRequired = loginForm.token === ''
+
+  // if (!useValidPhone(loginForm.email)) {
+  //   loginFormStatus.email.isFormatError = true
+  //   return
+  // } else {
+  //   loginFormStatus.email.isFormatError = false
+  // }
+
+  // if (
+  //   loginFormStatus.email.isRequired ||
+  //   loginFormStatus.email.isFormatError ||
+  //   loginFormStatus.code.isRequired ||
+  //   loginFormStatus.code.isFormatError
+  // ) {
+  //   return
+  // }
+
+  const param = {
+    email: loginForm.email,
+    token: loginForm.token,
+  }
+
+  const res: any = await useLoginRequest(param);
+  isSubmitLoading.value = false
+
+  if (res?.success || res?.message === 'success') {
+
+    userStore.setUserInfo(res?.data)
+    authStore.setLoginState(true)
+    authStore.setLoginToken(res?.data?.token)
+
+    ElMessage({ type: 'success', message: 'Login successfully' })
+    router.push({ path: '/playground' })
+  } else {
+    ElMessage({ type: 'error', message: (res?.message || 'Login failed') })
+  }
+}
+
+// const throttledSubmit = throttle(submit, 4000)
+const throttledSubmit = submit
+
+
+const backHome = () => {
+  router.push({ path: '/' })
+}
+
+const isSignup = ref(false)
+const signupSuccess = (state: boolean) => {
+  isShowForm.value = false
+  if (state) {
+    isSignup.value = true
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.login-wrapper {
+  min-height: 100%;
+  height: 100%;
+  overflow: hidden;
+  background: linear-gradient(180deg, #f4f3f8 0%, #eaedf6 100%);
+}
+
+.login-wrapper.show-form {
+  .login {
+    transform: translateX(-100%);
+  }
+
+  .apply-form {
+    transform: translateX(-100%);
+  }
+}
+
+.login {
+  margin: auto;
+  flex-shrink: 0;
+  width: 100%;
+  // height: 100%;
+  height: 100vh;
+  transform: none;
+  transition: transform 0.2s ease-in 0.1s;
+
+  .login-box {
+    background: rgba(255, 255, 255, 0.72);
+    border-radius: 4px;
+    margin: 0 auto;
+    padding: var(--size-2448) 64px 1rem;
+    width: 100%;
+    max-width: 600px;
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    justify-content: flex-start;
+
+    .login-title {
+      margin-block-end: var(--size-1632);
+      width: 100%;
+      font-family: MiSans-Medium;
+      font-size: 30px;
+      color: var(--color-1);
+      text-align: center;
+      font-weight: var(--font-weight-5);
+    }
+
+    .signup-wrapper {
+      gap: 20px;
+      margin-block-end: 48px;
+      font-family: MiSans-Normal;
+      font-size: 16px;
+      color: #1f2937;
+
+
+      .msg {
+        width: 320px;
+        margin: 0 auto;
+        color: #a4a9b6;
+      }
+    }
+
+    .login-form {
+      gap: 20px;
+      margin-block-end: 48px;
+      width: 100%;
+      text-align: center;
+
+      .input-box {
+        width: 100% !important;
+        min-width: 280px;
+        max-width: 400px;
+        // padding: 14px 12px;
+        border: 1px solid #eeeeee;
+        border-radius: 4px;
+        position: relative;
+        margin: 0 auto;
+
+        input {
+          width: 100% !important;
+          margin: 0 auto;
+          flex: 1;
+          padding: 14px 12px;
+          border: 0;
+          background: transparent;
+          font-family: MiSans-Normal;
+          font-weight: 400;
+          line-height: 22px;
+
+          &::-webkit-input-placeholder {
+            color: #a4a9b6;
+          }
+
+          &:focus-visible {
+            outline: none;
+          }
+        }
+
+        .verify-code {
+          user-select: none;
+          width: min-content;
+          white-space: nowrap;
+          margin: 0 12px;
+          align-self: center;
+
+          font-family: MiSans-Normal;
+          font-size: 14px;
+          color: #a4a9b6;
+        }
+      }
+
+      .input-box.focus {
+        border-color: #3d4ac6;
+        box-shadow: 0 0 2px 0 rgba(61, 74, 198, 0.4);
+      }
+
+      .input-box.format-error {
+        &::after {
+          content: attr(data-error);
+          position: absolute;
+          right: 0;
+          top: 50%;
+          transform: translateY(-50%);
+
+          color: var(--color-danger);
+          font-size: 14px;
+          padding: 0 12px;
+        }
+      }
+
+      .input-box.empty {
+        input:empty::-webkit-input-placeholder {
+          color: var(--color-danger);
+        }
+      }
+
+      .input-box.submit {
+        input:empty::-webkit-input-placeholder {
+          color: var(--color-danger);
+        }
+      }
+
+      .input-box.disabled {
+        color: #a4a9b6;
+
+        input {
+          color: #a4a9b6;
+        }
+
+        &::before {
+          content: '';
+          position: absolute;
+          width: 100%;
+          height: 100%;
+          background: rgb(0 0 0 / 10%);
+        }
+      }
+    }
+
+    .main-btn {
+      margin: 10px auto 0 auto;
+      cursor: pointer;
+      user-select: none;
+      background: #3d4ac6;
+      border-radius: 4px;
+      width: 100%;
+      max-width: 400px;
+      min-width: 280px;
+      height: 50px;
+      font-family: MiSans-Normal;
+      color: #ffffff;
+    }
+
+    .plain-row {
+      width: 100%;
+      justify-content: center;
+      margin-bottom: 12px;
+
+      font-family: MiSans-Normal;
+      font-size: 16px;
+      color: #777e91;
+      line-height: 22px;
+
+      .link-btn {
+        cursor: pointer;
+        color: #1f2937;
+        text-decoration: underline;
+      }
+    }
+
+    .tip {
+      font-family: MiSans-Normal;
+      font-size: 12px;
+      color: #6f7481c0;
+      text-align: center;
+      line-height: 16px;
+      font-weight: 400;
+      margin-top: 10px;
+      max-width: 350px;
+
+      a {
+        cursor: pointer;
+        font-family: MiSans-Normal;
+        font-size: 12px;
+        color: #1c2848;
+        text-align: center;
+        line-height: 16px;
+        font-weight: 400;
+        text-decoration: underline;
+      }
+    }
+  }
+
+  .beian {
+    position: absolute;
+    bottom: 20px;
+    left: 50%;
+    transform: translateX(-50%);
+
+    font-family: PingFangSC-Regular;
+    font-size: 12px;
+    font-weight: 400;
+
+    gap: 24px;
+
+    a {
+      color: #ccc;
+      text-decoration: none;
+    }
+
+    a:active {
+      color: #eee;
+    }
+  }
+}
+
+.apply-form {
+  width: 100%;
+  height: 100%;
+  flex-shrink: 0;
+  transform: none;
+  transition: transform 0.3s ease-in;
+
+  overflow-y: auto;
+  padding: 40px 0;
+  margin: auto;
+}
+
+input::placeholder {
+  font-size: 12px;
+}
+
+p.verify-code {
+  font-size: 12px !important;
+  color: #7896e2 !important;
+}
+</style>
diff --git a/AgentVerseWeb/src/views/playground/chat.vue b/AgentVerseWeb/src/views/playground/chat.vue
new file mode 100644
index 000000000..9e349bfee
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/chat.vue
@@ -0,0 +1,1118 @@
+<template>
+  <section class="container-box flex-column">
+    <div ref="listRef" class="history-list flex-column">
+      <template v-for="({ content, msgID, role, isLatest }, index) in chatMsgInfo" :key="index">
+        <TransitionGroup name="message" tag="div">
+          <div v-if="role === 'USER'" class="input flex-row">
+            <img src="@/assets/images/playground/userAvatar.svg" alt="message" />
+            <div class="user-content-border">
+              <span> <strong>task_description: </strong>{{ content.task_des }} </span>
+              <div class="divider"></div>
+              <span> <strong>cnt_agents: </strong>{{ content.cnt_agents }} </span>
+            </div>
+          </div>
+
+          <div v-else-if="role === 'AI'" class="result typed-box flex-row">
+            <!-- <img class="avatar  round-corner-logo" alt="logo" width="52" height="52"
+              src="@/assets/images/playground/main-logo-avatar.png" /> -->
+            <div class="content">
+              <Tab :ref="tabchildList" :conversationId="conversationId" :key="msgID" :mode="remSetting?.mode || 'auto'"
+                @disconnect="disConnectWebsocket" @runSubtask="RunNextSubtask" @runInner="RunNextinnerNode"
+                :isLatest="isLatest" :pageMode="pageMode" />
+            </div>
+            <div class="feedback-wrapper flex-row">
+              <span v-if="isTaskCompleted" class="complete-tip">
+                The Task is completed
+              </span>
+              <!-- <Feedback :data="{ content, msgID, role, conversationId, feedbackMsg, rating }" @evaluate-success="evaluateSuccess" /> -->
+            </div>
+          </div>
+        </TransitionGroup>
+      </template>
+    </div>
+    <div class="input-border flex-column">
+      <div class="input-box" v-show="chatMsgInfo.length <= 0">
+        <TalkInput :is-progress="isShowTyped" @send-message="sendMessage" />
+        <canvas class="watermark" style="opacity: 0;"></canvas>
+      </div>
+      <!-- <div
+          class="input-box refresh-btn-border"
+          v-show="chatMsgInfo.length > 0"
+        >
+        <el-button
+          class="refresh-btn flex-center flex-row"
+          @click="regenerate"
+          disabled
+          >
+              <img class="refresh-icon"
+                src ="@/assets/images/playground/refreshNew.svg"
+                alt="refresh" />
+              Regenerate
+        </el-button>
+      </div> -->
+      <div class="warning flex-row"><a href="" target="_blank">
+          Disclaimer: The content is probabilistically generated by the model,
+          and does NOT represent the developer's viewpoint
+        </a></div>
+    </div>
+  </section>
+</template>
+
+<script setup lang="ts">
+// import DOMPurify from 'dompurify'
+import MarkdownIt from 'markdown-it'
+import hljs from 'highlight.js'
+import { watch, nextTick, ref, unref, onMounted, getCurrentInstance, onBeforeUnmount } from 'vue'
+import 'highlight.js/styles/github-dark.css'
+import { HistoryListInf, IChatRequest, ChatMsgInfoInf } from '/#/talk-type'
+// import { useInitWaterMark } from '/@/composables/useUtil'
+// import { useChatRequest } from '/@/composables/useApi'
+import { getDataApi, refreshDataApi } from '/@/mockApi/index'
+import { nanoid } from 'nanoid'
+import { ElMessage } from 'element-plus'
+import Tab from './components/Tab.vue';
+import BACKEND_URL from '/@/api/backend'
+import generateRandomId from "/@/utils/uuid";
+import TaskRefineInfo from './components/TaskRefineInfo.vue'
+
+const { proxy: global_instance } = getCurrentInstance() as any
+
+const route = useRoute()
+const router = useRouter()
+
+// 根据conversionId查询历史对话
+
+const chatMsgInfo = ref<ChatMsgInfoInf[]>([])
+
+const messagingDebounceTimer = ref<any>(null)
+
+const configStore = useConfigStore()
+const {
+  filelist: fileListConfig,
+} = storeToRefs(configStore)
+const chatMsgInfoStore = useHistoryTalkStore()
+const { currentInput, isRequestingAi } = storeToRefs(chatMsgInfoStore)
+
+let ws: WebSocket | null = null;
+
+let pageMode = computed(() => {
+  if (!route.query || !route.query.mode) {
+    if (route.params && route.params.mode) {
+      return route.params.mode as string;
+    }
+  }
+  return route.query.mode as string || '';
+}); // 从其他页面跳转进来，是回放模式 还是浏览模式 还是开启一个新对话
+
+
+// if (pageMode.value === "recorder") {
+//   chatMsgInfoStore.setCurrentInput({ task_des: 'Record Playing', cnt_agents: '3' });
+// }
+
+console.log("route.params = ", route.params)
+
+
+let conversationId = computed(() => {
+  switch (pageMode.value) {
+    case 'playback':
+      return route.params.id as string || '';
+      break;
+
+    case 'runshared':
+      return route.params.id as string || '';
+      break;
+
+    case 'review':
+      return route.query.id as string || '';
+      break;
+
+    case 'new':
+      return route.params.id as string;
+      break;
+
+    case 'recorder':
+      return route.params.id as string;
+      break;
+
+    default:
+      // router.push('/playground')
+      return '';
+      break;
+  }
+})
+
+const refList = ref<Nullable<any>[]>([]);
+const tabchildList = (el: any) => {
+  if (el) {
+    refList.value.push(el);
+  }
+};
+
+
+// if(!route.params.mode && !route.query?.mode) {
+//   router.push('/playground')
+// }
+
+
+const roundStore = useRoundStore();
+const roundInfo = storeToRefs(roundStore);
+
+const userStore = useUserStore()
+const { userInfo } = storeToRefs(userStore)
+userInfo.value = userStore.getUserInfo;
+
+const {
+  historyArr: ChatHistoryArr
+} = storeToRefs(chatMsgInfoStore);
+
+const sharedTalksArr = computed(() => chatMsgInfoStore.getSharedArr);
+
+const currentItem = computed(() => {
+  const _chat_history_arr = ChatHistoryArr?.value || [];
+  const _shared_talks_arr = sharedTalksArr?.value || []
+  const arr = pageMode.value === 'runshared' ? _shared_talks_arr : _chat_history_arr;
+  return arr?.find(
+    (item: any) => item.interaction_id === conversationId.value);
+});
+
+chatMsgInfo.value = [
+  {
+    content: currentItem.value?.parameters[0]?.goal || chatMsgInfoStore.getCurrentInput,
+    msgID: nanoid(),
+    parentMsgID: '',
+    role: 'USER',
+    isLatest: true
+  },
+  {
+    content: { task_des: '', cnt_agents: '' },
+    msgID: currentItem.value?.interaction_id || '',
+    parentMsgID: '',
+    role: 'AI',
+    isLatest: true
+  }
+]
+
+// 判断当前会话是不是历史会话 如果不是的话，则设置获取没有设置conversationId的记忆设置
+const setting = chatMsgInfoStore.getSetting(conversationId.value)
+const remSetting = chatMsgInfoStore.getSetting('config')
+
+
+// roundStore.setAutoMode(remSetting?.mode === 'auto');
+
+const {
+  isCompleted: isTaskCompleted
+} = storeToRefs(roundStore);
+
+const {
+  subrounds: subRounds
+} = storeToRefs(roundStore);
+
+
+const stateMap = new Map([
+  [WebSocket.CONNECTING, 'CONNECTING'],
+  [WebSocket.OPEN, 'OPEN'],
+  [WebSocket.CLOSING, 'CLOSING'],
+  [WebSocket.CLOSED, 'CLOSED'],
+]) as Map<number, string>;
+
+// TODo: when ws closed , stop loading;
+
+const handleConnectFailNotification = (msg: string) => {
+  roundStore.reset();
+  ElMessage({
+    type: 'error',
+    message: msg || 'Connection failed, please try again later.'
+  })
+};
+
+const handleFinish = () => {
+  roundStore.completeSubround();
+  if (ws && ws.readyState === 1) {
+    ws.close();
+  }
+  ElMessage({
+    type: 'success',
+    message: 'Your task is completed.'
+  })
+};
+
+const handleEvaluation = () => {
+
+  ElMessage({
+    type: 'error',
+    message: 'Your task needs to be further resolved.'
+  })
+};
+
+const RunNextSubtask = (data: string) => {
+  const query_params = JSON.stringify({
+    type: "data",
+    args: {
+      goal: data,
+    },
+    // agent: remSetting?.agent,
+    // mode: remSetting?.mode,
+  });
+  if (ws && ws.readyState === WebSocket.OPEN) {
+    ws?.send(query_params);
+  }
+};
+
+
+const user_id = userInfo?.value?.user_id as string;
+const token = userInfo?.value?.token as string;
+const chatIdFromRoute = computed(() => {
+  return (route.params.id);
+});
+
+const protocol = window.location.protocol === 'https:' ? 'wss:' : 'ws:';
+
+const recorder_dir = sessionStorage.getItem('rec');
+if (recorder_dir) {
+  sessionStorage.removeItem('rec');
+}
+const plainUrl = `${protocol}//${BACKEND_URL.replace('https://', '').replace('http://', '')
+  }/ws/${conversationId.value}?user_id=${user_id}&token=${token}&description=${currentInput.value.task_des.substring(0, 26)}`;
+
+// const playbackUrl = `${protocol}//${BACKEND_URL.replace('https://', '').replace('http://', '')
+//   }/ws_replay/${conversationId.value
+//   }?user_id=${user_id}&token=${token}`;
+
+// const recordUrl = `${protocol}//${BACKEND_URL.replace('https://', '').replace('http://', '')
+//   }/ws_do_recorder?user_id=${user_id}&token=${token}&recorder_dir=${recorder_dir}`;
+
+// const runShareUrl = `${protocol}//${BACKEND_URL.replace('https://', '').replace('http://', '')
+//   }/ws_share/${conversationId.value
+//   }?user_id=${user_id}&token=${token}`;
+
+const RunNextinnerNode = (data: any) => {
+  const query_params = JSON.stringify({
+    type: "data",
+    args: {
+      ...data,
+    },
+    agent: remSetting?.agent,
+    mode: remSetting?.mode,
+  });
+
+  if (ws && ws.readyState === WebSocket.OPEN) {
+    ws?.send(query_params);
+  }
+};
+
+const pingKeepAlive = () => {
+  const ping = JSON.stringify({
+    type: 'ping'
+  });
+  if (ws && ws.readyState === WebSocket.OPEN) {
+    ws?.send(ping);
+  }
+};
+
+const disConnectWebsocket = () => {
+  const data = {
+    type: "disconnect"
+  }
+  if (ws && ws.readyState === WebSocket.OPEN) {
+    ws?.send(JSON.stringify(data));
+  }
+  if (ws && ws.readyState === 1) {
+    ws.close();
+  }
+  ws = null;
+}
+
+const scrollToBottom = () => {
+  nextTick(() => {
+    if (listRef.value) listRef.value!.scrollTop = listRef.value?.scrollHeight || 0
+  })
+}
+
+const sendConnectType = () => {
+  const data = {
+    type: 'connect',
+  }
+  if (ws && ws.readyState === WebSocket.OPEN) {
+    ws?.send(JSON.stringify(data));
+  }
+}
+
+const wsMessageHandler = (data: any) => {
+  const { status } = data;
+
+  // if(isCompleted.value) {
+  //   return;
+  // }
+  const tabRefArr = refList.value;
+  const tabchild = tabRefArr[tabRefArr.length - 1];
+
+  if (data.success === false) {
+    ElMessage({
+      type: 'error',
+      message: data.message
+    })
+    disConnectWebsocket();
+    // router.push('/playground')
+    return;
+  }
+
+  // if (data.type = 'pong') {
+  //   pingKeepAlive();
+  // }
+
+  switch (status) {
+    case 'start':
+      console.log("!!! start wsMessageHandler: ", data)
+      roundStore.initializeRounds(data.data);
+      console.log("!!! start wsMessageHandler subround: ", roundStore.subrounds)
+      break;
+
+    case 'stage':
+      console.log("!!! stage wsMessageHandler: ", data)
+      console.log("!!! stage this subrounds recruitment: ", roundStore.subrounds[roundStore.current_subround_index].recruitment)
+      console.log("!!! stage this current_index: ", roundStore.current_subround_index)
+      roundStore.addPipeline(data.data);
+      console.log("!!! stage this subrounds ds: ", roundStore.subrounds[roundStore.current_subround_index].decision_make)
+      console.log("!!! stage this subrounds action: ", roundStore.subrounds[roundStore.current_subround_index].aciton_exectuion)
+      console.log("!!! stage this subrounds evaluation: ", roundStore.subrounds[roundStore.current_subround_index].evaluation)
+      break;
+    case 'subround':
+      console.log("!!! subround wsMessageHandler: ", data)
+      roundStore.addSubround(data.data)
+      break;
+
+    case 'refinement':
+      console.log("!!! refinement wsMessageHandler: ", data)
+      roundStore.addRefinementInfo(data.data)
+      handleEvaluation()
+      break;
+
+    case 'finished':
+      console.log("!!! finished wsMessageHandler: ", data)
+      roundStore.addRefinementInfo(data.data)
+      handleFinish();
+      disConnectWebsocket();
+      break;
+
+    case 'failed':
+      handleConnectFailNotification(data?.message);
+      disConnectWebsocket();
+      break;
+
+    case 'connect':
+      sendConnectType();
+      break;
+
+    default:
+      break;
+  }
+};
+
+const newTalkConnection = () => {
+  roundStore.reset();
+  const query_params = {
+    type: "data",
+    args: {
+      goal: currentInput,
+      // fileList 
+    },
+    file_list: fileListConfig.value
+  };
+  ws = new WebSocket(plainUrl);
+  ws.onmessage = (e) => {
+    const data = JSON.parse(e.data);
+    wsMessageHandler(data);
+  }
+  ws.onclose = function (e) {
+    console.log('websocket 断开: ' + e.code + ' ' + e.reason + ' ' + e.wasClean)
+    console.log(e)
+  }
+  ws.onerror = (e) => {
+    console.log("ws.onerror");
+  }
+  ws.onopen = () => {
+    if (ws && ws.readyState === WebSocket.OPEN) {
+      ws.send(JSON.stringify(query_params));
+    }
+  }
+}
+
+// 输入回答
+const sendMessage = async (val: { task_des: string, cnt_agents: string }) => {
+  currentInput.value.task_des = val.task_des
+  currentInput.value.cnt_agents = val.cnt_agents
+  chatMsgInfo.value = [
+    {
+      content: val,
+      msgID: nanoid(),
+      parentMsgID: '',
+      role: 'USER',
+      isLatest: true
+    },
+    {
+      content: { task_des: '', cnt_agents: '' },
+      msgID: nanoid(),
+      parentMsgID: '',
+      role: 'AI',
+      isLatest: true
+    }
+  ]
+
+
+  nextTick(() => (listRef.value!.scrollTop = listRef.value?.scrollHeight || 0))
+  return Promise.resolve()
+}
+
+
+// const runSharedConnection = () => {
+//   if (!conversationId.value) {
+//     console.log("conversationId.value is null");
+//     return;
+//   }
+//   const query_params = {
+//     type: "shared"
+//   }
+//   roundStore.setAutoMode(true);
+//   ws = new WebSocket(runShareUrl);
+//   ws.onmessage = (e) => {
+//     const data = JSON.parse(e.data);
+//     wsMessageHandler(data);
+//   }
+//   ws.onerror = (e) => {
+//     console.log("ws.onerror");
+//   }
+//   ws.onopen = () => {
+//     if (chatIdFromRoute.value && ws && ws.readyState === WebSocket.OPEN) {
+//       ws?.send(JSON.stringify(query_params));
+//     }
+//   }
+// }
+
+
+// const playbackConnection = () => {
+//   if (!conversationId.value) {
+//     console.log("conversationId.value is null");
+//     return;
+//   }
+//   const query_params = {
+//     type: "replay"
+//   }
+//   roundStore.setAutoMode(true);
+//   ws = new WebSocket(playbackUrl);
+//   ws.onmessage = (e) => {
+//     const data = JSON.parse(e.data);
+//     wsMessageHandler(data);
+//   }
+//   ws.onerror = (e) => {
+//     console.log("ws.onerror");
+//   }
+//   ws.onopen = () => {
+//     if (chatIdFromRoute.value && ws && ws.readyState === WebSocket.OPEN) {
+//       ws?.send(JSON.stringify(query_params));
+//     }
+//   }
+// }
+
+
+
+// const recordConnection = () => {
+//   roundStore.setAutoMode(true);
+//   ws = new WebSocket(recordUrl);
+//   ws.onmessage = (e) => {
+//     const data = JSON.parse(e.data);
+//     wsMessageHandler(data);
+//   }
+//   ws.onerror = (e) => {
+//     console.log("ws.onerror");
+//   }
+//   ws.onopen = () => { }
+// }
+
+
+const RunConnection = () => {
+  disConnectWebsocket();
+  switch (pageMode.value) {
+    // case 'playback':
+    //   playbackConnection();
+    //   break;
+
+    case 'review':
+      newTalkConnection();
+      break;
+
+    case 'new':
+      const input = chatMsgInfoStore.getCurrentInput
+      console.log("get current input in chat.vue", input);
+      if (input) {
+        newTalkConnection();
+        sendMessage(input)
+      } else {
+        // router.push('/playground')
+      }
+      break;
+
+    case 'recorder':
+      recordConnection();
+      break;
+
+    case 'runshared':
+      runSharedConnection();
+      break;
+
+    default:
+      break;
+  }
+}
+
+let RunConnectionOnce = function () {
+  RunConnection();
+  RunConnectionOnce = function () { };
+}
+
+watch(() => currentItem.value,
+  (newVal, oldVal) => {
+
+    console.log("currentItem.value = ", currentItem.value);
+    if (!currentItem.value) {
+      return;
+    }
+    RunConnectionOnce();
+    chatMsgInfo.value = [
+      {
+        content: currentItem.value?.parameters[0]?.goal || chatMsgInfoStore.getCurrentInput,
+        msgID: nanoid(),
+        parentMsgID: '',
+        role: 'USER',
+        isLatest: true
+      },
+      {
+        content: { task_des: '', cnt_agents: '' },
+        msgID: currentItem.value?.interaction_id || '',
+        parentMsgID: '',
+        role: 'AI',
+        isLatest: true
+      }
+    ]
+  },
+  {
+    immediate: true
+  }
+);
+
+onUnmounted(() => {
+  disConnectWebsocket();
+  chatMsgInfo.value = [];
+  roundStore.reset();
+});
+
+
+
+const md = new MarkdownIt({
+  html: true,
+  // breaks: true,
+  linkify: true,
+  highlight: function (str, lang) {
+    const div = document.createElement('div')
+    div.id = conversationId.value
+    div.classList.add('copy-btn')
+    div.dataset.clipboardAction = 'copy'
+    div.dataset.clipboardTarget = `#copy${nanoid()}`
+    div.innerText = 'Copy'
+
+    let html = ''
+    const language = hljs.getLanguage(lang) ? lang : 'python'
+    const code = hljs.highlight(str, { language }).value
+
+    div.addEventListener('click', (e: any) => {
+      console.log(e)
+    })
+
+    try {
+      html = html + code
+    } catch { }
+    return `<pre><code class="hljs language-${lang}">${html}</code></pre>`
+  },
+  langPrefix: 'hljs language-',
+})
+
+
+const isShowTyped = ref(false)
+const isTypedStop = ref(true)
+
+
+watch(() => [route.params.id, route.query.id, route.query.mode],
+  (newVal, oldVal) => {
+
+    roundStore.reset();
+    console.log("changed route,  route = ", newVal);
+
+    // if(!pageMode.value) {
+    //   router.push('/playground')
+    //   return;
+    // }
+
+    if (pageMode.value === 'playback' || pageMode.value === 'review' || pageMode.value === 'record') {
+      roundStore.reset();
+
+      if (pageMode.value === 'playback') {
+        roundStore.setAutoMode(true);
+      } else {
+        roundStore.setAutoMode(false);
+        roundStore.completeSubtask();
+      }
+
+      // if(!conversationId.value) {
+      //   router.push('/playground')
+      //   return;
+      // }
+      // if(!currentItem.value) {
+      //   router.push('/playground')
+      //   return;
+      // }
+
+      chatMsgInfo.value = [
+        {
+          content: currentItem.value?.parameters[0]?.goal || chatMsgInfoStore.getCurrentInput,
+          msgID: nanoid(),
+          parentMsgID: '',
+          role: 'USER',
+          isLatest: true
+        },
+        {
+          content: { task_des: '', cnt_agents: '' },
+          msgID: currentItem.value?.interaction_id,
+          parentMsgID: '',
+          role: 'AI',
+          isLatest: true
+        }
+      ]
+    }
+    RunConnectionOnce();
+    nextTick(() => {
+      if (listRef.value) listRef.value!.scrollTop = listRef.value?.scrollHeight || 0
+    })
+    // conversationId.value = newVal.id  as string
+    // queryChatInfo(newVal.id  as string).finally(() => {
+    //   if (isNew) {
+    //     isShowTyped.value = false
+
+    //   } else {
+
+    //     if (isRequestingAi.value) {
+    //       isShowTyped.value = true
+    //     } else {
+    //       isShowTyped.value = !isTypedStop.value
+    //     }
+    //   }
+    //   nextTick(() => {
+    //     if (listRef.value) listRef.value!.scrollTop = listRef.value?.scrollHeight || 0
+    //   })
+    // })
+  },
+  {
+    immediate: true
+  }
+)
+
+const queryChatInfo = async (id: string) => {
+  if (!id) return
+  const { data: res } = await getDataApi({ convId: id })
+
+  // 此APi在正式环境不可用
+  // return  RequestData
+
+
+  const useMessage = res.data.msgInfos.find((cmp: any) => {
+    return cmp.role === 'USER'
+  })
+  currentInput.value.task_des = useMessage.content
+  // const res = {...RequestData}
+  // console.log(RequestData)
+  // to
+  const newRes = {
+    ...res, ...{
+      dataNew: {
+        setting: {
+          mode: 'manual',
+          agent: 'Data agent',
+          plugins: ['1'],
+          temperature: new Date().getTime(),
+        }
+      }
+    }
+  }
+
+  // if (!res?.data?.msgInfos[0]) {
+  //   router.push('/playground')
+  //   return
+  // }
+  const msgArr: any[] = res?.data?.msgInfos
+
+  chatMsgInfoStore.setHistoryChat(id, msgArr)
+  chatMsgInfoStore.setSetting(id, newRes.dataNew.setting)
+  const arr = msgArr.reduce((prev, current, index) => {
+    prev[current.msgID] = msgArr.filter((msgItem) => msgItem.parentMsgID === current.msgID)?.map((item) => item.msgID)
+    return prev
+  }, {})
+
+  const newArr: any[] = []
+  msgArr.forEach((item, index) => {
+    item.content_html = md.render(item.content)
+    item.childrenIds = arr[item.msgID]
+    if (index === 0) {
+      newArr.push(item)
+    }
+    const parentMsg = msgArr.find((msgItem) => msgItem.msgID === newArr.at(-1).parentMsgID)
+    if (!parentMsg) return
+    newArr.push(parentMsg)
+  })
+
+  chatMsgInfo.value = newArr.reverse().slice(0, 2)
+
+  nextTick(() => (listRef.value!.scrollTop = listRef.value?.scrollHeight || 0))
+}
+
+// 增加水印
+// const userInfoStore = useUserStore()
+// const { userInfo } = storeToRefs(userInfoStore)
+// onMounted(() => useInitWaterMark('.watermark', userInfo.value?.user_id + ''))
+
+const listRef = ref<Nullable<HTMLElement>>(null)
+const wormText = (params: IChatRequest, { tasks, costTime, msgId }: { tasks: any; costTime: number; msgId: string }, refresh: boolean) => {
+  const run = async () => {
+    isShowTyped.value = false
+    isTypedStop.value = true
+    // TODO: 赋值ID
+    const newChat: ChatMsgInfoInf = {
+      msgID: msgId,
+      content: { task_des: '', cnt_agents: '' },
+      parentMsgID: params.chatMessage.at(-1)!.id || '',
+      role: 'AI',
+      costTimeMilli: costTime,
+      subTasks: [],
+      isLatest: true
+      // 当前的inenr是不是最新的那条信息
+    }
+    chatMsgInfo.value.forEach((item) => {
+      item.isLatest = false
+    })
+    chatMsgInfo.value.at(-1)?.childrenIds?.push(msgId)
+    chatMsgInfo.value.push(newChat)
+
+    chatMsgInfoStore.pushHistoryChat(params.conversationId, newChat)
+
+    nextTick(() => {
+      if (listRef.value) listRef.value!.scrollTop = listRef.value?.scrollHeight || 0
+    })
+  }
+
+  isTypedStop.value = false
+  run()
+}
+
+
+// 执行重新生成操作
+const regenerate = () => {
+  const input = currentInput.value
+  sendMessage(input)
+}
+
+// 初次加载逻辑
+// if (route.query.id) {
+//   chatMsgInfoStore.setisShouldRefreshHistory(false)
+//   queryChatInfo(route.query.id as string)
+// } 
+// const strFragment = reactive<Array<{ text: string; isEnd: boolean; isProgress: boolean; id: string }>>([])
+// 请求AI结果
+// async function queryAnswer(refresh?: string): Promise<void> {  
+//   if (isShowTyped.value) return
+//   isShowTyped.value = true
+//   isRequestingAi.value = true
+
+//   const chatMessage: Array<HistoryListInf> = chatMsgInfo.value?.map(
+//     ({ role, content, msgID, parentMsgID, costTimeMilli }: ChatMsgInfoInf, index) => {
+//       return {
+//         content: { pairs: content, type: 'TEXT', costTime: costTimeMilli || 0 },
+//         id: msgID,
+//         role,
+//         parentMsgID: parentMsgID || '',
+//       }
+//     }
+//   )
+
+//   const params: IChatRequest = {
+//     chatMessage: chatMessage.slice(-10),
+//     conversationId: conversationId.value,
+//     parentMessageId: '',
+//     generateType: !!refresh ? 'REGENERATE' : 'NORMAL',
+//     setting: route.query.id ? setting : remSetting,
+//   }
+
+//   lastConversionId.value = unref(conversationId)
+//   const {data: res} = await refreshDataApi(params)
+//   // 此APi在正式环境不可用
+//     //  return refreshAIData
+//   isRequestingAi.value = false
+//   lastConversionId.value = ''
+//   if (res?.code === 0) {
+//     // const tasks = res?.data?.subTasks || []
+//     const tasks = res?.data?.subTasks || []
+//     const costTime = res?.data?.costTimeMillis
+//     // const msgId = res?.data?.msgId
+//     const msgId = new Date().getTime() + '' // todo id不同  用来辨别
+//     if (params.conversationId !== conversationId.value) {
+//       isShowTyped.value = !isTypedStop.value
+//     } else {
+//       isShowTyped.value = true
+//       wormText(params, {tasks, costTime, msgId}, !!refresh)
+//     }
+//   } else {
+//     ElMessage({ type: 'error', message: res?.message })
+//   }
+// }
+
+// 重新生成
+// const refreshAnswer = ({ msgID }: { msgID: string }) => {
+//   // 存储操作
+//   useFeedbackRequest({ messageId: msgID, conversationId: conversationId.value, rating: 'THUMBS_NO', feedbackAction: 'REGENERATE' })
+//   // 删除最后一个回答
+//   chatMsgInfo.value.pop()
+//   queryAnswer('refresh')
+// }
+
+// 反馈成功
+// const evaluateSuccess = ({ feedbackMsg, messageId, rating }: { feedbackMsg: string; messageId: string; rating: feedbackRating }) => {
+//   const currentMessage = chatMsgInfo.value.find((item) => item.msgID === messageId)
+//   if (currentMessage) {
+//     currentMessage.rating = rating
+//     currentMessage.feedbackMsg = feedbackMsg
+//   }
+// }
+
+// const switchMsg = (val: { index: number; lastId: string; currentId: string; conversationId: string }) => {
+//   const historyChat = chatMsgInfoStore.getHistoryChat(val.conversationId)
+
+//   const lastChatIndex = chatMsgInfo.value.findIndex((item) => item.msgID === val.lastId)
+//   const lastChat = chatMsgInfo.value.slice(0, lastChatIndex)
+//   const currentChat = historyChat.find((item: ChatMsgInfoInf) => item.msgID === val.currentId)
+
+//   let followChat: ChatMsgInfoInf[] = []
+
+//   const findChat = (msgID: string) => {
+//     const chat = historyChat.find((item: ChatMsgInfoInf) => item.parentMsgID === msgID)
+//     if (chat) {
+//       followChat.push(chat)
+//       findChat(chat.msgID)
+//     }
+//   }
+//   findChat(val.currentId)
+//   if (followChat[0]) {
+//     chatMsgInfo.value = [...lastChat, currentChat, ...followChat]
+//   } else {
+//     chatMsgInfo.value = [...lastChat, currentChat]
+//   }
+
+//   nextTick(() => {
+//     if (followChat.length === 0) {
+//       if (listRef.value) listRef.value!.scrollTop = listRef.value?.scrollHeight || 0
+//     }
+//   })
+// }
+</script>
+
+<style scoped lang="scss">
+.divider {
+  height: 5px;
+  /* 调整垂直空隙的高度 */
+  /* 调整分割线和上下元素之间的距离 */
+}
+
+.container-box {
+  position: relative;
+  background-color: rgb(236, 237, 245);
+  padding: 20px 0 60px;
+  gap: 24px;
+
+  .history-list {
+    display: flex;
+    // width: 58vw;
+    padding: 0 calc(50vw - 130px - 32vw) 110px;
+    overflow-y: auto;
+    flex: 1 0 200px;
+
+    .user-content-border {
+      background: rgba(255, 255, 255, 0.90);
+      border-radius: 8px;
+      width: 100%;
+      padding: 12px 20px;
+    }
+
+    .input {
+      font-family: MiSans-Medium;
+      font-size: 14px;
+      color: #1c2848;
+      line-height: 24px;
+      font-weight: 500;
+
+      align-items: flex-start;
+      gap: 10px;
+      margin-block-end: 16px;
+      white-space: pre-wrap;
+
+      img {
+        width: 26px;
+        height: 26px;
+      }
+    }
+
+    .result {
+      margin-block-end: 10px;
+      padding-bottom: 1px;
+
+      position: relative;
+
+      .content {
+        width: 100%;
+        border-radius: 8px;
+      }
+
+      .feedback-wrapper {
+        width: calc(100% - 96px);
+        position: absolute;
+        top: 100%;
+        right: 24px;
+        gap: 12px;
+        font-family: MiSans-Regular;
+        font-size: 12px;
+        display: flex;
+        align-items: center;
+        justify-content: flex-end;
+
+        .complete-tip {
+          color: #ccc;
+          font-weight: 500;
+        }
+
+        .refresh {
+          cursor: pointer;
+          user-select: none;
+
+          color: #3d4ac6;
+
+          gap: 4px;
+
+          margin-right: auto;
+        }
+
+        :deep(.feedback) {
+          margin-left: auto;
+        }
+      }
+    }
+  }
+
+  .typed-box {
+    border-radius: 8px;
+    gap: 10px;
+
+    font-family: MiSans-Normal;
+    font-size: 16px;
+    color: #1c2848;
+    line-height: 24px;
+
+    .avatar {
+      flex-shrink: 0;
+      width: 26px;
+      height: 26px;
+      border-radius: 4px;
+    }
+  }
+
+  .input-border {
+    z-index: 5;
+    position: absolute;
+    left: 0px;
+    bottom: 0;
+    width: 100%;
+    align-items: center;
+    padding-top: 10px;
+    background: rgb(240, 241, 250);
+    box-shadow: inset 0 1px 3px 0 #FFFFFF;
+
+    .input-box {
+      // width: 58vw;
+      width: 100%;
+      padding: 0 calc(50% - 26vw);
+      // left: 50%;
+      // transform: translateX(-50%);
+    }
+
+    .refresh-btn-border {
+      display: flex;
+      align-items: center;
+      justify-content: center;
+
+      .refresh-btn {
+        height: 34px;
+        width: 162px;
+        background-color: #3D4AC6;
+        border-radius: 8px;
+        font-family: PingFangSC-Regular;
+        font-size: 14px;
+        color: #FFFFFF;
+        line-height: 16px;
+        font-weight: 400;
+        cursor: pointer;
+
+        .refresh-icon {
+          height: 16px;
+          width: 16px;
+          margin-right: 14px;
+        }
+      }
+
+    }
+
+    .warning {
+      margin-top: 32px;
+      margin-bottom: 24px;
+      width: 64vw;
+      justify-content: center;
+      font-family: PingFangSC-Regular;
+      font-size: 12px;
+      color: #dddddd;
+      font-weight: 400;
+      gap: 24px;
+
+      a {
+        color: #ddd;
+        text-decoration: none;
+      }
+
+      a:active {
+        color: #ddd;
+      }
+    }
+  }
+
+}
+
+.watermark {
+  pointer-events: none;
+  position: fixed;
+  width: calc(100% - 240px);
+  height: calc(100% - 120px);
+  top: 64px;
+  left: 240px;
+  bottom: 130px;
+  mix-blend-mode: darken;
+  z-index: 100;
+}
+
+.round-corner-logo {
+  border: none;
+  border-radius: 6px;
+  width: 52px;
+  height: 52px;
+}
+</style>
\ No newline at end of file
diff --git a/AgentVerseWeb/src/views/playground/components/CodeViewer.vue b/AgentVerseWeb/src/views/playground/components/CodeViewer.vue
new file mode 100644
index 000000000..fd1ae8a48
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/CodeViewer.vue
@@ -0,0 +1,81 @@
+<template>
+    <codemirror
+        v-model="code"
+        placeholder="Code is here..."
+        :style="{ height: '100%' }"
+        :autofocus="true"
+        :indent-with-tab="true"
+        :tab-size="2"
+        :extensions="extensions"
+        :options="CodeEditorOptions"
+        :lineNumbers="showLineNum"
+        @ready="handleReady"
+    />
+  </template>
+  
+  <script lang="ts">
+
+  import { defineComponent } from 'vue'
+  import { Codemirror } from 'vue-codemirror'
+  import { python } from '@codemirror/lang-python'
+  import { oneDark } from '@codemirror/theme-one-dark'
+  import { shallowRef, reactive } from 'vue'
+  
+  export default defineComponent({
+    components: {
+      Codemirror
+    },
+    props: {
+      value: {
+        type: String,
+        default: ''
+      },
+      isShowLineNum: {
+        type: Boolean,
+        default: false
+      }
+    },
+    setup(props, { emit }) {
+
+      const code = computed(() => (props.value));
+      const showLineNum = computed(() => (props.isShowLineNum));
+      const extensions = [python(), oneDark]
+
+      // Codemirror EditorView instance ref
+      const view = shallowRef()
+
+      const handleReady = (payload: any) => {
+        view.value = payload.view
+      }
+
+      const CodeEditorOptions = reactive({
+          lineNumbers: false,
+          lineWrapping: false,
+          theme: 'one-dark',
+          mode: 'python',
+          indentUnit: 2,
+          tabSize: 2,
+          indentWithTabs: true,
+          autofocus: true,
+          placeholder: 'Code is here...'
+      })
+  
+      const print = (type: any, event: any) => {
+        console.log(type, event)
+      } 
+
+      watch(() => showLineNum.value, (val) => {
+        CodeEditorOptions.lineNumbers = val
+      });
+  
+      return {
+        code,
+        extensions,
+        handleReady,
+        print,
+        showLineNum,
+        CodeEditorOptions
+      }
+    }
+  })
+  </script>
\ No newline at end of file
diff --git a/AgentVerseWeb/src/views/playground/components/FileUpload.vue b/AgentVerseWeb/src/views/playground/components/FileUpload.vue
new file mode 100644
index 000000000..906ff89ba
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/FileUpload.vue
@@ -0,0 +1,200 @@
+<template>
+  <div class="file-uploader-wrapper">
+      <el-upload
+            accept=".txt"
+            v-model:file-list="fileList"
+            class="upload-demo"
+            :limit="5"
+            action="test"
+            ref="uploadFileRef"
+            :on-change="handleChange"
+            :on-preview="handlePreview"
+            :on-remove="handleRemove"
+            :auto-upload="false"
+            :http-request="uploadFile"
+            :multiple="true"
+            :on-success="handleSuccess"
+          >
+          <template #trigger>
+              <el-button type="primary"
+                :icon="Upload"
+                :disabled="fileList.length === 5">
+                Click to Choose
+              </el-button>
+          </template>
+          <template #tip>
+              <div class="el-upload__tip">
+                You can upload up to 5 .txt files of up to 1MB each.
+              </div>
+          </template>
+      </el-upload>
+      <el-button 
+        type="primary"
+        plain
+        class="upload-start-btn"
+        @click="uploadNow"
+        :disabled="fileList.length === 0"
+        >Upload now </el-button>
+  </div>
+</template>
+
+<script lang="ts" setup>
+import { ref } from 'vue'
+import axios from 'axios';
+import type { UploadProps, UploadUserFile, UploadInstance } from 'element-plus'
+import { Upload } from '@element-plus/icons-vue'
+import BACKEND_URL from '/@/api/backend.ts';
+import { ElMessage } from 'element-plus';
+
+const fileList = ref<UploadUserFile[]>([ ])
+const uploadFileRef = ref<UploadInstance | null>(null)
+const uploadFinished = ref(false)
+
+const url = BACKEND_URL + '/upload';  
+
+const handleChange: UploadProps['onChange'] = (uploadFile, uploadFiles) => {
+}
+
+watch(() => fileList.value, (newVal) => {
+
+  let pattern = /\.([a-zA-Z0-9]+)$/;
+  let allowFileType = ['png', 'jpeg', 'gif', 'pdf', 'txt', 'pptx', 'xlsx', 'doc', 'ppt', 'xls']
+  let allowList:any = [],allowTag = true,tipFileName = ``
+  // 校验文件类型
+  for (let i = 0; i < newVal.length;i++) {
+    let fileName = newVal[i].name
+    let match = fileName.match(pattern);
+    
+    if (match) {
+      let file_type = match[1];
+      if (allowFileType.indexOf(file_type) == -1) {
+        allowTag = false
+        tipFileName = fileName
+      } else {
+        allowList.push(newVal[i])
+      }
+      } else {
+        allowList.push(newVal[i])
+    }
+  }
+  if (!allowTag) {
+    ElMessage({ 
+        type: 'warning',
+        message: `The  file "${tipFileName}" type is not supported`
+    });
+  }
+  fileList.value = allowList
+});
+
+const configStore = useConfigStore()
+
+
+const uploadFile = (param: any) => {
+  const formData = new FormData();
+
+  const userStore = useUserStore()
+  const { userInfo } = storeToRefs(userStore)
+  userInfo.value = userStore.getUserInfo;
+
+  console.log("params.file == ", param.file);
+
+  formData.append('files',  param.file as File);
+  formData.append('user_id', userInfo.value.user_id as string);
+  formData.append('token', userInfo.value.token as string);
+
+  axios.post(url , formData, {
+    headers: {
+      'Content-Type': 'multipart/form-data'
+    },
+    timeout: 5000
+  }).then((res) => {
+    if(res.data.success === true) {
+      const _file = res.data.data.file_list as string[];
+      configStore.addFiles(_file);
+      uploadFinished.value = true;
+      ElMessage({ 
+        type: 'success',
+        grouping: true,
+        message: "upload successful!"
+    });
+    }
+  }).catch((err) => {
+    ElMessage({ 
+        type: 'error',
+        grouping: true,
+        message: "upload failed"
+    });
+    console.log(err);
+  })
+}
+
+const uploadNow = () => {
+  uploadFileRef.value?.submit();
+}
+const handleSuccess = (sutaus:any) => {
+  console.log('upload success',sutaus)
+}
+const handleRemove = (file: UploadUserFile) => {
+  console.log("file onremove")
+  console.log(fileList.value);
+}
+
+const handlePreview = (file: UploadUserFile) => {
+  console.log("file onpreview")
+  console.log(file);
+}
+
+</script>
+
+<style scoped lang="scss">
+.file-uploader-wrapper {
+padding: 20px 20px 12px 20px;
+background: rgba(255,255,255,0.40);
+width: 100%;
+max-width: 800px;
+box-shadow: inset 0 1px 3px 1px #FFFFFF;
+border-radius: 12px;
+height: auto;
+position: relative;
+
+:deep(button) {
+  background-color: #3D4AC6;
+
+  i.el-icon {
+    color: #FFFFFF;
+  }
+}
+
+:deep(.el-upload__tip) {
+  font-family: 'PingFangSC-Regular';
+  font-size: 14px;
+  color: #676C90;
+  letter-spacing: 0;
+  line-height: 26px;
+  font-weight: 400;
+  margin-top: 10px;
+  margin-bottom: 0px;
+}
+
+:deep(.el-button--primary) {
+  span {
+    color: #FFFFFF;
+  }
+}
+
+:deep(.is-disabled) {
+  span {
+    color: #3D4AC6;
+  }
+}
+
+.upload-demo :deep(.is-disabled) {
+
+  span {
+    color: #fff;
+  }
+}
+
+
+}
+</style>
\ No newline at end of file
diff --git a/AgentVerseWeb/src/views/playground/components/HistorySidebar.vue b/AgentVerseWeb/src/views/playground/components/HistorySidebar.vue
new file mode 100644
index 000000000..f377d9a6e
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/HistorySidebar.vue
@@ -0,0 +1,500 @@
+<template>
+  <section class="sidebar">
+    <div class="logo_name_border flex-column">
+      <img class="logo" alt="" draggable="false" src="@/assets/images/playground/agentverse-main-logo.png" width="144"
+        height="120" />
+      <img class="name" src="@/assets/images/playground/agentverse-name-logo.png" draggable="false" alt="" width="180"
+        height="35" />
+    </div>
+    <div class="new-talk flex-row flex-center" @click="createNewTalk" v-if="false">
+      <span>New Talk</span>
+    </div>
+    <div class="history-list flex-column" v-if="false">
+      <div v-for="(item, index) in historyTalkArr" :key="item.interaction_id" class="history-item flex-row"
+        :class="{ active: item.interaction_id === route.query.id }">
+        <img src="@/assets/images/playground/qp.svg" alt="" class="icon" />
+        <span class="ellipsis" @click="switchToConversation(item)">
+          {{ item.description }}
+        </span>
+
+        <span class="delete_btn flex-row">
+          <span class="playback-icon" title="Run the task" @click="playbackItem(item, index)">
+            <VideoPlay />
+          </span>
+          <el-popconfirm width="fit-content" popper-class="delete-tip" confirm-button-text="Confirm"
+            cancel-button-text="Cancel" :hide-icon="true" :hide-after="0" placement="top"
+            title="Are you sure to delete this conversation? This operation cannot be undone."
+            @confirm="deleteHistory(item, index)">
+            <template #reference>
+              <span>
+                <IconDelete />
+              </span>
+            </template>
+          </el-popconfirm>
+        </span>
+      </div>
+
+      <div v-if="historyTalkArr.length <= 0 && !loading" class="no-data flex-column flex-center">
+        <img src="@/assets/images/playground/no-history.svg" alt="" />
+        <span>
+          No content for now
+        </span>
+        <span>
+          Start a new conversation to experience
+        </span>
+      </div>
+
+      <div v-if="loading" class="no-data loading flex-column flex-center" data-loading="Data Loading..."></div>
+    </div>
+    <div class="clear-btn-border flex-center">
+      <el-dropdown placement="top" trigger="click" class="clear-btn flex-row flex-center" @command="handleCommand">
+        <span class="el-dropdown-link">
+          <el-icon class="el-icon--left">
+            <Setting />
+          </el-icon>
+          Settings
+        </span>
+
+        <template #dropdown>
+          <el-dropdown-menu>
+            <el-dropdown-item command="logout">
+              <div class="menu-item-row">
+                <span>
+                  Log out
+                </span>
+              </div>
+            </el-dropdown-item>
+          </el-dropdown-menu>
+
+          <el-divider :style="{ padding: '0px', margin: '0px' }" v-if="false"></el-divider>
+          <el-dropdown-menu v-if="false">
+            <el-dropdown-item command="runrecord">
+              <div class="menu-item-row">
+                <span>
+                  Run record from file
+                </span>
+              </div>
+            </el-dropdown-item>
+          </el-dropdown-menu>
+
+
+        </template>
+      </el-dropdown>
+    </div>
+  </section>
+</template>
+
+<script setup lang="ts">
+import { ElMessage, ElMessageBox } from 'element-plus'
+
+const loading = ref(true)
+const route = useRoute()
+const router = useRouter()
+
+const userStore = useUserStore()
+const authStore = useAuthStore()
+const chatMsgInfoStore = useHistoryTalkStore()
+const historyTalkArr = computed(() => chatMsgInfoStore.getArrHistory);
+
+const {
+  history: historyTalk
+} = storeToRefs(chatMsgInfoStore)
+
+const { isRequestingAi } = storeToRefs(chatMsgInfoStore)
+const emits = defineEmits<{ (e: 'createTalk'): void; (e: 'clear'): void }>();
+
+const createNewTalk = () => {
+  if (isRequestingAi.value) {
+    ElMessage({
+      type: 'warning',
+      message: 'You have a request in progress, please try again later'
+    })
+    return
+  }
+  router.push('/playground')
+}
+
+const history = ref<{ title: string; convID: string; accountID: number }[]>([])
+onMounted(() => {
+  // queryHistoryData()
+});
+
+const queryHistoryData = () => {
+  loading.value = true
+
+  useHistoryListRequest().then((res) => {
+    const list = res?.data?.rows || []
+    chatMsgInfoStore.setHistoryArr(list);
+  })
+    .finally(() => {
+      loading.value = false
+    })
+}
+
+// watchEffect(() => {
+//   if (isShouldRefreshHistory.value) queryHistoryData()
+// })
+
+const switchToConversation = (item: any) => {
+  // if (isRequestingAi.value) {
+  //   ElMessage({ 
+  //       type: 'warning',
+  //       message: 'You have a request in progress, please try again later'
+  //   });
+  //   return
+  // }
+  // console.log("switch to conversation", item);
+
+  // router.push({ 
+  //   path: '/playground/chat', 
+  //   query: {
+  //     id: item.interaction_id,
+  //     mode: "review"
+  //   }
+  // })
+
+  return;
+}
+
+const deleteHistory = async (item: any, index: number) => {
+
+  // const conversationId = route.query.id
+
+  // // await useDeleteHistoryRequest({ id: [item.id] })
+  // // queryHistoryData()
+
+  // if (conversationId && conversationId === item.id) {
+  //   router.push('/playground')
+  // } else if (!conversationId && item.id) {
+  //   router.push('/playground')
+  // }
+
+  await useDeleteHistoryRequest({
+    interaction_id: item.interaction_id
+  });
+  // queryHistoryData()
+}
+
+const playbackItem = (item: any, index: number) => {
+  router.push({
+    name: 'NewTalk',
+    params: {
+      id: item.interaction_id,
+      mode: 'playback'
+    }
+  });
+}
+
+const Logout = () => {
+  const tips_str_en = 'Are you sure to log out?'
+  const cancel_str_en = 'Cancel'
+  const confirm_str_en = 'Confirm'
+
+  ElMessageBox.confirm(tips_str_en, {
+    customClass: 'delete-tip',
+    cancelButtonText: cancel_str_en,
+    confirmButtonText: confirm_str_en,
+  }).then(() => {
+    authStore.clearLoginState()
+    userStore.clearUserInfo()
+  }).then(() => {
+    router.push('/login');
+    window.location.reload();
+    ElMessage({
+      type: 'success',
+      message: 'Log out successfully'
+    });
+  });
+}
+
+const handleRecord = () => {
+  let rec_file = window.prompt('Please enter a record file path:');
+  if (rec_file) {
+    sessionStorage.setItem('rec', rec_file);
+    router.push({
+      name: 'NewTalk',
+      params: {
+        mode: "recorder",
+        id: "test"
+      }
+    });
+  }
+}
+
+const handleCommand = (command: string) => {
+  switch (command) {
+    case 'logout':
+      Logout();
+      break;
+
+    case 'runrecord':
+      handleRecord();
+      break;
+
+    default:
+      break;
+  }
+}
+
+const clearHistory = () => {
+
+  const tips_str_en = 'Are you sure to clear all the conversations? This operation cannot be undone.'
+  const cancel_str_en = 'Cancel'
+  const confirm_str_en = 'Confirm'
+
+  ElMessageBox.confirm(tips_str_en, {
+    customClass: 'delete-tip',
+    cancelButtonText: cancel_str_en,
+    confirmButtonText: confirm_str_en,
+  }).then(() => {
+    // async () => {
+    // const ids: string[] = history.value.map((item) => item.id)
+    // const res = await useDeleteHistoryRequest({ convIds: ids })
+    // if (res?.code === 0) {
+    //   history.value = []
+    //   historyTalkStore.clearHistory()
+    //   router.push('/playground')
+    // }
+    router.push('/playground');
+  });
+}
+</script>
+
+<style scoped lang="scss">
+.sidebar {
+  // background-image: linear-gradient(180deg, #f4f3f8 0%, #eaedf6 100%);
+  background-color: #fff;
+  width: 100%;
+  height: 100vh;
+  display: flex;
+  flex-direction: column;
+  position: relative;
+
+  .logo_name_border {
+    margin: 40px 0px 32px 0px;
+    align-items: center;
+    user-select: none;
+
+    .logo {
+      height: 120px;
+      width: 144px;
+      margin-bottom: 16px;
+    }
+  }
+
+  .new-talk {
+    cursor: pointer;
+    user-select: none;
+    background: #3D4AC6;
+    border-radius: 8px;
+    font-family: MiSans-Regular;
+    font-size: 15px;
+    height: 40px;
+    flex-basis: 40px;
+    color: #FFFFFF;
+    text-align: center;
+    font-weight: 400;
+    margin: 0px 24px;
+  }
+
+  .history-list {
+    margin-top: 24px;
+    overflow-y: auto;
+    gap: 1px;
+    flex: 1;
+
+    .history-item {
+      cursor: pointer;
+      position: relative;
+      gap: 8px;
+      justify-content: flex-start;
+      word-break: break-all;
+      user-select: none;
+      font-family: MiSans-Normal;
+      font-size: 14px;
+      color: #777e91;
+      margin: 0 10px;
+      padding: 16px 18px;
+      --line-clamp: 2;
+      text-overflow: ellipsis;
+
+      .icon {
+        width: 16px;
+      }
+
+      &:hover {
+        // color: #3d4ac6;
+        background: #fff;
+        border-radius: 4px;
+
+        .delete_btn {
+          display: flex;
+          width: auto;
+
+
+
+        }
+      }
+
+      .delete_btn {
+        width: auto;
+        height: 100%;
+        background-image: linear-gradient(269deg, #ffffff 50%, rgba(255, 255, 255, 0) 100%);
+        border-radius: 4px;
+        position: absolute;
+        right: 0;
+        top: 0;
+        display: none;
+        align-items: center;
+        justify-content: flex-end;
+
+        span {
+          display: inline-flex;
+          justify-content: center;
+          align-items: center;
+          width: 20px;
+          height: 20px;
+          margin-right: 8px;
+
+          &:hover {
+            background: #e1e5fa;
+            border-radius: 4px;
+
+            :deep(svg) {
+              // margin: 0 12px 0 auto;
+              width: 14px;
+              height: 14px;
+
+              path {
+                fill: #3d4ac6;
+              }
+            }
+          }
+        }
+      }
+    }
+
+    .history-item.active {
+      // color: #3d4ac6;
+      background: #fff;
+      border-radius: 4px;
+    }
+
+    .no-data {
+      height: 100%;
+      font-family: MiSans-Normal;
+      font-size: 12px;
+      line-height: 16px;
+      color: #a4a9b6;
+
+      img {
+        padding-right: 24px;
+        margin-bottom: 30px;
+      }
+    }
+
+    .no-data.loading::after {
+      content: attr(data-loading);
+    }
+  }
+
+  .clear-btn-border {
+    height: 63px;
+    padding: 10px 24px;
+    position: absolute;
+    left: 0;
+    bottom: 0;
+    width: 100%;
+
+    .clear-btn {
+      cursor: pointer;
+      border: 1px solid #c1c1c1;
+      border-radius: 4px;
+      height: 43px;
+      width: 100%;
+      font-family: PingFangSC-Regular;
+      font-size: 14px;
+      color: #777e91;
+
+    }
+  }
+}
+
+.dropdown-menu {
+  z-index: 1000 !important;
+}
+
+
+.menu-item-row {
+  width: 100%;
+  padding: 0;
+  text-align: center;
+}
+</style>
+<style lang="scss">
+.playback-icon {
+  margin: 0 3px;
+  width: 20px;
+  height: 20px;
+
+  path {
+    fill: #A4A9B6;
+  }
+}
+
+.delete-tip {
+  padding: 10px 16px;
+
+  .el-popconfirm__main {
+    white-space: nowrap;
+    font-size: 14px;
+    font-family: MiSans-Normal;
+    color: #1c2848;
+    max-width: 200px !important;
+    white-space: pre-wrap !important;
+  }
+
+  .el-popconfirm__action {
+    display: flex;
+
+    button {
+      width: 50%;
+      --el-color-primary: #3d4ac6;
+      --el-color-primary-light-3: #3d4ac6;
+    }
+
+    button:active {
+      background: #313ca5;
+    }
+  }
+
+  .el-message-box__close {
+    color: #3d4ac6;
+
+    &:hover {
+      color: #3d4ac6;
+    }
+  }
+
+  .el-message-box__btns {
+    button {
+      --el-color-primary: #3d4ac6;
+      --el-color-primary-light-3: #3d4ac6;
+    }
+
+    button:active {
+      background: #313ca5;
+    }
+  }
+}
+
+
+.el-dropdown__popper {
+  margin-bottom: 15px;
+  width: 212px !important;
+}
+
+.el-dropdown-link {
+  user-select: none;
+}
+</style>
diff --git a/AgentVerseWeb/src/views/playground/components/ImageViewer.vue b/AgentVerseWeb/src/views/playground/components/ImageViewer.vue
new file mode 100644
index 000000000..8ea2b7f02
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/ImageViewer.vue
@@ -0,0 +1,89 @@
+<template>
+    <div class="image-viewer-wrapper" v-show="dataList.length > 0">
+        <div>
+            <ul id="images">
+                <viewer :images="images" :options="{toolbar: false}">
+                    <li v-for="(image, index) in images" :key="index" >
+                        <img 
+                            :src="image"
+                            :alt="'Picture '+ (index + 1)"
+                            class="image"
+                            :draggable="false"
+                        />
+                    </li>
+                </viewer>
+            </ul>
+        </div>
+    </div>
+</template>
+
+<script lang="js">
+
+import Viewer from 'viewerjs';
+import { ref, onMounted } from 'vue';
+
+export default {
+    name: 'ImageViewer',
+    props: {
+        dataList: {
+            type: Array,
+            default: () => []
+        }
+    },
+    setup(props) {
+        const container = ref(null);
+
+        const DEFAULT_DEMO_IMAGE_STR = 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+
+
+        const item = `data:image/png;base64,${DEFAULT_DEMO_IMAGE_STR}`;
+
+        const images = ref(new Array(1).fill(item));
+
+        onMounted(() => {
+            // const viewer = new Viewer(container.value, {
+            //     inline: false,
+            //     backdrop: true,
+            //     navbar: false,
+            //     toolbar: false,
+            //     title: true,
+            //     viewed() {
+            //         viewer.zoomTo(1);
+            //     },
+            // });
+        });
+
+        const handleImageItemClick = (e) => {
+            console.log(e);
+        };
+
+        return {
+            container,
+            images,
+            handleImageItemClick,
+        };
+    }
+}
+
+</script>
+
+<style scoped lang="scss">
+
+@import 'viewerjs/dist/viewer.css';
+
+#images {
+    width: 100%;
+    display: flex;
+    flex-wrap: wrap;
+    justify-content: flex-start;
+    align-items: center;
+    list-style: none;
+}
+
+.image {
+    height: 100px;
+    cursor: pointer;
+    margin: 5px;
+    display: inline-block;
+}
+</style>
diff --git a/AgentVerseWeb/src/views/playground/components/Inferencing.vue b/AgentVerseWeb/src/views/playground/components/Inferencing.vue
new file mode 100644
index 000000000..56134adcd
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/Inferencing.vue
@@ -0,0 +1,338 @@
+<template>
+  <div class="infer-border flex-column">
+    <div v-if="!isEndNode">
+      <div class="flex-row row" v-for="(keyName, index) in dataObjKeys" :key="keyName">
+        <span class="key-name-label" v-if="stageId == 'role_assign' && data[keyName]">assignment:</span>
+        <span class="key-name-label" v-if="stageId == 'decision_make' && data[keyName]">discussion:</span>
+
+        <el-input v-if="data[keyName]" type="textarea" :autosize="{ minRows: 1, maxRows: 10 }" class="input"
+          :disabled="false" v-model="data[keyName]">
+          <!-- <template #suffix>
+            <img @click="resetInput(keyName)" class="reset-icon" src="@/assets/images/playground/icon_reset.svg" />
+          </template> -->
+        </el-input>
+
+      </div>
+    </div>
+    <div class="subtask-submit-info" v-if="data.using_tools">
+      <div class="end-subtask-info-title" v-if="!isEndNode">
+        <span>using Tools:</span>
+      </div>
+      <SubmitSubroundInfo :data="data.using_tools" />
+    </div>
+
+  </div>
+
+
+  <el-dialog v-model="dialogVisible" title="Tips" width="30%" :before-close="handleClose">
+    <ModalInfo :list="list" />
+  </el-dialog>
+</template>
+  
+<script setup lang="ts">
+import { ref } from 'vue'
+import ModalInfo from './ModalInfo.vue'
+import { ElMessage } from 'element-plus'
+import { getModalData, getNewTaskData } from '/@/mockApi/index'
+import SubmitSubroundInfo from "./SubmitSubroundInfo.vue"
+const chatMsgInfoStore = useHistoryTalkStore()
+
+const props = defineProps([
+  'data', 'isLast',
+  'conversationId', 'msgID',
+  'stageId', 'waitQueue',
+  "isEndNode", // 是不是当前某个subtask最后一个inner
+  'isInRunningSubtask', 'isAutoMode',
+  'currentInnerIndex', 'currentSubtaskIndex',
+  "isInnerNodeGenerating",
+  "subTaskNumber", "innerNumber", "isFreezed"
+]);
+
+const isEndNode = computed(() => props.isEndNode as boolean);
+const isFreezed = computed(() => props.isFreezed as boolean);
+const subTaskNumber = computed(() => props.subTaskNumber)
+const innerNumber = computed(() => props.innerNumber)
+
+const emit = defineEmits(['runComplete', 'runToNext']);
+
+const dataItem = {
+  ...toRaw(props.data)
+};
+
+// const dataObj = computed({
+//   get: () => {
+//     return roundInfo.subtasks.value[subTaskNumber.value].inner[innerNumber.value]
+//   },
+//   set: (val) => {
+//     roundStore.setInnerItem(val, subTaskNumber.value, innerNumber.value)
+//   }
+// });
+
+const dataObjKeys = [
+  'thought'
+]
+
+const isLast = computed(() => props.isLast);
+
+const roundStore = useRoundStore();
+const roundInfo = storeToRefs(roundStore);
+
+const {
+  isCompleted: isTaskCompleted
+} = storeToRefs(roundStore);
+
+const isAutoMode = computed(() => props.isAutoMode) // 是否是自动模式
+
+const currentInnerIndex = computed(() => props.currentInnerIndex) // 当前内部索引
+const currentSubtaskIndex = computed(() => props.currentSubtaskIndex) // 当前子任务索引
+const isInRunningSubtask = computed(() => props.isInRunningSubtask)
+
+const isInnerNodeGenerating = computed(() => props.isInnerNodeGenerating)
+const lineFeedData = computed((keyName) => props.data[keyName].split(/\\r\\n/g).join('<br/>'))
+const thought = ref(props.data.thought || "thought") // 字段值
+const apiName = ref(props.data.apiName || "apiName") // 字段值  "apiName
+const apiParameter = ref(props.data.apiParameter || "apiParameter") // 字段值
+const list = ref([]) // 弹层详细信息列表
+const runLoading = ref(false) // 执行run操作 按钮loading状态存值
+const dialogVisible = ref(false)
+
+// const resetInput = (name: string) => {
+//   dataObj.value[name] = dataItem[name]
+// }
+
+const runToNextNode = async (bool: boolean) => {
+  if (bool) return
+
+  runLoading.value = true
+  // const result = await runRequest({
+  //   thought: thought.value,
+  //   apiName: apiName.value,
+  //   apiParameter: apiParameter.value,
+  //   id: props.data.id,
+  // })
+  // 此API在正式环境不可用
+  // return
+  // data: {
+  //     list: [],
+  // },
+  // code: 0,
+  // message: 'Success'
+
+  const param = toRaw(dataItem)
+
+  emit('runToNext', {
+    ...param,
+    ...{
+      thought: thought.value,
+      apiName: apiName.value,
+      apiParameter: apiParameter.value,
+    }
+  });
+
+  runLoading.value = false
+
+  // if(result.data.code === 0) {
+  //   if(props.isLast) {
+  //     // 如果是最后一个元素 则将新的task插入到当前会话里面  判断数据返回  如果没有新的task 则止步于此
+  //     // 最后一个步骤
+
+  //     const data = chatMsgInfoStore.getCurrentMessage(props.conversationId, props.msgID)
+  //     // 如果任务完成  则再发送请求 跳到下一个subtask
+  //     if(data.complete) {
+  //       // 如果整个任务完成，他就是最后一个subtask 无需请求下一个。
+  //       chatMsgInfoStore.updateInferencing(props.conversationId, props.msgID, props.tasksId, props.data.id, true)
+  //       return
+  //     }
+  //     const {data: res} = await getNewTaskData({})
+
+  //     // 此API在正式环境不可用
+
+  //     // return newTaskData
+
+
+  //     const copy = {...res}
+  //     copy.data.data.tasksId = new Date().getTime() + '' //测试代码  生成不同id
+  //     // 测试代码  生成不同toolId 便于辨识当前执行run
+  //     copy.data.data.tools = copy.data.data.tools.map((cmp: any, index: number) => {
+  //       return {...cmp, ...{id: new Date().getTime() + index + ''}}
+  //     })
+  //     if(copy.data.isAll) {
+  //       chatMsgInfoStore.requestComplete(props.conversationId, props.msgID, props.tasksId, props.data.id)
+  //     }
+  //     chatMsgInfoStore.addSubTask(props.conversationId, props.msgID , props.tasksId, props.data.id, copy.data.data)
+  //     emit('runComplete', {})
+  //     // 执行回调
+  //   } else {
+  //     chatMsgInfoStore.updateInferencing(props.conversationId, props.msgID, props.tasksId, props.data.id, false)
+  //     emit('runComplete', {})
+  //   }
+  // }
+
+}
+watchEffect(() => {
+  if (props.data.id === props.waitQueue[0]) {
+    // 判断是否执行到自身
+    // 执行run操作  然后执行回调
+
+    // runActive(false)
+  }
+})
+const showModal = async () => {
+  const { data: res } = await getModalData({ id: '111' })
+  // 此API在正式环境不可用
+
+  // return 
+
+  // "code": 0,
+  // "message": "Success",
+  // "data": {
+  //   "infos": []
+  // }
+
+  if (res.code === 0) {
+    dialogVisible.value = true
+    list.value = res.data.infos
+  } else {
+    ElMessage({
+      message: h('p', null, [
+        h('span', null, 'network error'),
+        h('i', { style: 'color: teal' }, 'VNode'),
+      ]),
+    })
+  }
+
+}
+
+const handleClose = (done: () => void) => {
+  done()
+}
+</script>
+
+<style scoped lang="scss">
+@import url(../../../assets/css/animation.css);
+
+.run-btn {
+  width: 76px;
+  height: 34px;
+  border-radius: 8px;
+  font-family: PingFangSC-Medium;
+  font-size: 14px;
+  letter-spacing: 0;
+  line-height: 26px;
+  font-weight: 500;
+
+  cursor: pointer;
+
+  img {
+    height: 13px;
+    width: 13px;
+    animation: linear rotate_animate 1.5s infinite;
+  }
+}
+
+.disable {
+  opacity: 0.5;
+  cursor: not-allowed;
+}
+
+.detail-row {
+  align-items: center;
+  justify-content: space-between;
+}
+
+.showMoreIcon {
+  height: 20px;
+  width: 20px;
+  cursor: pointer;
+}
+
+.infer-border {
+  width: 100%;
+  padding: 10px;
+  row-gap: 10px;
+}
+
+.row {
+
+  align-items: center;
+  margin: 0 5px 10px 5px;
+  display: flex;
+  flex-direction: column;
+
+  .key-name-label {
+    width: 100%;
+    height: auto;
+    padding-right: 16px;
+    text-align: left;
+    font-family: PingFangSC-Regular;
+    font-size: 14px;
+    color: #000000;
+    letter-spacing: 0;
+    line-height: 22px;
+    font-weight: 600;
+  }
+
+  .read-only-input {
+    flex: 1;
+    width: 100%;
+
+    span {
+      font-family: 'PingFangSC-Regular';
+      font-size: 14px;
+      color: #676C90;
+      letter-spacing: 0;
+      line-height: 26px;
+      font-weight: 400;
+    }
+  }
+
+  .input {
+    flex: 1;
+    width: 100%;
+
+    textarea {
+      width: 100%;
+      height: auto;
+    }
+
+    :global(.el-input__wrapper) {
+      border-radius: 8px;
+    }
+
+    :global(.el-input-group__append) {
+      background-color: unset;
+      border: 0px;
+      padding: 0 10px;
+      cursor: pointer;
+    }
+
+    img {
+      cursor: pointer;
+    }
+  }
+}
+
+.end-subtask-info-title {
+  width: 100%;
+  height: auto;
+  display: flex;
+  flex-direction: row;
+  justify-content: flex-start;
+  align-items: flex-start;
+  font-family: PingFangSC-Medium;
+  font-size: 14px;
+  color: #1C2848;
+  letter-spacing: 0;
+  line-height: 26px;
+  margin-top: -10px;
+
+  span {
+    font-weight: 700 !important;
+  }
+}
+
+:deep(.jv-item.jv-string) {
+  color: #676C90 !important;
+}
+</style>
+    
\ No newline at end of file
diff --git a/AgentVerseWeb/src/views/playground/components/ModalInfo.vue b/AgentVerseWeb/src/views/playground/components/ModalInfo.vue
new file mode 100644
index 000000000..d44592ebb
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/ModalInfo.vue
@@ -0,0 +1,16 @@
+<template>
+   <div class="border"></div>
+</template>
+  
+<script setup lang="ts">
+  import { ref } from 'vue'
+  const props = defineProps(['list'])
+</script>
+
+<style scoped lang="scss">
+  .border{
+    height: 200px;
+    width: 200px;
+    background-color: aqua;
+  }
+</style>
\ No newline at end of file
diff --git a/AgentVerseWeb/src/views/playground/components/Setting.vue b/AgentVerseWeb/src/views/playground/components/Setting.vue
new file mode 100644
index 000000000..7d1a171ce
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/Setting.vue
@@ -0,0 +1,242 @@
+<template>
+  <div class="setting">
+    <div class="setting_top flex-column">
+      <span class="title">Hi!</span>
+      <span class="title">
+        <strong>This is the 🤖 &nbsp;AGENTVERSE</strong>&nbsp;🪐
+      </span>
+      <span class="sub_title"> Please input your cnt_agents & task_description to continue. We need you to define
+        cnt_agent
+        and cnt_agents.&nbsp;<br />cnt_agents means the number of agents using tools.</span>
+    </div>
+  </div>
+</template>
+  
+<script setup lang="ts">
+import { ref } from 'vue'
+import type { CSSProperties } from 'vue'
+const emit = defineEmits(['settingChange'])
+interface PluginsOption {
+  label?: string
+  value?: string
+  checked?: boolean
+}
+interface AgentOption {
+  label?: string
+  value?: string
+
+}
+interface ModeOption {
+  label?: string
+  value?: string
+}
+interface Mark {
+  style: CSSProperties
+  label: string
+}
+type Marks = Record<number, Mark | string>
+const agent = ref('')
+const mode = ref('')
+
+const router = useRouter()
+// const temperature = ref(0)
+// const plugins = ref([])
+const agentOptions = ref<Array<AgentOption>>([])
+const modeOptions = ref<Array<ModeOption>>([])
+// const pluginsOptions = ref<Array<PluginsOption>>([])
+// const marks = reactive<Marks>({
+//   0: '0',
+//   0.2: '0.2',
+//   0.4: '0.4',
+//   // 0.6: {
+//   //   style: {
+//   //     color: '#1989FA',
+//   //   },
+//   //   label: '50%',
+//   // },
+//   0.6: '0.6',
+//   0.8: '0.8',
+//   1: '1',
+// })
+onMounted(() => {
+  // pluginsOptions.value = [{
+  //   value: 'plugins1',
+  //   label: 'plugins1',
+  //   checked: false,
+  // }, {
+  //   value: 'plugins2',
+  //   label: 'plugins2',
+  //   checked: false,
+  // }]
+  modeOptions.value = [{
+    value: 'auto',
+    label: 'Auto',
+  },
+  {
+    value: 'manual',
+    label: 'Manual',
+
+  }]
+  // 进行数据过滤
+  agentOptions.value = [
+    {
+      value: 'agent',
+      label: 'AgentVerse',
+    },
+  ]
+})
+// const pluginsSelectChange = (datas: Array<string>) => {
+//   const result = useArrayMap(pluginsOptions.value, (i: PluginsOption) => {
+//     const {value, label} = i
+//     return {...{value, label, checked: datas.includes(i.value || '')}}
+//   } )
+//   pluginsOptions.value = result.value
+// }
+watchEffect(() => {
+  // 自动监听设置内容变化  
+  emit('settingChange', {
+    agent: agent.value,
+    mode: mode.value,
+    // temperature: temperature.value,
+    // plugins: plugins.value,
+  })
+})
+
+const handleRecord = () => {
+}
+
+</script>
+
+<style scoped lang="scss">
+.el-form .el-select {
+  width: 100%;
+}
+
+.setting {
+  padding: 20px;
+  background: rgba(255, 255, 255, 0.40);
+  box-shadow: inset 0 1px 3px 1px #FFFFFF;
+  border-radius: 12px;
+  width: 100%;
+  max-width: 800px;
+  position: relative;
+
+  .title {
+    font-family: PingFangSC-Semibold;
+    font-size: 26px;
+    color: #05073B;
+    letter-spacing: 0;
+    line-height: 36px;
+    font-weight: 600;
+
+    strong {
+      font-weight: 800;
+    }
+  }
+
+  .sub_title {
+    font-family: 'PingFangSC-Regular';
+    font-size: 14px;
+    color: #676C90;
+    letter-spacing: 0;
+    line-height: 26px;
+    font-weight: 400;
+    margin-top: 10px;
+    margin-bottom: 12px;
+  }
+
+  .content {
+    background: #E9EAF4;
+    border-radius: 8px;
+    padding: 24px 0 4px 0;
+
+    .content-left {
+      flex: 3;
+
+      .row {
+        display: flex;
+        align-items: center;
+        flex-direction: row;
+        margin-bottom: 20px;
+        width: 100%;
+        max-width: 400px;
+
+        .select-input {
+          width: 100%;
+
+          :global(.el-input__wrapper) {
+            border-radius: 8px;
+
+            width: 100%;
+          }
+
+          option {
+            width: 100%;
+            max-width: 400px;
+          }
+        }
+      }
+
+      .label {
+        width: 108px;
+        padding-right: 16px;
+        text-align: right;
+        font-family: PingFangSC-Regular;
+        font-size: 14px;
+        color: #000000;
+        letter-spacing: 0;
+        line-height: 22px;
+        font-weight: 400;
+      }
+    }
+
+    .content-right {
+      flex: 1;
+      position: relative;
+
+      .plugin-select-info {
+        position: absolute;
+        height: 200px;
+        width: calc(100% - 80px);
+        padding: 10px;
+        left: 40px;
+        bottom: 20px;
+        background-color: #ddd;
+      }
+    }
+  }
+}
+
+.checkbox_normal {
+  height: 20px;
+  width: 20px;
+  background-color: #eee;
+}
+
+.checkbox_checked {
+  background-color: #000;
+}
+
+
+
+
+.hidden-btn {
+  padding: 5px 10px;
+  border-radius: 5px;
+  color: #3D4AC6;
+  background-color: #FFFFFF;
+  position: absolute;
+  top: 10%;
+  right: 0;
+  opacity: 0;
+
+  &:hover {
+    opacity: 0.3;
+    display: block;
+  }
+}
+</style>
+<!-- <style lang="scss">
+
+</style> -->
+  
\ No newline at end of file
diff --git a/AgentVerseWeb/src/views/playground/components/SubmitSubroundInfo.vue b/AgentVerseWeb/src/views/playground/components/SubmitSubroundInfo.vue
new file mode 100644
index 000000000..dc8665648
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/SubmitSubroundInfo.vue
@@ -0,0 +1,274 @@
+<template>
+    <div class="end-subtask-info">
+        <div class="end-subtask-info-content">
+            <div class="end-subtask-info-content-item">
+                <span class="end-subtask-info-content-item-title">
+                    Command Name:
+                </span>
+                <json-viewer class="end-subtask-info-content-item-viewer" :value="CommandName" :expand-depth="0"
+                    :expanded="false"></json-viewer>
+            </div>
+            <div class="end-subtask-info-content-item">
+                <span class="end-subtask-info-content-item-title">
+                    Tool Input:
+                </span>
+                <json-viewer class="end-subtask-info-content-item-viewer" :expand-depth="0" :expanded="false"
+                    :value="Arguments"></json-viewer>
+            </div>
+            <div class="end-subtask-info-content-item">
+                <span class="end-subtask-info-content-item-title">
+                    Observation:
+                </span>
+
+                <!-- <span v-if="isString(ExecutionResults)" class="result-viewer-btn-wrapper">
+                    <el-button plain size="small" @click="handleViewResult" :icon="View">
+                        View Result
+                    </el-button>
+                </span> -->
+
+                <json-viewer class="end-subtask-info-content-item-viewer" :expand-depth="0" :expanded="false"
+                    :value="ExecutionResults"></json-viewer>
+            </div>
+
+            <!-- <div class="end-subtask-info-content-item" v-if="isPythonNoteBook">
+                <span class="end-subtask-info-content-item-title">
+                    Tool Input Code:
+                </span>
+                <span class="code-viewer-btn-wrapper">
+                    <el-button plain size="small" :icon="View" @click="handleViewCode">View code</el-button>
+                </span>
+            </div> -->
+
+            <!-- <div class="end-subtask-info-content-item">
+                <span class="end-subtask-info-content-item-title">
+                    Command Status:
+                </span>
+                <span class="command-status-wrapper">
+                    <span class="command-status-prefix-icon">
+                        {{
+                            getCommandStatusIcon(CommandStatus)
+                        }}
+                    </span>
+                    <span style="padding-top: 8px; margin-left: 5px;" :class="{
+                                'command-status-success': getCommanStatus(CommandStatus) === 1,
+                                'command-status-fail': getCommanStatus(CommandStatus) === -1,
+                                'command-status-other': getCommanStatus(CommandStatus) === 0,
+                            }">
+                        {{ CommandStatus }}
+                    </span>
+                </span>
+            </div> -->
+
+            <!-- <image-viewer :dataList="imagesArr" v-if="false" /> -->
+
+            <!-- <el-dialog v-model="isModalOpen" :title="modalTitle" width="70%" :modal="true" align-center
+                :before-close="handleClose" destroy-on-close>
+                <code-viewer :value="viewedCodeStr" :isShowLineNum="showLineNum" />
+                <template v-slot:footer>
+                    <el-button type="primary" @click="isModalOpen = false">Close</el-button>
+                </template>
+            </el-dialog> -->
+        </div>
+    </div>
+</template>
+
+<script lang="ts" setup>
+import { ref, } from 'vue'
+import ImageViewer from './ImageViewer.vue'
+import CodeViewer from './CodeViewer.vue'
+import { View } from '@element-plus/icons-vue'
+
+const props = defineProps(['data'])
+
+const isModalOpen = ref(false)
+const viewedCodeStr = ref("")
+
+const handleClose = (done: any) => {
+    isModalOpen.value = false
+    done()
+}
+
+const objectToString = (obj: any) => {
+    return JSON.stringify(obj)
+}
+
+const modalTitle = ref<string>("");
+const showLineNum = ref<boolean>(true);
+
+const isString = (obj: any) => {
+    return typeof obj === 'string'
+}
+
+const getImagesArrFromResult = (data: any) => {
+    if (typeof data === 'string') {
+        return [];
+    }
+    if (Array.isArray(data)) {
+        return data.filter((item: any) => {
+            return item.media_type.startsWith('image/')
+        }).map((item: any) => {
+            return {
+                name: item.file_name,
+                data: item.file_data,
+                type: item.file_name.split('.').pop(),
+            }
+        });
+    } else {
+        return []
+    }
+}
+
+const getCommanStatus = (status: string) => {
+    if (status.includes('SUCCESS') || status.includes('Success')) {
+        return 1;
+    } else if (status.includes('FAIL') || status.includes('Fail')) {
+        return -1;
+    } else {
+        return 0;
+    }
+}
+
+const getCommandStatusIcon = (status: string) => {
+    if (status.includes('SUCCESS') || status.includes('Success')) {
+        return '✅';
+    } else if (status.includes('FAIL') || status.includes('Fail')) {
+        return '❌';
+    } else {
+        return '⏳';
+    }
+}
+
+const imagesArr = computed(
+    () => getImagesArrFromResult(props.data.ExecutionResults)
+);
+const isPythonNoteBook = computed(
+    () => props.data.tool_name.includes('PythonNotebook_execute_cell') ? true : false);
+
+const CommandName = computed(
+    () => props.data.tool_name);
+
+const Arguments = computed(
+    () => props.data.tool_input);
+
+const ExecutionResults = computed(
+    () => {
+        return props.data.observation;
+    });
+
+const CommandStatus = computed(
+    () => props.data.tool_status_code);
+
+const ToolInputCode = computed(
+    () => props.data.tool_input?.code || '');
+
+const handleViewResult = () => {
+    modalTitle.value = "Execution Results"
+    isModalOpen.value = true;
+    showLineNum.value = false;
+    viewedCodeStr.value = ExecutionResults.value
+}
+const handleViewCode = () => {
+    modalTitle.value = "Tool Input Code"
+    isModalOpen.value = true;
+    showLineNum.value = true;
+    viewedCodeStr.value = ToolInputCode.value
+}
+
+</script>
+
+
+<style lang="scss" scoped>
+.end-subtask-info {
+    width: 100%;
+    height: 100%;
+    display: flex;
+    flex-direction: column;
+    align-items: flex-start;
+    justify-content: flex-start;
+
+    .end-subtask-info-title {
+        width: 100%;
+        height: auto;
+        display: flex;
+        flex-direction: row;
+        justify-content: flex-start;
+        align-items: flex-start;
+        font-family: PingFangSC-Medium;
+        font-size: 14px;
+        color: #1C2848;
+        letter-spacing: 0;
+        line-height: 26px;
+        font-weight: 500;
+        margin-top: -10px;
+    }
+
+    .end-subtask-info-content {
+        width: 100%;
+        height: 90%;
+        display: flex;
+        flex-direction: column;
+        align-items: center;
+
+        .end-subtask-info-content-item {
+            width: 100%;
+            height: auto;
+            display: flex;
+            flex-direction: row;
+            align-items: flex-start;
+            justify-content: flex-start;
+            background: #FFFFFF;
+            border-radius: 8px;
+
+            .end-subtask-info-content-item-title {
+                width: 150px;
+                height: auto;
+                font-size: 15px;
+                letter-spacing: 0;
+                line-height: 26px;
+                font-weight: 500;
+                margin-top: 5px
+            }
+
+            .end-subtask-info-content-item-viewer {
+                width: calc(100% - 150px);
+            }
+
+            :deep(.jv-code) {
+                padding: 5px 5px !important;
+            }
+
+        }
+    }
+}
+
+:deep(.jv-item.jv-string) {
+    color: #676C90 !important;
+}
+
+:deep(.el-dialog__body) {
+    padding: 0 10px 10px 10px !important;
+    height: 70vh;
+}
+
+.result-viewer-btn-wrapper,
+.code-viewer-btn-wrapper {
+    height: auto;
+    padding-top: 5px;
+}
+
+.command-status-wrapper {
+    padding-top: 8px;
+}
+
+.command-status-success {
+    color: #67C23A;
+}
+
+.command-status-fail {
+    color: #F56C6C;
+}
+
+.command-status-other {
+    color: #909399;
+}
+</style>
diff --git a/AgentVerseWeb/src/views/playground/components/Tab.vue b/AgentVerseWeb/src/views/playground/components/Tab.vue
new file mode 100644
index 000000000..6684c74b1
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/Tab.vue
@@ -0,0 +1,821 @@
+<template>
+  <div class="content-title flex-row" v-show="subRounds.length !== 0 || isLatest">
+    <span> 🛠️ Task Sloving：</span>
+  </div>
+  <!-- <div v-if="subRounds.length === 0 && isLatest && pageMode !== 'review'" class="loading-skeleton-wrapper">
+    <el-skeleton :rows="5" animated />
+  </div> -->
+  <div>
+    <el-tabs type="border-card" class="tab-border" tab-position="left" :class="{ isZeroIndex: tabIndex === '0' }"
+      @tab-change="tabChange" @tab-click="tabClick" v-model="tabIndex">
+      <el-tab-pane
+        v-for="({ name, task_id, recruitment, decision_make, aciton_exectuion, evaluation }, index) in subRounds"
+        :key="task_id" class="tab-pane">
+        <template #label>
+          <span class="custom-tabs-label flex-row">
+            <div className="iscomplete-icon-wrapper">
+              <el-icon v-if="currentSubtaskIndex > index || isTaskCompleted">
+                <CircleCheck class="complete-icon" />
+              </el-icon>
+              <img v-if="currentSubtaskIndex === index && !isTaskCompleted" class="complete-icon spinning"
+                src="@/assets/images/playground/tabLoading.svg" />
+            </div>
+            <span className="subtask-name"> <b>SubRound</b> {{ index }}</span>
+            <span>
+
+              <!-- <el-button type="primary" plain color="#3D4AC6" v-if="tabIndex === index + '' &&
+                currentSubtaskIndex === index
+                " v-show="!isSubtaskGenerating &&
+    !isTaskCompleted
+    " :disabled="!currentGoalStr" class="subtask-run-btn" @click="subtaskRun(goal)"> -->
+              <VideoPlay />
+              <!-- </el-button> -->
+            </span>
+          </span>
+          <!-- <el-input v-if="tabIndex === index + ''" :disabled="currentSubtaskIndex > index
+            " class="inputbox-in-tab input-text" :autosize="{ minRows: 2, maxRows: 4 }" type="textarea"
+            v-model="currentGoalStr" /> -->
+
+          <div class="bottom-shadow">
+            <div class="circle1"></div>
+            <div class="circle2"></div>
+          </div>
+        </template>
+        <div class="flex-column subtask-top"></div>
+
+        <!-- Role_Assign -->
+        <div class="inner-title">
+          👥 Role_Assign
+        </div>
+        <div class="subtask-tools-content" :class="{ subtaskToolsContentHide: !showTaskDetail }">
+          <!-- <div class="subtask-tools-content-top" v-show="false">
+            <span class="subIntro" @click="collapseAll">Collapse All</span>
+          </div> -->
+
+          <el-collapse v-model="activeKeys">
+            <TransitionGroup name="inner" tag="div">
+              <el-collapse-item class="task-accordion" v-for="(item, innerIndex) in recruitment" :key="item.node_id"
+                :name="innerIndex + ''">
+                <template #title>
+                  <span class="box-subtask-title">
+                    <b>{{ hashStringToEmoji(item.name) }} {{ item.name }}: </b>
+                  </span>
+                </template>
+                <Inferencing @runComplete="runComplete" @runToNext="runToNext" :waitQueue="[]" :stageId="item.stage_id"
+                  :data="item" :isLast="innerIndex === recruitment.length - 1" :isEndNode="false"
+                  :currentSubtaskIndex="currentSubtaskIndex" :subTaskNumber="index" :innerNumber="innerIndex"
+                  :isInRunningSubtask="index === currentSubtaskIndex" :isInnerNodeGenerating="isInnerNodeGenerating"
+                  :msgID="msgID" :isFreezed="subRounds[index].decision_make.length > 0"
+                  :conversationId="conversationId" />
+              </el-collapse-item>
+            </TransitionGroup>
+            <div v-if="currentSubtaskIndex === index" v-show="subRounds[index].decision_make.length == 0">
+              <el-skeleton :rows="3" animated />
+            </div>
+          </el-collapse>
+        </div>
+        <!-- Role_Assign -->
+
+
+        <!-- Decision_Make -->
+        <div v-show="subRounds[index].decision_make.length > 0">
+          <div class="inner-title">
+            🤔 Decision_Make
+          </div>
+          <div class="subtask-tools-content" :class="{ subtaskToolsContentHide: !showTaskDetail }">
+            <div class="subtask-tools-content-top" v-show="false">
+              <span class="subIntro" @click="collapseAll">Collapse All</span>
+            </div>
+
+            <el-collapse v-model="activeKeys">
+              <TransitionGroup name="inner" tag="div">
+                <el-collapse-item class="task-accordion" v-for="(item, innerIndex) in decision_make" :key="item.node_id"
+                  :name="innerIndex + ''">
+                  <template #title>
+                    <span class="box-subtask-title">
+                      <b> {{ hashStringToEmoji(item.name) }}{{ item.name }}: </b>
+                    </span>
+                  </template>
+                  <Inferencing @runComplete="runComplete" @runToNext="runToNext" :waitQueue="[]" :stageId="item.stage_id"
+                    :data="item" :isLast="innerIndex === recruitment.length - 1" :isEndNode="false"
+                    :currentSubtaskIndex="currentSubtaskIndex" :subTaskNumber="index" :innerNumber="innerIndex"
+                    :isInRunningSubtask="index === currentSubtaskIndex" :isInnerNodeGenerating="isInnerNodeGenerating"
+                    :msgID="msgID" :isFreezed="subRounds[index].aciton_exectuion.length > 0"
+                    :conversationId="conversationId" />
+                </el-collapse-item>
+              </TransitionGroup>
+              <div v-if="currentSubtaskIndex === index" v-show="subRounds[index].aciton_exectuion.length == 0">
+                <el-skeleton :rows="3" animated />
+              </div>
+            </el-collapse>
+          </div>
+        </div>
+        <!-- Decision_Make -->
+
+        <!-- Aciton_Exectuion -->
+        <div v-show="subRounds[index].aciton_exectuion.length > 0">
+          <div class="inner-title">
+            🏃‍♂️ Aciton_Exectuion
+          </div>
+          <div class="subtask-tools-content" :class="{ subtaskToolsContentHide: !showTaskDetail }">
+            <div class="subtask-tools-content-top" v-show="false">
+              <span class="subIntro" @click="collapseAll">Collapse All</span>
+            </div>
+
+            <el-collapse v-model="activeKeys">
+              <TransitionGroup name="inner" tag="div">
+                <el-collapse-item class="task-accordion" v-for="(item, innerIndex) in aciton_exectuion"
+                  :key="item.node_id" :name="innerIndex + ''">
+                  <template #title>
+                    <span class="box-subtask-title">
+                      <b>{{ hashStringToEmoji(item.name) }} {{ item.name }}:</b>
+                    </span>
+                  </template>
+                  <Inferencing @runComplete="runComplete" @runToNext="runToNext" :waitQueue="[]" :stageId="item.stage_id"
+                    :data="item" :isLast="innerIndex === recruitment.length - 1" :isEndNode="false"
+                    :currentSubtaskIndex="currentSubtaskIndex" :subTaskNumber="index" :innerNumber="innerIndex"
+                    :isInRunningSubtask="index === currentSubtaskIndex" :isInnerNodeGenerating="isInnerNodeGenerating"
+                    :msgID="msgID" :isFreezed="subRounds[index].evaluation.length > 0" :conversationId="conversationId" />
+                </el-collapse-item>
+              </TransitionGroup>
+              <div v-if="currentSubtaskIndex === index" v-show="!isTaskCompleted && !subRounds[index].isShowRefinement">
+                <el-skeleton :rows="3" animated />
+              </div>
+            </el-collapse>
+          </div>
+        </div>
+        <!-- Aciton_Exectuion -->
+
+        <div v-show="(
+          subRounds[index].isShowRefinement === true || isTaskCompleted
+        ) && subRounds[index].refinement" class="task-refinement-wrapper" :key="index + 'refinement'">
+          <TaskRefineInfo :data="subRounds[index].refinement" />
+        </div>
+      </el-tab-pane>
+    </el-tabs>
+  </div>
+  <div v-if="subRounds.length === 0 && !isLatest" class="no-data-placeholder">
+    No generated data.
+  </div>
+  <!-- 最新的正在加载中的那一条消息 -->
+</template>
+
+<script setup lang="ts">
+import { ref } from "vue";
+import Inferencing from "./Inferencing.vue";
+import TaskRefineInfo from "./TaskRefineInfo.vue";
+
+const route = useRoute();
+
+const props = defineProps([
+  "msgID",
+  "conversationId",
+  "complete",
+  "mode",
+  "isLatest",
+  "pageMode",
+]);
+
+const emit = defineEmits(["runSubtask", "runInner", "disconnect"]);
+
+const roundStore = useRoundStore();
+// const roundInfo = storeToRefs(roundStore);
+
+const isOnlyExpandLastInner = ref(false);
+
+const isLatest = computed(() => {
+  return props.isLatest;
+}); // 此时是不是消息列表里最新发生的那一条
+
+const pageMode = computed(() => {
+  return props.pageMode;
+}); //
+
+// const { isAutoMode: isAutoMode } = storeToRefs(roundStore);
+
+const getCollapseTitle = (index: number, item: any) => {
+  const _is_end_node = item.isEndNode ? true : false;
+  if (_is_end_node) {
+    return "Submit Subtask Using Tools";
+  } else {
+    return `🤖️ Step ${index + 1}:   ${item.thoughts.substr(0, 30)}...`;
+  }
+};
+const hashStringToEmoji = (name: string) => {
+  // Simple hash function to convert the string to a number
+  let hash = 0;
+  for (let i = 0; i < name.length; i++) {
+    hash = (hash << 5) - hash + name.charCodeAt(i);
+  }
+
+  // Map the number to an index in an array of emojis
+  const emojis = ["😀", "😎", "🤖️", "😍", "😊", "🥳", "👮", "👰", "👱",
+    "👲", "👳", "👴", "👵", "🙈", "🙉", "🙊", "👻", "👽", "🤖", "👤", "🕵️‍♂️", "💂‍♂️",
+    "🕵️‍♀️", "💂‍♀️", "👷‍♂️", "👷‍♀️", "👩‍🚀", "👨‍🚀", "👩‍🎤", "👨‍🎤", "👩‍🎨", "👨‍🎨", "👩‍🔬", "👨‍🔬", "👩‍🚒",
+    "👨‍🚒", "🤵", "👰‍♂️", "👰‍♀️", "👼", "🎅", "🤶", "🧙‍♂️", "🧙‍♀️", "🧚", "🧛‍♂️", "🧛‍♀️", "🧝‍♂️",
+    "🧝‍♀️", "🧞‍♂️", "🧞‍♀️", "🤵‍♂️", "🤵‍♀️", "👰‍♂️", "👰‍♀️", "🤱", "👩‍🍼", "👨‍🍼", "👩‍🎓", "👨‍🎓", "👩‍🏫",
+    "👨‍🏫", "👩‍⚖️", "👨‍⚖️", "👩‍🌾", "👨‍🌾", "👩‍🍳", "👨‍🍳", "👩‍🔧", "👨‍🔧", "👩‍🏭", "👨‍🏭", "👩‍💼", "👨‍💼",
+    "👩‍🔬", "👨‍🔬", "👩‍💻", "👨‍💻", "👩‍🎤", "👨‍🎤", "👩‍🎨", "👨‍🎨", "👩‍🚀", "👨‍🚀", "👩‍🚒", "👨‍🚒", "👩‍✈️",
+    "👨‍✈️", "👩‍🚀", "👨‍🚀", "👩‍✈️", "👨‍✈️", "🤶", "👸", "🤴", "🧝‍♂️", "🧝‍♀️", "👳‍♂️", "👳‍♀️", "👲",
+    "🧕", "👱‍♂️", "👱‍♀️", "🤰", "🤱", "🧖‍♂️", "🧖‍♀️", "🎅", "🤶"];
+
+  const index = Math.abs(hash) % emojis.length;
+
+  // Set the hashedEmoji to the selected emoji
+  return emojis[index];
+};
+const chatMsgInfoStore = useHistoryTalkStore();
+const waitQueue = ref([] as Array<string>);
+const conversationIdN = ref((route.query.id as string) || "config");
+const tabIndex = ref("0" as string);
+
+const setting = chatMsgInfoStore.getSetting(conversationIdN.value);
+
+const isSubtaskGenerating = ref(false);
+
+const isInnerNodeGenerating = ref(true);
+const isInnerNodeEditabled = ref(props?.mode === "auto" ? false : true);
+
+const { isCompleted: isTaskCompleted } = storeToRefs(roundStore);
+
+const {
+  current_subround_index: currentSubtaskIndex,
+} = storeToRefs(roundStore);
+
+const { subrounds: subRounds } = storeToRefs(roundStore);
+
+// const currentGoalStr = computed({
+//   get: () => {
+//     return roundInfo.subrounds.value[parseInt(tabIndex.value)].goal;
+//   },
+//   set: (val) => {
+//     roundStore.setStepGoal(parseInt(tabIndex.value), val);
+//   },
+// });
+
+const activeKeys = ref([] as Array<string>);
+const showTaskDetail = ref(true);
+
+
+// watch(currentInnerIndex, (val) => {
+//   const inners = roundInfo.subrounds.value[parseInt(tabIndex.value)].inner;
+//   const len = inners.length;
+
+//   if (isOnlyExpandLastInner.value) {
+//     if (inners && len < 2) {
+//       activeKeys.value = inners.map((item: any, index: number) => (index + ""));
+
+//     } else {
+//       activeKeys.value = [len - 1 + ""];
+//       // if(tabIndex.value === currentSubtaskIndex + "") {
+//       //   activeKeys.value = [len - 1 + ""];
+//       // } 
+//       // only  set on current active tab
+//     }
+//     // set the last one as  active
+//   } else {
+//     if (val === 0) {
+//       activeKeys.value = [];
+//     } else {
+//       const _ = val - 1;
+//       activeKeys.value.push(_.toString());
+//     }
+//   }
+// });
+
+watch(currentSubtaskIndex, (newVal, oldVal) => {
+  // if(tabIndex.value !== oldVal + "") {
+
+  // } // 
+  tabIndex.value = newVal + "";
+});
+
+const insertQueue = () => {
+  // const queue = [] as Array<string>
+  // props.subtasks[props.subtasks.length - 1].tools.forEach((cmp: any) => {
+  //   queue.push(cmp.id)
+  // })
+  // waitQueue.value = queue
+};
+// watch(props.subRounds, ()=>{
+//   debugger
+// })
+let insertQueueOnce = () => {
+  insertQueue();
+  insertQueueOnce = () => { };
+};
+watchEffect(() => {
+  if (props.mode === "auto") {
+    if (props.complete) {
+      insertQueueOnce();
+      return;
+    }
+    // if(props.subtasks) {
+    //   // 执行队列操作
+    //   insertQueue()
+    // }
+  }
+});
+
+onBeforeMount(() => {
+  if (props.mode === "auto") {
+    if (!props.complete) {
+      insertQueue();
+    }
+  }
+});
+
+// 执行queue的anshift操作
+const runComplete = () => {
+  waitQueue.value.shift();
+};
+const tabChange = (val: string) => {
+  tabIndex.value = val;
+};
+
+const changeShow = () => {
+  showTaskDetail.value = !showTaskDetail.value;
+};
+
+const tabClick = (val: string) => { };
+
+// const subtaskRun = (querystr: any) => {
+//   emit("runSubtask", querystr);
+//   isSubtaskGenerating.value = true;
+//   if (currentInnerIndex.value === 0 || props.mode === "auto") {
+//     isInnerNodeGenerating.value = true;
+//   }
+// };
+
+const runToNext = (query: any) => {
+  emit("runInner", query);
+  isInnerNodeGenerating.value = true;
+};
+
+const gotNewInnerNode = () => {
+  isSubtaskGenerating.value = false;
+  if (props.mode === "manual") {
+    isInnerNodeGenerating.value = false;
+  }
+};
+
+const jumpToNextSubtask = () => {
+  isSubtaskGenerating.value = false;
+  if (props.mode === "manual") {
+    isInnerNodeGenerating.value = false;
+  }
+};
+
+const isAllCollapsed = ref(false);
+
+const collapseAll = () => {
+  activeKeys.value = [];
+  isAllCollapsed.value = true;
+};
+
+// const expandAll = () => {
+//   activeKeys.value = subRounds.value[parseInt(tabIndex.value)].inner.map(
+//     (item: any, index: number) => {
+//       return index + "";
+//     }
+//   );
+// };
+
+const setTaskComplete = () => {
+  isTaskCompleted.value = true;
+  isInnerNodeGenerating.value = false;
+  isSubtaskGenerating.value = false;
+};
+
+defineExpose({
+  gotNewInnerNode,
+  jumpToNextSubtask,
+  setTaskComplete,
+});
+</script>
+
+<style scoped lang="scss">
+@import url(../../../assets/css/animation.css);
+
+.el-tabs {
+  :deep(.el-tabs__content) {
+    min-height: 400px;
+  }
+}
+
+.box-subtask-title {
+  display: inline-block;
+  white-space: nowrap;
+  width: 100%;
+  overflow: hidden;
+  text-overflow: ellipsis;
+  line-clamp: 1;
+  -webkit-line-clamp: 1;
+  margin-left: -10px;
+  padding-left: 5px;
+  max-width: calc(64vw - 400px);
+  text-align: left
+}
+
+.bottom-shadow {
+  display: none;
+}
+
+.tab-border {
+  background-color: unset;
+  border: 0;
+  width: 100% !important;
+
+  .subtask-name {
+    height: auto;
+    line-clamp: 1;
+    display: block;
+    overflow: hidden;
+    width: auto;
+    max-width: 170px;
+    white-space: pre-wrap;
+    text-align: left;
+    text-overflow: ellipsis;
+  }
+
+  .custom-tabs-label {
+    align-items: center;
+    column-gap: 4px;
+    display: flex;
+    flex-direction: row;
+    justify-content: flex-start;
+    align-items: flex-start;
+
+    .iscomplete-icon-wrapper {
+      height: 30px;
+      width: 15px;
+      padding: 0;
+      padding-top: 3px;
+      text-align: left;
+
+      .complete-icon {
+        height: 14px;
+        width: 14px;
+        color: #0a9d00;
+        margin: 0;
+      }
+
+      .spinning {
+        animation: linear rotate_animate 1.5s infinite;
+      }
+    }
+  }
+
+  .header-row {
+    width: 100%;
+    height: 50px;
+    line-height: 50px;
+    padding: 12px 20px;
+    background: rgba(255, 255, 255, 0.9);
+    border-radius: 8px;
+  }
+
+  .extend {
+    align-items: center;
+    justify-content: space-between;
+    background: rgba(255, 255, 255, 0.9);
+    border-radius: 8px;
+    padding: 12px 20px;
+    margin-top: 10px;
+    margin-bottom: 12px;
+
+    .icon {
+      height: 20px;
+      width: 20px;
+      background-color: #676c90;
+    }
+
+    .intro {
+      font-family: PingFangSC-Medium;
+      font-size: 14px;
+      color: #1c2848;
+      letter-spacing: 0;
+      line-height: 26px;
+      font-weight: 500;
+      white-space: nowrap;
+      overflow: hidden;
+      text-overflow: ellipsis;
+      line-clamp: 1;
+      height: 26px;
+    }
+
+    .sub-intro {
+      color: #676c90;
+      font-family: PingFangSC-Medium;
+      letter-spacing: 0;
+      font-size: 14px;
+      line-height: 26px;
+      font-weight: 500;
+      white-space: nowrap;
+      overflow: hidden;
+      text-overflow: ellipsis;
+      line-clamp: 1;
+      height: 26px;
+    }
+
+    .extendBtn {
+      height: 15px;
+      width: 15px;
+      cursor: pointer;
+    }
+  }
+
+  .inner-title {
+    font-family: PingFangSC-Medium;
+    font-size: 14px;
+    color: #1c2848;
+    letter-spacing: 0;
+    line-height: 26px;
+    font-weight: 500;
+    margin-bottom: 10px !important;
+
+    .inner-step {
+      color: #676c90;
+      font-family: "PingFangSC-Regular";
+      font-weight: 400;
+    }
+  }
+
+  .subtask-tools-content {
+    .subtask-tools-content-top {
+      font-size: 14px;
+      letter-spacing: 0;
+      line-height: 26px;
+      margin-bottom: 8px;
+
+      .intro {
+        font-family: PingFangSC-Medium;
+        color: #1c2848;
+        font-weight: 500;
+        padding-left: 10px;
+      }
+
+      .subIntro {
+        font-family: PingFangSC-Regular;
+        color: #676c90;
+        font-weight: 400;
+        cursor: pointer;
+      }
+    }
+
+    :deep(.el-collapse) {
+      border: none !important;
+
+      .el-collapse-item {
+        margin-bottom: 10px;
+        border-radius: 8px;
+        overflow: hidden;
+        position: relative;
+      }
+
+      .el-collapse-item__content {
+        border-radius: 0 0 8px 8px !important;
+        padding-bottom: 0px !important;
+        overflow: hidden !important;
+      }
+
+      .el-collapse-item__header {
+        padding-left: 20px;
+        font-family: PingFangSC-Medium;
+        font-size: 14px;
+        color: #1c2848;
+        letter-spacing: 0;
+        line-height: 48px;
+        font-weight: 500;
+        white-space: nowrap;
+        overflow: hidden;
+        line-clamp: 1;
+        height: 48px;
+        background-color: #fff;
+      }
+
+      .is-active {
+        .el-collapse-item__wrap {
+          border-radius: 0px;
+        }
+      }
+    }
+  }
+
+  // 组建样式修改
+  :deep(.el-tabs--border-card) {
+    background-color: unset;
+    border: 0;
+  }
+
+  :deep(.el-tabs__header) {
+    background-color: transparent !important;
+    border-color: transparent !important;
+    box-shadow: none !important;
+    margin-right: -1px !important;
+  }
+
+  :deep(.el-tabs__content) {
+    background-color: rgb(245, 246, 249);
+    border-radius: 8px;
+  }
+
+  :deep(.el-tabs__nav) {
+    padding-bottom: 10px;
+    gap: 10px;
+
+    .el-tabs__item {
+      height: auto;
+      width: 240px;
+      border-radius: 8px;
+      border: 0;
+      position: relative;
+      transition: 0s;
+      font-family: "PingFangSC-Medium";
+      font-size: 14px;
+      color: #1c2848;
+      letter-spacing: 0;
+      line-height: 26px;
+      font-weight: 500;
+      display: flex;
+      flex-direction: column;
+      align-items: flex-start;
+      justify-content: center;
+      padding: 12px 20px 15px 20px !important;
+
+      textarea {
+        width: 100%;
+        max-width: 262px;
+        resize: none;
+        border: none;
+        background: transparent;
+        border-color: transparent;
+        -ms-overflow-style: none;
+        /* IE and Edge */
+        scrollbar-width: none;
+        /* Firefox */
+
+        &::-webkit-scrollbar {
+          display: none;
+        }
+      }
+    }
+
+    .is-active {
+      background-color: rgb(245, 246, 249);
+      color: aliceblue;
+      font-family: "PingFangSC-Medium";
+      font-size: 14px;
+      color: #1c2848;
+      letter-spacing: 0;
+      line-height: 26px;
+      font-weight: 500;
+      border-radius: 8px 0 0 8px;
+      width: auto;
+
+      textarea {
+        width: 100%;
+        max-width: 262px;
+        resize: none;
+        background: #ffffff;
+        border-color: #dcdcdc;
+        border-radius: 8px;
+        font-family: "PingFangSC-Regular";
+        font-size: 14px;
+        color: rgba(0, 0, 0, 0.9);
+        letter-spacing: 0;
+        line-height: 22px;
+        font-weight: 400;
+      }
+
+      .bottom-shadow {
+        position: relative;
+        background-color: rgb(23, 71, 215);
+        overflow: hidden;
+        z-index: 10;
+
+        .circle1 {
+          position: absolute;
+          height: 20px;
+          width: 20px;
+          left: -10px;
+          top: -11px;
+          background-color: rgb(236, 237, 245);
+          border-radius: 50%;
+        }
+
+        .circle2 {
+          position: absolute;
+          height: 20px;
+          width: 20px;
+          right: -10px;
+          top: -11px;
+          background-color: rgb(236, 237, 245);
+          border-radius: 50%;
+        }
+      }
+    }
+  }
+}
+
+.isZeroIndex {
+  :deep(.el-tabs__content) {
+    border-top-left-radius: 0;
+  }
+}
+
+.subtaskToolsContentHide {
+  height: 0px;
+  overflow: hidden;
+}
+
+.input-text {
+  font-family: "PingFangSC-Regular";
+  font-size: 14px;
+  color: #676c90;
+  letter-spacing: 0;
+  line-height: 26px;
+  font-weight: 400;
+  max-width: 215px;
+  white-space: pre-wrap;
+  text-align: left;
+  text-overflow: ellipsis;
+  line-clamp: 2;
+}
+
+.subtask-run-btn {
+  background: transparent !important;
+  font-family: "PingFangSC-Medium";
+  font-size: 12px;
+  letter-spacing: 0;
+  line-height: 18px;
+  font-weight: 500;
+  cursor: pointer;
+  outline: none;
+  margin-left: 10px;
+  position: absolute;
+  right: 5px;
+  top: 10px;
+  height: 24px;
+  text-align: center;
+  width: auto;
+  height: auto;
+  border-radius: 50%;
+  border: none !important;
+
+  span {
+    background-color: #fff;
+
+    svg {
+      color: #3d4ac6;
+      line-height: 24px;
+      height: 18px !important;
+      width: 18px !important;
+    }
+  }
+}
+
+.content-title {
+  font-family: PingFangSC-Medium;
+  font-size: 14px;
+  color: #1c2848;
+  letter-spacing: 0;
+  line-height: 26px;
+  margin-bottom: 12px;
+
+  span {
+    font-weight: 700 !important;
+  }
+}
+
+.no-data-placeholder {
+  width: 100%;
+  border-radius: 8px;
+  padding: 12px 20px;
+  background: rgba(240, 240, 240, 0.9);
+  font-family: "PingFangSC-Medium";
+  font-size: 14px;
+  color: #1c2848;
+}
+
+.inner-enter-active,
+.inner-leave-active {
+  transition: all 0.5s ease;
+}
+
+.inner-enter-from,
+.inner-leave-to {
+  opacity: 0;
+  transform: translateX(30px);
+}
+
+.loading-skeleton-wrapper {
+  background: rgba(255, 255, 255, 0.4);
+  padding: 20px;
+  border-radius: 8px;
+  border: none;
+}
+</style>
+<!-- <style lang="scss">
+
+</style> -->
diff --git a/AgentVerseWeb/src/views/playground/components/TaskRefineInfo.vue b/AgentVerseWeb/src/views/playground/components/TaskRefineInfo.vue
new file mode 100644
index 000000000..b680abffe
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/components/TaskRefineInfo.vue
@@ -0,0 +1,123 @@
+<template>
+    <div class="task-refine-info">
+        <div class="task-refine-info-title">
+            <span> 🔍 Evaluation</span>
+        </div>
+        <div class="task-refine-info-content">
+            <div class="task-refine-info-content-item">
+                <span class="task-refine-info-content-item-title">SubRound Score:</span>
+                <json-viewer class="subround-score" :class="{ 'subround-score-true': subround_score }" :expand-depth="0"
+                    :expanded="false" :value="subround_score"></json-viewer>
+                <!-- <json-viewer :expand-depth="0" :expanded="false" v-else :value="subround_score"></json-viewer> -->
+            </div>
+            <div class="task-refine-info-content-item">
+                <span class="task-refine-info-content-item-title">SubRound Advice:</span>
+                <json-viewer :expand-depth="0" :expanded="false" :value="subround_advice"></json-viewer>
+            </div>
+            <!-- <div class="task-refine-info-content-item">
+                <span class="task-refine-info-content-item-title">Posterior Tool Reflection:</span>
+                <json-viewer :expand-depth="0" :expanded="false" :value="posterior_tool_reflection"></json-viewer>
+            </div> -->
+        </div>
+    </div>
+</template>
+
+<script lang="ts" setup>
+
+import { ref } from 'vue'
+
+const props = defineProps(['data'])
+
+const objectToString = (obj: any) => {
+    return JSON.stringify(obj)
+}
+
+const subround_score = computed(
+    () => props?.data?.score)
+const subround_advice = computed(
+    () => props?.data?.advice)
+const posterior_tool_reflection = computed(
+    () => props?.data?.tool_reflection)
+
+</script>
+
+<style lang="scss" scoped>
+.json-viewer .subround-score-true {
+    color: #00ff00 !important;
+}
+
+.task-refine-info {
+    width: 100%;
+    height: 100%;
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+    justify-content: flex-start;
+
+    .task-refine-info-title {
+        width: 100%;
+        height: 10%;
+        display: flex;
+        flex-direction: row;
+        justify-content: flex-start;
+        align-items: flex-start;
+        font-family: PingFangSC-Medium;
+        font-size: 14px;
+        color: #1C2848;
+        letter-spacing: 0;
+        line-height: 26px;
+        font-weight: 500;
+    }
+
+    .task-refine-info-content {
+        width: 100%;
+        height: 90%;
+        display: flex;
+        flex-direction: column;
+        align-items: center;
+
+        .task-refine-info-content-item {
+            width: 100%;
+            height: auto;
+            display: flex;
+            flex-direction: column;
+            align-items: flex-start;
+            justify-content: flex-start;
+            background: #FFFFFF;
+            border-radius: 8px;
+            margin: 5px 0;
+            padding: 8px 10px;
+
+            .task-refine-info-content-item-title {
+                width: 100%;
+                height: auto;
+                font-size: 15px;
+                margin-left: 5px;
+                flex: 0 0 auto;
+                padding: 0;
+                background-color: transparent;
+                font-family: PingFangSC-Regular;
+                text-align: left;
+            }
+
+            .task-refine-info-content-item-content {
+                width: calc(100% - 150px);
+                height: auto;
+                display: flex;
+                justify-content: center;
+                align-items: center;
+                font-size: 15px;
+
+            }
+
+            :deep(.jv-code) {
+                padding: 5px 5px !important;
+            }
+        }
+    }
+}
+
+:deep(.jv-item.jv-string) {
+    color: #676C90 !important;
+}
+</style>
diff --git a/AgentVerseWeb/src/views/playground/index.vue b/AgentVerseWeb/src/views/playground/index.vue
new file mode 100644
index 000000000..b3aebad54
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/index.vue
@@ -0,0 +1,129 @@
+<template>
+  <section class="container-box flex-column">
+    <Setting />
+    <!-- <FileUpload/> -->
+    <div class="input-border flex-column">
+      <div class="input-box">
+        <TalkInput :message="input_data" @send-message="sendMessageHandler" />
+      </div>
+      <div class="warning flex-row">
+        <span> Disclaimer: The content is probabilistically generated by the model,
+          and does NOT represent the developer's viewpoint</span>
+      </div>
+    </div>
+  </section>
+</template>
+
+<script setup lang="ts">
+
+import Setting from "./components/Setting.vue";
+import { ElMessage } from "element-plus";
+import generateRandomId from "/@/utils/uuid";
+
+const chatMsgInfoStore = useHistoryTalkStore()
+useAsset('/path')
+const input_data = reactive({
+  task_des: '',
+  cnt_agents: '',
+})
+const router = useRouter()
+const historyTalkStore = useHistoryTalkStore()
+
+// const agent = ref('');
+// const mode = ref('')
+
+// const settingChange = (val: any) => {
+//   agent.value = val.agent
+//   mode.value = val.mode
+//   chatMsgInfoStore.setSetting('config', val)
+// }
+
+const sendMessageHandler = (val: any) => {
+  console.log("recieve args in playground vue", val);
+  const uuid = generateRandomId();
+  if (val.task_des === '' || val.cnt_agents === '') {
+    console.log("in sendMessageHandler wrong!!!")
+    ElMessage({
+      message: 'Please input message',
+      type: 'warning'
+    });
+    nextTick(() => {
+      input_data.task_des = val.task_des;
+      input_data.cnt_agents = val.cnt_agents;
+    })
+  } else {
+    console.log("in sendMessageHandler right!!!")
+    historyTalkStore.setCurrentInput(val)
+    console.log("in sendMessageHandler right!!!", historyTalkStore.currentInput)
+    router.push({
+      name: 'NewTalk',
+      params: {
+        mode: "new",
+        id: uuid,
+      }
+    });
+  }
+}
+</script>
+
+<style scoped lang="scss">
+.container-box {
+  position: relative;
+  background-color: rgb(236, 237, 245);
+  padding: 34px calc(50% - 26vw) 60px;
+  width: 100%;
+  gap: 24px;
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+
+  .news,
+  .ability,
+  .feature {
+    gap: 24px;
+    width: calc(100% / 3);
+  }
+}
+
+.input-border {
+  z-index: 5;
+  position: absolute;
+  left: 0px;
+  bottom: 0px;
+  width: 100%;
+  align-items: center;
+  padding-top: 16px;
+  background: rgb(240, 241, 250);
+  box-shadow: inset 0 1px 3px 0 #FFFFFF;
+
+  .input-box {
+    width: 52vw;
+  }
+
+  .warning {
+    width: 64vw;
+    justify-content: center;
+    font-family: PingFangSC-Regular;
+    font-size: 12px;
+    color: #dddddd;
+    font-weight: 400;
+    margin-top: 32px;
+    margin-bottom: 20px;
+    gap: 24px;
+    text-align: center;
+
+    span {
+      color: #ddd;
+      text-decoration: none;
+    }
+
+    span:active {
+      color: #ddd;
+    }
+  }
+}
+
+// @media screen and (max-width: 1440px) {
+
+// }
+</style>
diff --git a/AgentVerseWeb/src/views/playground/layout.vue b/AgentVerseWeb/src/views/playground/layout.vue
new file mode 100644
index 000000000..016b963cd
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/layout.vue
@@ -0,0 +1,37 @@
+<template>
+  <section class="demo-box flex-row">
+    <HistorySidebar />
+    <router-view />
+  </section>
+</template>
+
+<script setup lang="ts">
+import HistorySidebar from './components/HistorySidebar.vue'
+import { onMounted } from 'vue';
+
+onMounted(() => {
+});
+
+</script>
+
+<style scoped lang="scss">
+.demo-box {
+  display: grid;
+  grid-template-columns: 260px 1fr;
+}
+
+@media screen and (max-width: 1440px) {
+  .demo-box .info .info-title {
+    margin-left: 20%;
+    justify-content: flex-start;
+  }
+  .demo-box .demo .demo-wrapper {
+    display: grid;
+
+    grid-template-columns: max-content auto;
+    .demo-item {
+      width: 100%;
+    }
+  }
+}
+</style>
diff --git a/AgentVerseWeb/src/views/playground/share.vue b/AgentVerseWeb/src/views/playground/share.vue
new file mode 100644
index 000000000..e4dd44816
--- /dev/null
+++ b/AgentVerseWeb/src/views/playground/share.vue
@@ -0,0 +1,399 @@
+<template>
+  <div class="main-page-container history-list">
+    <div class="main-page-wrapper">
+      <h3>Conversations Shared by Our Community</h3>
+      <div>
+        <!-- by zhpeng -->
+        <el-pagination
+          v-model:current-page="currentPage"
+          v-model:page-size="pageSize"
+          layout="total, ->, prev, pager, next"
+          :total="total"
+          @size-change="handleSizeChange"
+          @current-change="handleCurrentChange"
+          :hide-on-single-page="true"
+        />
+      </div>
+      <div class="conversations-list-wrapper" id="main-page-convs-list-wrapper">
+        
+        <div
+          v-for="(item, index) in sharedTalksArr"
+          :key="item.interaction_id"
+          class="history-item conversations-list-item-card"
+          :class="{ active: item.interaction_id === route.query.id }"
+        >
+          <!-- <img src="@/assets/images/playground/qp.svg" alt="" class="icon" draggable="false"/> -->
+          <div class="header-info-row">
+            <span class="order-info">
+              {{ item.agent || "-" }} / {{ item.mode || "-" }}
+            </span>
+            <span class="setting-info"> </span>
+          </div>
+
+          <el-tooltip class="box-item" effect="dark" placement="top">
+            <template #content>
+              <div class="content-in-tooltip" slot="content">
+                {{ item.parameters[0].goal }}
+              </div>
+            </template>
+            <span class="ellipsis convs-title-name">
+              {{ item.parameters[0].goal }}
+            </span>
+          </el-tooltip>
+
+          <div class="footer-info-row">
+            <span class="creator-info">
+              by: {{ item.user_name || "Community User" }}
+            </span>
+          </div>
+          <span class="delete_btn flex-row">
+            <span
+              class="playback-icon"
+              title="Run the task"
+              @click="runSharedItem(item, index)"
+            >
+              <VideoPlay />
+            </span>
+          </span>
+        </div>
+      </div>
+      
+    </div>
+  </div>
+</template>
+
+<script lang="ts" setup>
+import { ElMessage } from "element-plus";
+import { ref } from "vue";
+
+const route = useRoute();
+const router = useRouter();
+
+const conversationsList = ref(
+  new Array(10).fill(0).map((_, index) => {
+    return {
+      id: index,
+      name: `name-${index}`,
+      avatar: `avatar-${index}`,
+      lastMessage: `lastMessage-${index}`,
+      lastMessageTime: `lastMessageTime-${index}`,
+      unreadCount: index,
+    };
+  })
+);
+
+const chatMsgInfoStore = useHistoryTalkStore();
+const sharedTalksArr = computed(() => chatMsgInfoStore.getSharedArr);
+
+const runSharedItem = (item: any, index: number) => {
+  router.push({
+    name: "NewTalk",
+    params: {
+      id: item.interaction_id,
+      mode: "runshared",
+    },
+  });
+};
+
+const userStore = useUserStore();
+const userInfo = userStore.getUserInfo;
+const currentPage = ref(1);
+const pageSize = ref(20);
+const total = ref(0);
+
+const handleSizeChange = async (val: number) => {
+  pageSize.value = val;
+  currentPage.value = 1;
+  await getSharedData();
+};
+
+const handleCurrentChange = async (val: number) => {
+  currentPage.value = val;
+  await getSharedData();
+};
+
+const getSharedData = async () => {
+  const res = await useSharedConvsRequest({
+    user_id: userInfo?.user_id,
+    token: userInfo?.token,
+    page_size: pageSize.value,
+    page_num: currentPage.value,
+  });
+
+  if (res?.success === true || res?.message === "success") {
+    chatMsgInfoStore.setSharedArr(res?.data?.rows || []);
+    total.value = res?.data?.total || 0;
+  } else {
+    ElMessage({ type: "error", message: res?.message || "Failed to get data" });
+  }
+};
+
+onMounted(() => {
+  const getSharedTalks = async () => {
+    await getSharedData();
+  };
+  getSharedTalks();
+});
+</script>
+
+<style lang="scss" scoped>
+$convs-list-item-width: 250px;
+
+.main-page-container {
+  padding: 20px calc(50vw - 130px - 32vw)  60px;
+  height: 100%;
+  background-color: rgb(236, 237, 245);
+
+  h3 {
+    font-size: 30px !important;
+    line-height: 32px;
+    margin: 0 0 20px 0;
+  }
+
+  .main-page-logo-header {
+    padding: 0;
+    height: auto;
+    width: auto;
+    max-width: 80vw;
+    border: 1px solid red;
+    background-color: blue;
+    margin: 20px auto 0 auto;
+
+    display: flex;
+    flex-direction: column;
+    align-items: center;
+
+    .logo_name_border {
+      margin: 40px 0px 32px 0px;
+      align-items: center;
+      .logo {
+        height: 30px;
+        width: 36px;
+        margin-bottom: 16px;
+      }
+      .name {
+        line-height: 16px;
+        font-size: 16px;
+      }
+    }
+    .new-talk {
+      cursor: pointer;
+      user-select: none;
+      background: #3d4ac6;
+      border-radius: 8px;
+      font-family: MiSans-Regular;
+      font-size: 15px;
+      height: 40px;
+      flex-basis: 40px;
+      color: #ffffff;
+      text-align: center;
+      font-weight: 400;
+      margin: 0px 24px;
+      width: 200px;
+    }
+  }
+
+  .conversations-list-wrapper {
+    padding: 0;
+    height: auto;
+    width: 100%;
+    max-width: 80vw;
+    display: grid;
+    grid-template-columns: repeat(
+      auto-fill,
+      minmax($convs-list-item-width, 1fr)
+    );
+    grid-gap: 20px;
+
+    .conversations-list-item-card {
+      padding: 0.8em !important;
+      height: 120px;
+      width: 100%;
+      max-width: 80vw;
+      margin: 20px auto 0 auto;
+      box-shadow: 0 3px 6px 0 rgba(0, 0, 0, 0.25);
+      transition: 0.3s;
+      border-radius: 8px;
+      align-items: flex-start;
+      background-color: #f7f7fd;
+
+      &:hover {
+        box-shadow: 0 6px 12px 0 rgba(0, 0, 0, 0.25);
+        scale: 1.01;
+      }
+    }
+  }
+}
+
+.history-list {
+  overflow-y: auto;
+  gap: 1px;
+  flex: 1;
+  .history-item {
+    background-color: #fefefe;
+    cursor: pointer;
+    display: flex;
+    flex-direction: column;
+    gap: 8px;
+    align-items: flex-start !important;
+    justify-content: flex-start;
+    word-break: break-all;
+    user-select: none;
+    font-family: MiSans-Normal;
+    font-size: 16px;
+    color: #494e5e;
+    margin: 0 10px;
+    padding: 16px 18px;
+    position: relative;
+
+    .header-info-row {
+      width: 100%;
+      height: 16px;
+      display: flex;
+      flex-direction: row;
+      position: relative;
+      justify-content: space-between;
+      align-items: center;
+      margin-bottom: 10px;
+      .setting-info {
+        bottom: 5px;
+        right: 10px;
+        font-family: MiSans-Normal;
+        font-size: 12px;
+        line-height: 16px;
+        color: #a4a9b6;
+      }
+      .order-info {
+        bottom: 5px;
+        left: 10px;
+        font-family: MiSans-Normal;
+        font-size: 12px;
+        line-height: 16px;
+        color: #a4a9b6;
+        border-radius: 50%;
+        text-align: center;
+      }
+    }
+
+    .footer-info-row {
+      width: 100%;
+      display: flex;
+      flex-direction: row;
+      justify-content: space-between;
+      align-items: center;
+      position: absolute;
+      bottom: 10px;
+      left: 10px;
+
+      .creator-info {
+        bottom: 5px;
+        left: 10px;
+        font-family: MiSans-Normal;
+        font-size: 12px;
+        line-height: 16px;
+        color: #a4a9b6;
+      }
+    }
+
+    .icon {
+      width: 16px;
+
+      svg {
+        width: 100%;
+        height: 100%;
+        path {
+          fill: #3d4ac6 !important;
+        }
+      }
+    }
+
+    &:hover {
+      // color: #3d4ac6;
+      background: #fff;
+      border-radius: 4px;
+
+      .delete_btn {
+        display: flex;
+        width: auto;
+      }
+    }
+    .delete_btn {
+      width: auto;
+      height: 100%;
+      background-image: linear-gradient(
+        269deg,
+        #ffffff 50%,
+        rgba(255, 255, 255, 0) 100%
+      );
+      border-radius: 4px;
+      position: absolute;
+      right: 0;
+      bottom: 0;
+      display: none;
+      align-items: flex-end;
+      justify-content: center;
+      padding-bottom: 10px;
+
+      span {
+        display: inline-flex;
+        justify-content: center;
+        align-items: center;
+        width: 25px;
+        height: 25px;
+        margin-right: 8px;
+
+        &:hover {
+          background: #e1e5fa;
+          border-radius: 4px;
+
+          :deep(svg) {
+            // margin: 0 12px 0 auto;
+            width: 20px;
+            height: 20px;
+
+            path {
+              fill: #3d4ac6;
+            }
+          }
+        }
+      }
+    }
+  }
+  .history-item.active {
+    // color: #3d4ac6;
+    background: #fff;
+    border-radius: 4px;
+  }
+  .no-data {
+    height: 100%;
+    font-family: MiSans-Normal;
+    font-size: 12px;
+    line-height: 16px;
+    color: #a4a9b6;
+    img {
+      padding-right: 24px;
+      margin-bottom: 30px;
+    }
+  }
+
+  .no-data.loading::after {
+    content: attr(data-loading);
+  }
+}
+
+.main-page-wrapper {
+  border-radius: 8px;
+  background-color: #fff;
+  padding: 20px;
+  width: 100%;
+  // height: 100%;
+}
+
+.content-in-tooltip {
+  width: 200px;
+  height: auto;
+  padding: 0;
+  white-space: normal;
+  word-break: break-all;
+}
+</style>
diff --git a/AgentVerseWeb/src/vite-env.d.ts b/AgentVerseWeb/src/vite-env.d.ts
new file mode 100644
index 000000000..11f02fe2a
--- /dev/null
+++ b/AgentVerseWeb/src/vite-env.d.ts
@@ -0,0 +1 @@
+/// <reference types="vite/client" />
diff --git a/AgentVerseWeb/tsconfig.json b/AgentVerseWeb/tsconfig.json
new file mode 100644
index 000000000..71c0f80f2
--- /dev/null
+++ b/AgentVerseWeb/tsconfig.json
@@ -0,0 +1,27 @@
+{
+  "compilerOptions": {
+    "target": "ESNext",
+    "useDefineForClassFields": true,
+    "module": "ESNext",
+    "moduleResolution": "Node",
+    "strict": true,
+    "jsx": "preserve",
+    "baseUrl": ".",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "esModuleInterop": true,
+    "allowImportingTsExtensions": true,
+    "lib": ["ESNext", "DOM"],
+    "typeRoots": ["./node_modules/@types/", "./types"],
+    "skipLibCheck": true,
+    "noEmit": true,
+    "allowJs": true,
+    "paths": {
+      "/@/*": ["src/*"],
+      "/#/*": ["types/*"]
+    }
+  },
+  "include": ["src/**/*.ts", "src/**/*.d.ts", "src/**/*.tsx", "src/**/*.vue", "types/**/*.d.ts", "types/**/*.ts", "./auto-imports.d.ts", "src/api/backend.js"],
+  "exclude": ["node_modules", "tests/server/**/*.ts", "dist", "**/*.js"],
+  "references": [{ "path": "./tsconfig.node.json" }]
+}
diff --git a/AgentVerseWeb/tsconfig.node.json b/AgentVerseWeb/tsconfig.node.json
new file mode 100644
index 000000000..b32443ec0
--- /dev/null
+++ b/AgentVerseWeb/tsconfig.node.json
@@ -0,0 +1,12 @@
+{
+  "compilerOptions": {
+    "composite": true,
+    "module": "ESNext",
+    "moduleResolution": "Node",
+    "allowSyntheticDefaultImports": true,
+  },
+  "include": [
+    "vite.config.ts",
+    "src/api/backend.ts"
+  ]
+}
diff --git a/AgentVerseWeb/types/global.d.ts b/AgentVerseWeb/types/global.d.ts
new file mode 100644
index 000000000..f2815a4ae
--- /dev/null
+++ b/AgentVerseWeb/types/global.d.ts
@@ -0,0 +1,33 @@
+import { Fn } from '@vueuse/core'
+import type { VNode, VNodeChild, ComponentPublicInstance, FunctionalComponent, PropType as VuePropType } from 'vue'
+
+declare global {
+  interface ViteEnv {
+    VITE_PUBLIC_PATH: string
+    IS_PROD: string
+  }
+
+  declare type Nullable<T> = T | null
+  declare type Recordable<T = any> = Record<string, T>
+
+  interface Window {
+    MathJax: {
+      typeset(): any
+    }
+    IS_PROD: string
+  }
+}
+
+declare module '@/assets/data/data.js'
+
+declare module 'vue' {
+  export type JSXComponent<Props = any> = { new (): ComponentPublicInstance<Props> } | FunctionalComponent<Props>
+}
+
+declare module 'tinymce'
+
+declare module '*.vue' {
+  import { DefineComponent } from 'vue'
+  const Component: DefineComponent<{}, {}, any>
+  export default Component
+}
diff --git a/AgentVerseWeb/types/index.ts b/AgentVerseWeb/types/index.ts
new file mode 100644
index 000000000..ce2a8f229
--- /dev/null
+++ b/AgentVerseWeb/types/index.ts
@@ -0,0 +1,9 @@
+declare interface Fn<T = any, R = T> {
+  (...arg: T[]): R
+}
+
+export interface AxiosResponse<T = any> {
+  data: T
+}
+
+export {}
diff --git a/AgentVerseWeb/types/router-type.ts b/AgentVerseWeb/types/router-type.ts
new file mode 100644
index 000000000..224e13b48
--- /dev/null
+++ b/AgentVerseWeb/types/router-type.ts
@@ -0,0 +1,12 @@
+import { RouteMeta, RouteRecordRaw } from 'vue-router'
+
+// export type Component<T extends any = any> =
+//   | ReturnType<typeof defineComponent>
+//   | (() => Promise<typeof import('*.vue')>)
+//   | (() => Promise<T>)
+
+// export interface AppRouteRecordRaw extends Omit<RouteRecordRaw, 'meta'> {
+//   name: string
+//   meta: RouteMeta
+//   component: Component
+// }
diff --git a/AgentVerseWeb/types/store.ts b/AgentVerseWeb/types/store.ts
new file mode 100644
index 000000000..0d65d91c9
--- /dev/null
+++ b/AgentVerseWeb/types/store.ts
@@ -0,0 +1,9 @@
+import { UserInfo } from './user'
+import { USER_INFO } from '/@/composables/useEnums'
+export interface BasicConst {
+  [USER_INFO]: UserInfo
+  [STORAGE_TOKEN]: string
+  [HISTORY_TALK]: string
+}
+
+export type BasicKeys = keyof BasicConst
diff --git a/AgentVerseWeb/types/talk-type.ts b/AgentVerseWeb/types/talk-type.ts
new file mode 100644
index 000000000..ff3fe1e82
--- /dev/null
+++ b/AgentVerseWeb/types/talk-type.ts
@@ -0,0 +1,68 @@
+type historyRole = 'USER' | 'AI'
+export type feedbackRating = 'THUMBS_UP' | 'THUMBS_DOWN' | 'THUMBS_NO'
+
+interface SubTaskInter {
+  content?: string
+  tools: Array<ToolInter>
+}
+interface ToolInter {
+  thought?: string
+  id?: number
+  apiName?: string
+  apiParameter?: string
+}
+export interface ChatMsgInfoInf {
+  msgID: string
+  content: { task_des: string, cnt_agents: string }
+  parentMsgID: string
+  complete?: boolean
+  role: historyRole
+  rating?: feedbackRating
+  feedbackMsg?: string | null
+  costTimeMilli?: number | 0
+  content_html?: string
+  childrenIds?: string[]
+  subTasks?: Array<SubTaskInter>
+  isLatest?: boolean // 是不是AI最新生成的那条？
+}
+
+export interface HistoryListInf {
+  content: {
+    pairs: string
+    type: 'TEXT'
+    costTime: number
+    pairs_html?: string | undefined
+    rating?: feedbackRating
+    feedbackMsg?: string
+  }
+  id: string
+  role: historyRole
+  parentMsgID: string //parent id
+}
+
+export interface HistoryInf {
+  conversationId: string
+  parentMessageId: string
+  chatMessage: Array<HistoryListInf>
+}
+
+export interface ChatInf {
+  chatMessage: Array<{ content: { pairs: string; type: 'TEXT' }; id: string; role: 'USER' | 'AI' }>
+  conversationId: string
+  parentMessageId: string
+}
+
+interface Setting {
+  mode?: string
+  agent?: string
+  plugins?: Array<string>
+  temperature?: number
+}
+
+export interface IChatRequest {
+  chatMessage: Array<{ content: { pairs: string; type: 'TEXT' }; id: string; role: 'USER' | 'AI' }>
+  conversationId: string
+  parentMessageId: string
+  generateType?: 'REGENERATE' | 'NORMAL'
+  setting?: Setting,
+}
diff --git a/AgentVerseWeb/types/user.ts b/AgentVerseWeb/types/user.ts
new file mode 100644
index 000000000..71f661121
--- /dev/null
+++ b/AgentVerseWeb/types/user.ts
@@ -0,0 +1,40 @@
+export interface RoleInfo {
+  roleName: string
+  value: string
+}
+
+export interface UserInfo {
+  id?: string | number
+  user_id?: string | number
+  mobile: number | string
+  smsCode: string
+  name: string
+  corporation: string //公司or学校
+  industry: string //行业
+  position: string //职位
+  email: string //邮箱
+  emailCode: string
+  avatar?: string
+  desc?: string
+  homePath?: string
+  roles?: RoleInfo[]
+  orgCode?: string
+  token?: string
+  userId?: string | number
+}
+
+export enum RoleEnum {
+  // super admin
+  SUPER = 'super',
+
+  // tester
+  TEST = 'test',
+}
+
+export interface LoginInfo {
+  multi_depart?: string | number
+  userInfo?: object
+  departs?: []
+  tenantList?: []
+  isLogin?: boolean
+}
diff --git a/AgentVerseWeb/vite.config.ts b/AgentVerseWeb/vite.config.ts
new file mode 100644
index 000000000..e305fa63f
--- /dev/null
+++ b/AgentVerseWeb/vite.config.ts
@@ -0,0 +1,89 @@
+import vue from '@vitejs/plugin-vue'
+import { defineConfig, UserConfigExport } from 'vite'
+
+import AutoImport from 'unplugin-auto-import/vite'
+import IconsResolver from 'unplugin-icons/resolver'
+import Icons from 'unplugin-icons/vite'
+import { ElementPlusResolver } from 'unplugin-vue-components/resolvers'
+import Components from 'unplugin-vue-components/vite'
+import banner from 'vite-plugin-banner'
+
+import { resolve } from 'path'
+import { createHtmlPlugin } from 'vite-plugin-html'
+import BACKEND_URL_LOCALDEPLOY from './src/api/backend'
+
+function pathResolve(dir: string) {
+  // const path = resolve(process.cwd(), '.', dir)
+  const path = resolve(__dirname, dir)
+  return path
+}
+
+const isProduction = process.env.type === 'prod'
+
+const VITE_PUBLIC_PATH = isProduction ? '/' : '/openapi/'
+
+process.env.VITE_MODE = isProduction ? 'production' : 'development'
+
+const config: UserConfigExport = {
+  base: './',
+  resolve: {
+    alias: [
+      { find: /\/@\//, replacement: pathResolve('src') + '/' },
+      { find: /\/#\//, replacement: pathResolve('types') + '/' },
+      { find: /@\//, replacement: pathResolve('src') + '/' },
+    ],
+  },
+  plugins: [
+    vue(),
+    banner(`build package in ${new Date().toLocaleDateString()} ${new Date().toLocaleTimeString()} !`),
+    AutoImport({
+      resolvers: [ElementPlusResolver()],
+      imports: ['vue', '@vueuse/core', 'vue-router', 'pinia'],
+      dirs: ['./src/components/**/*', './src/composables/**', './src/store/**', './types/**'],
+      vueTemplate: true,
+    }),
+    Components({
+      dts: true,
+      resolvers: [ElementPlusResolver({ importStyle: true }), IconsResolver({ prefix: 'icon' })],
+    }),
+    Icons(),
+    createHtmlPlugin({
+      inject: { data: { title: 'AgentVerse' } },
+    }),
+  ],
+  // 定义全局常量替换方式。其中每项在开发环境下会被定义在全局，而在构建时被静态替换。
+  define: {
+    BASE_URL: JSON.stringify(VITE_PUBLIC_PATH),
+  },
+  server: {
+    // proxy: {
+    //   '/api': BACKEND_URL_LOCALDEPLOY,
+    // },
+    proxy: {
+      '/api': {
+        target: BACKEND_URL_LOCALDEPLOY,
+        changeOrigin: true,
+        rewrite: (path) => path.replace(/^\/api/, ''),
+      }
+    },
+  },
+
+  build: {
+    cssTarget: 'chrome80',
+    minify: 'terser',
+    terserOptions: {
+      compress: {
+        keep_infinity: true,
+        drop_console: process.env.type === 'prod',
+        drop_debugger: true,
+      },
+    },
+    chunkSizeWarningLimit: 2000,
+  },
+  esbuild: {
+    drop: process.env.type === 'prod' ? ['console', 'debugger'] : [],
+  },
+}
+
+// https://vitejs.dev/config/
+export default defineConfig(config)
diff --git a/AgentVerseWeb/vite.config.ts.timestamp-1699255686419-9e5ceebff814.mjs b/AgentVerseWeb/vite.config.ts.timestamp-1699255686419-9e5ceebff814.mjs
new file mode 100644
index 000000000..b15ce0979
--- /dev/null
+++ b/AgentVerseWeb/vite.config.ts.timestamp-1699255686419-9e5ceebff814.mjs
@@ -0,0 +1,89 @@
+// vite.config.ts
+import vue from "file:///mnt/d/ocw/AgentVerse/XAgentWeb/node_modules/@vitejs/plugin-vue/dist/index.mjs";
+import { defineConfig } from "file:///mnt/d/ocw/AgentVerse/XAgentWeb/node_modules/vite/dist/node/index.js";
+import AutoImport from "file:///mnt/d/ocw/AgentVerse/XAgentWeb/node_modules/unplugin-auto-import/dist/vite.js";
+import IconsResolver from "file:///mnt/d/ocw/AgentVerse/XAgentWeb/node_modules/unplugin-icons/dist/resolver.mjs";
+import Icons from "file:///mnt/d/ocw/AgentVerse/XAgentWeb/node_modules/unplugin-icons/dist/vite.mjs";
+import { ElementPlusResolver } from "file:///mnt/d/ocw/AgentVerse/XAgentWeb/node_modules/unplugin-vue-components/dist/resolvers.mjs";
+import Components from "file:///mnt/d/ocw/AgentVerse/XAgentWeb/node_modules/unplugin-vue-components/dist/vite.mjs";
+import banner from "file:///mnt/d/ocw/AgentVerse/XAgentWeb/node_modules/vite-plugin-banner/dist/index.mjs";
+import { resolve } from "path";
+import { createHtmlPlugin } from "file:///mnt/d/ocw/AgentVerse/XAgentWeb/node_modules/vite-plugin-html/dist/index.mjs";
+
+// src/api/backend.ts
+var BACKEND_URL_LOCALDEPLOY = "http://localhost:8090";
+var backend_default = BACKEND_URL_LOCALDEPLOY;
+
+// vite.config.ts
+var __vite_injected_original_dirname = "/mnt/d/ocw/AgentVerse/XAgentWeb";
+function pathResolve(dir) {
+  const path = resolve(__vite_injected_original_dirname, dir);
+  return path;
+}
+var isProduction = process.env.type === "prod";
+var VITE_PUBLIC_PATH = isProduction ? "/" : "/openapi/";
+process.env.VITE_MODE = isProduction ? "production" : "development";
+var config = {
+  base: "./",
+  resolve: {
+    alias: [
+      { find: /\/@\//, replacement: pathResolve("src") + "/" },
+      { find: /\/#\//, replacement: pathResolve("types") + "/" },
+      { find: /@\//, replacement: pathResolve("src") + "/" }
+    ]
+  },
+  plugins: [
+    vue(),
+    banner(`build package in ${(/* @__PURE__ */ new Date()).toLocaleDateString()} ${(/* @__PURE__ */ new Date()).toLocaleTimeString()} !`),
+    AutoImport({
+      resolvers: [ElementPlusResolver()],
+      imports: ["vue", "@vueuse/core", "vue-router", "pinia"],
+      dirs: ["./src/components/**/*", "./src/composables/**", "./src/store/**", "./types/**"],
+      vueTemplate: true
+    }),
+    Components({
+      dts: true,
+      resolvers: [ElementPlusResolver({ importStyle: true }), IconsResolver({ prefix: "icon" })]
+    }),
+    Icons(),
+    createHtmlPlugin({
+      inject: { data: { title: "AgentVerse" } }
+    })
+  ],
+  // 定义全局常量替换方式。其中每项在开发环境下会被定义在全局，而在构建时被静态替换。
+  define: {
+    BASE_URL: JSON.stringify(VITE_PUBLIC_PATH)
+  },
+  server: {
+    // proxy: {
+    //   '/api': BACKEND_URL_LOCALDEPLOY,
+    // },
+    proxy: {
+      "/api": {
+        target: backend_default,
+        changeOrigin: true,
+        rewrite: (path) => path.replace(/^\/api/, "")
+      }
+    }
+  },
+  build: {
+    cssTarget: "chrome80",
+    minify: "terser",
+    terserOptions: {
+      compress: {
+        keep_infinity: true,
+        drop_console: process.env.type === "prod",
+        drop_debugger: true
+      }
+    },
+    chunkSizeWarningLimit: 2e3
+  },
+  esbuild: {
+    drop: process.env.type === "prod" ? ["console", "debugger"] : []
+  }
+};
+var vite_config_default = defineConfig(config);
+export {
+  vite_config_default as default
+};
+//# sourceMappingURL=data:application/json;base64,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
diff --git a/AgentVerseWeb/vite.config.ts.timestamp-1700371181506-c694e0bc06f36.mjs b/AgentVerseWeb/vite.config.ts.timestamp-1700371181506-c694e0bc06f36.mjs
new file mode 100644
index 000000000..a4634b616
--- /dev/null
+++ b/AgentVerseWeb/vite.config.ts.timestamp-1700371181506-c694e0bc06f36.mjs
@@ -0,0 +1,89 @@
+// vite.config.ts
+import vue from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/@vitejs/plugin-vue/dist/index.mjs";
+import { defineConfig } from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/vite/dist/node/index.js";
+import AutoImport from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-auto-import/dist/vite.js";
+import IconsResolver from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-icons/dist/resolver.mjs";
+import Icons from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-icons/dist/vite.mjs";
+import { ElementPlusResolver } from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-vue-components/dist/resolvers.mjs";
+import Components from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-vue-components/dist/vite.mjs";
+import banner from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/vite-plugin-banner/dist/index.mjs";
+import { resolve } from "path";
+import { createHtmlPlugin } from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/vite-plugin-html/dist/index.mjs";
+
+// src/api/backend.ts
+var BACKEND_URL_LOCALDEPLOY = "http://localhost:8090";
+var backend_default = BACKEND_URL_LOCALDEPLOY;
+
+// vite.config.ts
+var __vite_injected_original_dirname = "/mnt/d/ocw/AgentVerse/AgentVerseWeb";
+function pathResolve(dir) {
+  const path = resolve(__vite_injected_original_dirname, dir);
+  return path;
+}
+var isProduction = process.env.type === "prod";
+var VITE_PUBLIC_PATH = isProduction ? "/" : "/openapi/";
+process.env.VITE_MODE = isProduction ? "production" : "development";
+var config = {
+  base: "./",
+  resolve: {
+    alias: [
+      { find: /\/@\//, replacement: pathResolve("src") + "/" },
+      { find: /\/#\//, replacement: pathResolve("types") + "/" },
+      { find: /@\//, replacement: pathResolve("src") + "/" }
+    ]
+  },
+  plugins: [
+    vue(),
+    banner(`build package in ${(/* @__PURE__ */ new Date()).toLocaleDateString()} ${(/* @__PURE__ */ new Date()).toLocaleTimeString()} !`),
+    AutoImport({
+      resolvers: [ElementPlusResolver()],
+      imports: ["vue", "@vueuse/core", "vue-router", "pinia"],
+      dirs: ["./src/components/**/*", "./src/composables/**", "./src/store/**", "./types/**"],
+      vueTemplate: true
+    }),
+    Components({
+      dts: true,
+      resolvers: [ElementPlusResolver({ importStyle: true }), IconsResolver({ prefix: "icon" })]
+    }),
+    Icons(),
+    createHtmlPlugin({
+      inject: { data: { title: "AgentVerse" } }
+    })
+  ],
+  // 定义全局常量替换方式。其中每项在开发环境下会被定义在全局，而在构建时被静态替换。
+  define: {
+    BASE_URL: JSON.stringify(VITE_PUBLIC_PATH)
+  },
+  server: {
+    // proxy: {
+    //   '/api': BACKEND_URL_LOCALDEPLOY,
+    // },
+    proxy: {
+      "/api": {
+        target: backend_default,
+        changeOrigin: true,
+        rewrite: (path) => path.replace(/^\/api/, "")
+      }
+    }
+  },
+  build: {
+    cssTarget: "chrome80",
+    minify: "terser",
+    terserOptions: {
+      compress: {
+        keep_infinity: true,
+        drop_console: process.env.type === "prod",
+        drop_debugger: true
+      }
+    },
+    chunkSizeWarningLimit: 2e3
+  },
+  esbuild: {
+    drop: process.env.type === "prod" ? ["console", "debugger"] : []
+  }
+};
+var vite_config_default = defineConfig(config);
+export {
+  vite_config_default as default
+};
+//# sourceMappingURL=data:application/json;base64,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
diff --git a/AgentVerseWeb/vite.config.ts.timestamp-1700450009962-8787290adce79.mjs b/AgentVerseWeb/vite.config.ts.timestamp-1700450009962-8787290adce79.mjs
new file mode 100644
index 000000000..a4634b616
--- /dev/null
+++ b/AgentVerseWeb/vite.config.ts.timestamp-1700450009962-8787290adce79.mjs
@@ -0,0 +1,89 @@
+// vite.config.ts
+import vue from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/@vitejs/plugin-vue/dist/index.mjs";
+import { defineConfig } from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/vite/dist/node/index.js";
+import AutoImport from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-auto-import/dist/vite.js";
+import IconsResolver from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-icons/dist/resolver.mjs";
+import Icons from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-icons/dist/vite.mjs";
+import { ElementPlusResolver } from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-vue-components/dist/resolvers.mjs";
+import Components from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/unplugin-vue-components/dist/vite.mjs";
+import banner from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/vite-plugin-banner/dist/index.mjs";
+import { resolve } from "path";
+import { createHtmlPlugin } from "file:///mnt/d/ocw/AgentVerse/AgentVerseWeb/node_modules/vite-plugin-html/dist/index.mjs";
+
+// src/api/backend.ts
+var BACKEND_URL_LOCALDEPLOY = "http://localhost:8090";
+var backend_default = BACKEND_URL_LOCALDEPLOY;
+
+// vite.config.ts
+var __vite_injected_original_dirname = "/mnt/d/ocw/AgentVerse/AgentVerseWeb";
+function pathResolve(dir) {
+  const path = resolve(__vite_injected_original_dirname, dir);
+  return path;
+}
+var isProduction = process.env.type === "prod";
+var VITE_PUBLIC_PATH = isProduction ? "/" : "/openapi/";
+process.env.VITE_MODE = isProduction ? "production" : "development";
+var config = {
+  base: "./",
+  resolve: {
+    alias: [
+      { find: /\/@\//, replacement: pathResolve("src") + "/" },
+      { find: /\/#\//, replacement: pathResolve("types") + "/" },
+      { find: /@\//, replacement: pathResolve("src") + "/" }
+    ]
+  },
+  plugins: [
+    vue(),
+    banner(`build package in ${(/* @__PURE__ */ new Date()).toLocaleDateString()} ${(/* @__PURE__ */ new Date()).toLocaleTimeString()} !`),
+    AutoImport({
+      resolvers: [ElementPlusResolver()],
+      imports: ["vue", "@vueuse/core", "vue-router", "pinia"],
+      dirs: ["./src/components/**/*", "./src/composables/**", "./src/store/**", "./types/**"],
+      vueTemplate: true
+    }),
+    Components({
+      dts: true,
+      resolvers: [ElementPlusResolver({ importStyle: true }), IconsResolver({ prefix: "icon" })]
+    }),
+    Icons(),
+    createHtmlPlugin({
+      inject: { data: { title: "AgentVerse" } }
+    })
+  ],
+  // 定义全局常量替换方式。其中每项在开发环境下会被定义在全局，而在构建时被静态替换。
+  define: {
+    BASE_URL: JSON.stringify(VITE_PUBLIC_PATH)
+  },
+  server: {
+    // proxy: {
+    //   '/api': BACKEND_URL_LOCALDEPLOY,
+    // },
+    proxy: {
+      "/api": {
+        target: backend_default,
+        changeOrigin: true,
+        rewrite: (path) => path.replace(/^\/api/, "")
+      }
+    }
+  },
+  build: {
+    cssTarget: "chrome80",
+    minify: "terser",
+    terserOptions: {
+      compress: {
+        keep_infinity: true,
+        drop_console: process.env.type === "prod",
+        drop_debugger: true
+      }
+    },
+    chunkSizeWarningLimit: 2e3
+  },
+  esbuild: {
+    drop: process.env.type === "prod" ? ["console", "debugger"] : []
+  }
+};
+var vite_config_default = defineConfig(config);
+export {
+  vite_config_default as default
+};
+//# sourceMappingURL=data:application/json;base64,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
diff --git a/README.md b/README.md
index f485f5c95..aacfcbad4 100644
--- a/README.md
+++ b/README.md
@@ -336,7 +336,7 @@ To run AgentVerse on a specific problem, you can try
 agentverse-tasksolving --task tasksolving/brainstorming
 ```
 
-To run the tool using cases presented in our paper, i.e., multi-agent using tools such as web browser, Jupyter notebook, bing search, etc., you can first build ToolsServer provided by [XAgent](https://github.com/OpenBMB/XAgent). You can follow their [instruction](https://github.com/OpenBMB/XAgent#%EF%B8%8F-build-and-setup-toolserver) to build and run the ToolServer.
+To run the tool using cases presented in our paper, i.e., multi-agent using tools such as web browser, Jupyter notebook, bing search, etc., you can first build ToolsServer provided by [AgentVerse](https://github.com/OpenBMB/AgentVerse). You can follow their [instruction](https://github.com/OpenBMB/AgentVerse#%EF%B8%8F-build-and-setup-toolserver) to build and run the ToolServer.
 
 After building and launching the ToolServer, you can use the following command to run the task-solving cases with tools:
 ```shell
diff --git a/agentverse/agents/base.py b/agentverse/agents/base.py
index e17b94a50..fe080863f 100644
--- a/agentverse/agents/base.py
+++ b/agentverse/agents/base.py
@@ -64,6 +64,13 @@ def get_all_prompts(self, **kwargs):
             **kwargs
         )
         append_prompt = Template(self.append_prompt_template).safe_substitute(**kwargs)
+        # TODO: self.llm.args.model is not generalizable
+        num_prepend_prompt_token = count_string_tokens(
+            prepend_prompt, self.llm.args.model
+        )
+        num_append_prompt_token = count_string_tokens(
+            append_prompt, self.llm.args.model
+        )
 
         # TODO: self.llm.args.model is not generalizable
         num_prepend_prompt_token = count_string_tokens(
diff --git a/agentverse/agents/tasksolving_agent/critic.py b/agentverse/agents/tasksolving_agent/critic.py
index 5133e82e8..8aa456d32 100644
--- a/agentverse/agents/tasksolving_agent/critic.py
+++ b/agentverse/agents/tasksolving_agent/critic.py
@@ -72,7 +72,6 @@ async def astep(
             # tool_names=self.tool_names,
             tool_descriptions=self.tool_descriptions,
         )
-
         max_send_token = self.llm.send_token_limit(self.llm.args.model)
         max_send_token -= prompt_token
 
diff --git a/agentverse/agents/tasksolving_agent/evaluator.py b/agentverse/agents/tasksolving_agent/evaluator.py
index a97455b0a..b6974f1fb 100644
--- a/agentverse/agents/tasksolving_agent/evaluator.py
+++ b/agentverse/agents/tasksolving_agent/evaluator.py
@@ -46,7 +46,6 @@ async def astep(
             task_description=task_description,
             all_role_description=all_role_description,
         )
-
         max_send_token = self.llm.send_token_limit(self.llm.args.model)
         max_send_token -= prompt_token
 
diff --git a/agentverse/agents/tasksolving_agent/executor.py b/agentverse/agents/tasksolving_agent/executor.py
index 50bd237df..40290ec21 100644
--- a/agentverse/agents/tasksolving_agent/executor.py
+++ b/agentverse/agents/tasksolving_agent/executor.py
@@ -35,7 +35,6 @@ async def astep(
             agent_name=self.name,
             **kwargs,
         )
-
         max_send_token = self.llm.send_token_limit(self.llm.args.model)
         max_send_token -= prompt_token
 
diff --git a/agentverse/agents/tasksolving_agent/role_assigner.py b/agentverse/agents/tasksolving_agent/role_assigner.py
index ffec70ef7..764951502 100644
--- a/agentverse/agents/tasksolving_agent/role_assigner.py
+++ b/agentverse/agents/tasksolving_agent/role_assigner.py
@@ -36,7 +36,6 @@ async def astep(
             task_description=task_description,
             cnt_critic_agents=cnt_critic_agents,
         )
-
         max_send_token = self.llm.send_token_limit(self.llm.args.model)
         max_send_token -= prompt_token
 
diff --git a/agentverse/agents/tasksolving_agent/solver.py b/agentverse/agents/tasksolving_agent/solver.py
index 42ec5ba6a..fcbe17194 100644
--- a/agentverse/agents/tasksolving_agent/solver.py
+++ b/agentverse/agents/tasksolving_agent/solver.py
@@ -42,7 +42,6 @@ async def astep(
             role_description=self.role_description,
             **kwargs,
         )
-
         max_send_token = self.llm.send_token_limit(self.llm.args.model)
         max_send_token -= prompt_token
 
diff --git a/agentverse/environments/tasksolving_env/basic.py b/agentverse/environments/tasksolving_env/basic.py
index 457430311..69bc5e67f 100644
--- a/agentverse/environments/tasksolving_env/basic.py
+++ b/agentverse/environments/tasksolving_env/basic.py
@@ -1,16 +1,17 @@
 import asyncio
+import uuid
 from enum import Enum
 from typing import Any, Dict, List, Tuple, Union
-
 from colorama import Fore
 
 from agentverse.environments import BaseEnvironment
 from agentverse.agents.base import BaseAgent
 from agentverse.logging import logger
 from agentverse.message import Message, SolverMessage, ExecutorMessage
-
-
+from AgentVerseServer.interaction import AgentVerseInteraction
+from AgentVerseServer.models.ws import AgentVerseOutputData
 from .. import env_registry as EnvironmentRegistry
+from agentverse.utils import AGENT_TYPES
 
 from agentverse.environments.tasksolving_env.rules import TasksolvingRule
 
@@ -43,39 +44,123 @@ def __init__(self, **kwargs):
         super().__init__(rule=rule, **kwargs)
 
     async def step(
-        self, advice: str = "No advice yet.", previous_plan: str = "No solution yet."
+        self,
+        advice: str = "No advice yet.",
+        previous_plan: str = "No solution yet.",
+        interaction: AgentVerseInteraction = None,
     ) -> List[Message]:
         result = ""
         logs = []
 
         logger.info(f"Loop Round {self.cnt_turn}")
-
+        if interaction:
+            await interaction.update_cache(
+                update_data={
+                    "node_id": uuid.uuid4().hex,
+                    "task_id": str(self.cnt_turn),
+                    "name": self.task_description,
+                    "subround": {
+                        "node_id": uuid.uuid4().hex,
+                        "task_id": str(self.cnt_turn),
+                        "recruitment": [],
+                        "decision_make": [],
+                        "aciton_exectuion": [],
+                        "evaluation": [],
+                        "isFinished": False,
+                        "isRunning": False,
+                        "refinement": {},
+                        "isShowRefinement": False,
+                    },
+                },
+                status="subround",
+                current=str(self.cnt_turn),
+            )
         # ================== EXPERT RECRUITMENT ==================
         agents = await self.rule.role_assign(
-            self.task_description, self.agents, self.cnt_turn, advice
+            self.task_description,
+            self.agents,
+            self.cnt_turn,
+            advice,
+        )
+        description = "\n".join(
+            [agent.name + ": " + agent.role_description for agent in agents]
         )
-        description = "\n".join([agent.role_description for agent in agents])
         logs.append({"module": "Role Assigner", "content": description})
         logger.info("", f"Role Assignment:\n{description}", Fore.CYAN)
+        if interaction:
+            await interaction.update_cache(
+                update_data={
+                    "node_id": uuid.uuid4().hex,
+                    "task_id": str(self.cnt_turn),
+                    "stage_id": "role_assign",
+                    "data": {
+                        "name": self.agents[AGENT_TYPES.ROLE_ASSIGNMENT].name,
+                        "thought": f"{description}",
+                        "stage_id": "role_assign",
+                    },
+                },
+                status="stage",
+                current=str(self.cnt_turn),
+            )
         # ================== EXPERT RECRUITMENT ==================
 
         # ================== DECISION MAKING ==================
         plan: List[SolverMessage] = await self.rule.decision_making(
-            self.task_description, self.agents, previous_plan, advice
+            self.task_description,
+            self.agents,
+            previous_plan,
+            advice,
+            interaction=interaction,
+            cnt_turn=self.cnt_turn,
         )
         flatten_plan = "\n".join([p.content for p in plan])
         logs.append({"module": "Decision Maker", "content": flatten_plan})
         logger.info("", f"Decision Plan:\n{flatten_plan}", Fore.YELLOW)
+        if interaction:
+            await interaction.update_cache(
+                update_data={
+                    "node_id": uuid.uuid4().hex,
+                    "task_id": str(self.cnt_turn),
+                    "stage_id": "decision_make",
+                    "data": {
+                        "name": plan[0].sender if len(plan) > 0 else "",
+                        "thought": f"{flatten_plan}",
+                        "stage_id": "decision_make",
+                    },
+                },
+                status="stage",
+                current=str(self.cnt_turn),
+            )
         # ================== DECISION MAKING ==================
 
         # ================== EXECUTION ==================
         result: List[ExecutorMessage] = await self.rule.execute(
-            self.task_description, self.agents, plan
+            self.task_description,
+            self.agents,
+            plan,
+            interaction=interaction,
+            cnt_turn=self.cnt_turn,
         )
         flatten_result = "\n".join([r.content for r in result])
         logs.append({"module": "Executor", "content": flatten_result})
         logger.info("", f"Execution Result:", Fore.GREEN)
         logger.info("", flatten_result, Fore.GREEN)
+        if interaction:
+            for item in result:
+                await interaction.update_cache(
+                    update_data={
+                        "node_id": uuid.uuid4().hex,
+                        "task_id": str(self.cnt_turn),
+                        "stage_id": "aciton_exectuion",
+                        "data": {
+                            "name": item.sender,
+                            "thought": ":".join(item.content.split(":")[1:]),
+                            "stage_id": "aciton_exectuion",
+                        },
+                    },
+                    status="stage",
+                    current=str(self.cnt_turn),
+                )
         # ================== EXECUTION ==================
 
         # ================== EVALUATION ==================
@@ -91,20 +176,47 @@ async def step(
         logger.info(
             "", f"Evaluation result:\nScore: {score}\nAdvice: {advice}", Fore.YELLOW
         )
-
         if score is not None and (
             (isinstance(score, bool) and score is True)
             or (isinstance(score, (list, tuple)) and all([s >= 8 for s in score]))
         ):
             # TODO: 8 is an arbitrary threshold
             logs.append({"agent": "system", "content": "Good score! Accept!"})
+            # TODO: pop-up windows
             logger.info(
                 "", f"Good score! Accept! Final Result:\n{flatten_plan}", Fore.GREEN
             )
+            if interaction:
+                await interaction.update_cache(
+                    update_data={
+                        "node_id": uuid.uuid4().hex,
+                        "task_id": str(self.cnt_turn),
+                        "data": {
+                            "score": score,
+                            "advice": advice,
+                        },
+                    },
+                    status="finished",
+                    current=str(self.cnt_turn),
+                )
             self.success = True
         else:
             logs.append({"agent": "system", "content": "Bad score! Reject!"})
+            # TODO: pop-up windows
             logger.info("", "Bad score! Reject!", Fore.RED)
+            if interaction:
+                await interaction.update_cache(
+                    update_data={
+                        "node_id": uuid.uuid4().hex,
+                        "task_id": str(self.cnt_turn),
+                        "data": {
+                            "score": score,
+                            "advice": advice,
+                        },
+                    },
+                    status="refinement",
+                    current=str(self.cnt_turn),
+                )
         self.cnt_turn += 1
         return flatten_result, advice, flatten_plan, logs, self.success
 
diff --git a/agentverse/environments/tasksolving_env/rules/base.py b/agentverse/environments/tasksolving_env/rules/base.py
index a1fcb0dc9..6ea26ccd4 100644
--- a/agentverse/environments/tasksolving_env/rules/base.py
+++ b/agentverse/environments/tasksolving_env/rules/base.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 from typing import TYPE_CHECKING, Any, Dict, List, Tuple, Union, Optional
-
+from AgentVerseServer.interaction import AgentVerseInteraction
 from agentverse.agents.base import BaseAgent
 from agentverse.utils import AGENT_TYPES
 from agentverse.environments.tasksolving_env.rules.decision_maker import (
@@ -96,9 +96,11 @@ async def decision_making(
         agents: List[BaseAgent],
         previous_plan: str,
         advice: str = "No advice yet.",
+        **kwargs,
     ) -> List[SolverMessage]:
         # TODO: plan should be string or a special type of object?
-
+        interaction = kwargs.get("interaction", None)
+        cnt_turn = kwargs.get("cnt_turn", 0)
         # dynamic
         if "dynamic" in self.decision_maker.name:
             plan = await self.decision_maker.astep(
@@ -114,6 +116,8 @@ async def decision_making(
                 task_description=task_description,
                 previous_plan=previous_plan,
                 advice=advice,
+                interaction=interaction,
+                cnt_turn=cnt_turn,
             )
         return plan
 
@@ -122,13 +126,19 @@ async def execute(
         task_description: str,
         agents: List[BaseAgent],
         final_solution: List[SolverMessage],
+        **kwargs,
     ) -> Any:
         """execution stage.
         Use the executor to finish the task.
         """
-
+        interaction = kwargs.get("interaction", None)
+        cnt_turn = kwargs.get("cnt_turn", 0)
         results = await self.executor.astep(
-            agents[AGENT_TYPES.EXECUTION], task_description, final_solution
+            agents[AGENT_TYPES.EXECUTION],
+            task_description,
+            final_solution,
+            interaction=interaction,
+            cnt_turn=cnt_turn,
         )
         if self.add_execution_result_to_critic:
             for agent in agents[AGENT_TYPES.CRITIC]:
diff --git a/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal_tool.py b/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal_tool.py
index b30e88046..d3565ac29 100644
--- a/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal_tool.py
+++ b/agentverse/environments/tasksolving_env/rules/decision_maker/horizontal_tool.py
@@ -6,7 +6,7 @@
 from itertools import cycle
 
 from typing import TYPE_CHECKING, List
-
+import uuid
 from . import decision_maker_registry
 from .base import BaseDecisionMaker
 from agentverse.logging import logger
@@ -45,6 +45,8 @@ async def astep(
         advice: str = "No advice yet.",
         **kwargs,
     ) -> List[str]:
+        interaction = kwargs.get("interaction", None)
+        cnt_turn = kwargs.get("cnt_turn", 0)
         agents[0].memory.reset()
         if advice != "No advice yet.":
             self.broadcast_messages(
@@ -74,6 +76,21 @@ async def astep(
                 f"[{review.sender}]: {review.content}",
                 Fore.YELLOW,
             )
+            if interaction:
+                await interaction.update_cache(
+                    update_data={
+                        "node_id": uuid.uuid4().hex,
+                        "task_id": cnt_turn,
+                        "stage_id": "decision_make",
+                        "data": {
+                            "name": review.sender,
+                            "thought": f"{review.content}",
+                            "stage_id": "decision_make",
+                        },
+                    },
+                    status="stage",
+                    current=cnt_turn,
+                )
             if end_flag:
                 break
 
diff --git a/agentverse/environments/tasksolving_env/rules/executor/tool_using.py b/agentverse/environments/tasksolving_env/rules/executor/tool_using.py
index 9ae70a78d..533b2ee2f 100644
--- a/agentverse/environments/tasksolving_env/rules/executor/tool_using.py
+++ b/agentverse/environments/tasksolving_env/rules/executor/tool_using.py
@@ -10,7 +10,7 @@
 from agentverse.agents import ExecutorAgent
 from agentverse.message import Message, ExecutorMessage, SolverMessage
 from agentverse.logging import logger
-
+import uuid
 from . import BaseExecutor, executor_registry
 import asyncio
 from agentverse.llms.utils.jsonrepair import JsonRepair
@@ -75,6 +75,8 @@ async def astep(
         *args,
         **kwargs,
     ):
+        interaction = kwargs.get("interaction", None)
+        cnt_turn = kwargs.get("cnt_turn", 0)
         plan_this_turn = {}
         agent_name_this_turn = []
         for i in range(len(plans)):
@@ -164,6 +166,24 @@ async def astep(
                     name,
                     Fore.YELLOW,
                 )
+                if interaction:
+                    await interaction.update_cache(
+                        update_data={
+                            "node_id": uuid.uuid4().hex,
+                            "task_id": cnt_turn,
+                            "stage_id": "aciton_exectuion",
+                            "data": {
+                                "name": name,
+                                "using_tools": {
+                                    "tool_name": observation.tool_name,
+                                    "tool_input": observation.tool_input,
+                                    "observation": observation.content,
+                                },
+                            },
+                        },
+                        status="stage",
+                        current=cnt_turn,
+                    )
                 if is_finish:
                     finished_agent_names.add(name)
                     result[name] = observation.content
@@ -323,7 +343,7 @@ async def _summarize_webpage(webpage, question):
                     async with session.post(
                         f"{url}/execute_tool",
                         json=payload,
-                        timeout=30,
+                        timeout=60,
                     ) as response:
                         content = await response.text()
                         if command == "WebEnv_browse_website":
@@ -334,7 +354,6 @@ async def _summarize_webpage(webpage, question):
                         elif command == "WebEnv_search_and_browse":
                             openai.aiosession.set(session)
                             content = json.loads(content)
-
                             # for i in range(len(content)):
                             summarized = await asyncio.gather(
                                 *[
diff --git a/agentverse/llms/openai.py b/agentverse/llms/openai.py
index c119dcd80..e029adf5c 100644
--- a/agentverse/llms/openai.py
+++ b/agentverse/llms/openai.py
@@ -125,6 +125,10 @@ def send_token_limit(self, model: str) -> int:
             "gpt-4": 8192,
             "gpt-4-32k": 32768,
             "llama-2-7b-chat-hf": 4096,
+            "gpt-3.5-turbo-16k": 16384,
+            "gpt-4": 8192,
+            "gpt-4-32k": 32768,
+            "llama-2-7b-chat-hf": 4096,
         }
 
         return send_token_limit_dict[model]
diff --git a/agentverse/llms/utils/token_counter.py b/agentverse/llms/utils/token_counter.py
index 94125ad73..955341946 100644
--- a/agentverse/llms/utils/token_counter.py
+++ b/agentverse/llms/utils/token_counter.py
@@ -12,6 +12,7 @@ def count_string_tokens(prompt: str = "", model: str = "gpt-3.5-turbo") -> int:
         return len(tiktoken.encoding_for_model(model).encode(prompt))
     elif model.lower() in LOCAL_LLMS or model in LOCAL_LLMS:
         from transformers import AutoTokenizer
+
         encoding = AutoTokenizer.from_pretrained(LOCAL_LLMS_MAPPING[model.lower()])
         return len(encoding.encode(prompt))
 
diff --git a/agentverse/memory/chat_history.py b/agentverse/memory/chat_history.py
index 9d07b18ce..3769e338f 100644
--- a/agentverse/memory/chat_history.py
+++ b/agentverse/memory/chat_history.py
@@ -136,7 +136,6 @@ async def trim_messages(
 
         if not new_messages_not_in_chain:
             return self.summary_message(), []
-
         new_summary_message = await self.update_running_summary(
             new_events=new_messages_not_in_chain, model=model
         )
@@ -163,7 +162,6 @@ async def update_running_summary(
         for event in new_events:
             if event["role"].lower() == "assistant":
                 event["role"] = "you"
-
             elif event["role"].lower() == "system":
                 event["role"] = "your computer"
 
diff --git a/agentverse/tasksolving.py b/agentverse/tasksolving.py
index d9bc9628c..935a8650b 100644
--- a/agentverse/tasksolving.py
+++ b/agentverse/tasksolving.py
@@ -1,13 +1,15 @@
 import asyncio
 import os
 import copy
-
 import logging
-
+import uuid
+from agentverse.logging import logger
+from colorama import Fore
 from agentverse.environments.tasksolving_env.basic import BasicEnvironment
 from agentverse.initialization import load_agent, load_environment, prepare_task_config
 from agentverse.utils import AGENT_TYPES
-
+from AgentVerseServer.interaction import AgentVerseInteraction
+from AgentVerseServer.models.ws import AgentVerseOutputData
 
 openai_logger = logging.getLogger("openai")
 openai_logger.setLevel(logging.WARNING)
@@ -23,13 +25,14 @@ def __init__(self, environment: BasicEnvironment, task: str = ""):
         self.task = task
 
     @classmethod
-    def from_task(cls, task: str, tasks_dir: str):
+    def from_task(cls, task: str, tasks_dir: str, **kwargs):
         """Build an AgentVerse from a task name.
         The task name should correspond to a directory in `tasks` directory.
         Then this method will load the configuration from the yaml file in that directory.
         """
         # Prepare the config of the task
         task_config = prepare_task_config(task, tasks_dir)
+        task_config.update(kwargs)
 
         # Build the environment
         env_config = task_config["environment"]
@@ -50,22 +53,42 @@ def from_task(cls, task: str, tasks_dir: str):
         env_config["agents"] = agents
 
         env_config["task_description"] = task_config.get("task_description", "")
+        if kwargs.get("task_description", "") != "":
+            env_config["task_description"] = kwargs["task_description"]
         env_config["max_rounds"] = task_config.get("max_rounds", 3)
 
         environment: BasicEnvironment = load_environment(env_config)
 
         return cls(environment=environment, task=task)
 
-    def run(self):
+    async def run(self, interaction: AgentVerseInteraction = None):
         """Run the environment from scratch until it is done."""
         self.environment.reset()
         self.logs = []
         advice = "No advice yet."
         previous_plan = "No solution yet."
-        while not self.environment.is_done():
-            result, advice, previous_plan, logs, success = asyncio.run(
-                self.environment.step(advice, previous_plan)
+        if interaction:
+            await interaction.update_cache(
+                update_data={
+                    "node_id": uuid.uuid4().hex,
+                    "name": "AgentVerse",
+                    "subrounds": [],
+                },
+                status="start",
             )
+        while not self.environment.is_done():
+            # if interaction:
+            (
+                result,
+                advice,
+                previous_plan,
+                logs,
+                success,
+            ) = await self.environment.step(advice, previous_plan, interaction)
+            # else:
+            #     result, advice, previous_plan, logs, success = asyncio.run(
+            #         self.environment.step(advice, previous_plan, interaction)
+            #     )
             self.logs += logs
         self.environment.report_metrics()
         self.save_result(previous_plan, result, self.environment.get_spend())
diff --git a/agentverse_command/benchmark.py b/agentverse_command/benchmark.py
index 8ff53333a..a5cd5b60f 100644
--- a/agentverse_command/benchmark.py
+++ b/agentverse_command/benchmark.py
@@ -67,7 +67,7 @@ def cli_main():
         # print(args.single_agent)
         # print(args.discussion_mode)
         # exit()
-        plan, result, logs = agentverse.run()
+        plan, result, logs = asyncio.run(agentverse.run())
         f.write(
             json.dumps(
                 {
diff --git a/agentverse_command/main_tasksolving_cli.py b/agentverse_command/main_tasksolving_cli.py
index 8e66fc9ae..2a04375d9 100644
--- a/agentverse_command/main_tasksolving_cli.py
+++ b/agentverse_command/main_tasksolving_cli.py
@@ -3,6 +3,7 @@
 
 # from agentverse.agentverse import AgentVerse
 from agentverse.tasksolving import TaskSolving
+import asyncio
 
 # from agentverse.gui import GUI
 from agentverse.logging import logger
@@ -26,10 +27,10 @@
 logger.set_level(logging.DEBUG if args.debug else logging.INFO)
 
 
-def cli_main():
+async def cli_main():
     agentversepipeline = TaskSolving.from_task(args.task, args.tasks_dir)
-    agentversepipeline.run()
+    await agentversepipeline.run()
 
 
 if __name__ == "__main__":
-    cli_main()
+    asyncio.run(cli_main())
diff --git a/app.py b/app.py
new file mode 100644
index 000000000..f2cb27d45
--- /dev/null
+++ b/app.py
@@ -0,0 +1,557 @@
+import asyncio
+import json
+import os
+import random
+import smtplib
+import threading
+import traceback
+import uuid
+from concurrent.futures import ThreadPoolExecutor
+from datetime import datetime
+from typing import Annotated, Dict, List, Optional, Set, Union
+from urllib.parse import parse_qs, urlparse
+
+import uvicorn
+import yagmail
+from colorama import Fore
+from fastapi import (
+    Body,
+    Cookie,
+    Depends,
+    FastAPI,
+    File,
+    Form,
+    Path,
+    Query,
+    Request,
+    Response,
+    UploadFile,
+    WebSocket,
+)
+from fastapi.exceptions import RequestValidationError
+from fastapi.middleware.cors import CORSMiddleware
+from fastapi.responses import FileResponse, HTMLResponse, JSONResponse
+from markdown2 import markdown, markdown_path
+from sqlalchemy.orm import Session
+from starlette.endpoints import WebSocketEndpoint
+
+from AgentVerseIO.BaseIO import AgentVerseIO
+from AgentVerseIO.exception import (
+    AgentVerseIOWebSocketConnectError,
+    AgentVerseIOWebSocketReceiveError,
+)
+from AgentVerseIO.input.WebSocketInput import WebSocketInput
+from AgentVerseIO.output.WebSocketOutput import WebSocketOutput
+from AgentVerseServer.database import InteractionBaseInterface, UserBaseInterface
+from AgentVerseServer.database.connect import DBConnection
+from AgentVerseServer.envs import AgentVerseServerEnv
+from AgentVerseServer.exts.mail_ext import email_content
+from AgentVerseServer.interaction import AgentVerseInteraction
+from agentverse.logging import Logger
+from AgentVerseServer.manager import WebSocketConnectionManager
+from AgentVerseServer.models.interaction import InteractionBase
+from AgentVerseServer.models.parameter import InteractionParameter
+from AgentVerseServer.response_body import ResponseBody, WebsocketResponseBody
+from AgentVerseServer.server import AgentVerseServer
+from AgentVerseServer.utils import AutoReplayUtil, ShareUtil
+
+if not os.path.exists(os.path.join(AgentVerseServerEnv.base_dir, "logs")):
+    os.makedirs(os.path.join(AgentVerseServerEnv.base_dir, "logs"))
+
+logger = Logger(
+    log_dir=os.path.join(AgentVerseServerEnv.base_dir, "logs"),
+    log_file="app.log",
+    log_name="AgentVerseServerApp",
+)
+
+
+app = FastAPI()
+
+
+if AgentVerseServerEnv.DB.db_type != "file":
+    connection = DBConnection(AgentVerseServerEnv)
+else:
+    connection = None
+
+
+# 中间件
+@app.middleware("http")
+async def db_session_middleware(request: Request, call_next):
+    # 默认响应
+    response = Response("Internal server error", status_code=500)
+    if AgentVerseServerEnv.DB.db_type in ["sqlite", "mysql", "postgresql"]:
+        try:
+            request.state.db = connection.db_session
+            response = await call_next(request)
+        finally:
+            # 关闭数据库会话
+            request.state.db.close()
+    else:
+        response = await call_next(request)
+    return response
+
+
+# 依赖项,获取数据库会话对象
+def get_db(request: Request):
+    if AgentVerseServerEnv.DB.db_type in ["sqlite", "mysql", "postgresql"]:
+        return request.state.db
+    else:
+        return None
+
+
+broadcast_lock = threading.Lock()
+websocket_queue: asyncio.Queue = None
+manager: WebSocketConnectionManager = None
+executor: ThreadPoolExecutor = None
+userInterface: UserBaseInterface = None
+interactionInterface: InteractionBaseInterface = None
+yag: yagmail.SMTP = None
+
+
+async def startup_event():
+    logger.info("AgentVerse Service Startup Param:")
+    for key, item in AgentVerseServerEnv.__dict__.items():
+        if not key.startswith("__"):
+            logger.info(f"{' '*10}{key}: {item}")
+
+    global websocket_queue
+    global manager
+    global executor
+    global userInterface
+    global interactionInterface
+    global yag
+    websocket_queue = asyncio.Queue()
+    logger.info("init websocket_queue")
+    logger.typewriter_log(
+        title=f"AgentVerseServer is running on {AgentVerseServerEnv.host}:{AgentVerseServerEnv.port}",
+        title_color=Fore.RED,
+    )
+    if AgentVerseServerEnv.default_login:
+        logger.typewriter_log(
+            title=f"Default user: admin, token: agentverse-admin, you can use it to login",
+            title_color=Fore.RED,
+        )
+
+    manager = WebSocketConnectionManager()
+    logger.typewriter_log(title=f"init a websocket manager", title_color=Fore.RED)
+
+    logger.typewriter_log(
+        title=f"init a thread pool executor, max_workers: {AgentVerseServerEnv.workers}",
+        title_color=Fore.RED,
+    )
+    executor = ThreadPoolExecutor(max_workers=AgentVerseServerEnv.workers)
+
+    if AgentVerseServerEnv.DB.db_type in ["sqlite", "mysql", "postgresql"]:
+        from AgentVerseServer.database.connect import DBConnection
+        from AgentVerseServer.database.dbi import (
+            InteractionDBInterface,
+            UserDBInterface,
+        )
+
+        userInterface = UserDBInterface(AgentVerseServerEnv)
+        interactionInterface = InteractionDBInterface(AgentVerseServerEnv)
+
+    else:
+        from AgentVerseServer.database.lsi import (
+            InteractionLocalStorageInterface,
+            UserLocalStorageInterface,
+        )
+
+        logger.info("init localstorage connection: users.json")
+        userInterface = UserLocalStorageInterface(AgentVerseServerEnv)
+        logger.info("init localstorage connection: interaction.json")
+        interactionInterface = InteractionLocalStorageInterface(AgentVerseServerEnv)
+
+    if AgentVerseServerEnv.Email.send_email:
+        yag = yagmail.SMTP(
+            user=AgentVerseServerEnv.Email.email_user,
+            password=AgentVerseServerEnv.Email.email_password,
+            host=AgentVerseServerEnv.Email.email_host,
+        )
+        logger.info("init yagmail")
+
+    ShareUtil.register_db(db=interactionInterface, user_db=userInterface)
+
+
+@app.on_event("startup")
+async def startup():
+    await startup_event()
+
+
+@app.on_event("shutdown")
+async def shutdown():
+    if websocket_queue:
+        await websocket_queue.put(None)
+
+
+@app.exception_handler(RequestValidationError)
+async def validation_exception_handler(request: Request, exc: RequestValidationError):
+    return JSONResponse(
+        status_code=400, content={"status": "failed", "message": exc.errors()}
+    )
+
+
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+def check_user_auth(user_id: str = Form(...), token: str = Form(...)):
+    """ """
+    if userInterface.user_is_exist(user_id=user_id) == False:
+        return False
+    if not userInterface.user_is_valid(user_id=user_id, token=token):
+        return False
+    return True
+
+
+@app.post("/register")
+async def register(
+    email: str = Form(...),
+    name: str = Form(...),
+    corporation: str = Form(...),
+    position: str = Form(...),
+    industry: str = Form(...),
+    db: Session = Depends(get_db),
+) -> ResponseBody:
+    """ """
+    userInterface.register_db(db)
+    if userInterface.user_is_exist(email=email):
+        return ResponseBody(success=False, message="user is already exist")
+
+    token = uuid.uuid4().hex
+    user = {
+        "user_id": uuid.uuid4().hex,
+        "email": email,
+        "name": name,
+        "token": token,
+        "available": False,
+        "corporation": corporation,
+        "position": position,
+        "industry": industry,
+        "create_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+        "update_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+    }
+    try:
+        contents = email_content(user)
+
+        if AgentVerseServerEnv.Email.send_email:
+            yag.send(user["email"], "AgentVerse Token Verification", contents)
+        else:
+            user["available"] = True
+        userInterface.add_user(user)
+    except smtplib.SMTPAuthenticationError as e:
+        logger.error(traceback.format_exc())
+        return ResponseBody(success=False, message="email send failed!", data=None)
+
+    except:
+        logger.error(traceback.format_exc())
+        return ResponseBody(success=False, message="register failed", data=None)
+    return ResponseBody(
+        data=user,
+        success=True,
+        message="Register success, we will send a email to you!",
+    )
+
+
+@app.get("/auth")
+async def auth(
+    user_id: str = Query(...), token: str = Query(...), db: Session = Depends(get_db)
+) -> ResponseBody:
+    """ """
+    userInterface.register_db(db)
+    user = userInterface.get_user(user_id=user_id)
+    if (
+        AgentVerseServerEnv.default_login
+        and user_id == "admin"
+        and token == "agentverse-admin"
+    ):
+        return ResponseBody(data=user.to_dict(), success=True, message="auth success")
+
+    if user == None:
+        return ResponseBody(success=False, message="user is not exist")
+
+    if user.token != token:
+        return ResponseBody(success=False, message="token is not correct")
+    expired_time = datetime.now() - datetime.strptime(
+        user.update_time, "%Y-%m-%d %H:%M:%S"
+    )
+    if expired_time.seconds > 60 * 60 * 24 * 7:
+        return ResponseBody(success=False, message="token is expired")
+    if user.available == False:
+        user.available = True
+        user.update_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")
+        userInterface.update_user(user)
+    else:
+        return ResponseBody(success=False, message="user is already available!")
+
+    return ResponseBody(data=user.to_dict(), success=True, message="auth success")
+
+
+@app.post("/login")
+async def login(
+    email: str = Form(...), token: str = Form(...), db: Session = Depends(get_db)
+) -> ResponseBody:
+    """ """
+    userInterface.register_db(db)
+    user = userInterface.get_user(email=email)
+    if (
+        AgentVerseServerEnv.default_login
+        and email == "admin"
+        and token == "agentverse-admin"
+    ):
+        return ResponseBody(data=user.to_dict(), success=True, message="auth success")
+    if user == None:
+        return ResponseBody(success=False, message="user is not exist")
+
+    if user.token != token:
+        return ResponseBody(success=False, message="token is not correct")
+    if user.available == False:
+        return ResponseBody(success=False, message="user is not available")
+
+    return ResponseBody(data=user.to_dict(), success=True, message="login success")
+
+
+@app.post("/check")
+async def check(token: str = Form(...), db: Session = Depends(get_db)) -> ResponseBody:
+    """ """
+    userInterface.register_db(db)
+    if token is None:
+        return ResponseBody(success=False, message="token is none")
+
+    check = userInterface.token_is_exist(token)
+
+    if check is True:
+        return ResponseBody(data=check, success=True, message="token is effective")
+
+    return ResponseBody(data=check, success=True, message="token is invalid")
+
+
+@app.websocket_route("/ws/{client_id}", name="ws")
+class MainServer(WebSocketEndpoint):
+    encoding: str = "text"
+    session_name: str = ""
+    count: int = 0
+    client_id: str = ""
+    websocket: WebSocket = None
+
+    """
+    In this websocket, we will receive the args from user,
+    and you can use it to run the interaction.
+    specifically, the args is a dict, and it must contain a key named "goal" to tell AgentVerse what do you want to do.
+    and you can add other keys to the args to tell AgentVerse what do you want to do.
+
+    """
+
+    def __init__(self, *args, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.db: Session = None
+        self.userInterface = userInterface
+        self.interactionInterface = interactionInterface
+
+    def register_db(self):
+        if connection:
+            self.db = connection.db_session
+            logger.info("init websocket db session")
+        else:
+            self.db = None
+        self.userInterface.register_db(self.db)
+        self.interactionInterface.register_db(self.db)
+
+    async def on_connect(self, websocket: WebSocket):
+        self.client_id = self.scope.get("path_params", {}).get("client_id", None)
+        self.date_str = datetime.now().strftime("%Y-%m-%d")
+        self.log_dir = os.path.join(
+            os.path.join(
+                AgentVerseServerEnv.base_dir, "localstorage", "interact_records"
+            ),
+            self.date_str,
+            self.client_id,
+        )
+        if not os.path.exists(self.log_dir):
+            os.makedirs(self.log_dir)
+
+        self.logger = Logger(
+            log_dir=self.log_dir,
+            log_file=f"interact.log",
+            log_name=f"{self.client_id}_INTERACT",
+        )
+        query_string = self.scope.get("query_string", b"").decode()
+        parameters = parse_qs(query_string)
+        user_id = parameters.get("user_id", [""])[0]
+        token = parameters.get("token", [""])[0]
+        description = parameters.get("description", [""])[0]
+        self.logger.typewriter_log(
+            title=f"Receive connection from {self.client_id}: ",
+            title_color=Fore.RED,
+            content=f"user_id: {user_id}, token: {token}, description: {description}",
+        )
+        with broadcast_lock:
+            await manager.connect(websocket=websocket, websocket_id=self.client_id)
+        # await websocket.accept()
+        # await websocket_queue.put(websocket)
+        self.websocket = websocket
+        self.register_db()
+
+        if self.userInterface.user_is_exist(user_id=user_id) == False:
+            raise AgentVerseIOWebSocketConnectError("user is not exist!")
+        # auth
+        if not self.userInterface.user_is_valid(user_id=user_id, token=token):
+            raise AgentVerseIOWebSocketConnectError(
+                f"userid='{user_id}', token='{token}', user is not available!"
+            )
+        # check running, you can edit it by yourself in envs.py to skip this check
+        if AgentVerseServerEnv.check_running:
+            if self.interactionInterface.is_running(user_id=user_id):
+                raise AgentVerseIOWebSocketConnectError(
+                    "You have a running interaction, please wait for it to finish!"
+                )
+
+        base = InteractionBase(
+            interaction_id=self.client_id,
+            user_id=user_id,
+            create_time=datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+            description=description if description else "AgentVerse",
+            recorder_root_dir="",
+            status="waiting",
+            message="waiting...",
+            current_step=uuid.uuid4().hex,
+            update_time=datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
+        )
+        self.interactionInterface.create_interaction(base)
+        await websocket.send_text(
+            WebsocketResponseBody(
+                status="connect",
+                success=True,
+                message="connect success",
+                data=base.to_dict(),
+            ).to_text()
+        )
+
+    async def on_disconnect(self, websocket, close_code):
+        try:
+            self.interactionInterface.update_interaction_status(
+                interaction_id=self.client_id,
+                status="failed",
+                message=f"failed, code: {close_code}",
+                current_step=uuid.uuid4().hex,
+            )
+            self.logger.typewriter_log(
+                title=f"Disconnect with client {self.client_id}: ", title_color=Fore.RED
+            )
+            await manager.disconnect(self.client_id, websocket)
+        except Exception as e:
+            logger.error(traceback.format_exc())
+        finally:
+            if self.db:
+                self.db.close()
+
+    async def on_receive(self, websocket, data):
+        self.logger.typewriter_log(
+            title=f"Receive data from {self.client_id}: ",
+            title_color=Fore.RED,
+            content=data,
+        )
+        args = await self.check_receive_data(data)
+        # in this step, we need to update interaction to register file_list
+        self.interactionInterface.update_interaction(
+            {
+                "interaction_id": self.client_id,
+            }
+        )
+        parameter = InteractionParameter(
+            interaction_id=self.client_id,
+            parameter_id=uuid.uuid4().hex,
+            args=args,
+        )
+        self.interactionInterface.add_parameter(parameter)
+        self.logger.info(
+            f"Register parameter: {parameter.to_dict()} into interaction of {self.client_id}, done!"
+        )
+        await asyncio.create_task(self.do_running_long_task(parameter))
+
+    async def on_send(self, websocket: WebSocket):
+        while True:
+            await asyncio.sleep(10)
+            await websocket.send_text(
+                WebsocketResponseBody(
+                    status="pong", success=True, message="pong", data={"type": "pong"}
+                ).to_text()
+            )
+
+    async def check_receive_data(self, data):
+        data = json.loads(data)
+        args = data.get("args", {})
+        # self.logger.info(f"!!!args :{args}")
+        if not isinstance(args, dict):
+            await self.websocket.send_text(
+                WebsocketResponseBody(
+                    status="failed", message="args is empty!", data=None
+                ).to_text()
+            )
+            raise AgentVerseIOWebSocketReceiveError("args is empty!")
+        return args
+
+    async def do_running_long_task(self, parameter):
+        current_step = uuid.uuid4().hex
+        base = self.interactionInterface.get_interaction(interaction_id=self.client_id)
+        self.interactionInterface.update_interaction_status(
+            interaction_id=base.interaction_id,
+            status="running",
+            message="running",
+            current_step=current_step,
+        )
+
+        interaction = AgentVerseInteraction(base=base, parameter=parameter)
+
+        io = AgentVerseIO(
+            input=WebSocketInput(
+                max_wait_seconds=600,
+                websocket=self.websocket,
+            ),
+            output=WebSocketOutput(websocket=self.websocket),
+        )
+
+        interaction.resister_logger(self.logger)
+        self.logger.info(
+            f"Register logger into interaction of {base.interaction_id}, done!"
+        )
+
+        io.set_logger(logger=interaction.logger)
+        interaction.resister_io(io)
+        self.logger.info(
+            f"Register io into interaction of {base.interaction_id}, done!"
+        )
+        interaction.register_db(self.interactionInterface)
+        self.logger.info(
+            f"Register db into interaction of {base.interaction_id}, done!"
+        )
+        # Create AgentVerseServer
+        server = AgentVerseServer()
+        server.set_logger(logger=self.logger)
+        self.logger.info(
+            f"Register logger into AgentVerseServer of {base.interaction_id}, done!"
+        )
+        self.logger.info(
+            f"Start a new thread to run interaction of {base.interaction_id}, done!"
+        )
+        task = asyncio.create_task(server.interact(interaction))
+        await task
+        with broadcast_lock:
+            if manager.is_connected(self.client_id):
+                await manager.disconnect(self.client_id, self.websocket)
+        interaction.logger.info("done!")
+
+
+if __name__ == "__main__":
+    uvicorn.run(
+        app=AgentVerseServerEnv.app,
+        port=AgentVerseServerEnv.port,
+        reload=AgentVerseServerEnv.reload,
+        workers=AgentVerseServerEnv.workers,
+        host=AgentVerseServerEnv.host,
+    )
diff --git a/requirements.txt b/requirements.txt
index 0a93efec9..bdbd77cd3 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -18,3 +18,5 @@ rapidfuzz
 spacy
 colorama==0.4.6
 tiktoken==0.5.1
+inputimeout==1.0.4
+python-dotenv==1.0.0
diff --git a/start_server.py b/start_server.py
new file mode 100644
index 000000000..0206d25db
--- /dev/null
+++ b/start_server.py
@@ -0,0 +1,12 @@
+import uvicorn
+
+from AgentVerseServer.envs import AgentVerseServerEnv
+
+if __name__ == "__main__":
+    uvicorn.run(
+        app="app:app",
+        host=AgentVerseServerEnv.host,
+        port=AgentVerseServerEnv.port,
+        reload=AgentVerseServerEnv.reload,
+        workers=AgentVerseServerEnv.workers,
+    )