mirror of
https://github.com/LiteyukiStudio/nonebot-plugin-marshoai.git
synced 2024-11-27 07:15:03 +08:00
🛠️添加小棉工具功能,移除MARSHOAI_ENABLE_TIME_PROMPT配置项
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@ -100,6 +100,9 @@ _✨ 使用 OpenAI 标准格式 API 的聊天机器人插件 ✨_
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当 nonebot 连接到支持的 OneBot v11 实现端时,可以接收头像双击戳一戳消息并进行响应。详见`MARSHOAI_POKE_SUFFIX`配置项。
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## 🛠️ 小棉工具
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小棉工具(MarshoTools)是`v0.5.0`版本的新增功能,支持加载外部函数库来为 Marsho 提供 Function Call 功能。[使用文档](./README_TOOLS.md)
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## 👍 夸赞名单
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夸赞名单存储于插件数据目录下的`praises.json`里(该目录路径会在 Bot 启动时输出到日志),当配置项为`true`
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@ -139,7 +142,7 @@ _✨ 使用 OpenAI 标准格式 API 的聊天机器人插件 ✨_
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| MARSHOAI_ENABLE_SUPPORT_IMAGE_TIP | 否 | `true` | 启用后用户发送带图请求时若模型不支持图片,则提示用户 |
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| MARSHOAI_ENABLE_NICKNAME_TIP | 否 | `true` | 启用后用户未设置昵称时提示用户设置 |
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| MARSHOAI_ENABLE_PRAISES | 否 | `true` | 是否启用夸赞名单功能 |
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| MARSHOAI_ENABLE_TIME_PROMPT | 否 | `true` | 是否启用实时更新的日期与时间(精确到秒)与农历日期系统提示词 |
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| MARSHOAI_ENABLE_TOOLS | 否 | `true` | 是否启用小棉工具(MarshoTools) |
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| MARSHOAI_AZURE_ENDPOINT | 否 | `https://models.inference.ai.azure.com` | OpenAI 标准格式 API 端点 |
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| MARSHOAI_TEMPERATURE | 否 | 无 | 进行推理时的温度参数 |
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| MARSHOAI_TOP_P | 否 | 无 | 进行推理时的核采样参数 |
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@ -1,9 +1,8 @@
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from nonebot.plugin import require
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require("nonebot_plugin_alconna")
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require("nonebot_plugin_localstore")
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from .azure import *
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from .hunyuan import *
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#from .hunyuan import *
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from nonebot import get_driver, logger
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from .config import config
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from .metadata import metadata
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@ -1,15 +1,18 @@
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import contextlib
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import traceback
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from typing import Optional
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from pathlib import Path
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from arclet.alconna import Alconna, Args, AllParam
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from azure.ai.inference.models import (
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UserMessage,
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AssistantMessage,
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ToolMessage,
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TextContentItem,
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ImageContentItem,
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ImageUrl,
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CompletionsFinishReason,
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ChatCompletionsToolCall,
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)
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from azure.core.credentials import AzureKeyCredential
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from nonebot import on_command, logger
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@ -18,11 +21,12 @@ from nonebot.params import CommandArg
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from nonebot.permission import SUPERUSER
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from nonebot_plugin_alconna import on_alconna, MsgTarget
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from nonebot_plugin_alconna.uniseg import UniMessage, UniMsg
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import nonebot_plugin_localstore as store
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from nonebot import get_driver
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from .constants import *
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from .metadata import metadata
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from .models import MarshoContext
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from .models import MarshoContext, MarshoTools
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from .util import *
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driver = get_driver()
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@ -53,11 +57,18 @@ refresh_data_cmd = on_command("refresh_data", permission=SUPERUSER)
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model_name = config.marshoai_default_model
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context = MarshoContext()
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tools = MarshoTools()
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token = config.marshoai_token
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endpoint = config.marshoai_azure_endpoint
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client = ChatCompletionsClient(endpoint=endpoint, credential=AzureKeyCredential(token))
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target_list = [] # 记录需保存历史上下文的列表
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@driver.on_startup
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async def _preload_tools():
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tools_dir = store.get_plugin_data_dir() / "tools"
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os.makedirs(tools_dir, exist_ok=True)
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tools.load_tools(Path(__file__).parent / "tools")
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tools.load_tools(store.get_plugin_data_dir() / "tools")
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@add_usermsg_cmd.handle()
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async def add_usermsg(target: MsgTarget, arg: Message = CommandArg()):
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@ -77,6 +88,7 @@ async def add_assistantmsg(target: MsgTarget, arg: Message = CommandArg()):
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@praises_cmd.handle()
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async def praises():
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#await UniMessage(await tools.call("marshoai-weather.get_weather", {"location":"杭州"})).send()
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await praises_cmd.finish(build_praises())
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@ -200,24 +212,45 @@ async def marsho(target: MsgTarget, event: Event, text: Optional[UniMsg] = None)
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client=client,
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model_name=model_name,
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msg=context_msg + [UserMessage(content=usermsg)],
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tools=tools.get_tools_list()
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)
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# await UniMessage(str(response)).send()
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choice = response.choices[0]
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if (
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choice["finish_reason"] == CompletionsFinishReason.STOPPED
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): # 当对话成功时,将dict的上下文添加到上下文类中
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if (choice["finish_reason"] == CompletionsFinishReason.STOPPED): # 当对话成功时,将dict的上下文添加到上下文类中
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context.append(
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UserMessage(content=usermsg).as_dict(), target.id, target.private
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)
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context.append(choice.message.as_dict(), target.id, target.private)
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if [target.id, target.private] not in target_list:
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target_list.append([target.id, target.private])
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await UniMessage(str(choice.message.content)).send(reply_to=True)
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elif choice["finish_reason"] == CompletionsFinishReason.CONTENT_FILTERED:
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await UniMessage("*已被内容过滤器过滤。请调整聊天内容后重试。").send(
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reply_to=True
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)
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await UniMessage("*已被内容过滤器过滤。请调整聊天内容后重试。").send(reply_to=True)
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return
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await UniMessage(str(choice.message.content)).send(reply_to=True)
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elif choice["finish_reason"] == CompletionsFinishReason.TOOL_CALLS:
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tool_msg = []
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while choice.message.tool_calls != None:
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tool_msg.append(AssistantMessage(tool_calls=response.choices[0].message.tool_calls))
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for tool_call in choice.message.tool_calls:
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if isinstance(tool_call, ChatCompletionsToolCall):
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function_args = json.loads(tool_call.function.arguments.replace("'", '"'))
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logger.info(f"调用函数 {tool_call.function.name} ,参数为 {function_args}")
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await UniMessage(f"调用函数 {tool_call.function.name} ,参数为 {function_args}").send()
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func_return = await tools.call(tool_call.function.name, function_args)
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tool_msg.append(ToolMessage(tool_call_id=tool_call.id, content=func_return))
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response = await make_chat(
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client=client,
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model_name=model_name,
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msg = context_msg + [UserMessage(content=usermsg)] + tool_msg,
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tools=tools.get_tools_list()
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)
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choice = response.choices[0]
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context.append(
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UserMessage(content=usermsg).as_dict(), target.id, target.private
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)
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#context.append(tool_msg, target.id, target.private)
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context.append(choice.message.as_dict(), target.id, target.private)
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await UniMessage(str(choice.message.content)).send(reply_to=True)
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except Exception as e:
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await UniMessage(str(e) + suggest_solution(str(e))).send()
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traceback.print_exc()
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@ -24,13 +24,15 @@ class ConfigModel(BaseModel):
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marshoai_enable_support_image_tip: bool = True
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marshoai_enable_praises: bool = True
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marshoai_enable_time_prompt: bool = True
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marshoai_enable_tools: bool = True
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marshoai_azure_endpoint: str = "https://models.inference.ai.azure.com"
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marshoai_temperature: float | None = None
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marshoai_max_tokens: int | None = None
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marshoai_top_p: float | None = None
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marshoai_additional_image_models: list = []
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marshoai_tencent_secretid: str | None = None
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marshoai_tencent_secretkey:str | None = None
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marshoai_tencent_secretkey: str | None = None
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config: ConfigModel = get_plugin_config(ConfigModel)
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@ -1,5 +1,12 @@
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from .util import *
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from .config import config
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import os
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import re
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import json
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import importlib
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#import importlib.util
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import traceback
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from nonebot import logger
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class MarshoContext:
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"""
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@ -47,3 +54,76 @@ class MarshoContext:
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if target_id not in target_dict:
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target_dict[target_id] = []
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return target_dict[target_id]
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class MarshoTools:
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"""
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Marsho 的工具类
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"""
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def __init__(self):
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self.tools_list = []
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self.imported_packages = {}
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def load_tools(self, tools_dir):
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"""
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从指定路径加载工具包
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"""
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if not os.path.exists(tools_dir):
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logger.error(f"工具集目录 {tools_dir} 不存在。")
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return
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for package_name in os.listdir(tools_dir):
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package_path = os.path.join(tools_dir, package_name)
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if os.path.isdir(package_path) and os.path.exists(os.path.join(package_path, '__init__.py')):
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json_path = os.path.join(package_path, 'tools.json')
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if os.path.exists(json_path):
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try:
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with open(json_path, 'r') as json_file:
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data = json.load(json_file)
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for i in data:
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self.tools_list.append(i)
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# 导入包
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spec = importlib.util.spec_from_file_location(package_name, os.path.join(package_path, "__init__.py"))
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package = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(package)
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self.imported_packages[package_name] = package
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logger.info(f"成功加载工具包 {package_name}")
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except json.JSONDecodeError as e:
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logger.error(f"解码 JSON {json_path} 时发生错误: {e}")
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except Exception as e:
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logger.error(f"加载工具包时发生错误: {e}")
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traceback.print_exc()
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else:
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logger.warning(f"在工具包 {package_path} 下找不到tools.json,跳过加载。")
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else:
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logger.warning(f"{package_path} 不是有效的工具包路径,跳过加载。")
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async def call(self, full_function_name: str, args: dict):
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"""
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调用指定的函数
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"""
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# 分割包名和函数名
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parts = full_function_name.split("__")
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if len(parts) == 2:
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package_name = parts[0]
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function_name = parts[1]
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else:
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logger.error("函数名无效")
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if package_name in self.imported_packages:
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package = self.imported_packages[package_name]
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try:
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function = getattr(package, function_name)
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return await function(**args)
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except AttributeError:
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logger.error(f"函数 '{function_name}' 在 '{package_name}' 中找不到。")
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except TypeError as e:
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logger.error(f"调用函数 '{function_name}' 时发生错误: {e}")
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else:
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logger.error(f"工具包 '{package_name}' 未导入")
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def get_tools_list(self):
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if not self.tools_list or not config.marshoai_enable_tools:
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return None
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return self.tools_list
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15
nonebot_plugin_marshoai/tools/marshoai-basic/__init__.py
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15
nonebot_plugin_marshoai/tools/marshoai-basic/__init__.py
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import os
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from datetime import datetime
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from zhDateTime import DateTime
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async def get_weather(location: str):
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return f"{location}的温度是114514℃。"
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async def get_current_env():
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ver = os.popen("uname -a").read()
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return str(ver)
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async def get_current_time():
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current_time = datetime.now().strftime("%Y.%m.%d %H:%M:%S")
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current_lunar_date = (DateTime.now().to_lunar().date_hanzify()[5:])
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time_prompt = f"现在的时间是{current_time},农历{current_lunar_date}。"
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return time_prompt
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11
nonebot_plugin_marshoai/tools/marshoai-basic/tools.json
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11
nonebot_plugin_marshoai/tools/marshoai-basic/tools.json
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[
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{
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"type": "function",
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"function": {
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"name": "marshoai-basic__get_current_time",
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"description": "获取现在的时间。",
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"parameters": {
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}
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}
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}
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]
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39
nonebot_plugin_marshoai/tools/marshoai-basic/tools_test.json
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39
nonebot_plugin_marshoai/tools/marshoai-basic/tools_test.json
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[
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{
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"type": "function",
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"function": {
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"name": "marshoai-basic__get_weather",
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"description": "当你想查询指定城市的天气时非常有用。",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "城市或县区,比如北京市、杭州市、余杭区等。"
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}
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}
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},
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"required": [
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"location"
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]
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}
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},
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{
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"type": "function",
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"function": {
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"name": "marshoai-basic__get_current_env",
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"description": "获取当前的运行环境。",
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"parameters": {
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}
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}
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},
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{
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"type": "function",
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"function": {
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"name": "marshoai-basic__get_current_time",
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"description": "获取现在的时间。",
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"parameters": {
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}
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}
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}
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]
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@ -0,0 +1,2 @@
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async def write_memory(memory: str):
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return ""
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21
nonebot_plugin_marshoai/tools_wip/marshoai-memory/tools.json
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21
nonebot_plugin_marshoai/tools_wip/marshoai-memory/tools.json
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[
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{
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"type": "function",
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"function": {
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"name": "marshoai-memory__write_memory",
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"description": "当你想记住有关与你对话的人的一些信息的时候,调用此函数。",
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"parameters": {
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"type": "object",
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"properties": {
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"memory": {
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"type": "string",
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"description": "你想记住的内容,概括并保留关键内容。"
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}
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}
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},
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"required": [
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"memory"
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]
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}
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}
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]
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@ -40,7 +40,7 @@ async def get_image_b64(url):
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return None
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async def make_chat(client: ChatCompletionsClient, msg: list, model_name: str):
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async def make_chat(client: ChatCompletionsClient, msg: list, model_name: str, tools: list = None):
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"""调用ai获取回复
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参数:
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@ -50,6 +50,7 @@ async def make_chat(client: ChatCompletionsClient, msg: list, model_name: str):
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return await client.complete(
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messages=msg,
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model=model_name,
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tools=tools,
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temperature=config.marshoai_temperature,
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max_tokens=config.marshoai_max_tokens,
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top_p=config.marshoai_top_p,
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@ -173,13 +174,6 @@ def get_prompt():
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if config.marshoai_enable_praises:
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praises_prompt = build_praises()
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prompts += praises_prompt
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if config.marshoai_enable_time_prompt:
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current_time = datetime.now().strftime("%Y.%m.%d %H:%M:%S")
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current_lunar_date = (
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DateTime.now().to_lunar().date_hanzify()[5:]
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) # 库更新之前使用切片
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time_prompt = f"现在的时间是{current_time},农历{current_lunar_date}。"
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prompts += time_prompt
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marsho_prompt = config.marshoai_prompt
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spell = SystemMessage(content=marsho_prompt + prompts).as_dict()
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return spell
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