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✨新增加载外部工具集的配置项,修复依赖
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@ -168,7 +168,7 @@ _✨ 使用 OpenAI 标准格式 API 的聊天机器人插件 ✨_
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| MARSHOAI_ENABLE_PRAISES | `bool` | `true` | 是否启用夸赞名单功能 |
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| MARSHOAI_ENABLE_TOOLS | `bool` | `true` | 是否启用小棉工具 |
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| MARSHOAI_LOAD_BUILTIN_TOOLS | `bool` | `true` | 是否加载内置工具包 |
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| MARSHOAI_TOOLSET_DIR | `list` | `[]` | 外部工具集路径列表 |
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## ❤ 鸣谢&版权说明
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@ -80,9 +80,13 @@ target_list = [] # 记录需保存历史上下文的列表
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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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if config.marshoai_enable_tools:
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if config.marshoai_load_builtin_tools:
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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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for tool_dir in config.marshoai_toolset_dir:
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tools.load_tools(tool_dir)
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logger.info("如果启用小棉工具后使用的模型出现报错,请尝试将 MARSHOAI_ENABLE_TOOLS 设为 false。")
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@add_usermsg_cmd.handle()
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@ -250,11 +254,11 @@ async def marsho(target: MsgTarget, event: Event, text: Optional[UniMsg] = None)
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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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if isinstance(tool_call, ChatCompletionsToolCall): # 循环调用工具直到不需要调用
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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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func_return = await tools.call(tool_call.function.name, function_args) # 获取返回值
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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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@ -263,12 +267,17 @@ async def marsho(target: MsgTarget, event: Event, text: Optional[UniMsg] = None)
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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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if choice["finish_reason"] == CompletionsFinishReason.STOPPED:
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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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else:
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await marsho_cmd.finish(f"意外的完成原因:{choice['finish_reason']}")
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else:
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await marsho_cmd.finish(f"意外的完成原因:{choice['finish_reason']}")
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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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@ -33,6 +33,7 @@ class ConfigModel(BaseModel):
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marshoai_enable_time_prompt: bool = True
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marshoai_enable_tools: bool = True
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marshoai_load_builtin_tools: bool = True
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marshoai_toolset_dir: list = []
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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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@ -34,6 +34,8 @@ marshoai_enable_tools: true # 是否启用工具支持。
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marshoai_load_builtin_tools: true # 是否加载内置工具。
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marshoai_toolset_dir: [] # 工具集路径。
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marshoai_azure_endpoint: "https://models.inference.ai.azure.com" # OpenAI 标准格式 API 的端点。
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# 模型参数配置
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@ -87,7 +87,7 @@ class MarshoTools:
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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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logger.success(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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@ -114,10 +114,10 @@ class MarshoTools:
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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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except Exception as e:
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errinfo = f"调用函数 '{function_name}'时发生错误:{e}"
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logger.error(errinfo)
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return errinfo
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else:
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logger.error(f"工具包 '{package_name}' 未导入")
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@ -13,7 +13,8 @@ dependencies = [
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"zhDatetime>=1.1.1",
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"aiohttp>=3.9",
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"httpx>=0.27.0",
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"ruamel.yaml>=0.18.6"
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"ruamel.yaml>=0.18.6",
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"pyyaml>=6.0.2"
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]
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license = { text = "MIT" }
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