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* ✨ feat!(llm): 重构并升级大语言模型服务为全新 AI 智能体框架 - 【重构】将原 services/llm 重构并迁移至全新的 services/ai 架构,提供向下兼容垫片 - 【新增】引入 Agent、Team、Workflow 三大智能体与工作流编排范式 - 【新增】引入基于 RAG 的长期向量记忆与中期槽位记忆系统 - 【新增】引入基于 Docker 的安全代码执行沙箱环境 - 【新增】支持 MCP 协议,允许动态管理和调用 MCP 服务 - 【新增】引入输入输出安全合规护栏与自愈反思机制 - 【优化】重构并优化多厂商 API 适配器 (Gemini, OpenAI, DeepSeek, GLM 等) - 【优化】优化日志脱敏与 Token 预估机制 - 【移除】移除旧版 llm default 和 llm reset-key 命令,新增 llm mcp 管理命令 * 🔧 chore(deps): 更新项目依赖与配置 - 添加 mcp、jieba 和 aiodocker 依赖到配置文件及 requirements.txt - 在 pyright 配置中设置 reportMissingImports 为 none - 调整 .gitignore 中 resources 目录的忽略规则 * ♻️ refactor(tools): 重构工具终止机制并清理知识库日志输出 - 统一使用 `context.state["__end_run__"]` 替代 `EndRunResult` 控制任务结束 - 移除文件系统和向量知识库检索工具中 `ToolResult` 的 `.with_log` 调用 - 调整指令处理器(Directive)的返回值为 `tool_res.output` - 修复部分类型检查警告并优化联合类型判断语法 * ♻️ refactor(tools): 重构工具副作用指令与控制流熔断机制 - 引入 `DirectivePayload` 及 `ToolResult` 的子类以结构化表达工具副作用 - 移除通过 `context.state` 传递魔术变量的隐式控制流设计 - 重构 `DirectiveManager` 处理器接口,直接在处理器中修改 `AgentState` 并构建 `AgentRunResult` - 在 `StandardAgentExecutor` 中统一通过 `directive_manager` 调度工具返回的副作用指令 - 补全 `MessageBuilder` 中部分核心方法的文档注释 * 🐛 fix(sandbox): 修复 Docker 沙箱容器状态检测与会话清理逻辑 -【修复】修正 `is_alive` 中直接读取私有属性的问题,改用 `show()` 返回值 -【修复】解决 `execute_code` 中缓存的执行器与当前会话不一致的问题 -【优化】在清理工作区前增加容器存活检测,避免向已死容器发送请求 -【优化】创建容器时增加运行状态校验,若已停止则自动从缓存中移除并重建 -【优化】优化容器销毁和清理逻辑,静默处理容器不存在 (404) 的异常 * 📝 docs(core): 补充核心模块初始化方法的文档注释 * 🚨 auto fix by pre-commit hooks --------- Co-authored-by: webjoin111 <455457521@qq.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
167 lines
5.3 KiB
Python
167 lines
5.3 KiB
Python
from typing import Any
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from nonebot.adapters import Bot, Event
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from zhenxun.services.ai.utils.scope import ScopeBuilder
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class ContextUtils:
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"""
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从底层依赖容器 (deps) 中提取运行环境信息的纯静态工具类。
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"""
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@staticmethod
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def extract_user_id(deps: Any) -> str | None:
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if not deps:
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return None
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if hasattr(deps, "user_id") and getattr(deps, "user_id") is not None:
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return str(getattr(deps, "user_id"))
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event = getattr(deps, "event", None)
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if event:
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try:
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return str(event.get_user_id())
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except Exception:
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return (
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str(getattr(event, "user_id", ""))
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or str(getattr(event, "sender_id", ""))
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or None
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)
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return None
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@staticmethod
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def extract_group_id(deps: Any) -> str | None:
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if not deps:
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return None
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if hasattr(deps, "group_id") and getattr(deps, "group_id") is not None:
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return str(getattr(deps, "group_id"))
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event = getattr(deps, "event", None)
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if event:
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return str(getattr(event, "group_id", "")) or None
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return None
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@staticmethod
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def extract_platform(deps: Any) -> str:
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if not deps:
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return "unknown"
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if hasattr(deps, "platform") and getattr(deps, "platform") is not None:
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return str(getattr(deps, "platform"))
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bot = getattr(deps, "bot", None)
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if bot:
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from zhenxun.utils.platform import PlatformUtils
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return PlatformUtils.get_platform(bot)
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return "unknown"
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@staticmethod
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def extract_concurrency_lock_id(
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context: Any, scope: Any, default_session_id: str
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) -> str:
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from zhenxun.services.ai.flow.base import ConcurrencyScope
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scope = scope or ConcurrencyScope.GROUP
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ns = getattr(getattr(context, "session", None), "namespace", "global")
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ns_suffix = f"_{ns}" if ns and ns != "global" else ""
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if scope == ConcurrencyScope.GLOBAL:
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return f"lock_global{ns_suffix}"
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elif scope == ConcurrencyScope.GROUP:
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gid = ContextUtils.extract_group_id(getattr(context, "deps", None))
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uid = ContextUtils.extract_user_id(getattr(context, "deps", None))
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return (
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f"lock_group_{gid}{ns_suffix}" if gid else f"lock_user_{uid}{ns_suffix}"
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)
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elif scope == ConcurrencyScope.USER:
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uid = ContextUtils.extract_user_id(getattr(context, "deps", None))
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return (
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f"lock_user_{uid}{ns_suffix}"
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if uid
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else f"lock_default_user{ns_suffix}"
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)
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else:
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return f"lock_session_{default_session_id}"
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@staticmethod
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def generate_session_meta(
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bot: Bot,
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event: Event,
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scope_builder: ScopeBuilder | None = None,
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prefix: str = "",
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namespace: str | None = None,
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agent_name: str | None = None,
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) -> Any:
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"""根据事件和隔离级别,自动提取生成基于路径作用域的 SessionMetadata"""
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from zhenxun.services.ai.context.memory.types import (
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Isolation,
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SessionMetadata,
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)
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from zhenxun.services.ai.run.context import NoneBotDeps
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if scope_builder is None:
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scope_builder = Isolation.AGENT_USER()
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deps = NoneBotDeps(bot=bot, event=event)
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selector = scope_builder.resolve(
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deps=deps,
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prefix=prefix,
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default_namespace=namespace,
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default_agent=agent_name,
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)
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parts = selector.get_scope_parts()
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session_id = selector.scope_prefix
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scope_prefix = selector.scope_prefix
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all_scopes = {"/"}
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current_path = ""
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for part in parts:
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current_path += f"/{part}"
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all_scopes.add(current_path)
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accessible_scopes = list(all_scopes)
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accessible_scopes.sort(key=lambda x: len(x.split("/")))
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return SessionMetadata(
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session_id=session_id,
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scope_prefix=scope_prefix,
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accessible_scopes=accessible_scopes,
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selector=selector,
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isolation_level=scope_builder,
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)
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class PermissionUtils:
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"""运行时权限校验通用工具类"""
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@staticmethod
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async def check_superuser(context: Any) -> bool:
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bot = context.get_bot()
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event = context.get_event()
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if bot and event:
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from nonebot.permission import SUPERUSER
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return await SUPERUSER(bot, event)
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return False
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@staticmethod
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async def check_admin_level(context: Any, min_level: int) -> bool:
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if await PermissionUtils.check_superuser(context):
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return True
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user_id = context.get_user_id()
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group_id = context.get_group_id()
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if not user_id:
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return False
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from zhenxun.services.cache.runtime_cache import LevelUserMemoryCache
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global_user, group_users = await LevelUserMemoryCache.get_levels(
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user_id, group_id
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)
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user_level = global_user.user_level if global_user else 0
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if group_id and group_users:
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user_level = max(user_level, group_users.user_level)
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return user_level >= min_level
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