✨ feat!(llm): 重构并升级大语言模型服务为全新 AI 智能体框架 (#2146)

* ✨ 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>
This commit is contained in:
Rumio
2026-07-03 08:53:56 +08:00
committed by GitHub
co-authored by webjoin111 pre-commit-ci[bot]
parent bdc1374848
commit 80fc5b86a7
223 changed files with 41885 additions and 10006 deletions
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from .runtime import ContextUtils, PermissionUtils
__all__ = ["ContextUtils", "PermissionUtils"]
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from typing import Any
from nonebot.adapters import Bot, Event
from zhenxun.services.ai.utils.scope import ScopeBuilder
class ContextUtils:
"""
从底层依赖容器 (deps) 中提取运行环境信息的纯静态工具类。
"""
@staticmethod
def extract_user_id(deps: Any) -> str | None:
if not deps:
return None
if hasattr(deps, "user_id") and getattr(deps, "user_id") is not None:
return str(getattr(deps, "user_id"))
event = getattr(deps, "event", None)
if event:
try:
return str(event.get_user_id())
except Exception:
return (
str(getattr(event, "user_id", ""))
or str(getattr(event, "sender_id", ""))
or None
)
return None
@staticmethod
def extract_group_id(deps: Any) -> str | None:
if not deps:
return None
if hasattr(deps, "group_id") and getattr(deps, "group_id") is not None:
return str(getattr(deps, "group_id"))
event = getattr(deps, "event", None)
if event:
return str(getattr(event, "group_id", "")) or None
return None
@staticmethod
def extract_platform(deps: Any) -> str:
if not deps:
return "unknown"
if hasattr(deps, "platform") and getattr(deps, "platform") is not None:
return str(getattr(deps, "platform"))
bot = getattr(deps, "bot", None)
if bot:
from zhenxun.utils.platform import PlatformUtils
return PlatformUtils.get_platform(bot)
return "unknown"
@staticmethod
def extract_concurrency_lock_id(
context: Any, scope: Any, default_session_id: str
) -> str:
from zhenxun.services.ai.flow.base import ConcurrencyScope
scope = scope or ConcurrencyScope.GROUP
ns = getattr(getattr(context, "session", None), "namespace", "global")
ns_suffix = f"_{ns}" if ns and ns != "global" else ""
if scope == ConcurrencyScope.GLOBAL:
return f"lock_global{ns_suffix}"
elif scope == ConcurrencyScope.GROUP:
gid = ContextUtils.extract_group_id(getattr(context, "deps", None))
uid = ContextUtils.extract_user_id(getattr(context, "deps", None))
return (
f"lock_group_{gid}{ns_suffix}" if gid else f"lock_user_{uid}{ns_suffix}"
)
elif scope == ConcurrencyScope.USER:
uid = ContextUtils.extract_user_id(getattr(context, "deps", None))
return (
f"lock_user_{uid}{ns_suffix}"
if uid
else f"lock_default_user{ns_suffix}"
)
else:
return f"lock_session_{default_session_id}"
@staticmethod
def generate_session_meta(
bot: Bot,
event: Event,
scope_builder: ScopeBuilder | None = None,
prefix: str = "",
namespace: str | None = None,
agent_name: str | None = None,
) -> Any:
"""根据事件和隔离级别,自动提取生成基于路径作用域的 SessionMetadata"""
from zhenxun.services.ai.context.memory.types import (
Isolation,
SessionMetadata,
)
from zhenxun.services.ai.run.context import NoneBotDeps
if scope_builder is None:
scope_builder = Isolation.AGENT_USER()
deps = NoneBotDeps(bot=bot, event=event)
selector = scope_builder.resolve(
deps=deps,
prefix=prefix,
default_namespace=namespace,
default_agent=agent_name,
)
parts = selector.get_scope_parts()
session_id = selector.scope_prefix
scope_prefix = selector.scope_prefix
all_scopes = {"/"}
current_path = ""
for part in parts:
current_path += f"/{part}"
all_scopes.add(current_path)
accessible_scopes = list(all_scopes)
accessible_scopes.sort(key=lambda x: len(x.split("/")))
return SessionMetadata(
session_id=session_id,
scope_prefix=scope_prefix,
accessible_scopes=accessible_scopes,
selector=selector,
isolation_level=scope_builder,
)
class PermissionUtils:
"""运行时权限校验通用工具类"""
@staticmethod
async def check_superuser(context: Any) -> bool:
bot = context.get_bot()
event = context.get_event()
if bot and event:
from nonebot.permission import SUPERUSER
return await SUPERUSER(bot, event)
return False
@staticmethod
async def check_admin_level(context: Any, min_level: int) -> bool:
if await PermissionUtils.check_superuser(context):
return True
user_id = context.get_user_id()
group_id = context.get_group_id()
if not user_id:
return False
from zhenxun.services.cache.runtime_cache import LevelUserMemoryCache
global_user, group_users = await LevelUserMemoryCache.get_levels(
user_id, group_id
)
user_level = global_user.user_level if global_user else 0
if group_id and group_users:
user_level = max(user_level, group_users.user_level)
return user_level >= min_level
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from collections.abc import Callable
import re
from typing import Any, Generic, TypeVar
from typing_extensions import Self
from pydantic import BaseModel, Field
class ScopeSelector(BaseModel):
"""领域驱动:统一的作用域与实体资源选择器"""
base_prefix: str | None = None
"""基础路径前缀。"""
session_id: str | None = None
"""特定的会话 ID,如指定则绕过前缀拼接,直接作为统一路径。"""
platform: str | None = None
"""目标平台标识(如 'qq')。"""
group_id: str | None = None
"""目标群组 ID。"""
user_id: str | None = None
"""目标用户 ID。"""
namespace: str | None = None
"""插件命名空间标识。"""
agent_name: str | None = None
"""具体智能体标识。"""
bot_id: str | None = None
"""触发环境的 Bot ID。"""
custom_dimensions: dict[str, str] = Field(default_factory=dict)
"""动态的自定义隔离维度字典。"""
def get_scope_parts(self) -> list[str]:
"""获取标准化的路径分段"""
parts = []
if self.base_prefix:
clean = self.base_prefix.strip("/")
if clean:
parts.append(clean)
if self.platform:
parts.append(f"p_{self.platform}")
if self.bot_id:
parts.append(f"b_{self.bot_id}")
if self.group_id:
parts.append(f"g_{self.group_id}")
if self.user_id:
parts.append(f"u_{self.user_id}")
if self.namespace:
parts.append(f"ns_{self.namespace}")
if self.agent_name:
parts.append(f"ag_{self.agent_name}")
for k, v in self.custom_dimensions.items():
parts.append(f"{k}_{v}")
return parts
@property
def scope_prefix(self) -> str:
"""统一的路径生成逻辑"""
if self.session_id:
return self.session_id
parts = self.get_scope_parts()
return "/" + "/".join(parts) if parts else "/"
T_Builder = TypeVar("T_Builder", bound="BaseScopeBuilder")
class BaseScopeBuilder(Generic[T_Builder]):
"""
泛型化作用域构建器基类 (Fluent Builder)。
为继承 of 子类提供极简的链式调用 API,用于快速指定平台、群组、用户等。
"""
def __init__(self):
self._selector = ScopeSelector()
def bot(self, b: str) -> Self:
"""指定目标 Bot ID"""
self._selector.bot_id = b
return self
def platform(self, p: str) -> Self:
"""指定目标平台标识 (如 'qq')"""
self._selector.platform = p
return self
def group(self, g: str) -> Self:
"""指定目标群组 ID"""
self._selector.group_id = g
return self
def user(self, u: str) -> Self:
"""指定目标用户 ID"""
self._selector.user_id = u
return self
def namespace(self, ns: str) -> Self:
"""指定插件命名空间 (如 'rpg_game')"""
self._selector.namespace = ns
return self
def agent(self, a: str) -> Self:
"""指定具体的 Agent 智能体名称"""
self._selector.agent_name = a
return self
def session(self, sid: str) -> Self:
"""直接指定完整的 Session ID 绕过前缀拼接"""
self._selector.session_id = sid
return self
def current(self, bot: Any = None, event: Any = None) -> Self:
"""自动提取当前触发上下文的特征,匹配当前用户/群组"""
from zhenxun.services.ai.run.context import NoneBotDeps
from zhenxun.services.ai.utils.runtime import ContextUtils
deps = (
NoneBotDeps(bot=bot, event=event)
if bot and event
else NoneBotDeps.get_current()
)
if deps:
self._selector.platform = ContextUtils.extract_platform(deps)
bot_inst = getattr(deps, "bot", None)
if bot_inst and hasattr(bot_inst, "self_id"):
self._selector.bot_id = str(bot_inst.self_id)
self._selector.group_id = ContextUtils.extract_group_id(deps)
self._selector.user_id = ContextUtils.extract_user_id(deps)
return self
def normalize_scope_path(path: str) -> str:
"""标准化作用域路径,消除多余的斜杠并确保以 / 开头"""
if not path or path == "/":
return "/"
path = re.sub(r"/+", "/", path)
if not path.startswith("/"):
path = "/" + path
if len(path) > 1:
path = path.rstrip("/")
return path
class ScopeBuilder:
"""流式作用域声明构建器,用于在顶层配置并在底层延迟提取具体的维度值"""
def __init__(self):
"""初始化作用域声明构建器。"""
self._dims: set[str] = set()
self._customs: dict[str, Callable[[Any], str | None]] = {}
def bot(self) -> Self:
"""声明隔离维度包含 Bot ID。"""
self._dims.add("bot")
return self
def platform(self) -> Self:
"""声明隔离维度包含平台类型。"""
self._dims.add("platform")
return self
def group(self) -> Self:
"""声明隔离维度包含群组 ID。"""
self._dims.add("group")
return self
def user(self) -> Self:
"""声明隔离维度包含用户 ID。"""
self._dims.add("user")
return self
def namespace(self) -> Self:
"""声明隔离维度包含插件命名空间。"""
self._dims.add("namespace")
return self
def agent(self) -> Self:
"""声明隔离维度包含智能体名称。"""
self._dims.add("agent")
return self
def custom(
self, key: str, value_extractor: str | Callable[[Any], str | None]
) -> Self:
"""声明自定义的隔离维度及值提取器。"""
if isinstance(value_extractor, str):
self._customs[key] = lambda _: value_extractor
else:
self._customs[key] = value_extractor
return self
def resolve(
self,
deps: Any,
prefix: str = "",
default_namespace: str | None = None,
default_agent: str | None = None,
) -> ScopeSelector:
"""解析当前上下文依赖并生成作用域选择器实例。"""
from zhenxun.services.ai.utils.runtime import ContextUtils
from zhenxun.utils.utils import infer_plugin_namespace
selector = ScopeSelector(base_prefix=prefix)
if "platform" in self._dims:
selector.platform = ContextUtils.extract_platform(deps)
if "bot" in self._dims:
bot_inst = getattr(deps, "bot", None)
if bot_inst and hasattr(bot_inst, "self_id"):
selector.bot_id = str(bot_inst.self_id)
if "group" in self._dims:
selector.group_id = ContextUtils.extract_group_id(deps)
if "user" in self._dims:
selector.user_id = ContextUtils.extract_user_id(deps)
if "namespace" in self._dims:
selector.namespace = (
default_namespace
or getattr(deps, "namespace", None)
or infer_plugin_namespace(default="global")
)
if "agent" in self._dims:
selector.agent_name = default_agent
for k, extractor in self._customs.items():
val = extractor(deps)
if val is not None:
selector.custom_dimensions[k] = str(val)
return selector
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import asyncio
from collections.abc import Callable
import functools
import inspect
import threading
def wrap_to_async(func: Callable) -> Callable:
"""
将任意类型的函数(同步、异步、同步生成器、异步生成器)统一包装为异步执行形态。
确保不会阻塞主线程,并保留原函数的元数据和签名。
"""
if getattr(func, "__is_async_wrapper__", False):
return func
if inspect.isasyncgenfunction(func) or inspect.iscoroutinefunction(func):
return func
if inspect.isgeneratorfunction(func):
async def async_gen_wrapper(*args, **kwargs):
loop = asyncio.get_running_loop()
q = asyncio.Queue()
_sentinel = object()
def _sync_runner():
try:
for item in func(*args, **kwargs):
asyncio.run_coroutine_threadsafe(q.put(item), loop).result()
asyncio.run_coroutine_threadsafe(q.put(_sentinel), loop).result()
except Exception as e:
asyncio.run_coroutine_threadsafe(q.put(e), loop).result()
t = threading.Thread(target=_sync_runner)
t.start()
while True:
item = await q.get()
if item is _sentinel:
break
if isinstance(item, Exception):
raise item
yield item
functools.update_wrapper(async_gen_wrapper, func)
setattr(async_gen_wrapper, "__is_async_wrapper__", True)
setattr(async_gen_wrapper, "_is_async_gen", True)
return async_gen_wrapper
async def async_wrapper(*args, **kwargs):
p_func = functools.partial(func, *args, **kwargs)
return await asyncio.to_thread(p_func)
functools.update_wrapper(async_wrapper, func)
setattr(async_wrapper, "__is_async_wrapper__", True)
setattr(async_wrapper, "_is_coroutine", True)
return async_wrapper