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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 (#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>
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webjoin111
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parent
bdc1374848
commit
80fc5b86a7
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from abc import ABC, abstractmethod
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import time
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from typing import Any
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from zhenxun.services.ai.sandbox.addons.base import BaseSandboxExtension
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from zhenxun.services.ai.sandbox.models import (
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SandboxBlueprint,
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SandboxSessionState,
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)
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from zhenxun.services.ai.sandbox.protocols import (
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InteractiveTerminalSession,
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SandboxChannel,
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)
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class BaseSandboxSession(SandboxChannel):
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"""沙箱会话接口，持有 Client 分配的具体资源，提供统一的标准操作"""
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def __init__(self, state: SandboxSessionState):
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self.state = state
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self.last_active_time: float = time.time()
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self.loaded_skills: set[str] = set()
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self.installed_packages: set[str] = set()
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self._extensions: dict[str, BaseSandboxExtension] = {}
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self._meta: dict[str, Any] = {}
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self.workspace_path: str = f"/workspace/{state.session_id}"
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@property
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def session_id(self) -> str:
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return self.state.session_id
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def get_meta(self, key: str, default: Any = None) -> Any:
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"""获取底层驱动的元数据（如映射端口、Base_URL等）"""
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return self._meta.get(key, default)
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async def mount_extension(self, extension_name: str) -> None:
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"""动态挂载一个高级能力扩展到当前通道"""
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from zhenxun.services.ai.sandbox.registry import SandboxRegistry
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extension_cls = SandboxRegistry.get_extension_cls(extension_name)
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if not extension_cls:
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raise ValueError(
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f"Extension '{extension_name}' 未在 SandboxRegistry 注册。"
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)
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extension_instance = extension_cls(self)
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await extension_instance.on_mount()
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self._extensions[extension_name] = extension_instance
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def get_extension(self, extension_name: str) -> BaseSandboxExtension:
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"""获取已挂载的高级能力扩展"""
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if extension_name not in self._extensions:
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raise RuntimeError(f"Extension '{extension_name}' 尚未被挂载到此沙箱环境。")
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return self._extensions[extension_name]
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async def apply_blueprint(
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self, blueprint: SandboxBlueprint, base_path: str | None = None
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) -> None:
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"""声明式应用初始化清单"""
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if blueprint.env:
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current_env = self.get_meta("env", {})
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current_env.update(blueprint.env)
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self._meta["env"] = current_env
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actual_base_path = base_path or self.workspace_path
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if blueprint.entries:
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for rel_path, entry in blueprint.entries.items():
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target_path = f"{actual_base_path}/{rel_path}".replace("//", "/")
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await entry.apply(self, target_path)
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def touch(self) -> None:
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"""更新最后活跃时间，防止被 GC 清理"""
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self.last_active_time = time.time()
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async def is_alive(self) -> bool:
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"""
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检测当前沙箱驱动是否仍然存活且可用。
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默认返回 True，要求各底层驱动根据自身特性实现具体探活逻辑。
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"""
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return True
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async def install_dependencies(self, blueprint: SandboxBlueprint) -> bool:
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"""通过注册的环境配置器(Provisioners)热安装依赖包"""
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from zhenxun.services.ai.sandbox.environments import ProvisionerRegistry
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self.touch()
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success = True
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provisioner = ProvisionerRegistry.get("unified_manifest")
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if provisioner:
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res = await provisioner.install(self, blueprint)
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if res:
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self.installed_packages.add("unified_env_installed")
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else:
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success = False
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return success
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@abstractmethod
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async def create_pty_session(self) -> InteractiveTerminalSession:
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"""创建一个交互式 PTY 终端会话"""
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pass
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@abstractmethod
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async def close(self) -> None:
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pass
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@abstractmethod
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async def run_process(
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self,
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command: str | list[str],
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cwd: str | None = None,
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timeout: float | None = None,
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env: dict[str, str] | None = None,
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on_output: Any = None,
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) -> Any:
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pass
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@abstractmethod
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async def read(self, path: str) -> bytes:
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pass
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@abstractmethod
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async def write(self, path: str, data: bytes) -> bool:
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pass
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@abstractmethod
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async def rm(self, path: str, recursive: bool = False) -> bool:
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pass
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@abstractmethod
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async def mkdir(self, path: str, parents: bool = False) -> bool:
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pass
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async def write_raw_file(self, path: str, content: str) -> bool:
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return await self.write(path, content.encode("utf-8"))
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async def read_raw_file(self, path: str) -> str:
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data = await self.read(path)
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return data.decode("utf-8", errors="replace")
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async def delete_raw_file(self, path: str) -> bool:
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return await self.rm(path)
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async def upload_raw_dir(
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self, local_dir_path: str, sandbox_target_path: str
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) -> bool:
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return True
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class BaseSandboxClient(ABC):
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"""沙箱客户端接口，仅负责与底座通信及生命周期管理"""
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backend_id: str
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@abstractmethod
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async def create(
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self,
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session_id: str,
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blueprint: SandboxBlueprint | None = None,
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) -> BaseSandboxSession:
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pass
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@abstractmethod
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async def resume(self, state: SandboxSessionState) -> BaseSandboxSession:
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pass
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@abstractmethod
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async def delete(self, session: BaseSandboxSession) -> None:
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pass
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BaseSandboxDriver = BaseSandboxSession
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