Add dynamic analyst runtime updates and deployment guides

backend/tools/sandboxed_executor.py

@@ -19,7 +19,6 @@
 import json
 import logging
 import os
-import warnings
 from abc import ABC, abstractmethod
 from typing import Any
 
@@ -71,7 +70,6 @@ class NoSandboxBackend(SandboxBackend):
 
     def __init__(self):
         self._module_cache = {}
-        self._warning_shown = False
 
     def _get_script_name(self, function_name: str) -> str:
         """
@@ -96,19 +94,6 @@ class NoSandboxBackend(SandboxBackend):
     ) -> dict:
         """直接导入模块并执行函数"""
 
-        # 首次使用时显示安全警告
-        if not self._warning_shown:
-            warnings.warn(
-                "\n" + "=" * 60 + "\n"
-                "⚠️  [安全警告] 技能在无沙盒模式下运行 (SKILL_SANDBOX_MODE=none)\n"
-                "   技能脚本将直接在当前进程中执行，无隔离保护。\n"
-                "   建议：生产环境请设置 SKILL_SANDBOX_MODE=docker\n"
-                "=" * 60,
-                RuntimeWarning,
-                stacklevel=2,
-            )
-            self._warning_shown = True
-
         logger.debug(f"[NoSandbox] 执行技能: {skill_name}.{function_name}")
 
         try:
@@ -345,13 +330,13 @@ class SkillSandbox:
         self._backend = self._create_backend()
         self._initialized = True
 
-        logger.info(f"SkillSandbox 初始化完成，模式: {self.mode}")
+        logger.debug(f"SkillSandbox 初始化完成，模式: {self.mode}")
 
     def _create_backend(self) -> SandboxBackend:
         """根据模式创建对应后端"""
 
         if self.mode == "none":
-            logger.info("使用无沙盒模式（直接执行）")
+            logger.debug("使用无沙盒模式（直接执行）")
             return NoSandboxBackend()
 
         elif self.mode == "docker":