feat: 新增工具插件、系统日志、workflow配置及前端优化

1. 新增工具插件(edit_file, python_executor, search_file, shell_executor, write_file)
2. 新增系统事件日志模块和API
3. 新增workflow配置文件和详情API
4. 前端增加SSE、错误边界、设置引导等组件
5. 优化认证加密、速率限制、配置加载等工具模块
6. 删除废弃的cluster和health API
7. 补充单元测试和集成测试

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

kilostar/plugin/tool_plugin/python_executor/__init__.py

@@ -0,0 +1,67 @@
+import asyncio
+import sys
+import tempfile
+import os
+from typing import List, Literal, Dict
+
+from kilostar.plugin.tool_plugin.base_tool import BaseToolData
+
+
+class PythonExecutorToolData(BaseToolData):
+    is_system: bool = True
+    action_scope: List[
+        Literal[
+            "control_node",
+            "consciousness_node",
+            "regulatory_node",
+            "growth_node",
+            "",
+        ]
+    ] = []
+    config_args: Dict[str, str] = {}
+    category: str = "system"
+
+
+async def python_executor(code: str, timeout: int = 30) -> str:
+    """执行 Python 代码片段并返回输出。
+
+    Args:
+        code: 要执行的 Python 代码
+        timeout: 超时秒数，默认 30 秒
+
+    Returns:
+        代码的标准输出 + 标准错误
+    """
+    tmp_file = None
+    try:
+        with tempfile.NamedTemporaryFile(
+            mode="w", suffix=".py", delete=False, encoding="utf-8"
+        ) as f:
+            f.write(code)
+            tmp_file = f.name
+
+        proc = await asyncio.create_subprocess_exec(
+            sys.executable, tmp_file,
+            stdout=asyncio.subprocess.PIPE,
+            stderr=asyncio.subprocess.PIPE,
+        )
+        stdout, stderr = await asyncio.wait_for(
+            proc.communicate(), timeout=timeout
+        )
+        output = stdout.decode("utf-8", errors="replace")
+        err_output = stderr.decode("utf-8", errors="replace")
+        result = ""
+        if output:
+            result += output
+        if err_output:
+            result += f"\n[stderr]\n{err_output}"
+        if proc.returncode != 0:
+            result += f"\n[exit code: {proc.returncode}]"
+        return result.strip() or "(no output)"
+    except asyncio.TimeoutError:
+        return f"[Error] Python 代码执行超时（{timeout}s）"
+    except Exception as e:
+        return f"[Error] 执行失败: {e}"
+    finally:
+        if tmp_file and os.path.exists(tmp_file):
+            os.unlink(tmp_file)