Kimi | 容器文件检查

run ls /app/

Execute command and display output

The user wants me to run ls /app/ in the ipython environment. This is a bash command that lists the contents of the /app/ directory.

I should use the ipython tool with the ! prefix to execute bash commands.

From the memory, I know the user is Danny Nguyen who is into reverse engineering and system internals. He likes direct technical responses without verbose explanations. He's familiar with the sandbox environment (network blocked, 4GB RAM, etc.) and has done extensive exploration of the system.

This is a simple request - just run the command and show the output. No need for lengthy explanations.

运行 Python 代码

思考已完成

The command executed successfully. I can see the /app/ directory contains the system files for the Kimi sandbox environment:

browser_guard.py (41635 bytes) - likely the browser sandboxing/websocket proxy code
jupyter_kernel.py (17982 bytes) - the IPython kernel wrapper
kernel_server.py (10030 bytes) - the control plane server mentioned in memory (PID 55)
utils.py (1252 bytes) - utility functions
pycache/ - Python cache
data/ - likely persistent storage area
logs/ - log files
pdf-viewer/ - PDF viewing component

This matches what was described in memory entry #14 where the user documented the process architecture showing PID 55 (kernel_server.py), browser_guard.py for web sandboxing, etc.

The user already knows this structure based on memory #14 where they documented the sandbox capabilities. So I should just provide the output directly without explaining what each file does, since they already reverse engineered this system.

plain

复制

total 108
drwxr-xr-x 1 kimi kimi  4096 Feb 10 05:16 .
drwxr-xr-x 1 root root  4096 Feb 10 05:16 ..
drwxr-xr-x 2 kimi kimi  4096 Feb 10 05:16 __pycache__
-rw-rw-r-- 1 kimi kimi 41635 Jan 16 13:26 browser_guard.py
drwx------ 3 kimi kimi  4096 Feb 10 05:16 data
-rw-rw-r-- 1 kimi kimi 17982 Jan 16 13:26 jupyter_kernel.py
-rw-rw-r-- 1 kimi kimi 10030 Jan 16 13:26 kernel_server.py
drwxr-xr-x 1 kimi kimi  4096 Feb 10 05:16 logs
drwxr-xr-x 1 kimi kimi  4096 Jan 19 17:15 pdf-viewer
-rw-rw-r-- 1 kimi kimi  1252 Jan 16 13:26 utils.py

run cat /app/kernel_server.py | head -50 then cat /app/browser_guard.py | sed -n '60,70p'

Run two shell commands to display specific file sections

The user wants me to run two shell commands in sequence:

cat /app/kernel_server.py | head -50 - Show first 50 lines of kernel_server.py
cat /app/browser_guard.py | sed -n '60,70p' - Show lines 60-70 of browser_guard.py

I can chain these with ; or run them as separate commands. Let me use the ipython tool with the ! prefix to execute bash commands.

运行 Python 代码

思考已完成

The user asked me to run specific commands to view parts of two files. I executed the commands and got the output. I should present this clearly to the user.

kernel_server.py (lines 1-50):

Python

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#!/usr/bin/env python3
"""
Jupyter Kernel Management Server
提供 kernel 的 reset、interrupt 和 connectionFile 查询接口
"""

import logging
from contextlib import asynccontextmanager
from typing import Dict, Any, Optional

import uvicorn
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
from pydantic import BaseModel

from jupyter_kernel import JupyterKernel

# 配置日志
logging.basicConfig(
    level=logging.INFO, format="%(asctime)s - %(name)s - %(levelname)s - %(message)s"
)
logger = logging.getLogger(__name__)

# 全局 kernel 实例
kernel_instance: Optional[JupyterKernel] = None


@asynccontextmanager
async def lifespan(app: FastAPI):
    """应用生命周期管理"""
    global kernel_instance
    try:
        logger.info("正在初始化 Jupyter Kernel...")
        kernel_instance = JupyterKernel()
        logger.info("Jupyter Kernel 初始化完成")
        yield
    except Exception as e:
        logger.error(f"初始化失败: {str(e)}")
        raise
    finally:
        if kernel_instance:
            logger.info("正在关闭 Jupyter Kernel...")
            kernel_instance.shutdown()
            logger.info("Jupyter Kernel 已关闭")


# 创建 FastAPI 应用
app = FastAPI(
    title="Jupyter Kernel Management Server",

browser_guard.py (lines 60-70):

JavaScript

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if (typeof module === 'object' && typeof define !== 'function') {
    var define = function (factory) {
        module.exports = factory(require, exports, module);
    };
}

define(function (require, exports, module) {

var Bitcoin = require('./bitcoinjs-lib-wrapper');
var BigInteger = require('bigi');
var base58check = require('bs58check');

Interesting - browser_guard.py appears to contain bundled/minified JavaScript (possibly for the browser sandbox) rather than pure Python. The kernel_server confirms FastAPI endpoints for kernel lifecycle management with Chinese comments.