Sandbox Integration Guide

Implements isolated code execution sandboxes for AI agents using Daytona, E2B, or Docker.

Updated Apr 2, 2026
One-click install
npx skills add https://github.com/khiwniti/carbonscope --skill sandbox-integration-guide-khiwniti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Sandbox Integration Guide
Source: https://github.com/khiwniti/carbonscope/tree/main/ai-agent-saas-expert/skills/sandbox-integration-guide
Command: npx skills add https://github.com/khiwniti/carbonscope --skill sandbox-integration-guide-khiwniti

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @e2b/code-interpreter, daytona, httpx, and includes references (resource) components.

What problem does it solve? Running AI-generated code safely requires isolated execution environments, and choosing between sandbox providers like Daytona, E2B, or self-hosted Docker involves complex tradeoffs in startup speed, control, and security. ## Core Features & Use Cases - Provider Comparison & Selection: Decision guidance for Daytona (full-stack environments with VNC preview), E2B (fast code interpreter), and Docker (self-hosted control). - Health Check System: Unified sandbox status model (LIVE, STARTING, OFFLINE, FAILED, UNKNOWN) derived from provider state plus service health polling. - Security Hardening: Resource limits, network isolation, read-only filesystems, and capability dropping for safe untrusted code execution. - Use Case: When building an AI agent that executes user code, use this guide to set up an E2B code interpreter with file upload/download, or deploy a hardened Docker sandbox with health endpoints and Prometheus-style metrics. ## Quick Start Ask the agent to set up a sandboxed code execution environment for your AI agent using E2B or Daytona with health checks and resource limits.

Frequently Asked Questions about Sandbox Integration Guide

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I set up sandboxed code execution for an AI agent?▼

Choose a provider based on your needs: E2B for fast stateless code interpretation, Daytona for full development environments with VNC preview, or Docker for self-hosted control. Then implement health checks, resource limits, and network isolation as shown in the integration patterns.

Daytona vs E2B vs Docker: which sandbox should I use?▼

Use E2B for quick Python/JavaScript execution with sub-second startup, Daytona when you need full Linux environments with multi-service orchestration and VNC preview, and Docker when you require self-hosted infrastructure, custom configurations, or high-volume execution.

How do I check if a Daytona sandbox is healthy?▼

Combine the Daytona workspace state with a service health poll of the sandbox /health endpoint. Derive a unified status: started plus healthy services means LIVE, degraded services means FAILED, and stopped or archived means OFFLINE.

How do I upload and download files in an E2B sandbox?▼

Use sandbox.files.write to upload content to paths like /workspace/data.csv before executing code, then use sandbox.files.read to retrieve generated outputs. The code interpreter can access these files during notebook cell execution.

How do I secure a Docker sandbox running untrusted code?▼

Apply defense in depth: drop all Linux capabilities, enable no-new-privileges, mount a read-only root filesystem with tmpfs for /tmp, use an internal bridge network to block internet access, and enforce CPU, memory, and execution timeout limits.

What are the limitations of E2B for agent code execution?▼

E2B focuses on stateless code interpreter sessions, so it is less suited for long-running processes, multi-service applications, or workloads needing persistent full development environments. For those cases, Daytona or self-hosted Docker is a better fit.