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.