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AI Agents · Lesson

Docker-Based Agent Sandboxes

Spinning up disposable containers for agent-generated code execution.

Why Agents Need Sandboxes

When an agent executes code written by an LLM, that code is untrusted. It may attempt to read sensitive files, establish outbound connections, or consume unlimited resources.

A sandbox isolates code execution so damage is contained regardless of what the code does.

Docker as a Sandbox Layer

Docker containers provide lightweight OS-level isolation. Each code snippet runs inside a fresh container with explicit resource caps and network restrictions.

The docker Python SDK lets you spin up and destroy containers programmatically from inside your agent.

import docker

client = docker.from_env()
print(client.version()['Version'])

All lessons in this course

  1. Docker-Based Agent Sandboxes
  2. VM Isolation for High-Security Code Agents
  3. E2B and Cloud Sandbox Services
  4. Security Policies for Code Execution
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