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This tutorial explores how to create secure Python sandboxes for AI agents to execute code safely. Learn why code sandboxing is essential for agent systems and explore different sandboxing approaches including Docker, Podman, Pyodide, Deno, and SmolAgents. Understand the technical workings of CPython sandboxes and the MCP-run-python implementation. Follow along with practical demonstrations of both pyodide-Deno sandbox with Pydantic AI and the mcp-run-python sandbox. Compare local sandboxing solutions with cloud alternatives like e2b to determine the best approach for your agent development needs. Access the repository at Trelis.com/ADVANCED-inference to implement these techniques in your own projects.
