The amla-sandbox Python package has been released, providing a secure, sandboxed environment for AI agent code execution. Key features include capability enforcement, a virtual filesystem, and network restriction, preventing shell escapes. The package allows developers to define constraints on tool usage, such as specific methods, parameters, and call limits. It is installable via pip, without requiring Docker or a virtual machine, and supports multiple languages including JavaScript and shell. The package includes a simple API for creating sandboxed environments and tools, as well as a constraint DSL for defining access controls.