sandbox-sdk

Secure code execution for AI workflows is achieved by using isolated sandbox environments that manage per-user execution and lifecycle. This SDK provides built-in code interpreters to safely run untrusted code across development, testing, and production contexts.

Yes, per-user sandboxing is supported for interactive AI agent testing. You can create isolated execution environments with lifecycle management to safely test and run code interpreters for individual users.

To set up a code interpreter for isolated execution, install the Sandbox SDK and create a Sandbox instance. This initializes a secure environment satisfying API usage, object bindings, and runtime execution requirements for both cloud and local setups.

Yes, the Sandbox SDK supports Cloudflare Durable Objects for runtime execution. It satisfies object bindings and API usage requirements to manage secure, isolated code execution across cloud and local environments.

The SDK focuses on secure, isolated execution and lifecycle management for AI workflows. While it supports cloud and local environments, specific limitations depend on your runtime context and object bindings within the secure execution environment.

You need secure code execution environments when running untrusted code or building interactive AI development setups. It enables rapid experimentation and testing by providing isolated, per-user sandboxes for safe code interpretation.