Enables LLMs to safely execute code in isolated Docker containers with resource limits and security controls, supporting session management and automatic dependency installation.
Provides a secure, containerized Python sandbox for executing LLM-generated code with multi-layer isolation, along with JSON/CSV validation and workspace state snapshots.
A secure Docker-based environment that allows AI assistants to safely execute code without direct access to the host system by running all code within isolated containers.
Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.
An interactive Python code execution environment that allows users and LLMs to safely execute Python code and install packages in isolated Docker containers.
Provides AI coding agents with a secure, sandboxed environment for executing coding tasks including file operations, command execution, and testing. Features session management, policy enforcement, and Docker-based sandboxing for safe code execution and development workflows.