{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/9"}],"enrichment":{"capability":"Executes code generated by large language models in isolated container environments (Docker, Kubernetes, or Podman) with configurable security policies, resource limits, and support for Python, JavaScript, Java, C++, Go, and R.","skillfed_tags":["llm-integration","code-execution","containerization"],"use_cases":["Run code snippets generated by Claude, ChatGPT, or other LLMs without exposing your system to untrusted execution.","Execute multi-language code (Python, JavaScript, Java, C++, Go, R) in a unified interface for polyglot AI agent workflows.","Extract and save plots and visualizations generated by sandboxed Python or R code automatically.","Deploy scalable code execution for AI agent frameworks (LangChain, CrewAI, Pydantic AI, etc.) with resource limits and security policies.","Maintain state across multiple code executions in interactive Python sessions without manual serialization."],"what_it_does":"LLM Sandbox is a lightweight execution environment that runs code generated by large language models inside isolated containers, protecting the host system from untrusted or malicious code. It abstracts away container orchestration details and provides a unified Python API for spawning sandboxed sessions across multiple backends (Docker, Kubernetes, Podman) and programming languages (Python, JavaScript, Java, C++, Go, R).\n\nThe package is designed to integrate with LLM agent frameworks and Claude Desktop via the Model Context Protocol. It handles dependency installation, resource limits (CPU, memory, execution time), network isolation, and artifact extraction (plots, visualizations). Interactive sessions maintain state across multiple code runs, simulating notebook-style workflows. The single runtime dependency is pydantic, and it supports Python 3.10 through 3.13.","worth_installing":"Yes, with conditions. Install if you need to safely execute LLM-generated code and have a container backend (Docker, Kubernetes, or Podman) available. The package is actively maintained, has low install friction, and integrates well with popular LLM frameworks. However, verify the unclear license terms before use in proprietary contexts, and ensure your deployment environment supports containerization."},"id":"llm-sandbox","links":{"html":"https://skillfed.io/packages/llm-sandbox","md":"https://skillfed.io/packages/llm-sandbox.md","pypi":"https://pypi.org/project/llm-sandbox/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-03","license_spdx":null,"license_treatment":"unclear","name":"llm-sandbox","python_support":"supports_current","summary":"LLM Sandbox is a lightweight and portable sandbox environment designed to run large language model (LLM) generated code in a safe and isolated mode."},"popularity":{"monthly_downloads":661557,"position":5448,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.3.44"}