{"categories":[{"label":"Python Modules","url":"https://skillfed.io/packages/category/software-development-libraries-python-modules/16"}],"enrichment":{"capability":"Provides sandboxed execution and file management tools for Pydantic AI agents, supporting in-memory, local filesystem, Docker, and remote container backends with fine-grained permission control.","skillfed_tags":["agent-sandbox","docker-isolation","pydantic-ecosystem"],"use_cases":["Build an AI coding assistant with console tools for file operations and code execution.","Run multi-user web applications where each user's agent gets a Docker sandbox with session isolation.","Create a code review bot with read-only file access and grep/glob search capabilities.","Implement secure execution for untrusted code by using the permission system to block dangerous operations.","Speed up agent testing with in-memory backends for fast, isolated workspaces.","Deploy containerized SaaS where the app never holds the Docker socket\u2014sandboxd owns it instead."],"what_it_does":"pydantic-ai-backend wraps Pydantic AI agents with a ready-made toolset for safe file and code operations. It abstracts multiple execution backends\u2014in-memory state, local filesystem, Docker containers, and remote sandbox services\u2014so agents can read, write, search, and execute code without direct system access. The library enforces a permission system that lets you restrict what operations agents can perform, making it suitable for multi-user applications, code review bots, and untrusted execution scenarios.\n\nThe package is designed to solve the Docker-in-Docker problem for containerized applications: instead of mounting the Docker socket into your app container (a security risk), you run a separate sandboxd service that owns the socket, and your app speaks HTTP to it. This keeps your application container unprivileged while still giving agents access to isolated execution environments. It also supports simpler setups like local development or ephemeral testing.","worth_installing":"Yes. The package is actively maintained, has low install friction, carries a permissive MIT license, and solves a real problem for Pydantic AI users who need safe, isolated execution. It's particularly valuable if you're building multi-user applications or containerized services where Docker socket access is a security concern. No known vulnerabilities."},"id":"pydantic-ai-backend","links":{"html":"https://skillfed.io/packages/pydantic-ai-backend","md":"https://skillfed.io/packages/pydantic-ai-backend.md","pypi":"https://pypi.org/project/pydantic-ai-backend/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-04","license_spdx":"MIT","license_treatment":"permissive","name":"pydantic-ai-backend","python_support":"supports_current","summary":"File storage and sandbox backends for AI agents"},"popularity":{"monthly_downloads":204273,"position":9612,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.2.25"}