Security Review & Permission Governance · Public

pydantic-ai-backend

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.

Best fitUsers who want source-backed project understanding before installing it.

Check whether this project matches your task before installing it.

What it can doskill, recipe, host_instruction, eval, preflight

Review the portable capability path.

Before continuingVerify in a sandbox

Do not treat a preview pack as a proven local install.

GitHub snapshot104 stars

22 forks · 11 contributors

Doramagic.ai Last verification date: 2026-06-28 Verification method: source evidence, semantic profile, public page gate, and static build acceptance.

Official first step Read manual preview Source repository

Publication status · 2026-06-28

What is pydantic-ai-backend?

File Storage & Sandbox Backends for Pydantic AI: console tools for file operations, Docker-isolated sandboxes for safe execution, and permission system with presets for access control. Enables secure multi-user handling and testing in agents via in-memory, local, or containerized storage.
Best fit: Users who want source-backed project understanding before installing it.
Not for: Not for users who want to skip sandbox verification or cannot accept configuration, permission, or maintenance overhead.
Capability added to an AI workflow: skill, recipe, host_instruction, eval, preflight
First safe verification step: Verify the smallest path in an isolated environment and keep a rollback path.
Verification state: source, Quick Start, and sandbox install checks are recorded as passed.
Top risk: Upgrade or migration may change expected behavior: 0.2.10
Evidence base: https://github.com/vstorm-co/pydantic-ai-backend, https://github.com/vstorm-co/pydantic-ai-backend#readme, Human Manual, Pitfall Log

Quick decision

Use this section to decide whether the project is worth a deeper read.

Best forUsers who want source-backed project understanding before installing it.

Match the project to your task before installing it.

Capabilityskill, recipe, host_instruction, eval, preflight

Repositoryvstorm-co/pydantic-ai-backend

104 stars · 22 forks

What it can do

Translate the upstream project into concrete capabilities the user can judge before installing.

Project Overview & Architecture

Related topics: Backends & Protocol Reference, Console Toolset, Permissions & Capabilities, Sandboxes, Runtimes & Session Management

Source: https://github.com/vstorm-co/pydantic-ai-backend / Human Manual

Backends & Protocol Reference

Related topics: Project Overview & Architecture, Sandboxes, Runtimes & Session Management

Source: https://github.com/vstorm-co/pydantic-ai-backend / Human Manual

Console Toolset, Permissions & Capabilities

Related topics: Project Overview & Architecture, Backends & Protocol Reference

Source: https://github.com/vstorm-co/pydantic-ai-backend / Human Manual

Sandboxes, Runtimes & Session Management

Related topics: Project Overview & Architecture, Backends & Protocol Reference

Source: https://github.com/vstorm-co/pydantic-ai-backend / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

Sources: https://github.com/vstorm-co/pydantic-ai-backend, Human Manual, Project Pack evidence, and downstream validation signals.

Community Discussion Evidence

Project-level external discussion stays visible on the detail page, not only inside the manual.

Stars104 stars

Forks22 forks

Contributors11 contributors

Licenseunknown

Community Discussion Evidence

12 source-linked items

Review these external discussions before using pydantic-ai-backend with real data or production workflows. They are review inputs, not standalone proof that the project is production-ready.

01
Dependency Dashboard
github / github_issue
02
Bug Report: `LocalBackend.write()` doubles carriage returns on Windows
github / github_issue
03
0.2.15
github / github_release
04
0.2.14
github / github_release
05
0.2.13
github / github_release
06
0.2.12
github / github_release
07
0.2.11
github / github_release
08
0.2.10
github / github_release
09
0.2.9
github / github_release
10
0.2.8
github / github_release
11
0.2.7
github / github_release
12
0.2.6
github / github_release

How to start

Only source-backed commands are shown here. Verify them in an isolated environment first.

Try the prompt first

Test the workflow without installing the upstream project.

preview

Read the Human Manual

Understand inputs, outputs, limits, and failure modes.

manual

Take context to your AI host

Use the compiled assets in your preferred AI environment.

context

Run sandbox verification

Confirm install commands and rollback before using a primary environment.

verify

pip install pydantic-ai-backend

Official start command · https://github.com/vstorm-co/pydantic-ai-backend#readme · verified: yes

Human Manual

The English page must expose the real manual, not a short placeholder.

8+ sections · Human Manual

pydantic-ai-backend Manual

Open the full manual

https://github.com/vstorm-co/pydantic-ai-backend Project Manual
Table of Contents
Project Overview & Architecture
Related Pages
1. Purpose and Scope
2. High-Level Architecture
2.1 Protocol Layer
2.2 Backends Layer

Project Overview & Architecture

Related topics: Backends & Protocol Reference, Console Toolset, Permissions & Capabilities, Sandboxes, Runtimes & Session Management

Source: https://github.com/vstorm-co/pydantic-ai-backend / Human Manual

Backends & Protocol Reference

Related topics: Project Overview & Architecture, Sandboxes, Runtimes & Session Management

Source: https://github.com/vstorm-co/pydantic-ai-backend / Human Manual

Console Toolset, Permissions & Capabilities

Related topics: Project Overview & Architecture, Backends & Protocol Reference

Source: https://github.com/vstorm-co/pydantic-ai-backend / Human Manual

Sandboxes, Runtimes & Session Management

Related topics: Project Overview & Architecture, Backends & Protocol Reference

Source: https://github.com/vstorm-co/pydantic-ai-backend / Human Manual

Doramagic Pitfall Log

Source-linked risks stay visible on the manual page so the preview does not read like a recommendation.

Source: Doramagic discovery, validation, and Project Pack records

AI Context Pack and portable assets

After deciding to continue, take the project context into your own AI host.

Complete pack plus user-owned assets

These files are planning and verification assets for Claude Code, Codex, Gemini, Cursor, ChatGPT, and other AI hosts.

Download complete pack Read Human Manual

BundleComplete Project Pack AssetAI Context Pack AssetBoundary & Risk Card AssetHuman Manual AssetPitfall Log AssetPrompt Preview AssetQuick Start EvidenceREPO_INSPECTION.json

Preflight checks

Treat this page as a planning asset, not proof that your local environment is ready.

The manual is generated from source-linked project files and Doramagic validation signals.
Community evidence warnings stay visible instead of being converted into marketing claims.
This English page is indexable because the locale quality gate passed and explicit English index approval is enabled.
Use the upstream repository as the final authority for installation commands, license, and version-specific behavior.

Pitfall Log and verification risks

Doramagic surfaces high-risk items before users treat a candidate capability as verified.

medium

Installation risk requires verification

Upgrade or migration may change expected behavior: 0.2.10

medium

Installation risk requires verification

Upgrade or migration may change expected behavior: 0.2.12

medium

Installation risk requires verification

Upgrade or migration may change expected behavior: 0.2.9

medium

Installation risk requires verification

Developers may fail before the first successful local run: Bug Report: `LocalBackend.write()` doubles carriage returns on Windows

medium

Installation risk requires verification

Developers may fail before the first successful local run: Dependency Dashboard

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Installation risk requires verification

May increase setup, validation, or first-run risk for the user.

medium

Configuration risk requires verification

Upgrade or migration may change expected behavior: 0.2.8