What is pydantic-ai-backend CLAUDE.md?

A project guide for a Python backend library that gives AI agents file storage and sandbox access. It explains the repository's structure, commands, and shared interface for different backends.

Use it when working on this repository, especially for installing dependencies, running tests, checking types, linting, formatting, or understanding its backend interfaces.

It gives coding agents the project-specific context needed to edit the code and run its tests, checks, and formatters correctly.

How vstorm-co/pydantic-ai-backend configures Claude Code

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Nothing to install: this file belongs to vstorm-co/pydantic-ai-backend. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

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curl -O https://raw.githubusercontent.com/vstorm-co/pydantic-ai-backend/main/CLAUDE.md

Clone the repo

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Made for: Claude Code.

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README.md

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Per session 911 This file is loaded in full into every session.

When invoked 911 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00911	$0.00911
Opus 5.5	$0.00364	$0.00364
Sonnet 5.5	$0.00182	$0.00182
Haiku 4.5	$0.00091	$0.00091

Measured 1mo ago against content hash fd3fa49caaf8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

pydantic-ai-backend CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Guidance for Claude Code when working on this repository.

What This Project Is

pydantic-ai-backend supplies Pydantic AI workspaces (Docker, sandboxd, Kubernetes, Daytona, a JSON state document) and the console tools that work in any workspace. It's designed to work with pydantic-ai and pydantic-deep.

Key pattern: Pydantic AI workspaces — tools reach the environment through ctx.workspace; a workspace capability supplies it. This library has no file-operation protocol of its own.

Commands

uv sync --all-extras --group dev  # Install all dependencies
uv run pytest                      # Run tests
uv run coverage run -m pytest && uv run coverage report  # Test with coverage
uv run ruff check .                # Lint
uv run ruff format .               # Format
uv run pyright                     # Type check
uv run mypy src/pydantic_ai_backends  # MyPy check

Structure

src/pydantic_ai_backends/
├── __init__.py       # Public API, lazily loaded
├── types.py          # FileData, FileInfo, CommandOutcome, RuntimeConfig, results
├── protocol.py       # CommandRunner, SandboxUnavailableError
├── capability.py     # ConsoleCapability for pydantic-ai
├── hashline.py       # Content-hash line editing
├── _editing.py       # Shared `edit` replacement rules
├── _limits.py        # Output and read ceilings
├── _optional.py      # Optional-extra imports with install hints
├── _text.py          # Encoding detection, decoding, PDF extraction
├── backends/         # The sandboxes the workspaces run on
│   ├── _runner.py    # The pid-file wrapper and stopper every runner shares
│   ├── state.py      # StateBackend (a filesystem as a JSON document)
│   ├── kubernetes.py # KubernetesPodSandbox (pods/exec)
│   └── docker/       # sandbox.py, session.py, runtimes.py, _exec/_client/_image/_stats
├── workspaces/       # Docker/Sandboxd/Kubernetes/Daytona/StateWorkspace (+ *Backend)
├── permissions/      # types.py, checker.py, presets.py
├── toolsets/         # console.py, descriptions.py, _workspace (ops over ctx.workspace),
│                     # _guard, _shell (glob/grep), _content/_tracking/_ruleset/_failures
└── remote/           # server.py (sandboxd), wire.py, archive.py, env.py, ui/

Read the full file on GitHub · 98 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

1mo ago Changed · +3 lines · -37 tokens per session fd3fa49caaf8
2mo ago First seen · 95 lines · 948 tokens per session scan A 8a8786fa4f6b

Subscribe to this mod's changes

pydantic-ai-backend CLAUDE.md is an instructions file published in the GitHub repository vstorm-co/pydantic-ai-backend (134 stars, last pushed 7d ago), licensed MIT. It adds 911 tokens to every session, about $0.0036 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Backend and APIs ai-agent-framework aiagentframework anthropic chatgpt docker

pydantic-ai-backend CLAUDE.md next to 6 instructions from other repositories
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pydantic-ai-backend: Instructions file for Claude Code