GraphCanon updated Sep 13, 2026 · GitHub synced Sep 13, 2026
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Decision brief
pydantic-ai-shields is specialized to enforce safety guardrails for Pydantic AI tools with features like cost tracking, prompt injection detection, PII filtering, secret redaction, tool permissions, and async guardrails.
Good fit when
- When you need type-safe integrations with Pydantic and want built-in capabilities via pydantic-ai's native API
- For adding specific input validation through pluggable functions to prevent prompt injection in your AI interactions
Avoid when
- If your project already relies on a different framework that does not integrate well with Pydantic
- When you require detailed content moderation functionalities beyond simple PII filtering and secret redaction
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (2d since push)
- As of Sep 13, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 13, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install pydantic-ai-shieldsSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Provides cost tracking, prompt injection detection, PII filtering, secret redaction, tool permissions, and async guardrails built on pydantic-ai's native capabilities API.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 13, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 13, 2026)
```python from pydantic_ai import AgentSource link
Tags
README
Installation Quick Start Infrastructure Shields Class Description Token/USD tracking with budget enforcement Block tools or require approval Custom input validation (pluggable function) Custom output validation (pluggable function) Concurrent guardrail + LLM execution License MIT...
For agents
This page has a .md twin and JSON over the API.