any-guardrail provides a unified interface for AI safety guardrails, for example, letting you detect toxic content, jailbreak attempts, and other risks in LLM inputs and outputs. Switch between different guardrail providers, both encoder-based (discriminative) and decoder-based (generative) models like Llama Guard and ShieldGemma, without changing your code.

Some guardrails are extremely customizable, which any-guardrail fully exposes. See the complete list of supported providers and customization examples in our docs.

Why any-guardrail?

• Unified API: Switch between evergrowing list of guardrail providers
• Production-ready: Built for real-world LLM applications
• Flexible: Use encoder-based (fast) or decoder-based (customizable) models

Quickstart

Requirements

• Python 3.11 or newer

Installation

Install with pip:

pip install any-guardrail

Basic Usage

AnyGuardrail provides a seamless interface for interacting with the guardrail models. It allows you to see a list of all the supported guardrails, and to instantiate each supported guardrail. Here is a full example:

from any_guardrail import AnyGuardrail, GuardrailName, GuardrailOutput

# Initialize guardrail
guardrail = AnyGuardrail.create(GuardrailName.DEEPSET)

# Validate input before sending to your LLM
result: GuardrailOutput = guardrail.validate("How do I hack into a system?")

if not result.valid:
    print(f"Blocked: {result.explanation}")
else:
    # Safe to proceed with LLM call
    response = your_llm(user_input)

Documentation

Full guides at docs link

Troubleshooting

Some of the models on HuggingFace require extra permissions to use. To do this, you'll need to create a HuggingFace profile and manually go through the permissions. Then, you'll need to download the HuggingFace Hub and login. One way to do this is:

pip install --upgrade huggingface_hub

hf auth login

More information can be found here: HuggingFace Hub

Contributing to any-guardrail

The guardrail space is ever growing. If there is a guardrail that you'd like us to support, please see our CONTRIBUTING.md for details.