Skip to main content
The praisonai-ts CLI provides the guardrail command for content validation.

​
Quick Start

1

Simple Usage

praisonai-ts guardrail check "Your content here"
2

With Configuration

praisonai-ts guardrail check "Content" --criteria "Must be professional" --json

​
Guardrails CLI Commands

The praisonai-ts CLI provides the guardrail command for content validation.

​
Check Content

# Check content against guardrails
praisonai-ts guardrail check "Your content here"

# Check with custom criteria
praisonai-ts guardrail check "Content" --criteria "Must be professional"

# Get JSON output
praisonai-ts guardrail check "Hello world" --json
Example Output: 
{
  "success": true,
  "data": {
    "status": "passed",
    "score": 0.95,
    "message": "Content passes validation"
  }
}

​
SDK Usage

For programmatic guardrail usage: 
import { LLMGuardrail, builtinGuardrails } from 'praisonai';

// LLM-based guardrail
const guard = new LLMGuardrail({
  name: 'safety',
  criteria: 'Content must be safe and appropriate'
});
const result = await guard.check('Hello world');

// Built-in guardrails
const maxLength = builtinGuardrails.maxLength(100);
const lengthResult = await maxLength.run('Hello');
For more details, see the Guardrails SDK documentation.

Guardrails

Guardrails overview

LLM Guardrail

LLM Guardrail overview