AI & LLM Validators

AI-focused validators for prompt injection detection, token counting, and LLM output sanitization.

3 code snippets available

Prompt Injection Detect

ai

Basic heuristic to detect "Ignore previous instructions".

#llm#security#sanitize
ts
const isInjection = (s: string): boolean => 
  /ignore previous|system override|DAN mode|as an AI language model/i.test(s);

Token Counter (Approx)

ai

Estimates token count for LLM APIs.

#llm#token#openai
ts
const estimateTokens = (text: string): number => Math.ceil(text.split(/\s+/).length * 1.3);

Sanitize LLM Output

ai

Removes code blocks and unsafe content from LLM responses.

#llm#sanitize#security
ts
const sanitizeLLM = (output: string): string => output.replace(/```[\s\S]*?```/g, '[code removed]');

About AI & LLM Validators

Our ai & llm validation snippets are designed to handle the most common validation scenarios you'll encounter in modern software development. Each snippet is thoroughly tested, optimized for performance, and follows industry best practices.

All validators are available in multiple programming languages including JavaScript, TypeScript, Python, Go, PHP, C#, and Rust. Simply copy the code snippet, adapt it to your specific needs, and integrate it into your project. Every snippet is MIT licensed—free for personal and commercial use.

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