v-checha/valai
AI-native TypeScript validation library optimized for LLM outputs, function calling, and structured generation.
When working with Large Language Models (LLMs), you often need to define specific data formats for their outputs or for tools they use. This tool helps you define the expected structure for data (like a product's name and price) and then validates that messy, raw text output from an LLM conforms to that structure. It can also generate the schema definitions LLMs need for function calling. AI application developers or prompt engineers who build LLM-powered features use this to ensure reliable data.
Available on npm.
Use this if you are a developer building applications with LLMs and need a robust way to define, validate, and automatically clean up structured data outputs from AI models, especially when using TypeScript.
Not ideal if you are not a developer working with TypeScript, or if your primary need is general-purpose data validation for traditional API inputs rather than LLM-specific output parsing.
Stars
22
Forks
—
Language
TypeScript
License
MIT
Category
Last pushed
Dec 11, 2025
Commits (30d)
0
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