Schema Forg AI
Overview
Schema Forg AI is a specialized language model designed to generate production-ready API schemas using the @asteasolutions/zod-to-openapi library.
Unlike generic code generation models, Schema Forg AI was specifically fine-tuned to understand the relationship between JSON structures, OpenAPI specifications, and Zod schemas, producing code compatible with the zod-to-openapi ecosystem.
The goal of the project is to simplify API documentation workflows by generating a single source of truth based on Zod, from which OpenAPI JSON and YAML specifications can be automatically exported.
What the model can do
The model can generate:
- Zod schemas
@asteasolutions/zod-to-openapicode- OpenAPI JSON
- OpenAPI YAML
Starting from inputs such as:
- Raw JSON
- Existing OpenAPI specifications
- API endpoint definitions
- Structured objects
Why this model?
The JavaScript ecosystem already provides excellent tools such as @asteasolutions/zod-to-openapi, but creating high-quality schemas manually is still repetitive and time-consuming.
Schema Forg AI was created to automate this process using a domain-specific language model trained exclusively for API schema generation.
Training
The model was fine-tuned on thousands of synthetic examples covering:
- JSON → Zod
- JSON → zod-to-openapi
- Zod → OpenAPI
- OpenAPI → Zod
- OpenAPI JSON
- OpenAPI YAML
The dataset emphasizes:
- Nested objects
- Arrays
- Enums
- Validation rules
- Nullable fields
- Optional properties
- API endpoints
- Request/Response schemas
- Components
- Parameters
Intended Use
This model is intended for developers working with:
- TypeScript
- Zod
- @asteasolutions/zod-to-openapi
- OpenAPI
- REST APIs
- Backend development
Limitations
This model is highly specialized.
It performs best on API schema generation and conversion tasks and should not be considered a general-purpose coding assistant.
Author
Developed by Edson Carvalho Inturia as an educational research project exploring synthetic dataset generation, LoRA fine-tuning, and specialized language models for API development.