This directory contains comprehensive documentation for Ray.InputQuery.
Contains AI prompts for automatic generation and development assistance:
- input-class-generator.md - Prompt for generating Input classes from forms or parameter lists
- usage-generator.md - Prompt for generating usage examples and integration patterns
- README.md - Usage guide for the prompt files
These prompts help developers leverage AI to accelerate Ray.InputQuery adoption and implementation.
Contains design philosophy, concepts, and architectural documentation:
- Design principles and philosophy behind Ray.InputQuery
- Input-as-first-class-citizen concept explanations
- Innovation patterns and use case studies
- Framework philosophy and architectural decisions
The design documentation explains the theoretical foundation and rationale behind Ray.InputQuery's approach to input handling.
Contains various data format examples and patterns for Input class generation:
- Sample data in different formats (HTML forms, JSON schemas, GraphQL schemas, CSV data, OpenAPI specs)
- PHP method signatures and scalar-to-structured transformation patterns
- UI mockups and wireframes examples
- ALPS profiles for API documentation
These samples serve as reference material and test cases for Input class generation and demonstrate real-world data structure patterns.
Use these resources to understand, implement, and extend Ray.InputQuery in your projects.