@trapar-waves/llm-template

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A production-ready template for LLM (Large Language Model) application development, integrating AI tools, TypeScript type safety, Zod validation, and modern dev utilities.
✨ Features
- Type Safety: Powered by TypeScript for compile-time type checking and enhanced code maintainability.
- Runtime Validation: Zod schema validation ensures data integrity across API endpoints and model interactions.
- Rapid Development: Vite-based dev server with HMR (Hot Module Replacement) for instant feedback during iteration.
- Test-Driven: Vitest integrated for fast unit testing, ensuring code reliability from development to production.
- AI-Ready: Pre-configured with AI SDKs (
@ai-sdk/openai
, ai
) for seamless LLM integration and workflow automation.
- Cross-Platform Paths:
pathe
for consistent path handling across Windows/macOS/Linux environments.
- Code Consistency: Prettier formatting and Antfu's ESLint rules enforce standardized code style.
- Environment Management:
dotenv
for secure configuration of API keys and environment-specific settings.
💻 Tech Stack
- Development: Provides TypeScript language support, Vite development server, and Rslib build tooling for strict type checking, fast hot module replacement, and optimized production builds.
- AI Integration: Integrates OpenAI API client and AI workflow utilities to support large language model interactions and AI-driven feature development.
- Validation & Quality: Includes Zod runtime schema validation, ESLint code quality enforcement, and Prettier formatting tools to ensure code integrity and consistency.
- Development: Contains Vitest testing framework, Pathe path manipulation, Dotenv environment variable management, and other development utilities to support comprehensive project requirements.
See the package.json for a full list of dependencies.
🚀 Getting Started
Follow these instructions to get the project running locally.
Prerequisites
Ensure you have the following installed:
- Node.js (>= 18.x recommended)
- Package manager (npm, yarn, or pnpm)
node -v
npm -v
Installation
Run script
pnpm create trapar-waves
Install dependencies
npm install
yarn install
pnpm install
🤝 Contributing
Contributions are welcome and greatly appreciated! Please follow these steps to contribute:
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature
)
- Commit your changes (
git commit -m 'Add some amazing feature'
)
- Push to the branch (
git push origin feature/amazing-feature
)
- Open a Pull Request
👤 Author
🔗 Links