@trapar-waves/llm-template

A project template for building LLM (Large Language Model) applications.
✨ Features
- Type Safety: Leverages TypeScript (via
typescript
) to improve code quality and reduce runtime errors.
- Validation with Zod: Uses Zod (
zod
) for robust runtime data validation and schema definition.
- Fast Development Workflow: Utilizes Vite (
vite
) for quick server starts and hot module replacement during development.
- Testing Ready: Includes Vitest (
vitest
) for unit testing, indicating attention to code reliability.
- AI Integration: Built with AI-focused libraries like
@ai-sdk/openai
and ai
, suggesting a focus on integrating large language models or AI-driven workflows.
- Efficient Path Handling: Employs
pathe
for cross-platform path manipulation, ensuring consistent file handling across environments.
- Code Formatting: Likely uses Prettier (
prettier
) for consistent code formatting, improving readability and maintainability.
- Environment Configuration: Includes
dotenv
for managing environment variables, enabling easy configuration of different environments (development, production, etc.).
- Linting and Code Quality: Incorporates ESLint (
eslint
) and Antfu’s ESLint configuration (@antfu/eslint-config
) to enforce coding standards and best practices.
🚀 Getting Started
Follow these instructions to get the project running locally.
Prerequisites
Installation
- Clone the repository:
git clone https://github.com/Trapar-waves/llm-template.git
cd @trapar-waves/llm-template
- Install dependencies:
# Use your preferred package manager
npm install
# or
yarn install
# or
pnpm install
🛠️ Usage
Explain how to run and use the project after installation.
Available Scripts
Common scripts available via npm run <script>
, yarn <script>
, or pnpm <script>
:
build
: Builds the project using rslib build
.
build:watch
: Watches for file changes and rebuilds the project automatically using rslib build --watch
.
Example:
# Build the project
npm run build
# Watch and rebuild on changes
npm run build:watch
💻 Tech Stack
Key technologies used in this project include:
- Framework/Library: Likely modular JavaScript/TypeScript setup (indicated by
type: "module"
).
- AI Integration: Libraries like
@ai-sdk/openai
and ai
for working with large language models.
- Validation: Zod (
zod
) for runtime type validation.
- Build Tool: Rslib (
@rslib/core
) for building and packaging the project.
- Testing: Vitest (
vitest
) for unit testing.
- Styling & Formatting: Prettier (
prettier
) for consistent code formatting.
- Language: TypeScript (
typescript
) for type safety.
- Environment Management: Dotenv (
dotenv
) for environment variable handling.
See the package.json for a full list of dependencies.
🤝 Contributing
Contributions are welcome!
📄 License
Distributed under the MIT License. See LICENSE
file for more information.
👤 Author
🔗 Links