AI API FOR PROJECTS

A serverless-ready Python API platform tailored for rapid deployment on Vercel to power AI-driven chat interactions. The repository provides a lightweight, modular foundation featuring custom routing logic, optimized serverless configuration, and minimal dependencies to facilitate clean backend integration for modern AI applications.

Features

• Serverless Architecture: Native optimization for Vercel Serverless Functions using Python.
• AI-Driven Routing: Lightweight and modular custom routing logic designed specifically to process and respond to real-time chat interactions.
• Minimal Footprint: Low dependency overhead ensures fast cold-start times and high execution efficiency.
• Modular Design: Structured backend components allowing seamless integration with custom LLM configurations or multi-agent workflows.

Directory Structure

├── api/             # Main application logic and route handlers
├── package.json     # Node.js configuration for deployment scripts
└── vercel.json      # Advanced routing and Vercel environment configuration

System Requirements

• Python 3.9 or higher
• Node.js (for managing Vercel CLI deployments)
• Vercel CLI

Getting Started

1. Clone the Repository

git clone https://github.com
cd Ai-Api

2. Set Up a Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows use: venv\Scripts\activate

3. Install Dependencies

Ensure your serverless packages are configured within the api/ directory. If a requirements.txt file is required, initialize it inside your python root:

pip install -r api/requirements.txt

4. Local Development

You can simulate the Vercel serverless environment locally using the Vercel CLI:

npm install -g vercel
vercel dev

The application will run locally, routing incoming HTTP payloads to the handlers defined within the api/ directory.

Deployment

Deploying to production requires a single command via the Vercel ecosystem:

vercel --prod

Ensure environment variables and custom endpoint references point directly to your configured live interface at ://paktcpbots.com.

Contributing

1. Fork the repository.
2. Create a specific feature branch (git checkout -b feature/AmazingFeature).
3. Commit modifications (git commit -m 'Add some AmazingFeature').
4. Push to the branch (git push origin feature/AmazingFeature).
5. Open a Pull Request.

License

This project is maintained by shypakistani. Review the repository details for further licensing information.