Launch kit helpers for AI lab client autostart
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Project description
AI LaunchKit
Bootstrap AI projects with sensible defaults.
AI LaunchKit helps developers quickly initialize AI applications with a consistent project structure and configuration. It reduces setup time so you can focus on building features instead of boilerplate.
Features
- Project scaffolding
- Configuration helpers
- Environment initialization
- Startup utilities
- Plugin discovery
- Extensible architecture
Installation
pip install ai-launchkit
Requirements
- Python 3.7+ (3.7-3.8 on Windows 7/8; 3.7-3.13 on Windows 10/11)
- Windows 7 / 8 / 8.1 / 10 / 11
Quick Start
from ai_launchkit import Launcher
launcher = Launcher()
Why LaunchKit?
Every AI project starts with similar setup tasks:
- loading configuration
- initializing services
- preparing providers
- configuring environments
LaunchKit provides reusable utilities for these common tasks.
Use Cases
- AI APIs
- AI microservices
- Internal tooling
- Research projects
- Production platforms
Roadmap
- CLI tooling
- Project templates
- Deployment helpers
- Plugin registry
Contributing
Issues and pull requests are welcome.
License
MIT
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