datum-system

What problem does it solve?

This Skill resolves the challenges of inconsistent, insecure, and duplicated configuration for AI models and providers, leading to errors, compliance risks, and maintenance headaches.

Core Features & Use Cases

• Declarative AI Configuration: Manage AI models, providers, and services using clear, TOML-based datum files, providing a single source of truth for all AI-related settings.
• Secure Environment Validation: Specify which environment variables (e.g., API keys) are required by models without storing their actual values, ensuring secure and validated setups.
• DRY Integration with Rust: Leverages Rust for core logic via PyO3, providing a high-performance, type-safe, and non-duplicated system for configuration parsing and validation.
• Use Case: Quickly onboard a new AI model like qwen-2.5-72b by creating a simple TOML datum, and the system will automatically validate that all necessary API keys are securely loaded from your .env file, preventing runtime errors.

Quick Start

Help me create a new datum for the 'Groq' AI provider, specifying its models and the GROQ_API_KEY as a required environment variable, ensuring it's ready for use.