0149-python-configuration

What problem does it solve?

Centralizing application configuration so environment-specific values don’t need to be hardcoded or scattered throughout your codebase, and so misconfiguration is caught immediately at startup.

Core Features & Use Cases

• Typed configuration models: Define a single settings object using pydantic-settings to parse and validate environment variables into strongly typed fields.
• Fail-fast validation: Require critical settings (like API keys and database credentials) with clear errors when missing or invalid.
• Environment-aware behavior: Support dev/staging/prod differences via flags, defaults, and environment selection, including nested and namespaced environment variables.

Quick Start

Create a pydantic-settings Settings class that maps environment variables (e.g., DATABASE_URL, API_KEY, DEBUG) into typed fields and let it validate at application startup.