python-configuration
Centralized, typed configuration management using environment variables and pydantic-settings.
- Load and validate all configuration into typed objects at application startup, with required settings crashing immediately if missing
- Supports nested configuration groups, type coercion, custom validators, and environment-specific behavior switching
- Provides sensible defaults for local development while enforcing explicit values for secrets and production settings
- Integrates with
.envfiles for local development and mounted secrets directories for container deployments
Python Configuration Management
Externalize configuration from code using environment variables and typed settings. Well-managed configuration enables the same code to run in any environment without modification.
When to Use This Skill
- Setting up a new project's configuration system
- Migrating from hardcoded values to environment variables
- Implementing pydantic-settings for typed configuration
- Managing secrets and sensitive values
- Creating environment-specific settings (dev/staging/prod)
- Validating configuration at application startup
Core Concepts
1. Externalized Configuration
All environment-specific values (URLs, secrets, feature flags) come from environment variables, not code.
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