Configuration changes: - Replace pydantic-settings with OmegaConf for flexible config management - Support YAML config files via CONFIG_FILE environment variable - Support environment variables with STEWARD__SECTION__KEY format - Add config_schema.yaml as default configuration schema - Create pydantic models for each configuration section for type safety - Maintain backward compatibility via properties on Settings class - Add CONFIGURATION.md with comprehensive setup and usage guide - Update pyproject.toml to include config_schema.yaml in package data Build/deployment changes: - Replace pip with uv in Dockerfile for faster dependency installation - Create docker-compose.dev.yml for local development (build .) - Keep docker-compose.yml for production (uses ghcr.io/djw4/steward:latest) - Update .env.example with new STEWARD__* variable format This setup is designed for Kubernetes deployment: - Non-sensitive config goes in ConfigMap (config.yaml) - Secrets go in Secret resources (environment variables) - Single unified configuration system for all environments
steward
Steward is a long-running, AI-assisted personal operations platform designed to reduce cognitive load by acting as a persistent, trustworthy steward of both digital infrastructure and delegated personal objectives
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