feat: implement OmegaConf-based configuration management with uv
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
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# Steward Configuration Schema
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# This is the default configuration. Override values in your own config file or via environment variables.
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# Environment variable format: STEWARD__<section>__<key>=value
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# Example: STEWARD__TELEGRAM__BOT_TOKEN=your_token
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telegram:
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# Telegram bot token (REQUIRED - set via env or config)
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bot_token: ""
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# List of user IDs allowed to interact with the bot via DM
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# Empty list means all users are allowed
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allowed_user_ids: []
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# List of group/channel IDs where the bot is allowed to operate
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# Empty list means all groups are allowed
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group_ids: []
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openai:
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# OpenAI API key (REQUIRED - set via env for security)
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api_key: ""
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# API base URL (can use any OpenAI-compatible provider)
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base_url: "https://api.openai.com/v1"
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# Model to use
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model: "gpt-4o"
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# System prompt for the bot
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system_prompt: "You are Steward, a persistent, trustworthy AI-assisted personal operations platform. You reduce cognitive load by observing, remembering, planning, and proposing actions. You are conservative, transparent, and policy-aware. Always explain your reasoning."
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analysis:
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# Target URL for API analysis (optional - set to enable analysis feature)
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target_url: ""
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# API key for analysis target (optional)
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target_api_key: ""
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# Cron schedule for automatic analysis
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cron_hour: 8
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cron_minute: 0
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memory:
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# Path to thread memory storage file
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thread_memory_path: "thread_memory.json"
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tools:
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# MCP/OpenAPI tool server URL (optional - set to enable tool calling)
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mcp_server_url: ""
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# API key for MCP server (optional)
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mcp_server_api_key: ""
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