Improve reward function to break refuse-everything local minimum and scale training

Clean up dead code, unused imports, and move hardcoded values to config.yaml

Remove all rule-based fallback systems, require LLM inference

Fix critical gaps: prompt-sensitive agent, adversarial customers, executable GRPO, OpenEnv wrapper

Implement self-improving AI oversight system with nested RL environments