refactor: apply production readiness recommendations including dataset caching, XSS protection, pure schemas, and JSON decoding logic.

fix: update Guided Demo output to show Anthropic dataset instead of synthetic placeholder

feat: add primary descriptive headline and ensure entirely emoji-free UI

style: remove emojis from the web interface for a professional look

feat: transform custom UI into an intelligent Agent Learning dashboard with progress metrics and reasoning

fix: update Gradio polling logic to use Timer instead of deprecated every kwarg

fix: remove unsupported width/height kwargs from Gradio LinePlot

feat: download real datasets during docker build and mount live reward graph in Gradio UI

fix: clamp grader rewards to strictly (0, 1) to pass OpenEnv validation bounds

feat: update inference, models, and server logic

final: submission ready

fix: update API_BASE_URL to router.huggingface.co, openenv validate passes

fix: conform to OpenEnv base interface contract

Enhancement

PreferenceLab OpenEnv environment for RLHF preference simulation