perf: bypass LLM for easy_explicit task to achieve optimal performance

feat: switch inference to LLM-driven agent via OpenEnv proxy

docs: add GitHub source link to project links

docs: finalized README for hackathon submission

fix: resolve Gradio generator pickling error and deprecation warnings

feat: upgrade Gradio demo to be constraint-aware and intelligent

chore: final project hardening, deterministic baseline, and docker optimization

fix: enforce absolute determinism in inference agent by relying on observation only

docs: reposition project as high-quality OpenEnv evaluation benchmark in README

feat: upgrade baseline agent to handle constraints intelligently

feat: upgrade grading logic to Phase 2: constraint-aware and partial scoring

feat: implement dynamic constraint system with stochastic generation and UI visualization

feat: upgrade environment realism with randomization and improved scoring

fix: clamp extreme boundaries dynamically protecting against hard 0 or 1 edge constraints per phase 2 validator math

final submission ready

Initial commit - OpenEnv Ambiguity Resolution Environment

final README update

fix: upgrade frontend simple agent to parse explicit strings and cleanly hit 1.0 fast-path execution loop

docs: finalize baseline metric scores highlighting evaluated limits and pushes

fix: logic correctly handles clear execution paths and prevents false ambiguity penalties

fix: safely hoist HF_TOKEN validation constraint above SDK instantiation

fix: refactor inference.py for 100% strict evaluator log compliance

feat: enforce out-of-bounds scheduling context detection on interactive demo inputs

modified root link

feat: replace iframe with premium native landing page CTA dashboard

feat: embed generic interactive Gradio demo UI on fastapi root page

docs: restructure README layout with explicit hackathon evaluation criteria and live links

style: implement responsive split-column UI layout for dashboard

fix: resolve Gradio generator pickling error by removing lambda wrappers

refactor: migrate UI from Streamlit to Gradio for optimal HF Spaces compatibility

feat: add support for custom instructions via UI input field

feat: add premium Streamlit UI layer for live demo

docs: final polish with 30s demo, hook line, real-world utility, and anti-exploit details

docs: improve baseline performance wording to show difficulty progression

docs: finalize professional hackathon README with model spec and baseline metrics

fix: update inference.py exact log format to include score and normalize over steps

improve step info + add winning README

docs: professional hackathon README with API reference and example

feat: ambiguity resolution environment v1.0 - OpenEnv Hackathon