Add pre-training audit scripts, OpenEnv manifest, and tune Parlay training/env (GRPO 1.5B default, min-reward filters, weighted data gen, hiring ZOPA+drift, veteran/opponent prompts, Docker/docs)

feat: flash-lite for data-gen and flash for UI; remove training page; card tests; --quiet data gen; data/ inspect path; random baseline; GRPO env wrapper; reward fixes (buyer ZOPA, ToM signals); drift + Brier metrics; Bayesian ToM module

feat: backup existing data + per-episode progress tracking + gemini live-call verification

fix: normalise reward terms for acquisition_term_sheet scale mismatch

fix: fixed sys.path issues on running generate_data.py

feat: backup pre-2.5 data + add --inspect flag for quality diagnostic run

feat: streamline parlay for demo mode and add spectator negotiation mechanics

feat: split Gemini 2.5 Flash (demo) and Flash-Lite (data), SFT threshold 0.3, favicon + check_gemini

feat: project setup