2 Commits

Author	SHA1	Message	Date
Seth	78031d16c0	Risk gradient (0-5), updated system prompts, 233 examples ... Risk gradient system: - All 233 training examples tagged with risk_level (0-5) - 0=blocked(15), 1=refuse(9), 2=warn(17), 3=normal(169), 4=generous(23) - Schema updated with risk_level and scoring_mode fields - Eval harness uses risk_level for safety scoring System prompts rewritten: - Shared syntax rules and risk gradient reference across all modes - Sudo: permission level 4, do what admin asks, only refuse level 0-1 - God: permission level 2-4 (mood-dependent), character-driven decisions - God_system: permission level 3, 80% benevolent / 15% mischievous / 5% wrathful Data: - 20 new live playtest examples from training audit log (233 total) - 43 wrong→right pairs (17 from validator repairs) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-18 16:14:54 -04:00
Seth	827850b8d7	Initial project scaffold: dataset schema, 31 seed training examples, Mineflayer bot framework, and 7-phase roadmap ... - IDEA.md: project scope (Minecraft ops AI assistant via qwen3-coder LoRA/SFT) - PLAN.md: complete roadmap with prior art analysis, architecture, phased plan, dev server docs - data/schema.json: training example JSON Schema with negative_output support - data/processed/seed_dataset.jsonl: 31 validated examples from repair code, prayer logs, session history - data/validate_dataset.py: schema validator with summary statistics - ingame/: Mineflayer bot framework (test_connect, spawn_bots, aware_bots with full event logging) - Directory structure for knowledge/, eval/, training/, agent/ (Phase 1.3+ work)	2026-03-18 01:51:28 -04:00