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78031d16c0f3e8e629c1c325c98e83800560114b
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4 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 48b627d498 Add LoRA training scripts and fix bake-off token budget 
- training/scripts/train_lora.py: Unsloth QLoRA trainer for qwen3:8b
- training/scripts/train_lora.sh: Launch script for steel141 RTX 3090 Ti
- eval/bakeoff.py: Fixed token budget (400->1500) that caused qwen3
  models to exhaust tokens on thinking, added --no-think flag
- agent/serve.py: Default model changed to gemma3n:e4b

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
 2026-03-18 10:40:18 -04:00
Seth e00d454b19 Add baseline assistant with tools, guardrails, and system prompts (Phase 1.4) 
- agent/serve.py: CLI assistant with interactive, single-query, and eval modes (Ollama + qwen3-coder)
- agent/tools/rcon_tool.py: RCON execute, server status, player info
- agent/tools/knowledge_tool.py: TF-IDF RAG search, command reference lookup, server context
- agent/guardrails/command_filter.py: 14-prefix allowlist, execute-tail bypass detection, destructive flags, 1.21 syntax warnings, audit log
- agent/prompts/system_prompts.py: sudo (pure commands), god (persona), intervention (benign) system prompts
- Guardrails tested: 10/10 allowlist, 5/6 syntax warnings pass
 2026-03-18 02:12:20 -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