tower_mistral-medium-3.5_final10_reactive
Mistral-Medium-3.5 on the tower (MT0→MT23w), 3 runs. Not cited by the thesis (development or earlier run).
| Highest floor reached, per run | MT4, MT4, MT8 |
| Died | 0 |
| Final HP, mean | 215 |
| Seconds per model call | 20.9 |
| Parse error rate | 11.0% |
| Floor | Tower MT0→MT23w |
| Model | Mistral-Medium-3.5 (mistral-medium-3.5-128b, instruct) |
| Planning | reactive |
| Prompt | engine-default-tower-basic |
| Temperature | 0 |
| Lookahead depth | 2 |
| Mechanical overrides | on (logged per turn) |
Engine settings (environment, 18)
THINKING_MAX_TOKENS=8192 CONVERSATION_HISTORY_TURNS=0 MOTA_OFFER_LEVELUPS=1 MOTA_TOWER_HP_FLOOR=0 MOTA_ORDER_TWO_SIDED=1 MOTA_FIGHT_KEY_FLOOD=1 MOTA_SHOP_ROUTE=1 MOTA_REMOTE_ACTIONS=1 MOTA_WAY_UP=1 MOTA_TOWER_FIDELITY=1 MOTA_PLAN_MEMORY=1 MOTA_NO_KEY_PURCHASE=1 MOTA_WAYUP_COMBINED=1 MOTA_FREE_AFFORD=1 MOTA_NPC_TRADES=1 MOTA_KEY_RESERVE=1 MOTA_AFTER_BATTLE=1 LLM_TIMEOUT=300
In a checkout of mt-ai-lab with an API key set (the result goes to a new file rerun_<time>_tower_mistral-medium-3.5_final10_reactive, never over the thesis result):
python scripts/run_catalog.py --codes T10MM
Result file: results/reliability/_superseded_keyfact/tower_mistral-medium-3.5_final10_reactive.json · updated 2026-10-03