Cell

tower_deepseek-v4-flash_final9_reactive

DeepSeek-V4-Flash on the tower (MT0→MT23w), 3 runs. Not cited by the thesis (development or earlier run).

Outcome
Highest floor reached, per runMT16, MT16, MT16
Died0
Final HP, mean8000
Seconds per model call12.2
Parse error rate0.4%
Settings
FloorTower MT0→MT23w
ModelDeepSeek-V4-Flash (deepseek-v4-flash-0731, thinking)
Planningreactive
Promptengine-default-tower-basic
Temperature0
Lookahead depth2
Mechanical overrideson (logged per turn)
Engine settings (environment, 15)
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
LLM_TIMEOUT=300
Runsopen one to replay it turn by turn
#outcomefinal HPHP / optturnsmodel callsreplay
1MT167607–581308replay
2MT164197–635310replay
3MT1612196–649329replay
Re-run this cell

In a checkout of mt-ai-lab with an API key set (the result goes to a new file rerun_<time>_tower_deepseek-v4-flash_final9_reactive, never over the thesis result):

python scripts/run_catalog.py --codes T9DR

Result file: results/reliability/tower_deepseek-v4-flash_final9_reactive.json · updated 2026-10-03