Tokyo Battle Env

Real-Data Environment: Unlike synthetic AI benchmarks, Tokyo Risk grounds every experiment in reality. Google Places API feeds Tokyo's 23 wards , while Google Routes API injects real traffic conditions as dynamic combat penalties. Agents reason about a city that actually exists. Autonomous Online Learning Loop: Each player deploys 10 agents configured with custom system prompts, tool selections, and multi-agent coordination strategies. After each battle, results feed back into an automated optimization cycle—Gemini analyzes outcomes, generates improved configurations, and reruns the experiment automatically. The system answers: "What prompt, tool, and agent strategy actually wins on real Tokyo geography?" Voice-Driven Sub-Commander: A sub-commander layer bridges human intent and agent execution via voice. Speak a command and Gemini parses it through Function Calling into live agent directives.