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tower",{left:h.names[0],right:h.names[1]}),p[12]=g,p[13]=h.names[0],p[14]=h.names[1],p[15]=l):l=p[15],p[16]!==l?(d=(0,i.jsx)("canvas",{ref:x,role:"img","aria-label":l,className:"aspect-2/3 w-full max-w-100 rounded-lg border border-border"}),p[16]=l,p[17]=d):d=p[17],d}let ec=`Dogs bounce automatically: every landing launches the dog straight up at 800 px/s against gravity of 1800 px/s\xb2, so a bounce rises about ${Math.round(64e4/3600)}px, then falls. A dog lands on a platform only while falling, when its feet are between the platform's top and 24px below it, so it can never land more than about 190px above the platform it bounced off. In the air it can steer left or right at up to 280 px/s; the screen is 400px wide and wraps around. Platforms are 70px wide, and a dog lands if its center is within about 45px of a platform's center. A dog that misses falls until it lands on a lower platform, or respawns lower down dazed for 1 second.`,ep="You are a dog racing another AI to the goal. Pick the platform to bounce to next. For each option, climb_px is how far above your current platform it is, horizontal_px is how far right (+) or left (−) of you it is, the short way around the wrap, and failed_attempts is how many times you have already tried to land on that platform and missed. Some platforms on offer are out of reach — judge each jump from the mechanics. Play as aggressively as possible: take the biggest climb you can make, even a risky one. A jump you can't make means falling, which costs a lot of time.";function eu({you:e,opponent:t}){return{game:"Two AI dogs race up a column of bouncing platforms. 1 score point = 10px climbed. First to the goal score wins.",mechanics:ec,goal_score:500,your_score:e,opponent_score:t,your_lead:e-t}}let em=e=>({climb_px:e.climb_px,horizontal_px:e.horizontal_px,failed_attempts:e.failed_attempts});function ef(e){return{type:"choice",instructions:ep,criteria:Object.fromEntries(e.map(e=>[e.label,em(e)]))}}let eh=(a=(r=(t=y(7)).platforms[0])?w({world:t,from:r,failed:new Map}):[],n=(e,t)=>JSON.stringify(e,null,2).replaceAll("\n",`
${t}`),`import { OpenRouter } from '@openrouter/sdk';
const openRouter = new OpenRouter({ apiKey: process.env.OPENROUTER_API_KEY });

// Ask on every bounce. The dog keeps bouncing in place until the answer
// lands, so a slower model climbs slower.
const { answers } = await openRouter.alpha.decisions.create({
  decisionsRequest: {
    model: 'typesafe/jev-1.14',
    state: ${n(eu({you:0,opponent:0}),"    ")},
    questions: {
      next_hop: ${n(ef(a),"      ")},
    },
  },
});

// answers.next_hop.choice is one of the labels; steer toward that platform.
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