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Choose a set of non-overlapping intervals maximizing total value. Intervals may touch when previous end <= next start. Return ONLY JSON exactly like {\"selected\":[\"A\",\"C\"]}, with interval IDs sorted by start time. No explanation.\\nIntervals: ${JSON.stringify(xs)}`;\n const t=Date.now();\n try{\n const schema={type:\"object\",additionalProperties:false,required:[\"selected\"],properties:{selected:{type:\"array\",items:{type:\"string\"}}}}; const r=await fetch(endpoint,{method:\"POST\",headers:{\"content-type\":\"application/json\"},body:JSON.stringify({model,messages:[{role:\"user\",content:prompt}],temperature:0,max_tokens:500,stream:false,reasoning:{effort:\"none\",exclude:true},response_format:{type:\"json_schema\",json_schema:{name:\"weighted_interval_solution\",strict:true,schema}}})});\n const raw=await r.text();\n const ms=Date.now()-t;\n if(!r.ok) return {model,status:r.status,ms,ok:false,verified:false,error:raw.slice(0,500)};\n let j:any; try{j=JSON.parse(raw);}catch{return {model,status:r.status,ms,ok:true,verified:false,error:\"NON_JSON_HTTP_BODY\",answer:raw.slice(0,500)}}\n const answer=String(j?.choices?.[0]?.message?.content??\"\");\n let verified=false; let error=\"\";\n try{verified=verify(xs,parseSelected(answer)); if(!verified) error=\"WRONG_SOLUTION\";}catch(e){error=String(e);}\n return {model,status:r.status,ms,ok:true,verified,answer,responseModel:j?.model,cost:j?.usage?.cost,error:error||undefined};\n }catch(e){return {model,status:0,ms:Date.now()-t,ok:false,verified:false,error:String(e)}}\n}\n\nconst startedAt=new Date().toISOString();\nconst all:any[]=[];\nfor(let i=0;icall(m,xs,i)));\n all.push({instance:i+1,optimum,calls});\n console.log(JSON.stringify({instance:i+1,optimum,calls:calls.map(c=>({model:c.model,status:c.status,ms:c.ms,verified:c.verified,responseModel:c.responseModel,cost:c.cost,error:c.error}))}));\n}\n\nconst modelStats=models.map(model=>{\n const cs=all.flatMap(r=>r.calls.filter((c:Call)=>c.model===model));\n const good=cs.filter((c:Call)=>c.verified);\n return {model,verified:good.length,total:cs.length,successRate:good.length/cs.length,medianVerifiedMs:good.length?[...good].sort((a:Call,b:Call)=>a.ms-b.ms)[Math.floor((good.length-1)/2)].ms:null};\n});\n\nconst portfolio=all.map(r=>{\n const good=(r.calls as Call[]).filter(c=>c.verified).sort((a,b)=>a.ms-b.ms);\n return {instance:r.instance,verified:good.length>0,firstMs:good[0]?.ms??null,winner:good[0]?.model??null};\n});\nconst primary=modelStats.slice().sort((a,b)=>(b.successRate-a.successRate)||((a.medianVerifiedMs??1e9)-(b.medianVerifiedMs??1e9)))[0]?.model;\nconst threshold=1200;\nconst staged=all.map(r=>{\n const cs=r.calls as Call[]; const p=cs.find(c=>c.model===primary)!; const backups=cs.filter(c=>c.model!==primary);\n if(p.verified && p.ms<=threshold) return {instance:r.instance,verified:true,estimatedMs:p.ms,estimatedCalls:1,reason:\"primary_before_threshold\"};\n const backupStart = (!p.verified && p.msc.verified).sort((a,b)=>a.ms-b.ms);\n const candidates:number[]=[];\n if(p.verified) candidates.push(p.ms);\n if(goodBackups.length) candidates.push(backupStart+goodBackups[0].ms);\n return {instance:r.instance,verified:candidates.length>0,estimatedMs:candidates.length?Math.min(...candidates):null,estimatedCalls:1+backups.length,reason:\"escalated\"};\n});\n\nconst result={schema:\"BRAIN_VERIFIED_YIELD_SPIKE_V2\",startedAt,finishedAt:new Date().toISOString(),models,instances:all,modelStats,portfolio,staged:{primary,thresholdMs:threshold,rows:staged},note:\"Non-authority disposable operational spike; synthetic public data only.\"};\nawait blob.setJSON(\"brain-yield-spike-260909/result-v2.json\",result);\nconsole.log(JSON.stringify({summary:{modelStats,portfolio,staged:result.staged},blobKey:\"brain-yield-spike-260909/result-v2.json\"}));\n","deleted",false,"label",[38],"7e06a86a-fde3-469a-8cb3-f701494e0b24","spike.ts","b78769fc-ac5b-11f1-a844-1607ee4eb77e",2,["D",1788964534616],0,"import { blob } from \"https://esm.town/v/std/blob/main.ts\";\n\nconst endpoint = \"https://api.kilo.ai/api/gateway/chat/completions\";\nconst models = [\n \"dots-studio/dots-3-note-preview:free\",\n \"nex-agi/nex-n2.5-pro:free\",\n \"nvidia/nemotron-3-ultra-550b-a55b:free\",\n \"poolside/laguna-s-2.1:free\",\n \"stepfun/step-3.7-flash:free\",\n];\n\ntype Iv={id:string,s:number,e:number,v:number};\ntype Call={model:string,status:number,ms:number,ok:boolean,verified:boolean,answer?:string,error?:string,responseModel?:string,cost?:unknown};\n\nconst instances: Iv[][] = [\n [\n {id:\"A\",s:0,e:3,v:8},{id:\"B\",s:1,e:4,v:9},{id:\"C\",s:3,e:5,v:7},{id:\"D\",s:4,e:7,v:12},\n {id:\"E\",s:5,e:8,v:11},{id:\"F\",s:7,e:9,v:6},{id:\"G\",s:8,e:11,v:10},{id:\"H\",s:9,e:12,v:9},\n {id:\"I\",s:11,e:13,v:8},{id:\"J\",s:12,e:15,v:13},{id:\"K\",s:13,e:16,v:12},{id:\"L\",s:15,e:18,v:14}\n ],\n [\n {id:\"A\",s:0,e:2,v:5},{id:\"B\",s:0,e:5,v:14},{id:\"C\",s:2,e:4,v:6},{id:\"D\",s:4,e:6,v:7},\n {id:\"E\",s:5,e:9,v:13},{id:\"F\",s:6,e:8,v:8},{id:\"G\",s:8,e:10,v:9},{id:\"H\",s:9,e:12,v:11},\n {id:\"I\",s:10,e:13,v:10},{id:\"J\",s:12,e:14,v:7},{id:\"K\",s:13,e:17,v:15},{id:\"L\",s:14,e:18,v:12}\n ],\n [\n {id:\"A\",s:0,e:4,v:11},{id:\"B\",s:1,e:3,v:7},{id:\"C\",s:3,e:6,v:10},{id:\"D\",s:4,e:8,v:13},\n {id:\"E\",s:6,e:9,v:8},{id:\"F\",s:8,e:10,v:7},{id:\"G\",s:9,e:13,v:14},{id:\"H\",s:10,e:12,v:9},\n {id:\"I\",s:12,e:15,v:10},{id:\"J\",s:13,e:16,v:12},{id:\"K\",s:15,e:17,v:8},{id:\"L\",s:16,e:19,v:11}\n ],\n [\n {id:\"A\",s:0,e:3,v:10},{id:\"B\",s:2,e:5,v:12},{id:\"C\",s:3,e:7,v:13},{id:\"D\",s:5,e:6,v:5},\n {id:\"E\",s:6,e:9,v:11},{id:\"F\",s:7,e:10,v:12},{id:\"G\",s:9,e:11,v:8},{id:\"H\",s:10,e:14,v:15},\n {id:\"I\",s:11,e:13,v:9},{id:\"J\",s:13,e:16,v:11},{id:\"K\",s:14,e:17,v:10},{id:\"L\",s:16,e:20,v:16}\n ],\n];\n\nfunction optimalValue(xs:Iv[]):number{\n const a=[...xs].sort((x,y)=>x.e-y.e||x.s-y.s);\n const p=a.map((x,i)=>{let j=i-1; while(j>=0&&a[j].e>x.s) j--; return j;});\n const dp=new Array(a.length+1).fill(0);\n for(let i=1;i<=a.length;i++) dp[i]=Math.max(dp[i-1],a[i-1].v+dp[p[i-1]+1]);\n return dp[a.length];\n}\nfunction parseSelected(text:string):string[]{\n const i=text.indexOf(\"{\"), j=text.lastIndexOf(\"}\");\n if(i<0||jtypeof z===\"string\")) throw new Error(\"BAD_SCHEMA\");\n return x.selected;\n}\nfunction verify(xs:Iv[], ids:string[]):boolean{\n if(new Set(ids).size!==ids.length) return false;\n const map=new Map(xs.map(x=>[x.id,x]));\n const sel=ids.map(id=>map.get(id)).filter(Boolean) as Iv[];\n if(sel.length!==ids.length) return false;\n sel.sort((a,b)=>a.s-b.s||a.e-b.e);\n for(let i=1;isel[i].s) return false;\n const v=sel.reduce((s,x)=>s+x.v,0);\n return v===optimalValue(xs);\n}\nasync function call(model:string,xs:Iv[],idx:number):Promise{\n const prompt = `Solve this weighted interval scheduling problem exactly. Choose a set of non-overlapping intervals maximizing total value. Intervals may touch when previous end <= next start. Return ONLY JSON exactly like {\"selected\":[\"A\",\"C\"]}, with interval IDs sorted by start time. No explanation.\\nIntervals: ${JSON.stringify(xs)}`;\n const t=Date.now();\n try{\n const r=await fetch(endpoint,{method:\"POST\",headers:{\"content-type\":\"application/json\"},body:JSON.stringify({model,messages:[{role:\"user\",content:prompt}],temperature:0,max_tokens:220})});\n const raw=await r.text();\n const ms=Date.now()-t;\n if(!r.ok) return {model,status:r.status,ms,ok:false,verified:false,error:raw.slice(0,500)};\n let j:any; try{j=JSON.parse(raw);}catch{return {model,status:r.status,ms,ok:true,verified:false,error:\"NON_JSON_HTTP_BODY\",answer:raw.slice(0,500)}}\n const answer=String(j?.choices?.[0]?.message?.content??\"\");\n let verified=false; let error=\"\";\n try{verified=verify(xs,parseSelected(answer)); if(!verified) error=\"WRONG_SOLUTION\";}catch(e){error=String(e);}\n return {model,status:r.status,ms,ok:true,verified,answer,responseModel:j?.model,cost:j?.usage?.cost,error:error||undefined};\n }catch(e){return {model,status:0,ms:Date.now()-t,ok:false,verified:false,error:String(e)}}\n}\n\nconst startedAt=new Date().toISOString();\nconst all:any[]=[];\nfor(let i=0;icall(m,xs,i)));\n all.push({instance:i+1,optimum,calls});\n console.log(JSON.stringify({instance:i+1,optimum,calls:calls.map(c=>({model:c.model,status:c.status,ms:c.ms,verified:c.verified,responseModel:c.responseModel,cost:c.cost,error:c.error}))}));\n}\n\nconst modelStats=models.map(model=>{\n const cs=all.flatMap(r=>r.calls.filter((c:Call)=>c.model===model));\n const good=cs.filter((c:Call)=>c.verified);\n return {model,verified:good.length,total:cs.length,successRate:good.length/cs.length,medianVerifiedMs:good.length?[...good].sort((a:Call,b:Call)=>a.ms-b.ms)[Math.floor((good.length-1)/2)].ms:null};\n});\n\nconst portfolio=all.map(r=>{\n const good=(r.calls as Call[]).filter(c=>c.verified).sort((a,b)=>a.ms-b.ms);\n return {instance:r.instance,verified:good.length>0,firstMs:good[0]?.ms??null,winner:good[0]?.model??null};\n});\nconst primary=modelStats.slice().sort((a,b)=>(b.successRate-a.successRate)||((a.medianVerifiedMs??1e9)-(b.medianVerifiedMs??1e9)))[0]?.model;\nconst threshold=1200;\nconst staged=all.map(r=>{\n const cs=r.calls as Call[]; const p=cs.find(c=>c.model===primary)!; const backups=cs.filter(c=>c.model!==primary);\n if(p.verified && p.ms<=threshold) return {instance:r.instance,verified:true,estimatedMs:p.ms,estimatedCalls:1,reason:\"primary_before_threshold\"};\n const backupStart = (!p.verified && p.msc.verified).sort((a,b)=>a.ms-b.ms);\n const candidates:number[]=[];\n if(p.verified) candidates.push(p.ms);\n if(goodBackups.length) candidates.push(backupStart+goodBackups[0].ms);\n return {instance:r.instance,verified:candidates.length>0,estimatedMs:candidates.length?Math.min(...candidates):null,estimatedCalls:1+backups.length,reason:\"escalated\"};\n});\n\nconst result={schema:\"BRAIN_VERIFIED_YIELD_SPIKE_V1\",startedAt,finishedAt:new Date().toISOString(),models,instances:all,modelStats,portfolio,staged:{primary,thresholdMs:threshold,rows:staged},note:\"Non-authority disposable operational spike; synthetic public data only.\"};\nawait blob.setJSON(\"brain-yield-spike-260909/result-v1.json\",result);\nconsole.log(JSON.stringify({summary:{modelStats,portfolio,staged:result.staged},blobKey:\"brain-yield-spike-260909/result-v1.json\"}));\n",[60],"3359178e-20b9-4f8e-93eb-6100f2b5d4fb","probe_fix.ts","f7250ad8-ac5b-11f1-bde9-1607ee4eb77e",["D",1788964641332],"const xs=[{id:\"A\",s:0,e:3,v:8},{id:\"B\",s:1,e:4,v:9},{id:\"C\",s:3,e:5,v:7},{id:\"D\",s:4,e:7,v:12},{id:\"E\",s:5,e:8,v:11},{id:\"F\",s:7,e:9,v:6},{id:\"G\",s:8,e:11,v:10},{id:\"H\",s:9,e:12,v:9},{id:\"I\",s:11,e:13,v:8},{id:\"J\",s:12,e:15,v:13},{id:\"K\",s:13,e:16,v:12},{id:\"L\",s:15,e:18,v:14}];\nconst schema={type:\"object\",additionalProperties:false,required:[\"selected\"],properties:{selected:{type:\"array\",items:{type:\"string\"}}}};\nconst prompt=`Solve this weighted interval scheduling problem exactly. Choose a set of non-overlapping intervals maximizing total value. Intervals may touch when previous end <= next start. Return selected interval IDs sorted by start time. Intervals: ${JSON.stringify(xs)}`;\nconst t=Date.now();\nconst r=await fetch(\"https://api.kilo.ai/api/gateway/chat/completions\",{method:\"POST\",headers:{\"content-type\":\"application/json\"},body:JSON.stringify({model:\"dots-studio/dots-3-note-preview:free\",messages:[{role:\"user\",content:prompt}],temperature:0,max_tokens:500,stream:false,reasoning:{effort:\"none\",exclude:true},response_format:{type:\"json_schema\",json_schema:{name:\"weighted_interval_solution\",strict:true,schema}}})});\nconst raw=await r.text(); let j:any=null; try{j=JSON.parse(raw)}catch{}\nconsole.log(JSON.stringify({status:r.status,ms:Date.now()-t,content:j?.choices?.[0]?.message?.content,finish:j?.choices?.[0]?.finish_reason,usage:j?.usage,error:j?.error,raw:raw.slice(0,1500)}));",[68],"8e7a0ea3-c1c7-4ab1-8a1c-1cd1754b8dc1","catalog.ts","898f029e-ac5b-11f1-b386-1607ee4eb77e",1,["D",1788964457492],"const urls=[\"https://api.kilo.ai/api/gateway/models\",\"https://api.kilo.ai/api/models\"];\nfor (const url 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