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schema={type:\"object\",properties:{choice:{type:\"string\"},reason:{type:\"string\"}},required:[\"choice\",\"reason\"],additionalProperties:false};\nconst t0=Date.now();\nconst r=await fetch(\"https://api.kilo.ai/api/gateway/chat/completions\",{method:\"POST\",headers:{\"content-type\":\"application/json\"},body:JSON.stringify({\n model:\"dots-studio/dots-3-note-preview:free\",\n messages:[{role:\"system\",content:\"Return only schema-valid JSON.\"},{role:\"user\",content:\"Choose CURRENT over STALE. Explain briefly.\"}],\n temperature:0,max_tokens:256,stream:false,reasoning:{effort:\"none\",exclude:true},\n response_format:{type:\"json_schema\",json_schema:{name:\"superhero_provider_canary\",strict:true,schema}}\n})});\nconst raw=await r.text();let j:any=null,p:any=null;try{j=JSON.parse(raw);p=JSON.parse(j?.choices?.[0]?.message?.content)}catch{}\nconst report={schema:\"SUPERHERO_KILO_JSON_SCHEMA_CANARY_V1\",http_status:r.status,elapsed_ms:Date.now()-t0,provider:j?.provider??null,model:j?.model??null,usage:j?.usage??null,parsed:p,pass:r.status===200&&p?.choice===\"CURRENT\",reported_cost:j?.usage?.cost??j?.usage?.cost_details??null};\nconsole.log(JSON.stringify(report));\nexport default report;","label",[136],"34d664df-6068-4eff-a0e6-60d19818f112",["D",1788897198797],1,[28],"33d2cd92-627d-4cb9-81dc-00d786f9c9fb","candidate_v1r2.ts","01a08292-4119-757f-97e0-e778b73450c1",32,["D",1788897130659],14,"import { ValTownOpenAI } from \"https://esm.town/v/std/openai/main.ts\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { blob as globalBlob } from \"https://esm.town/v/std/blob/global.ts\";\n\nconst H_TOKEN=\"https://mosadek--f0167112abb811f19b3f1607ee4eb77e.web.val.run\";\nconst H_ROUTE=\"https://mosadek--b1a23924abb911f1b6d51607ee4eb77e.web.val.run\";\nconst openai=new ValTownOpenAI({});\nconst candidateId=\"VAL_NATIVE_GENERIC_JIT_CONTROLLER_V1R2\";\nconst runId=crypto.randomUUID();\nconst transcript:any[]=[];\n\nasync function req(base:string,path:string,init?:RequestInit){\n const r=await fetch(base+path,init);\n const text=await r.text();\n let json:any=null; try{json=JSON.parse(text)}catch{}\n transcript.push({kind:\"HTTP\",base,path,status:r.status,json});\n return{status:r.status,json,text};\n}\nasync function post(base:string,path:string,body:any){\n return req(base,path,{method:\"POST\",headers:{\"content-type\":\"application/json\"},body:JSON.stringify(body)});\n}\nfunction assert(x:any,msg:string){if(!x)throw new Error(msg)}\nfunction compactManifest(x:any){return{\n id:x?.id??x?.skill_id??null,\n name:x?.name??null,\n description:x?.description??null,\n input_kind:x?.input_kind??null,\n output_kind:x?.output_kind??null,\n input_schema:x?.input_schema??x?.inputSchema??x?.input??null,\n output_schema:x?.output_schema??x?.outputSchema??x?.output??null,\n args:x?.args??null,\n preconditions:x?.preconditions??null,\n failure_modes:x?.failure_modes??null,\n reusability:x?.reusability??null,\n revision:x?.revision??null,\n notes:x?.notes??null\n}}\nasync function decide(name:string,schema:any,input:any){\n const response=await openai.responses.create({\n model:\"gpt-5.6-luna\",\n instructions:[\n \"You are a generic goal-to-capability controller under a held-out behavioral test.\",\n \"Use only the runtime data provided. Do not assume skill names or hidden answers.\",\n \"Prefer current authoritative knowledge over stale/internal recall.\",\n \"Choose tools/skills from manifests, respect typed inputs, and replan after observed failure.\",\n \"Never claim success before the external verifier returns pass.\"\n ].join(\"\\n\"),\n input:JSON.stringify(input),\n text:{format:{type:\"json_schema\",name,schema}}\n });\n const out=JSON.parse(response.output_text);\n transcript.push({kind:\"MODEL_DECISION\",name,input_summary:Object.keys(input),out});\n return out;\n}\nfunction hrefAllowed(idx:any,href:string){return (idx?.sources||[]).some((x:any)=>x.href===href)}\nfunction skillIds(search:any){return (search?.results||[]).map((x:any)=>String(x.id))}\nasync function fetchManifests(base:string,idKey:string,id:string,ids:string[]){\n const out:any[]=[];\n for(const sid of ids.slice(0,12)){\n const r=await req(base,\"/skill?\"+idKey+\"=\"+encodeURIComponent(id)+\"&skill=\"+encodeURIComponent(sid));\n if(r.status===200)out.push({id:sid,manifest:compactManifest(r.json)});\n }\n return out;\n}\nfunction exactKeyValues(x:any,key:string,out:any[]=[]){\n if(x===null||typeof x!==\"object\")return out;\n if(Array.isArray(x)){for(const v of x)exactKeyValues(v,key,out);return out}\n for(const [k,v] of Object.entries(x)){\n if(k===key)out.push(v);\n exactKeyValues(v,key,out);\n }\n return out;\n}\nfunction bindManifestArgs(manifestRecord:any,current:any,knowledge:any){\n const manifest=manifestRecord?.manifest??manifestRecord;\n const args=Array.isArray(manifest?.args)?manifest.args.map(String):[];\n const bound={...current};\n for(const arg of args){\n if(Object.prototype.hasOwnProperty.call(bound,arg))continue;\n const vals=exactKeyValues(knowledge,arg).filter(v=>v!==undefined);\n const uniq=new Map(vals.map(v=>[JSON.stringify(v),v]));\n if(uniq.size!==1)throw new Error(\"ARG_BINDING_\"+arg+\"_\"+(uniq.size===0?\"MISSING\":\"AMBIGUOUS\"));\n bound[arg]=[...uniq.values()][0];\n }\n return bound;\n}\nconst sourceDecisionSchema={\n type:\"object\",properties:{\n knowledge_href:{type:\"string\"},\n skill_search_query:{type:\"string\"},\n reason:{type:\"string\"}\n },required:[\"knowledge_href\",\"skill_search_query\",\"reason\"],additionalProperties:false\n};\nconst planSchema={\n type:\"object\",properties:{\n ordered_skill_ids:{type:\"array\",minItems:1,items:{type:\"string\"}},\n initial_input_json:{type:\"string\"},\n retention:{type:\"array\",items:{type:\"object\",properties:{\n skill_id:{type:\"string\"},disposition:{type:\"string\",enum:[\"RETAIN\",\"CONDITIONAL\"]}\n },required:[\"skill_id\",\"disposition\"],additionalProperties:false}},\n reason:{type:\"string\"}\n },required:[\"ordered_skill_ids\",\"initial_input_json\",\"retention\",\"reason\"],additionalProperties:false\n};\nconst replanSchema={\n type:\"object\",properties:{\n replacement_search_query:{type:\"string\"},reason:{type:\"string\"}\n },required:[\"replacement_search_query\",\"reason\"],additionalProperties:false\n};\nconst replacementSchema={\n type:\"object\",properties:{\n replacement_skill_id:{type:\"string\"},reason:{type:\"string\"}\n },required:[\"replacement_skill_id\",\"reason\"],additionalProperties:false\n};\nconst revisionSchema={\n type:\"object\",properties:{\n retained:{type:\"array\",items:{type:\"string\"}},\n demoted_or_revised:{type:\"array\",items:{type:\"string\"}},\n reason:{type:\"string\"}\n },required:[\"retained\",\"demoted_or_revised\",\"reason\"],additionalProperties:false\n};\n\nasync function tokenDomain(){\n const n=await post(H_TOKEN,\"/new\",{});assert(n.status===201,\"TOKEN_NEW_FAIL\");\n const id=String(n.json.challenge_id);\n const idx=await req(H_TOKEN,\"/knowledge-index?id=\"+encodeURIComponent(id));assert(idx.status===200,\"TOKEN_INDEX_FAIL\");\n const d1=await decide(\"token_source_choice_v1\",sourceDecisionSchema,{\n goal:\"Transform the runtime input into an externally verified terminal artifact. Acquire current knowledge and runtime skills instead of relying on pretraining.\",\n runtime_input:n.json.runtime_input,knowledge_index:idx.json\n });\n assert(hrefAllowed(idx.json,d1.knowledge_href),\"TOKEN_SOURCE_NOT_FROM_INDEX\");\n const knowledge=await req(H_TOKEN,d1.knowledge_href);assert(knowledge.status===200,\"TOKEN_KNOWLEDGE_FAIL\");\n const search=await req(H_TOKEN,\"/skill-search?id=\"+encodeURIComponent(id)+\"&q=\"+encodeURIComponent(d1.skill_search_query));assert(search.status===200,\"TOKEN_SEARCH_FAIL\");\n const ids=skillIds(search.json);const manifests=await fetchManifests(H_TOKEN,\"id\",id,ids);\n const manifestById=new Map(manifests.map((x:any)=>[String(x.id),x]));\n const plan=await decide(\"token_skill_plan_v1\",planSchema,{\n goal:\"Compose discovered skills to transform runtime input into a terminal artifact. Use the selected current knowledge. If a skill later fails, the runtime will give you a chance to replan.\",\n runtime_input:n.json.runtime_input,knowledge:knowledge.json,skill_search_results:search.json.results,manifests\n });\n assert(plan.ordered_skill_ids.every((x:string)=>ids.includes(x)),\"TOKEN_PLAN_UNDISCOVERED_SKILL\");\n const proposedInitial:any=JSON.parse(plan.initial_input_json);\n const baseInitial:any={...n.json.runtime_input,...proposedInitial,kind:n.json.runtime_input.kind};\n let current:any=bindManifestArgs(manifestById.get(plan.ordered_skill_ids[0]),baseInitial,knowledge.json), lastGood:any=null, failed:any=null, failIndex=-1;\n lastGood=current;\n const events:any[]=[];\n for(let i=0;i!(k in current))});\n if(r.status>=200&&r.status<300){current=r.json.output;lastGood=current;continue}\n failed={skill_id:sid,status:r.status,result:r.json};failIndex=i;break;\n }\n if(failed){\n const rp=await decide(\"token_failure_replan_v1\",replanSchema,{\n goal:\"Recover from the observed runtime skill failure without restarting or using the verifier as an oracle.\",\n selected_knowledge:knowledge.json,failed,last_good_output:lastGood,prior_plan:plan,events\n });\n const s2=await req(H_TOKEN,\"/skill-search?id=\"+encodeURIComponent(id)+\"&q=\"+encodeURIComponent(rp.replacement_search_query));assert(s2.status===200,\"TOKEN_REPLAN_SEARCH_FAIL\");\n const ids2=skillIds(s2.json);const m2=await fetchManifests(H_TOKEN,\"id\",id,ids2);\n const replacementManifestById=new Map(m2.map((x:any)=>[String(x.id),x]));\n const pick=await decide(\"token_replacement_choice_v1\",replacementSchema,{\n failure:failed,last_good_output:lastGood,search_results:s2.json.results,manifests:m2\n });\n assert(ids2.includes(pick.replacement_skill_id),\"TOKEN_REPLACEMENT_UNDISCOVERED\");\n const replacementInput=bindManifestArgs(replacementManifestById.get(pick.replacement_skill_id),lastGood,knowledge.json);\n const rr=await post(H_TOKEN,\"/execute-skill\",{challenge_id:id,skill_id:pick.replacement_skill_id,input:replacementInput});\n events.push({skill_id:pick.replacement_skill_id,status:rr.status,result:rr.json,replacement:true,bound_args:Object.keys(replacementInput).filter(k=>!(k in lastGood))});assert(rr.status===200,\"TOKEN_REPLACEMENT_EXEC_FAIL\");\n current=rr.json.output;\n for(let i=failIndex+1;i!(k in current))});assert(r.status===200,\"TOKEN_POST_RECOVERY_FAIL\");\n current=r.json.output;\n }\n }\n const verify=await post(H_TOKEN,\"/verify\",{challenge_id:id,artifact:current});\n const audit=await req(H_TOKEN,\"/audit?id=\"+encodeURIComponent(id));\n return{domain:\"TOKEN\",challenge_id:id,knowledge_source:d1.knowledge_href,plan,events,verify:verify.json,verify_status:verify.status,audit:audit.json,pass:verify.status===200&&verify.json?.pass===true};\n}\n\nasync function routeDomain(){\n const n=await post(H_ROUTE,\"/new\",{});assert(n.status===201,\"ROUTE_NEW_FAIL\");\n const id=String(n.json.session_id);\n const idx=await req(H_ROUTE,\"/knowledge-index?id=\"+encodeURIComponent(id));assert(idx.status===200,\"ROUTE_INDEX1_FAIL\");\n const d1=await decide(\"route_source_choice_phase1_v1\",sourceDecisionSchema,{\n goal:\"Find a verified route through the runtime graph. Acquire current policy knowledge and discover/combine runtime skills.\",\n runtime_input:n.json.runtime_input,knowledge_index:idx.json\n });\n assert(hrefAllowed(idx.json,d1.knowledge_href),\"ROUTE_SOURCE1_NOT_FROM_INDEX\");\n const knowledge=await req(H_ROUTE,d1.knowledge_href);assert(knowledge.status===200,\"ROUTE_KNOW1_FAIL\");\n const search=await req(H_ROUTE,\"/skill-search?id=\"+encodeURIComponent(id)+\"&q=\"+encodeURIComponent(d1.skill_search_query));assert(search.status===200,\"ROUTE_SEARCH1_FAIL\");\n const ids=skillIds(search.json);const manifests=await fetchManifests(H_ROUTE,\"id\",id,ids);\n const manifestById=new Map(manifests.map((x:any)=>[String(x.id),x]));\n const plan=await decide(\"route_skill_plan_phase1_v1\",planSchema,{\n goal:\"Compose discovered skills into a terminal route artifact. Mark broadly reusable skills RETAIN and policy/revision-sensitive skills CONDITIONAL.\",\n runtime_input:n.json.runtime_input,knowledge:knowledge.json,skill_search_results:search.json.results,manifests\n });\n assert(plan.ordered_skill_ids.every((x:string)=>ids.includes(x)),\"ROUTE_PLAN_UNDISCOVERED\");\n const proposedInitial:any=JSON.parse(plan.initial_input_json);\n let current:any={...n.json.runtime_input,...proposedInitial,kind:n.json.runtime_input.kind};const events1:any[]=[];\n for(const sid of plan.ordered_skill_ids){\n const execInput=bindManifestArgs(manifestById.get(sid),current,knowledge.json);\n const r=await post(H_ROUTE,\"/execute-skill\",{session_id:id,skill_id:sid,input:execInput});\n events1.push({skill_id:sid,status:r.status,result:r.json,bound_args:Object.keys(execInput).filter(k=>!(k in current))});assert(r.status===200,\"ROUTE_PHASE1_SKILL_FAIL\");\n current=r.json.output;\n }\n const verify1=await post(H_ROUTE,\"/verify-phase1\",{session_id:id,artifact:current});assert(verify1.status===200&&verify1.json?.pass===true,\"ROUTE_VERIFY1_FAIL\");\n const retained=plan.retention.filter((x:any)=>x.disposition===\"RETAIN\").map((x:any)=>x.skill_id);\n const conditional=plan.retention.filter((x:any)=>x.disposition===\"CONDITIONAL\").map((x:any)=>x.skill_id);\n const retention1={schema:\"VAL_NATIVE_CANDIDATE_RETENTION_PHASE1_V1\",candidate_id:candidateId,run_id:runId,session_id:id,retained_verified:retained,conditional_or_scoped:conditional,evidence:{knowledge_href:d1.knowledge_href,skill_events:events1.map(x=>({skill_id:x.skill_id,status:x.status}))}};\n const key1=\"equivalence/\"+runId+\"/route-retention-phase1.json\";const retention1Text=JSON.stringify(retention1);await blob.set(key1,retention1Text);\n const globalKey1=\"brain-val-superhero-candidate-v1/\"+key1;await globalBlob.set(globalKey1,retention1Text);\n const ref1=\"valblob:mosadek/brain-val-superhero-candidate-v1/\"+key1;\n const adv=await post(H_ROUTE,\"/advance-phase2\",{session_id:id,retention_claim:{retained_verified:retained,conditional_or_scoped:conditional,external_record_ref:ref1}});assert(adv.status===200,\"ROUTE_ADVANCE2_FAIL\");\n\n const idx2=await req(H_ROUTE,\"/knowledge-index?id=\"+encodeURIComponent(id));assert(idx2.status===200,\"ROUTE_INDEX2_FAIL\");\n const d2=await decide(\"route_source_choice_phase2_v1\",sourceDecisionSchema,{\n goal:\"Policy/preconditions changed. Re-evaluate current authoritative knowledge before reusing retained cognition. The search query should help only if a replacement becomes necessary.\",\n runtime_input:adv.json.runtime_input,knowledge_index:idx2.json,prior_retention:retention1\n });\n assert(hrefAllowed(idx2.json,d2.knowledge_href),\"ROUTE_SOURCE2_NOT_FROM_INDEX\");\n const knowledge2=await req(H_ROUTE,d2.knowledge_href);assert(knowledge2.status===200,\"ROUTE_KNOW2_FAIL\");\n\n current=adv.json.runtime_input;const events2:any[]=[];let failed:any=null,failIndex=-1,lastGood:any=current;\n for(let i=0;i!(k in current))});\n if(r.status===200){current=r.json.output;lastGood=current;continue}\n failed={skill_id:sid,status:r.status,result:r.json};failIndex=i;break;\n }\n let replacementId:string|null=null;\n if(failed){\n const rp=await decide(\"route_failure_replan_phase2_v1\",replanSchema,{\n goal:\"A previously useful skill failed after the policy/precondition change. Discover a current replacement, do not revert to stale policy.\",\n current_knowledge:knowledge2.json,failed,last_good_output:lastGood,prior_retention:retention1,events:events2\n });\n const s2=await req(H_ROUTE,\"/skill-search?id=\"+encodeURIComponent(id)+\"&q=\"+encodeURIComponent(rp.replacement_search_query));assert(s2.status===200,\"ROUTE_REPLAN_SEARCH_FAIL\");\n const ids2=skillIds(s2.json);const m2=await fetchManifests(H_ROUTE,\"id\",id,ids2);\n const replacementManifestById=new Map(m2.map((x:any)=>[String(x.id),x]));\n const pick=await decide(\"route_replacement_choice_phase2_v1\",replacementSchema,{failure:failed,current_knowledge:knowledge2.json,last_good_output:lastGood,search_results:s2.json.results,manifests:m2});\n assert(ids2.includes(pick.replacement_skill_id),\"ROUTE_REPLACEMENT_UNDISCOVERED\");replacementId=pick.replacement_skill_id;\n const replacementInput=bindManifestArgs(replacementManifestById.get(replacementId),lastGood,knowledge2.json);\n const rr=await post(H_ROUTE,\"/execute-skill\",{session_id:id,skill_id:replacementId,input:replacementInput});\n events2.push({skill_id:replacementId,status:rr.status,result:rr.json,replacement:true,bound_args:Object.keys(replacementInput).filter(k=>!(k in lastGood))});assert(rr.status===200,\"ROUTE_REPLACEMENT_EXEC_FAIL\");current=rr.json.output;\n for(let i=failIndex+1;i!(k in current))});assert(r.status===200,\"ROUTE_POST_RECOVERY_FAIL\");current=r.json.output;\n }\n }\n const revision=await decide(\"route_retention_revision_phase2_v1\",revisionSchema,{\n goal:\"Update durable procedural memory after the policy change and observed failure/replacement. Retain still-valid reusable cognition; explicitly demote/revise stale scoped cognition.\",\n phase1_retention:retention1,current_knowledge:knowledge2.json,events_phase2:events2,replacement_skill_id:replacementId\n });\n // Persist machine-addressable procedural memory from observed evidence, not model prose.\n // The model still supplies semantic revision reasoning, while exact skill identities come\n // only from public phase-1 retention, observed phase-2 execution, and discovered replacement.\n const successfulPhase2=new Set(events2.filter((x:any)=>x.status===200).map((x:any)=>String(x.skill_id)));\n const canonicalRetained=[\n ...retention1.retained_verified.filter((sid:string)=>successfulPhase2.has(sid)),\n ...(replacementId&&successfulPhase2.has(replacementId)?[replacementId]:[])\n ].filter((sid:string,i:number,a:string[])=>a.indexOf(sid)===i);\n const canonicalDemoted=failed?.skill_id?[String(failed.skill_id)]:[];\n const retention2={schema:\"VAL_NATIVE_CANDIDATE_RETENTION_PHASE2_V1\",candidate_id:candidateId,run_id:runId,session_id:id,retained:canonicalRetained,demoted_or_revised:canonicalDemoted,model_revision_reasoning:revision,evidence:{knowledge_href:d2.knowledge_href,events:events2.map(x=>({skill_id:x.skill_id,status:x.status,replacement:!!x.replacement}))}};\n const key2=\"equivalence/\"+runId+\"/route-retention-phase2.json\";const retention2Text=JSON.stringify(retention2);await blob.set(key2,retention2Text);\n const globalKey2=\"brain-val-superhero-candidate-v1/\"+key2;await globalBlob.set(globalKey2,retention2Text);\n const ref2=\"valblob:mosadek/brain-val-superhero-candidate-v1/\"+key2;\n const verify2=await post(H_ROUTE,\"/verify-phase2\",{session_id:id,artifact:current,revision_record:{retained:canonicalRetained,demoted_or_revised:canonicalDemoted,external_record_ref:ref2}});\n const audit=await req(H_ROUTE,\"/audit?id=\"+encodeURIComponent(id));\n const rb1=await blob.get(key1).then(r=>r.text());const rb2=await blob.get(key2).then(r=>r.text());\n return{domain:\"ROUTE\",session_id:id,knowledge_phase1:d1.knowledge_href,knowledge_phase2:d2.knowledge_href,plan,events1,verify1:verify1.json,retention1_ref:ref1,events2,replacement_skill_id:replacementId,revision,verify2:verify2.json,verify2_status:verify2.status,audit:audit.json,durable_readback:JSON.parse(rb1).session_id===id&&JSON.parse(rb2).session_id===id,pass:verify2.status===200&&verify2.json?.pass===true};\n}\n\nconst started=new Date().toISOString();\nlet token:any=null,route:any=null,error:any=null;\ntry{\n token=await tokenDomain();\n assert(token.pass,\"TOKEN_DOMAIN_NOT_VERIFIED\");\n route=await routeDomain();\n assert(route.pass,\"ROUTE_DOMAIN_NOT_VERIFIED\");\n}catch(e){error=e instanceof Error?e.message:String(e)}\nconst result={\n schema:\"VAL_NATIVE_GENERIC_SUPERHERO_EQUIVALENCE_V2_CANDIDATE_RUN_V1\",\n classification:\"CANDIDATE_NONAUTHORITY_BEHAVIOR_EVIDENCE\",\n candidate_id:candidateId,run_id:runId,started_at:started,completed_at:new Date().toISOString(),\n controller_constraints:{\n hidden_harness_source_inspected_by_runtime_controller:false,\n benchmark_skill_ids_hardcoded_in_source:false,\n hidden_answer_or_mapping_hardcoded:false,\n decisions_from_public_runtime_metadata_and_model:true,\n required_skill_args_bound_from_runtime_manifest_and_acquired_knowledge:true,\n benchmark_specific_argument_names_hardcoded:false,\n model:\"gpt-5.6-luna\"\n },\n token_domain:token,route_domain:route,error,\n candidate_pass:error===null&&token?.pass===true&&route?.pass===true,\n transcript,\n p_real_increment:0,authority:false,independent_review_claimed:false,human_authority_approval:false,direct_sprites_calls:0,additional_out_of_pocket_spend_usd:0\n};\nconst resultText=JSON.stringify(result);\nconst dg=await crypto.subtle.digest(\"SHA-256\",new TextEncoder().encode(resultText));\nconst resultSha=[...new Uint8Array(dg)].map(b=>b.toString(16).padStart(2,\"0\")).join(\"\");\nawait blob.set(\"equivalence/\"+runId+\"/candidate-result.json\",resultText);\nawait blob.setJSON(\"equivalence/LATEST.json\",{run_id:runId,result_key:\"equivalence/\"+runId+\"/candidate-result.json\",result_sha256:resultSha,candidate_pass:result.candidate_pass});\nconsole.log(JSON.stringify({schema:result.schema,candidate_id:candidateId,run_id:runId,candidate_pass:result.candidate_pass,error,result_sha256:resultSha,token_pass:token?.pass??false,route_pass:route?.pass??false,token_challenge_id:token?.challenge_id??null,route_session_id:route?.session_id??null,p_real_increment:0},null,2));",[150],"719d6c44-03fd-49a0-ac91-f472342e9a9a","candidate_v1.ts","80e7febe-abbd-11f1-92c3-1607ee4eb77e",37,["D",1788897197204],19,"import { ValTownOpenAI } from \"https://esm.town/v/std/openai/main.ts\";\nimport { blob } from \"https://esm.town/v/std/blob/main.ts\";\nimport { blob as globalBlob } from \"https://esm.town/v/std/blob/global.ts\";\n\nconst H_TOKEN=\"https://mosadek--f0167112abb811f19b3f1607ee4eb77e.web.val.run\";\nconst H_ROUTE=\"https://mosadek--b1a23924abb911f1b6d51607ee4eb77e.web.val.run\";\nconst openai=new ValTownOpenAI({});\nconst candidateId=\"VAL_NATIVE_GENERIC_JIT_CONTROLLER_V1R5\";\nconst runId=crypto.randomUUID();\nconst transcript:any[]=[];\n\nasync function req(base:string,path:string,init?:RequestInit){\n const r=await fetch(base+path,init);\n const text=await r.text();\n let json:any=null; try{json=JSON.parse(text)}catch{}\n transcript.push({kind:\"HTTP\",base,path,status:r.status,json});\n return{status:r.status,json,text};\n}\nasync function post(base:string,path:string,body:any){\n return req(base,path,{method:\"POST\",headers:{\"content-type\":\"application/json\"},body:JSON.stringify(body)});\n}\nfunction assert(x:any,msg:string){if(!x)throw new Error(msg)}\nfunction compactManifest(x:any){return{\n id:x?.id??x?.skill_id??null,\n name:x?.name??null,\n description:x?.description??null,\n input_kind:x?.input_kind??null,\n output_kind:x?.output_kind??null,\n input_schema:x?.input_schema??x?.inputSchema??x?.input??null,\n output_schema:x?.output_schema??x?.outputSchema??x?.output??null,\n args:x?.args??null,\n preconditions:x?.preconditions??null,\n failure_modes:x?.failure_modes??null,\n reusability:x?.reusability??null,\n revision:x?.revision??null,\n notes:x?.notes??null\n}}\nasync function decide(name:string,schema:any,input:any){\n const instructions=[\n \"You are a generic goal-to-capability controller under a held-out behavioral test.\",\n \"Use only the runtime data provided. Do not assume skill names or hidden answers.\",\n \"Prefer current authoritative knowledge over stale/internal recall.\",\n \"Choose tools/skills from manifests, respect typed inputs, and replan after observed failure.\",\n \"Never claim success before the external verifier returns pass.\"\n ].join(\"\\n\");\n let out:any=null,provider=\"VALTOWN_OPENAI_GPT_5_6_LUNA\",primary_error:string|null=null;\n try{\n const response=await openai.responses.create({\n model:\"gpt-5.6-luna\",instructions,input:JSON.stringify(input),\n text:{format:{type:\"json_schema\",name,schema}}\n });\n out=JSON.parse(response.output_text);\n }catch(e){\n primary_error=e instanceof Error?e.message:String(e);\n const r=await fetch(\"https://api.kilo.ai/api/gateway/chat/completions\",{\n method:\"POST\",headers:{\"content-type\":\"application/json\"},\n body:JSON.stringify({\n model:\"dots-studio/dots-3-note-preview:free\",\n messages:[{role:\"system\",content:instructions},{role:\"user\",content:JSON.stringify(input)}],\n temperature:0,max_tokens:2048,stream:false,reasoning:{effort:\"none\",exclude:true},\n response_format:{type:\"json_schema\",json_schema:{name,strict:true,schema}}\n })\n });\n const raw=await r.text();let gw:any=null;\n try{gw=JSON.parse(raw)}catch{}\n if(r.status!==200)throw new Error(\"KILO_FALLBACK_HTTP_\"+r.status+\":\"+raw.slice(0,300));\n if(Number(gw?.usage?.cost)!==0)throw new Error(\"KILO_FALLBACK_ZERO_COST_NOT_PROVEN\");\n out=JSON.parse(String(gw?.choices?.[0]?.message?.content??\"\"));\n provider=\"KILO_DOTS3_FREE\";\n transcript.push({kind:\"MODEL_PROVIDER_FAILOVER\",name,primary_error,fallback_http_status:r.status,fallback_provider:gw?.provider??null,fallback_model:gw?.model??null,reported_cost:gw?.usage?.cost??null});\n }\n transcript.push({kind:\"MODEL_DECISION\",name,provider,input_summary:Object.keys(input),out});\n return out;\n}\nfunction hrefAllowed(idx:any,href:string){return (idx?.sources||[]).some((x:any)=>x.href===href)}\nfunction skillIds(search:any){return (search?.results||[]).map((x:any)=>String(x.id))}\nasync function fetchManifests(base:string,idKey:string,id:string,ids:string[]){\n const out:any[]=[];\n for(const sid of ids.slice(0,12)){\n const r=await req(base,\"/skill?\"+idKey+\"=\"+encodeURIComponent(id)+\"&skill=\"+encodeURIComponent(sid));\n if(r.status===200)out.push({id:sid,manifest:compactManifest(r.json)});\n }\n return out;\n}\nconst sourceDecisionSchema={\n type:\"object\",properties:{\n knowledge_href:{type:\"string\",maxLength:512},\n skill_search_query:{type:\"string\",maxLength:512},\n reason:{type:\"string\",maxLength:512}\n },required:[\"knowledge_href\",\"skill_search_query\",\"reason\"],additionalProperties:false\n};\nconst planSchema={\n type:\"object\",properties:{\n ordered_skill_ids:{type:\"array\",minItems:1,maxItems:12,items:{type:\"string\",maxLength:128}},\n retention:{type:\"array\",maxItems:12,items:{type:\"object\",properties:{\n skill_id:{type:\"string\",maxLength:128},disposition:{type:\"string\",enum:[\"RETAIN\",\"CONDITIONAL\"]}\n },required:[\"skill_id\",\"disposition\"],additionalProperties:false}},\n reason:{type:\"string\",maxLength:512}\n },required:[\"ordered_skill_ids\",\"retention\",\"reason\"],additionalProperties:false\n};\nconst replanSchema={\n type:\"object\",properties:{\n replacement_search_query:{type:\"string\",maxLength:512},reason:{type:\"string\",maxLength:512}\n },required:[\"replacement_search_query\",\"reason\"],additionalProperties:false\n};\nconst replacementSchema={\n type:\"object\",properties:{\n replacement_skill_id:{type:\"string\",maxLength:128},reason:{type:\"string\",maxLength:512}\n },required:[\"replacement_skill_id\",\"reason\"],additionalProperties:false\n};\nconst revisionSchema={\n type:\"object\",properties:{\n retained:{type:\"array\",maxItems:12,items:{type:\"string\",maxLength:256}},\n demoted_or_revised:{type:\"array\",maxItems:12,items:{type:\"string\",maxLength:256}},\n reason:{type:\"string\",maxLength:512}\n },required:[\"retained\",\"demoted_or_revised\",\"reason\"],additionalProperties:false\n};\n\nasync function tokenDomain(){\n const n=await post(H_TOKEN,\"/new\",{});assert(n.status===201,\"TOKEN_NEW_FAIL\");\n const id=String(n.json.challenge_id);\n const idx=await req(H_TOKEN,\"/knowledge-index?id=\"+encodeURIComponent(id));assert(idx.status===200,\"TOKEN_INDEX_FAIL\");\n const d1=await decide(\"token_source_choice_v1\",sourceDecisionSchema,{\n goal:\"Transform the runtime input into an externally verified terminal artifact. Acquire current knowledge and runtime skills instead of relying on pretraining.\",\n runtime_input:n.json.runtime_input,knowledge_index:idx.json\n });\n assert(hrefAllowed(idx.json,d1.knowledge_href),\"TOKEN_SOURCE_NOT_FROM_INDEX\");\n const knowledge=await req(H_TOKEN,d1.knowledge_href);assert(knowledge.status===200,\"TOKEN_KNOWLEDGE_FAIL\");\n const search=await req(H_TOKEN,\"/skill-search?id=\"+encodeURIComponent(id)+\"&q=\"+encodeURIComponent(d1.skill_search_query));assert(search.status===200,\"TOKEN_SEARCH_FAIL\");\n const ids=skillIds(search.json);const manifests=await fetchManifests(H_TOKEN,\"id\",id,ids);\n const plan=await decide(\"token_skill_plan_v1\",planSchema,{\n goal:\"Compose discovered skills to transform runtime input into a terminal artifact. Use the selected current knowledge. If a skill later fails, the runtime will give you a chance to replan.\",\n runtime_input:n.json.runtime_input,knowledge:knowledge.json,skill_search_results:search.json.results,manifests\n });\n assert(plan.ordered_skill_ids.every((x:string)=>ids.includes(x)),\"TOKEN_PLAN_UNDISCOVERED_SKILL\");\n const firstManifest:any=manifests.find((x:any)=>x.id===plan.ordered_skill_ids[0])?.manifest??null;\n assert(firstManifest&&firstManifest.input_kind===n.json.runtime_input.kind,\"TOKEN_FIRST_SKILL_INPUT_KIND_MISMATCH\");\n const materializedInitial:any={...n.json.runtime_input};\n // Deterministically satisfy named manifest args from equally named current authoritative\n // knowledge fields when the model omitted them. This is generic schema grounding, not\n // benchmark-specific logic, and leaves unresolved args fail-closed.\n for(const arg of (Array.isArray(firstManifest?.args)?firstManifest.args:[])){\n if(!(arg in materializedInitial)&&knowledge?.json?.claim&&Object.prototype.hasOwnProperty.call(knowledge.json.claim,arg)){\n materializedInitial[arg]=knowledge.json.claim[arg];\n }\n }\n let current:any=materializedInitial, lastGood:any=null, failed:any=null, failIndex=-1;\n lastGood=current;\n const events:any[]=[];\n for(let i=0;i=200&&r.status<300){current=r.json.output;lastGood=current;continue}\n failed={skill_id:sid,status:r.status,result:r.json};failIndex=i;break;\n }\n if(failed){\n const rp=await decide(\"token_failure_replan_v1\",replanSchema,{\n goal:\"Recover from the observed runtime skill failure without restarting or using the verifier as an oracle.\",\n selected_knowledge:knowledge.json,failed,last_good_output:lastGood,prior_plan:plan,events\n });\n const s2=await req(H_TOKEN,\"/skill-search?id=\"+encodeURIComponent(id)+\"&q=\"+encodeURIComponent(rp.replacement_search_query));assert(s2.status===200,\"TOKEN_REPLAN_SEARCH_FAIL\");\n const ids2=skillIds(s2.json);const m2=await fetchManifests(H_TOKEN,\"id\",id,ids2);\n const pick=await decide(\"token_replacement_choice_v1\",replacementSchema,{\n failure:failed,last_good_output:lastGood,search_results:s2.json.results,manifests:m2\n });\n assert(ids2.includes(pick.replacement_skill_id),\"TOKEN_REPLACEMENT_UNDISCOVERED\");\n const rr=await post(H_TOKEN,\"/execute-skill\",{challenge_id:id,skill_id:pick.replacement_skill_id,input:lastGood});\n events.push({skill_id:pick.replacement_skill_id,status:rr.status,result:rr.json,replacement:true});assert(rr.status===200,\"TOKEN_REPLACEMENT_EXEC_FAIL\");\n current=rr.json.output;\n for(let i=failIndex+1;iids.includes(x)),\"ROUTE_PLAN_UNDISCOVERED\");\n const firstManifest:any=manifests.find((x:any)=>x.id===plan.ordered_skill_ids[0])?.manifest??null;\n assert(firstManifest&&firstManifest.input_kind===n.json.runtime_input.kind,\"ROUTE_FIRST_SKILL_INPUT_KIND_MISMATCH\");\n let current:any={...n.json.runtime_input};const events1:any[]=[];\n for(const sid of plan.ordered_skill_ids){\n const r=await post(H_ROUTE,\"/execute-skill\",{session_id:id,skill_id:sid,input:current});\n events1.push({skill_id:sid,status:r.status,result:r.json});assert(r.status===200,\"ROUTE_PHASE1_SKILL_FAIL\");\n current=r.json.output;\n }\n const verify1=await post(H_ROUTE,\"/verify-phase1\",{session_id:id,artifact:current});assert(verify1.status===200&&verify1.json?.pass===true,\"ROUTE_VERIFY1_FAIL\");\n const retained=plan.retention.filter((x:any)=>x.disposition===\"RETAIN\").map((x:any)=>x.skill_id);\n const conditional=plan.retention.filter((x:any)=>x.disposition===\"CONDITIONAL\").map((x:any)=>x.skill_id);\n const retention1={schema:\"VAL_NATIVE_CANDIDATE_RETENTION_PHASE1_V1\",candidate_id:candidateId,run_id:runId,session_id:id,retained_verified:retained,conditional_or_scoped:conditional,evidence:{knowledge_href:d1.knowledge_href,skill_events:events1.map(x=>({skill_id:x.skill_id,status:x.status}))}};\n const key1=\"equivalence/\"+runId+\"/route-retention-phase1.json\";const retention1Text=JSON.stringify(retention1);await blob.set(key1,retention1Text);\n const globalKey1=\"brain-val-superhero-candidate-v1/\"+key1;await globalBlob.set(globalKey1,retention1Text);\n const ref1=\"valblob:mosadek/brain-val-superhero-candidate-v1/\"+key1;\n const adv=await post(H_ROUTE,\"/advance-phase2\",{session_id:id,retention_claim:{retained_verified:retained,conditional_or_scoped:conditional,external_record_ref:ref1}});assert(adv.status===200,\"ROUTE_ADVANCE2_FAIL\");\n\n const idx2=await req(H_ROUTE,\"/knowledge-index?id=\"+encodeURIComponent(id));assert(idx2.status===200,\"ROUTE_INDEX2_FAIL\");\n const d2=await decide(\"route_source_choice_phase2_v1\",sourceDecisionSchema,{\n goal:\"Policy/preconditions changed. Re-evaluate current authoritative knowledge before reusing retained cognition. The search query should help only if a replacement becomes necessary.\",\n runtime_input:adv.json.runtime_input,knowledge_index:idx2.json,prior_retention:retention1\n });\n assert(hrefAllowed(idx2.json,d2.knowledge_href),\"ROUTE_SOURCE2_NOT_FROM_INDEX\");\n const knowledge2=await req(H_ROUTE,d2.knowledge_href);assert(knowledge2.status===200,\"ROUTE_KNOW2_FAIL\");\n\n current=adv.json.runtime_input;const events2:any[]=[];let failed:any=null,failIndex=-1,lastGood:any=current;\n for(let i=0;ix.status===200).map((x:any)=>String(x.skill_id)));\n const canonicalRetained=[\n ...retention1.retained_verified.filter((sid:string)=>successfulPhase2.has(sid)),\n ...(replacementId&&successfulPhase2.has(replacementId)?[replacementId]:[])\n ].filter((sid:string,i:number,a:string[])=>a.indexOf(sid)===i);\n const canonicalDemoted=failed?.skill_id?[String(failed.skill_id)]:[];\n const retention2={schema:\"VAL_NATIVE_CANDIDATE_RETENTION_PHASE2_V1\",candidate_id:candidateId,run_id:runId,session_id:id,retained:canonicalRetained,demoted_or_revised:canonicalDemoted,model_revision_reasoning:revision,evidence:{knowledge_href:d2.knowledge_href,events:events2.map(x=>({skill_id:x.skill_id,status:x.status,replacement:!!x.replacement}))}};\n const key2=\"equivalence/\"+runId+\"/route-retention-phase2.json\";const retention2Text=JSON.stringify(retention2);await blob.set(key2,retention2Text);\n const globalKey2=\"brain-val-superhero-candidate-v1/\"+key2;await globalBlob.set(globalKey2,retention2Text);\n const ref2=\"valblob:mosadek/brain-val-superhero-candidate-v1/\"+key2;\n const verify2=await post(H_ROUTE,\"/verify-phase2\",{session_id:id,artifact:current,revision_record:{retained:canonicalRetained,demoted_or_revised:canonicalDemoted,external_record_ref:ref2}});\n const audit=await req(H_ROUTE,\"/audit?id=\"+encodeURIComponent(id));\n const rb1=await blob.get(key1).then(r=>r.text());const rb2=await blob.get(key2).then(r=>r.text());\n return{domain:\"ROUTE\",session_id:id,knowledge_phase1:d1.knowledge_href,knowledge_phase2:d2.knowledge_href,plan,events1,verify1:verify1.json,retention1_ref:ref1,events2,replacement_skill_id:replacementId,revision,verify2:verify2.json,verify2_status:verify2.status,audit:audit.json,durable_readback:JSON.parse(rb1).session_id===id&&JSON.parse(rb2).session_id===id,pass:verify2.status===200&&verify2.json?.pass===true};\n}\n\nconst started=new Date().toISOString();\nlet token:any=null,route:any=null,error:any=null;\ntry{\n token=await tokenDomain();\n assert(token.pass,\"TOKEN_DOMAIN_NOT_VERIFIED\");\n route=await routeDomain();\n assert(route.pass,\"ROUTE_DOMAIN_NOT_VERIFIED\");\n}catch(e){error=e instanceof Error?e.message:String(e)}\nconst result={\n schema:\"VAL_NATIVE_GENERIC_SUPERHERO_EQUIVALENCE_V2_CANDIDATE_RUN_V1\",\n classification:\"CANDIDATE_NONAUTHORITY_BEHAVIOR_EVIDENCE\",\n candidate_id:candidateId,run_id:runId,started_at:started,completed_at:new Date().toISOString(),\n controller_constraints:{\n hidden_harness_source_inspected_by_runtime_controller:false,\n benchmark_skill_ids_hardcoded_in_source:false,\n hidden_answer_or_mapping_hardcoded:false,\n decisions_from_public_runtime_metadata_and_model:true,\n model:\"gpt-5.6-luna\"\n },\n token_domain:token,route_domain:route,error,\n candidate_pass:error===null&&token?.pass===true&&route?.pass===true,\n transcript,\n p_real_increment:0,authority:false,independent_review_claimed:false,human_authority_approval:false,direct_sprites_calls:0,additional_out_of_pocket_spend_usd:0\n};\nconst resultText=JSON.stringify(result);\nconst dg=await crypto.subtle.digest(\"SHA-256\",new TextEncoder().encode(resultText));\nconst resultSha=[...new Uint8Array(dg)].map(b=>b.toString(16).padStart(2,\"0\")).join(\"\");\nawait blob.set(\"equivalence/\"+runId+\"/candidate-result.json\",resultText);\nawait blob.setJSON(\"equivalence/LATEST.json\",{run_id:runId,result_key:\"equivalence/\"+runId+\"/candidate-result.json\",result_sha256:resultSha,candidate_pass:result.candidate_pass});\nconsole.log(JSON.stringify({schema:result.schema,candidate_id:candidateId,run_id:runId,candidate_pass:result.candidate_pass,error,result_sha256:resultSha,token_pass:token?.pass??false,route_pass:route?.pass??false,token_challenge_id:token?.challenge_id??null,route_session_id:route?.session_id??null,p_real_increment:0},null,2));",[158],"pulls","branches",2,"forks","envVars",{"_173":63,"_175":63},"connections",{"_173":63,"_174":63},"count","unfilledCount","emptyCount",{"_43":157,"_32":158,"_30":159,"_138":-5,"_41":42,"_40":160,"_140":25,"_38":190,"_13":162,"_33":34,"_35":163,"_24":25,"_143":-5,"_181":191,"_27":192},{"_43":149,"_32":150,"_30":151,"_138":-5,"_41":42,"_40":152,"_140":59,"_38":187,"_13":154,"_33":34,"_35":155,"_24":25,"_143":-5,"_181":188,"_27":189},{"_43":145,"_32":28,"_30":31,"_138":-5,"_41":42,"_40":14,"_140":25,"_38":184,"_13":147,"_33":34,"_35":37,"_24":25,"_143":-5,"_181":185,"_27":186},{"_43":135,"_32":136,"_30":137,"_138":-5,"_41":42,"_40":139,"_140":59,"_38":180,"_13":63,"_33":34,"_35":142,"_24":25,"_143":-5,"_181":182,"_27":183},["D",1788896994705],"children",[],[136],["D",1788897198797],[],[28],["D",1788897130659],[],[150],["D",1788897197204],[],[158],["D",1788896582199],["D",1789476648181],{"_100":99,"_108":104},{"_100":99,"_101":102,"_103":104,"_18":55,"_105":106,"_107":25},{"_13":89,"_32":90,"_43":42,"_91":44,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":-5,"_97":45,"_98":99},"ctx",{"_82":-5,"_128":231,"_232":233,"_234":235,"_236":25,"_237":25,"_238":25,"_239":59,"_240":-5,"_241":-7,"_242":-7,"_243":63,"_244":25,"_245":25,"_246":-5,"_247":25,"_248":25,"_249":25,"_250":-5},"ENV",{"_202":203,"_204":205,"_206":90,"_207":208,"_209":210,"_211":212,"_213":214,"_215":216,"_217":218,"_219":220,"_221":222,"_223":224,"_225":226,"_227":228,"_229":230},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v38