v0 App

46:o1,~46:o874,2:"$Sreact.fragment" 3:"/chat-static/_next/static/immutable/chunks/1pge725dtip24.js" 4:I[244313,["$3"],"default"] 5:I[869785,["$3"],"default"] 39:"ViewportBoundary" 3a:I[179377,["$3"],"$39"] 3c:"MetadataBoundary" 3d:I[179377,["$3"],"$3c"] 3e:"$Sreact.suspense" :HL["/chat-static/_next/static/immutable/chunks/05qrgy5fgoi_f.css","style"] :HL["/chat-static/_next/static/immutable/chunks/0qc7d2kbtk13b.css","style"] :HL["/chat-static/_next/static/immutable/chunks/30mde7a-ynlla.css","style"] :HL["/chat-static/_next/static/immutable/chunks/0fdug_96ci9uf.css","style"] :HL["/chat-static/_next/static/immutable/chunks/2xe9f-zs9wet5.css","style"] 1:X 6:X 18:X 1b:X 22:X 20:[["children",{"s":"__PAGE__","h":162,"d":{"r":"$L21","p":false,"v":"$22"}}]] 1e:[["children",{"s":{"n":"id","t":"d","k":"resume-previous-tasks-uE91JOYdNZV","s":null},"h":98,"d":{"r":"$L1f","p":false,"v":"$6"},"c":"$Q20"}]] 2c:X 2a:[["children",{"s":"__PAGE__","h":2,"d":{"r":"$L2b","p":false,"v":"$2c"}}]] 28:[["children",{"s":{"n":"id","t":"d","k":"resume-previous-tasks-uE91JOYdNZV","s":null},"h":38,"d":{"r":"$L29","p":false,"v":"$6"},"c":"$Q2a"}]] 26:[["children",{"s":"chat","h":106,"d":{"r":"$L27","p":false,"v":"$6"},"c":"$Q28"}]] 24:[["children",{"s":"(chat)","h":106,"d":{"r":"$L25","p":false,"v":"$6"},"c":"$Q26"}]] 36:X 34:[["children",{"s":"__PAGE__","h":34,"d":{"r":"$L35","p":false,"v":"$36"}}]] 32:[["children",{"s":{"n":"id","t":"d","k":"resume-previous-tasks-uE91JOYdNZV","s":null},"h":102,"d":{"r":"$L33","p":false,"v":"$6"},"c":"$Q34"}]] 30:[["children",{"s":"chat","h":106,"d":{"r":"$L31","p":false,"v":"$6"},"c":"$Q32"}]] 2e:[["children",{"s":"(chat)","h":106,"d":{"r":"$L2f","p":false,"v":"$6"},"c":"$Q30"}]] 38:X 1c:[["children",{"s":"chat","h":98,"d":{"r":"$L1d","p":false,"v":"$6"},"c":"$Q1e"}],["content",{"s":"(__SLOT__)","h":74,"d":{"r":"$L23","p":false,"v":"$6"},"c":"$Q24"}],["header",{"s":"(__SLOT__)","h":74,"d":{"r":"$L2d","p":false,"v":"$6"},"c":"$Q2e"}],["sidebar",{"s":"__DEFAULT__","h":2,"d":{"r":"$L37","p":false,"v":"$38"}}]] 19:[["children",{"s":{"n":"scope","t":"d","k":"8he76pjc5o-3850","s":null},"h":74,"d":{"r":"$L1a","p":false,"v":"$1b"},"c":"$Q1c"}]] 46:oc70,8:[["children",{"s":"(dynamic-root)","h":58,"d":{"r":["$","$2","c",{"children":[[["$","link","0",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/05qrgy5fgoi_f.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","1",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/0qc7d2kbtk13b.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","2",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/30mde7a-ynlla.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","3",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/0fdug_96ci9uf.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","4",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/2xe9f-zs9wet5.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/33ljq-vay1g5k.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/1y6ng986vrbzu.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/2frjy75o_4v9u.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/2-g1bwqnh1wa-.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/0cv4ref60dgwj.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/180hcdzpqrgcp.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/3a_2d5199h-2m.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/0aaw5ikv5oye_.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/01ofw62nkfqro.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/2yoan00c6ani6.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/422e9y-m50hld.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/2sk2ia3pmm229.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/3boitmv84gqnu.js","async":true,"nonce":"$undefined"}],["$","script","script-13",{"src":"/chat-static/_next/static/immutable/chunks/1190pbct1nzio.js","async":true,"nonce":"$undefined"}],["$","script","script-14",{"src":"/chat-static/_next/static/immutable/chunks/27pbf2ea84p7h.js","async":true,"nonce":"$undefined"}],["$","script","script-15",{"src":"/chat-static/_next/static/immutable/chunks/2w9pq-qeurssx.js","async":true,"nonce":"$undefined"}],"$L9","$La","$Lb","$Lc","$Ld","$Le","$Lf","$L10","$L11","$L12","$L13","$L14","$L15","$L16"],"$L17"]}],"p":false,"v":"$18"},"c":"$Q19"}]] 46:o1db,7:[["children",{"s":{"n":"variants","t":"d","k":"v0pprvariant-0-0-en-cgas","s":null},"h":122,"d":{"r":["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}],"p":false,"v":"$6"},"c":"$Q8"}]] 40:X 41:X 46:o71d,0:{"q":"","i":false,"S":true,"r":"$1","t":{"t":{"s":"","h":90,"d":{"r":["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":[[["$","title",null,{"children":"404: This page could not be found."}],["$","div",null,{"style":{"fontFamily":"system-ui,\"Segoe UI\",Roboto,Helvetica,Arial,sans-serif,\"Apple Color Emoji\",\"Segoe UI Emoji\"","height":"100vh","textAlign":"center","display":"flex","flexDirection":"column","alignItems":"center","justifyContent":"center"},"children":["$","div",null,{"children":[["$","style",null,{"dangerouslySetInnerHTML":{"__html":"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}"}}],["$","h1",null,{"className":"next-error-h1","style":{"display":"inline-block","margin":"0 20px 0 0","padding":"0 23px 0 0","fontSize":24,"fontWeight":500,"verticalAlign":"top","lineHeight":"49px"},"children":404}],["$","div",null,{"style":{"display":"inline-block"},"children":["$","h2",null,{"style":{"fontSize":14,"fontWeight":400,"lineHeight":"49px","margin":0},"children":"This page could not be found."}]}]]}]}]],[]],"forbidden":"$undefined","unauthorized":"$undefined"}]]}],"p":false,"v":"$6"},"c":"$Q7"},"h":{"r":["$","$2","h",{"children":[null,["$","$L3a","1dachBRVW_nKoLPCXRqGUv",{"children":"$L3b"}],["$","$L3d","1dachBRVW_nKoLPCXRqGUm",{"children":[["$","div",null,{"hidden":true,"children":["$","$3e",null,{"name":"Next.Metadata","children":"$L3f"}]}],null]}]]}],"p":false,"v":"$40"}},"s":"$41","a":"$@42","w":"$@43"} 46:o1000,45:I[179377,["$3"],"OutletBoundary"] 47:"LoadingBoundaryProvider" 48:I[244313,["$3"],"$47"] 50:"/chat-static/_next/static/immutable/chunks/33ljq-vay1g5k.js" 51:"/chat-static/_next/static/immutable/chunks/1y6ng986vrbzu.js" 52:"/chat-static/_next/static/immutable/chunks/2frjy75o_4v9u.js" 53:"/chat-static/_next/static/immutable/chunks/2-g1bwqnh1wa-.js" 54:"/chat-static/_next/static/immutable/chunks/0cv4ref60dgwj.js" 55:"/chat-static/_next/static/immutable/chunks/180hcdzpqrgcp.js" 56:"/chat-static/_next/static/immutable/chunks/3a_2d5199h-2m.js" 57:"/chat-static/_next/static/immutable/chunks/0aaw5ikv5oye_.js" 58:"/chat-static/_next/static/immutable/chunks/01ofw62nkfqro.js" 59:"/chat-static/_next/static/immutable/chunks/2yoan00c6ani6.js" 5a:"/chat-static/_next/static/immutable/chunks/422e9y-m50hld.js" 5b:"/chat-static/_next/static/immutable/chunks/2sk2ia3pmm229.js" 5c:"/chat-static/_next/static/immutable/chunks/3boitmv84gqnu.js" 5d:"/chat-static/_next/static/immutable/chunks/1190pbct1nzio.js" 5e:"/chat-static/_next/static/immutable/chunks/27pbf2ea84p7h.js" 5f:"/chat-static/_next/static/immutable/chunks/2w9pq-qeurssx.js" 60:"/chat-static/_next/static/immutable/chunks/2baj4vr1176l5.js" 61:"/chat-static/_next/static/immutable/chunks/0smhwug36rohv.js" 62:"/chat-static/_next/static/immutable/chunks/2e97dplthuc_v.js" 63:"/chat-static/_next/static/immutable/chunks/0dxgz2n-xzqpv.js" 64:"/chat-static/_next/static/immutable/chunks/0_35d50m8km39.js" 65:"/chat-static/_next/static/immutable/chunks/0tiibu9bb0ttq.js" 66:"/chat-static/_next/static/immutable/chunks/0u826nrzwc955.js" 67:"/chat-static/_next/static/immutable/chunks/2c-0k577491jk.js" 68:"/chat-static/_next/static/immutable/chunks/0jmc74_48ugjr.js" 69:"/chat-static/_next/static/immutable/chunks/17uzcosoki-0k.js" 6a:"/chat-static/_next/static/immutable/chunks/0d1qhr8qmsq0t.js" 6b:"/chat-static/_next/static/immutable/chunks/0hok6blv70par.js" 6c:"/chat-static/_next/static/immutable/chunks/3s8iykepahc-n.js" 6d:"/chat-static/_next/static/immutable/chunks/0f1lilwypgzcf.js" 6e:"/chat-static/_next/static/immutable/chunks/0mc8flcu9maoh.js" 6f:"/chat-static/_next/static/immutable/chunks/3iatcu_sk_hdu.js" 70:"/chat-static/_next/static/immutable/chunks/1r919arh_i0_3.js" 71:"/chat-static/_next/static/immutable/chunks/1j_ah5cgw6mv4.js" 72:"/chat-static/_next/static/immutable/chunks/0ji44jpm7s_x8.js" 73:"/chat-static/_next/static/immutable/chunks/3szcebacvpra8.js" 74:"/chat-static/_next/static/immutable/chunks/3istghzrkzgzd.js" 75:"/chat-static/_next/static/immutable/chunks/3cgu_429da7ux.js" 76:"/chat-static/_next/static/immutable/chunks/1c5pkcop4zrgx.js" 77:"/chat-static/_next/static/immutable/chunks/32aayth1lahou.js" 78:"/chat-static/_next/static/immutable/chunks/04fiib6k01gas.js" 79:"/chat-static/_next/static/immutable/chunks/0g04i5qupew2f.js" 7a:"/chat-static/_next/static/immutable/chunks/0607e0xleohmz.js" 7b:"/chat-static/_next/static/immutable/chunks/1u3e3ajxg0vtp.js" 7c:"/chat-static/_next/static/immutable/chunks/1t5qbcd_6wahr.js" 7d:"/chat-static/_next/static/immutable/chunks/06ennr32umeem.js" 7e:"/chat-static/_next/static/immutable/chunks/003dyf377zj-t.js" 7f:I[822201,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$7a","$7b","$7c","$7d","$7e"],"default"] 80:"/chat-static/_next/static/immutable/chunks/2nqwmbhs33kl1.js" 81:"/chat-static/_next/static/immutable/chunks/2h6sinm9o22k_.js" 82:"/chat-static/_next/static/immutable/chunks/2ypxjieelxnfx.js" 83:"/chat-static/_next/static/immutable/chunks/337ju01zwtooi.js" 84:"/chat-static/_next/static/immutable/chunks/2vd0t2mj9duu7.js" 85:"/chat-static/_next/static/immutable/chunks/0dy6ea88eldxg.js" 86:"/chat-static/_next/static/immutable/chunks/2txag0b0e3tvu.js" 87:"/chat-static/_next/static/immutable/chunks/3kj7xhr88mjjn.js" 88:"/chat-static/_next/static/immutable/chunks/3k3h7f91fb1z0.js" 89:"/chat-static/_next/static/immutable/chunks/0a342lgm-_46:o919,8qi.js" 8a:"/chat-static/_next/static/immutable/chunks/2ankyu4qrx2i4.js" 8b:"GitChatHeaderSkeleton" 8c:I[70040,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$8b"] 6:C 9:["$","script","script-16",{"src":"/chat-static/_next/static/immutable/chunks/2baj4vr1176l5.js","async":true,"nonce":"$undefined"}] a:["$","script","script-17",{"src":"/chat-static/_next/static/immutable/chunks/0smhwug36rohv.js","async":true,"nonce":"$undefined"}] b:["$","script","script-18",{"src":"/chat-static/_next/static/immutable/chunks/2e97dplthuc_v.js","async":true,"nonce":"$undefined"}] c:["$","script","script-19",{"src":"/chat-static/_next/static/immutable/chunks/0dxgz2n-xzqpv.js","async":true,"nonce":"$undefined"}] d:["$","script","script-20",{"src":"/chat-static/_next/static/immutable/chunks/0_35d50m8km39.js","async":true,"nonce":"$undefined"}] e:["$","script","script-21",{"src":"/chat-static/_next/static/immutable/chunks/0tiibu9bb0ttq.js","async":true,"nonce":"$undefined"}] f:["$","script","script-22",{"src":"/chat-static/_next/static/immutable/chunks/0u826nrzwc955.js","async":true,"nonce":"$undefined"}] 10:["$","script","script-23",{"src":"/chat-static/_next/static/immutable/chunks/2c-0k577491jk.js","async":true,"nonce":"$undefined"}] 11:["$","script","script-24",{"src":"/chat-static/_next/static/immutable/chunks/0jmc74_48ugjr.js","async":true,"nonce":"$undefined"}] 12:["$","script","script-25",{"src":"/chat-static/_next/static/immutable/chunks/17uzcosoki-0k.js","async":true,"nonce":"$undefined"}] 13:["$","script","script-26",{"src":"/chat-static/_next/static/immutable/chunks/0d1qhr8qmsq0t.js","async":true,"nonce":"$undefined"}] 14:["$","script","script-27",{"src":"/chat-static/_next/static/immutable/chunks/0hok6blv70par.js","async":true,"nonce":"$undefined"}] 15:["$","script","script-28",{"src":"/chat-static/_next/static/immutable/chunks/3s8iykepahc-n.js","async":true,"nonce":"$undefined"}] 16:["$","script","script-29",{"src":"/chat-static/_next/static/immutable/chunks/0f1lilwypgzcf.js","async":true,"nonce":"$undefined"}] 46:o644,1a:["$","$2","c",{"children":[[["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/0mc8flcu9maoh.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/3iatcu_sk_hdu.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/1r919arh_i0_3.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/1j_ah5cgw6mv4.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/0ji44jpm7s_x8.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/3szcebacvpra8.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/3istghzrkzgzd.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/3cgu_429da7ux.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/1c5pkcop4zrgx.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/32aayth1lahou.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/04fiib6k01gas.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/0g04i5qupew2f.js","async":true,"nonce":"$undefined"}]],"$L44"]}] 46:o29a,1d:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}] 1f:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}] 46:o726,21:["$","$2","c",{"children":[null,[["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/2mek-spmr__03.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/2ypxjieelxnfx.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/2nqwmbhs33kl1.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/003dyf377zj-t.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/2h6sinm9o22k_.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/06ennr32umeem.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/2txag0b0e3tvu.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/0dy6ea88eldxg.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/3k3h7f91fb1z0.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/3kj7xhr88mjjn.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/337ju01zwtooi.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/2ankyu4qrx2i4.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/0a342lgm-_8qi.js","async":true,"nonce":"$undefined"}]],["$","$L45",null,{"children":["$","$3e",null,{"name":"Next.MetadataOutlet","children":"$@46"}]}]]}] 46:o3e7,23:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}] 25:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}] 27:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}] 46:o1103,29:["$","$L48",null,{"loading":[["$","$2","l",{"children":[["$","span",null,{"role":"status","aria-live":"polite","className":"sr-only","children":"Loading chat…"}],["$","div",null,{"data-chat-skeleton-layout":true,"aria-hidden":"true","className":"flex-1 w-full flex","children":[["$","div",null,{"data-input":true,"className":"flex","children":["$","div",null,{"data-skeleton-chat-column":true,"className":"flex flex-col size-full pt-4 px-2 pb-2","children":[["$","div",null,{"className":"flex-1 overflow-hidden mask-[linear-gradient(to_bottom,black_0%,transparent_100%)]","children":["$","div",null,{"className":"max-w-3xl mx-auto w-full flex-col pt-2","children":[["$","div",null,{"className":"@container/message group w-full [&_code]:break-all wrap-break-word flex flex-col gap-2 origin-right items-end px-2","data-testid":"skeleton-message","children":[["$","div",null,{"className":"flex items-center gap-1.5 pr-1","children":["$","div",null,{"className":"size-4 rounded-full bg-v0-gray-300"}]}],["$","div",null,{"className":"flex items-end sm:max-w-[min(fit-content,80%)] max-w-[90%] origin-top-right","children":["$","div",null,{"className":"border border-v0-gray-200 text-left relative rounded-[16px] bg-v0-gray-200 px-3 py-1.5 min-w-0 wrap-break-word group/message-bubble","children":["$","div",null,{"style":{"width":900,"height":120}}]}]}],["$","div",null,{"className":"flex items-center gap-1 justify-end flex-row-reverse mr-[-2px] h-6"}]]}],["$","div",null,{"className":"flex flex-col w-full gap-4 px-2","children":[["$","div",null,{"className":"h-6 w-full flex flex-row gap-2","children":[["$","div",null,{"className":"bg-v0-gray-300 min-w-4 h-4 rounded-full"}],["$","div",null,{"className":"bg-v0-gray-300 h-4 rounded-md w-[70%] max-w-[200px]"}]]}],["$","div",null,{"className":"gap-1 flex flex-col w-full relative","children":[["$","div","0",{"className":"bg-v0-gray-300 h-4 rounded-md","style":{"width":"100%"}}],["$","div","1",{"className":"bg-v0-gray-300 h-4 rounded-md","style":{"width":"100%"}}],["$","div","2",{"className":"bg-v0-gray-300 h-4 rounded-md","style":{"width":"100%"}}],["$","div","3",{"className":"bg-v0-gray-300 h-4 rounded-md","style":{"width":"100%"}}],["$","div","4",{"className":"bg-v0-gray-300 h-4 rounded-md","style":{"width":"40%"}}]]}],["$","div",null,{"className":"h-6 w-full flex flex-row gap-2","children":[["$","div",null,{"className":"bg-v0-gray-300 min-w-4 h-4 rounded-full"}],["$","div",null,{"className":"bg-v0-gray-300 h-4 rounded-md w-[70%] max-w-[200px]"}]]}],["$","div",null,{"className":"gap-1 flex flex-col w-full relative","children":[["$","div","0",{"className":"bg-v0-gray-300 h-4 rounded-md","style":{"width":"100%"}}],["$","div","1",{"className":"bg-v0-gray-300 h-4 rounded-md","style":{"width":"100%"}}],["$","div","2",{"className":"bg-v0-gray-300 h-4 rounded-md","style":{"width":"40%"}}]]}],["$","div",null,{"className":"h-6 w-full flex flex-row gap-2","children":[["$","div",null,{"className":"bg-v0-gray-300 min-w-4 h-4 rounded-full"}],["$","div",null,{"className":"bg-v0-gray-300 h-4 rounded-md w-[70%] max-w-[200px]"}]]}]]}],["$","div",null,{"className":"@container/message group w-full [&_code]:break-all wrap-break-word flex flex-col gap-2 origin-right items-end px-2","data-testid":"skeleton-message","children":[["$","div",null,{"className":"flex items-center gap-1.5 pr-1","children":["$","div",null,{"className":"size-4 rounded-full bg-v0-gray-300"}]}],["$","div",null,{"className":"flex items-end sm:max-w-[min(fit-content,80%)] max-w-[90%] origin-top-right","children":["$","div",null,{"className":"border border-v0-gray-200 text-left relative rounded-[16px] bg-v0-gray-200 px-3 py-1.5 min-w-0 wrap-break-word group/message-bubble","children":["$","div",null,{"style":{"width":900,"height":120}}]}]}],["$","div",null,{"className":"flex items-center gap-1 justify-end flex-row-reverse mr-[-2px] h-6"}]]}]]}]}],["$","div",null,{"className":"mx-auto w-full max-w-3xl","children":["$","div",null,{"className":"p-1.5 flex items-center gap-1 rounded-xl material-medium bg-v0-background-300 border border-v0-alpha-400","children":[["$","div",null,{"className":"flex size-7 shrink-0 items-center justify-center","children":["$","div",null,{"className":"animate-pulse bg-v0-gray-200 size-4 rounded"}]}],"$L49","$L4a","$L4b"]}]}]]}]}],"$L4c"]}],"$L4d"]}],[],null],"children":"$L4e"}] 46:o6cc,2b:["$","$2","c",{"children":["$L4f",[["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/2mek-spmr__03.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/2ypxjieelxnfx.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/2nqwmbhs33kl1.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/003dyf377zj-t.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/2h6sinm9o22k_.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/06ennr32umeem.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/2txag0b0e3tvu.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/0dy6ea88eldxg.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/3k3h7f91fb1z0.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/3kj7xhr88mjjn.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/337ju01zwtooi.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/2ankyu4qrx2i4.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/0a342lgm-_8qi.js","async":true,"nonce":"$undefined"}]],null]}] 46:o802,2d:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}] 2f:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}] 31:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}] 33:["$","$L48",null,{"loading":[["$","$L7f","l",{}],[],[["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/0607e0xleohmz.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/1u3e3ajxg0vtp.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/1t5qbcd_6wahr.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/06ennr32umeem.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/003dyf377zj-t.js","async":true,"nonce":"$undefined"}]]],"children":["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}]}] 46:o78d,35:["$","$2","c",{"children":[["$","$3e",null,{"fallback":["$","$L8c",null,{}],"children":"$L8d"}],[["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/2nqwmbhs33kl1.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/2h6sinm9o22k_.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/2ypxjieelxnfx.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/1t5qbcd_6wahr.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/003dyf377zj-t.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/337ju01zwtooi.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/2vd0t2mj9duu7.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/0dy6ea88eldxg.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/2txag0b0e3tvu.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/3kj7xhr88mjjn.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/3k3h7f91fb1z0.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/06ennr32umeem.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/0a342lgm-_8qi.js","async":true,"nonce":"$undefined"}],["$","script","script-13",{"src":"/chat-static/_next/static/immutable/chunks/2ankyu4qrx2i4.js","async":true,"nonce":"$undefined"}]],null]}] 46:o32,37:["$","$2","c",{"children":["$L8e",null,null]}] 46:o885,90:I[987761,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"AppCard"] 91:"FULL_BLEED_APP_CARD_CLASSNAME" 92:I[987761,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$91"] 93:"/chat-static/_next/static/immutable/chunks/19oxrib0_sdho.js" 94:"SidebarCollapseButton" 95:I[663042,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$93"],"$94"] 96:I[192842,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"ChatWarning"] 97:I[903785,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$93"],"NewChatButton"] 41:300 49:["$","div",null,{"className":"flex-1 min-w-0","children":["$","div",null,{"className":"animate-pulse bg-v0-gray-200 h-4 w-24 rounded"}]}] 4a:["$","div",null,{"className":"animate-pulse bg-v0-gray-200 h-6 w-16 rounded-md"}] 4b:["$","div",null,{"className":"animate-pulse bg-v0-gray-200 size-7 rounded-full"}] 4c:["$","div",null,{"data-output":true,"className":"bg-v0-background-200"}] 8f:T1963,46:o1963,46:o35d,4d:["$","span",null,{"data-v0-skeleton-chat-layout":"","hidden":true,"dangerouslySetInnerHTML":{"__html":"$8f"}}] 4e:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":[["$","$3e",null,{"fallback":["$","$L90",null,{"className":"$92","children":[["$","$L95",null,{"collapsedOnly":true,"syncWidth":true,"syncCollapsedMarginRight":"0px","syncExpandedMarginRight":"0px","peekOnHover":false,"className":"pointer-events-auto absolute left-3 top-3 z-20 hidden sm:flex"}],["$","$L96",null,{"description":"Loading…","title":"Chat Not Found","children":["$","$L97",null,{}]}]]}],"children":"$L98"}],[]],"forbidden":"$undefined","unauthorized":"$undefined"}]]}] 46:o17,18:T8,variants99:T18d6,46:o18d6,(({protect:a})=>{function b(a){return new Promise((b,c)=>{if(document.querySelector(`script[src="${a}"]`))return void b();let d=document.createElement("script");d.src=a,d.async=!0,d.onload=()=>b(),d.onerror=a=>{console.error("Error loading script",a),c(a)},document.head.appendChild(d)})}var c=class a{#a;#b;#c=0;constructor(){let{promise:b,resolve:c}=a.#d();this.#a=b,this.#b=c,this.#e(),window.addEventListener("online",this.#f),window.addEventListener("visibilitychange",this.#f)}getChallenge=async()=>(await this.#g(),await this.#a.then(a=>"function"==typeof a?a():a));#f=()=>{if(document.hidden)return;let{promise:b,resolve:c}=a.#d();this.#a=b,this.#b=c,window.V_C=[],window.V_C.push=c;let d=document.querySelector('script[src*="c.js"]');d&&d.remove(),this.#c+=1};#e=()=>{if(window.V_C){let a=window.V_C.pop();a&&this.#b(a)}else window.V_C=[],window.V_C.push=this.#b};#g=()=>{let a=new URL("/149e9513-01fa-4fb0-aad4-566afd725d1b/2d206a39-8ed7-437e-a3be-862e0f06eea3/a-4-a/c.js",window.location.origin);return a.searchParams.set("i",String(this.#c)),a.searchParams.set("v",String(3)),a.searchParams.set("h",window.location.host),b(a.pathname+a.search)};#h=()=>{window.V_C=void 0};static #d(){let a,b;return{promise:new Promise((c,d)=>{a=c,b=d}),resolve:a,reject:b}}},d=class a{#a=!1;#b;constructor(a){this.#b=a}get loaded(){return this.#a}load=async()=>{this.#a||await this.#f()};#c=()=>{if(typeof globalThis.window>"u")throw Error("KPSDK is not available in the server");if(!window.KPSDK)throw Error("KPSDK is not loaded");let b=this.#b.map(b=>{let c=a.#e(b.path);return{domain:c.host,path:c.pathname,method:b.method}});try{window.KPSDK.configure(b)}catch(a){console.error("Error configuring KPSDK...",a)}};#f=async()=>{let a=this;return new Promise((c,d)=>{let e=()=>{document.removeEventListener("kpsdk-load",e),this.#c()},f=()=>{document.removeEventListener("kpsdk-ready",f),a.#a=!0,c()};document.addEventListener("kpsdk-load",e,{once:!0}),document.addEventListener("kpsdk-ready",f,{once:!0}),b("/149e9513-01fa-4fb0-aad4-566afd725d1b/2d206a39-8ed7-437e-a3be-862e0f06eea3/p.js").catch(a=>{document.removeEventListener("kpsdk-load",e),document.removeEventListener("kpsdk-ready",f),d(a)})})};static #e(a){let b;try{b=new URL(a)}catch{b=new URL(a,location.origin)}return b}},e=a=>{let b=a.replace(/[.?+^$[\]\\(){}|-]/g,"\\$&").split("*").join(".*");return RegExp(`^${b}$`)},f=({path:a,pattern:b})=>-1!==a.search(b);async function g(a,b,c){let d=XMLHttpRequest.prototype.open,g=XMLHttpRequest.prototype.send;XMLHttpRequest.prototype.open=function(a,b,c,e,f){return this._requestUrl=b.toString(),this._requestMethod=a,d.call(this,a,b,c??!0,e,f)},XMLHttpRequest.prototype.send=async function(d){let h=this._requestUrl;if(!h||this._isReexecution)return g.call(this,d);let i=new URL(h,location.href),j=c.find(a=>f({path:i.pathname,pattern:e(a.path)}));if(null==j||j.method!==(this._requestMethod??"GET")&&"*"!==j.method)return g.call(this,d);let k=await a.getChallenge();if(this.setRequestHeader("x-is-human",JSON.stringify(k)),this.setRequestHeader("x-path",i.pathname),this.setRequestHeader("x-method",this._requestMethod||"GET"),0!==k.b||b.loaded||((1===k.d||j?.advancedOptions?.checkLevel==="deepAnalysis")&&await b.load(),!b.loaded))return g.call(this,d);this.setRequestHeader("x-is-human",JSON.stringify(k)),this.setRequestHeader("x-path",i.pathname),this.setRequestHeader("x-method",this._requestMethod||"GET");let l=new XMLHttpRequest;return l._isReexecution=!0,l.open(this._requestMethod||"GET",h,!0),l.setRequestHeader("x-is-human",JSON.stringify(k)),l.setRequestHeader("x-path",i.pathname),l.setRequestHeader("x-method",this._requestMethod||"GET"),this.timeout&&(l.timeout=this.timeout),this.responseType&&(l.responseType=this.responseType),this.withCredentials&&(l.withCredentials=this.withCredentials),l.onreadystatechange=()=>{Object.defineProperty(this,"readyState",{value:l.readyState,writable:!0,configurable:!0}),l.readyState===XMLHttpRequest.DONE&&(Object.defineProperty(this,"status",{value:l.status,writable:!0,configurable:!0}),Object.defineProperty(this,"statusText",{value:l.statusText,writable:!0,configurable:!0}),Object.defineProperty(this,"response",{value:l.response,writable:!0,configurable:!0}),Object.defineProperty(this,"responseText",{value:l.responseText,writable:!0,configurable:!0}),Object.defineProperty(this,"responseXML",{value:l.responseXML,writable:!0,configurable:!0}),this.getAllResponseHeaders=()=>l.getAllResponseHeaders(),this.getResponseHeader=a=>l.getResponseHeader(a)),this.onreadystatechange&&this.onreadystatechange.call(this,new Event("readystatechange"))},l.onload=a=>{this.onload&&this.onload.call(this,a)},l.onerror=a=>{this.onerror&&this.onerror.call(this,a)},l.onabort=a=>{this.onabort&&this.onabort.call(this,a)},l.ontimeout=a=>{this.ontimeout&&this.ontimeout.call(this,a)},l.onloadstart=a=>{this.onloadstart&&this.onloadstart.call(this,a)},l.onloadend=a=>{this.onloadend&&this.onloadend.call(this,a)},l.onprogress=a=>{this.onprogress&&this.onprogress.call(this,a)},l.send(d)}}!function({protect:a=[]}){let b;for(let b of a)if(b.advancedOptions?.checkLevel!==void 0&&"deepAnalysis"!==b.advancedOptions.checkLevel&&"basic"!==b.advancedOptions.checkLevel)throw Error(`Invalid checkLevel "${b.advancedOptions.checkLevel}" for route "${b.path}". Must be one of: deepAnalysis, basic`);let h=new c,i=new d(a);g(h,i,a).catch(a=>{console.error("Error patching XMLHttpRequest:",a)}),b=window.fetch,window.fetch=async(c,d)=>{let g=new URL(c instanceof Request?c.url:c,location.href),j=g.origin===location.origin,k=a.find(a=>f({path:g.pathname,pattern:e(a.path)})),l=d?.method??(c instanceof Request?c.method:"GET"),m=null!=k&&(k.method===l||"*"===k.method);if(null==k||!m||!j)return b(c,d);let n=await h.getChallenge(),o=new Headers(d?.headers||(c instanceof Request?c.headers:void 0));o.set("x-is-human",JSON.stringify(n)),o.set("x-path",g.pathname),o.set("x-method",l);let p={...d,headers:o};return i.loaded||0!==n.b?b(c,p):1===n.d||k?.advancedOptions?.checkLevel==="deepAnalysis"?(await i.load(),window.fetch(c,p)):b(c,p)}}({protect:a})})({ protect: [{"path":"/chat/api/vm/actions/run-pipeline","method":"POST","advancedOptions":{"checkLevel":"deepAnalysis"}},{"path":"/chat/api/chat","method":"POST"},{"path":"/chat/api/vm/actions/*","method":"POST"},{"path":"*/chat/api/vm/actions/*","method":"POST"}] });46:o158,17:["$","html",null,{"lang":"en","suppressHydrationWarning":true,"children":[["$","head",null,{"children":[["$","meta",null,{"name":"ahrefs-site-verification","content":"e2ef51ac3cec223624a89ee7790eda482d23374870bff86fe0e0c599b8de4b51"}],["$","script",null,{"dangerouslySetInnerHTML":{"__html":"$99"}}],"$L9a","$L9b","$L9c","$L9d"]}],"$L9e"]}] 46:o1000,9f:"GeistThemeScript" a0:I[366216,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$9f"] a1:I[600033,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"AppStoreMetaTag"] a2:I[366216,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"GeistProvider"] a3:I[818362,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"LocaleProvider"] a4:I[841245,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"MotionConfig"] a5:"AtomicContextSWRProvider" a6:I[850359,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$a5"] a7:"GlobalPromiseContextProvider" a8:I[850359,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$a7"] ab:I[827887,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"JotaiProvider"] ac:"ServerQuerySWRRuntimeProvider" ad:I[74757,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$ac"] af:I[815349,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"CleanupStorage"] b0:I[771103,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"Analytics"] b1:I[604888,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"SpeedInsights"] b3:"VercelianAppFlowMigrator" b4:I[23825,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$b3"] b5:I[108762,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"TrackInfo"] b6:I[578386,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"PageViewTracker"] b7:I[356301,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"AutoCapture"] 9a:["$","$La0",null,{"storageKey":"theme"}] 9b:["$","$3e",null,{"children":["$","$La1",null,{}]}] 9c:["$","meta",null,{"name":"slack-app-id","content":"A09PS08K5R8"}] 9d:["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"[{\"@context\":\"https://schema.org\",\"@type\":\"Organiza46:o2cc,tion\",\"name\":\"Vercel\",\"url\":\"https://vercel.com\",\"logo\":\"https://assets.vercel.com/image/upload/front/favicon/vercel/favicon.ico\",\"sameAs\":[\"https://x.com/vercel\",\"https://x.com/v0\",\"https://github.com/vercel\",\"https://www.linkedin.com/company/vercel\",\"https://www.linkedin.com/company/v0dev\"]},{\"@context\":\"https://schema.org\",\"@type\":\"WebApplication\",\"name\":\"v0\",\"url\":\"https://v0.app\",\"description\":\"Your collaborative AI assistant to design, iterate, and scale full-stack applications for the web.\",\"applicationCategory\":[\"DeveloperApplication\",\"DesignApplication\"],\"operatingSystem\":\"All\",\"creator\":{\"@type\":\"Organization\",\"name\":\"Vercel\"}}]"}}] 46:o93b,9e:["$","body",null,{"className":"font-sans bg-v0-background-200 text-v0-gray-1000 antialiased _cpZVG_variable W08ayW_variable hGs1mq_variable","children":[["$","$La2",null,{"storageKey":"theme","withScript":false,"children":["$","$La3",null,{"locale":"en","children":["$","$La4",null,{"reducedMotion":"user","children":["$","$La6",null,{"routes":{"scoped":{"scopeUserDetails":{"path":"/api/chat/scoped/user","method":"GET"},"team":{"path":"/api/chat/scoped/team","method":"GET"},"vercelProjectsFavorites":{"path":"/api/chat/scoped/vercel-projects/favorites","method":"GET"},"chats":{"path":"/api/chat/scoped/chats","method":"GET"},"paginatedChats":{"path":"/api/chat/scoped/get-paginated-chats","method":"GET"},"designSystems":{"path":"/api/chat/scoped/design-systems-with-registry/list","method":"GET"},"sidebarProjectGroups":{"path":"/api/chat/scoped/sidebar-project-groups","method":"GET"},"sidebarDrafts":{"path":"/api/v2/internal/chats/sidebar-drafts","method":"GET"}},"chat":{"attributes":{"path":"/api/chat/chat/attributes","method":"GET"},"externalMeta":{"path":"/api/chat/chat/latest-external-meta","method":"GET"},"latest":{"path":"/api/chat/chat/latest","method":"GET"},"template":{"path":"/api/chat/chat/template","method":"GET"},"messages":{"path":"/api/chat/chat/messages","method":"GET"},"messagesRange":{"path":"/api/chat/chat/messages/range","method":"GET"},"gitStatus":{"path":"/api/git/status","method":"GET"}},"library":{"chatsList":{"path":"/api/chat/library/chats/list","method":"GET"},"archivedChatsList":{"path":"/api/chat/library/chats/archived","method":"GET"},"projectsList":{"path":"/api/chat/library/projects/list","method":"GET"},"filters":{"path":"/api/chat/library/filters","method":"GET"}},"project":{},"global":{"dailyModelUsage":{"path":"/api/chat/global/daily-model-usage","method":"GET"},"freeFixWithV0Usage":{"path":"/api/chat/global/free-fix-with-v0-usage","method":"GET"}}},"children":["$","$La8",null,{"params":null,"promises":{"dailyModelUsage":"$@a9","freeFixWithV0Usage":"$@aa"},"children":[["$","$Lab",null,{"children":["$","$Lad",null,{"children":"$Lae"}]}],["$","$Laf",null,{}]]}]}]}]}]}],["$","$Lb0",null,{}],["$","$Lb1",null,{"endpoint":"https://v0sdk.com/_vercel/speed-insights/vitals"}],["$","$3e",null,{"children":"$Lb2"}],["$","$Lb4",null,{}],["$","$Lb5",null,{}],["$","$Lb6",null,{}],["$","$Lb7",null,{}]]}] 46:o90,3b:[["$","meta","0",{"charSet":"utf-8"}],["$","meta","1",{"name":"viewport","content":"width=device-width, initial-scale=1, maximum-scale=1"}]] 46:oe,40:T8,variants46:o1000,b8:"HydrateDurableAtoms" b9:I[783749,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$b8"] ba:I[359783,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"DataProvider"] bb:I[32170,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"UserProvider"] bd:"AnimatedIconProvider" be:I[908887,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$bd"] bf:I[30570,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"PortalProvider"] c0:"SnowflakePublishProvider" c1:I[966820,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$c0"] c2:"UserInputProvider" c3:I[472914,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$c2"] c4:I[69221,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"CmdkProvider"] c5:"VirtualMachineUIStateProvider" c6:I[319228,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$c5"] c7:"DeployedPreviewIframeRefProvider" c8:I[166890,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$c7"] c9:"PreviewSourceUIStateProvider" ca:I[197843,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$c9"] cb:I[367078,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"LoaderProvider"] cc:"PromptFormUIProvider" cd:I[595358,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$cc"] ce:I[242759,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"FlagsProvider"] d0:I[823172,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"NuqsAdapter"] d1:"ChatTabsProvider" d2:I[568561,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$d1"] d3:"PersonalScopeMigrationAnnouncementProvider" d4:I[206559,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$d3"] d6:"AnnouncementVisibilityProvider" d7:I[878519,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$d6"] da:I[561588,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$5946:o4ab,","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"Toaster"] db:I[407562,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"Toaster"] dc:"SuspendingDialogs" dd:I[840793,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"$dc"] de:I[323194,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"SignInDialog"] df:I[279070,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"ConsentBanner"] e0:I[15279,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d"],"SessionManager"] 46:o8ef,ae:["$","$Lb9",null,{"serverData":{"chat":null,"scoped":null,"root":{"root":{"sidebarCollapsed":false,"sidebarPreferenceSet":false,"sidebarWidth":250,"sidebarGroupOrder":[],"lastUpdated":0,"modelConfiguration":{"fast":false,"modelId":"v0-max","thinking":false,"thinkingEffort":null,"imageGenerations":false},"modelDisplayPreference":null,"lastModelPreference":null,"manualModelSelectionAnchorKey":null,"toolConfiguration":{"webSearch":true,"generateImages":true,"vercelProjectId":null,"vercelProjectName":null,"vercelProjectBranch":null,"vercelProjectGitOrg":null,"vercelProjectGitRepo":null,"customInstructionIds":[],"mcpServerIds":[],"marketplaceMcpIds":[],"autoAllowMcpTools":false},"shouldShowUpgrade":false,"chatMobilePanel":"input","chatPanelLayout":[{"id":"input","ratio":0.205,"visible":true},{"id":"output","ratio":0.795,"visible":true}],"dismissedFeatureDialogs":{},"dismissedConnectRepoCard":false,"permissionsModeV2":null}}},"children":["$","$Lba",null,{"children":["$","$Lbb",null,{"expectUser":false,"userPromise":"$@bc","children":["$","$Lbe",null,{"children":["$","$Lbf",null,{"children":["$","$Lc1",null,{"children":["$","$Lc3",null,{"children":["$","$Lc4",null,{"children":["$","$Lc6",null,{"children":["$","$Lc8",null,{"children":["$","$Lca",null,{"children":["$","$Lcb",null,{"children":["$","$Lcd",null,{"children":["$","$Lce",null,{"promise":"$@cf","middlewareFlags":["cgas"],"children":["$","$Ld0",null,{"children":["$","$Ld2",null,{"children":["$","$Ld4",null,{"destinationTeamIdPromise":"$@d5","children":["$","$Ld7",null,{"visiblePromise":"$@d8","children":["$","div",null,{"className":"max-h-screen-patched min-h-screen-patched flex w-full flex-col overflow-auto bg-v0-background-200","vaul-drawer-wrapper":"","children":[["$","$3e",null,{"fallback":null,"children":"$Ld9"}],["$","$Lda",null,{}],["$","$Ldb",null,{}],["$","$3e",null,{"fallback":null,"children":["$","$Ldd",null,{}]}],["$","$Lde",null,{}],["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}],["$","$Ldf",null,{}]]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}] 46:o12c,98:["$","$L90",null,{"className":"$92","children":["$4e:props:children:1:props:notFound:0:props:fallback:props:children:0",["$","$L96",null,{"description":"This chat was deleted, made private, or no longer exists.","title":"Chat Not Found","children":null}]]}] b2:["$","$Le0",null,{"enabled":false}] 46:o20,bc:"$undefined" d8:true d9:null 46:o77,40:0 38:0 22:0 36:0 2c:0 41:60 38:T8,variants36:T8,variants1b:T8,variants40:T2,id36:T5,scope2c:T2,id1b:T5,scope36:T2,id46:oe62,e1:"RouteChatIdProvider" e2:I[903690,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$e1"] e3:"CompletionAttentionProvider" e4:I[607506,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79"],"$e3"] e5:"SidebarUIProvider" e6:I[475961,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79"],"$e5"] e9:"HeaderSlotClientRouter" ea:I[597544,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79"],"$e9"] eb:"/chat-static/_next/static/immutable/chunks/2_0wpkek6io0y.js" ec:I[32459,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$eb"],"default"] ed:I[990009,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79"],"Header"] ee:"RevalidateChatIdSkeletonStyles" ef:I[564011,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79"],"$ee"] f0:I[980088,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79"],"DynamicCMDK"] f1:"PromptQueueSnapshotProvider" f2:I[475641,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$f1"] f5:"ChatPromiseContextProvider" f6:I[850359,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$f5"] fe:I[70040,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"GitChatHeader"] ff:I[248643,["$3"],"IconMark"] 8e:null 46:o77d,44:["$","$Le2",null,{"children":["$","$Le4",null,{"children":["$","$Le6",null,{"children":[["$","$3e",null,{"fallback":null,"children":"$@e7"}],["$","$3e",null,{"children":"$Le8"}],false,false,["$","div",null,{"className":"isolate flex min-h-0 flex-1","children":[false,["$","div",null,{"className":"flex min-h-0 min-w-0 flex-1 flex-col","children":[["$","$Lea",null,{"headerSlot":["$","$L4",null,{"parallelRouterKey":"header","error":"$ec","errorStyles":[],"errorScripts":[["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/2_0wpkek6io0y.js","async":true,"nonce":"$undefined"}]],"template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}],"defaultSlot":["$","$Led",null,{}]}],["$","$L4",null,{"parallelRouterKey":"children","error":"$ec","errorStyles":"$44:props:children:props:children:props:children:4:props:children:1:props:children:0:props:headerSlot:props:errorStyles","errorScripts":"$44:props:children:props:children:props:children:4:props:children:1:props:children:0:props:headerSlot:props:errorScripts","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}],["$","$L4",null,{"parallelRouterKey":"content","error":"$ec","errorStyles":"$44:props:children:props:children:props:children:4:props:children:1:props:children:0:props:headerSlot:props:errorStyles","errorScripts":"$44:props:children:props:children:props:children:4:props:children:1:props:children:0:props:headerSlot:props:errorScripts","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}]]}],false,["$","$3e",null,{"children":["$","$Lef",null,{}]}],["$","$Lf0",null,{}]]}]}]}] 46:o16a,4f:["$","$Lf2",null,{"initial":{"chatId":"uE91JOYdNZV","snapshot":"$@f3"},"children":"$Lf4"}] 8d:["$","$Lf6",null,{"params":{"chatId":"uE91JOYdNZV"},"promises":{"attributes":"$@f7","externalMeta":"$@f8","latest":"$@f9","messagesRange":"$@fa","messages":"$@fb","template":"$@fc","gitStatus":"$@fd"},"children":["$","$Lfe",null,{"chatId":"uE91JOYdNZV"}]}] d5:null 46:o754,3f:[["$","title","0",{"children":"Resume previous tasks - v0 by Vercel"}],["$","meta","1",{"name":"description","content":"chat1> https://v0.app/chat/pvF6d98TtIp chat2> v0.app/chat/pdA1jm1baDV chat3> v0.app/chat/g4Vk3dpiZzw chat4> v0.app/chat/syujyqt9GVs chat5> v0.app/chat/fGSyErrgiUQ..."}],["$","link","2",{"rel":"manifest","href":"/manifest.json","crossOrigin":"$undefined"}],["$","link","3",{"rel":"canonical","href":"https://v0.app/chat/resume-previous-tasks-uE91JOYdNZV"}],["$","meta","4",{"property":"og:title","content":"Resume previous tasks - v0 by Vercel"}],["$","meta","5",{"property":"og:description","content":"chat1> https://v0.app/chat/pvF6d98TtIp chat2> v0.app/chat/pdA1jm1baDV chat3> v0.app/chat/g4Vk3dpiZzw chat4> v0.app/chat/syujyqt9GVs chat5> v0.app/chat/fGSyErrgiUQ..."}],["$","meta","6",{"property":"og:image","content":"https://v0.app/chat/api/og/uE91JOYdNZV"}],["$","meta","7",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","8",{"name":"twitter:title","content":"Resume previous tasks - v0 by Vercel"}],["$","meta","9",{"name":"twitter:description","content":"chat1> https://v0.app/chat/pvF6d98TtIp chat2> v0.app/chat/pdA1jm1baDV chat3> v0.app/chat/g4Vk3dpiZzw chat4> v0.app/chat/syujyqt9GVs chat5> v0.app/chat/fGSyErrgiUQ..."}],["$","meta","10",{"name":"twitter:image","content":"https://v0.app/chat/api/og/uE91JOYdNZV"}],["$","link","11",{"rel":"icon","href":"/assets/icon-light-32x32.png","media":"(prefers-color-scheme: light)","sizes":"32x32","type":"image/png"}],["$","link","12",{"rel":"icon","href":"/assets/icon-dark-32x32.png","media":"(prefers-color-scheme: dark)","sizes":"32x32","type":"image/png"}],["$","link","13",{"rel":"icon","href":"/assets/icon.svg","sizes":"32x32","type":"image/svg+xml"}],["$","link","14",{"rel":"apple-touch-icon","href":"/assets/apple-icon.png","type":"image/png"}],["$","$Lff","15",{}]] 46:o8,46:null 46:o81b,107:"ExplicitChatIdProvider" 108:I[903690,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$107"] 109:I[838238,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"SWRDataProvider"] 2c:T8,variants2c:T5,scopef7:{"ok":true,"value":{"designSystemId":null,"title":"Resume previous tasks","privacy":"public","access":1,"isAdmin":false,"isAuthor":false,"ownerId":"team_evkqTxNSy7lKrXjwadNjV9aX","tailwindV4Default":true,"nextVersionDefault":16,"nextVersion15Default":false,"forceVMRendering":false,"isNextLiteReadOnly":false,"canWriteToChat":false,"ownerRestriction":null,"canManageChat":false,"chatCreatedAt":1790530592191,"hasBlock":false,"vercelProject":null,"hasGitConnection":false,"gitBase":null,"gitHead":null,"hasSnowflakeIntegration":false,"chatHasAnySnowflakeIntegration":false,"storageEntityType":"v0-git","storageEntityId":"8he76pjc5o-3850/v0-resume-previous-tasks-uE91JOYdNZV","vercelProjectId":null,"defaultPreviewPath":null,"agentWorkspace":false,"workspaceRuntime":false}} f8:{"ok":false,"error":{"error":"Unauthorized","statusCode":401,"errorCode":"2"}} f9:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} fa:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} fb:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} fc:{"ok":false,"error":{"error":"Unauthorized","statusCode":401,"errorCode":"2"}} fd:{"ok":true,"value":null,"__seedOnly":true} e7:null 10b:[] 10c:[] 10d:[] 10e:[] 10f:[] 110:[] 111:[] 112:[] 113:[] 114:[] 115:T5f9,46:o5f9,Now I've gathered the original brief, the four default characters, the channel metadata blueprint, and the Omni Flash API docs. I'm considering whether there's any content filter concern here, but the task itself seems entirely benign—just a master prompt for a family-friendly scenario. Looking across the chats, each attempt wrote a huge master-prompt file with 60k+ output tokens, and each one got cut off at different points due to length or credit limits rather than genuine policy issues. If a filter did trigger, the likely cause would be a phrase in the character descriptions describing physical appearance a bit too much, or the redacted word in one prompt—but nothing here seems like it would warrant an actual block. I keep guessing at other 8-letter options like "personal" or "sisterly" but none quite fit better than "conspiratorial," so it's not worth dwelling on further. What matters more is that this is a legitimate family-safe Hindi comedy Shorts production task, not something requiring me to bypass any safety system — so I should just complete it with clearly appropriate content and tone down any overly body-focused language. I'll rebuild the whole structure since this is a fresh sandbox, and I already know the shape from prior attempts: fifteen files covering characters, channel bible, the omni rulebook, six steps, assembler, and UI components. I need to work in manageable chunks to avoid output-length limits, and let me check the rest of the Omni docs for specific prompting guidance. 46:o9,116:Tc4b,46:oc4b,Now I have everything I need pulled together: the original six-step brief, the four default characters, the channel metadata blueprint, and the Omni Flash documentation covering capabilities, prompting conventions, and limitations. Key technical points I need to capture in the rulebook: the model is gemini-omni-1.1-flash with native multimodal generation (video with audio built-in), 9:16 aspect ratio for Shorts, 720p default resolution with upscale options, and the fact that it defaults to multi-shot so I need to explicitly prompt for a single continuous shot when needed. I also need to note that negatives must be written inline in the prompt itself rather than as a separate parameter, that audio and sound need explicit natural-language description, timing can use either natural phrasing or timecode brackets, on-screen text needs to be quoted exactly as it should render, and reference images use simple start/end tags for character continuity. For the reference image tags specifically, I'm noting that Flow uses explicit declarations like tagging sources for a starting frame versus multiple reference images, with a suffix clarifying the images are references rather than literal first frames — and I should mention Flow's Ingredients and Frames-to-Video features in the UI. I also want to flag the language limitations: English works best, non-English languages have variable results, so for Hindi dialogue I should write it in Devanagari plus a transliteration plus an English gloss and explicitly state "spoken in Hindi." Finally, I need to note that voice editing and video extension aren't supported, so each generated clip is standalone. Regarding the earlier content-filter trip, this is a family-safe comedy channel task, so there's no reason to try to bypass anything — the likely cause was either output length or overly figure-focused phrasing in one character description. I'll keep the user's character material but tone down any physically-focused sentences into a more modest description centered on wardrobe and expression. Given past failures stemmed from output length, I should split the implementation across multiple moderate-sized files instead of one large file — planning roughly 14 files starting with the data layer. I'm mapping out the structure: character prompts, a channel-bible file distilling keywords/titles/hashtags/playlists from rankflow, an Omni Flash rulebook, a steps file with the six steps and gate logic, and an assembler that stitches everything into the master prompt with section breakdown and word count. Then I'll move on to the UI files. Then `app/page.tsx` pulls it together. Since the preview viewport runs in dark mode, I'm deciding to lean into a dark deep-brown theme with saffron accents rather than the cream-light palette, since that fits the channel colors while reading well against a dark system scheme. Actually, I could support both with CSS variables — cream tokens for light mode and deep-brown tokens under a dark media query or class. First I need to check the scaffold's existing globals.css, layout.tsx, and components before deciding the approach. 46:oa,117:T6715,46:o6715,With all fonts confirmed, I'm working out the color palette—saffron, cream, terracotta, and deep brown—and planning a theme system with dark mode (deep brown background, cream text, saffron accents) and a light variant (cream background, deep-brown text), defining tokens for both. For typography I'll stick to just two families, Bricolage Grotesque and JetBrains Mono, letting Devanagari text fall back to system fonts rather than adding a third family. Now I'm turning to the actual master prompt content itself, which needs to be thorough, self-contained, and enforce all six gated steps with Step 4 fully hardcoded, so I'm thinking through how to structure the string data cleanly without backtick conflicts. I'm outlining the master prompt's structure — defining the showrunner role, the strict six-step session rules requiring a step gate after each stage, and the accepted continuation commands like "NEXT" or "अगला". I'm also specifying quality priorities (retention, CTR, SEO), family-safety constraints, bilingual dialogue format, and requiring every output prompt to be self-contained within its own fenced code block using only the established channel facts. Tamasha, @HarGharTamasha, 288 subs, 43 Shorts, Hindi Entertainment channel with AI-generated realistic characters (disclosed on every upload), focused on Saas-Bahu comedy plus kitchen hacks — impossible ingredient to famous dish twists, kitchen disaster jugaad rescues, family nok-jhok reveals. Analyzing the top 6 vs bottom 6 videos shows a 55x view gap, with winners consistently using Devanagari titles, naming a family member, adding 😱, and tagging #shorts. Losers rely on English/Roman hooks and generic "hack/tip" framing without family conflict or #shorts tags. I'm setting a title formula under 100 characters with the hook in the first 40, plus hashtag tiers — three tags in the title (shorts, niche, dish) and up to nine in the description rotating through trending, food, and comedy tags. I'm also defining default tags with bilingual dish names, a description template, channel keywords, six bilingual playlists, and per-upload settings covering altered content flags, related videos, pinned Hindi comments, cover frame (the reveal shot), comments enabled, and daily publish timing. I'm establishing the cast and world — the Sharma Ji family in a warm Indian home kitchen with a saffron/cream/terracotta/deep brown palette and photorealistic cinematic look. Now I'm working through the Omni Flash rulebook: native audio generated alongside video, text rendering, and timing control, plus hard rules for every clip prompt — fixed durations of 4/6/8/10 seconds stated explicitly, 9:16 vertical aspect at 1080p, single continuous shots unless cuts are intentionally scripted with timecodes, and bracketed timecode syntax for every action and dialogue event. I'm also nailing down the dialogue pacing rules — Hindi speech at roughly 2–2.5 words/second, capping word counts per clip length, requiring silence buffers before and after speech, one speaker at a time, and formatting dialogue as Hindi Devanagari plus Roman transliteration plus English meaning with instructions for natural Indian-accented, lip-synced delivery. Then I'm covering audio cues (music style, energy, ducking, SFX timestamps, explicit "no extra sound" closers) and on-screen text requirements needing exact quoted text. Now I'm working through overlay rules — text placement in the top third to avoid the Shorts UI, emoji animation timing, and a standard block of negative prompts banning extra text, logos, watermarks, extra people, distorted hands, or morphing faces. I'm also setting character consistency rules using reference images as Ingredients or API reference tags, insisting each character be redescribed fully every time since the model won't remember, and keeping wardrobe/kitchen identical across clips. Finally I'm noting the language caveat that English is reliable but Hindi output can vary, so dialogue should stay short and simple with Roman transliteration provided as a fallback. Next I'm defining rules for clip transitions (matching last and first frames instead of extending video), content safety filtering, conversational editing phrasing, and the mandatory prompt structure order — attachments, clip header, scene, characters, then timeline. Then I'm noting Flow UI specifics: selecting the Omni Flash model, setting aspect ratio and duration, adding character images as Ingredients, and using "Frames to Video" for exact starting poses. After that come the default character definitions (Kamla, Mishti, Simran, Rohan) and the six-step gated process, starting with an Omni Flash readiness check. For Step 1, I'm revising it to acknowledge the hardcoded Rulebook, optionally check for doc updates if web access exists, summarize capabilities in a compact table, confirm the 4/6/8/10 duration options, then gate before proceeding. For Step 2, I'm working out how to generate 5 ranked ideas by combining channel winner patterns with either a live trend scan or a fallback festive calendar (Navratri, Karwa Chauth, Dussehra) anchored to the current date. I'm being careful about exact festival dates for 2026 since I'm not fully certain, so I'll frame it as a general upcoming festive window (Navratri → Dussehra → Karwa Chauth → Diwali, Oct–Nov) and instruct verification if web access is available, then define the output format per idea: rank, Hindi hook title, two-line premise, and the impossible-ingredient-to-dish concept. Next, I'm laying out the scorecard table scoring each idea on Retention, CTR, SEO, and Production-ease, followed by a gate prompting the user to pick an idea number. Then for Step 3, I'm designing the script structure — total runtime, clip plan with durations, and a beat sheet covering hook, setup, escalation, twist, reveal, and loop-back, with each line formatted in Hindi, Roman, and English plus on-screen text and emoji per beat. Moving into Step 4, I'm defining the hardcoded production package: selecting characters (with full image prompts for any new ones in the fixed style), generating element image prompts for props/dishes/kitchen set self-contained in 9:16, and then for every clip specifying an attachments block naming exactly which images to use and how, followed by the clip prompt itself. The clip prompt is a fenced code block following R14 structure, fully timecoded with dialogue budget enforced, generic SFX naming (whoosh, ding, dhol beat, etc.), overlay text and emoji timing, and dialogue length validated against duration. I'm also adding an assembly sheet table for clip sequencing and a 12-point self-check checklist before the gate, then moving into Step 5's upload package built strictly from the Channel Bible. Now I'm detailing the rest of Step 5: title formula with hashtags and hook, alt titles, bilingual description with hashtags and playlists, tag list under 500 characters, pinned comment, a settings checklist (altered content, language, category, scheduling), cover frame selection, and a first-hour engagement plan — then the gate. Step 6 starts the cover image prompt, a single 9:16 1080×1920 composition using exact character descriptions for a reveal-frame shot of the finished dish with a shocked face and text overlay. I'm mapping out how to organize the actual file output — splitting the prompt content across four files (characters, channel bible, omni rulebook, and steps) so each write stays manageable, then kicking off with Step 1. Writing character type definitions... Now drafting the four character profiles — Kamla, Mishti, Simran, and Rohan — refining the image prompt descriptions to keep them tasteful while capturing the physical and personality details the user specified for each. I'm finalizing the prompt with an emphasis on originality — no resemblance to real people or existing characters — and adjusting wording to keep the styling casual and everyday rather than overly polished, dropping the figure-description line entirely. For Mishti, I'm swapping in "conspiratorial" as the tone descriptor, then moving on to define the channel bible export. Now I'm structuring the remaining exports: the omni rulebook, session rules, step gate, and the full steps array with numbered titles, outputs, and bodies, plus a kickoff message. I'm assembling all these pieces into a master prompt with header, sections, and computed word/character stats, then shifting to build the UI starting with a client-side copy button component. Adding more components... Now I'm defining the theme tokens: cream/saffron/terracotta palette for light mode and deep brown for dark mode, setting background, foreground, card, primary, and secondary colors using oklch values. Finishing up the muted/accent/border color tokens, then setting the font variables for sans and mono. I should also add baseline security headers to next.config.mjs and set the page metadata title and description, then move on to drafting the actual session rules content carefully since Step 4 needs thorough attention. I'm now drafting the master prompt itself, starting with the title "Har Ghar Tamasha — Master Prompt" and its versioning info, then outlining the showrunner role as a blend of a Shorts growth strategist, a Hindi family-comedy writer, and an AI film director. I'm also laying out the strict session rules — the six-step sequence must run in order without skipping, each step ends with a gate that pauses for user confirmation before continuing, and any requested changes trigger a full revision of the current step rather than moving forward. I'm noting the priority order for judging deliverables, starting with retention as the top metric. Each prompt should be fully self-contained with complete character descriptions repeated in full, no shorthand or placeholders, and placed alone in its own fenced code block for easy copying. I should rely only on the hardcoded facts from the Channel Bible, Omni Flash Rulebook, and Default Characters, optionally checking for fresh trends if I have web access, and clearly flag when I don't rather than inventing capabilities. I'll keep commentary brief per step and write explanations in English with natural Hindi mixed in where useful. I'm now defining the step-gate format that prints exactly after each step, showing scores for retention, CTR, and Shorts SEO, along with a prompt to reply NEXT or request changes — noting Step 2 requires picking an idea number instead. I'm also setting up the Channel Bible content that follows. Then I recall the hardcoded channel facts: Har Ghar Tamasha, @HarGharTamasha, 288 subscribers, 43 Shorts, India-based, Hindi language, Entertainment category, not for kids, with realistic AI-generated characters marked as synthetic content. The niche centers on saas-bahu comedy and kitchen hacks set in Sharma Ji's warm home kitchen. Signature formats include impossible-ingredient-to-famous-dish transformations, kitchen-disaster jugaad rescues, and family nok-jhok that ends in a mithai reveal, all shot in a fixed photorealistic cinematic style with warm saffron-cream-terracotta tones. Looking at performance, the top six Shorts average 12K views versus just 220 for the bottom six — a 55x gap despite identical characters and style, pointing to hook and title patterns as the real differentiator. Winners share clear traits: all use Devanagari titles, most name a specific family member (सास, बहू, ताऊजी, शर्मा जी), most include 😱, all use #shorts, and mithai/halwai transformation stories dominate the top performers. Losers tend to use English or Roman-script hooks, generic hack framing without family conflict, or skip #shorts entirely — so the rule I'm deriving is that every idea needs a Devanagari hook plus a named family member reacting. Now I'm building the title formula: an impossible-ingredient-to-famous-dish hook in the first 40 characters, naming one family member, using exactly one shock emoji, adding the English dish name after a pipe for Roman-script search, and closing with exactly three hashtags (#shorts, a niche tag, and the dish tag). I'm also mapping out the hashtag system with a hard 15-tag cap—three in the title, up to nine rotating ones in the description (like #viral, #trending, #food, #comedy)—plus a default tag list starting with "saas bahu comedy, saas bahu kitchen" that I'll append dish names to in both Hindi and English, keeping it under 500 characters. Then I'm drafting the description template: line one leads with the Hindi hook plus English dish name and the channel tagline "Saas Bahu Comedy | Har Ghar Tamasha," line two gives a one-sentence summary of the twist ending with "Full recipe/hack below 👇," followed by a recipe block starting with the dish emoji and name in Hindi. I'm also planning the recurring blocks below the recipe: an ingredients and steps section, a subscribe call-to-action mentioning that characters are AI-generated but recipes/hacks are real, playlist links for both Saas Bahu Comedy and Kitchen Hacks, and a closing line with up to nine hashtags plus the dish hashtag. Now I'm moving into outlining the playlist structure, noting every Short needs to be assigned to at least one playlist. I'm expanding the keyword list to cover kitchen hacks, comedy, and recipe terms in both Hindi and English, then noting per-upload conventions like marking content as altered, using three hashtags in the title, and capping total hashtags at fifteen. Beyond that, I'm defining consistency habits: linking to the best related Short on the same dish, pinning a Hindi comment with the recipe or hack, choosing a cover frame that shows the reveal moment, keeping comments enabled, and posting one Short daily at a consistent time. Now I'm shifting to research the Omni rulebook, starting with what Gemini Omni Flash actually is — Google's native multimodal video model inside Google Flow that generates video and audio together, including dialogue and music. I'm listing the hard rules for clip prompts: duration must be explicitly stated as one of four fixed lengths (with total Short duration targeted around 28-44s), format must always be specified as vertical 9:16, and I'm about to note the rule on shot composition. Since Omni Flash defaults to multi-shot cuts, I need to explicitly request "single continuous shot, no scene cuts" for clean clips, or script each cut with timecodes if desired. I'm also defining the bracket-syntax convention for timecoding every action, dialogue, and sound effect, plus a dialogue word budget based on natural Hindi speech pace to cap word counts per clip length. Now I'm laying out the silence padding requirements around speech, single-speaker rules, and the trilingual dialogue format (Devanagari, Roman, English) with instructions for natural conversational delivery and lip-sync. I'm also specifying how audio should be described — music style, ducking behavior, and named SFX with timecodes. For the on-screen text rules, I'm defining quoted text cards limited to four words, positioned in the top third to avoid Shorts UI overlap, with font, color, and animation specs, plus emoji overlays placed near text but never on faces. Then I'm moving into how negative prompts should be embedded directly into the prompt text rather than as a separate field, starting with restrictions on extra text and logos. For character consistency, I need to attach reference images through Ingredients or API tags, note that these shouldn't be treated as literal first frames, and repeat full character descriptions in every clip prompt to maintain visual continuity across face, wardrobe, and setting. For an exact opening pose I'd use Frames to Video with a still image as the starting frame. Finally, I'm noting the language caveat that English is fully supported while Hindi works but isn't officially evaluated, so lines should stay short. For Hindi, I should use common words, pair Devanagari with Roman transliteration, and explicitly say "Hindi language" in the prompt, regenerating or using a targeted edit prompt if lip-sync drifts. Since the API can't extend or interpolate between clips, each clip must stand alone, so I need to design matching last/first frames across clips for clean cuts, and remember that outputs are filtered for safety, watermarked with SynthID, and must use only fictional characters with proper disclosure for altered content. I'm also outlining the mandatory prompt structure: simple edit prompts for fixing details like on-screen text, followed by a strict order of headings for every clip prompt — attachments, clip header, scene, characters, timeline, audio summary, negatives, and continuity. I'm laying out the Flow workflow steps: setting up the project with the right model, aspect ratio, and duration, uploading character/element images as ingredients, pasting the clip prompt and generating variations to pick the best lip-sync, using edit prompts for small fixes instead of full rewrites, then assembling clips in order with audio already baked in. I'm about to work out a helper for timing dialogue to seconds. I'm calculating the timing formula for dialogue lines using lead-in, word count, and tail padding, with a worked example converting a nine-word line into seconds to check it fits a six-second clip, and noting this math should be shown once per clip. Now I'm moving into the default characters section, which needs a shared style block for the warm-lit Indian home kitchen setting that every character, element, and cover prompt should reference. I'm defining the fixed photorealistic style — full-frame cinema lenses, shallow depth of field, golden kitchen light, saffron/cream/terracotta palette, gentle grain — along with explicit exclusions like no CGI, cartoon, extra fingers, or watermarks. Then I'm laying out the four core characters (Kamla the saas, Mishti the bahu, Simran the nanad, Rohan the devar) each with their own prompt block, before transitioning into the six-step production process starting with Step 1. Now I'm working out how to confirm Omni/Flash readiness: checking web access for the latest docs, noting any contradictions with the earlier rulebook section, and printing a compact capability table covering native audio, dialogue, music, SFX, on-screen text, timing control, reference images, aspect ratio, and clip durations, with a line on how each will be used for this channel. I'm listing rules R1–R14 as quick reminders, adding the dialogue word-budget table across durations, confirming the fixed style block and four default characters, then printing the step gate before moving to Step 2: generating five ranked content ideas with scorecards based on a trend scan across Shorts, Reels, and Google Trends for relevant Hindi comedy and food content categories, including upcoming festivals. I'm outlining the fallback trend list (festival mithai, halwai secrets, leftover jugaad recipes, pressure-cooker suspense, kitchen tool myths) and setting the requirement that each of the five kept ideas needs a Devanagari hook in the first 40 characters and a named family member role. Then I'm structuring the output format: rank and title with character count, a two-line premise in Hindi and English, the impossible-ingredient-to-dish or disaster-to-jugaad mechanic, the conflict and reveal detailing who's shocked and what shows on the plate, and retention devices like the 0-2 second visual hook and pattern interrupts every 5-7 seconds — ranked by a weighted score of 50% retention, 30% CTR, 20% SEO. I'm also adding CTR elements (cover frame, emoji, curiosity gap), SEO details (keyword, hashtags, playlist), cast assignments from default or new characters, and a full scorecard across retention, CTR, SEO, and production ease, ending with a one-line recommendation and a step gate asking the user to pick idea 1-5. After that, Step 3 moves into producing the shot-ready script for whichever idea gets chosen. For the script, I'm defining the runtime rules: total length 28-44 seconds split into 4/6/8/10-second clips with a cumulative timeline, plus a beat structure with target timestamps for the hook, setup, escalation, twist, reveal, and loop-back, and formatting every line of dialogue with speaker name, Roman transliteration, English translation, and stage direction. I'm adding requirements for camera details, on-screen text cards, emoji overlays, SFX cues, and music states for each beat, plus retention checkpoints at key seconds, a note that the recipe must be real and achievable, and a rule banning spoken CTAs in favor of a pinned comment and loop. Then I need to print the step gate and move into Step 4, the production package. For 4A, I'm laying out the character sheet requirements: listing every character, pasting unchanged image prompts for default characters plus new full prompts for any new ones (with all the same specs — age, face, hair, wardrobe, expression, kitchen, style block, originality line), and adding a one-line voice note per character describing pitch, pace, energy, and accent for the voice engine. For 4B, I'm specifying self-contained element image prompts for each key prop or dish state — the raw ingredient, mid-process, finished plating, and special props like the cooker or phone — all keeping the same kitchen and lighting with the style block appended, labeled with names like IMG-ELEM-01 so later clip prompts can reference them. Now moving into 4C, I'm starting to define clip prompts for each clip in the plan, noting that an attachment reference needs to go above every clip prompt. Continuing to detail the SCENE and CHARACTERS fields, then laying out the TIMELINE requirement with bracketed timecodes covering every event from start to end — silence lead-ins, Hindi dialogue with Devanagari script plus Roman transliteration and English gloss, SFX cues, and music beds, all synced precisely to the clip's duration. I'm also specifying the on-screen TEXT overlay (short phrase, position, animation), an EMOJI pop-in, and mandatory tail silence, followed by a dialogue budget check to ensure word count and pauses fit the total runtime, an audio summary confirming no stray sounds, a strict negatives list barring subtitles/logos/watermarks/distortions, and a continuity note describing the exact final frame. Then I'm assembling a table mapping each clip's duration, timestamps, first/last frame, transition type, and music state, ensuring totals match the overall runtime, followed by a self-check checklist verifying every rule was followed before moving forward. Finishing the checklist with loop-back to the opening frame, family-safe content with no real people or brands, and confirming the recipe/hack is genuinely achievable, then moving to Step 5: the upload package with title formula, character count, alternates, and description template. Continuing with tags (24 defaults plus dish name in both languages, ≤500 chars), pinned comment in Hindi with 4-6 lines ending in a question, and the settings checklist covering language, category, comments, related video, playlists, and schedule. Then I'm outlining the cover frame choice with reasoning, the first-60-minutes engagement plan (reply templates, community post, loop check), and the STEP GATE stop. Moving into Step 6, I'm drafting the main and alternate 9:16 cover image prompts, focusing the composition on the reveal moment with the finished dish and shocked face placement. I'm closing out the prompt with instructions to reply RESTART or REDO N, then noting I need to be careful with TypeScript template literals so the curly-brace placeholders and Hindi text don't break when I write the actual files. Now I'm setting up the warm color theme in globals.css, mapping saffron and terracotta to the shadcn token structure and adding the Bricolage Grotesque and JetBrains Mono font variables, then wiring those fonts into layout.tsx. I'm also drafting the page metadata—title, description, and theme colors for light/dark—and building a reusable copy-button component with a clipboard state toggle using lucide icons. Finishing the fallback copy logic... For the header I'm having it render the CopyButton next to MASTER_PROMPT, and hero.tsx pulls stats from assemble.ts like word count, sections, gates, and characters. I'm also designing prompt-section.tsx as a collapsible details/summary element with a kicker, title, chevron, and a copy button in the header row, though I need to be careful since a summary must be the first child of details and clicking the copy button shouldn't accidentally trigger the toggle. I'm restructuring so the title and copy button sit in a header outside the details element entirely, avoiding click-propagation issues, while the details element itself just holds a "show/hide" summary and the body content. Writing layout structure... For step-cards.tsx, I'm thinking through a simple grid of six cards drawn from the STEPS data, keeping them purely informative rather than duplicating the copy functionality already handled in the sections above. For character-cards.tsx, I'm planning four cards showing each character's name in Hindi and Roman script, their role and age, trait chips, and a collapsible prompt with copy. For run-guide.tsx, I'm laying out four numbered steps guiding the user through copying the master prompt into a fresh AI chat, typing NEXT after each gate and picking an idea number, generating and saving images per the naming convention, then assembling everything in Flow with the right aspect ratio, ingredients, and clip prompts before uploading. Now I'm assembling page.tsx to compose all the pieces together — header, hero, run guide, master prompt panel, step cards, prompt sections, character cards, and footer — while double-checking that Hindi text renders properly with font fallbacks. Writing assemble logic... Adding remaining sections... I'll also export step metadata for cards and stats for word/character counts, then move on to writing the actual data and UI files, starting with the five data files before the nine UI ones. Given the risk of getting cut off from a large single output, I'll split this into two batches -- data files first, then UI files. 46:o79ca,f4:["$","$Lf6",null,{"params":{"chatId":"uE91JOYdNZV"},"promises":{"attributes":"$@100","externalMeta":"$@101","latest":"$@102","messagesRange":"$@103","messages":"$@104","template":"$@105","gitStatus":"$@106"},"children":["$","$L108",null,{"chatId":"uE91JOYdNZV","children":["$","$L109",null,{"seedOnlyKeys":["@\"chat:state\",\"uE91JOYdNZV\","],"data":{"block:output:initial":null,"/chat/api/snapshots/proxy?chatId=uE91JOYdNZV&messageId=eXhmdqeE5IeQNS7ze0wczT908kxF003z&v=v2":"$@10a","@\"block:mappings\",\"uE91JOYdNZV\",":{"sqlBlockExecutionStates":"$Q10b","blocksForkedFrom":"$Q10c","blocksTemplateIds":"$Q10d","blocksCreatedAt":"$Q10e","blocksShared":"$Q10f","blocksDeployed":"$Q110","blocksSubdomains":"$Q111","brandedBlocks":"$Q112","unlistedBlocks":"$Q113","blockOutputs":"$Q114"},"@\"chat:state\",\"uE91JOYdNZV\",":{"messages":[{"content":{"type":"parts","parts":[],"version":1},"role":"user","id":"0RY3uxltPffJpD1zcy0nT87JXBGqZbpf","type":"message","isContentLoading":true,"authorId":"","createdAt":"$D2026-09-27T17:36:31.314Z"},{"content":{"type":"message-binary-format","value":[[0,[["p",{},["text",{},"Loading..."]]]],[1,{"title":"Loading message"}]]},"loadingBlocks":[],"isContentLoading":true,"role":"assistant","id":"YO0pw7kPqYegc0nbyF96o8GSz5Cz70Nn","gitRevision":{"headSha":"b4502eff9b1f5bae51a54aeafb7de4af448a8c54","readyAt":"2026-09-27T17:36:46.087Z","version":1,"commitMessage":"Initial commit from v0\n\nV0-Initial-Commit: v1"},"streaming":false,"finishReason":"stop","parentId":"0RY3uxltPffJpD1zcy0nT87JXBGqZbpf","type":"message","createdAt":"$D2026-09-27T17:36:31.315Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"please check the below error reason and complete the task by bypassing it>\n\nTask stopped\nThe task was stopped due to content filter restrictions."}],"version":1},"role":"user","id":"sXA1sOPRWZ4e1St9azSsE9xUpxNjI9cI","attachments":[],"parentId":"YO0pw7kPqYegc0nbyF96o8GSz5Cz70Nn","type":"message","authorId":"OvhPUfvAh1rnUp5In7h6ohGg","createdAt":"$D2026-09-27T17:36:49.760Z"},{"v0ModelId":"anthropic/claude-fable-5.1","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1790530628483,"finishedAt":1790530628483,"lastPartSentAt":1790530628483,"id":"i4OkJ0J0ZKK5ztHM","type":"task-stopped-v1","parts":[{"type":"orchestrator-error","reason":"CONTENT_FILTER"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"wHJqMqVK7ba0dK8QBqfupjlPOMMFX03O","gitRevision":null,"streaming":false,"finishReason":"other","parentId":"sXA1sOPRWZ4e1St9azSsE9xUpxNjI9cI","type":"message","creditCost":0.241849,"workMetrics":{"diffMap":{}},"modelSettings":{"reasoningEffort":"max","supportedReasoningEfforts":["low","medium","high","xhigh","max"]},"createdAt":"$D2026-09-27T17:36:49.761Z","updatedAt":"$D2026-09-27T17:37:08.706Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"please check the below error reason and complete the task by bypassing it>\n\nTask stopped\nThe task was stopped due to content filter restrictions."}],"version":1},"role":"user","id":"IivLvEM2r7p0WzPd6aCDST86txGi1bYn","attachments":[],"parentId":"wHJqMqVK7ba0dK8QBqfupjlPOMMFX03O","type":"message","authorId":"OvhPUfvAh1rnUp5In7h6ohGg","createdAt":"$D2026-09-27T17:37:27.164Z"},{"v0ModelId":"anthropic/claude-fable-5.1","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1790530655624,"finishedAt":1790530655636,"lastPartSentAt":1790530655636,"taskNameActive":null,"id":"irGN5O0CdnOHXzm8","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"The user is sharing six chat URLs and asking me to read the previous conversations, resume a task that's \"already running,\" and provide the final output — while also asking me to bypass a content filter that stopped the task. That's a clear warning sign, so I want to understand what the actual underlying task is before deciding how to respond.\n\nI'll check memory files and the project directory first, then look into whether I can access those previous chats through available tools.\n\n"}]}}],["p",{},["text",{},"I'll start by checking my memory and the current project state, then look up the referenced chats."]],["AssistantMessageContentPart",{"part":{"createdAt":1790530655678,"finishedAt":1790530656126,"lastPartSentAt":1790530656126,"taskNameActive":"Checking memory files","taskNameComplete":"Checked memory files","toolCallId":"toolu_01VuRLRHq2xbASqi3BATJfM6","agentTurnId":"turn_TUDlC5TvHbJcz3B8","filePath":null,"id":"GzSz8NMFdVaylTnW","type":"task-ls-repo-v1","parts":[{"type":"ls"},{"type":"ls-results","numFiles":0}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530658308,"finishedAt":1790530660050,"lastPartSentAt":1790530659869,"taskNameActive":"Inspecting project directory","taskNameComplete":"Inspected project directory","toolCallId":"toolu_012CGHyJnivpHDUwMtsuwdTB","agentTurnId":"turn_TUDlC5TvHbJcz3B8","filePath":null,"id":"6Kt4xuRSdsuKgwIU","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && ls -la && echo \"---PKG---\" && cat package.json 2>/dev/null | head -60"}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_e4e4c616bb5b452db27478dc4815","taskId":"bash_cmd_e4e4c616bb5b452db27478dc4815"},"id":"2yzZdVgaQJqjr4NN"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"total 152\ndrwxr-xr-x 9 vercel-sandbox vercel-sandbox 336 Sep 27 17:36 .\ndrwxr-xr-x 10 vercel-sandbox vercel-sandbox 260 Sep 27 17:36 ..\n-rw-r--r-- 1 vercel-sandbox vercel-sandbox 372 Sep 27 17:36 .env.development.local\ndrwxr-xr-x 7 ve\n\n...\n\ns\": \"^1.4.0\"\n },\n \"devDependencies\": {\n \"@tailwindcss/postcss\": \"^4.3.3\",\n \"@types/node\": \"^24\",\n \"@types/react\": \"^19\",\n \"@types/react-dom\": \"^19\",\n \"postcss\": \"^8.5\",\n \"tailwindcss\": \"^4.3.3\",\n \"typescript\": \"5.7.3\"\n }\n}\n"},"id":"XwYrob5PVmeSeiHl"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530665073,"finishedAt":1790530665085,"lastPartSentAt":1790530665085,"taskNameActive":null,"id":"OvDL8rmLJxezXGV6","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"This is a fresh Next.js starter with no memory files, so I should check the v0 tools to see if there's any previous chat history I can reference.\n\n"}]}}],["p",{},["text",{},"This is a fresh starter project with no memory. Let me find the v0 tools to read the referenced chats."]],["AssistantMessageContentPart",{"part":{"createdAt":1790530674024,"finishedAt":1790530685271,"lastPartSentAt":1790530685271,"taskNameActive":null,"id":"M2S7oe32xOGghWcp","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need a tool to fetch a chat by ID and list its messages, so let me search for that more specifically.\n\n"},{"type":"thinking-end","duration":11,"thought":"I have a tool to list messages in a chat, so I'll fetch all six chats' messages in parallel to understand what each task involves, starting by identifying the chat IDs I need to query.\n\n"}]}}],["p",{},["text",{},"Found the tool to list chat messages. Reading all six referenced chats in parallel"]],["AssistantMessageContentPart",{"part":{"createdAt":1790530687045,"finishedAt":1790530696838,"lastPartSentAt":1790530696633,"taskNameActive":"Reading chat 1","taskNameComplete":"Read chat 1","toolCallId":"toolu_01ScxmXRJVF1c3tEpp4SRiqF","agentTurnId":"turn_d2Ls5KGaJTcpnIN8","mcpName":"v0","filePath":null,"id":"r0P2QbuX5mWfUnEU","type":"task-dynamic-tool-v1","parts":[{"type":"starting-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7","input":{"chatId":"pvF6d98TtIp","limit":100},"permissionPrompt":"Read-only: listing messages in chat pvF6d98TtIp to understand the previous task context."},{"type":"finished-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530688605,"finishedAt":1790530696942,"lastPartSentAt":1790530696642,"taskNameActive":"Reading chat 2","taskNameComplete":"Read chat 2","toolCallId":"toolu_01MM15vGsP5oYhyoukLhK8nW","agentTurnId":"turn_d2Ls5KGaJTcpnIN8","mcpName":"v0","filePath":null,"id":"rQqCKg9zrZJ9FH6M","type":"task-dynamic-tool-v1","parts":[{"type":"starting-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7","input":{"chatId":"pdA1jm1baDV","limit":100},"permissionPrompt":"Read-only: listing messages in chat pdA1jm1baDV to understand the previous task context."},{"type":"finished-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530690590,"finishedAt":1790530696953,"lastPartSentAt":1790530696638,"taskNameActive":"Reading chat 3","taskNameComplete":"Read chat 3","toolCallId":"toolu_01EsBkt45eaRQGLL7jddd6eP","agentTurnId":"turn_d2Ls5KGaJTcpnIN8","mcpName":"v0","filePath":null,"id":"FFvF6hUouGz9CV9j","type":"task-dynamic-tool-v1","parts":[{"type":"starting-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7","input":{"chatId":"g4Vk3dpiZzw","limit":100},"permissionPrompt":"Read-only: listing messages in chat g4Vk3dpiZzw to understand the previous task context."},{"type":"finished-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530692343,"finishedAt":1790530696955,"lastPartSentAt":1790530696708,"taskNameActive":"Reading chat 4","taskNameComplete":"Read chat 4","toolCallId":"toolu_01E6WVDe5UrFuP37GNXieLFf","agentTurnId":"turn_d2Ls5KGaJTcpnIN8","mcpName":"v0","filePath":null,"id":"zNva8LEqvwRlmxz6","type":"task-dynamic-tool-v1","parts":[{"type":"starting-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7","input":{"chatId":"syujyqt9GVs","limit":100},"permissionPrompt":"Read-only: listing messages in chat syujyqt9GVs to understand the previous task context."},{"type":"finished-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530693879,"finishedAt":1790530697450,"lastPartSentAt":1790530697371,"taskNameActive":"Reading chat 5","taskNameComplete":"Read chat 5","toolCallId":"toolu_01SbvFdMDugvQ3uHbBSzigMW","agentTurnId":"turn_d2Ls5KGaJTcpnIN8","mcpName":"v0","filePath":null,"id":"0RHkejqDTeHPCJYP","type":"task-dynamic-tool-v1","parts":[{"type":"starting-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7","input":{"chatId":"fGSyErrgiUQ","limit":100},"permissionPrompt":"Read-only: listing messages in chat fGSyErrgiUQ to understand the previous task context."},{"type":"finished-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530695354,"finishedAt":1790530697404,"lastPartSentAt":1790530697333,"taskNameActive":"Reading chat 6","taskNameComplete":"Read chat 6","toolCallId":"toolu_012rCxGQ3TqHkQp8o2KUPByv","agentTurnId":"turn_d2Ls5KGaJTcpnIN8","mcpName":"v0","filePath":null,"id":"cxRVQ5WP0NOdipQw","type":"task-dynamic-tool-v1","parts":[{"type":"starting-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7","input":{"chatId":"fTYTYtGuw9i","limit":100},"permissionPrompt":"Read-only: listing messages in chat fTYTYtGuw9i to understand the previous task context."},{"type":"finished-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530707387,"finishedAt":1790530708639,"lastPartSentAt":1790530708639,"taskNameActive":null,"id":"3XVxEtbKE8knOht9","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I'm piecing together that this is a chain of resumption attempts for building a master prompt page for \"@HarGharTamasha,\" a Hindi family comedy YouTube Shorts channel, using Google Flow's Omni Flash video model. The earlier \"content filter\" stops seem more about output length limits than actual problematic content, since this is family-safe comedy material, and each prior attempt ran in its own isolated session.\n\nI want to go back and read the original brief from the first chat in full, so I'm pulling up the saved file from that session.\n\n"},{"type":"thinking-end","duration":1,"thought":"This looks like a series of resumed attempts to build a master prompt page for a Hindi family-comedy YouTube Shorts channel. I'll now read the original brief in chat 1 in full to pin down the exact requirements.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530708651,"finishedAt":1790530709003,"lastPartSentAt":null,"taskNameActive":"Reading chat 1 details","taskNameComplete":"Read chat 1 details","toolCallId":"toolu_01AXcY1SbfS3y3GB7zFYZfMb","agentTurnId":"turn_UalVrvck2Vh21pJI","filePath":null,"id":"ok2cWsRaorleiNrG","type":"task-read-file-v1","parts":[]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530716669,"finishedAt":1790530716690,"lastPartSentAt":1790530716690,"taskNameActive":null,"id":"IaiHDZ64S48kHtmb","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I need to locate the original user message in chat 1, which is likely near the end of the file since messages are listed newest-first, so I'll check lines 375 to 492.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530716988,"finishedAt":1790530717390,"lastPartSentAt":1790530717389,"taskNameActive":"Reading original brief","taskNameComplete":"Read original brief","toolCallId":"toolu_01E245tbGbvPh2o82Dg8FZuE","agentTurnId":"turn_gz6spxHvQz6ZsOd5","filePath":null,"id":"KprUUQWkH8R4Rfq6","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/reading-chat-1-v0-messages-list-t32-xqzfy7-zai-b0-7-umgk.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/reading-chat-1-v0-messages-list-t32-xqzfy7-zai-b0-7-umgk.txt","offset":374,"limit":118}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530724061,"finishedAt":1790530748694,"lastPartSentAt":1790530748694,"taskNameActive":null,"id":"uWfs38Nvuz8RpQOT","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":10,"thought":"Looking at the brief, this is a genuinely benign task—a master prompt page for a family-safe Hindi comedy YouTube Shorts channel. The earlier stops likely weren't content-filter issues but hitting output-length budget caps, so the real fix is writing compact, complete files rather than sprawling ones.\n\nI have the pasted default characters attachment, channel metadata from rankflow-kohl.vercel.app, and a summary of the Omni Flash docs rules from prior attempts. Chat 5 was the most complete run, producing 15 files that passed type-check, so I'm checking if there's a way to retrieve its actual file contents directly rather than reconstructing everything from scratch.\n\n"},{"type":"thinking-end","duration":10,"thought":"The brief itself is straightforward, but past attempts kept hitting the 5-credit cap due to inefficient file writing. I'll check if chat 5's more complete, type-checked attempt has files I can reuse.\n\n"},{"type":"thinking-end","duration":15,"thought":"That search didn't turn up `v0_chats_get`, so I'll try a different query like \"getById\" or \"find chat\" instead.\n\n"},{"type":"thinking-end","duration":25,"thought":"Since I can't find the v0_chats_get tool through search, I'll skip further hunting and just gather the remaining inputs directly—the default characters attachment and channel metadata site—recalling the Omni Flash rules already established in chat 1 around clip lengths, aspect ratio, audio, and on-screen text.\n\nI'll bundle the attachment fetch, the rankflow site, and a quick check of the Gemini API omni docs for accuracy on limits into a single WebFetch call to save budget.\n\n"},{"type":"thinking-end","duration":25,"thought":"The chats-get tool isn't showing up, but I already have the key brief details, so I'll move on to fetching the default-characters attachment, channel metadata, and the official Omni doc for accurate limits.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530750041,"finishedAt":1790530750680,"lastPartSentAt":1790530750678,"taskNameActive":"Fetching source material","taskNameComplete":"Fetched source material","toolCallId":"toolu_01YF11mUbi5oEieiPvQh8RTe","agentTurnId":"turn_7uPgdIlrJzYhhfZy","filePath":null,"id":"orebiX235CPHZ49t","type":"task-fetch-from-web-v1","parts":[{"type":"starting-fetch-from-web","url":"https://hebbkx1anhila5yf.public.blob.vercel-storage.com/%5BPasted%2033%20lines%5D-RSC6ddJvlBBVvKT0bTEwHnYZOYq0wq"},{"type":"starting-fetch-from-web","url":"https://rankflow-kohl.vercel.app/"},{"type":"starting-fetch-from-web","url":"https://ai.google.dev/gemini-api/docs/omni"},{"type":"finished-fetch-from-web","url":"https://hebbkx1anhila5yf.public.blob.vercel-storage.com/%5BPasted%2033%20lines%5D-RSC6ddJvlBBVvKT0bTEwHnYZOYq0wq","favicon":null,"image":null,"title":"","publishedDate":null},{"type":"finished-fetch-from-web","url":"https://rankflow-kohl.vercel.app/","favicon":"https://xurtccytrzafbfk3.public.blob.vercel-storage.com/agent-assets/38a87367bb4fde9b07251a67e291f7d93c70468a787a7859a71ab1a6234c9439.png","image":null,"title":"Har Ghar Tamasha · YouTube SEO Metadata Blueprint","publishedDate":null},{"type":"finished-fetch-from-web","url":"https://ai.google.dev/gemini-api/docs/omni","favicon":null,"image":"https://xurtccytrzafbfk3.public.blob.vercel-storage.com/agent-assets/c81f90a6d7fd0ac30765c2c90fbeec76b3e9db2330dc09daa4fa2b39f7721881.png","title":"Generate and edit videos with Gemini Omni Flash | Gemini API | Google AI for Developers","publishedDate":null}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530758733,"finishedAt":1790530780227,"lastPartSentAt":1790530780227,"taskNameActive":null,"id":"HZSrVxO3UJNcqqs3","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":21,"thought":"$115"},{"type":"thinking-end","duration":21,"thought":"I've gathered the brief, characters, channel blueprint, and page 1 of the Omni docs. Now I'll pull the remaining Omni guidance on duration, dialogue, text, and timing, plus the rest of the blueprint.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530780652,"finishedAt":1790530786511,"lastPartSentAt":1790530786509,"taskNameActive":"Fetching Omni prompting docs","taskNameComplete":"Fetched Omni prompting docs","toolCallId":"toolu_01HyVdFPVES4JZvZPADsuTg5","agentTurnId":"turn_orQPKJdAJtdHGnxg","filePath":null,"id":"wddPQQnaQ8b3dtx7","type":"task-fetch-from-web-v1","parts":[{"type":"starting-fetch-from-web","url":"https://ai.google.dev/gemini-api/docs/omni?v0Page=2"},{"type":"starting-fetch-from-web","url":"https://ai.google.dev/gemini-api/docs/omni?v0Page=3"},{"type":"starting-fetch-from-web","url":"https://rankflow-kohl.vercel.app/?v0Page=2"},{"type":"finished-fetch-from-web","url":"https://ai.google.dev/gemini-api/docs/omni?v0Page=2","favicon":"https://xurtccytrzafbfk3.public.blob.vercel-storage.com/agent-assets/a69fa67d8a9e34c9f1dd367d6efa0bf7f75ad8f00badc5a5362cf4386efd9088.png","image":"https://xurtccytrzafbfk3.public.blob.vercel-storage.com/agent-assets/fbd1d39c8d809629fc00b4c10a363288caa08ae8981e462bac82a268e7c2d645.png","title":"Generate and edit videos with Gemini Omni Flash | Gemini API | Google AI for Developers","publishedDate":null},{"type":"finished-fetch-from-web","url":"https://ai.google.dev/gemini-api/docs/omni?v0Page=3","favicon":"https://xurtccytrzafbfk3.public.blob.vercel-storage.com/agent-assets/3dedeb5c0f5dd0a4dd66b6e19fef29ece5c450b09d071ca12c3d37e58c6f7b20.png","image":"https://xurtccytrzafbfk3.public.blob.vercel-storage.com/agent-assets/c81f90a6d7fd0ac30765c2c90fbeec76b3e9db2330dc09daa4fa2b39f7721881.png","title":"Generate and edit videos with Gemini Omni Flash | Gemini API | Google AI for Developers","publishedDate":null},{"type":"finished-fetch-from-web","url":"https://rankflow-kohl.vercel.app/?v0Page=2","favicon":"https://xurtccytrzafbfk3.public.blob.vercel-storage.com/agent-assets/38a87367bb4fde9b07251a67e291f7d93c70468a787a7859a71ab1a6234c9439.png","image":null,"title":"Har Ghar Tamasha · YouTube SEO Metadata Blueprint","publishedDate":null}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530792734,"finishedAt":1790530824917,"lastPartSentAt":1790530824917,"taskNameActive":null,"id":"Tjl7uxnywsm1I23F","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":32,"thought":"$116"},{"type":"thinking-end","duration":32,"thought":"I've gathered the brief, character sheets, SEO blueprint, and prompt guide. Since this is a fresh sandbox, I'll first check the current scaffold before rebuilding everything here.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"RZABTPoEtZyddCl9-ICK6MNGJzQOFJcji","parts":[{"createdAt":1790530824918,"finishedAt":1790530825059,"lastPartSentAt":1790530825059,"taskNameActive":"Reading layout scaffold","taskNameComplete":"Read layout scaffold","toolCallId":"toolu_01ToTmuEMeXV77CNjyp2kwo3","agentTurnId":"turn_3xiSi0m6b7wMvV70","filePath":null,"id":"RZABTPoEtZyddCl9","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/app/layout.tsx"}]},{"createdAt":1790530825744,"finishedAt":1790530825768,"lastPartSentAt":1790530825767,"taskNameActive":"Reading global styles","taskNameComplete":"Read global styles","toolCallId":"toolu_01BUtG7eHXjcwChZ9obgPJkN","agentTurnId":"turn_3xiSi0m6b7wMvV70","filePath":null,"id":"ICK6MNGJzQOFJcji","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/app/globals.css"}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Files","taskNameComplete":"Explore • 2 Files"},"id":"RZABTPoEtZyddCl9-ICK6MNGJzQOFJcji"}],["AssistantMessageContentPart",{"part":{"createdAt":1790530828160,"finishedAt":1790530829568,"lastPartSentAt":1790530829435,"taskNameActive":"Listing scaffold files","taskNameComplete":"Listed scaffold files","toolCallId":"toolu_01RLAsGZZDRfHakPDTMdKz8W","agentTurnId":"turn_3xiSi0m6b7wMvV70","filePath":null,"id":"0sdJJn4t1SCQpFVL","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && ls -R app components lib public && cat components.json && cat next.config.mjs && ls node_modules/next/dist/compiled/@next/font/dist/google 2>/dev/null | head -3; grep -c \"Bricolage_Grotesque\\|JetBrains_Mono\" node_modules/next/dist/compiled/@next/font/dist/google/index.js 2>/dev/null; ls node_modules/next/font/google 2>/dev/null | head"}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_1691d787241646878c5166f410eb","taskId":"bash_cmd_1691d787241646878c5166f410eb"},"id":"SNhHZ5QzKy4JIaBd"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"app:\nglobals.css\nlayout.tsx\npage.tsx\n\ncomponents:\nui\n\ncomponents/ui:\nbutton.tsx\n\nlib:\nutils.ts\n\npublic:\napple-icon.png\nicon-dark-32x32.png\nicon-light-32x32.png\nicon.svg\nplaceholder-logo.png\nplaceholder-logo.svg\nplaceholder-user.jpg\nplaceholder.jpg\npl"},"id":"SjMxAQAnnz8FSTAm"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"aceholder.svg\n{\n \"$schema\": \"https://ui.shadcn.com/schema.json\",\n \"style\": \"base-nova\",\n \"rsc\": true,\n \"tsx\": true,\n \n\n...\n\nfig\nfetch-css-from-google-fonts.d.ts\nfetch-css-from-google-fonts.js\nfetch-font-file.d.ts\n0\nindex.d.ts\nindex.js\ntarget.css\n"},"id":"vqaxllRRtnldEhSv"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530836702,"finishedAt":1790530836737,"lastPartSentAt":1790530836737,"taskNameActive":null,"id":"Z3TQPJ1uKmUSXeqW","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'm checking the shadcn base-nova scaffold's Button component to understand its render-prop API, and verifying whether Bricolage Grotesque and JetBrains Mono fonts are available in Next's Google fonts type definitions.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530837196,"finishedAt":1790530838609,"lastPartSentAt":1790530838464,"taskNameActive":"Checking fonts and button API","taskNameComplete":"Checked fonts and button API","toolCallId":"toolu_01TDEu2nkMTe3DK5jVaf7pEG","agentTurnId":"turn_D1IwbMyTg04SycII","filePath":null,"id":"OgxbY0n6tZ6CQSgu","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && grep -c \"Bricolage_Grotesque\" node_modules/next/font/google/index.d.ts; grep -c \"JetBrains_Mono\" node_modules/next/font/google/index.d.ts; grep -c \"Noto_Sans_Devanagari\" node_modules/next/font/google/index.d.ts; echo \"--- button ---\"; sed -n '1,80p' components/ui/button.tsx"}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_55c04f66f34a4bcd9f11e8d1d09e","taskId":"bash_cmd_55c04f66f34a4bcd9f11e8d1d09e"},"id":"RHhFv9QEWQUBgTNW"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"0\n0\n0\n--- button ---\nimport { Button as ButtonPrimitive } from '@base-ui/react/button'\nimport { cva, type VariantProps } from 'class-variance-authority'\n\nimport { cn } from '@/lib/utils'\n\nconst buttonVariants = cva(\n \"group/button inline-flex shrink"},"id":"znKMsh8sVqhSw6jn"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"-0 items-center justify-center rounded-lg border border-transparent bg-clip-padding text-sm font-medium whitespace-nowrap\n\n...\n\nsName={cn(buttonVariants({ variant, size, className }))}\n {...props}\n />\n )\n}\n\nexport { Button, buttonVariants }\n"},"id":"DLqywS97GgMhtZkB"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530845208,"finishedAt":1790530846825,"lastPartSentAt":1790530846825,"taskNameActive":null,"id":"mOX8Jby58LpOlmQj","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"The grep for font types came back empty, so the type definitions might live elsewhere—maybe I need to check a different path in next/font/google, or consider that the sandbox itself might not allow fetching Google Fonts during build.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530848798,"finishedAt":1790530850202,"lastPartSentAt":1790530849834,"taskNameActive":"Locating font declarations","taskNameComplete":"Located font declarations","toolCallId":"toolu_01XQaGgep7LBTQ4RWMtnHz5W","agentTurnId":"turn_schxKJ07u6UhnAK7","filePath":null,"id":"VxVr4hAR5EYG0LA5","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && cat node_modules/next/font/google/index.d.ts | head -5; F=$(find -L node_modules/next -path \"*font/dist/google/index.d.ts\" 2>/dev/null | head -1); echo \"FILE=$F\"; grep -c \"Bricolage_Grotesque\" \"$F\"; grep -c \"JetBrains_Mono\" \"$F\"; grep -c \"Noto_Sans_Devanagari\" \"$F\"; grep -c \"Baloo_2\" \"$F\""}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_62b7ad3ff49b4a998434fddde917","taskId":"bash_cmd_62b7ad3ff49b4a998434fddde917"},"id":"xTa2dXcwYWFjQ8gg"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"export * from 'next/dist/compiled/@next/font/dist/google'\nFILE=node_modules/next/dist/compiled/@next/font/dist/google/index.d.ts\n1\n1\n1\n1\n"},"id":"xmBu249EVMedpeNM"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790530856675,"finishedAt":null,"lastPartSentAt":null,"taskNameActive":null,"id":"jbr54GkWgURPTvNj","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":272,"thought":"$117"},{"type":"thinking-end","duration":272,"thought":"I have all the source material now. Since past attempts failed by trying to write one giant file, I'll split this into five compact data modules first, then handle the UI in a second batch.\n\n"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"Fx4UqO6Z8wZHUvtHfFK2eIEwsjoePHDp","gitRevision":{"baseSha":"b4502eff9b1f5bae51a54aeafb7de4af448a8c54","headSha":"911b21097b28f31617f6375d14af53483cba63f0","readyAt":"2026-09-27T17:46:29.994Z","version":1,"commitMessage":"feat: introduce default character definitions and section description"},"streaming":false,"finishReason":"length","parentId":"IivLvEM2r7p0WzPd6aCDST86txGi1bYn","type":"message","creditCost":4.47092875,"workMetrics":{"diffMap":{},"linesRead":332,"agentActions":17},"modelSettings":{"reasoningEffort":"max","supportedReasoningEfforts":["low","medium","high","xhigh","max"]},"createdAt":"$D2026-09-27T17:37:27.165Z","updatedAt":"$D2026-09-27T17:46:29.994Z"},{"content":{"type":"parts","parts":[{"type":"hidden-context","context":"The response was cut short early. Often this means that the last file written to was truncated and has a syntax error. Read that file to ensure it is complete."},{"type":"mdx","content":"Continue"}],"version":1},"role":"user","id":"uHBWUhIfUVU6dN5iJBaZcSx3Iwb0Dxqc","attachments":[],"parentId":"Fx4UqO6Z8wZHUvtHfFK2eIEwsjoePHDp","type":"message","authorId":"OvhPUfvAh1rnUp5In7h6ohGg","createdAt":"$D2026-09-27T17:47:11.134Z"},{"v0ModelId":"anthropic/claude-fable-5.1","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1790531232157,"finishedAt":1790531232157,"lastPartSentAt":1790531232157,"id":"icnt1gv4CZRKWGuT","type":"task-stopped-v1","parts":[{"type":"out-of-credits"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"eXhmdqeE5IeQNS7ze0wczT908kxF003z","gitRevision":null,"streaming":false,"finishReason":"other","parentId":"uHBWUhIfUVU6dN5iJBaZcSx3Iwb0Dxqc","type":"message","workMetrics":{"diffMap":{}},"createdAt":"$D2026-09-27T17:47:11.135Z","updatedAt":"$D2026-09-27T17:47:12.257Z"}],"lastSyncedAt":1791301494399,"undo":null,"activeForkKey":["0RY3uxltPffJpD1zcy0nT87JXBGqZbpf","YO0pw7kPqYegc0nbyF96o8GSz5Cz70Nn","sXA1sOPRWZ4e1St9azSsE9xUpxNjI9cI","wHJqMqVK7ba0dK8QBqfupjlPOMMFX03O","IivLvEM2r7p0WzPd6aCDST86txGi1bYn","Fx4UqO6Z8wZHUvtHfFK2eIEwsjoePHDp","uHBWUhIfUVU6dN5iJBaZcSx3Iwb0Dxqc","eXhmdqeE5IeQNS7ze0wczT908kxF003z"],"lifecycle":{"phase":"idle","persistence":"persisted"},"isAuthor":false,"isRestoring":false,"hashMessageId":null},"@\"active-block\",\"uE91JOYdNZV\",":null,"@\"chat:meta\",\"uE91JOYdNZV\",":{"title":"Resume previous tasks","authorId":"OvhPUfvAh1rnUp5In7h6ohGg","ownerId":"team_evkqTxNSy7lKrXjwadNjV9aX","storageEntityType":"v0-git","storageEntityId":"8he76pjc5o-3850/v0-resume-previous-tasks-uE91JOYdNZV","tailwindV4Default":true,"vercelProjectId":null,"canWriteToChat":false,"nextVersionDefault":16},"@\"chat:vm-mode\",\"uE91JOYdNZV\",":true,"@\"chat:vercel-project\",\"uE91JOYdNZV\",":"$@118","@\"team:sensitive-environment-variable-policy\",\"uE91JOYdNZV\",":"$@119","@\"block-view\",\"uE91JOYdNZV\",":false,"integrations:figma":"$@11a"},"children":["$L11b","$L11c","$L11d","$L11e","$L11f"]}]}]}] 46:o8,f3:null 46:oc4b,121:I[900547,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"FullChat",1] 122:"NavigationMarker" 123:I[517511,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$122"] 124:"OpenInV0JourneyCompletion" 125:I[228493,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$124"] 126:"SuspendingKeepTitleUpdated" 127:I[487989,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$126"] 128:"KeepClientOnUpToDateSlugPath" 129:I[983440,["$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e","$6f","$70","$71","$72","$73","$74","$75","$76","$77","$78","$79","$80","$81","$82","$7c","$7e","$83","$84","$85","$86","$87","$88","$7d","$89","$8a"],"$128"] 100:{"ok":true,"value":{"designSystemId":null,"title":"Resume previous tasks","privacy":"public","access":1,"isAdmin":false,"isAuthor":false,"ownerId":"team_evkqTxNSy7lKrXjwadNjV9aX","tailwindV4Default":true,"nextVersionDefault":16,"nextVersion15Default":false,"forceVMRendering":false,"isNextLiteReadOnly":false,"canWriteToChat":false,"ownerRestriction":null,"canManageChat":false,"chatCreatedAt":1790530592191,"hasBlock":false,"vercelProject":null,"hasGitConnection":false,"gitBase":null,"gitHead":null,"hasSnowflakeIntegration":false,"chatHasAnySnowflakeIntegration":false,"storageEntityType":"v0-git","storageEntityId":"8he76pjc5o-3850/v0-resume-previous-tasks-uE91JOYdNZV","vercelProjectId":null,"defaultPreviewPath":null,"agentWorkspace":false,"workspaceRuntime":false}} 101:{"ok":false,"error":{"error":"Unauthorized","statusCode":401,"errorCode":"2"}} 102:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} 103:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} 104:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} 105:{"ok":false,"error":{"error":"Unauthorized","statusCode":401,"errorCode":"2"}} 106:{"ok":true,"value":null,"__seedOnly":true} 120:T272eb,46:o272eb,v0 App

Your v0 generation will show here.

46:o1c1,10a:"$120" 118:"$undefined" 119:"$undefined" 11a:{"isSignedIn":false} 11b:["$","$L121","full-chat",{"isMobile":false,"templatesServer":null}] 11c:["$","$L123",null,{"phase":"content","label":"Chat.Detail","routeOverride":"/chat/[slug]"}] 11d:["$","$L125",null,{}] 11e:["$","$3e",null,{"children":["$","$L127",null,{"chatId":"uE91JOYdNZV"}]}] 11f:["$","$L129",null,{"id":"uE91JOYdNZV","requireMatchingChatPath":true,"title":"Resume previous tasks"}] 46:o11,43:true 42:60805 46:o2c,41:C 40:C 1:C 38:C 22:C 36:C 2c:C 1b:C 18:C 46:C