v0 App

3c:o1,~3c:o79a,2:"$Sreact.fragment" 3:"/chat-static/_next/static/immutable/chunks/1ysqul-c0gptf.js" 4:I[134030,["$3"],"default"] 5:I[831544,["$3"],"default"] 39:"ViewportBoundary" 3a:I[809245,["$3"],"$39"] 3c:"MetadataBoundary" 3d:I[809245,["$3"],"$3c"] 3e:"$Sreact.suspense" :HL["/chat-static/_next/static/immutable/chunks/3lr213czhcceg.css","style"] :HL["/chat-static/_next/static/immutable/chunks/2nsv2o5v20-v8.css","style"] :HL["/chat-static/_next/static/immutable/chunks/00ig-5h_vyw6f.css","style"] 1:X 6:X 18:X 1b:X 22:X 20:[["children",{"s":"__PAGE__","h":162,"d":{"r":"$L21","p":false,"v":"$22"}}]] 1e:[["children",{"s":{"n":"id","t":"d","k":"ssM05jqRQ0L","s":null},"h":98,"d":{"r":"$L1f","p":false,"v":"$6"},"c":"$Q20"}]] 2c:X 2a:[["children",{"s":"__PAGE__","h":2,"d":{"r":"$L2b","p":false,"v":"$2c"}}]] 28:[["children",{"s":{"n":"id","t":"d","k":"ssM05jqRQ0L","s":null},"h":38,"d":{"r":"$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":"$36"}}]] 32:[["children",{"s":{"n":"id","t":"d","k":"ssM05jqRQ0L","s":null},"h":102,"d":{"r":"$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":"$38"}}]] 19:[["children",{"s":{"n":"scope","t":"d","k":"xrpgudryk1-6114","s":null},"h":74,"d":{"r":"$L1a","p":false,"v":"$1b"},"c":"$Q1c"}]] 3c:oc16,8:[["children",{"s":"(dynamic-root)","h":58,"d":{"r":["$","$2","c",{"children":[[["$","link","0",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/3lr213czhcceg.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","1",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/2nsv2o5v20-v8.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","2",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/00ig-5h_vyw6f.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/2ez3848et-iu4.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/3jzmo4noa0mpl.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/3mtt4covw9ds-.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/0vipvuoajg-2_.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/2ron94c4y2zz0.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/3mvemo9sfjww9.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/3kb2onlo4hhwu.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/0ha3nguz8evd7.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/3cjpiu0vbgn3n.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/42onr_fte7hg-.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/155ihuzkrjxkw.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/3_0p49rm84tku.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/41t0ijk1nkphe.js","async":true,"nonce":"$undefined"}],["$","script","script-13",{"src":"/chat-static/_next/static/immutable/chunks/0oz4-e_ed5ocr.js","async":true,"nonce":"$undefined"}],["$","script","script-14",{"src":"/chat-static/_next/static/immutable/chunks/3nmw12jut3nrj.js","async":true,"nonce":"$undefined"}],["$","script","script-15",{"src":"/chat-static/_next/static/immutable/chunks/3mmzxybt5th7d.js","async":true,"nonce":"$undefined"}],["$","script","script-16",{"src":"/chat-static/_next/static/immutable/chunks/1_2_grn0tlbrx.js","async":true,"nonce":"$undefined"}],["$","script","script-17",{"src":"/chat-static/_next/static/immutable/chunks/2jgjae6_69zm3.js","async":true,"nonce":"$undefined"}],"$L9","$La","$Lb","$Lc","$Ld","$Le","$Lf","$L10","$L11","$L12","$L13","$L14","$L15","$L16"],"$L17"]}],"p":false,"v":"$18"},"c":"$Q19"}]] 3c: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 3c:o712,0:{"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":["$","$2","h",{"children":[null,["$","$L3a","gPU9rIQQBaEL558rT6VKMv",{"children":"$L3b"}],["$","$L3d","gPU9rIQQBaEL558rT6VKMm",{"children":[["$","div",null,{"hidden":true,"children":["$","$3e",null,{"name":"Next.Metadata","children":"$L3f"}]}],null]}]]}],"p":false,"v":"$40"}},"s":"$41","a":"$@42"} 3c:o1000,44:I[809245,["$3"],"OutletBoundary"] 46:"LoadingBoundaryProvider" 47:I[134030,["$3"],"$46"] 4f:"/chat-static/_next/static/immutable/chunks/2ez3848et-iu4.js" 50:"/chat-static/_next/static/immutable/chunks/3jzmo4noa0mpl.js" 51:"/chat-static/_next/static/immutable/chunks/3mtt4covw9ds-.js" 52:"/chat-static/_next/static/immutable/chunks/0vipvuoajg-2_.js" 53:"/chat-static/_next/static/immutable/chunks/2ron94c4y2zz0.js" 54:"/chat-static/_next/static/immutable/chunks/3mvemo9sfjww9.js" 55:"/chat-static/_next/static/immutable/chunks/3kb2onlo4hhwu.js" 56:"/chat-static/_next/static/immutable/chunks/0ha3nguz8evd7.js" 57:"/chat-static/_next/static/immutable/chunks/3cjpiu0vbgn3n.js" 58:"/chat-static/_next/static/immutable/chunks/42onr_fte7hg-.js" 59:"/chat-static/_next/static/immutable/chunks/155ihuzkrjxkw.js" 5a:"/chat-static/_next/static/immutable/chunks/3_0p49rm84tku.js" 5b:"/chat-static/_next/static/immutable/chunks/41t0ijk1nkphe.js" 5c:"/chat-static/_next/static/immutable/chunks/0oz4-e_ed5ocr.js" 5d:"/chat-static/_next/static/immutable/chunks/3nmw12jut3nrj.js" 5e:"/chat-static/_next/static/immutable/chunks/3mmzxybt5th7d.js" 5f:"/chat-static/_next/static/immutable/chunks/1_2_grn0tlbrx.js" 60:"/chat-static/_next/static/immutable/chunks/2jgjae6_69zm3.js" 61:"/chat-static/_next/static/immutable/chunks/2ortbrmzoog7i.js" 62:"/chat-static/_next/static/immutable/chunks/03zs_a541khh7.js" 63:"/chat-static/_next/static/immutable/chunks/03brwe_qp9424.js" 64:"/chat-static/_next/static/immutable/chunks/1m-ggy76h0icp.js" 65:"/chat-static/_next/static/immutable/chunks/1skgq0jefchys.js" 66:"/chat-static/_next/static/immutable/chunks/0bmrnr7mqq125.js" 67:"/chat-static/_next/static/immutable/chunks/3cxkytghtnjb5.js" 68:"/chat-static/_next/static/immutable/chunks/175t8gqlqy8ma.js" 69:"/chat-static/_next/static/immutable/chunks/1t81f07l2nl_a.js" 6a:"/chat-static/_next/static/immutable/chunks/3p0ur8tex0ala.js" 6b:"/chat-static/_next/static/immutable/chunks/3tny7lejdgfx6.js" 6c:"/chat-static/_next/static/immutable/chunks/1bq6es5hi2lbt.js" 6d:"/chat-static/_next/static/immutable/chunks/1mbs9vpfnj-e4.js" 6e:"/chat-static/_next/static/immutable/chunks/3d7sh05osaa9g.js" 6f:"/chat-static/_next/static/immutable/chunks/293tj415iq3bs.js" 70:"/chat-static/_next/static/immutable/chunks/3w2b7tivu5kj9.js" 71:"/chat-static/_next/static/immutable/chunks/12zcgahldse4o.js" 72:"/chat-static/_next/static/immutable/chunks/20uonqf5_n_4k.js" 73:"/chat-static/_next/static/immutable/chunks/2okfvgsdojwyd.js" 74:"/chat-static/_next/static/immutable/chunks/3n4brw3dv8g-r.js" 75:"/chat-static/_next/static/immutable/chunks/0o1zhaysene4i.js" 76:"/chat-static/_next/static/immutable/chunks/0fandjy28amms.js" 77:"/chat-static/_next/static/immutable/chunks/2ws4m2plwid5j.js" 78:"/chat-static/_next/static/immutable/chunks/2gdqsjf1xh730.js" 79:"/chat-static/_next/static/immutable/chunks/0rqaxzpe33wgl.js" 7a:"/chat-static/_next/static/immutable/chunks/0mzn_wm2xsli2.js" 7b:"/chat-static/_next/static/immutable/chunks/2jxke-9ppzs71.js" 7c:"/chat-static/_next/static/immutable/chunks/3p2u3hajk1ld1.js" 7d:"/chat-static/_next/static/immutable/chunks/06htf9ieuryzu.js" 7e:"/chat-static/_next/static/immutable/chunks/2yhrik6wd4oqd.js" 7f:"/chat-static/_next/static/immutable/chunks/2gp7937mt377n.js" 80:"/chat-static/_next/static/immutable/chunks/2-b-n69tlmzaq.js" 81:"/chat-static/_next/static/immutable/chunks/0lzfftocwlo7y.js" 82:"/chat-static/_next/static/immutable/chunks/1n6vl9w3r2ad0.js" 83:"/chat-static/_next/static/immutable/chunks/42kpd262h9bwg.js" 84:"/chat-static/_next/static/immutable/chunks/2w_jt-oimkft1.js" 85:"/chat-static/_next/static/immutable/chunks/29lv7-j0pni38.js" 86:"/chat-static/_next/static/immutable/chunks/0zmudrgztopz8.js" 87:"/chat-static/_next/static/immutable/chunks/3j5lvmmcsubfj.js" 88:"/chat-static/_next/static/immutable/chunks/0yw1dg__j8skq.js" 89:"/chat-static/_next/static/immutable/chunks/2dnk-or-1vsta.js" 8a:"/chat-static/_next/static/immutable/chunks/1iqhb-e498oq9.js" 8b:"/chat-static/_next/static/immutable/chunks/1ggzy5q9xq7me.js" 8c:"/chat-static/_next/static/immutable3c:of21,/chunks/1fi3fro5sm81z.js" 8d:"/chat-static/_next/static/immutable/chunks/42yfe8vtioux6.js" 8e:"/chat-static/_next/static/immutable/chunks/1m7snthbut1j_.js" 8f:"/chat-static/_next/static/immutable/chunks/3mdpyz5zfys-7.js" 90:"/chat-static/_next/static/immutable/chunks/2lbsr349ar79m.js" 91:I[822201,["$4f","$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","$7f","$80","$81","$82","$83","$84","$85","$86","$87","$88","$89","$8a","$8b","$8c","$8d","$8e","$8f","$90"],"default"] 92:"/chat-static/_next/static/immutable/chunks/3fjflw4q3jd9g.js" 93:"/chat-static/_next/static/immutable/chunks/3pdkk6zv5cjgy.js" 94:"/chat-static/_next/static/immutable/chunks/16bvwngtq0an0.js" 95:"/chat-static/_next/static/immutable/chunks/18c0zsp-p03q0.js" 96:"/chat-static/_next/static/immutable/chunks/1w9o0zu9qxuxt.js" 97:"/chat-static/_next/static/immutable/chunks/3q8ntf_nntt_w.js" 98:"/chat-static/_next/static/immutable/chunks/41e9wmemnh67g.js" 99:"/chat-static/_next/static/immutable/chunks/20nsc85wgnw2-.js" 9a:"/chat-static/_next/static/immutable/chunks/2j2aaf-pno5zb.js" 9b:"/chat-static/_next/static/immutable/chunks/2m-bg0k3ds03m.js" 9c:"GitChatHeaderSkeleton" 9d:I[70040,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$9c"] :HL["/chat-static/_next/static/immutable/chunks/2r4ti-hs27evh.css","style"] :HL["/chat-static/_next/static/immutable/chunks/0oyqfqfdkpyn4.css","style"] 6:C 9:["$","script","script-18",{"src":"/chat-static/_next/static/immutable/chunks/2ortbrmzoog7i.js","async":true,"nonce":"$undefined"}] a:["$","script","script-19",{"src":"/chat-static/_next/static/immutable/chunks/03zs_a541khh7.js","async":true,"nonce":"$undefined"}] b:["$","script","script-20",{"src":"/chat-static/_next/static/immutable/chunks/03brwe_qp9424.js","async":true,"nonce":"$undefined"}] c:["$","script","script-21",{"src":"/chat-static/_next/static/immutable/chunks/1m-ggy76h0icp.js","async":true,"nonce":"$undefined"}] d:["$","script","script-22",{"src":"/chat-static/_next/static/immutable/chunks/1skgq0jefchys.js","async":true,"nonce":"$undefined"}] e:["$","script","script-23",{"src":"/chat-static/_next/static/immutable/chunks/0bmrnr7mqq125.js","async":true,"nonce":"$undefined"}] f:["$","script","script-24",{"src":"/chat-static/_next/static/immutable/chunks/3cxkytghtnjb5.js","async":true,"nonce":"$undefined"}] 10:["$","script","script-25",{"src":"/chat-static/_next/static/immutable/chunks/175t8gqlqy8ma.js","async":true,"nonce":"$undefined"}] 11:["$","script","script-26",{"src":"/chat-static/_next/static/immutable/chunks/1t81f07l2nl_a.js","async":true,"nonce":"$undefined"}] 12:["$","script","script-27",{"src":"/chat-static/_next/static/immutable/chunks/3p0ur8tex0ala.js","async":true,"nonce":"$undefined"}] 13:["$","script","script-28",{"src":"/chat-static/_next/static/immutable/chunks/3tny7lejdgfx6.js","async":true,"nonce":"$undefined"}] 14:["$","script","script-29",{"src":"/chat-static/_next/static/immutable/chunks/1bq6es5hi2lbt.js","async":true,"nonce":"$undefined"}] 15:["$","script","script-30",{"src":"/chat-static/_next/static/immutable/chunks/1mbs9vpfnj-e4.js","async":true,"nonce":"$undefined"}] 16:["$","script","script-31",{"src":"/chat-static/_next/static/immutable/chunks/3d7sh05osaa9g.js","async":true,"nonce":"$undefined"}] 3c:o956,1a:["$","$2","c",{"children":[[["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/293tj415iq3bs.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/3w2b7tivu5kj9.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/12zcgahldse4o.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/20uonqf5_n_4k.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/2okfvgsdojwyd.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/3n4brw3dv8g-r.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/0o1zhaysene4i.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/0fandjy28amms.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/2ws4m2plwid5j.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/2gdqsjf1xh730.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/0rqaxzpe33wgl.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/0mzn_wm2xsli2.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/2jxke-9ppzs71.js","async":true,"nonce":"$undefined"}],["$","script","script-13",{"src":"/chat-static/_next/static/immutable/chunks/3p2u3hajk1ld1.js","async":true,"nonce":"$undefined"}],["$","script","script-14",{"src":"/chat-static/_next/static/immutable/chunks/06htf9ieuryzu.js","async":true,"nonce":"$undefined"}],["$","script","script-15",{"src":"/chat-static/_next/static/immutable/chunks/2yhrik6wd4oqd.js","async":true,"nonce":"$undefined"}],["$","script","script-16",{"src":"/chat-static/_next/static/immutable/chunks/2gp7937mt377n.js","async":true,"nonce":"$undefined"}],["$","script","script-17",{"src":"/chat-static/_next/static/immutable/chunks/2-b-n69tlmzaq.js","async":true,"nonce":"$undefined"}]],"$L43"]}] 3c: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":"$undefined"}]]}] 3c:oc9e,21:["$","$2","c",{"children":[null,[["$","link","0",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/2r4ti-hs27evh.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","1",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/0oyqfqfdkpyn4.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/0wwcdyb1p9s2o.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/2w_jt-oimkft1.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/16bvwngtq0an0.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/29lv7-j0pni38.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/3pdkk6zv5cjgy.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/3mdpyz5zfys-7.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/2j2aaf-pno5zb.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/1ggzy5q9xq7me.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/42kpd262h9bwg.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/2lbsr349ar79m.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/1fi3fro5sm81z.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/0zmudrgztopz8.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/41e9wmemnh67g.js","async":true,"nonce":"$undefined"}],["$","script","script-13",{"src":"/chat-static/_next/static/immutable/chunks/20nsc85wgnw2-.js","async":true,"nonce":"$undefined"}],["$","script","script-14",{"src":"/chat-static/_next/static/immutable/chunks/1m7snthbut1j_.js","async":true,"nonce":"$undefined"}],["$","script","script-15",{"src":"/chat-static/_next/static/immutable/chunks/18c0zsp-p03q0.js","async":true,"nonce":"$undefined"}],["$","script","script-16",{"src":"/chat-static/_next/static/immutable/chunks/3q8ntf_nntt_w.js","async":true,"nonce":"$undefined"}],["$","script","script-17",{"src":"/chat-static/_next/static/immutable/chunks/1w9o0zu9qxuxt.js","async":true,"nonce":"$undefined"}],["$","script","script-18",{"src":"/chat-static/_next/static/immutable/chunks/0yw1dg__j8skq.js","async":true,"nonce":"$undefined"}],["$","script","script-19",{"src":"/chat-static/_next/static/immutable/chunks/1iqhb-e498oq9.js","async":true,"nonce":"$undefined"}],["$","script","script-20",{"src":"/chat-static/_next/static/immutable/chunks/2m-bg0k3ds03m.js","async":true,"nonce":"$undefined"}]],["$","$L44",null,{"children":["$","$3e",null,{"name":"Next.MetadataOutlet","children":"$@45"}]}]]}] 3c: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":"$undefined"}]]}] 3c:o10d2,29:["$","$L47",null,{"loading":[["$","$2","l",{"children":[["$","div",null,{"data-chat-skeleton-layout":true,"className":"flex-1 w-full flex","children":[["$","div",null,{"data-input":true,"aria-hidden":"true","className":"flex","children":["$","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"}]}],["$","div",null,{"className":"flex-1 min-w-0","children":"$L48"}],"$L49","$L4a"]}]}]]}]}],"$L4b"]}],"$L4c"]}],[],null],"children":"$L4d"}] 3c:oc44,2b:["$","$2","c",{"children":["$L4e",[["$","link","0",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/2r4ti-hs27evh.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","1",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/0oyqfqfdkpyn4.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/0wwcdyb1p9s2o.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/2w_jt-oimkft1.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/16bvwngtq0an0.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/29lv7-j0pni38.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/3pdkk6zv5cjgy.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/3mdpyz5zfys-7.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/2j2aaf-pno5zb.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/1ggzy5q9xq7me.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/42kpd262h9bwg.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/2lbsr349ar79m.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/1fi3fro5sm81z.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/0zmudrgztopz8.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/41e9wmemnh67g.js","async":true,"nonce":"$undefined"}],["$","script","script-13",{"src":"/chat-static/_next/static/immutable/chunks/20nsc85wgnw2-.js","async":true,"nonce":"$undefined"}],["$","script","script-14",{"src":"/chat-static/_next/static/immutable/chunks/1m7snthbut1j_.js","async":true,"nonce":"$undefined"}],["$","script","script-15",{"src":"/chat-static/_next/static/immutable/chunks/18c0zsp-p03q0.js","async":true,"nonce":"$undefined"}],["$","script","script-16",{"src":"/chat-static/_next/static/immutable/chunks/3q8ntf_nntt_w.js","async":true,"nonce":"$undefined"}],["$","script","script-17",{"src":"/chat-static/_next/static/immutable/chunks/1w9o0zu9qxuxt.js","async":true,"nonce":"$undefined"}],["$","script","script-18",{"src":"/chat-static/_next/static/immutable/chunks/0yw1dg__j8skq.js","async":true,"nonce":"$undefined"}],["$","script","script-19",{"src":"/chat-static/_next/static/immutable/chunks/1iqhb-e498oq9.js","async":true,"nonce":"$undefined"}],["$","script","script-20",{"src":"/chat-static/_next/static/immutable/chunks/2m-bg0k3ds03m.js","async":true,"nonce":"$undefined"}]],null]}] 3c:o3e7,2d:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$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":"$undefined"}]]}] 3c:ob16,33:["$","$L47",null,{"loading":[["$","$L91","l",{}],[["$","link","0",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/2r4ti-hs27evh.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","1",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/0oyqfqfdkpyn4.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}]],[["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/0lzfftocwlo7y.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/1n6vl9w3r2ad0.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/42kpd262h9bwg.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/2w_jt-oimkft1.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/29lv7-j0pni38.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/0zmudrgztopz8.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/3j5lvmmcsubfj.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/0yw1dg__j8skq.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/2dnk-or-1vsta.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/1iqhb-e498oq9.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/1ggzy5q9xq7me.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/1fi3fro5sm81z.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/42yfe8vtioux6.js","async":true,"nonce":"$undefined"}],["$","script","script-13",{"src":"/chat-static/_next/static/immutable/chunks/1m7snthbut1j_.js","async":true,"nonce":"$undefined"}],["$","script","script-14",{"src":"/chat-static/_next/static/immutable/chunks/3mdpyz5zfys-7.js","async":true,"nonce":"$undefined"}],["$","script","script-15",{"src":"/chat-static/_next/static/immutable/chunks/2lbsr349ar79m.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":"$undefined"}]]}]}] 3c:oe0b,35:["$","$2","c",{"children":[["$","$3e",null,{"fallback":["$","$L9d",null,{}],"children":"$L9e"}],[["$","link","0",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/2r4ti-hs27evh.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","link","1",{"rel":"stylesheet","href":"/chat-static/_next/static/immutable/chunks/0oyqfqfdkpyn4.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/3fjflw4q3jd9g.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/chat-static/_next/static/immutable/chunks/3pdkk6zv5cjgy.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/chat-static/_next/static/immutable/chunks/1n6vl9w3r2ad0.js","async":true,"nonce":"$undefined"}],["$","script","script-3",{"src":"/chat-static/_next/static/immutable/chunks/1ggzy5q9xq7me.js","async":true,"nonce":"$undefined"}],["$","script","script-4",{"src":"/chat-static/_next/static/immutable/chunks/29lv7-j0pni38.js","async":true,"nonce":"$undefined"}],["$","script","script-5",{"src":"/chat-static/_next/static/immutable/chunks/2w_jt-oimkft1.js","async":true,"nonce":"$undefined"}],["$","script","script-6",{"src":"/chat-static/_next/static/immutable/chunks/16bvwngtq0an0.js","async":true,"nonce":"$undefined"}],["$","script","script-7",{"src":"/chat-static/_next/static/immutable/chunks/0zmudrgztopz8.js","async":true,"nonce":"$undefined"}],["$","script","script-8",{"src":"/chat-static/_next/static/immutable/chunks/18c0zsp-p03q0.js","async":true,"nonce":"$undefined"}],["$","script","script-9",{"src":"/chat-static/_next/static/immutable/chunks/1w9o0zu9qxuxt.js","async":true,"nonce":"$undefined"}],["$","script","script-10",{"src":"/chat-static/_next/static/immutable/chunks/3q8ntf_nntt_w.js","async":true,"nonce":"$undefined"}],["$","script","script-11",{"src":"/chat-static/_next/static/immutable/chunks/42kpd262h9bwg.js","async":true,"nonce":"$undefined"}],["$","script","script-12",{"src":"/chat-static/_next/static/immutable/chunks/41e9wmemnh67g.js","async":true,"nonce":"$undefined"}],["$","script","script-13",{"src":"/chat-static/_next/static/immutable/chunks/42yfe8vtioux6.js","async":true,"nonce":"$undefined"}],["$","script","script-14",{"src":"/chat-static/_next/static/immutable/chunks/2lbsr349ar79m.js","async":true,"nonce":"$undefined"}],["$","script","script-15",{"src":"/chat-static/_next/static/immutable/chunks/1iqhb-e498oq9.js","async":true,"nonce":"$undefined"}],["$","script","script-16",{"src":"/chat-static/_next/static/immutable/chunks/2dnk-or-1vsta.js","async":true,"nonce":"$undefined"}],["$","script","script-17",{"src":"/chat-static/_next/static/immutable/chunks/1m7snthbut1j_.js","async":true,"nonce":"$undefined"}],["$","script","script-18",{"src":"/chat-static/_next/static/immutable/chunks/3mdpyz5zfys-7.js","async":true,"nonce":"$undefined"}],["$","script","script-19",{"src":"/chat-static/_next/static/immutable/chunks/20nsc85wgnw2-.js","async":true,"nonce":"$undefined"}],["$","script","script-20",{"src":"/chat-static/_next/static/immutable/chunks/2j2aaf-pno5zb.js","async":true,"nonce":"$undefined"}],["$","script","script-21",{"src":"/chat-static/_next/static/immutable/chunks/1fi3fro5sm81z.js","async":true,"nonce":"$undefined"}],["$","script","script-22",{"src":"/chat-static/_next/static/immutable/chunks/2m-bg0k3ds03m.js","async":true,"nonce":"$undefined"}],["$","script","script-23",{"src":"/chat-static/_next/static/immutable/chunks/0yw1dg__j8skq.js","async":true,"nonce":"$undefined"}]],null]}] 3c:o32,37:["$","$2","c",{"children":["$L9f",null,null]}] 3c:oa86,a1:I[987761,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"AppCard"] a2:"FULL_BLEED_APP_CARD_CLASSNAME" a3:I[987761,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$a2"] a4:"/chat-static/_next/static/immutable/chunks/2y52rcwlrud2w.js" a5:"SidebarCollapseButton" a6:I[663042,["$4f","$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","$7f","$80","$a4"],"$a5"] a7:I[192842,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"ChatWarning"] a8:I[903785,["$4f","$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","$7f","$80","$a4"],"NewChatButton"] 41:300 48:["$","div",null,{"className":"animate-pulse bg-v0-gray-200 h-4 w-24 rounded"}] 49:["$","div",null,{"className":"animate-pulse bg-v0-gray-200 h-6 w-16 rounded-md"}] 4a:["$","div",null,{"className":"animate-pulse bg-v0-gray-200 size-7 rounded-full"}] 4b:["$","div",null,{"data-output":true,"className":"flex items-center justify-center bg-v0-background-200","children":["$","span",null,{"role":"status","aria-live":"polite","className":"sr-only","children":"Loading chat…"}]}] a0:T1963,3c:o1963,3c:o35d,4c:["$","span",null,{"data-v0-skeleton-chat-layout":"","hidden":true,"dangerouslySetInnerHTML":{"__html":"$a0"}}] 4d:["$","$2","c",{"children":[null,["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":[["$","$3e",null,{"fallback":["$","$La1",null,{"className":"$a3","children":[["$","$La6",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"}],["$","$La7",null,{"description":"Loading…","title":"Chat Not Found","children":["$","$La8",null,{}]}]]}],"children":"$La9"}],[]],"forbidden":"$undefined","unauthorized":"$undefined"}]]}] 3c:o17,18:T8,variantsaa:T18d5,3c:o18d5,(({protect:a})=>{function b(a){return new Promise((b,c)=>{if(document.querySelector(`script[src="${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);!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 g=new c,h=new d(a);(async function(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)}})(g,h,a).catch(a=>{console.error("Error patching XMLHttpRequest:",a)}),b=window.fetch,window.fetch=async(c,d)=>{let i=new URL(c instanceof Request?c.url:c,location.href),j=i.origin===location.origin,k=a.find(a=>f({path:i.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 g.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",i.pathname),o.set("x-method",l);let p={...d,headers:o};return h.loaded||0!==n.b?b(c,p):1===n.d||k?.advancedOptions?.checkLevel==="deepAnalysis"?(await h.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"}] });3c:o158,17:["$","html",null,{"lang":"en","suppressHydrationWarning":true,"children":[["$","head",null,{"children":[["$","meta",null,{"name":"ahrefs-site-verification","content":"e2ef51ac3cec223624a89ee7790eda482d23374870bff86fe0e0c599b8de4b51"}],["$","script",null,{"dangerouslySetInnerHTML":{"__html":"$aa"}}],"$Lab","$Lac","$Lad","$Lae"]}],"$Laf"]}] 3c:o1000,b0:"GeistThemeScript" b1:I[86098,["$4f","$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","$6e"],"$b0"] b2:I[600033,["$4f","$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"],"AppStoreMetaTag"] b3:I[86098,["$4f","$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"],"GeistProvider"] b4:I[818362,["$4f","$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"],"LocaleProvider"] b5:I[841245,["$4f","$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"],"MotionConfig"] b6:"AtomicContextSWRProvider" b7:I[850359,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$b6"] b8:"GlobalPromiseContextProvider" b9:I[850359,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$b8"] bc:I[827887,["$4f","$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"],"JotaiProvider"] bd:"ServerQuerySWRRuntimeProvider" be:I[74757,["$4f","$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","$6e"],"$bd"] c0:I[815349,["$4f","$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"],"CleanupStorage"] c1:I[994115,["$4f","$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"],"Analytics"] c2:I[503803,["$4f","$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"],"SpeedInsights"] c4:"VercelianAppFlowMigrator" c5:I[23825,["$4f","$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","$6e"],"$c4"] c6:I[108762,["$4f","$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"],"TrackInfo"] c7:I[578386,["$4f","$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"],"PageViewTracker"] c8:I[356301,["$4f","$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$3c:o44a,66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e"],"AutoCapture"] ab:["$","$Lb1",null,{"storageKey":"theme"}] ac:["$","$3e",null,{"children":["$","$Lb2",null,{}]}] ad:["$","meta",null,{"name":"slack-app-id","content":"A09PS08K5R8"}] ae:["$","script",null,{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"[{\"@context\":\"https://schema.org\",\"@type\":\"Organization\",\"name\":\"Vercel\",\"url\":\"https://vercel.com\",\"logo\":\"https://assets.vercel.com/image/upload/front/favicon/vercel/favicon.ico\",\"sameAs\":[\"https://x.com/vercel\",\"https://x.com/v0\",\"https://github.com/vercel\",\"https://www.linkedin.com/company/vercel\",\"https://www.linkedin.com/company/v0dev\"]},{\"@context\":\"https://schema.org\",\"@type\":\"WebApplication\",\"name\":\"v0\",\"url\":\"https://v0.app\",\"description\":\"Your collaborative AI assistant to design, iterate, and scale full-stack applications for the web.\",\"applicationCategory\":[\"DeveloperApplication\",\"DesignApplication\"],\"operatingSystem\":\"All\",\"creator\":{\"@type\":\"Organization\",\"name\":\"Vercel\"}}]"}}] 3c:o93b,af:["$","body",null,{"className":"font-sans bg-v0-background-200 text-v0-gray-1000 antialiased eEAu7a_variable dJgEwW_variable hGs1mq_variable","children":[["$","$Lb3",null,{"storageKey":"theme","withScript":false,"children":["$","$Lb4",null,{"locale":"en","children":["$","$Lb5",null,{"reducedMotion":"user","children":["$","$Lb7",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":["$","$Lb9",null,{"params":null,"promises":{"dailyModelUsage":"$@ba","freeFixWithV0Usage":"$@bb"},"children":[["$","$Lbc",null,{"children":["$","$Lbe",null,{"children":"$Lbf"}]}],["$","$Lc0",null,{}]]}]}]}]}]}],["$","$Lc1",null,{}],["$","$Lc2",null,{"endpoint":"https://v0sdk.com/_vercel/speed-insights/vitals"}],["$","$3e",null,{"children":"$Lc3"}],["$","$Lc5",null,{}],["$","$Lc6",null,{}],["$","$Lc7",null,{}],["$","$Lc8",null,{}]]}] 3c:o90,3b:[["$","meta","0",{"charSet":"utf-8"}],["$","meta","1",{"name":"viewport","content":"width=device-width, initial-scale=1, maximum-scale=1"}]] 3c:oe,40:T8,variants3c:o1000,c9:"HydrateDurableAtoms" ca:I[783749,["$4f","$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","$6e"],"$c9"] cb:I[359783,["$4f","$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"],"DataProvider"] cc:I[32170,["$4f","$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"],"UserProvider"] ce:"AnimatedIconProvider" cf:I[908887,["$4f","$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","$6e"],"$ce"] d0:I[30570,["$4f","$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"],"PortalProvider"] d1:"SnowflakePublishProvider" d2:I[966820,["$4f","$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","$6e"],"$d1"] d3:"UserInputProvider" d4:I[472914,["$4f","$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","$6e"],"$d3"] d5:I[69221,["$4f","$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"],"CmdkProvider"] d6:"VirtualMachineUIStateProvider" d7:I[319228,["$4f","$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","$6e"],"$d6"] d8:"DeployedPreviewIframeRefProvider" d9:I[166890,["$4f","$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","$6e"],"$d8"] da:"PreviewSourceUIStateProvider" db:I[197843,["$4f","$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","$6e"],"$da"] dc:I[367078,["$4f","$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"],"LoaderProvider"] dd:"PromptFormUIProvider" de:I[595358,["$4f","$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","$6e"],"$dd"] df:I[242759,["$4f","$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"],"FlagsProvider"] e1:I[549011,["$4f","$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"],"NuqsAdapter"] e2:"ChatTabsProvider" e3:I[568561,["$4f","$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","$6e"],"$e2"] e4:"PersonalScopeMigrationAnnouncementProvider" e5:I[206559,["$4f","$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","$6e"],"$e4"] e7:"AnnouncementVisibilityProvider" e8:I[878519,["$4f","$50","$51","$52","$53","$54","$55","$56","$57","3c:o5cb,$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65","$66","$67","$68","$69","$6a","$6b","$6c","$6d","$6e"],"$e7"] eb:I[561588,["$4f","$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"],"Toaster"] ec:I[407562,["$4f","$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"],"Toaster"] ed:"SuspendingDialogs" ee:I[840793,["$4f","$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","$6e"],"$ed"] ef:I[323194,["$4f","$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"],"SignInDialog"] f0:I[279070,["$4f","$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"],"ConsentBanner"] f1:I[15279,["$4f","$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","$6e"],"SessionManager"] 3c:o8ef,bf:["$","$Lca",null,{"serverData":{"chat":null,"scoped":null,"root":{"root":{"sidebarCollapsed":false,"sidebarPreferenceSet":false,"sidebarWidth":250,"sidebarGroupOrder":[],"lastUpdated":0,"modelConfiguration":{"fast":false,"modelId":"v0-max","thinking":false,"thinkingEffort":null,"imageGenerations":false},"modelDisplayPreference":null,"lastModelPreference":null,"manualModelSelectionAnchorKey":null,"toolConfiguration":{"webSearch":true,"generateImages":true,"vercelProjectId":null,"vercelProjectName":null,"vercelProjectBranch":null,"vercelProjectGitOrg":null,"vercelProjectGitRepo":null,"customInstructionIds":[],"mcpServerIds":[],"marketplaceMcpIds":[],"autoAllowMcpTools":false},"shouldShowUpgrade":false,"chatMobilePanel":"input","chatPanelLayout":[{"id":"input","ratio":0.205,"visible":true},{"id":"output","ratio":0.795,"visible":true}],"dismissedFeatureDialogs":{},"dismissedConnectRepoCard":false,"permissionsModeV2":null}}},"children":["$","$Lcb",null,{"children":["$","$Lcc",null,{"expectUser":false,"userPromise":"$@cd","children":["$","$Lcf",null,{"children":["$","$Ld0",null,{"children":["$","$Ld2",null,{"children":["$","$Ld4",null,{"children":["$","$Ld5",null,{"children":["$","$Ld7",null,{"children":["$","$Ld9",null,{"children":["$","$Ldb",null,{"children":["$","$Ldc",null,{"children":["$","$Lde",null,{"children":["$","$Ldf",null,{"promise":"$@e0","middlewareFlags":["cgas"],"children":["$","$Le1",null,{"children":["$","$Le3",null,{"children":["$","$Le5",null,{"destinationTeamIdPromise":"$@e6","children":["$","$Le8",null,{"visiblePromise":"$@e9","children":["$","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":[["$","$3e",null,{"fallback":null,"children":"$Lea"}],["$","$Leb",null,{}],["$","$Lec",null,{}],["$","$3e",null,{"fallback":null,"children":["$","$Lee",null,{}]}],["$","$Lef",null,{}],["$","$L4",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}],["$","$Lf0",null,{}]]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}]}] 3c:o12c,a9:["$","$La1",null,{"className":"$a3","children":["$4d:props:children:1:props:notFound:0:props:fallback:props:children:0",["$","$La7",null,{"description":"This chat was deleted, made private, or no longer exists.","title":"Chat Not Found","children":null}]]}] c3:["$","$Lf1",null,{"enabled":false}] 3c:o20,cd:"$undefined" e9:true ea:null 3c: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,id3c:o1000,f2:"RouteChatIdProvider" f3:I[903690,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$f2"] f4:"CompletionAttentionProvider" f5:I[607506,["$4f","$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","$7f","$80"],"$f4"] f6:"SidebarUIProvider" f7:I[475961,["$4f","$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","$7f","$80"],"$f6"] fa:"HeaderSlotClientRouter" fb:I[597544,["$4f","$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","$7f","$80"],"$fa"] fc:"/chat-static/_next/static/immutable/chunks/0akev29afa59x.js" fd:I[32459,["$4f","$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","$7f","$80","$fc"],"default"] fe:I[990009,["$4f","$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","$7f","$80"],"Header"] ff:"RevalidateChatIdSkeletonStyles" 100:I[564011,["$4f","$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","$7f","$80"],"$ff"] 101:I[980088,["$4f","$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","$7f","$80"],"DynamicCMDK"] 102:"PromptQueueSnapshotProvider" 103:I[475641,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$102"] 106:"ChatPromiseContextProvider" 107:I[850359,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$106"] 10f:I[70040,["$4f","$50","$51","$52","$53","$54","$55","$56","$57","$58","$59","$5a","$5b","$5c","$5d","$5e","$5f","$60","$61","$62","$63","$64","$65",3c:o16c,"$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"GitChatHeader"] 110:I[580397,["$3"],"IconMark"] 9f:null 3c:o77f,43:["$","$Lf3",null,{"children":["$","$Lf5",null,{"children":["$","$Lf7",null,{"children":[["$","$3e",null,{"fallback":null,"children":"$@f8"}],["$","$3e",null,{"children":"$Lf9"}],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":[["$","$Lfb",null,{"headerSlot":["$","$L4",null,{"parallelRouterKey":"header","error":"$fd","errorStyles":[],"errorScripts":[["$","script","script-0",{"src":"/chat-static/_next/static/immutable/chunks/0akev29afa59x.js","async":true,"nonce":"$undefined"}]],"template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}],"defaultSlot":["$","$Lfe",null,{}]}],["$","$L4",null,{"parallelRouterKey":"children","error":"$fd","errorStyles":"$43:props:children:props:children:props:children:4:props:children:1:props:children:0:props:headerSlot:props:errorStyles","errorScripts":"$43:props:children:props:children:props:children:4:props:children:1:props:children:0:props:headerSlot:props:errorScripts","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}],["$","$L4",null,{"parallelRouterKey":"content","error":"$fd","errorStyles":"$43:props:children:props:children:props:children:4:props:children:1:props:children:0:props:headerSlot:props:errorStyles","errorScripts":"$43:props:children:props:children:props:children:4:props:children:1:props:children:0:props:headerSlot:props:errorScripts","template":["$","$L5",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}]]}],false,["$","$3e",null,{"children":["$","$L100",null,{}]}],["$","$L101",null,{}]]}]}]}] 3c:o176,4e:["$","$L103",null,{"initial":{"chatId":"ssM05jqRQ0L","snapshot":"$@104"},"children":"$L105"}] 9e:["$","$L107",null,{"params":{"chatId":"ssM05jqRQ0L"},"promises":{"attributes":"$@108","externalMeta":"$@109","latest":"$@10a","messagesRange":"$@10b","messages":"$@10c","template":"$@10d","gitStatus":"$@10e"},"children":["$","$L10f",null,{"chatId":"ssM05jqRQ0L"}]}] e6:null 3c:o766,3f:[["$","title","0",{"children":"Video editing task completion - v0 by Vercel"}],["$","meta","1",{"name":"description","content":"chat1> https://v0.app/chat/qDHndlqBlQD Read the previous chats properly. please complete the task of video editing and provide me final output here \"WITHOUT..."}],["$","link","2",{"rel":"manifest","href":"/manifest.json","crossOrigin":"$undefined"}],["$","link","3",{"rel":"canonical","href":"https://v0.app/chat/video-editing-task-completion-ssM05jqRQ0L"}],["$","meta","4",{"property":"og:title","content":"Video editing task completion - v0 by Vercel"}],["$","meta","5",{"property":"og:description","content":"chat1> https://v0.app/chat/qDHndlqBlQD Read the previous chats properly. please complete the task of video editing and provide me final output here \"WITHOUT..."}],["$","meta","6",{"property":"og:image","content":"https://v0.app/chat/api/og/ssM05jqRQ0L"}],["$","meta","7",{"name":"twitter:card","content":"summary_large_image"}],["$","meta","8",{"name":"twitter:title","content":"Video editing task completion - v0 by Vercel"}],["$","meta","9",{"name":"twitter:description","content":"chat1> https://v0.app/chat/qDHndlqBlQD Read the previous chats properly. please complete the task of video editing and provide me final output here \"WITHOUT..."}],["$","meta","10",{"name":"twitter:image","content":"https://v0.app/chat/api/og/ssM05jqRQ0L"}],["$","link","11",{"rel":"icon","href":"/assets/icon-light-32x32.png","media":"(prefers-color-scheme: light)","sizes":"32x32","type":"image/png"}],["$","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"}],["$","$L110","15",{}]] 3c:o8,45:null 3c:o92f,118:"ExplicitChatIdProvider" 119:I[903690,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$118"] 11a:I[838238,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"SWRDataProvider"] 2c:T8,variants2c:T5,scope108:{"ok":true,"value":{"designSystemId":null,"title":"Video editing task completion","privacy":"public","access":1,"isAdmin":false,"isAuthor":false,"ownerId":"team_6xtQxcza4RbsyP2Fl37GDcdJ","authorId":"anon:KRPZS5f-BsdeG1RJ6fRdp","tailwindV4Default":true,"nextVersionDefault":16,"nextVersion15Default":false,"forceVMRendering":false,"isNextLiteReadOnly":false,"canWriteToChat":false,"ownerRestriction":null,"canManageChat":false,"chatCreatedAt":1790165346320,"hasBlock":false,"vercelProject":null,"hasGitConnection":false,"gitBase":null,"gitHead":null,"hasSnowflakeIntegration":false,"chatHasAnySnowflakeIntegration":false,"storageEntityType":"v0-git-s3-storage","storageEntityId":"v0-1-team_6xtQxcza4RbsyP2Fl37GDcdJ-ssM05jqRQ0L","vercelProjectId":null,"defaultPreviewPath":null,"agentWorkspace":false,"workspaceRuntime":false}} 109:{"ok":false,"error":{"error":"Unauthorized","statusCode":401,"errorCode":"2"}} 10a:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} 10b:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} 10c:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} 10d:{"ok":false,"error":{"error":"Unauthorized","statusCode":401,"errorCode":"2"}} 10e:{"ok":true,"value":null,"__seedOnly":true} f8:null 11c:[] 11d:[] 11e:[] 11f:[] 120:[] 121:[] 122:[] 123:[] 124:[] 125:[] 126:T5fd,3c:o5fd,Looking back at the previous conversation, the user had shared a lengthy script prompt along with six mp4 clips, wanting them stitched into a viral YouTube short complete with trims, stickers, text overlays, and sound effects, avoiding any AI watermark. I'm recalling that the earlier work involved setting up ffmpeg, pulling in the clips, generating contact sheets, analyzing the audio tracks, and installing transcription and font tools to support the editing process. I'm piecing together that the previous session went further—it ran Whisper for word-level timings, tested ASS subtitle rendering, wrote a segment-building script, and rendered several video segments before running out of available turns. Since this is a fresh chat with its own sandbox, none of those temporary files or downloaded assets carry over, meaning I'll likely need to reinstall ffmpeg, refetch the clips, fonts, and sound effects even though the user asked not to repeat completed work—though I can try to skip redundant planning steps where possible. I do remember the key decisions though: the clip specs, font choices, sound effects, and segment plan, so I don't need to re-derive those. But I still need actual asset files, which don't exist in this sandbox, so I should explain that briefly to the user. I'm also wondering if I can retrieve the actual build_segments.py script from the previous chat via some file-access tool, and I recall there was a pasted 159-line script hosted at a blob storage URL that I could try fetching directly. 3c:oa,127:T4472,3c:o4472,Since this is a fresh sandbox, I'll need to re-set up ffmpeg, clips, fonts, SFX, and stickers in one batch without re-exploring, then rerun build_segments.py since the previous concat base.mkv artifact doesn't persist across sandboxes. Next I'll write build_final.py handling ASS captions with karaoke word-highlighting, sticker overlays, SFX mix, music bed, and final encode, then deliver by copying the finished mp4 into public/ with a preview and download page. For the Whisper timings, I'm piecing together partial word-level data from the transcript across the three clips — clip 1's line about the paneer looking like a brick, clip 2's line about needing five minutes and turning the brick into shahi mithai, and clip 3 which seems to be a dialogue-free montage. I'm unsure whether clip 3 has baked-in on-screen step text already, and I want to avoid re-checking the contact sheet unnecessarily just to confirm whether step captions are needed. I know clip 1 already has baked-in text near the bottom around 6–7 seconds, which is why I trimmed it to 6.85 to avoid overlapping captions there. I'll generate one contact sheet of the concatenated base video at 2fps, tiled into a grid, so I can see everything at once rather than repeating the six individual sheets. For Whisper, I'm weighing whether re-running it (~40s plus model download) counts as repeating a completed task since the earlier word-timing output seems to have been truncated in the log — I need to check if I can recover the full timings instead. Since I can't recover the full output, I'll fall back on phrase-level caption timing using the approximate boundaries I already know: clip 1 runs roughly 1.66–5.98s, with "यह क्या" around 1.66–2.64, "ईंट जैसा पनीर मंगवा लिया?!" around 2.64–4.9, and the closing line starting near 5.05s. But honestly, re-running Whisper would give me reliable word-level timestamps for proper karaoke captions, and it's a fast, low-cost step compared to guessing at timing. Since word-by-word pop captions are what actually performs well for virality, I'll re-run Whisper in the background while segment rendering continues, since that runs concurrently and doesn't cost extra wall-clock time. I'll just note that the sandbox state didn't persist so downloads and renders needed re-execution, though none of the earlier decisions need revisiting — and I should stay mindful that the previous session already burned through several credits, so I need to be efficient going forward. My plan: first, a background bash step downloading ffmpeg, clips, fonts, a subset of SFX, one or two music tracks, and only the stickers I'll actually use, plus setting up a venv with faster-whisper and fonttools for the font instancing. Then I'll run the segment-building script in the background while simultaneously running Whisper transcription on several clips, followed by a quick contact sheet review of the base video, and finally writing the final build script that generates the ASS caption file with animated text and overlays stickers using ffmpeg's overlay filter with timed visibility and scaling. I'm now weighing how to animate stickers popping in -- ffmpeg's overlay filter can't easily animate scale per frame, and ASS can't embed images, so I'm considering pre-rendering each sticker as a short animated transparent clip, or checking whether ffmpeg's scale filter supports time-based expressions for a pop effect. Confirming scale filter's eval=frame mode exposes `t`, `n`, and `pos`, so I can drive a pop-in animation by looping the sticker PNG and scaling it with a time-dependent expression, then overlaying it centered with `enable=between(t,a,b)` to control timing. But I'm second-guessing whether ffmpeg's overlay filter properly handles an overlay input whose frame size changes mid-stream, since most filters don't support resolution changes well -- though the earlier script sidestepped this by scaling then cropping to a fixed output size, which suggests I should follow that same pattern here. A safer approach is to keep the sticker canvas at a fixed size and animate the sticker within it using scale combined with pad, centering the scaled content dynamically inside that fixed transparent frame. Actually pad's x/y offsets are only evaluated at configuration time, not per frame, so that won't achieve a smooth animated pop-in. `zoompan` is built for exactly this — it takes an image and outputs fixed-size frames with a zoom factor evaluated per output frame, but since zoompan crops and scales up (zoom-in), I need to think through how to invert that logic to get a grow-from-small pop effect instead of a crop-in effect. If I pad the sticker in a large transparent canvas and animate the zoom from 1 up to around 3, the sticker will appear to grow from small to filling the frame, which gives the pop-in effect I want. I'm unsure whether zoompan properly supports alpha/RGBA pixel formats since it relies on sws for scaling, so I should just test this directly rather than guess, and if it doesn't handle transparency well I'll fall back to generating the animation as a PNG sequence instead. For the PNG sequence approach, I'd use PIL to resize and composite each frame onto a transparent canvas, then feed that sequence into ffmpeg at 24fps and overlay it with an enable window. With roughly 10 stickers each needing about a second of animation, that's only a couple hundred small PNGs, which is trivial to generate. The tricky part is handling a sticker that pops in over 0.3s but then needs to hold steady for a couple seconds afterward — I need to decide whether to generate the full duration's worth of frames or find a way to loop just the final held frame instead of rendering every frame. Rather than duplicating hundreds of hold frames, I'll use ffmpeg's tpad filter with stop_mode=clone to extend and hold the last frame for the needed duration, then shift its timing with setpts and overlay it using eof_action=pass so it doesn't cut off early. I'll also add a subtle bobbing motion by making the overlay's y-position a sine function of time, and for the pop-out I can generate the pop-in frames in reverse and pad similarly. For simplicity though, I'm leaning toward just doing pop-in plus hold, then a quick alpha fade-out at the end rather than a mirrored shrink animation, since the added complexity of reversed frames isn't worth it. I'm also weighing zoompan as a shortcut for the pop-in scale effect versus falling back to PIL-generated frames if it doesn't handle RGBA well, and ruling out ASS vector drawing since it can't render actual emoji sticker images. I'm digging into whether ffmpeg's overlay filter can actually handle a varying-size overlay input frame-by-frame, since the blend functions pull width/height directly from the incoming frame rather than the link dimensions. Since the crop filter's variable evaluation is the same widely-used pattern paired with scale, I'm fairly confident this zoom+crop idiom will work as before. I'll test zoompan with rgba first as a quick sanity check, but keep PIL-rendered PNG sequences as the more deterministic fallback for the pop animation. For assembling the sticker overlays, I'm weighing options: building one full-duration transparent sticker layer versus chaining all overlay filters directly onto the base video. Chaining roughly a dozen overlays directly seems more practical than managing a heavy standalone RGBA video. Now I want to run everything in one ffmpeg pass with the ASS subtitle filter, layering captions on top of the stickers, and I'm mapping out the audio/SFX timeline by working through each segment's offset and duration in the final cut sequentially. I'm now tracking how dialogue lines map from their original clip timestamps to the new timeline positions, noting slam and pause timing for clip1 and clip2 so sound effects land precisely where the action occurs. For clip3's montage, I'm laying out four evenly-spaced two-second segments across the timeline, then shifting to clip4's dialogue offset (accounting for the 0.35s trim) so it lines up correctly before Kamla's next action begins. Then for clip5, I'm mapping the bite reaction and the "paneer melting" dialogue with its zoom punches and releases timed to key phrases, followed by Priya's entrance and wink right after the dialogue ends. Clip6 continues with the sped-up laughing segment leading into more dialogue and another zoom punch on the "comment below" line. Then I'm sketching the opening hook: Kamla's muted shock face with a "wait for it" text overlay and a vinyl-scratch rewind effect that transitions into the slam thud that opens clip1's own audio. On music, since each clip already has baked-in audio/music, layering a separate continuous music bed on top risks sounding muddy. I think it's better to keep the source audio and only add SFX punctuation, maybe reserving a music bed just for the muted hook segment, rather than running music underneath everything. Actually s0 needs a dramatic sting instead — heartbeat or drumroll tension building to "WAIT FOR IT," then vinyl stop into a slam. I'll skip continuous extra music to avoid clashing with the baked-in tracks and lean into SFX instead: crowd laughs, bass hits, whooshes on cuts, ta-da on the dish reveal, drumroll during the reach, sparkle on the pedas, cartoon surprise for Kamla's shock, cheers after "घुल गई", pops for text/stickers, a bell for subscribe, and a record scratch at the loop cut. Though I should double-check whether the clips actually have baked-in music before finalizing this. Confirming from the RMS check that most clips do carry baked-in music, so I'll settle on my Mixkit SFX shortlist covering vinyl scratch/stop, boom/whoosh impacts, crowd laughs and cheers, cartoon surprise and suspense cues, drumroll, heartbeat, and various whooshes to pull from. I'm rounding out the list with pop sounds, fanfare/achievement cues, magic sparkle whooshes, notification bells and dings, comedic fails like badumtss and trombone, plus a few utility hits like knife slice and wood hit, and two music tracks (comical, kidding_around) to use as backing. Now I'm picking Fluent 3D stickers to pair with each sound cue — planning which emoji-style stickers (scream, collision, brick, enraged, etc.) fit each scene like the slam moment or Kamla's angry reaction. For the shoe sole scene I'll consider a running shoe sticker, for Priya's smirk a stopwatch or crown for "5 minutes" and "royal sweet," and for the montage a fire/sparkles combo with a "100" sticker on "ready." For the tasting scene I'll use wide eyes and flushed face for tension, then drool or yum for the bite, mindblown for shock, and starstruck plus a heart for "it melted." The laugh moment gets a joy emoji, and the CTA closes with speech bubble, point-down, bell, and party stickers -- all set in Poppins-Black. Poppins does have Devanagari glyphs, and my test render confirmed it draws Hindi text correctly, so that font choice works. Fontconfig throws a config-file warning but the fontsdir override handles it fine. Now I'm working out the caption style—showing each phrase in white with the currently-spoken word popping in yellow for a karaoke effect. I'm leaning toward a trending CapCut-style look with bold 2-4 word chunks popping in centered above the Shorts safe area, using scale-based pop-in animation and per-word color switching via ASS karaoke tags so each word highlights as it's spoken. For the highlight effect, I'll instead generate separate Dialogue lines per word timing, coloring the active word yellow within the chunk text and reserving the pop-in animation for just the first line of each chunk. I still need accurate word timings, so I'm running Whisper again on clips 1, 2, 4, 5, and 6 in the background while other segments render, though the transcription may drift slightly from the intended script. Rather than relying purely on Whisper, I'm thinking of aligning script words to Whisper's timed words by position or proportional character length when counts don't match exactly. Alternatively, I could skip Whisper entirely and just distribute words across known phrase spans proportionally by character length, accepting a small timing offset as good enough. Whisper's small model is about 460MB and takes roughly 40 seconds including download, so I'll run it in the background. For captions, I'll keep them in Devanagari matching the spoken Hindi script but preserve English loanwords like "soles" and "disaster" in Latin script, breaking each line into natural phrase chunks for the karaoke-style highlighting. Finishing Clip6 with Priya asking viewers which disaster to fix next and to drop suggestions in comments. I'm noting I should stay flexible on exact wording since the AI voice may deviate slightly from script, but I'll trust the script unless Whisper's transcript shows a big mismatch in word count. Now for the title overlays - since emojis won't render in the ASS font, I need to swap those for stickers instead. For scene 0, I'm thinking a bold Anton "WAIT FOR IT" pop-in at the top paired with a smaller Baloo caption like "सास ने चखा तो..." plus a scream sticker, rather than trying to embed the emoji directly in text. I'm mapping out timing for the slam moment: text "ईंट या पनीर?!" with brick and collision stickers at the top, followed by dialogue captions. I need to check that the caption timing doesn't overlap with the baked-in text that appears around 7.1s in the timeline, since the dialogue captions end at 7.08s, just before that baked-in text shows up. For s2, I'm adding a "CHALLENGE ACCEPTED 😏" label with a smirk sticker around 8-9.9s, plus a stopwatch sticker near the "5 मिनट" mention and a crown sticker at "शाही मिठाई". For s3, I need to check whether clip 3 already has baked-in step text before deciding whether to add labels like "STEP 1 · घिसो" through "STEP 4 · तैयार ✨" with a "5-MIN HACK 🔥" top label, and for s4 I'm planning a "MOMENT OF TRUTH 😳" label around the 26.8-29s mark when Kamla reaches the reveal. For s5, I'll add "PLOT TWIST 🤯" text with a mindblown sticker at the shock moment, then starstruck eyes, sparkles and crowd cheer sound at "घुल गई"; s6a gets a joy sticker with crowd laughter, and s6b closes with the CTA "अगला disaster? 👇 COMMENT" and a bouncing "SUBSCRIBE 🔔" with bell sticker and pop SFX before looping back to the opening hook. I'm deciding to skip a fake progress bar and need to keep captions centered vertically around y≈1380 to stay clear of the bottom title/description safe zone and the right-side like/comment button zone. For audio, I'm planning to normalize the final mix using two-pass loudnorm targeted at -14 LUFS for YouTube, measuring loudness first and applying those values rather than relying on single-pass processing to avoid pumping artifacts. For the sound effects, since I can't listen to them directly, I'll measure peak levels with astats and calculate gain adjustments to hit target peaks per effect type—around -6 dBFS for impacts, -10 for pops, and -12 for laughs—delaying each with adelay to place them correctly in the timeline. For the mix, I'll disable normalize in amix and add a limiter, then apply loudnorm on the final mix rather than compressing individual dialogue clips despite their RMS variance. To keep dialogue intelligible, I'll place SFX mostly during non-dialogue moments and keep reaction sounds like laughs at a moderate level so they don't mask speech—sticking with hard cuts for transitions since that suits Shorts format. I'm plotting whoosh sound effects at each major cut point and considering a quick white-flash transition using an ASS full-screen rectangle with fade timing for montage bookends at a couple of the scene changes—simple to implement and visually effective. I'll skip adding speed lines or shake effects to keep things clean. Now it's time to actually execute: first, a foreground bash command to grab the ffmpeg static build, clips, fonts, sound effects, music, and stickers, plus set up a uv venv with faster-whisper, fonttools, and pillow, running downloads in parallel with a five-minute timeout since the ffmpeg tarball and whisper install could otherwise risk timing out. Then I'll kick off a background process to instantiate the Baloo2 XB font variant and run the segment-building script, while separately starting Whisper transcription on the clips once the necessary wav files are generated via ffmpeg. I'm mapping out font sources — Poppins-Black, a variable Baloo2 weight instance, and Anton — along with their family names, plus sticker asset paths from the fluentui-emoji repo for things like a running shoe, cheese wedge, alarm clock, and various emoji faces. I'm settling on a final list of 28 stickers covering expressions like scream, exploding head, joy, fire, crown, sparkles, flushed, star-struck, and objects like a red heart, bell, speech balloon, party popper, and running shoe, each rendered as 256x256 PNGs. The 256px assets will slightly upscale on a 1080-wide canvas at target sizes around 220-300px, which should still look acceptable even with the pop overshoot. Now I'm writing a reusable setup script for the video-edit project, `setup_assets.sh`, so the asset preparation is reproducible before I run it. 3c:oa,128:T2a48,3c:o2a48,I'll skip the zoompan comparison and just use PIL frames for the sticker pop effect, then start building build_final.py which loads segments and words data and maps source-clip timing onto the timeline based on each segment's offset, trim range, and speed. From there, the plan is to generate the ASS subtitle file with karaoke caption styles, label styling, and flash events, then produce sticker pop-frame PNG sequences and assemble everything through an ffmpeg filter_complex chain — overlaying ass-rendered captions and time-shifted sticker sequences with fades. I'm working through a tricky issue with framesync behavior when overlaying a sticker input that starts later than the main video, since overlay's frame-sync handling before the secondary input's first frame needs careful handling with eof_action and shortest settings. So when the overlay input's frame is NULL before it starts, the main frame passes through unchanged, confirming why that pattern works, and the "after" infinity behavior means the enable expression is what actually stops the overlay at the end. I'm also considering whether chaining many overlays is even necessary versus pre-compositing everything into one ASS-based approach. For the sticker sequences themselves, each placement needs a pop-in animation with ease-out-back scaling over about 8 frames, followed by a hold using tpad, then a fade-out. I'm also adding a subtle idle bob using a sine-based y-offset in the overlay expression, and considering whether to add rotation wiggle effects for certain stickers to give a shake-style emphasis on collision moments. Actually, I'm simplifying by generating every frame for the full visible duration of each sticker directly in PIL, baking in the fade and any wiggle there, so ffmpeg only needs to handle a timed overlay with no tpad. This keeps the pipeline cleaner even with many short PNG sequences across ~20 stickers. For audio, I'm mixing the base track with each SFX clip using per-clip volume and delay, then running amix with duration set to match the base, followed by loudness normalization and a limiter. For captions, I need to map script words to whisper word timings by proportionally distributing character positions across the whisper timeline so each script word gets an estimated start and end time. For the highlight color, I'm confirming the ASS hex works out to yellow-orange, matching what I used before. As for the per-word highlight effect, I'm ruling out a background box since that only works per-line in ASS, so instead I'll scale up the active word slightly using inline override tags for a subtle pop effect. Working out pop-in animation timing with per-word scale tags... Writing highlight animation markup... I also need to check line width — with chunks capped at 4 words, most fit on one line, but I should verify the character count against the 76px Poppins Black font to be safe. Now I'm setting the smart wrap style with margins, and planning the label overlays: a "सास का REACTION" caption in bold Baloo2 with a scream sticker positioned nearby, plus a bottom "WAIT FOR IT" tag for suspense. For the second label at the slam moment, I realize Anton doesn't support Devanagari, so I'll switch to Baloo2 XB for the Hindi caption text instead. For a viral, punchy visual style, I'm setting the labels with white or yellow fill and thick black or dark red outlines, pairing them with brick and collision stickers timed to the slam. For the challenge segment, I'm laying out "CHALLENGE ACCEPTED" in bold Anton with a smirk sticker and slight rotation, plus a stopwatch sticker synced to the "5 मिनट" line and a crown sticker for the royal sweet reveal. For the montage section, I'm planning a "5-MIN HACK" header with a fire sticker and considering step labels, though I want to check the contact sheet first since clip3 might already have baked-in text. I'm also adding white flash transitions at the montage bookends, a "MOMENT OF TRUTH" label with a flushed sticker and heartbeat/drumroll sound cues at the reveal moment, and a "PLOT TWIST" label timed to the shock reaction. Continuing the timeline, I'm layering in a mindblown pop with cartoon surprise and bass hit SFX at the twist, then starstruck sparkle stickers with crowd cheer/applause when the payoff line lands. For Priya's wink I'm adding a smirk/thumbsup sticker with a bonus SFX cue (skipping an explicit label), followed by joy/rofl stickers with big crowd laughter, and finally a "COMMENT" callout with speech and point-down stickers at the call-to-action line. Near the end I'm placing a red "SUBSCRIBE" box with a bell sticker and notification chime right before the 44.28s cutoff, keeping it tight since the loop is short. The video ends abruptly mid-word to loop back to the start, so I'm keeping the hard cut rather than adding a transition sound, per the seamless loop requirement. For the opening beat I'm considering a trimmed suspense/heartbeat sound for the first 1.1 seconds plus a vinyl scratch just before the slam to build anticipation into the loop restart. Now I'm sketching a fuller SFX timeline: a cinematic whoosh with low heartbeat at 0.0, a vinyl stop around 0.75, then a big impact plus a short bass hit right at the 1.1s slam. After that, a hard pop for the first label appearing around 1.35s, followed by a bubble pop for the brick sticker around 1.5s. I'm also considering a low boing sound around 6.5s when the dialogue mentions shoe soles, paired with a shoe sticker animation, though I'm holding off on adding SFX during the main dialogue itself. I'll settle on `bass_hit_short` for the 7.1 dramatic text, then map out the rest: `whoosh_fast` at the 7.95 cut, `pop_hard` and `pop_bubble` for the smirk sticker moment, `cooking_ding` at the stopwatch pop, `magic_glitter` for the crown at 11.6, and I'm still deciding on something for the grater scrape and cut around 14.85-14.95. For the montage section, I'm using `game_slide` for each step change through 16.55-19.75, then a big `level_complete`/fanfare with sparkles when "तैयार" appears, followed by `whoosh_cine` with a flash at the 21.37 cut. As Priya's dialogue plays out toward 26.64, I'm building tension with `drumroll_tension` and `heartbeat` as Kamla reaches for the bite around 26.8, with another `pop_hard` layered in. Then the bite/chew sequence from 29.0-30.9 needs something playful — maybe a drool sticker — before hitting `cartoon_surprise` for the shock moment at 30.9. For the shock beat, I'm layering `bass_hit_short` with the surprise sound, plus a `trailer_impact` for the "PLOT TWIST" text pop right after. The reveal moment gets `crowd_cheer` and `magic_sparkle_whoosh` with a starstruck sticker, then transitioning to `crowd_laugh_applause` as Priya winks, with a `correct_tone` cue and thumbsup sticker on the wink itself. The laugh-together moment at 37.1 needs a bigger `crowd_laugh_big` with a joy sticker, and I'm marking `whoosh_fast` for the cut at 39.4. Then for the CTA section, I'm adding `pop_message` with speech and pointdown stickers for the comment prompt, and a `bell_notification` with bell sticker for the subscribe beat. Now I'm setting target peak levels for each SFX category—whooshes around -8dB, impacts -4, pops -9, laughs -12 so they sit under dialogue, plus drumroll, heartbeat, and fanfare levels—planning to measure actual peaks with astats and calculate gain adjustments accordingly. I'm deciding to leave the base audio mostly untouched, apply two-pass loudnorm to -14 LUFS with -1.5 true peak for the final mix, and encode video with a fairly high-quality x264 setting plus AAC audio at 192k for the roughly 44-second 1080p output. The output file will land around 25-40MB, which is fine to place directly in public/ for delivery rather than dealing with Blob storage — I'll build a simple page with a video element and download link. I'm also drafting an ASS flash overlay effect as a brief white full-screen fade for punctuation, then planning to move on to writing build_final.py once whisper transcription and segment data are ready, and I still want to check the base contact sheet to confirm placement of all these overlays. Now I'm sketching out the sticker generation logic in PIL: each placement has a name, sticker image, position, size, timing window, animation style (pop, pop+wiggle, or shake), and a short fade-out, with frame count derived from duration at 24fps and an ease-out-back curve driving the pop scale over time. I'll size the canvas to fit the overshoot and rotation, fading out over the last 0.12 seconds. Then I'll load the sticker with PIL, resize and rotate it with expansion, paste it centered onto the canvas, and save as PNG, using LANCZOS resampling for speed. For positioning I'm computing overlay coordinates from the center point plus bob offset, and setting the enable window to the animation's start/end times with eof_action set to 'pass' so the main video continues playing normally once the overlay sequence ends. I also need to account for the image sequence's implicit duration based on frame count and framerate when setting timestamps. At around 1062 total frames with roughly 20 overlays plus subtitle rendering, the encode should still run in a reasonable time with libx264 on medium preset. I'm also noting the audio mixing concern—base track is 48kHz while sound effects are likely 44.1kHz, so ffmpeg will need to resample before mixing with amix. To be safe I'll explicitly add resampling and format conversion to each SFX chain rather than relying on automatic negotiation. Now I need to build the subtitle timing logic: a function that maps source clip time back to the final timeline by finding the matching segment, excluding the muted clip5 segment from dialogue mapping, and converting through the offset and speed factor. For word-level alignment between the script and Whisper's transcription, I'm working out how to handle mismatched word counts — when lengths match I zip directly, otherwise I build a proportional character-based mapping using cumulative character counts across Whisper's word timestamps to estimate where each script word falls in time. I'm also considering whether Whisper might hallucinate at clip boundaries, checking that ASS caption text is safe for special characters, and planning a fallback with hardcoded phrase spans in case words.json is missing. Now I'm defining the ASS subtitle styles, setting fonts, colors, outline sizes, and margins for captions and labels. Still defining subtitle styles... Step labels for the montage can wait until I've reviewed the contact sheet from base.mkv. I should check progress on the segments now, but actually let me write build_final.py first since it's the bigger piece, then circle back. 3c:o5675,105:["$","$L107",null,{"params":{"chatId":"ssM05jqRQ0L"},"promises":{"attributes":"$@111","externalMeta":"$@112","latest":"$@113","messagesRange":"$@114","messages":"$@115","template":"$@116","gitStatus":"$@117"},"children":["$","$L119",null,{"chatId":"ssM05jqRQ0L","children":["$","$L11a",null,{"seedOnlyKeys":["@\"chat:state\",\"ssM05jqRQ0L\","],"data":{"block:output:initial":null,"/chat/api/snapshots/proxy?chatId=ssM05jqRQ0L&messageId=LbFcWfBfFQvGZPvOurkSHSvF6mZwnj3l&v=v2":"$@11b","@\"block:mappings\",\"ssM05jqRQ0L\",":{"sqlBlockExecutionStates":"$Q11c","blocksForkedFrom":"$Q11d","blocksTemplateIds":"$Q11e","blocksCreatedAt":"$Q11f","blocksShared":"$Q120","blocksDeployed":"$Q121","blocksSubdomains":"$Q122","brandedBlocks":"$Q123","unlistedBlocks":"$Q124","blockOutputs":"$Q125"},"@\"chat:state\",\"ssM05jqRQ0L\",":{"messages":[{"content":{"type":"parts","parts":[{"type":"mdx","content":"chat1> https://v0.app/chat/qDHndlqBlQD\nRead the previous chats properly.\nplease complete the task of video editing and provide me final output here \"WITHOUT REPEATING ANY PREVIOUSLY COMPLETED TASK\""}],"version":1},"role":"user","id":"tZ2LtXuzEuEV3ISvqE4plDXBPgpdBa2Q","attachments":[],"type":"message","authorId":"oTDlIPyFY73SYZ8paCZjCLx0","createdAt":"$D2026-09-23T12:08:59.122Z"},{"v0ModelId":"anthropic/claude-fable-5.1","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1790165355081,"finishedAt":1790165355099,"lastPartSentAt":1790165355099,"taskNameActive":null,"id":"jgp2wVTUF3FuPYco","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"The user wants me to look at their previous v0 chat to avoid repeating completed work before continuing this video editing task, so I need to find the right tool to pull up that chat's history.\n\n"}]}}],["p",{},["text",{},"I'll start by locating the tools needed to read the referenced chat."]],["AssistantMessageContentPart",{"part":{"createdAt":1790165361220,"finishedAt":1790165361231,"lastPartSentAt":1790165361231,"taskNameActive":null,"id":"jQBTDbaJXj0YV1Ho","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I should look for tools that let me retrieve a chat's messages, so I'll search more specifically for that.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165367444,"finishedAt":1790165368944,"lastPartSentAt":1790165368809,"taskNameActive":"Reading previous chat","taskNameComplete":"Read previous chat","toolCallId":"toolu_01SKekjZ4GAP8wtdkYe7sCDx","agentTurnId":"turn_xHT1Ve4XsaRf4k3J","mcpName":"v0","filePath":null,"id":"Nm6PnsN19fmw9Tch","type":"task-dynamic-tool-v1","parts":[{"type":"starting-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7","input":{"chatId":"qDHndlqBlQD","limit":100},"permissionPrompt":"Reading the message history of chat qDHndlqBlQD to understand the previously completed video-editing work."},{"type":"finished-dynamic-tool-execution","toolName":"v0_messages_list_T32Xqzfy7ZaiB0-7"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165375222,"finishedAt":1790165375546,"lastPartSentAt":null,"taskNameActive":"Reading chat history","taskNameComplete":"Read chat history","toolCallId":"toolu_01SPEiqgzhJHX7NYq6CWX1vJ","agentTurnId":"turn_0cN6HPeljsyrdplP","filePath":null,"id":"wTPejO3AxHLjQ1Ox","type":"task-read-file-v1","parts":[]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165382023,"finishedAt":1790165382371,"lastPartSentAt":null,"taskNameActive":"Reading chat history","taskNameComplete":"Read chat history","toolCallId":"toolu_01LixFdDNEDv784DozB41VLj","agentTurnId":"turn_drre6B99vOya6C4w","filePath":null,"id":"uuo6HP7kxN6359fI","type":"task-read-file-v1","parts":[]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165388023,"finishedAt":1790165388334,"lastPartSentAt":null,"taskNameActive":"Reading chat history","taskNameComplete":"Read chat history","toolCallId":"toolu_01UY94ZZsFAJNe9bTkwgaGoE","agentTurnId":"turn_vP51Nppm4NWmZXpi","filePath":null,"id":"RWQ17n38OFiQEq4q","type":"task-read-file-v1","parts":[]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165394391,"finishedAt":1790165395663,"lastPartSentAt":1790165395663,"taskNameActive":"Reading chat history","taskNameComplete":"Read chat history","toolCallId":"toolu_01JZfzRt6UQQqLGuCHj6jQ9H","agentTurnId":"turn_CSwVCdgV3EBzdaxL","filePath":null,"id":"BsCzbUYuLGMz6Iv6","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/reading-previous-chat-v0-messages-list-t32-xqzfy7-zai-b0-7-bru-p.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/reading-previous-chat-v0-messages-list-t32-xqzfy7-zai-b0-7-bru-p.txt","offset":491,"limit":87}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165402983,"finishedAt":1790165420361,"lastPartSentAt":1790165420361,"taskNameActive":null,"id":"14Yl4glO4wmv0wOU","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":17,"thought":"$126"},{"type":"thinking-end","duration":17,"thought":"Reviewing the prior session, I see tooling, assets, and segment rendering were completed, but compositing (overlays, SFX/music mix, final encode) never happened. I'll now check if the build script and artifacts carried over into this project before continuing that work.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165426430,"finishedAt":1790165427439,"lastPartSentAt":1790165427239,"taskNameActive":"Fetching previous build script","taskNameComplete":"Fetched previous build script","toolCallId":"toolu_01R7AJmQbkYjhagZh5uK7piF","agentTurnId":"turn_heKmdKCO4HDoTjrc","mcpName":"v0","filePath":null,"id":"KMmrKLMLJxQHzYPI","type":"task-dynamic-tool-v1","parts":[{"type":"starting-dynamic-tool-execution","toolName":"v0_chats_getFiles_gluGMDz7j-U1MvlR","input":{"chatId":"qDHndlqBlQD"},"permissionPrompt":"Reading the source files (video-edit/build_segments.py) from chat qDHndlqBlQD so the completed segment plan can be reused without redoing it."},{"type":"finished-dynamic-tool-execution","toolName":"v0_chats_getFiles_gluGMDz7j-U1MvlR"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165435854,"finishedAt":1790165436041,"lastPartSentAt":1790165436041,"taskNameActive":"Locating build script","taskNameComplete":"Located build script","toolCallId":"toolu_01XcNweG61qMHFivMRbDDLFk","agentTurnId":"turn_VgcyMcGHC27DtJkw","filePath":null,"id":"J0YMpDcCEBGRntI8","type":"task-grep-repo-v1","parts":[{"type":"grepping-repo","pattern":"\"path\": \"","path":"/vercel/share/v0-project/user_read_only_context/tool_content/fetching-previous-build-script-v0-chats-get-files-glu-gmd-z7j-u1-mvl-r-wz-mw.txt"},{"type":"grep-file-results","numFileMatches":1}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165441967,"finishedAt":1790165442367,"lastPartSentAt":1790165442367,"taskNameActive":"Reading build script","taskNameComplete":"Read build script","toolCallId":"toolu_01GRoSGnLqeNPJgUnC2mnBXk","agentTurnId":"turn_YeqGcOk1LIDQ8rAw","filePath":null,"id":"IlMbb8insqHHE4EM","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/tool_content/fetching-previous-build-script-v0-chats-get-files-glu-gmd-z7j-u1-mvl-r-wz-mw.txt"},{"type":"reading-file","filePath":"user_read_only_context/tool_content/fetching-previous-build-script-v0-chats-get-files-glu-gmd-z7j-u1-mvl-r-wz-mw.txt","offset":114,"limit":9}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165449966,"finishedAt":1790165449982,"lastPartSentAt":1790165449982,"taskNameActive":null,"id":"iLMQjfPBlYCe7C6o","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"The content seems truncated in the display, so I'll try using Python to parse the JSON directly and extract the full file content, then write it into build_segments.py in the project.\n\n"}]}}],["p",{},["text",{},"The build script exists in the old chat. Let me extract it fully into this project (it's truncated in the display) and also pull the original 159-line script prompt."]],["AssistantMessageContentPart",{"part":{"createdAt":1790165454865,"finishedAt":1790165455520,"lastPartSentAt":1790165455461,"taskNameActive":"Extracting build script","taskNameComplete":"Extracted build script","toolCallId":"toolu_016uKDsBzzxDWMdDwpYuZwzM","agentTurnId":"turn_W8ljtI2v1LTh7Mou","filePath":null,"error":{"type":"HANDLED_EXECUTION_ERROR","message":"Retrying file access","code":"AGENT_GUIDANCE"},"id":"KLly7O6stfWjJJlq","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project && mkdir -p video-edit && python3 - <<'EOF'\nimport json\nd=json.load(open('user_read_only_context/tool_content/fetching-previous-build-script-v0-chats-get-files-glu-gmd-z7j-u1-mvl-r-wz-mw.txt'))\nfor f in d['data']['files']:\n if f['path']=='video-edit/build_segments.py':\n open('video-edit/build_segments.py','w').write(f['content'])\n print(len(f['content']), 'bytes written')\nEOF\nwc -l video-edit/build_segments.py; mkdir -p /tmp/edit && curl -sSL -o /tmp/edit/script.txt \"https://hebbkx1anhila5yf.public.blob.vercel-storage.com/%5BPasted%20159%20lines%5D-N8HhbCdAlsf1zj0UCmyShoGukM06BC\" && wc -l /tmp/edit/script.txt"}}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165461521,"finishedAt":1790165462255,"lastPartSentAt":1790165462255,"taskNameActive":"Copying tool output","taskNameComplete":"Copied tool output","toolCallId":"toolu_01B4zMAjYsyhaR26h2YzgkJV","agentTurnId":"turn_BR3G6yKNWP0nH2qZ","filePath":null,"id":"K54bqfkiIlS7FWBy","type":"task-move-file-v1","parts":[{"type":"copied-file","sourcePath":"user_read_only_context/tool_content/fetching-previous-build-script-v0-chats-get-files-glu-gmd-z7j-u1-mvl-r-wz-mw.txt","destinationPath":"/vercel/share/v0-project/video-edit/_prev_files.json"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165462292,"finishedAt":1790165462292,"lastPartSentAt":1790165462292,"agentTurnId":"turn_BR3G6yKNWP0nH2qZ","id":"4Fw3hKvpymffuNmw","type":"task-finished-file-edits-v1","parts":[{"type":"finished"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165471161,"finishedAt":1790165472610,"lastPartSentAt":1790165472465,"taskNameActive":"Extracting build script","taskNameComplete":"Extracted build script","toolCallId":"toolu_017z92TyMEfUV6Tz7Lsg6iSC","agentTurnId":"turn_IX8lXrNBVBwjm4cC","filePath":null,"id":"7eH0ZqcxlkRB0yhO","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /vercel/share/v0-project/video-edit && python3 - <<'EOF'\nimport json\nd=json.load(open('_prev_files.json'))\nfor f in d['data']['files']:\n if f['path']=='video-edit/build_segments.py':\n open('build_segments.py','w').write(f['content'])\n print(len(f['content']), 'bytes written')\nEOF\nrm -f _prev_files.json; wc -l build_segments.py; mkdir -p /tmp/edit && curl -sSL -o /tmp/edit/script.txt \"https://hebbkx1anhila5yf.public.blob.vercel-storage.com/%5BPasted%20159%20lines%5D-N8HhbCdAlsf1zj0UCmyShoGukM06BC\" && wc -l /tmp/edit/script.txt"}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_8b3368a9fadb4bbb9da07484f7e3","taskId":"bash_cmd_8b3368a9fadb4bbb9da07484f7e3"},"id":"qqc2tbw4mrD61JFE"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"4963 bytes written\n116 build_segments.py\n158 /tmp/edit/script.txt\n"},"id":"k7K039DGjcjySHKf"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165477217,"finishedAt":1790165477391,"lastPartSentAt":1790165477390,"taskNameActive":"Reading build script","taskNameComplete":"Read build script","toolCallId":"toolu_017zFwnPXUboM26YgJRygRzL","agentTurnId":"turn_Q0rdEPAoqHKOel11","filePath":null,"id":"hka252rLggGhMduw","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/vercel/share/v0-project/video-edit/build_segments.py"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165481723,"finishedAt":1790165481859,"lastPartSentAt":1790165481858,"taskNameActive":"Reading original script","taskNameComplete":"Read original script","toolCallId":"toolu_01UTZ4EDcNuCk5F7FScMK1gm","agentTurnId":"turn_FyWypGi00n2duS3I","filePath":null,"id":"bHyytarl8ij9h9gE","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"/tmp/edit/script.txt"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165490451,"finishedAt":1790165687179,"lastPartSentAt":1790165687179,"taskNameActive":null,"id":"fN3Tz9BsHdQgknXC","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":197,"thought":"$127"},{"type":"thinking-end","duration":197,"thought":"I've confirmed captions, SFX mix, final encode, and delivery were never completed. Since the old sandbox assets aren't carried over, I'll re-fetch assets and re-render the segments, but reuse all prior decisions (fonts, SFX, stickers, cut points) rather than redo the analysis—setting up the environment now.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165687181,"finishedAt":1790165719382,"lastPartSentAt":1790165719382,"taskNameActive":"Writing asset setup script","taskNameComplete":"Wrote asset setup script","toolCallId":"toolu_01BsDGShqoULUHJL3nfQkCpm","agentTurnId":"turn_YY6fnps2Z337MNge","filePath":"/vercel/share/v0-project/video-edit/setup_assets.sh","id":"Rjh3WbP4y1ZVvqTz","type":"task-write-file-v1","parts":[{"type":"written-file","filePath":"/vercel/share/v0-project/video-edit/setup_assets.sh"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165719421,"finishedAt":1790165719421,"lastPartSentAt":1790165719421,"agentTurnId":"turn_YY6fnps2Z337MNge","id":"Lqc2pfqZ3B8YwNsx","type":"task-finished-file-edits-v1","parts":[{"type":"finished"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165724914,"finishedAt":1790165731640,"lastPartSentAt":1790165731380,"taskNameActive":"Fetching tooling and assets","taskNameComplete":"Fetched tooling and assets","toolCallId":"toolu_01PeokvHyoLf2FJSTyxaqaHL","agentTurnId":"turn_mmtP4Fx2XTKUqzLf","filePath":null,"id":"0T3ImcRxuMKcIQSK","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"bash /vercel/share/v0-project/video-edit/setup_assets.sh 2>&1 | tail -15","timeout":400000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_5df41f1f4eb94ccbb369cb3a7840","taskId":"bash_cmd_5df41f1f4eb94ccbb369cb3a7840"},"id":"r3sBvvJ5D1sY3h74"},{"type":"subtask-log","data":{"logType":"poll-terminal-output","delta":"ffmpeg: ffmpeg version 7.0.2-static\nclips: 6 fonts: 3 sfx: 41 stickers: 28\npy ok\n"},"id":"dkRwdhz41uztTkaB"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165739439,"finishedAt":1790165741448,"lastPartSentAt":1790165741448,"taskNameActive":null,"id":"Iv4M7H8rW2dJZbXc","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"All assets are in with no bad files, so now I can run two things in parallel: instantiating the Baloo2 XB font and running the segment build script, while also getting Whisper word timings for clips 1, 2, 4, 5, and 6 into the words file. I'll write a small reusable Whisper script into the video-edit folder for reproducibility.\n\n"},{"type":"thinking-end","duration":2,"thought":"All assets loaded successfully (41 SFX, 28 stickers, 3 fonts, no errors). Now running the segment render and Whisper word-timing extraction in parallel—the latter needs regenerating since its previous output was truncated.\n\n"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165741464,"finishedAt":1790165746462,"lastPartSentAt":1790165746461,"taskNameActive":"Writing word-timing script","taskNameComplete":"Wrote word-timing script","toolCallId":"toolu_016i1Myi5rcxJDwwvaN2NtSx","agentTurnId":"turn_YmfbjdoCHxGQXIno","filePath":"/vercel/share/v0-project/video-edit/word_timings.py","id":"Ie0t8jSJe9hfihEa","type":"task-write-file-v1","parts":[{"type":"written-file","filePath":"/vercel/share/v0-project/video-edit/word_timings.py"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165746494,"finishedAt":1790165746494,"lastPartSentAt":1790165746494,"agentTurnId":"turn_YmfbjdoCHxGQXIno","id":"fKETn22VLPciKnf2","type":"task-finished-file-edits-v1","parts":[{"type":"finished"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165762464,"finishedAt":1790165763615,"lastPartSentAt":1790165763606,"taskNameActive":"Rendering segments","taskNameComplete":"Rendered segments","toolCallId":"toolu_01U9zMixXsKQTfGeciBAnmzq","agentTurnId":"turn_Y7UvkyW2tA8NPbqc","filePath":null,"id":"QeJuP21XfJs58cmh","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /tmp/edit && /tmp/wenv/bin/python - <<'EOF'\nfrom fontTools.ttLib import TTFont\nfrom fontTools.varLib import instancer\nt = TTFont('/tmp/edit/fonts/Baloo2-VF.ttf')\ninst = instancer.instantiateVariableFont(t, {\"wght\": 800})\nfor rec in inst['name'].names:\n if rec.nameID in (1, 16): rec.string = 'Baloo2 XB'\n if rec.nameID in (2, 17): rec.string = 'Regular'\n if rec.nameID == 4: rec.string = 'Baloo2 XB'\n if rec.nameID == 6: rec.string = 'Baloo2XB'\ninst['OS/2'].usWeightClass = 800\ninst.save('/tmp/edit/fonts/Baloo2XB.ttf')\nprint('Baloo2 XB instanced')\nEOF\nrm -f /tmp/edit/fonts/Baloo2-VF.ttf; ls /tmp/edit/fonts; time /tmp/wenv/bin/python /vercel/share/v0-project/video-edit/build_segments.py 2>&1 | tail -12","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_3918c60bbfd346948449fd882596","taskId":"bash_cmd_3918c60bbfd346948449fd882596"},"id":"trkZwCn2R2Xl5zNq"},{"type":"subtask-running-in-background"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165772816,"finishedAt":1790165773832,"lastPartSentAt":1790165773807,"taskNameActive":"Extracting word timings","taskNameComplete":"Extracted word timings","toolCallId":"toolu_011NQumZxkDm9kpAUdJ6Buhc","agentTurnId":"turn_lZlg3IjHiEJZuuck","filePath":null,"id":"CixF2TNqm4qtZoww","type":"task-subtask-v1","parts":[{"type":"subtask-started","data":{"subtaskType":"bash","command":"cd /tmp/edit && /tmp/wenv/bin/python /vercel/share/v0-project/video-edit/word_timings.py 2>&1 | grep -v -i \"hf_token\\|unauthenticated\\|^$\"","timeout":600000}},{"type":"subtask-log","data":{"logType":"created-terminal","terminalId":"cmd_9a765e5f73054ab08f0bf83899d6","taskId":"bash_cmd_9a765e5f73054ab08f0bf83899d6"},"id":"YkcTO2vRKfk0KikH"},{"type":"subtask-running-in-background"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790165781595,"finishedAt":1790165914985,"lastPartSentAt":1790165914985,"taskNameActive":null,"id":"9cWduT3frqESFh8O","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":133,"thought":"$128"}]}}],["p",{},["text",{},"While those render, I'll write the final compositing step (captions, labels, animated stickers, SFX mix, encode). This is the piece that was never built."]],["AssistantMessageContentPart",{"part":{"createdAt":1790165914989,"finishedAt":1790166005384,"lastPartSentAt":1790166005383,"taskNameActive":"Writing final compositor","taskNameComplete":"Wrote final compositor","toolCallId":"toolu_012S9vv4SQ6u5psEiA44gKtr","agentTurnId":"turn_DrkEjkMtgxM5Emfm","filePath":"/vercel/share/v0-project/video-edit/build_final.py","id":"LyefXD3SySBuLNvs","type":"task-write-file-v1","parts":[{"type":"written-file","filePath":"/vercel/share/v0-project/video-edit/build_final.py"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790166005604,"finishedAt":1790166005604,"lastPartSentAt":1790166005604,"agentTurnId":"turn_DrkEjkMtgxM5Emfm","id":"Fo0Gd1prM5nZmcT9","type":"task-finished-file-edits-v1","parts":[{"type":"finished"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790166012075,"finishedAt":1790166012533,"lastPartSentAt":1790166012533,"taskNameActive":"Checking word timings","taskNameComplete":"Checked word timings","toolCallId":"toolu_01UBBxsuKZga3BoaSertK2ut","agentTurnId":"turn_n5nQ3kd4zLHirRPX","filePath":null,"id":"CakyZJFXQMDDTpeV","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/task_output/bash_cmd_9a765e5f73054ab08f0bf83899d6"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1790166012769,"finishedAt":1790166012769,"lastPartSentAt":1790166012769,"id":"Rp2yAslxGxs8VgKr","type":"task-stopped-v1","parts":[{"type":"out-of-credits"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"LbFcWfBfFQvGZPvOurkSHSvF6mZwnj3l","gitRevision":{"headSha":"af8823acb1c5f8cf299e4855f013d4fafe89b489","readyAt":"2026-09-23T12:20:15.956Z","version":1,"commitMessage":"Initial commit from v0\n\nV0-Initial-Commit: v1"},"streaming":false,"finishReason":"tool-calls","parentId":"tZ2LtXuzEuEV3ISvqE4plDXBPgpdBa2Q","type":"message","creditCost":5,"workMetrics":{"diffMap":{},"linesRead":380,"agentActions":20},"modelSettings":{"reasoningEffort":"xhigh","supportedReasoningEfforts":["low","medium","high","xhigh"]},"createdAt":"$D2026-09-23T12:08:59.123Z","updatedAt":"$D2026-09-23T12:20:15.957Z"}],"lastSyncedAt":1792791770171,"undo":null,"activeForkKey":["tZ2LtXuzEuEV3ISvqE4plDXBPgpdBa2Q","LbFcWfBfFQvGZPvOurkSHSvF6mZwnj3l"],"lifecycle":{"phase":"idle","persistence":"persisted"},"isAuthor":false,"isRestoring":false,"hashMessageId":null},"@\"active-block\",\"ssM05jqRQ0L\",":null,"@\"chat:meta\",\"ssM05jqRQ0L\",":{"title":"Video editing task completion","authorId":"oTDlIPyFY73SYZ8paCZjCLx0","ownerId":"team_6xtQxcza4RbsyP2Fl37GDcdJ","storageEntityType":"v0-git-s3-storage","storageEntityId":"v0-1-team_6xtQxcza4RbsyP2Fl37GDcdJ-ssM05jqRQ0L","tailwindV4Default":true,"vercelProjectId":null,"canWriteToChat":false,"nextVersionDefault":16},"@\"chat:vm-mode\",\"ssM05jqRQ0L\",":true,"@\"chat:vercel-project\",\"ssM05jqRQ0L\",":"$@129","@\"team:sensitive-environment-variable-policy\",\"ssM05jqRQ0L\",":"$@12a","@\"block-view\",\"ssM05jqRQ0L\",":false,"integrations:figma":"$@12b"},"children":["$L12c","$L12d","$L12e","$L12f","$L130"]}]}]}] 3c:o9,104:null 3c:oe9a,132:I[900547,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"FullChat"] 133:"NavigationMarker" 134:I[493928,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$133"] 135:"OpenInV0JourneyCompletion" 136:I[228493,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$135"] 137:"SuspendingKeepTitleUpdated" 138:I[487989,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$137"] 139:"KeepClientOnUpToDateSlugPath" 13a:I[983440,["$4f","$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","$7f","$80","$92","$93","$82","$8b","$85","$84","$94","$86","$95","$96","$97","$83","$98","$8d","$90","$8a","$89","$8e","$8f","$99","$9a","$8c","$9b","$88"],"$139"] 111:{"ok":true,"value":{"designSystemId":null,"title":"Video editing task completion","privacy":"public","access":1,"isAdmin":false,"isAuthor":false,"ownerId":"team_6xtQxcza4RbsyP2Fl37GDcdJ","authorId":"anon:KRPZS5f-BsdeG1RJ6fRdp","tailwindV4Default":true,"nextVersionDefault":16,"nextVersion15Default":false,"forceVMRendering":false,"isNextLiteReadOnly":false,"canWriteToChat":false,"ownerRestriction":null,"canManageChat":false,"chatCreatedAt":1790165346320,"hasBlock":false,"vercelProject":null,"hasGitConnection":false,"gitBase":null,"gitHead":null,"hasSnowflakeIntegration":false,"chatHasAnySnowflakeIntegration":false,"storageEntityType":"v0-git-s3-storage","storageEntityId":"v0-1-team_6xtQxcza4RbsyP2Fl37GDcdJ-ssM05jqRQ0L","vercelProjectId":null,"defaultPreviewPath":null,"agentWorkspace":false,"workspaceRuntime":false}} 112:{"ok":false,"error":{"error":"Unauthorized","statusCode":401,"errorCode":"2"}} 113:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} 114:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} 115:{"ok":false,"error":{"error":"51","statusCode":500,"errorCode":"38"}} 116:{"ok":false,"error":{"error":"Unauthorized","statusCode":401,"errorCode":"2"}} 117:{"ok":true,"value":null,"__seedOnly":true} 131:T272f8,3c:o272f8,v0 App

Your v0 generation will show here.

3c:o1c9,11b:"$131" 129:"$undefined" 12a:"$undefined" 12b:{"isSignedIn":false} 12c:["$","$L132","full-chat",{"isMobile":false,"templatesServer":null}] 12d:["$","$L134",null,{"phase":"content","label":"Chat.Detail","routeOverride":"/chat/[slug]"}] 12e:["$","$L136",null,{}] 12f:["$","$3e",null,{"children":["$","$L138",null,{"chatId":"ssM05jqRQ0L"}]}] 130:["$","$L13a",null,{"id":"ssM05jqRQ0L","requireMatchingChatPath":true,"title":"Video editing task completion"}] 3c:o37,41:C 40:C 1:C 38:C 22:C 36:C 2c:C 1b:C 18:C 42:[70198] 3c:C