[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_295":296,"_297":298},"routes/_app.x.$handle.$name",{"_105":104,"_32":45,"_113":91,"_27":114,"_13":14,"_115":-5,"_11":116,"_117":118,"_119":120,"_121":122,"_123":124,"_20":-5,"_125":126,"_127":128,"_129":25,"_130":131,"_132":60,"_133":-5,"_134":-5,"_135":136},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":55,"_18":56,"_57":58,"_59":60,"_61":-5,"_62":-5,"_63":64,"_65":66,"_67":68,"_69":70,"_71":72,"_73":-5,"_74":75,"_76":75,"_77":78,"_79":78,"_80":78,"_81":75,"_82":75,"_83":84,"_85":86,"_87":88,"_89":25},"version",14,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","openrouter.ts","latestPath","fileId","62f97856-8a98-11f1-ae20-1607ee4eb77e","name","fileType","script","content","const ENDPOINT = \"https://openrouter.ai/api/v1/chat/completions\";\nconst MAX_TOKENS = 8192;\n\n// Shown as one-click defaults in the UI; any OpenRouter slug works, with an\n// optional \"@provider-tag\" suffix to pin a specific serving endpoint.\nexport const DEFAULT_MODELS = [\n \"moonshotai/kimi-k3@fireworks/fast\",\n \"anthropic/claude-opus-5-fast\",\n \"openai/gpt-5.6-luna\",\n \"google/gemini-3.6-flash\",\n \"z-ai/glm-5.2\",\n \"x-ai/grok-4.5\",\n];\n\nconst SYSTEM = `You write one complete, self-contained HTML document.\n- Output raw HTML only: no prose, no code fences, no explanation.\n- Start with and end with , then stop.\n- Include all CSS in a \n \n \n

\n \n \n \n\n",[],[190,236],"2d444a62-4d79-4d47-8f9a-2efd9d79804c","favicon.svg","019fa953-1907-764b-93b8-80a89d624d38",["D",1785252223134],"\n",[],[190,243],"983fc95f-2225-43ce-aebf-d64ce994b249","PreviewPanel.tsx","9bd18b64-8a98-11f1-b88a-1607ee4eb77e","019fa953-1906-7388-b79f-12a297603701",8,["D",1785252347897],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\n\nexport function PreviewPanel({ html }: { html: string }) {\n return (\n

\n Preview\n

\n\n

\n {html\n ? (\n \n )\n : (\n

\n Nothing generated yet.\n

\n )}\n

\n );\n}\n",[],[190,258,250],"components","f3d2cba4-a159-4f0d-b466-0a91f1bf0d11","CodePanel.tsx","99e95052-8a98-11f1-a6c3-1607ee4eb77e",7,["D",1785252344695],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { useEffect, useMemo, useRef } from \"https://esm.sh/react@18.2.0\";\nimport hljs from \"https://esm.sh/highlight.js@11.9.0/lib/core\";\nimport xml from \"https://esm.sh/highlight.js@11.9.0/lib/languages/xml\";\nimport javascript from \"https://esm.sh/highlight.js@11.9.0/lib/languages/javascript\";\n\n// The xml grammar delegates the contents of a script tag to the javascript\n// grammar, so registering both gives embedded JS highlighting for free.\nhljs.registerLanguage(\"xml\", xml);\nhljs.registerLanguage(\"javascript\", javascript);\n\n// Middle column: the raw output as it streams in.\nexport function CodePanel(\n { code, streaming }: {\n code: string;\n streaming: boolean;\n },\n) {\n const scrollRef = useRef(null);\n\n // Partial markup mid-stream is malformed by definition; hljs degrades to\n // plain text on the unclosed tail rather than throwing, which is fine here.\n const highlighted = useMemo(() => {\n if (!code) return \"\";\n try {\n return hljs.highlight(code, { language: \"xml\" }).value;\n } catch {\n return null; // fall back to unhighlighted text\n }\n }, [code]);\n\n useEffect(() => {\n if (streaming) scrollRef.current?.scrollTo({ top: scrollRef.current.scrollHeight });\n }, [code, streaming]);\n\n return (\n

\n Code\n {streaming && (\n \n )}\n

\n {code && !streaming && (\n navigator.clipboard.writeText(code)}\n className=\"text-[11px] px-2 py-1 rounded border border-gray-700 text-gray-400 hover:bg-gray-800 transition-colors cursor-pointer\"\n >\n Copy\n \n )}\n

\n\n \n {!code\n ? Output appears here as it streams.\n : highlighted\n ? \n : {code}}\n \n

\n  );\n}\n",[],[190,258,260],"c666af21-567f-4a77-ac21-85940bf0d634","ChatPanel.tsx","8ff9d166-8a98-11f1-9104-1607ee4eb77e",6,["D",1785252328027],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { useEffect, useRef, useState } from \"https://esm.sh/react@18.2.0\";\nimport type { FeedItem, GenerationRun, ModelOption } from \"./App.tsx\";\n\nconst EXAMPLES = [\n  \"A pricing page with three tiers\",\n  \"A pomodoro timer with start/reset\",\n  \"A dark landing page for a coffee brand\",\n];\n\nconst ms = (n: number) => n >= 1000 ? `${(n / 1000).toFixed(2)}s` : `${Math.round(n)}ms`;\nconst num = (n: number) => Math.round(n).toLocaleString();\nconst usd = (n: number) => n >= 0.01 ? `$${n.toFixed(3)}` : `$${n.toFixed(5)}`;\n\nfunction GenerationCard({ run }: { run: GenerationRun }) {\n  const running = !run.summary && !run.error;\n  return (\n    \n      \n        {run.model}\n        {running && running}\n        {run.summary?.provider && (\n          \n            via {run.summary.provider}\n          \n        )}\n      
\n\n      {run.summary && (\n        \n          \n            Speed
\n            {num(run.summary.tokensPerSecond)} tok/s
\n          
\n          \n            First token
\n            {ms(run.summary.ttftMs)}
\n          
\n          \n            Output tokens
\n            {num(run.summary.completionTokens)}
\n          
\n          \n            Cost
\n            {usd(run.summary.cost)}
\n          
\n        
\n      )}\n\n      {run.summary && (\n        \n          ✓ Full page generated in {ms(run.summary.roundTripMs)}\n        
\n      )}\n      {run.error && (\n        \n          {run.error}\n        
\n      )}\n    
\n  );\n}\n\nexport function ChatPanel({\n  feed,\n  loading,\n  model,\n  defaults,\n  models,\n  onModelChange,\n  onSend,\n  onReset,\n}: {\n  feed: FeedItem[];\n  loading: boolean;\n  model: string;\n  defaults: string[];\n  models: ModelOption[];\n  onModelChange: (model: string) => void;\n  onSend: (instruction: string) => void;\n  onReset: () => void;\n}) {\n  const [draft, setDraft] = useState(\"\");\n  const scrollRef = useRef(null);\n\n  useEffect(() => {\n    scrollRef.current?.scrollTo({ top: scrollRef.current.scrollHeight, behavior: \"smooth\" });\n  }, [feed, loading]);\n\n  function submit() {\n    const text = draft.trim();\n    if (!text || loading) return;\n    onSend(text);\n    setDraft(\"\");\n  }\n\n  return (\n    \n      \n        \n          OpenRouter Coder
\n          \n            Any model on{\" \"}\n            OpenRouter{\" \"}\n            codes a page live\n          
\n        
\n        {feed.length > 0 && (\n          \n        )}\n      
\n\n      \n        Model\n         onModelChange((e.target as HTMLInputElement).value)}\n          placeholder=\"provider/model-slug\"\n          spellCheck={false}\n          className=\"mt-1 w-full rounded-lg border border-gray-300 px-3 py-1.5 font-mono text-xs focus:border-transparent focus:outline-none focus:ring-2 focus:ring-blue-500\"\n        />\n        \n          {models.map((m) => )}\n        \n        \n          {defaults.map((slug) => (\n             onModelChange(slug)}\n              className={`cursor-pointer rounded-full border px-2 py-0.5 font-mono text-[10px] ${\n                model === slug\n                  ? \"border-blue-500 bg-blue-50 text-blue-700\"\n                  : \"border-gray-200 text-gray-500 hover:border-gray-300\"\n              }`}\n            >\n              {slug.split(\"/\")[1] ?? slug}\n            \n          ))}\n        
\n      
\n\n      \n        {feed.length === 0 && (\n          \n            Pick a model, describe a page. Each follow-up updates the spec and regenerates the full page.
\n            \n              {EXAMPLES.map((example) => (\n                 onSend(example)}\n                  className=\"block w-full cursor-pointer rounded-lg border border-gray-200 bg-white px-3 py-2 text-left hover:border-blue-400 hover:text-blue-700\"\n                >\n                  {example}\n                \n              ))}\n            
\n          
\n        )}\n\n        {feed.map((item, i) => item.kind === \"user\"\n          ? (\n            \n              \n                {item.text}\n              
\n            
\n          )\n          : )}\n      
\n\n      \n         setDraft((e.target as HTMLTextAreaElement).value)}\n          onKeyDown={(e) => {\n            if (e.key === \"Enter\" && !e.shiftKey) {\n              e.preventDefault();\n              submit();\n            }\n          }}\n          rows={2}\n          placeholder=\"Describe a page…  (Enter to send)\"\n          className=\"w-full resize-none rounded-lg border border-gray-300 px-3 py-2 text-sm focus:border-transparent focus:outline-none focus:ring-2 focus:ring-blue-500\"\n        />\n        \n          {loading ? \"Generating…\" : \"Generate\"}\n        \n        \n          view source\n        
\n      
\n    
\n  );\n}\n",[],[190,258,268],"8f615148-4a8f-49fd-924a-0bb37a017844","App.tsx","019fa953-1906-7388-b79f-0b9be7e35aa2",5,["D",1785252296772],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { useEffect, useState } from \"https://esm.sh/react@18.2.0\";\nimport { ChatPanel } from \"./ChatPanel.tsx\";\nimport { CodePanel } from \"./CodePanel.tsx\";\nimport { PreviewPanel } from \"./PreviewPanel.tsx\";\n\nexport interface Summary {\n  model: string;\n  provider: string;\n  completionTokens: number;\n  promptTokens: number;\n  cost: number;\n  ttftMs: number;\n  totalMs: number;\n  tokensPerSecond: number;\n  roundTripMs: number;\n}\n\nexport interface GenerationRun {\n  kind: \"run\";\n  id: string;\n  model: string;\n  summary?: Summary;\n  error?: string;\n}\n\nexport type FeedItem =\n  | { kind: \"user\"; text: string }\n  | GenerationRun;\n\nexport interface ModelOption {\n  id: string;\n  name: string;\n}\n\nexport function App() {\n  const [feed, setFeed] = useState([]);\n  // Follow-ups extend the running spec and regenerate the full page.\n  const [instructions, setInstructions] = useState([]);\n  const [model, setModel] = useState(\"\");\n  const [defaults, setDefaults] = useState([]);\n  const [models, setModels] = useState([]);\n  const [code, setCode] = useState(\"\");\n  const [html, setHtml] = useState(\"\");\n  const [loading, setLoading] = useState(false);\n\n  useEffect(() => {\n    fetch(\"/api/models\")\n      .then((r) => r.json())\n      .then((d) => {\n        setDefaults(d.defaults ?? []);\n        setModels(d.models ?? []);\n        setModel((current) => current || d.defaults?.[0] || \"\");\n      })\n      .catch(() => {});\n  }, []);\n\n  async function send(instruction: string) {\n    if (loading || !model.trim()) return;\n    const next = [...instructions, instruction];\n    const runId = crypto.randomUUID();\n\n    setLoading(true);\n    setInstructions(next);\n    setCode(\"\");\n    setFeed((prev) => [\n      ...prev,\n      { kind: \"user\", text: instruction },\n      { kind: \"run\", id: runId, model: model.trim() },\n    ]);\n\n    const updateRun = (update: (run: GenerationRun) => GenerationRun) => {\n      setFeed((prev) => prev.map((item) => item.kind === \"run\" && item.id === runId ? update(item) : item));\n    };\n    const startedAt = performance.now();\n    // Deltas arrive fast, so accumulate locally and throttle iframe\n    // re-renders; the code panel updates every delta.\n    let acc = \"\";\n    let lastPreviewAt = 0;\n\n    try {\n      const res = await fetch(\"/api/generate\", {\n        method: \"POST\",\n        headers: { \"Content-Type\": \"application/json\" },\n        body: JSON.stringify({ instructions: next, model: model.trim() }),\n      });\n\n      if (!res.ok || !res.body) {\n        const err = await res.json().catch(() => ({}));\n        throw new Error(err?.error ?? `Request failed (${res.status})`);\n      }\n\n      const reader = res.body.getReader();\n      const decoder = new TextDecoder();\n      let buffer = \"\";\n\n      while (true) {\n        const { done, value } = await reader.read();\n        if (done) break;\n        buffer += decoder.decode(value, { stream: true });\n\n        const frames = buffer.split(\"\\n\\n\");\n        buffer = frames.pop() ?? \"\";\n\n        for (const frame of frames) {\n          const line = frame.split(\"\\n\").find((l) => l.startsWith(\"data:\"));\n          if (!line) continue;\n          const event = JSON.parse(line.slice(5).trim());\n\n          switch (event.type) {\n            case \"delta\": {\n              acc += event.text;\n              setCode(acc);\n              const now = performance.now();\n              if (now - lastPreviewAt > 150) {\n                lastPreviewAt = now;\n                setHtml(acc);\n              }\n              break;\n            }\n\n            case \"done\": {\n              const roundTripMs = performance.now() - startedAt;\n              setHtml(event.html);\n              setCode(event.html);\n              updateRun((run) => ({ ...run, summary: { ...event.stats, roundTripMs } }));\n              break;\n            }\n\n            case \"error\":\n              throw new Error(event.message);\n          }\n        }\n      }\n    } catch (err) {\n      const message = err instanceof Error ? err.message : String(err);\n      updateRun((run) => ({ ...run, error: message }));\n      setInstructions(instructions);\n    } finally {\n      setLoading(false);\n    }\n  }\n\n  function reset() {\n    setFeed([]);\n    setInstructions([]);\n    setCode(\"\");\n    setHtml(\"\");\n  }\n\n  return (\n    \n      \n      \n      \n    \n  );\n}\n",[],[190,258,276],"43f9e84a-0999-4d3f-8017-969f5f30ffaa",["D",1785252223134],[208,209,210,211],[190,258],["D",1785252223134],[207,212,213,214],[190],["D",1785252223134],["D",1789474235934],{"_105":104,"_112":108},{"_105":104,"_106":-5,"_107":108,"_18":56,"_109":110,"_111":25},{"_13":90,"_32":91,"_43":42,"_92":44,"_93":94,"_95":96,"_97":50,"_98":99,"_100":101,"_102":45,"_103":104},"ctx",{"_83":-5,"_134":328,"_329":330,"_331":332,"_333":25,"_334":25,"_335":25,"_336":60,"_337":-5,"_338":-7,"_339":-7,"_340":64,"_341":25,"_342":25,"_343":-5,"_344":25,"_345":25,"_346":25,"_347":-5},"ENV",{"_299":300,"_301":302,"_303":91,"_304":305,"_306":307,"_308":309,"_310":311,"_312":313,"_314":315,"_316":317,"_318":319,"_320":321,"_322":323,"_324":325,"_326":327},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v14