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{ serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { generateCode } from \"./backend/generate-code.ts\";\nimport { createTables } from \"./database/migrations.ts\";\nimport {\n createProject,\n getCode,\n getNextVersionNumber,\n insertVersion,\n} from \"./database/queries.ts\";\n\nawait createTables();\n\nexport default async function cerebras_coder(req: Request): Promise {\n if (req.method === \"POST\") {\n try {\n let { prompt, currentCode, versionHistory, projectId, model } = await req\n .json();\n const { code, time, totalTokens } = await generateCode(\n prompt,\n currentCode,\n model,\n );\n // If no version history exists, create a new project\n let versionNumber = 0;\n if (!projectId) {\n projectId = await createProject(prompt);\n } else {\n // get last version number for this project id\n versionNumber = await getNextVersionNumber(projectId);\n }\n\n await insertVersion(projectId, versionNumber, prompt, code);\n\n return new Response(\n JSON.stringify({\n code,\n projectId,\n versionNumber,\n performance: {\n tokensPerSecond: totalTokens / time,\n totalTokens,\n time,\n },\n }),\n {\n headers: { \"Content-Type\": \"application/json\" },\n },\n );\n } catch (error) {\n console.log(error);\n return new Response(\"Server Error\", { status: 500 });\n }\n }\n\n // output url in format /p/:project/v/:version\n const url = new URL(req.url);\n if (url.pathname.startsWith(\"/p/\")) {\n const [, , project, , version] = url.pathname.split(\"/\");\n const code = await getCode(project, version);\n if (!code) {\n return new Response(\"Not found\", { status: 404 });\n }\n return new Response(code as string, {\n headers: { \"Content-Type\": \"text/html\" },\n });\n }\n\n if (url.pathname.startsWith(\"/public/\")) {\n try {\n return serveFile(url.pathname, import.meta.url);\n } catch (e) {\n console.error(e);\n return new Response(\"Not found\", { status: 404 });\n }\n }\n\n return serveFile(\"/public/index.html\", import.meta.url);\n}","createdAt",["D",1766779543439],"branchVersion","branchId","f23d1e46-4147-11f0-9647-76b3cceeab13","id","f23aa882-4147-11f0-9647-76b3cceeab13","cerebras_coderv2",["D",1749043771058],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","imageUrl","c6270f99-56fe-4ed2-a76c-f0bd9cc9cfe8","pinnedFileId","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",1,"orgId","979a3d88-4205-49af-bbf9-fc37839f3d43","tursoName","f23aa882414711f0964776b3cceeab13","tursoHostname","f23aa882414711f0964776b3cceeab13-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789530642963],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_101":100,"_108":104},"org",{"_101":100,"_102":-5,"_103":104,"_18":53,"_105":106,"_107":25},"branch",{"_13":86,"_32":87,"_42":41,"_88":43,"_89":90,"_91":92,"_93":49,"_94":95,"_96":97,"_98":44,"_99":100},"isOwned",25,"main","projectId","forkedBranchId","5ff74ffe-1adf-11f0-8160-569c3dd06744","forkedBranchVersion",275,"forkedProjectPrivacy","forkedProjectId","5ff6edf2-1adf-11f0-8160-569c3dd06744","forkedProjectOrgId","e81e7335-6d4c-4764-a902-d0962bbfa9f7","projectName","userHandle","etomberg391","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18ycVBKRmo4NW5ndmFlOWw1U2lOeXRLTFd0TFAifQ","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_42":43,"_32":44,"_37":262,"_46":-5,"_47":25,"_48":49,"_50":49,"_51":-5,"_52":-5,"_18":53,"_54":31,"_55":56,"_57":56,"_58":-5,"_59":60,"_61":62,"_63":64,"_65":66,"_67":263,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":264,"_81":265,"_83":266,"_85":25},"tree",[189,191,194,198,199],"files",[189,190,191,192,193,194,195,196,197,198,199],"counts",{"_179":166,"_180":60,"_181":166,"_182":183,"_184":185},"contents",[144,145,146,147,148],"upstreamProject",{"_42":95,"_32":140,"_51":141,"_52":-5,"_48":49,"_79":142},"upstreamBranch",{"_42":90,"_37":133,"_134":135,"_32":87,"_88":95,"_13":136,"_89":-5,"_91":-5,"_137":138,"_46":-5,"_85":25,"_48":49,"_99":139,"_61":97,"_98":140},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1744820713851],"updatedAt",["D",1754089495761],278,"lockfileKey","1763743012986-esm.town_v_stevekrouse_cerebras_coder@278-main","stevekrouse","cerebras_coder","An AI code assistant powered by Cerebras inference",{"_101":139,"_108":143},"https://images.clerk.dev/uploaded/img_2PqHa2Gsy93xQrjh2w78Xu0cChW.jpeg",{"_42":174,"_32":175,"_30":176,"_150":-5,"_40":41,"_39":60,"_151":56,"_37":177,"_13":166,"_33":167,"_35":-5,"_24":25,"_154":-5,"_27":178},{"_42":169,"_32":170,"_30":171,"_150":-5,"_40":41,"_39":60,"_151":56,"_37":172,"_13":166,"_33":167,"_35":-5,"_24":25,"_154":-5,"_27":173},{"_42":163,"_32":49,"_30":164,"_150":-5,"_40":41,"_39":60,"_151":56,"_37":165,"_13":166,"_33":167,"_35":-5,"_24":25,"_154":-5,"_27":168},{"_42":156,"_32":157,"_30":158,"_150":-5,"_40":41,"_39":159,"_151":25,"_37":160,"_13":60,"_33":20,"_35":161,"_24":25,"_154":-5,"_27":162},{"_42":149,"_32":28,"_30":31,"_150":-5,"_40":41,"_39":14,"_151":25,"_37":152,"_13":153,"_33":34,"_35":36,"_24":25,"_154":-5,"_27":155},"425756f4-e296-11f0-95b2-42dde27851f2","parentId","latest",["D",1766779543439],2,"label",[28],"99f3b79a-4151-11f0-a1f6-76b3cceeab13","README.md","7449384e-4151-11f0-b6fd-76b3cceeab13",9,["D",1749047917941],"# cerebras_coderv2\n\nThis is an AI code assistant powered by [Cerebras](https://cerebras.ai/inference), running Qwen 3 32B (Updated from the original project).\n\nInspired by Hassan's [Llama Coder](https://llamacoder.together.ai/).\n\n# Setup\n\n1. Sign up for [Cerebras](https://cloud.cerebras.ai/)\n2. Get a Cerebras API Key\n3. Save it in your project env variable called `CEREBRAS_API_KEY`",[157],"f24110fa-4147-11f0-9647-76b3cceeab13","39cf6e51-1575-43c6-b28c-f81192da75a0",["D",1749043771058],0,"directory",[49],"f240b43e-4147-11f0-9647-76b3cceeab13","database","881835ee-843d-433c-af12-980182eca66f",["D",1749043771058],[170],"f240a6ec-4147-11f0-9647-76b3cceeab13","backend","fade4f9c-5cfa-4a6d-a8cd-8f7d70897b6c",["D",1749043771058],[175],"pulls","branches","forks","envVars",{"_186":60,"_188":166},"connections",{"_186":166,"_187":166},"count","unfilledCount","emptyCount",{"_42":174,"_32":175,"_30":176,"_150":-5,"_40":41,"_39":60,"_151":56,"_37":259,"_13":166,"_33":167,"_35":-5,"_24":25,"_154":-5,"_201":260,"_27":261},{"_42":251,"_32":252,"_30":253,"_150":176,"_40":41,"_39":254,"_151":25,"_37":255,"_13":153,"_33":211,"_35":256,"_24":25,"_154":-5,"_201":257,"_27":258},{"_42":169,"_32":170,"_30":171,"_150":-5,"_40":41,"_39":60,"_151":56,"_37":248,"_13":166,"_33":167,"_35":-5,"_24":25,"_154":-5,"_201":249,"_27":250},{"_42":241,"_32":242,"_30":243,"_150":171,"_40":41,"_39":60,"_151":56,"_37":244,"_13":166,"_33":211,"_35":245,"_24":25,"_154":-5,"_201":246,"_27":247},{"_42":234,"_32":235,"_30":236,"_150":171,"_40":41,"_39":60,"_151":56,"_37":237,"_13":166,"_33":211,"_35":238,"_24":25,"_154":-5,"_201":239,"_27":240},{"_42":163,"_32":49,"_30":164,"_150":-5,"_40":41,"_39":60,"_151":56,"_37":231,"_13":166,"_33":167,"_35":-5,"_24":25,"_154":-5,"_201":232,"_27":233},{"_42":223,"_32":224,"_30":225,"_150":164,"_40":41,"_39":226,"_151":25,"_37":227,"_13":60,"_33":20,"_35":228,"_24":25,"_154":-5,"_201":229,"_27":230},{"_42":215,"_32":216,"_30":217,"_150":164,"_40":41,"_39":218,"_151":25,"_37":219,"_13":153,"_33":211,"_35":220,"_24":25,"_154":-5,"_201":221,"_27":222},{"_42":207,"_32":208,"_30":209,"_150":164,"_40":41,"_39":60,"_151":56,"_37":210,"_13":166,"_33":211,"_35":212,"_24":25,"_154":-5,"_201":213,"_27":214},{"_42":156,"_32":157,"_30":158,"_150":-5,"_40":41,"_39":159,"_151":25,"_37":204,"_13":60,"_33":20,"_35":161,"_24":25,"_154":-5,"_201":205,"_27":206},{"_42":149,"_32":28,"_30":31,"_150":-5,"_40":41,"_39":14,"_151":25,"_37":200,"_13":153,"_33":34,"_35":36,"_24":25,"_154":-5,"_201":202,"_27":203},["D",1766779543439],"children",[],[28],["D",1749047917941],[],[157],"f241036c-4147-11f0-9647-76b3cceeab13","starter-prompts.js","c85b44a8-1bac-4ec0-9860-fc1f04959bfc",["D",1749043771058],"script","export default [\n {\n \"prompt\": \"todo list app persisted in local storage, pretty\",\n \"title\": \"Todo App\",\n \"code\":\n \"\\n\\n\\n \\n \\n Task Master\\n \\n\\n\\n

\\n

Task Master

\\n Manage your tasks efficiently\\n

\\n

\\n \\n \\n

\\n

\\n Built on Cerebras Coder\\n

\\n

\\n\\n \\n\\n\",\n \"performance\": {\n \"tokensPerSecond\": 2298.56,\n \"totalTokens\": 1032,\n \"time\": 0.45,\n },\n },\n {\n \"prompt\": \"weather dashboard for nyc using open-meteo API for NYC with icons\",\n \"title\": \"Weather App\",\n \"code\":\n \"\\n\\n\\n \\n \\n NYC Weather\\n \\n \\n\\n\\n

\\n

NYC Weather

\\n

Humidity: %

\\n

Wind: mph

\\n \\n

\\n

\\n Built on Cerebras Coder\\n

\\n\\n \\n\\n\",\n \"performance\": {\n \"tokensPerSecond\": 3411.28,\n \"totalTokens\": 2172,\n \"time\": 0.64,\n },\n },\n {\n \"prompt\": \"two column interactive markdown editor with live preview and default text to explain markdown features\",\n \"title\": \"Markdown Editor\",\n \"code\":\n \"\\n\\n\\n \\n \\n \\n Markdown Editor\\n \\n\\n\\n

\\n

Markdown Editor

\\n

\\n \\n

\\n

Built on Cerebras Coder

\\n

\\n\\n \\n\\n\",\n \"performance\": {\n \"tokensPerSecond\": 4092.96,\n \"totalTokens\": 1677,\n \"time\": 0.41,\n },\n },\n];",[],[49,208],"2e1e9102-e296-11f0-b5ed-42dde27851f2","index.ts","c5e2799e-44ad-4e4f-9a68-40e082030bab",12,["D",1766779509513],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client?deps=react@18.2.0\";\nimport { Prism as SyntaxHighlighter } from \"https://esm.sh/react-syntax-highlighter?deps=react@18.2.0,react-dom@18.2.0\";\nimport React, { useEffect, useState } from \"https://esm.sh/react@18.2.0\";\nimport STARTER_PROMPTS from \"./starter-prompts.js\";\n\n// random 3 prompts from STARTER_PROMPTS\nconst prompts = STARTER_PROMPTS.sort(() => Math.random() - 0.5).slice(0, 4);\n\ntype PromptItem = typeof prompts[number];\n\nconst MODELS = [\n {\n id: \"qwen-3-235b-a22b-instruct-2507\",\n name: \"Qwen 3 235B Instruct\",\n speed: \"~1400\",\n params: \"235B\",\n },\n { id: \"zai-glm-4.6\", name: \"Z.ai GLM 4.6\", speed: \"~1000\", params: \"357B\" },\n {\n id: \"gpt-oss-120b\",\n name: \"OpenAI GPT OSS\",\n speed: \"~3000\",\n params: \"120B\",\n },\n];\n\nconst PoweredBy = (\n { className, selectedModel }: {\n className?: string;\n selectedModel?: typeof MODELS[0];\n },\n) => (\n \n

\n Powered by {selectedModel?.name || \"Qwen-3-32B\"} on Cerebras\n

\n \n);\n\nfunction Hero({\n prompt,\n setPrompt,\n handleSubmit,\n handleStarterPromptClick,\n selectedModel,\n setSelectedModel,\n modelDropdownOpen,\n setModelDropdownOpen,\n}: {\n prompt: string;\n setPrompt: React.Dispatch>;\n handleSubmit: (e: React.FormEvent) => void;\n handleStarterPromptClick: (promptItem: PromptItem) => void;\n selectedModel: typeof MODELS[0];\n setSelectedModel: React.Dispatch>;\n modelDropdownOpen: boolean;\n setModelDropdownOpen: React.Dispatch>;\n}) {\n const inIframe = window.self !== window.top;\n return (\n

\n setModelDropdownOpen(!modelDropdownOpen)}\n className=\"p-[1px] text-gray-400 bg-[linear-gradient(90deg,_#0EAEE9_0%,_#22C55E_29%,_#D948EF_59%,_#8B5CF6_100%)] hover:bg-[linear-gradient(180deg,_#0EAEE9_0%,_#22C55E_29%,_#D948EF_59%,_#8B5CF6_100%)] transition-all w-fit mx-auto rounded-full hover:text-gray-200\"\n >\n

\n Selected {selectedModel.name} on Cerebras\n \n \n \n

\n \n {modelDropdownOpen && (\n

\n {MODELS.map((model) => (\n {\n setSelectedModel(model);\n setModelDropdownOpen(false);\n }}\n className={`w-full text-left px-4 py-3 text-sm hover:bg-gray-800 transition-colors ${\n selectedModel.id === model.id\n ? \"bg-gray-800 text-white\"\n : \"text-gray-400\"\n }`}\n >\n

{model.name}

\n {model.params} • {model.speed} tokens/s\n

\n \n ))}\n

\n )}\n

\n Dream it. Code it.
\n Instantly.\n

\n\n

\n Turn your ideas into fully functional apps in{\" \"}\n \n less than a second\n \n

\n\n \n setPrompt(e.target.value)}\n placeholder=\"Build me a calculator app...\"\n className=\"w-full h-[52px] rounded-full bg-black border border-[#353535] py-6 px-8 placeholder:bg-clip-text placeholder:text-transparent placeholder:opacity-50 placeholder:bg-[linear-gradient(90.138deg,_#FFFFFF_0%,_rgba(255,_255,_255,_36%)_100%)] focus:focus:outline focus:outline-offset-2 focus:outline-[var(--deepblue)] text-2xl placeholder:text-2xl\"\n />\n \n \n \n \n \n \n \n \n\n Prompt\n \n \n\n

\n {prompts.map((promptItem) => (\n handleStarterPromptClick(promptItem)}\n className=\"text-xs rounded-full border border-[#353535] text-[#aaa] p-1 px-2 whitespace-nowrap hover:cursor-pointer hover:bg-gray-900 hover:translate-y-[-1px] hover:text-white transition-all\"\n >\n {promptItem.title}\n \n ))}\n

\n );\n}\n\nfunction App() {\n const previewRef = React.useRef(null);\n const [prompt, setPrompt] = useState(\"\");\n const [projectId, setProjectId] = useState(null);\n const [projectVersion, setProjectVersion] = useState(null);\n const [shareModalOpen, setShareModalOpen] = useState(false);\n const [selectedModel, setSelectedModel] = useState(MODELS[0]);\n const [modelDropdownOpen, setModelDropdownOpen] = useState(false);\n\n const [iframeKey, setIframeKey] = useState(0);\n const inIframe = window.self !== window.top;\n\n const [code, setCode] = useState(\"\");\n const [viewingCode, setViewingCode] = useState(false);\n const [loading, setLoading] = useState(false);\n const [performance, setPerformance] = useState<\n {\n tokensPerSecond: number;\n totalTokens: number;\n time: number;\n }\n >({\n tokensPerSecond: 0,\n totalTokens: 0,\n time: 0,\n });\n\n const handleClipboard = async (str: string) => {\n await navigator.clipboard.writeText(str);\n Toastify({\n text: \"Copied to clipboard!\",\n position: \"center\",\n duration: 3000,\n style: {\n background: \"linear-gradient(to right, #00b09b, #96c93d)\",\n borderRadius: \"20px\",\n },\n }).showToast();\n };\n\n const handleRefresh = () => {\n setIframeKey((prevKey) => prevKey + 1);\n };\n\n const [versionHistory, setVersionHistory] = useState<{\n currentVersionIndex: number;\n versions: {\n code: string;\n prompt: string;\n timestamp: number;\n }[];\n }>({\n currentVersionIndex: 0,\n versions: [],\n });\n\n function handleStarterPromptClick(promptItem: typeof prompts[number]) {\n setLoading(true);\n setTimeout(() => handleSubmit(promptItem.prompt), 0);\n }\n\n async function handleSubmit(e: React.FormEvent | string) {\n if (typeof e !== \"string\") {\n e.preventDefault();\n }\n setLoading(true);\n\n try {\n const response = await fetch(\"/\", {\n method: \"POST\",\n body: JSON.stringify({\n prompt: typeof e === \"string\" ? e : prompt,\n currentCode: code,\n projectId,\n model: selectedModel.id,\n }),\n headers: { \"Content-Type\": \"application/json\" },\n });\n if (!response.ok) {\n throw new Error(\"Generation Error: \" + await response.text());\n }\n\n const result = await response.json();\n\n setProjectId(result.projectId);\n setProjectVersion(result.versionNumber);\n setCode(result.code);\n setPerformance(result.performance);\n setVersionHistory({\n currentVersionIndex: versionHistory.versions.length,\n versions: [...versionHistory.versions, {\n code: result.code,\n prompt,\n timestamp: Date.now(),\n }],\n });\n setPrompt(\"\");\n } catch (error) {\n Toastify({\n text:\n \"We may have hit our Cerebras Usage limits. Try again later or fork this and use your own API key.\",\n position: \"center\",\n duration: 3000,\n style: {\n background: \"linear-gradient(to right, #ff5f6d, #ffc371)\",\n borderRadius: \"20px\",\n },\n }).showToast();\n console.error(error);\n } finally {\n setLoading(false);\n }\n }\n\n function handleVersionChange(direction: \"back\" | \"forward\") {\n const { currentVersionIndex, versions } = versionHistory;\n if (direction === \"back\" && currentVersionIndex > 0) {\n const newIndex = currentVersionIndex - 1;\n setCode(versions[newIndex].code);\n setVersionHistory((prev) => ({\n ...prev,\n currentVersionIndex: newIndex,\n }));\n } else if (\n direction === \"forward\" && currentVersionIndex < versions.length - 1\n ) {\n const newIndex = currentVersionIndex + 1;\n setCode(versions[newIndex].code);\n setVersionHistory((prev) => ({\n ...prev,\n currentVersionIndex: newIndex,\n }));\n }\n }\n\n const projectURL = `${window.location.origin}/p/${projectId}`;\n const versionURL =\n `${window.location.origin}/p/${projectId}/v/${projectVersion}`;\n\n return (\n

\n \n \n \n \n \n \n \n \n \n \n \n \n\n Cerebras Coder\n \n\n

\n Selected {selectedModel.name} on Cerebras\n \n \n \n

\n \n {modelDropdownOpen && (\n

{model.name}

\n {model.params} • {model.speed} tokens/s\n

\n \n ))}\n

\n )}\n

\n\n \n \n \n \n Fork on{\" \"}\n \n \n \n \n

\n\n {shareModalOpen && (\n

Share your project

\n setShareModalOpen(false)}\n >\n \n \n \n \n

Latest Version

\n This is a live link to your project. It will change if you\n make more edits.\n

\n handleClipboard(projectURL)}\n >\n \n {projectURL}\n \n

\n \n

\n Pinned version (`\n #{projectVersion}\n` )\n

\n This is a permalink to v{projectVersion}. It won't change if\n you make more edits.\n

\n handleClipboard(versionURL)}\n >\n \n {versionURL}\n \n

\n \n

\n \n )}\n\n {code ? undefined : (\n

\n \n

\n )}\n\n {code && (\n \n \n setPrompt(e.target.value)}\n className=\"w-full h-[52px] rounded-full bg-black border-2 border-[#e2e2e2] py-6 px-8 focus:focus:outline focus:outline-[var(--deepblue)] text-2xl placeholder:text-2xl\"\n />\n \n \n

\n Code\n handleClipboard(code)}\n className=\"size-7 flex items-center justify-center p-1 rounded-full bg-[#1b1b1b] hover:bg-gray-800\"\n >\n \n Copy code\n \n

\n \n {code}\n \n

\n\n

\n Preview\n

\n \n \n \n \n \n \n \n \n \n \n \n \n\n Refresh\n \n \n \n \n \n \n \n \n \n setShareModalOpen(true)}\n className=\"bg-white h-8 text-black font-medium flex items-center gap-1 shadow-button px-4 py-2 rounded-full hover:cursor-pointer hover:bg-opacity-90\"\n >\n \n \n \n\n Share\n \n

\n \n \n \n

\n handleVersionChange(\"back\")}\n disabled={versionHistory.currentVersionIndex === 0}\n >\n ←\n \n Version: {versionHistory.currentVersionIndex + 1} /{\" \"}\n {versionHistory.versions.length}\n handleVersionChange(\"forward\")}\n disabled={versionHistory.currentVersionIndex ===\n versionHistory.versions.length - 1}\n >\n →\n \n

\n \n \n \n \n \n

\n {performance.tokensPerSecond.toFixed(2)}{\" \"}\n tokens\n

\n\n

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n

\n {performance.totalTokens} token/s\n

\n\n

\n \n \n \n \n \n \n \n \n \n\n

\n {performance.time.toFixed(2)}s\n

\n \n )}\n\n \n \n );\n}\n\nconst valURL = \"https://www.val.town/x/stevekrouse/cerebras_coder\";\n\nconst ValTownSVG = ({ color }: { color?: string } = { color: \"white\" }) => (\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n);\n\nconst CopyIcon = () => (\n \n \n \n \n \n \n \n \n \n \n);\n\nfunction client() {\n const path = window.location.pathname;\n const root = createRoot(document.getElementById(\"root\")!);\n\n root.render();\n}\n\nif (typeof document !== \"undefined\") {\n client();\n}",[],[49,216],"69a8c10e-414f-11f0-acdb-76b3cceeab13","index.html","6b9efd24-7bc7-4754-af93-046a0158beb0",3,["D",1749046977922],"\n \n \n \n \n CerebrasCoder\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n \n \n \n \n

\n \n \n \n",[],[49,224],["D",1749043771058],[195,196,197],[49],"f240ab9c-4147-11f0-9647-76b3cceeab13","queries.ts","ad829abb-d282-4be0-88a8-490ae2c8af92",["D",1749043771058],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { ITERATIONS_TABLE, KEY, PROJECTS_TABLE, SCHEMA_VERSION } from \"./migrations.ts\";\n\nexport async function createProject(prompt: string) {\n const projectResult = await sqlite.execute(\n `INSERT INTO ${PROJECTS_TABLE} (initial_prompt) VALUES (?)`,\n [prompt],\n );\n const projectId = projectResult.lastInsertRowid as unknown as number;\n return projectId;\n}\n\nexport async function getNextVersionNumber(projectId: number) {\n const data = await sqlite.execute(\n `SELECT version_number FROM ${ITERATIONS_TABLE}\n WHERE project_id = ? ORDER BY version_number DESC LIMIT 1`,\n [projectId],\n );\n const currentVersion = data.rows[0]?.version_number as unknown as number || 0;\n return currentVersion + 1;\n}\n\nexport async function insertVersion(projectId: number, versionNumber: number, prompt: string, code: string) {\n await sqlite.execute(\n `INSERT INTO ${ITERATIONS_TABLE} \n (project_id, version_number, prompt, code) VALUES (?, ?, ?, ?)`,\n [projectId, versionNumber, prompt, code],\n );\n}\n\nexport async function getCodeInner(table: string, project: string, version?: string) {\n let data;\n if (version === undefined) {\n data = await sqlite.execute(\n `SELECT code FROM ${table}\n WHERE project_id = ?\n ORDER BY version_number desc\n LIMIT 1`,\n [parseInt(project)],\n );\n } else {\n data = await sqlite.execute(\n `SELECT code FROM ${table}\n WHERE project_id = ? AND version_number = ?\n LIMIT 1`,\n [parseInt(project), parseInt(version)],\n );\n }\n return data.rows[0]?.code;\n}\n\nexport async function getCode(project: string, version?: string) {\n // try to get code in the new table partition first\n const code = await getCodeInner(ITERATIONS_TABLE, project, version);\n return code ?? await getCodeInner(`${KEY}_iterations_${SCHEMA_VERSION}`, project, version);\n}",[],[170,235],"f240a944-4147-11f0-9647-76b3cceeab13","migrations.ts","cafb77f8-ab47-4d0e-8d53-8c587967eb8c",["D",1749043771058],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\nexport const KEY = \"cerebras_coder2\";\nexport const SCHEMA_VERSION = 5;\n\nexport const PROJECTS_TABLE = \"cerbras_coder_projects\";\nexport const ITERATIONS_TABLE = \"cerebras_coder_iterations\";\n\nexport async function createTables() {\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${PROJECTS_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n initial_prompt TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP\n )\n `);\n\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${ITERATIONS_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n project_id INTEGER NOT NULL,\n version_number INTEGER NOT NULL,\n prompt TEXT NOT NULL,\n code TEXT NOT NULL,\n created_at DATETIME DEFAULT CURRENT_TIMESTAMP,\n FOREIGN KEY(project_id) REFERENCES ${PROJECTS_TABLE}(id)\n )\n `);\n}",[],[170,242],["D",1749043771058],[192,193],[170],"5ed52eec-e295-11f0-b833-42dde27851f2","generate-code.ts","a0d6bff4-3c85-4347-af7a-21b061ce9aec",10,["D",1766779161746],"import Cerebras from \"https://esm.sh/@cerebras/cerebras_cloud_sdk\";\nimport STARTER_PROMPTS from \"../public/starter-prompts.js\";\n\nfunction extractCodeFromFence(text: string): string {\n const htmlMatch = text.match(/```html\\n([\\s\\S]*?)\\n```/);\n return htmlMatch ? htmlMatch[1].trim() : text;\n}\n\nfunction filterThinkingTokens(text: string): string {\n // Find the last occurrence of \n const lastThinkEndIndex = text.lastIndexOf(\"\");\n\n if (lastThinkEndIndex === -1) {\n // No found, return the full text\n return text;\n }\n\n // Return everything after the last token\n return text.substring(lastThinkEndIndex + \"\".length).trim();\n}\n\nexport async function generateCode(\n prompt: string,\n currentCode: string,\n model?: string,\n) {\n const starterPrompt = STARTER_PROMPTS.find((p) => p.prompt === prompt);\n if (starterPrompt) {\n return {\n code: starterPrompt.code,\n time: starterPrompt.performance.time,\n totalTokens: starterPrompt.performance.totalTokens,\n };\n } else {\n const client = new Cerebras({ apiKey: Deno.env.get(\"CEREBRAS_API_KEY\") });\n const completion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content:\n `You are an advanced AI coding assistant that generates websites.\n Include all necessary HTML, CSS, and JavaScript in a single complete HTML file.\n Avoid use of alert or input. Make yourself a modal if you need it.\n Unless otherwise specified, use a UI libray. Be sure to install it via CDN.\n Make the app look like a polished, pretty, full website.\n You can use and tags to work through your reasoning and planning.\n After your thinking, wrap your final code in a single \\`\\`\\`html code fence.\n Do NOT explain how your code works or how to run.\n Keep the chatter to an absolute minimum.`,\n },\n currentCode\n ? {\n role: \"system\",\n content:\n `Current code to modify:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: prompt,\n },\n ].filter(Boolean),\n model: model || \"qwen-3-32b\",\n });\n // First filter out thinking tokens, then extract code from fence\n const filteredContent = filterThinkingTokens(\n completion.choices[0].message.content,\n );\n return {\n code: extractCodeFromFence(filteredContent),\n time: completion.time_info.completion_time,\n totalTokens: completion.usage?.completion_tokens || 1,\n };\n }\n}",[],[175,252],["D",1749043771058],[190],[175],["D",1749043771058],["D",1789530642963],{"_101":100,"_108":104},{"_101":100,"_102":-5,"_103":104,"_18":53,"_105":106,"_107":25},{"_13":86,"_32":87,"_42":41,"_88":43,"_89":90,"_91":92,"_93":49,"_94":95,"_96":97,"_98":44,"_99":100},"ctx",{"_79":-5,"_130":300,"_301":302,"_303":304,"_305":25,"_306":25,"_307":25,"_308":56,"_309":-5,"_310":-7,"_311":-7,"_312":166,"_313":25,"_314":25,"_315":-5,"_316":25,"_317":25,"_318":25,"_319":-5},"ENV",{"_271":272,"_273":274,"_275":87,"_276":277,"_278":279,"_280":281,"_282":283,"_284":285,"_286":287,"_288":289,"_290":291,"_292":293,"_294":295,"_296":297,"_298":299},"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"]

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