[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_259":260,"_261":262},"routes/_app.x.$handle.$name",{"_99":98,"_32":46,"_107":89,"_27":37,"_13":14,"_108":-5,"_11":109,"_110":111,"_112":113,"_114":115,"_116":117,"_20":-5,"_118":-5,"_119":-5,"_120":25,"_121":122,"_123":60,"_124":-5,"_125":-5,"_126":127},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_44":45,"_32":46,"_39":47,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":54,"_55":-5,"_18":56,"_57":58,"_59":60,"_61":-5,"_62":63,"_64":65,"_66":67,"_68":-5,"_69":-5,"_70":-5,"_71":-5,"_72":73,"_74":73,"_75":76,"_77":76,"_78":76,"_79":73,"_80":73,"_81":82,"_83":84,"_85":86,"_87":25},"version",258,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":33,"_34":35,"_36":38,"_39":40,"_41":14,"_42":43,"_24":25},"previous",{"_30":31,"_32":33,"_34":35,"_36":37},"deleted",false,"deletedHere","path","public/starter-prompts.js","latestPath","fileId","ba3ff52e-1adf-11f0-b840-569c3dd06744","name","starter-prompts.js","fileType","script","content","","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];","createdAt",["D",1744820868022],"branchVersion","branchId","5ff74ffe-1adf-11f0-8160-569c3dd06744","id","5ff6edf2-1adf-11f0-8160-569c3dd06744","cerebras_coder",["D",1744820713851],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","An AI code assistant powered by Cerebras inference","imageUrl","a0bf3b31-15a5-4d5c-880e-4b1e22c9bc18","pinnedFileId","5ffa6270-1adf-11f0-8160-569c3dd06744","pinPreview",true,"pinMigrated","screenshotVersion",275,"likeCount",18,"orgId","e81e7335-6d4c-4764-a902-d0962bbfa9f7","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_99":98,"_106":102},"org",{"_99":98,"_100":-5,"_101":102,"_18":56,"_103":104,"_105":25},"branch",{"_13":88,"_32":89,"_44":43,"_90":45,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":46,"_97":98},"isOwned",278,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","stevekrouse","handle","displayName","avatar","https://images.clerk.dev/uploaded/img_2PqHa2Gsy93xQrjh2w78Xu0cChW.jpeg","tier","pro","canRestrictVals","profileImageUrl","branchName","adoptOrgId",{"_44":45,"_32":46,"_39":255,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":54,"_55":-5,"_18":56,"_57":58,"_59":60,"_61":-5,"_62":63,"_64":65,"_66":67,"_68":-5,"_69":-5,"_70":-5,"_71":-5,"_72":73,"_74":73,"_75":76,"_77":76,"_78":76,"_79":73,"_80":73,"_81":256,"_83":257,"_85":258,"_87":25},"tree",[184,186,189,193,194],"files",[184,185,186,187,188,189,190,191,192,193,194],"counts",{"_173":158,"_174":151,"_175":176,"_177":178,"_179":180},"contents",[129,130,131,132,133],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{"_58":128},"cerebrascoder.com",{"_44":167,"_32":168,"_30":169,"_136":-5,"_42":43,"_41":170,"_138":60,"_39":171,"_13":158,"_34":159,"_36":-5,"_24":25,"_143":-5,"_27":172},{"_44":161,"_32":162,"_30":163,"_136":-5,"_42":43,"_41":164,"_138":60,"_39":165,"_13":158,"_34":159,"_36":-5,"_24":25,"_143":-5,"_27":166},{"_44":154,"_32":51,"_30":155,"_136":-5,"_42":43,"_41":156,"_138":60,"_39":157,"_13":158,"_34":159,"_36":-5,"_24":25,"_143":-5,"_27":160},{"_44":146,"_32":147,"_30":148,"_136":-5,"_42":43,"_41":149,"_138":60,"_39":150,"_13":151,"_34":20,"_36":152,"_24":25,"_143":-5,"_27":153},{"_44":134,"_32":135,"_30":58,"_136":-5,"_42":43,"_41":137,"_138":25,"_39":139,"_13":140,"_34":141,"_36":142,"_24":25,"_143":144,"_27":145},"9ca3eaf2-1adf-11f0-9d6f-569c3dd06744","main.tsx","parentId",249,"latest",["D",1744820815638],238,"http","import { generateCode } from \"./backend/generate-code.ts\";\nimport { createTables } from \"./database/migrations.ts\";\nimport { createProject, getCode, getNextVersionNumber, insertVersion } from \"./database/queries.ts\";\n\nasync function servePublicFile(path: string): Promise {\n const url = new URL(\"./public/\" + path, import.meta.url);\n const text = await (await fetch(url, {\n headers: {\n \"User-Agent\": \"\", // to transpile TS to JS\n },\n })).text();\n const contentType = path.endsWith(\".html\") ? \"text/html\" : \"text/javascript\";\n return new Response(text, {\n headers: {\n \"Content-Type\": contentType,\n },\n });\n}\n\nawait createTables();\n\nexport default async function cerebras_coder(req: Request): Promise {\n if (req.method === \"POST\") {\n let { prompt, currentCode, versionHistory, projectId } = await req.json();\n\n const { code, time, totalTokens } = await generateCode(prompt, currentCode);\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 }\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 return servePublicFile(url.pathname.replace(\"/public/\", \"./\"));\n }\n\n return servePublicFile(\"index.html\");\n}","label","cerebras-coder",[135],"70ec021e-1adf-11f0-acfe-569c3dd06744","README.md","5ffa832c-1adf-11f0-8160-569c3dd06744",239,["D",1744820742285],1,"# cerebras_coder\n\nThis is an AI code assistant powered by [Cerebras](https://cerebras.ai/inference), running llama3.3-70b.\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`",[147],"97549f6a-1adf-11f0-acfe-569c3dd06744","9754a046-1adf-11f0-acfe-569c3dd06744",248,["D",1744820806734],0,"directory",[51],"84d7e694-1adf-11f0-9a42-569c3dd06744","database","84d7e73e-1adf-11f0-9a42-569c3dd06744",243,["D",1744820775718],[162],"7b83d90e-1adf-11f0-a59d-569c3dd06744","backend","7b83d9d6-1adf-11f0-a59d-569c3dd06744",240,["D",1744820760068],[168],"pulls","branches","forks",559,"envVars",{"_181":151,"_183":158},"connections",{"_181":158,"_182":158},"count","unfilledCount","emptyCount",{"_44":167,"_32":168,"_30":169,"_136":-5,"_42":43,"_41":170,"_138":60,"_39":252,"_13":158,"_34":159,"_36":-5,"_24":25,"_143":-5,"_196":253,"_27":254},{"_44":244,"_32":245,"_30":246,"_136":169,"_42":43,"_41":247,"_138":60,"_39":248,"_13":151,"_34":35,"_36":249,"_24":25,"_143":-5,"_196":250,"_27":251},{"_44":161,"_32":162,"_30":163,"_136":-5,"_42":43,"_41":164,"_138":60,"_39":241,"_13":158,"_34":159,"_36":-5,"_24":25,"_143":-5,"_196":242,"_27":243},{"_44":233,"_32":234,"_30":235,"_136":163,"_42":43,"_41":236,"_138":60,"_39":237,"_13":151,"_34":35,"_36":238,"_24":25,"_143":-5,"_196":239,"_27":240},{"_44":225,"_32":226,"_30":227,"_136":163,"_42":43,"_41":228,"_138":60,"_39":229,"_13":151,"_34":35,"_36":230,"_24":25,"_143":-5,"_196":231,"_27":232},{"_44":154,"_32":51,"_30":155,"_136":-5,"_42":43,"_41":156,"_138":60,"_39":222,"_13":158,"_34":159,"_36":-5,"_24":25,"_143":-5,"_196":223,"_27":224},{"_44":214,"_32":215,"_30":216,"_136":155,"_42":43,"_41":217,"_138":25,"_39":218,"_13":151,"_34":20,"_36":219,"_24":25,"_143":-5,"_196":220,"_27":221},{"_44":206,"_32":207,"_30":208,"_136":155,"_42":43,"_41":209,"_138":60,"_39":210,"_13":151,"_34":35,"_36":211,"_24":25,"_143":-5,"_196":212,"_27":213},{"_44":202,"_32":33,"_30":31,"_136":155,"_42":43,"_41":14,"_138":60,"_39":203,"_13":151,"_34":35,"_36":38,"_24":25,"_143":-5,"_196":204,"_27":205},{"_44":146,"_32":147,"_30":148,"_136":-5,"_42":43,"_41":149,"_138":60,"_39":199,"_13":151,"_34":20,"_36":152,"_24":25,"_143":-5,"_196":200,"_27":201},{"_44":134,"_32":135,"_30":58,"_136":-5,"_42":43,"_41":137,"_138":25,"_39":195,"_13":140,"_34":141,"_36":142,"_24":25,"_143":144,"_196":197,"_27":198},["D",1744820815638],"children",[],[135],["D",1744820742285],[],[147],"bbdcc7d6-1adf-11f0-a4ba-569c3dd06744",["D",1744820868022],[],[51,33],"a4d9bcb0-1adf-11f0-b804-569c3dd06744","index.ts","a341f89a-1adf-11f0-ac85-569c3dd06744",251,["D",1744820829413],"/** @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 PoweredBy = ({ className }: { className?: string }) => (\n \n

\n Powered by Llama3.3-70B on Cerebras\n

\n \n);\n\nfunction Hero({\n prompt,\n setPrompt,\n handleSubmit,\n handleStarterPromptClick,\n}: {\n prompt: string;\n setPrompt: React.Dispatch>;\n handleSubmit: (e: React.FormEvent) => void;\n handleStarterPromptClick: (promptItem: PromptItem) => void;\n}) {\n const inIframe = window.self !== window.top;\n return (\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\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 }),\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: \"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 (direction === \"forward\" && currentVersionIndex < versions.length - 1) {\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 = `${window.location.origin}/p/${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\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 make more edits.\n

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

\n \n

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

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

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

\n \n

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

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

\n {performance.tokensPerSecond.toFixed(2)} 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}",[],[51,207],"b2086d8c-1adf-11f0-a59d-569c3dd06744","index.html","b128eed2-1adf-11f0-b0c1-569c3dd06744",256,["D",1744820851530],"\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",[],[51,215],["D",1744820806734],[190,191,192],[51],"918fb038-1adf-11f0-96bb-569c3dd06744","queries.ts","8da75fc0-1adf-11f0-aa98-569c3dd06744",247,["D",1744820797051],"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}",[],[162,226],"8b909224-1adf-11f0-b289-569c3dd06744","migrations.ts","885d89c2-1adf-11f0-a57d-569c3dd06744",245,["D",1744820786991],"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 ${PROJECTS_TABLE}(id)\n )\n `);\n}",[],[162,234],["D",1744820775718],[187,188],[162],"80c56d24-1adf-11f0-b703-569c3dd06744","generate-code.ts","7f9d7e64-1adf-11f0-96bb-569c3dd06744",242,["D",1744820768883],"import Cerebras from \"https://esm.sh/@cerebras/cerebras_cloud_sdk\";\nimport STARTER_PROMPTS from \"../public/starter-prompts.js\";\n\nfunction extractCodeFromFence(text: string): string {\n const htmlMatch = text.match(/```html\\n([\\s\\S]*?)\\n```/);\n return htmlMatch ? htmlMatch[1].trim() : text;\n}\n\nexport async function generateCode(prompt: string, currentCode: string) {\n const starterPrompt = STARTER_PROMPTS.find(p => p.prompt === prompt);\n if (starterPrompt) {\n return {\n code: starterPrompt.code,\n time: starterPrompt.performance.time,\n totalTokens: starterPrompt.performance.totalTokens,\n };\n } else {\n const client = new Cerebras({ apiKey: Deno.env.get(\"CEREBRAS_API_KEY\") });\n const completion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: `You are an advanced AI coding assistant that generates websites. \n Include all necessary HTML, CSS, and JavaScript in a single complete HTML file.\n Avoid use of alert or input. Make yourself a modal if you need it.\n Unless otherwise specified, use a UI libray. Be sure to install it via CDN.\n Make the app look like a polished, pretty, full website.\n Before coding, write your plan in a \\`\\`\\`thinking code fence. \n Wrap your code in a single \\`\\`\\`html code fence.\n Do NOT explain how your code works or how to run.\n Keep the chatter to an absolute minimum.`,\n },\n currentCode\n ? {\n role: \"system\",\n content: `Current code to modify:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: prompt,\n },\n ].filter(Boolean),\n model: \"llama-3.3-70b\",\n });\n return {\n code: extractCodeFromFence(completion.choices[0].message.content),\n time: completion.time_info.completion_time,\n totalTokens: completion.usage?.completion_tokens || 1,\n };\n }\n}",[],[168,245],["D",1744820760068],[185],[168],["D",1744820713851],{"_99":98,"_106":102},{"_99":98,"_100":-5,"_101":102,"_18":56,"_103":104,"_105":25},{"_13":88,"_32":89,"_44":43,"_90":45,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":46,"_97":98},"ctx",{"_81":-5,"_125":292,"_293":294,"_295":296,"_297":25,"_298":25,"_299":25,"_300":60,"_301":-5,"_302":-7,"_303":-7,"_304":158,"_305":25,"_306":25,"_307":-5,"_308":25,"_309":25,"_310":25,"_311":-5},"ENV",{"_263":264,"_265":266,"_267":89,"_268":269,"_270":271,"_272":273,"_274":275,"_276":277,"_278":279,"_280":281,"_282":283,"_284":285,"_286":287,"_288":289,"_290":291},"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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