[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_270":271,"_272":273},"routes/_app.x.$handle.$name",{"_101":100,"_32":46,"_109":87,"_27":110,"_13":14,"_111":-5,"_11":112,"_113":114,"_115":116,"_117":118,"_119":120,"_20":-5,"_121":122,"_123":124,"_125":25,"_126":127,"_128":59,"_129":-5,"_130":-5,"_131":132},"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":-5,"_54":-5,"_18":55,"_56":57,"_58":59,"_60":59,"_61":-5,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":-5,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":80,"_81":82,"_83":84,"_85":25},"version",2,"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","backend/generate-code.ts","latestPath","fileId","303e9766-c116-48de-b6b0-7f96fbf86da2","name","generate-code.ts","fileType","script","content","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${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: prompt,\n },\n ].filter(Boolean),\n model: \"llama-3.3-70b\",\n });\n return {\n code: extractCodeFromFence(completion.choices[0].message.content),\n time: completion.time_info.completion_time,\n totalTokens: completion.usage?.completion_tokens || 1,\n };\n }\n}","import Cerebras from \"https://esm.sh/@cerebras/cerebras_cloud_sdk\";\nimport STARTER_PROMPTS from \"../public/starter-prompts.js\";\n\nfunction extractCodeFromFence(text: string): string {\n const htmlMatch = text.match(/```html\\n([\\s\\S]*?)\\n```/);\n return htmlMatch ? htmlMatch[1].trim() : text;\n}\n\ninterface GenerateCodeOptions {\n backend?: 'cerebras' | 'openrouter';\n model?: string;\n}\n\nexport async function generateCode(\n prompt: string, \n currentCode: string, \n options: GenerateCodeOptions = {}\n) {\n const { backend = 'cerebras', model } = options;\n \n const starterPrompt = STARTER_PROMPTS.find(p => p.prompt === prompt);\n if (starterPrompt) {\n return {\n code: starterPrompt.code,\n time: starterPrompt.performance.time,\n totalTokens: starterPrompt.performance.totalTokens,\n };\n }\n\n const systemMessage = `You are an advanced AI coding assistant that generates websites. \n Include all necessary HTML, CSS, and JavaScript in a single complete HTML file.\n Avoid use of alert or input. Make yourself a modal if you need it.\n Unless otherwise specified, use a UI libray. Be sure to install it via CDN.\n Make the app look like a polished, pretty, full website.\n Before coding, write your plan in a \\`\\`\\`thinking code fence. \n Wrap your code in a single \\`\\`\\`html code fence.\n Do NOT explain how your code works or how to run.\n Keep the chatter to an absolute minimum.`;\n\n const messages = [\n {\n role: \"system\",\n content: systemMessage,\n },\n currentCode\n ? {\n role: \"system\",\n content: `Current code to modify:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: prompt,\n },\n ].filter(Boolean);\n\n if (backend === 'openrouter') {\n return await generateWithOpenRouter(messages, model || 'qwen/qwen-2.5-32b-instruct');\n } else {\n return await generateWithCerebras(messages, model || 'llama-3.3-70b');\n }\n}\n\nasync function generateWithCerebras(messages: any[], model: string) {\n const client = new Cerebras({ apiKey: Deno.env.get(\"CEREBRAS_API_KEY\") });\n const completion = await client.chat.completions.create({\n messages,\n model,\n });\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\nasync function generateWithOpenRouter(messages: any[], model: string) {\n const startTime = Date.now();\n \n const response = await fetch('https://openrouter.ai/api/v1/chat/completions', {\n method: 'POST',\n headers: {\n 'Authorization': `Bearer ${Deno.env.get('OPENROUTER_API_KEY')}`,\n 'Content-Type': 'application/json',\n 'HTTP-Referer': 'https://cerebrascoder.com',\n 'X-Title': 'Cerebras Coder'\n },\n body: JSON.stringify({\n model,\n messages,\n temperature: 0.7,\n })\n });\n\n if (!response.ok) {\n throw new Error(`OpenRouter API error: ${response.status} ${response.statusText}`);\n }\n\n const completion = await response.json();\n const endTime = Date.now();\n const time = (endTime - startTime) / 1000;\n\n return {\n code: extractCodeFromFence(completion.choices[0].message.content),\n time,\n totalTokens: completion.usage?.completion_tokens || 1,\n };\n}","createdAt",["D",1748110791564],"branchVersion","branchId","fec6dc68-38ca-11f0-b8b3-9e149126039e","id","fec50f1e-38ca-11f0-b8b3-9e149126039e","cerebras_coder",["D",1748110495727],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","imageUrl","f4e5b750-38ca-11f0-b940-6f99fbd8898f","pinnedFileId","677e5465-3941-43fa-a9e1-9917fca00c98","pinPreview",true,"pinMigrated","screenshotVersion","likeCount",0,"orgId","6022e755-8003-44ed-8937-4e8c03a75045","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_101":100,"_108":104},"org",{"_101":100,"_102":-5,"_103":104,"_18":55,"_105":106,"_107":25},"branch",{"_13":86,"_32":87,"_44":43,"_88":45,"_89":90,"_91":92,"_93":51,"_94":95,"_96":97,"_98":46,"_99":100},"isOwned",13,"main","projectId","forkedBranchId","5ff74ffe-1adf-11f0-8160-569c3dd06744","forkedBranchVersion",274,"forkedProjectPrivacy","forkedProjectId","5ff6edf2-1adf-11f0-8160-569c3dd06744","forkedProjectOrgId","e81e7335-6d4c-4764-a902-d0962bbfa9f7","projectName","userHandle","downchuck_gmail_com","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoiZGVmYXVsdCIsImlpZCI6Imluc18yTm10cGhQUklwU0tqZHNiOHNnNGd2ZjJURFUiLCJyaWQiOiJ1c2VyXzJ4WU1HRmIzMWJ0Qm1VVzUxWWJsaVVBWERGWSJ9","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_44":45,"_32":46,"_39":266,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":57,"_58":59,"_60":59,"_61":-5,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":-5,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":267,"_81":268,"_83":269,"_85":25},"tree",[196,198,201,205,206,207],"files",[196,197,198,199,200,201,202,203,204,205,206,207],"counts",{"_186":63,"_187":152,"_188":63,"_189":190,"_191":192},"contents",[143,144,145,146,147,148],"upstreamProject",{"_44":95,"_32":46,"_53":140,"_54":-5,"_50":51,"_79":141},"upstreamBranch",{"_44":90,"_39":133,"_134":135,"_32":87,"_88":95,"_13":136,"_89":-5,"_91":-5,"_137":138,"_48":-5,"_85":25,"_50":51,"_99":139,"_64":97,"_98":46},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1744820713851],"updatedAt",["D",1754089495761],278,"lockfileKey","1763743012986-esm.town_v_stevekrouse_cerebras_coder@278-main","stevekrouse","An AI code assistant powered by Cerebras inference",{"_101":139,"_108":142},"https://images.clerk.dev/uploaded/img_2PqHa2Gsy93xQrjh2w78Xu0cChW.jpeg",{"_44":181,"_32":182,"_30":183,"_151":-5,"_42":43,"_41":152,"_153":59,"_39":184,"_13":63,"_34":174,"_36":-5,"_24":25,"_157":-5,"_27":185},{"_44":176,"_32":177,"_30":178,"_151":-5,"_42":43,"_41":152,"_153":59,"_39":179,"_13":63,"_34":174,"_36":-5,"_24":25,"_157":-5,"_27":180},{"_44":171,"_32":51,"_30":172,"_151":-5,"_42":43,"_41":152,"_153":59,"_39":173,"_13":63,"_34":174,"_36":-5,"_24":25,"_157":-5,"_27":175},{"_44":165,"_32":166,"_30":167,"_151":-5,"_42":43,"_41":152,"_153":25,"_39":168,"_13":63,"_34":20,"_36":169,"_24":25,"_157":-5,"_27":170},{"_44":159,"_32":160,"_30":161,"_151":-5,"_42":43,"_41":152,"_153":59,"_39":162,"_13":63,"_34":20,"_36":163,"_24":25,"_157":-5,"_27":164},{"_44":149,"_32":150,"_30":57,"_151":-5,"_42":43,"_41":152,"_153":25,"_39":154,"_13":63,"_34":155,"_36":156,"_24":25,"_157":-5,"_27":158},"fec92838-38ca-11f0-b8b3-9e149126039e","main.tsx","parentId",1,"latest",["D",1748110495727],"http","import { serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { generateCode } from \"./backend/generate-code.ts\";\nimport { createTables } from \"./database/migrations.ts\";\nimport { createProject, getCode, getNextVersionNumber, insertVersion } from \"./database/queries.ts\";\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 try {\n const { code, time, totalTokens } = await generateCode(prompt, currentCode);\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}","label",[150],"fec92612-38ca-11f0-b8b3-9e149126039e","TODOs.md","ecf31208-2c88-4912-964c-ae279fce9207",["D",1748110495727],"- [ ] Convert main.tsx to hono\n- [ ] Add caching to frontend\n- [ ] Add CDN on cloudflare for cerebrascoder.com (ensure we turn on the right switch; there are notes in github issues about this)",[160],"fec9237e-38ca-11f0-b8b3-9e149126039e","README.md","18562e42-4f01-44ed-ae39-4a063b8b23e3",["D",1748110495727],"# 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`",[166],"fec920a4-38ca-11f0-b8b3-9e149126039e","091e07e3-9ca9-489e-a265-96745dbee88a",["D",1748110495727],"directory",[51],"fec8a354-38ca-11f0-b8b3-9e149126039e","database","e2378834-f8fb-4a1f-ac65-de8fb086b4d2",["D",1748110495727],[177],"fec89896-38ca-11f0-b8b3-9e149126039e","backend","9e171db5-2576-4ecc-a9d3-b3eba770c0b3",["D",1748110495727],[182],"pulls","branches","forks","envVars",{"_193":152,"_195":63},"connections",{"_193":63,"_194":63},"count","unfilledCount","emptyCount",{"_44":181,"_32":182,"_30":183,"_151":-5,"_42":43,"_41":152,"_153":59,"_39":263,"_13":63,"_34":174,"_36":-5,"_24":25,"_157":-5,"_209":264,"_27":265},{"_44":259,"_32":33,"_30":31,"_151":183,"_42":43,"_41":14,"_153":59,"_39":260,"_13":152,"_34":35,"_36":38,"_24":25,"_157":-5,"_209":261,"_27":262},{"_44":176,"_32":177,"_30":178,"_151":-5,"_42":43,"_41":152,"_153":59,"_39":256,"_13":63,"_34":174,"_36":-5,"_24":25,"_157":-5,"_209":257,"_27":258},{"_44":249,"_32":250,"_30":251,"_151":178,"_42":43,"_41":152,"_153":59,"_39":252,"_13":63,"_34":35,"_36":253,"_24":25,"_157":-5,"_209":254,"_27":255},{"_44":242,"_32":243,"_30":244,"_151":178,"_42":43,"_41":152,"_153":59,"_39":245,"_13":63,"_34":35,"_36":246,"_24":25,"_157":-5,"_209":247,"_27":248},{"_44":171,"_32":51,"_30":172,"_151":-5,"_42":43,"_41":152,"_153":59,"_39":239,"_13":63,"_34":174,"_36":-5,"_24":25,"_157":-5,"_209":240,"_27":241},{"_44":232,"_32":233,"_30":234,"_151":172,"_42":43,"_41":152,"_153":59,"_39":235,"_13":63,"_34":20,"_36":236,"_24":25,"_157":-5,"_209":237,"_27":238},{"_44":225,"_32":226,"_30":227,"_151":172,"_42":43,"_41":152,"_153":25,"_39":228,"_13":63,"_34":35,"_36":229,"_24":25,"_157":-5,"_209":230,"_27":231},{"_44":218,"_32":219,"_30":220,"_151":172,"_42":43,"_41":152,"_153":59,"_39":221,"_13":63,"_34":35,"_36":222,"_24":25,"_157":-5,"_209":223,"_27":224},{"_44":165,"_32":166,"_30":167,"_151":-5,"_42":43,"_41":152,"_153":25,"_39":215,"_13":63,"_34":20,"_36":169,"_24":25,"_157":-5,"_209":216,"_27":217},{"_44":159,"_32":160,"_30":161,"_151":-5,"_42":43,"_41":152,"_153":59,"_39":212,"_13":63,"_34":20,"_36":163,"_24":25,"_157":-5,"_209":213,"_27":214},{"_44":149,"_32":150,"_30":57,"_151":-5,"_42":43,"_41":152,"_153":25,"_39":208,"_13":63,"_34":155,"_36":156,"_24":25,"_157":-5,"_209":210,"_27":211},["D",1748110495727],"children",[],[150],["D",1748110495727],[],[160],["D",1748110495727],[],[166],"fec90d12-38ca-11f0-b8b3-9e149126039e","starter-prompts.js","318a5245-83f5-434a-a45d-08ea0221783a",["D",1748110495727],"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];",[],[51,219],"fec8a994-38ca-11f0-b8b3-9e149126039e","index.ts","53605ab4-0650-4665-9ccc-4a72c764d39a",["D",1748110495727],"/** @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}",[],[51,226],"fec8a584-38ca-11f0-b8b3-9e149126039e","index.html","296d955f-47c1-4d3e-80cc-72913920f734",["D",1748110495727],"\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",[],[51,233],["D",1748110495727],[202,203,204],[51],"fec89f94-38ca-11f0-b8b3-9e149126039e","queries.ts","3f0fdc9d-e1ae-4baf-b145-36ff08cc2962",["D",1748110495727],"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}",[],[177,243],"fec89bfc-38ca-11f0-b8b3-9e149126039e","migrations.ts","bf2f2125-ff52-4c0b-9e84-777c7d12d5ba",["D",1748110495727],"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}",[],[177,250],["D",1748110495727],[199,200],[177],"af1993bc-38cb-11f0-99f9-9e149126039e",["D",1748110791564],[],[182,33],["D",1748110495727],[197],[182],["D",1748110495727],{"_101":100,"_108":104},{"_101":100,"_102":-5,"_103":104,"_18":55,"_105":106,"_107":25},{"_13":86,"_32":87,"_44":43,"_88":45,"_89":90,"_91":92,"_93":51,"_94":95,"_96":97,"_98":46,"_99":100},"ctx",{"_79":-5,"_130":303,"_304":305,"_306":307,"_308":25,"_309":25,"_310":25,"_311":59,"_312":-5,"_313":-7,"_314":-7,"_315":63,"_316":25,"_317":25,"_318":-5,"_319":25,"_320":25,"_321":25,"_322":-5},"ENV",{"_274":275,"_276":277,"_278":87,"_279":280,"_281":282,"_283":284,"_285":286,"_287":288,"_289":290,"_291":292,"_293":294,"_295":296,"_297":298,"_299":300,"_301":302},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","fdb67791413f4386b4dbf18f354029a617f6160f","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"]

Task Master

NYC Weather

Markdown Editor

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

Share your project

Latest Version

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

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

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

Diff · v2