[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_303":304,"_305":306},"routes/_app.x.$handle.$name",{"_11":12,"_13":14,"_15":-7,"_18":19,"_17":-7,"_221":-5,"_20":222,"_22":223,"_224":225,"_226":227,"_26":228,"_24":229,"_230":231,"_232":233,"_234":50,"_235":236,"_237":72,"_238":-5,"_239":-5,"_240":241},"routes/_app.x.$handle.$name.code.$",{"_11":12,"_13":14,"_15":16,"_17":-7,"_18":19,"_20":21,"_22":23,"_24":25,"_26":27,"_28":29,"_30":-5,"_31":32,"_33":32,"_34":-5},"handle","fame144","name","four-cerebras_coder","branchName","main","version","path","public","project",{"_35":177,"_13":14,"_37":178,"_48":-5,"_179":50,"_51":19,"_180":19,"_181":182,"_183":-5,"_184":185,"_186":105,"_187":72,"_188":-5,"_189":-5,"_190":32,"_54":191,"_192":-5,"_193":-5,"_194":-5,"_195":-5,"_196":197,"_198":197,"_199":200,"_201":200,"_202":200,"_203":197,"_204":197,"_205":206,"_207":208,"_209":210,"_49":50},"tree",[97,98,99,100,101,102],"file",{"_35":93,"_13":19,"_63":66,"_65":-5,"_67":68,"_69":70,"_71":72,"_37":94,"_17":32,"_74":95,"_76":-5,"_78":50,"_79":-5,"_18":96},"contents",[58,59,60],"upstream",{"_35":36,"_37":38,"_39":40,"_13":16,"_41":42,"_17":43,"_44":-5,"_45":-5,"_46":47,"_48":-5,"_49":50,"_51":19,"_52":53,"_54":55,"_56":57},"pull","ahead",0,"behind","envVars","id","5ff74ffe-1adf-11f0-8160-569c3dd06744","createdAt",["D",1744820713851],"updatedAt",["D",1754089495761],"projectId","5ff6edf2-1adf-11f0-8160-569c3dd06744",278,"forkedBranchId","forkedBranchVersion","lockfileKey","1763743012986-esm.town_v_stevekrouse_cerebras_coder@278-main","deletedAt","isOwned",false,"privacy","userHandle","stevekrouse","orgId","e81e7335-6d4c-4764-a902-d0962bbfa9f7","projectName","cerebras_coder",{"_35":87,"_13":88,"_63":89,"_65":66,"_67":68,"_69":70,"_71":72,"_37":90,"_17":32,"_74":24,"_76":91,"_78":50,"_79":-5,"_18":92},{"_35":81,"_13":82,"_63":83,"_65":66,"_67":68,"_69":70,"_71":72,"_37":84,"_17":32,"_74":75,"_76":85,"_78":50,"_79":-5,"_18":86},{"_35":61,"_13":62,"_63":64,"_65":66,"_67":68,"_69":70,"_71":72,"_37":73,"_17":32,"_74":75,"_76":77,"_78":50,"_79":-5,"_18":80},"7fd57b6c-1dda-11f1-95de-42dde27851f2","starter-prompts.js","fileId","019ce0ad-2a94-75d5-a98e-ff3d0ab4f5cd","parentId","019ce0ad-2a94-75d5-a98f-014daba211b7","branchId","7fcf4616-1dda-11f1-95de-42dde27851f2","branchVersion",1,"latest",true,["D",1773295970877],"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];","deleted","label",[19,62],"7fd44b70-1dda-11f1-95de-42dde27851f2","index.ts","019ce0ad-2a94-75d5-a98e-f9f7d4eb6cd7",["D",1773295970877],"/** @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}",[19,82],"7fd43c34-1dda-11f1-95de-42dde27851f2","index.html","019ce0ad-2a94-75d5-a98e-f7bff9a96182",["D",1773295970877],"\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",[19,88],"7fd5b4d8-1dda-11f1-95de-42dde27851f2",["D",1773295970877],"directory",[19],{"_35":163,"_13":164,"_63":165,"_65":-5,"_67":68,"_69":70,"_71":72,"_37":166,"_17":32,"_74":95,"_76":-5,"_78":50,"_79":-5,"_109":167,"_18":168},{"_35":141,"_13":142,"_63":143,"_65":-5,"_67":68,"_69":70,"_71":72,"_37":144,"_17":32,"_74":95,"_76":-5,"_78":50,"_79":-5,"_109":145,"_18":146},{"_35":93,"_13":19,"_63":66,"_65":-5,"_67":68,"_69":70,"_71":72,"_37":126,"_17":32,"_74":95,"_76":-5,"_78":50,"_79":-5,"_109":127,"_18":128},{"_35":119,"_13":120,"_63":121,"_65":-5,"_67":68,"_69":70,"_71":72,"_37":122,"_17":32,"_74":24,"_76":123,"_78":50,"_79":-5,"_109":124,"_18":125},{"_35":112,"_13":113,"_63":114,"_65":-5,"_67":68,"_69":70,"_71":72,"_37":115,"_17":32,"_74":24,"_76":116,"_78":50,"_79":-5,"_109":117,"_18":118},{"_35":103,"_13":104,"_63":105,"_65":-5,"_67":68,"_69":70,"_71":72,"_37":106,"_17":32,"_74":107,"_76":108,"_78":50,"_79":-5,"_109":110,"_18":111},"7fd5bd0c-1dda-11f1-95de-42dde27851f2","main.tsx","019ce0ad-2a94-75d5-a98f-0c5f5de4c313",["D",1773295970877],"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 {\n createProject,\n getCode,\n getNextVersionNumber,\n insertVersion,\n} from \"./database/queries.ts\";\n\nawait createTables();\n\nexport default () =>\n new Response(\n null,\n {\n status: 302,\n headers: {\n \"Location\": \"https://cerebras.ai/code\",\n },\n },\n );\n\nasync function cerebras_coder(req: Request): Promise {\n if (req.method === \"POST\") {\n try {\n let { prompt, currentCode, versionHistory, projectId } = await req.json();\n const { code, time, totalTokens } = await generateCode(\n prompt,\n 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 } 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}","children",[],[104],"7fd5ba0a-1dda-11f1-95de-42dde27851f2","TODOs.md","019ce0ad-2a94-75d5-a98f-08b9e282638e",["D",1773295970877],"- [ ] 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)",[],[113],"7fd5b668-1dda-11f1-95de-42dde27851f2","README.md","019ce0ad-2a94-75d5-a98f-0512e7ed348c",["D",1773295970877],"# 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`",[],[120],["D",1773295970877],[129,130,131],[19],{"_35":87,"_13":88,"_63":89,"_65":66,"_67":68,"_69":70,"_71":72,"_37":138,"_17":32,"_74":24,"_76":91,"_78":50,"_79":-5,"_109":139,"_18":140},{"_35":81,"_13":82,"_63":83,"_65":66,"_67":68,"_69":70,"_71":72,"_37":135,"_17":32,"_74":75,"_76":85,"_78":50,"_79":-5,"_109":136,"_18":137},{"_35":61,"_13":62,"_63":64,"_65":66,"_67":68,"_69":70,"_71":72,"_37":132,"_17":32,"_74":75,"_76":77,"_78":50,"_79":-5,"_109":133,"_18":134},["D",1773295970877],[],[19,62],["D",1773295970877],[],[19,82],["D",1773295970877],[],[19,88],"7fd43ac2-1dda-11f1-95de-42dde27851f2","database","019ce0ad-2a94-75d5-a98e-f27f15074736",["D",1773295970877],[147,148],[142],{"_35":156,"_13":157,"_63":158,"_65":143,"_67":68,"_69":70,"_71":72,"_37":159,"_17":32,"_74":75,"_76":160,"_78":50,"_79":-5,"_109":161,"_18":162},{"_35":149,"_13":150,"_63":151,"_65":143,"_67":68,"_69":70,"_71":72,"_37":152,"_17":32,"_74":75,"_76":153,"_78":50,"_79":-5,"_109":154,"_18":155},"7fd42f46-1dda-11f1-95de-42dde27851f2","queries.ts","019ce0ad-2a94-75d5-a98e-ed9bbf4b2681",["D",1773295970877],"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}",[],[142,150],"7fd4292e-1dda-11f1-95de-42dde27851f2","migrations.ts","019ce0ad-2a94-75d5-a98e-eb904e6a1ecc",["D",1773295970877],"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 ${PROJECTS_TABLE}(id)\n )\n `);\n}",[],[142,157],"7fd42780-1dda-11f1-95de-42dde27851f2","backend","019ce0ad-2a94-75d5-a98e-e5d0f1ba075e",["D",1773295970877],[169],[164],{"_35":170,"_13":171,"_63":172,"_65":165,"_67":68,"_69":70,"_71":72,"_37":173,"_17":32,"_74":75,"_76":174,"_78":50,"_79":-5,"_109":175,"_18":176},"7fd40b9c-1dda-11f1-95de-42dde27851f2","generate-code.ts","019ce0ad-2a94-75d5-a98e-e190b77c9c66",["D",1773295970877],"import Cerebras from \"https://esm.sh/@cerebras/cerebras_cloud_sdk\";\nimport STARTER_PROMPTS from \"../public/starter-prompts.js\";\n\nfunction extractCodeFromFence(text: string): string {\n const htmlMatch = text.match(/```html\\n([\\s\\S]*?)\\n```/);\n return htmlMatch ? htmlMatch[1].trim() : text;\n}\n\nexport async function generateCode(prompt: string, currentCode: string) {\n const starterPrompt = STARTER_PROMPTS.find(p => p.prompt === prompt);\n if (starterPrompt) {\n return {\n code: starterPrompt.code,\n time: starterPrompt.performance.time,\n totalTokens: starterPrompt.performance.totalTokens,\n };\n } else {\n const client = new Cerebras({ apiKey: Deno.env.get(\"CEREBRAS_API_KEY\") });\n const completion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: `You are an advanced AI coding assistant that generates websites. \n Include all necessary HTML, CSS, and JavaScript in a single complete HTML file.\n Avoid use of alert or input. Make yourself a modal if you need it.\n Unless otherwise specified, use a UI libray. Be sure to install it via CDN.\n Make the app look like a polished, pretty, full website.\n Before coding, write your plan in a \\`\\`\\`thinking code fence. \n Wrap your code in a single \\`\\`\\`html code fence.\n Do NOT explain how your code works or how to run.\n Keep the chatter to an absolute minimum.`,\n },\n currentCode\n ? {\n role: \"system\",\n content: `Current code to modify:\\n\\`\\`\\`html\\n${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}",[],[164,171],"7fc9f3d2-1dda-11f1-95de-42dde27851f2",["D",1773295970877],"legacyEnvVars","httpPrivacy","description","An AI code assistant powered by Cerebras 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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