[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_178":179,"_180":181},"routes/_app.x.$handle.$name",{"_98":97,"_32":45,"_106":85,"_27":107,"_13":14,"_108":-5,"_11":109,"_110":111,"_112":113,"_114":115,"_116":117,"_20":-5,"_118":119,"_120":121,"_122":25,"_123":124,"_125":49,"_126":-5,"_127":-5,"_128":129},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":49,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":31,"_57":49,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":78,"_79":80,"_81":82,"_83":25},"version",6,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","main.tsx","latestPath","fileId","450d7a94-25f0-11f0-ad23-569c3dd06744","name","fileType","http","content","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport Cerebras from \"https://esm.sh/@cerebras/cerebras_cloud_sdk\";\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { Prism as SyntaxHighlighter } from \"https://esm.sh/react-syntax-highlighter\";\nimport React, { useEffect, useState } from \"https://esm.sh/react@18.2.0\";\nimport { STARTER_PROMPTS } from \"https://esm.town/v/stevekrouse/cerebras_coder_prompts\";\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\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 inIframe = window.self !== window.top;\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: \"Something went wrong. (Error in the console.)\",\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 = import.meta.url.replace(\"esm\", \"val\").split(\"?\")[0];\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\nconst KEY = \"cerebras_coder2\";\nconst SCHEMA_VERSION = 5;\n\nif (typeof document !== \"undefined\") {\n client();\n} else {\n // Create tables for tracking generations\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${KEY}_projects_${SCHEMA_VERSION} (\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 ${KEY}_iterations_${SCHEMA_VERSION} (\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 ${KEY}_projects_${SCHEMA_VERSION}(id)\n )\n `);\n}\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\nasync 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 thinkingCompletion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: `You are an advanced AI programmer that creates plans for\n another AI to code websites. You DO NOT code yourself. You just explain the plan.\n You can include inline code if you want to explain how to do something.\n Be sure to use APIs that don't require keys and that you know well. Explain the structure of the API.\n `,\n },\n currentCode\n ? {\n role: \"system\",\n content: `Current code to work off:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: prompt,\n },\n ].filter(Boolean),\n model: \"llama-3.3-70b\",\n });\n const completion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: `You are an advanced AI builds websites\n Include all necessary HTML, CSS, and JavaScript in a single complete HTML file.\n Avoid use of alert or input.\n Use React, TailwindCSS, and Lucide. Be sure to install them all in the . Render React with Babel.\n Make the app look like a polished, pretty, and complete.\n Always wrap your response in \\`\\`\\`html code fences.`,\n },\n currentCode\n ? {\n role: \"system\",\n content: `Current code to work off:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: thinkingCompletion.choices[0].message.content,\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}\n\nexport default async function server(req: Request): Promise {\n // Dynamic import for SQLite to avoid client-side import\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n\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 const projectResult = await sqlite.execute(\n `INSERT INTO ${KEY}_projects_${SCHEMA_VERSION} (initial_prompt) VALUES (?)`,\n [prompt],\n );\n projectId = projectResult.lastInsertRowid as unknown as number;\n } else {\n // get last version number for this project id\n const data = await sqlite.execute(\n `SELECT version_number FROM ${KEY}_iterations_${SCHEMA_VERSION}\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 versionNumber = currentVersion + 1;\n }\n\n await sqlite.execute(\n `INSERT INTO ${KEY}_iterations_${SCHEMA_VERSION} \n (project_id, version_number, prompt, code) VALUES (?, ?, ?, ?)`,\n [projectId, versionNumber, prompt, code],\n );\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 let data;\n if (version === undefined) {\n data = await sqlite.execute(\n `SELECT code FROM cerebras_coder2_iterations_5\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 cerebras_coder2_iterations_5\n WHERE project_id = ? AND version_number = ?\n LIMIT 1`,\n [parseInt(project), parseInt(version)],\n );\n }\n const code = data.rows[0]?.code;\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 return new Response(\n `\n \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 headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}","/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport Cerebras from \"https://esm.sh/@cerebras/cerebras_cloud_sdk\";\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { Prism as SyntaxHighlighter } from \"https://esm.sh/react-syntax-highlighter\";\nimport React, { useEffect, useState } from \"https://esm.sh/react@18.2.0\";\nimport { STARTER_PROMPTS } from \"https://esm.town/v/stevekrouse/cerebras_coder_prompts\";\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 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 \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 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 {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 = import.meta.url.replace(\"esm\", \"val\").split(\"?\")[0];\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\nconst KEY = \"cerebras_coder2\";\nconst SCHEMA_VERSION = 5;\n\nif (typeof document !== \"undefined\") {\n client();\n} else {\n // Create tables for tracking generations\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${KEY}_projects_${SCHEMA_VERSION} (\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 ${KEY}_iterations_${SCHEMA_VERSION} (\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 ${KEY}_projects_${SCHEMA_VERSION}(id)\n )\n `);\n}\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\nasync 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 thinkingCompletion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: `You are an advanced AI programmer that creates plans for\n another AI to code websites. You DO NOT code yourself. You just explain the plan.\n You can include inline code if you want to explain how to do something.\n Be sure to use APIs that don't require keys and that you know well. Explain the structure of the API.\n `,\n },\n currentCode\n ? {\n role: \"system\",\n content: `Current code to work off:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: prompt,\n },\n ].filter(Boolean),\n model: \"llama-3.3-70b\",\n });\n const completion = await client.chat.completions.create({\n messages: [\n {\n role: \"system\",\n content: `You are an advanced AI builds websites\n Include all necessary HTML, CSS, and JavaScript in a single complete HTML file.\n Avoid use of alert or input.\n Use TailwindCSS, and Lucide. Be sure to install them all in the . \n Make the app look like a polished, pretty, and complete.\n Always wrap your response in \\`\\`\\`html code fences.`,\n },\n currentCode\n ? {\n role: \"system\",\n content: `Current code to work off:\\n\\`\\`\\`html\\n${currentCode}\\n\\`\\`\\``,\n }\n : undefined,\n {\n role: \"user\",\n content: thinkingCompletion.choices[0].message.content,\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}\n\nexport default async function server(req: Request): Promise {\n // Dynamic import for SQLite to avoid client-side import\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n\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 const projectResult = await sqlite.execute(\n `INSERT INTO ${KEY}_projects_${SCHEMA_VERSION} (initial_prompt) VALUES (?)`,\n [prompt],\n );\n projectId = projectResult.lastInsertRowid as unknown as number;\n } else {\n // get last version number for this project id\n const data = await sqlite.execute(\n `SELECT version_number FROM ${KEY}_iterations_${SCHEMA_VERSION}\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 versionNumber = currentVersion + 1;\n }\n\n await sqlite.execute(\n `INSERT INTO ${KEY}_iterations_${SCHEMA_VERSION} \n (project_id, version_number, prompt, code) VALUES (?, ?, ?, ?)`,\n [projectId, versionNumber, prompt, code],\n );\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 let data;\n if (version === undefined) {\n data = await sqlite.execute(\n `SELECT code FROM cerebras_coder2_iterations_5\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 cerebras_coder2_iterations_5\n WHERE project_id = ? AND version_number = ?\n LIMIT 1`,\n [parseInt(project), parseInt(version)],\n );\n }\n const code = data.rows[0]?.code;\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 return new Response(\n `\n \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 headers: { \"Content-Type\": \"text/html\" },\n },\n );\n}","createdAt",["D",1734451741072],"branchVersion","branchId","450adf82-25f0-11f0-ad23-569c3dd06744","id","450aa742-25f0-11f0-ad23-569c3dd06744","neatBlackSwift",["D",1746037432917],"deletedAt","legacyEnvVars",true,"privacy","public","httpPrivacy","description","imageUrl","a0bf3b31-15a5-4d5c-880e-4b1e22c9bc18","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",1,"orgId","e81e7335-6d4c-4764-a902-d0962bbfa9f7","tursoName","tursoHostname","tursoMeasuredAt","pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_98":97,"_105":101},"org",{"_98":97,"_99":-5,"_100":101,"_18":55,"_102":103,"_104":25},"branch",{"_13":84,"_32":85,"_43":42,"_86":44,"_87":88,"_89":90,"_91":51,"_92":93,"_94":63,"_95":45,"_96":97},"isOwned",7,"main","projectId","forkedBranchId","5ff74ffe-1adf-11f0-8160-569c3dd06744","forkedBranchVersion",0,"forkedProjectPrivacy","forkedProjectId","5ff6edf2-1adf-11f0-8160-569c3dd06744","forkedProjectOrgId","projectName","userHandle","stevekrouse","handle","displayName","avatar","https://images.clerk.dev/uploaded/img_2PqHa2Gsy93xQrjh2w78Xu0cChW.jpeg","tier","pro","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":174,"_47":-5,"_48":49,"_50":51,"_52":51,"_53":-5,"_54":-5,"_18":55,"_56":31,"_57":49,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":-5,"_65":-5,"_66":-5,"_67":-5,"_68":69,"_70":69,"_71":72,"_73":72,"_74":72,"_75":69,"_76":69,"_77":175,"_79":176,"_81":177,"_83":25},"tree",[165,166],"files",[165,166],"counts",{"_154":90,"_155":61,"_156":157,"_158":159,"_160":161},"contents",[139,140],"upstreamProject",{"_43":93,"_32":136,"_53":137,"_54":-5,"_50":51,"_77":138},"upstreamBranch",{"_43":88,"_38":130,"_131":132,"_32":85,"_86":93,"_13":133,"_87":-5,"_89":-5,"_134":135,"_47":-5,"_83":25,"_50":51,"_96":97,"_62":63,"_95":136},"emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},["D",1744820713851],"updatedAt",["D",1754089495761],278,"lockfileKey","1763743012986-esm.town_v_stevekrouse_cerebras_coder@278-main","cerebras_coder","An AI code assistant powered by Cerebras inference",{"_98":97,"_105":101},{"_43":148,"_32":149,"_30":150,"_142":-5,"_41":42,"_40":61,"_143":49,"_38":151,"_13":90,"_33":20,"_35":152,"_24":25,"_146":-5,"_27":153},{"_43":141,"_32":28,"_30":31,"_142":-5,"_41":42,"_40":14,"_143":25,"_38":144,"_13":145,"_33":34,"_35":37,"_24":25,"_146":-5,"_27":147},"45282128-25f0-11f0-ad23-569c3dd06744","parentId","latest",["D",1734451741072],5,"label",[28],"450dca08-25f0-11f0-ad23-569c3dd06744","README.md","450dcabc-25f0-11f0-ad23-569c3dd06744",["D",1734451130545],"This 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 a [Val Town environment variable](https://www.val.town/settings/environment-variables) called `CEREBRAS_API_KEY`\n\n# Todos\n\nI'm looking for collaborators to help. Fork & send me PRs!\n\n- [ ] Experiment with [two prompt chain](https://x.com/nutlope/status/1866856980033479020)",[149],"pulls","branches","forks",8,"envVars",{"_162":90,"_164":90},"connections",{"_162":90,"_163":90},"count","unfilledCount","emptyCount",{"_43":148,"_32":149,"_30":150,"_142":-5,"_41":42,"_40":61,"_143":49,"_38":171,"_13":90,"_33":20,"_35":152,"_24":25,"_146":-5,"_168":172,"_27":173},{"_43":141,"_32":28,"_30":31,"_142":-5,"_41":42,"_40":14,"_143":25,"_38":167,"_13":145,"_33":34,"_35":37,"_24":25,"_146":-5,"_168":169,"_27":170},["D",1734451741072],"children",[],[28],["D",1734451130545],[],[149],["D",1746037432917],{"_98":97,"_105":101},{"_98":97,"_99":-5,"_100":101,"_18":55,"_102":103,"_104":25},{"_13":84,"_32":85,"_43":42,"_86":44,"_87":88,"_89":90,"_91":51,"_92":93,"_94":63,"_95":45,"_96":97},"ctx",{"_77":-5,"_127":211,"_212":213,"_214":215,"_216":25,"_217":25,"_218":25,"_219":49,"_220":-5,"_221":-7,"_222":-7,"_223":90,"_224":25,"_225":25,"_226":-5,"_227":25,"_228":25,"_229":25,"_230":-5},"ENV",{"_182":183,"_184":185,"_186":85,"_187":188,"_189":190,"_191":192,"_193":194,"_195":196,"_197":198,"_199":200,"_201":202,"_203":204,"_205":206,"_207":208,"_209":210},"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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