[{"_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",2,"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","c40de552-269c-11f0-9aab-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 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 = 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 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}\n\nexport default async function cerebras_coder(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

\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// Existing code remains the same...\n\nfunction ProjectHistoryModal({ \n projectHistory, \n onClose, \n onSelectVersion \n}: { \n projectHistory: any[], \n onClose: () => void,\n onSelectVersion: (code: string) => void \n}) {\n return (\n

Project History

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

\n {projectHistory.length === 0 ? (\n

No project history found

\n ) : (\n

\n {projectHistory.map((project, index) => (\n

onSelectVersion(project.code)}\n >\n

\n {project.prompt || 'Untitled Prompt'}\n

\n {new Date(project.created_at).toLocaleString()}\n

\n \n

\n ))}\n

\n )}\n

\n );\n}\n\nfunction App() {\n // Existing state...\n const [projectHistoryModalOpen, setProjectHistoryModalOpen] = useState(false);\n const [projectHistory, setProjectHistory] = useState([]);\n\n const fetchProjectHistory = async () => {\n try {\n const response = await fetch('/project-history');\n const history = await response.json();\n setProjectHistory(history);\n } catch (error) {\n console.error('Failed to fetch project history', error);\n Toastify({\n text: \"Failed to load project history\",\n position: \"center\",\n duration: 3000,\n style: {\n background: \"linear-gradient(to right, #ff5f6d, #ffc371)\",\n borderRadius: \"20px\",\n },\n }).showToast();\n }\n };\n\n const handleProjectHistorySelect = (code: string) => {\n setCode(code);\n setProjectHistoryModalOpen(false);\n };\n\n // Modify the existing header to add project history button\n return (\n

\n {/* Existing header content... */}\n \n {/* Add Project History Button */}\n {\n fetchProjectHistory();\n setProjectHistoryModalOpen(true);\n }}\n className=\"bg-white text-black font-medium flex items-center gap-1 shadow-button px-4 py-2 rounded-full hover:cursor-pointer hover:bg-opacity-90 items-center\"\n >\n \n History\n \n

\n\n {/* Project History Modal */}\n {projectHistoryModalOpen && (\n setProjectHistoryModalOpen(false)}\n onSelectVersion={handleProjectHistorySelect}\n />\n )}\n\n {/* Rest of the existing App component... */}\n

\n );\n}\n\n// Existing client and server functions...\n\nexport default async function cerebras_coder(req: Request): Promise {\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n\n // Existing routes...\n\n // New route for fetching project history\n if (req.method === \"GET\" && new URL(req.url).pathname === \"/project-history\") {\n try {\n const data = await sqlite.execute(`\n SELECT \n p.id, \n p.initial_prompt, \n i.code, \n i.created_at \n FROM ${KEY}_projects_${SCHEMA_VERSION} p\n JOIN ${KEY}_iterations_${SCHEMA_VERSION} i ON p.id = i.project_id\n WHERE i.version_number = (\n SELECT MAX(version_number) \n FROM ${KEY}_iterations_${SCHEMA_VERSION} \n WHERE project_id = p.id\n )\n ORDER BY p.created_at DESC\n LIMIT 20\n `);\n\n return new Response(JSON.stringify(data.rows.map(row => ({\n id: row.id,\n prompt: row.initial_prompt,\n code: row.code,\n created_at: row.created_at\n }))), {\n headers: { \"Content-Type\": \"application/json\" }\n });\n } catch (error) {\n console.error('Error fetching project history:', error);\n return new Response(JSON.stringify([]), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" }\n });\n }\n }\n\n // Rest of the existing server function...\n}","createdAt",["D",1734593992705],"branchVersion","branchId","c40ada6a-269c-11f0-9aab-569c3dd06744","id","c40a9bc2-269c-11f0-9aab-569c3dd06744","cerebras_coder",["D",1746111519425],"deletedAt","legacyEnvVars",true,"privacy","public","httpPrivacy","description","imageUrl","01812145-6202-4c48-a4a9-12f5735f8b91","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","5911704f-4bfd-4202-bf15-6785a51b4976","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":61,"_90":51,"_91":92,"_93":94,"_95":45,"_96":97},"isOwned",3,"main","projectId","forkedBranchId","5ff74ffe-1adf-11f0-8160-569c3dd06744","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","5ff6edf2-1adf-11f0-8160-569c3dd06744","forkedProjectOrgId","e81e7335-6d4c-4764-a902-d0962bbfa9f7","projectName","userHandle","shyaankhan","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18ycVFUZVpJRHVNbUtJYkR2WEMxakx5dHptMEYifQ","tier","free","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",{"_155":61,"_156":146,"_157":61,"_158":159,"_160":161},"contents",[140,141],"upstreamProject",{"_43":92,"_32":45,"_53":137,"_54":-5,"_50":51,"_77":138},"upstreamBranch",{"_43":88,"_38":130,"_131":132,"_32":85,"_86":92,"_13":133,"_87":-5,"_89":-5,"_134":135,"_47":-5,"_83":25,"_50":51,"_96":136,"_62":94,"_95":45},"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",{"_98":136,"_105":139},"https://images.clerk.dev/uploaded/img_2PqHa2Gsy93xQrjh2w78Xu0cChW.jpeg",{"_43":149,"_32":150,"_30":151,"_143":-5,"_41":42,"_40":146,"_144":49,"_38":152,"_13":61,"_33":20,"_35":153,"_24":25,"_147":-5,"_27":154},{"_43":142,"_32":28,"_30":31,"_143":-5,"_41":42,"_40":14,"_144":25,"_38":145,"_13":146,"_33":34,"_35":37,"_24":25,"_147":-5,"_27":148},"c4121118-269c-11f0-9aab-569c3dd06744","parentId","latest",["D",1734593992705],1,"label",[28],"c40e242c-269c-11f0-9aab-569c3dd06744","README.md","c40e24ae-269c-11f0-9aab-569c3dd06744",["D",1734593924957],"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) (started [here](https://www.val.town/v/stevekrouse/neatBlackSwift))",[150],"pulls","branches","forks","envVars",{"_162":61,"_164":61},"connections",{"_162":61,"_163":61},"count","unfilledCount","emptyCount",{"_43":149,"_32":150,"_30":151,"_143":-5,"_41":42,"_40":146,"_144":49,"_38":171,"_13":61,"_33":20,"_35":153,"_24":25,"_147":-5,"_168":172,"_27":173},{"_43":142,"_32":28,"_30":31,"_143":-5,"_41":42,"_40":14,"_144":25,"_38":167,"_13":146,"_33":34,"_35":37,"_24":25,"_147":-5,"_168":169,"_27":170},["D",1734593992705],"children",[],[28],["D",1734593924957],[],[150],["D",1746111519425],{"_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":61,"_90":51,"_91":92,"_93":94,"_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":61,"_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","71c1b20804b3232a7e513be260cfffc1932a9e97","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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