Hi

\"\n});\n```\n\n## Val Town Utility Functions\n\nVal Town provides several utility functions to help with common project tasks.\n\n### Importing Utilities\n\nAlways import utilities with version pins to avoid breaking changes:\n\n```ts\nimport { parseProject, readFile, serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n```\n\n### Available Utilities\n\n\n#### **serveFile** - Serve project files with proper content types\n\nFor example, in Hono:\n\n```ts\n// serve all files in frontend/ and shared/\napp.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n```\n\n#### **readFile** - Read files from within the project:\n\n```ts\n// Read a file from the project\nconst fileContent = await readFile(\"/frontend/index.html\", import.meta.url);\n```\n\n#### **listFiles** - List all files in the project\n\n```ts\nconst files = await listFiles(import.meta.url);\n```\n\n#### **parseProject** - Extract information about the current project from import.meta.url\n\nThis is useful for including info for linking back to a val, ie in \"view source\" urls:\n\n```ts\nconst projectVal = parseProject(import.meta.url);\nconsole.log(projectVal.username); // Owner of the project\nconsole.log(projectVal.name); // Project name\nconsole.log(projectVal.version); // Version number\nconsole.log(projectVal.branch); // Branch name\nconsole.log(projectVal.links.self.project); // URL to the project page\n```\n\nHowever, it's *extremely importing* to note that `parseProject` and other Standard Library utilities ONLY RUN ON THE SERVER.\nIf you need access to this data on the client, run it in the server and pass it to the client by splicing it into the HTML page\nor by making an API request for it.\n\n## Val Town Platform Specifics\n\n- **Redirects:** Use `return new Response(null, { status: 302, headers: { Location: \"/place/to/redirect\" }})` instead of `Response.redirect` which is broken\n- **Images:** Avoid external images or base64 images. Use emojis, unicode symbols, or icon fonts/libraries instead\n- **AI Image:** To inline generate an AI image use: `

`\n- **Storage:** DO NOT use the Deno KV module for storage\n- **Browser APIs:** DO NOT use the `alert()`, `prompt()`, or `confirm()` methods\n- **Weather Data:** Use open-meteo for weather data (doesn't require API keys) unless otherwise specified\n- **View Source:** Add a view source link by importing & using `import.meta.url.replace(\"ems.sh\", \"val.town)\"` (or passing this data to the client) and include `target=\"_top\"` attribute\n- **Error Debugging:** Add `` to HTML to capture client-side errors\n- **Error Handling:** Only use try...catch when there's a clear local resolution; Avoid catches that merely log or return 500s. Let errors bubble up with full context\n- **Environment Variables:** Use `Deno.env.get('keyname')` when you need to, but generally prefer APIs that don't require keys\n- **Imports:** Use `https://esm.sh` for npm and Deno dependencies to ensure compatibility on server and browser\n- **Storage Strategy:** Only use backend storage if explicitly required; prefer simple static client-side sites\n- **React Configuration:** When using React libraries, pin versions with `?deps=react@18.2.0,react-dom@18.2.0` and start the file with `/** @jsxImportSource https://esm.sh/react@18.2.0 */`\n- Ensure all React dependencies and sub-dependencies are pinned to the same version\n- **Styling:** Default to using TailwindCSS via `` unless otherwise specified\n\n## Project Structure and Design Patterns\n\n### Recommended Directory Structure\n```\n├── backend/\n│ ├── database/\n│ │ ├── migrations.ts # Schema definitions\n│ │ ├── queries.ts # DB query functions\n│ │ └── README.md\n│ └── routes/ # Route modules\n│ ├── [route].ts\n│ └── static.ts # Static file serving\n│ ├── index.ts # Main entry point\n│ └── README.md\n├── frontend/\n│ ├── components/\n│ │ ├── App.tsx\n│ │ └── [Component].tsx\n│ ├── favicon.svg\n│ ├── index.html # Main HTML template\n│ ├── index.tsx # Frontend JS entry point\n│ ├── README.md\n│ └── style.css\n├── README.md\n└── shared/\n ├── README.md\n └── utils.ts # Shared types and functions\n```\n\n### Backend (Hono) Best Practices\n\n- Hono is the recommended API framework\n- Main entry point should be `backend/index.ts`\n- **Static asset serving:** Use the utility functions to read and serve project files:\n ```ts\n import { readFile, serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\n \n // serve all files in frontend/ and shared/\n app.get(\"/frontend/*\", c => serveFile(c.req.path, import.meta.url));\n app.get(\"/shared/*\", c => serveFile(c.req.path, import.meta.url));\n \n // For index.html, often you'll want to bootstrap with initial data\n app.get(\"/\", async c => {\n let html = await readFile(\"/frontend/index.html\", import.meta.url);\n \n // Inject data to avoid extra round-trips\n const initialData = await fetchInitialData();\n const dataScript = ``;\n \n html = html.replace(\"\", `${dataScript}`);\n return c.html(html);\n });\n ```\n- Create RESTful API routes for CRUD operations\n- Always include this snippet at the top-level Hono app to re-throwing errors to see full stack traces:\n ```ts\n // Unwrap Hono errors to see original error details\n app.onError((err, c) => {\n throw err;\n });\n ```\n\n### Database Patterns\n- Run migrations on startup or comment out for performance\n- Change table names when modifying schemas rather than altering\n- Export clear query functions with proper TypeScript typing\n\n## Common Gotchas and Solutions\n\n1. **Environment Limitations:** \n - Val Town runs on Deno in a serverless context, not Node.js\n - Code in `shared/` must work in both frontend and backend environments\n - Cannot use `Deno` keyword in shared code\n - Use `https://esm.sh` for imports that work in both environments\n\n2. **SQLite Peculiarities:**\n - Limited support for ALTER TABLE operations\n - Create new tables with updated schemas and copy data when needed\n - Always run table creation before querying\n\n3. **React Configuration:**\n - All React dependencies must be pinned to 18.2.0\n - Always include `@jsxImportSource https://esm.sh/react@18.2.0` at the top of React files\n - Rendering issues often come from mismatched React versions\n\n4. **File Handling:**\n - Val Town only supports text files, not binary\n - Use the provided utilities to read files across branches and forks\n - For files in the project, use `readFile` helpers\n\n5. **API Design:**\n - `fetch` handler is the entry point for HTTP vals\n - Run the Hono app with `export default app.fetch // This is the entry point for HTTP 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var(--font-sans);\n color: var(--foreground);\n outline: none;\n resize: none;\n max-height: 120px;\n}\n\n.chat-input::placeholder {\n color: var(--muted-foreground);\n}\n\n.send-btn {\n width: 36px;\n height: 36px;\n border-radius: 50%;\n border: none;\n background-color: transparent;\n color: var(--muted-foreground);\n display: flex;\n align-items: center;\n justify-content: center;\n cursor: pointer;\n transition: all 0.2s;\n}\n\n.send-btn:not(:disabled) {\n background-color: var(--primary);\n color: white;\n}\n\n.send-btn:disabled {\n cursor: not-allowed;\n opacity: 0.5;\n}\n\n/* Chat Messages */\n.chat-row {\n display: flex;\n flex-direction: column;\n gap: 0.5rem;\n max-width: 100%;\n}\n\n.chat-row-user {\n align-items: flex-end;\n}\n\n.chat-role {\n font-size: 0.75rem;\n font-weight: 600;\n color: var(--muted-foreground);\n margin-left: 0.5rem;\n margin-bottom: 0.25rem;\n}\n\n.chat-bubble {\n padding: 1rem 1.5rem;\n border-radius: 1.5rem;\n background-color: white;\n color: var(--foreground);\n line-height: 1.6;\n box-shadow: 0 1px 2px oklch(0 0 0 / 0.05);\n max-width: 85%;\n}\n\n.chat-row-user .chat-bubble {\n background-color: var(--muted); /* Light grey for user */\n color: var(--foreground);\n border-bottom-right-radius: 0.25rem;\n}\n\n.chat-row:not(.chat-row-user) .chat-bubble {\n border-bottom-left-radius: 0.25rem;\n background-color: white;\n border: 1px solid var(--sidebar-border);\n box-shadow: 0 2px 4px oklch(0 0 0 / 0.02);\n}\n\n/* Loading & Error */\n.chat-loading {\n text-align: center;\n color: var(--muted-foreground);\n font-size: 0.875rem;\n padding: 1rem;\n}\n\n.chat-error {\n background-color: oklch(0.98 0.02 20);\n color: var(--destructive);\n padding: 1rem;\n border-radius: var(--radius-md);\n margin: 1rem 2rem;\n text-align: center;\n border: 1px solid oklch(0.9 0.05 20);\n}\n\n/* Prose */\n.prose {\n font-size: 1rem;\n}\n.prose p {\n margin-bottom: 0.75em;\n}\n.prose p:last-child {\n margin-bottom: 0;\n}\n.prose code {\n font-family: var(--font-mono);\n font-size: 0.9em;\n background: var(--muted);\n padding: 0.2em 0.4em;\n border-radius: 0.4em;\n}\n.prose pre {\n background: #1e1e1e;\n color: #d4d4d4;\n padding: 1rem;\n border-radius: 0.5rem;\n overflow-x: auto;\n margin: 0.5rem 0;\n}\n\n/* Infrastructure Badge */\n.infra-badge {\n display: flex;\n align-items: center;\n justify-content: center;\n gap: 0.4rem;\n padding: 0.4rem 1rem;\n background-color: oklch(0.97 0.03 145);\n color: oklch(0.35 0.12 145);\n font-size: 0.7rem;\n font-weight: 500;\n letter-spacing: 0.01em;\n border-bottom: 1px solid oklch(0.92 0.04 145);\n flex-shrink: 0;\n}\n\n.infra-badge svg {\n flex-shrink: 0;\n}\n\n/* Per-message Impact Badge */\n.impact-badge {\n margin-left: 0.5rem;\n max-width: 85%;\n}\n\n.impact-badge-main {\n display: inline-flex;\n align-items: center;\n gap: 0.35rem;\n padding: 0.25rem 0.65rem;\n border: none;\n background-color: oklch(0.97 0.02 145);\n color: oklch(0.4 0.1 145);\n font-size: 0.7rem;\n font-weight: 500;\n border-radius: var(--radius-full);\n cursor: pointer;\n transition: background-color 0.15s ease;\n}\n\n.impact-badge-main:hover {\n background-color: oklch(0.94 0.04 145);\n}\n\n.impact-badge-main svg {\n flex-shrink: 0;\n}\n\n/* Comparison dropdown */\n.impact-comparison {\n margin-top: 0.4rem;\n padding: 0.6rem 0.8rem;\n background-color: var(--card);\n border: 1px solid var(--sidebar-border);\n border-radius: var(--radius-md);\n font-size: 0.7rem;\n}\n\n.comparison-row {\n display: flex;\n justify-content: space-between;\n align-items: center;\n padding: 0.2rem 0;\n}\n\n.comparison-label {\n color: var(--muted-foreground);\n}\n\n.comparison-value {\n font-weight: 600;\n}\n\n.comparison-green {\n color: oklch(0.5 0.18 145);\n}\n\n.comparison-grey {\n color: var(--muted-foreground);\n}\n\n.comparison-savings {\n margin-top: 0.3rem;\n padding-top: 0.3rem;\n border-top: 1px solid var(--sidebar-border);\n color: oklch(0.5 0.18 145);\n font-weight: 600;\n text-align: center;\n}\n\n/* Read more link */\n.impact-read-more {\n display: block;\n margin-top: 0.4rem;\n font-size: 0.65rem;\n color: oklch(0.5 0.15 145);\n text-align: center;\n text-decoration: none;\n}\n\n.impact-read-more:hover {\n text-decoration: underline;\n color: oklch(0.4 0.18 145);\n}\n\n/* Session Footer */\n.chat-bottom-bar {\n position: absolute;\n bottom: 5.5rem;\n left: 50%;\n transform: translateX(-50%);\n width: 100%;\n max-width: 48rem;\n padding: 0 1rem;\n z-index: 9;\n display: flex;\n flex-direction: column;\n align-items: center;\n gap: 0.3rem;\n}\n\n.session-footer {\n display: flex;\n align-items: center;\n justify-content: center;\n gap: 0.35rem;\n padding: 0.35rem 0.75rem;\n background-color: oklch(0.97 0.02 145 / 0.9);\n backdrop-filter: blur(6px);\n color: oklch(0.4 0.1 145);\n font-size: 0.7rem;\n font-weight: 500;\n border-radius: var(--radius-full);\n border: 1px solid oklch(0.92 0.04 145);\n}\n\n.session-footer svg {\n flex-shrink: 0;\n}\n\n.session-equivalent {\n color: oklch(0.5 0.12 145);\n font-style: italic;\n}\n\n/* Carbon Receipt */\n.carbon-receipt {\n display: flex;\n flex-direction: column;\n align-items: center;\n}\n\n.receipt-toggle {\n border: none;\n background: none;\n color: var(--muted-foreground);\n font-size: 0.65rem;\n cursor: pointer;\n text-decoration: underline;\n text-underline-offset: 2px;\n padding: 0.15rem 0.5rem;\n transition: color 0.15s ease;\n}\n\n.receipt-toggle:hover {\n color: var(--foreground);\n}\n\n.receipt-card {\n margin-bottom: 0.4rem;\n padding: 1rem 1.25rem;\n background-color: var(--card);\n border: 1px solid var(--sidebar-border);\n border-radius: var(--radius-lg);\n box-shadow: 0 4px 12px oklch(0 0 0 / 0.06);\n width: 20rem;\n max-width: 100%;\n}\n\n.receipt-title {\n font-size: 0.8rem;\n font-weight: 700;\n color: var(--foreground);\n margin-bottom: 0.6rem;\n text-align: center;\n}\n\n.receipt-rows {\n display: flex;\n flex-direction: column;\n gap: 0.3rem;\n}\n\n.receipt-row {\n display: flex;\n justify-content: space-between;\n font-size: 0.72rem;\n padding: 0.15rem 0;\n border-bottom: 1px solid oklch(0.95 0 0);\n}\n\n.receipt-row span:first-child {\n color: var(--muted-foreground);\n}\n\n.receipt-row span:last-child {\n font-weight: 600;\n color: var(--foreground);\n}\n\n.receipt-equivalent {\n margin-top: 0.6rem;\n padding: 0.4rem 0.6rem;\n background-color: oklch(0.97 0.02 145);\n color: oklch(0.4 0.12 145);\n font-size: 0.7rem;\n font-weight: 500;\n text-align: center;\n border-radius: var(--radius-sm);\n}\n\n.receipt-share {\n margin-top: 0.5rem;\n font-size: 0.65rem;\n color: var(--muted-foreground);\n text-align: center;\n font-style: italic;\n line-height: 1.4;\n}\n",[],[198,305],"aa56f030-0cb6-11f1-8b14-42dde27851f2","index.tsx","019c7059-0ed3-724f-869d-645b09fef5a9",["D",1771411410564],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport { createRoot } from \"https://esm.sh/react-dom@18.2.0/client\";\nimport { App } from \"./components/App.tsx\";\n\nconst root = document.getElementById(\"root\");\nif (!root) {\n throw new Error(\"No root element found\");\n}\n\ncreateRoot(root).render();",[],[198,314],"0dcff062-0e5b-11f1-ad11-42dde27851f2","index.html","019c7059-0ed3-724f-869d-63b68cc06b7d",84,["D",1771591966166],5,"\n\n \n \n \n React Hono Val Town Starter\n \n \n \n \n \n \n \n

\n \n \n \n\n",[],[198,321],"aa56e6da-0cb6-11f1-8b14-42dde27851f2","favicon.svg","019c7059-0ed3-724f-869d-5ce97042364a",["D",1771411410564],"\n",[],[198,330],"d4324b1c-0e68-11f1-b85e-42dde27851f2","App.tsx","019c7059-0ed3-724f-869d-558a3819401a","019c7059-0ed3-724f-869d-5b56e15573c6",94,["D",1771597882450],26,"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport {\n FormEvent,\n KeyboardEvent,\n useEffect,\n useMemo,\n useRef,\n useState,\n} from \"https://esm.sh/react@18.2.0\";\nimport { Streamdown } from \"https://esm.sh/streamdown?deps=react@18.2.0\";\nimport { STARTER_PROMPTS } from \"../../data/prompts.ts\";\n\n// Icons\nconst LogoIcon = () => (\n \n \n \n \n);\n\nconst EditIcon = () => (\n \n \n \n \n);\n\nconst SearchIcon = () => (\n \n \n \n \n);\n\nconst GridIcon = () => (\n \n \n \n \n \n \n);\n\nconst SunIcon = () => (\n \n \n \n \n \n \n \n \n \n \n \n);\n\nconst LogOutIcon = () => (\n \n \n \n \n \n);\n\nconst PlusIcon = () => (\n \n \n \n \n);\n\nconst MicIcon = () => (\n \n \n \n \n \n \n);\n\nconst SendIcon = () => (\n \n \n \n \n);\n\nconst SparklesIcon = () => (\n \n \n \n);\n\nconst LeafIcon = () => (\n \n \n \n \n);\n\n// Types\ntype ChatRole = \"user\" | \"assistant\";\n\ninterface ImpactData {\n version?: string;\n inferenceTime?: { total: number; unit: string };\n energy?: { total: number; unit: string };\n emissions?: { total: number; unit: string };\n}\n\ninterface ChatMessage {\n role: ChatRole;\n content: string;\n impact?: ImpactData;\n}\n\ninterface ChatDoneEvent {\n assistantMessage: string;\n messages: Array<{ role: ChatRole; content: string }>;\n sessionId: string;\n impact?: ImpactData;\n}\n\ninterface ChatChunkEvent {\n delta: string;\n assistantMessage: string;\n}\n\ninterface ChatErrorEvent {\n error: string;\n}\n\ninterface SessionImpact {\n totalEmissionsUg: number;\n totalEnergyWms: number;\n totalTimeMs: number;\n messageCount: number;\n}\n\n// Helpers\nfunction formatEmissions(ug: number): string {\n if (ug < 1000) return `${Math.round(ug)} \\u00b5g CO\\u2082e`;\n const mg = ug / 1000;\n if (mg < 1000) return `${mg.toFixed(1)} mg CO\\u2082e`;\n return `${(mg / 1000).toFixed(2)} g CO\\u2082e`;\n}\n\nfunction formatEnergy(wms: number): string {\n const wh = wms / 3_600_000;\n if (wh < 0.01) return `${(wh * 1000).toFixed(1)} mWh`;\n return `${wh.toFixed(2)} Wh`;\n}\n\nfunction formatTime(ms: number): string {\n if (ms < 1000) return `${Math.round(ms)} ms`;\n return `${(ms / 1000).toFixed(1)}s`;\n}\n\nfunction getRelatableEquivalent(totalUg: number): string {\n if (totalUg < 100) return \"Less CO\\u2082 than a single breath\";\n if (totalUg < 1000) return \"Less than 1 second of a light bulb\";\n if (totalUg < 10_000) return \"Equivalent to walking 1 cm\";\n if (totalUg < 100_000) return \"Less than 1 second of watching TV\";\n return \"Less than a minute of a light bulb\";\n}\n\nfunction getConventionalEstimate(ug: number): number {\n // GreenPT claims 40% lower CO2, so conventional = greenpt / 0.6\n return Math.round(ug / 0.6);\n}\n\nfunction parseSSEBuffer(buffer: string): {\n parsed: Array<{ type: string; data: string }>;\n remaining: string;\n} {\n const events: Array<{ type: string; data: string }> = [];\n const parts = buffer.split(\"\\n\\n\");\n\n for (let i = 0; i < parts.length - 1; i++) {\n const lines = parts[i].split(\"\\n\");\n let eventType = \"message\";\n let data = \"\";\n for (const line of lines) {\n if (line.startsWith(\"event: \")) {\n eventType = line.slice(7).trim();\n } else if (line.startsWith(\"data: \")) {\n data = line.slice(6);\n }\n }\n events.push({ type: eventType, data });\n }\n\n return { parsed: events, remaining: parts[parts.length - 1] };\n}\n\n// Components\nfunction ImpactBadge({ impact }: { impact: ImpactData }) {\n const [showComparison, setShowComparison] = useState(false);\n const emissionsUg = impact.emissions?.total ?? 0;\n const energyWms = impact.energy?.total ?? 0;\n const timeMs = impact.inferenceTime?.total ?? 0;\n const conventional = getConventionalEstimate(emissionsUg);\n\n return (\n

\n setShowComparison(!showComparison)}\n title=\"Powered by 100% renewable energy. Click for comparison.\"\n >\n \n \n {formatEmissions(emissionsUg)} · {formatEnergy(energyWms)} · {formatTime(timeMs)}\n \n \n {showComparison && (\n

\n GreenPT (renewable)\n {formatEmissions(emissionsUg)}\n

\n Conventional estimate\n ~{formatEmissions(conventional)}\n

\n {Math.round(((conventional - emissionsUg) / conventional) * 100)}% less CO{\"\\u2082\"} with GreenPT\n

\n \n Read more about our calculations\n \n

\n )}\n

\n );\n}\n\nfunction SessionFooter({ session }: { session: SessionImpact }) {\n if (session.messageCount === 0) return null;\n\n return (\n

\n \n \n Session: {session.messageCount} {session.messageCount === 1 ? \"message\" : \"messages\"} · {formatEmissions(session.totalEmissionsUg)} · {formatEnergy(session.totalEnergyWms)} total\n \n \n — {getRelatableEquivalent(session.totalEmissionsUg)}\n \n

\n );\n}\n\nfunction CarbonReceipt({ session }: { session: SessionImpact }) {\n const [expanded, setExpanded] = useState(false);\n\n if (session.messageCount === 0) return null;\n\n return (\n

\n {expanded && (\n

Carbon Receipt

\n Messages\n {session.messageCount}\n

\n Total CO{\"\\u2082\"}\n {formatEmissions(session.totalEmissionsUg)}\n

\n Total energy\n {formatEnergy(session.totalEnergyWms)}\n

\n Total inference time\n {formatTime(session.totalTimeMs)}\n

\n Conventional estimate\n ~{formatEmissions(getConventionalEstimate(session.totalEmissionsUg))}\n

\n {getRelatableEquivalent(session.totalEmissionsUg)}\n

\n My AI conversation used only {formatEmissions(session.totalEmissionsUg)} — powered by GreenPT\n

\n \n Read more about our calculations\n \n

\n )}\n setExpanded(!expanded)}\n >\n {expanded ? \"Hide\" : \"View\"} impact summary\n \n

\n );\n}\n\nfunction InfrastructureBadge() {\n return (\n

\n \n Hosted on 100% renewable energy · Scaleway, Paris · EU data residency\n

\n );\n}\n\nexport function App() {\n const [messages, setMessages] = useState([]);\n const [input, setInput] = useState(\"\");\n const [isLoading, setIsLoading] = useState(false);\n const [sessionId, setSessionId] = useState(null);\n const [errorMessage, setErrorMessage] = useState(null);\n const [sessionImpact, setSessionImpact] = useState({\n totalEmissionsUg: 0,\n totalEnergyWms: 0,\n totalTimeMs: 0,\n messageCount: 0,\n });\n const messagesContainerRef = useRef(null);\n const hasStartedChat = messages.length > 0;\n\n const canSend = useMemo(\n () => input.trim().length > 0 && !isLoading,\n [input, isLoading],\n );\n\n useEffect(() => {\n if (messagesContainerRef.current) {\n messagesContainerRef.current.scrollTop =\n messagesContainerRef.current.scrollHeight;\n }\n }, [messages, isLoading]);\n\n async function sendMessage(nextMessage: string) {\n const trimmedInput = nextMessage.trim();\n if (!trimmedInput || isLoading) {\n return;\n }\n\n const nextMessages: ChatMessage[] = [\n ...messages,\n { role: \"user\", content: trimmedInput },\n ];\n setMessages(nextMessages);\n setInput(\"\");\n setIsLoading(true);\n setErrorMessage(null);\n\n try {\n const response = await fetch(\"/api/chat\", {\n method: \"POST\",\n headers: {\n \"content-type\": \"application/json\",\n },\n body: JSON.stringify({\n sessionId,\n messages: nextMessages.map(({ role, content }) => ({ role, content })),\n }),\n });\n\n if (!response.ok) {\n const errorBody = (await response.json()) as { error?: string };\n throw new Error(errorBody.error ?? \"Failed to send chat message\");\n }\n\n setMessages([...nextMessages, { role: \"assistant\", content: \"\" }]);\n\n const reader = response.body!.getReader();\n const decoder = new TextDecoder();\n let buffer = \"\";\n\n while (true) {\n const { done, value } = await reader.read();\n if (done) break;\n\n buffer += decoder.decode(value, { stream: true });\n const { parsed, remaining } = parseSSEBuffer(buffer);\n buffer = remaining;\n\n for (const event of parsed) {\n if (event.type === \"chunk\") {\n const data = JSON.parse(event.data) as ChatChunkEvent;\n setMessages([\n ...nextMessages,\n { role: \"assistant\", content: data.assistantMessage },\n ]);\n } else if (event.type === \"done\") {\n const data = JSON.parse(event.data) as ChatDoneEvent;\n setSessionId(data.sessionId);\n\n // Build messages with impact on the last assistant message\n const updatedMessages: ChatMessage[] = data.messages.map(\n (msg, i) => {\n if (\n data.impact &&\n msg.role === \"assistant\" &&\n i === data.messages.length - 1\n ) {\n return { ...msg, impact: data.impact };\n }\n return msg;\n },\n );\n\n // Preserve impact from prior messages\n const finalMessages = updatedMessages.map((msg, i) => {\n const prev = nextMessages[i];\n if (prev?.impact && !msg.impact) {\n return { ...msg, impact: prev.impact };\n }\n return msg;\n });\n\n setMessages(finalMessages);\n\n // Update session totals\n if (data.impact) {\n setSessionImpact((prev) => ({\n totalEmissionsUg:\n prev.totalEmissionsUg + (data.impact!.emissions?.total ?? 0),\n totalEnergyWms:\n prev.totalEnergyWms + (data.impact!.energy?.total ?? 0),\n totalTimeMs:\n prev.totalTimeMs +\n (data.impact!.inferenceTime?.total ?? 0),\n messageCount: prev.messageCount + 1,\n }));\n }\n } else if (event.type === \"error\") {\n const data = JSON.parse(event.data) as ChatErrorEvent;\n throw new Error(data.error);\n }\n }\n }\n } catch (error) {\n const message =\n error instanceof Error ? error.message : \"Failed to send chat message\";\n setErrorMessage(message);\n } finally {\n setIsLoading(false);\n }\n }\n\n function onSubmit(event: FormEvent) {\n event.preventDefault();\n sendMessage(input);\n }\n\n function onKeyDown(event: KeyboardEvent) {\n if (event.key === \"Enter\" && !event.shiftKey && canSend) {\n event.preventDefault();\n sendMessage(input);\n }\n }\n\n return (\n

\n \n \n {!hasStartedChat && (\n

\n \n

Ask your local AI

\n Start a conversation with our eco-friendly AI assistant.\n
\n Ask questions, get help, or just chat!\n

\n\n

\n \n Try Asking\n

\n\n

\n {STARTER_PROMPTS.map((prompt) => (\n sendMessage(prompt)}\n disabled={isLoading}\n >\n {prompt}\n \n ))}\n

\n )}\n\n {messages.map((message, index) => {\n const isStreamingMsg =\n isLoading &&\n message.role === \"assistant\" &&\n index === messages.length - 1;\n\n return (\n \n

\n {message.role === \"assistant\" ? \"AI Assistant\" : \"You\"}\n

\n \n \n {message.content}\n \n

\n {message.role === \"assistant\" && message.impact && (\n \n )}\n \n );\n })}\n\n {isLoading && (\n

Assistant is typing...

\n )}\n {errorMessage &&

{errorMessage}

}\n \n\n {hasStartedChat && (\n

\n \n \n

\n )}\n\n \n \n );\n}\n",[],[198,346,337],"components","aa56e478-0cb6-11f1-8b14-42dde27851f2",["D",1771411410564],[256],[198,346],["D",1771411410564],[255,257,258,259,260],[198],"c103f1c4-0e5b-11f1-aa50-42dde27851f2","prompts.ts","24a3046a-0d79-11f1-a265-42dde27851f2",87,["D",1771592266777],"export const STARTER_PROMPTS = [\n \"How does GreenPT reduce the environmental impact of AI?\",\n \"Are the chats I'm having with my private?\",\n \"What is the environment impact of AI?\",\n \"I want to use AI to have more time for my life. Is there an alternative?\",\n];\n",[],[203,355],"8ed00088-0d7c-11f1-9014-42dde27851f2","2472dac4-0d79-11f1-93af-42dde27851f2",33,["D",1771496404816],"# Data Configuration\n\n## Starter Prompts\n\nThe starter prompts displayed to the user before a chat begins are configured in `prompts.ts`.\n\nTo update the prompts:\n1. Open `data/prompts.ts`.\n2. Modify the `STARTER_PROMPTS` array.\n3. Add, remove, or edit the strings as needed.\n\nExample:\n```typescript\nexport const STARTER_PROMPTS = [\n \"New prompt 1\",\n \"New prompt 2\",\n];\n```\n\n## Assistant System Prompt\n\nThe backend assistant system prompt is managed in Langfuse Prompt Management.\n\n- Prompt name is configured with `LANGFUSE_SYSTEM_PROMPT_NAME`.\n- Optionally fetch by label with `LANGFUSE_SYSTEM_PROMPT_LABEL`.\n- Optionally pin a specific version via `LANGFUSE_SYSTEM_PROMPT_VERSION`.\n- If Langfuse prompt retrieval fails, the backend falls back to a local default system prompt so chat still works.\n",[],[203,166],["D",1771494937646],[252,253],[203],"0a90ffd0-0e66-11f1-8919-42dde27851f2","langgraph.ts","906ab7a0-0cb7-11f1-908d-42dde27851f2",90,["D",1771596685182],12,"import OpenAI from \"npm:openai\";\nimport { Langfuse } from \"npm:langfuse\";\n\nexport type ChatRole = \"user\" | \"assistant\";\n\nexport interface ChatMessage {\n role: ChatRole;\n content: string;\n}\n\ntype StreamChunkHandler = (chunk: string) => void | Promise;\n\nconst OPENAI_MODEL = Deno.env.get(\"OPENAI_MODEL\") ?? \"gpt-4o-mini\";\nconst OPENAI_BASE_URL = Deno.env.get(\"OPENAI_BASE_URL\");\nconst FALLBACK_SYSTEM_PROMPT =\n \"You are a clear, practical assistant that helps users make informed choices about AI usage, privacy, and environmental impact. Be concise, factual, and transparent about uncertainty.\";\n\nfunction requireEnv(name: string): string {\n const value = Deno.env.get(name);\n if (!value) {\n throw new Error(`Missing required environment variable: ${name}`);\n }\n return value;\n}\n\nfunction getLangfuseCredentials() {\n return {\n publicKey: requireEnv(\"LANGFUSE_PUBLIC_KEY\"),\n secretKey: requireEnv(\"LANGFUSE_SECRET_KEY\"),\n baseUrl: Deno.env.get(\"LANGFUSE_BASE_URL\") ?? \"https://langfuse.greenpt.ai\",\n };\n}\n\ninterface ResolvedSystemPrompt {\n content: string;\n source: \"langfuse\" | \"fallback\";\n}\n\nfunction parsePromptVersion(value: string | undefined): number | undefined {\n if (!value) return undefined;\n const parsed = Number.parseInt(value, 10);\n return Number.isFinite(parsed) ? parsed : undefined;\n}\n\nfunction extractPromptContent(prompt: unknown): string {\n if (typeof prompt === \"string\") return prompt;\n if (!prompt || typeof prompt !== \"object\") return \"\";\n\n const candidate = prompt as Record;\n\n if (typeof candidate.prompt === \"string\") return candidate.prompt;\n if (typeof candidate.content === \"string\") return candidate.content;\n if (typeof candidate.text === \"string\") return candidate.text;\n if (Array.isArray(candidate.prompt)) {\n return candidate.prompt\n .filter((item) => item && typeof item === \"object\")\n .map((item) => item as Record)\n .filter((item) => item.role === \"system\" && typeof item.content === \"string\")\n .map((item) => item.content as string)\n .join(\"\\n\")\n .trim();\n }\n\n return \"\";\n}\n\nasync function resolveSystemPrompt(langfuse: Langfuse): Promise {\n const promptName = Deno.env.get(\"LANGFUSE_SYSTEM_PROMPT_NAME\");\n if (!promptName) {\n return { content: FALLBACK_SYSTEM_PROMPT, source: \"fallback\" };\n }\n\n const promptLabel = Deno.env.get(\"LANGFUSE_SYSTEM_PROMPT_LABEL\");\n const configuredVersion = parsePromptVersion(Deno.env.get(\"LANGFUSE_SYSTEM_PROMPT_VERSION\"));\n\n try {\n const prompt =\n configuredVersion !== undefined\n ? await langfuse.getPrompt(promptName, configuredVersion)\n : promptLabel\n ? await langfuse.getPrompt(promptName, undefined, { label: promptLabel })\n : await langfuse.getPrompt(promptName);\n\n const content = extractPromptContent(prompt).trim();\n if (content.length > 0) {\n return { content, source: \"langfuse\" };\n }\n } catch {\n // Fallback below when prompt retrieval is unavailable.\n }\n\n return { content: FALLBACK_SYSTEM_PROMPT, source: \"fallback\" };\n}\n\nexport interface ImpactData {\n version?: string;\n inferenceTime?: { total: number; unit: string };\n energy?: { total: number; unit: string };\n emissions?: { total: number; unit: string };\n}\n\nexport interface ChatResult {\n assistantMessage: string;\n messages: ChatMessage[];\n impact?: ImpactData;\n}\n\nexport async function runChatGraphStream(\n messages: ChatMessage[],\n sessionId: string,\n onChunk?: StreamChunkHandler,\n): Promise {\n const langfuse = new Langfuse(getLangfuseCredentials());\n const resolvedSystemPrompt = await resolveSystemPrompt(langfuse);\n console.log(`[system-prompt] source=${resolvedSystemPrompt.source}, length=${resolvedSystemPrompt.content.length}`);\n\n const trace = langfuse.trace({\n sessionId,\n metadata: {\n runtime: \"val-town\",\n promptSource: resolvedSystemPrompt.source,\n },\n });\n\n const apiMessages: OpenAI.ChatCompletionMessageParam[] = [\n { role: \"system\", content: resolvedSystemPrompt.content },\n ...messages.map((m) => ({\n role: m.role as \"user\" | \"assistant\",\n content: m.content,\n })),\n ];\n\n const generation = trace.generation({\n name: \"chat\",\n model: OPENAI_MODEL,\n input: apiMessages,\n });\n\n const client = new OpenAI({\n apiKey: requireEnv(\"OPENAI_API_KEY\"),\n baseURL: OPENAI_BASE_URL || undefined,\n });\n\n const stream = await client.chat.completions.create({\n model: OPENAI_MODEL,\n messages: apiMessages,\n stream: true,\n });\n\n let assistantMessage = \"\";\n let impact: ImpactData | undefined;\n\n for await (const chunk of stream) {\n const delta = chunk.choices?.[0]?.delta?.content ?? \"\";\n if (delta) {\n assistantMessage += delta;\n if (onChunk) {\n await onChunk(delta);\n }\n }\n\n // Extract impact from raw chunk — GreenPT adds it at the top level of the response\n const rawImpact = (chunk as Record).impact;\n if (rawImpact && typeof rawImpact === \"object\") {\n impact = rawImpact as ImpactData;\n }\n }\n\n if (!assistantMessage.trim()) {\n throw new Error(\"API response did not include assistant text output\");\n }\n\n generation.end({\n output: assistantMessage,\n });\n await langfuse.flushAsync();\n\n return {\n assistantMessage,\n messages: [...messages, { role: \"assistant\", content: assistantMessage }],\n impact,\n };\n}\n",[],[209,373],"2ef967e2-0e69-11f1-a786-42dde27851f2",["D",1771598034757],[],[209,32],["D",1771411796427],[249,250],[209],"8ea42c6a-0d7c-11f1-85b2-42dde27851f2",".gitkeep","8ea42d3c-0d7c-11f1-85b2-42dde27851f2",28,["D",1771496404535],"\n",[],[215,389],["D",1771496404338],[247],[215],["D",1771597882207],[],[221],"df44b9b8-0e59-11f1-bbbb-42dde27851f2","settings.local.json","0e28cc12-0e53-11f1-8dba-42dde27851f2",81,["D",1771591458581],"{\n \"permissions\": {\n \"allow\": [\n \"WebSearch\",\n \"WebFetch(domain:greenpt.com)\"\n ]\n }\n}\n",[],[227,403],["D",1771588530588],[244],[227],["D",1771411410564],{"_94":93,"_102":98},{"_94":93,"_95":96,"_97":98,"_18":-5,"_99":100,"_101":24},{"_13":83,"_31":84,"_41":40,"_85":42,"_86":-5,"_87":-5,"_88":-5,"_89":-5,"_90":-5,"_91":43,"_92":93},"ctx",{"_76":-5,"_122":450,"_451":452,"_453":454,"_455":24,"_456":24,"_457":24,"_458":120,"_459":-5,"_460":-7,"_461":-7,"_462":60,"_463":24,"_464":24,"_465":-5,"_466":24,"_467":24,"_468":24,"_469":-5},"ENV",{"_421":422,"_423":424,"_425":84,"_426":427,"_428":429,"_430":431,"_432":433,"_434":435,"_436":437,"_438":439,"_440":441,"_442":443,"_444":445,"_446":447,"_448":449},"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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