[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_379":380,"_381":382},"routes/_app.x.$handle.$name",{"_97":96,"_32":46,"_106":87,"_27":101,"_13":14,"_107":-5,"_11":108,"_109":110,"_111":112,"_113":114,"_115":116,"_20":-5,"_117":-5,"_118":-5,"_119":25,"_120":121,"_122":123,"_124":-5,"_125":-5,"_126":127},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_44":45,"_32":46,"_39":47,"_48":-5,"_49":25,"_50":51,"_52":51,"_53":54,"_55":-5,"_18":56,"_57":58,"_59":25,"_60":-5,"_61":-5,"_62":63,"_64":65,"_66":-5,"_67":-5,"_68":-5,"_69":-5,"_70":71,"_72":71,"_73":74,"_75":74,"_76":74,"_77":71,"_78":71,"_79":80,"_81":82,"_83":84,"_85":25},"version",60,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":33,"_34":35,"_36":38,"_39":40,"_41":14,"_42":43,"_24":25},"previous",{"_30":31,"_32":33,"_34":35,"_36":37},"deleted",false,"deletedHere","path","backend/langgraph.ts","latestPath","fileId","906ab7a0-0cb7-11f1-908d-42dde27851f2","name","langgraph.ts","fileType","script","content","import { ChatOpenAI } from \"npm:@langchain/openai\";\nimport { AIMessage, HumanMessage, SystemMessage } from \"npm:@langchain/core/messages\";\nimport { CallbackHandler } from \"npm:@langfuse/langchain\";\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://cloud.langfuse.com\",\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(): 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 langfuse = new Langfuse(getLangfuseCredentials());\n const prompt =\n configuredVersion !== undefined\n ? await langfuse.getPrompt(promptName, { version: configuredVersion })\n : promptLabel\n ? await langfuse.getPrompt(promptName, { 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\nfunction toLangChainMessages(\n messages: ChatMessage[],\n systemPrompt: string,\n) {\n return [\n new SystemMessage(systemPrompt),\n ...messages.map((m) =>\n m.role === \"user\" ? new HumanMessage(m.content) : new AIMessage(m.content)\n ),\n ];\n}\n\nexport interface ChatResult {\n assistantMessage: string;\n messages: ChatMessage[];\n}\n\nexport async function runChatGraphStream(\n messages: ChatMessage[],\n sessionId: string,\n onChunk?: StreamChunkHandler,\n): Promise {\n const resolvedSystemPrompt = await resolveSystemPrompt();\n\n const langfuseHandler = new CallbackHandler({\n ...getLangfuseCredentials(),\n sessionId,\n metadata: {\n runtime: \"val-town\",\n promptSource: resolvedSystemPrompt.source,\n },\n });\n\n const model = new ChatOpenAI({\n model: OPENAI_MODEL,\n openAIApiKey: requireEnv(\"OPENAI_API_KEY\"),\n configuration: {\n baseURL: OPENAI_BASE_URL || undefined,\n },\n streaming: true,\n });\n\n const lcMessages = toLangChainMessages(messages, resolvedSystemPrompt.content);\n\n const stream = await model.stream(lcMessages, { callbacks: [langfuseHandler] });\n let assistantMessage = \"\";\n\n for await (const chunk of stream) {\n const delta = typeof chunk.content === \"string\" ? chunk.content : \"\";\n if (delta) {\n assistantMessage += delta;\n if (onChunk) {\n await onChunk(delta);\n }\n }\n }\n\n if (!assistantMessage.trim()) {\n throw new Error(\"OpenAI response did not include assistant text output\");\n }\n\n await langfuseHandler.flushAsync();\n\n return {\n assistantMessage,\n messages: [...messages, { role: \"assistant\", content: assistantMessage }],\n };\n}\n","import { ChatOpenAI } from \"npm:@langchain/openai\";\nimport { AIMessage, HumanMessage, SystemMessage } from \"npm:@langchain/core/messages\";\nimport { CallbackHandler } from \"npm:@langfuse/langchain\";\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(): 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 langfuse = new Langfuse(getLangfuseCredentials());\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\nfunction toLangChainMessages(\n messages: ChatMessage[],\n systemPrompt: string,\n) {\n return [\n new SystemMessage(systemPrompt),\n ...messages.map((m) =>\n m.role === \"user\" ? new HumanMessage(m.content) : new AIMessage(m.content)\n ),\n ];\n}\n\nexport interface ChatResult {\n assistantMessage: string;\n messages: ChatMessage[];\n}\n\nexport async function runChatGraphStream(\n messages: ChatMessage[],\n sessionId: string,\n onChunk?: StreamChunkHandler,\n): Promise {\n const resolvedSystemPrompt = await resolveSystemPrompt();\n\n const langfuseHandler = new CallbackHandler({\n ...getLangfuseCredentials(),\n sessionId,\n metadata: {\n runtime: \"val-town\",\n promptSource: resolvedSystemPrompt.source,\n },\n });\n\n const model = new ChatOpenAI({\n model: OPENAI_MODEL,\n openAIApiKey: requireEnv(\"OPENAI_API_KEY\"),\n configuration: {\n baseURL: OPENAI_BASE_URL || undefined,\n },\n streaming: true,\n });\n\n const lcMessages = toLangChainMessages(messages, resolvedSystemPrompt.content);\n\n const stream = await model.stream(lcMessages, { callbacks: [langfuseHandler] });\n let assistantMessage = \"\";\n\n for await (const chunk of stream) {\n const delta = typeof chunk.content === \"string\" ? chunk.content : \"\";\n if (delta) {\n assistantMessage += delta;\n if (onChunk) {\n await onChunk(delta);\n }\n }\n }\n\n if (!assistantMessage.trim()) {\n throw new Error(\"OpenAI response did not include assistant text output\");\n }\n\n await langfuseHandler.langfuse.flushAsync();\n\n return {\n assistantMessage,\n messages: [...messages, { role: \"assistant\", content: assistantMessage }],\n };\n}\n","createdAt",["D",1771506795231],"branchVersion","branchId","aa53671c-0cb6-11f1-8b14-42dde27851f2","id","aa4ea4f2-0cb6-11f1-8b14-42dde27851f2","office-window",["D",1771411410564],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Starter template with client-side React & Hono 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\"name\": \"office-window\",\n \"version\": \"1.0.0\",\n \"description\": \"This app is a starter template for client-side React and server-side Hono.\",\n \"main\": \"index.js\",\n \"scripts\": {\n \"test\": \"echo \\\"Error: no test specified\\\" && exit 1\"\n },\n \"keywords\": [],\n \"author\": \"\",\n \"license\": \"ISC\",\n \"type\": \"commonjs\"\n}\n","label",[141],"f996965e-0d7f-11f1-ba2e-42dde27851f2","index.ts",52,["D",1771497872255],5,"http","import { serveFile } from \"https://esm.town/v/std/utils/index.ts\";\nimport { Hono } from \"npm:hono\";\nimport { runChatGraphStream, type ChatMessage } from \"./backend/langgraph.ts\";\n\nconst app = new Hono();\n\n// Serve index.html at the root /\napp.get(\"/\", () => serveFile(\"/frontend/index.html\"));\n\n// Serve all /frontend files\napp.get(\"/frontend/**/*\", (c) => serveFile(c.req.path));\n// Serve prompt/data config modules used by frontend imports\napp.get(\"/data/**/*\", (c) => serveFile(c.req.path));\n// Serve static assets (logos, icons, images)\napp.get(\"/assets/**/*\", (c) => serveFile(c.req.path));\n\nfunction isValidRole(role: unknown): role is ChatMessage[\"role\"] {\n return role === \"user\" || role === \"assistant\";\n}\n\nfunction isValidMessage(value: unknown): value is ChatMessage {\n if (!value || typeof value !== \"object\") {\n return false;\n }\n\n const candidate = value as Record;\n return (\n isValidRole(candidate.role) &&\n typeof candidate.content === \"string\" &&\n candidate.content.trim().length > 0\n );\n}\n\napp.post(\"/api/chat\", async (c) => {\n const payload = await c.req.json();\n const payloadRecord = payload as Record;\n const rawMessages = payloadRecord.messages;\n const sessionId =\n typeof payloadRecord.sessionId === \"string\" &&\n payloadRecord.sessionId.trim().length > 0\n ? payloadRecord.sessionId\n : crypto.randomUUID();\n\n if (!Array.isArray(rawMessages)) {\n return c.json({ error: \"`messages` must be an array\" }, 400);\n }\n\n if (!rawMessages.every(isValidMessage)) {\n return c.json(\n { error: \"Each message must include a valid role and non-empty content\" },\n 400,\n );\n }\n\n const messages = rawMessages as ChatMessage[];\n const encoder = new TextEncoder();\n const toSseEvent = (event: string, data: unknown): Uint8Array =>\n encoder.encode(`event: ${event}\\ndata: ${JSON.stringify(data)}\\n\\n`);\n\n const stream = new ReadableStream({\n start(controller) {\n void (async () => {\n try {\n let streamedAssistantMessage = \"\";\n const graphResult = await runChatGraphStream(\n messages,\n sessionId,\n (chunk) => {\n streamedAssistantMessage += chunk;\n controller.enqueue(\n toSseEvent(\"chunk\", {\n delta: chunk,\n assistantMessage: streamedAssistantMessage,\n }),\n );\n },\n );\n\n controller.enqueue(\n toSseEvent(\"done\", {\n assistantMessage: graphResult.assistantMessage,\n messages: graphResult.messages,\n sessionId,\n }),\n );\n controller.close();\n } catch (error) {\n const message =\n error instanceof Error\n ? error.message\n : \"Failed to send chat message\";\n controller.enqueue(toSseEvent(\"error\", { error: message }));\n controller.close();\n }\n })();\n },\n });\n\n return new Response(stream, {\n headers: {\n \"content-type\": \"text/event-stream\",\n \"cache-control\": \"no-cache\",\n connection: \"keep-alive\",\n },\n });\n});\n\n// Unwrap and rethrow Hono errors as the original error\n// If you delete this, all errors will be \"Internal Server Error\"\napp.onError((err) => Promise.reject(err));\n\n// HTTP vals expect an exported \"fetch handler\"\n// This is how you \"run the server\" in Val Town with Hono\nexport default app.fetch;\n",[151],"90664210-0cb7-11f1-ac61-42dde27851f2","deno.json","906642c4-0cb7-11f1-ac61-42dde27851f2",3,["D",1771411796628],"{\n \"$schema\": \"https://raw.githubusercontent.com/denoland/deno/98f62cee78e85bfc47c62ed703777c6bc8794f1c/cli/schemas/config-file.v1.json\",\n \"lock\": false,\n \"compilerOptions\": {\n \"noImplicitAny\": false,\n \"strict\": true,\n \"types\": [\"https://www.val.town/types/valtown.d.ts\"],\n \"lib\": [\n \"dom\",\n \"dom.iterable\",\n \"dom.asynciterable\",\n \"deno.ns\",\n \"deno.unstable\"\n ]\n },\n \"lint\": {\n \"include\": [\"deno:/https/esm.town/**/*\"],\n \"rules\": {\n \"exclude\": [\"no-explicit-any\"]\n }\n },\n \"node_modules_dir\": false,\n \"experimental\": {\n \"unstable-node-globals\": true,\n \"unstable-temporal\": true,\n \"unstable-worker-options\": true,\n \"unstable-sloppy-imports\": true\n }\n}",[159],"aa56fcf6-0cb6-11f1-8b14-42dde27851f2","README.md","019c7059-0ed3-724f-869d-71f2afadb572",1,["D",1771411410564],"# React Hono Starter\n\nThis app is a starter template for client-side React and server-side Hono.\n\n## Getting started\n\nGet a copy of this starter template by clicking the **Remix** button in the\ntop-right.\n\n## How it works\n\n- The **entrypoint** is [`index.ts`](index.ts). That's the backend HTTP server,\n which also serves the all the frontend assets.\n\n- The **client-side entrypoint** is\n [`/frontend/index.html`](/frontend/index.html)\n - which in turn imports [`/frontend/index.tsx`](/frontend/index.tsx)\n - which in turn imports the React app from\n [`/frontend/components/App.tsx`](/frontend/components/App.tsx).\n\nSo if you wanted to get a sense of how this app comes together, we suggest\nreading the files in this order:\n\n[`index.ts`](index.ts) -> [`/frontend/index.html`](/frontend/index.html) ->\n[`/frontend/index.tsx`](/frontend/index.tsx) ->\n[`/frontend/components/App.tsx`](/frontend/components/App.tsx)\n\n## Further resources\n\n- [React Hono Example](https://www.val.town/x/stevekrouse/reactHonoExample) is a\n bigger example project, with a SQLite database table, queries, client-side\n CSS, a favicon, and shared code that runs on both client and server.",[166],"908d00bc-0cb7-11f1-8d87-42dde27851f2","AGENTS.md","908d018e-0cb7-11f1-8d87-42dde27851f2",7,["D",1771411796883],"You are an advanced assistant specialized in generating Val Town code.\n\n## Core Guidelines\n\n- Ask clarifying questions when requirements are ambiguous\n- Provide complete, functional solutions rather than skeleton implementations\n- Test your logic against edge cases before presenting the final solution\n- Ensure all code follows Val Town's specific platform requirements\n- If a section of code that you're working on is getting too complex, consider refactoring it into subcomponents\n\n## Code Standards\n\n- Generate code in TypeScript or TSX\n- Add appropriate TypeScript types and interfaces for all data structures\n- Prefer official SDKs or libraries than writing API calls directly\n- Ask the user to supply API or library documentation if you are at all unsure about it\n- **Never bake in secrets into the code** - always use environment variables\n- Include comments explaining complex logic (avoid commenting obvious operations)\n- Follow modern ES6+ conventions and functional programming practices if possible\n\n## Types of triggers\n\n### 1. HTTP Trigger\n\n- Create web APIs and endpoints\n- Handle HTTP requests and responses\n- Example structure:\n\n```ts\nexport default async function (req: Request) {\n return new Response(\"Hello World\");\n}\n```\n\nFiles that are HTTP triggers have http in their name like `foobar.http.tsx`\n\n### 2. Cron Triggers\n\n- Run on a schedule\n- Use cron expressions for timing\n- Example structure:\n\n```ts\nexport default async function () {\n // Scheduled task code\n}\n```\n\nFiles that are Cron triggers have cron in their name like `foobar.cron.tsx`\n\n### 3. Email Triggers\n\n- Process incoming emails\n- Handle email-based workflows\n- Example structure:\n\n```ts\nexport default async function (email: Email) {\n // Process email\n}\n```\n\nFiles that are Email triggers have email in their name like `foobar.email.tsx`\n\n\n## Val Town Standard Libraries\n\nVal Town provides several hosted services and utility functions.\n\n### Blob Storage\n\n```ts\nimport { blob } from \"https://esm.town/v/std/blob\";\nawait blob.setJSON(\"myKey\", { hello: \"world\" });\nlet blobDemo = await blob.getJSON(\"myKey\");\nlet appKeys = await blob.list(\"app_\");\nawait blob.delete(\"myKey\");\n```\n\n### SQLite\n\n```ts\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nconst TABLE_NAME = 'todo_app_users_2';\n// Create table - do this before usage and change table name when modifying schema\nawait sqlite.execute(`CREATE TABLE IF NOT EXISTS ${TABLE_NAME} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n name TEXT NOT NULL\n)`);\n// Query data\nconst result = await sqlite.execute(`SELECT * FROM ${TABLE_NAME} WHERE id = ?`, [1]);\n```\n\nNote: When changing a SQLite table's schema, change the table's name (e.g., add _2 or _3) to create a fresh table.\n\n### OpenAI\n\n```ts\nimport { OpenAI } from \"https://esm.town/v/std/openai\";\nconst openai = new OpenAI();\nconst completion = await openai.chat.completions.create({\n messages: [\n { role: \"user\", content: \"Say hello in a creative way\" },\n ],\n model: \"gpt-4o-mini\",\n max_tokens: 30,\n});\n```\n\n### Email\n\n```ts\nimport { email } from \"https://esm.town/v/std/email\";\n// By default emails the owner of the val\nawait email({ \n subject: \"Hi\", \n text: \"Hi\", \n html: \"

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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{\n scrollbar-width: thin;\n scrollbar-color: var(--sidebar-border) transparent;\n}\n\n.focus-ring {\n outline: none;\n box-shadow:\n 0 0 0 2px var(--background),\n 0 0 0 4px var(--primary);\n}\n.focus-ring-primary {\n box-shadow:\n 0 0 0 2px var(--background),\n 0 0 0 4px var(--primary);\n}\n\n/* Chat Layout */\n.chat-shell {\n display: flex;\n flex-direction: column;\n height: 100dvh;\n max-width: 48rem;\n margin: 0 auto;\n font-family: var(--font-body);\n color: var(--foreground);\n background-color: var(--background);\n}\n\n.chat-header {\n padding: 1rem 1.5rem;\n border-bottom: 1px solid var(--sidebar-border);\n}\n.chat-header h1 {\n margin: 0;\n font-size: 1.25rem;\n font-weight: 600;\n font-family: var(--font-heading);\n}\n\n.chat-messages {\n flex: 1;\n overflow-y: auto;\n padding: 1.5rem;\n display: flex;\n flex-direction: column;\n gap: 1rem;\n}\n\n.chat-empty {\n display: flex;\n flex-direction: column;\n align-items: center;\n gap: 0.75rem;\n margin: auto;\n text-align: center;\n color: var(--muted-foreground);\n}\n.chat-empty p {\n margin-bottom: 0.5rem;\n}\n.chat-empty button {\n padding: 0.5rem 1rem;\n border: 1px solid var(--sidebar-border);\n border-radius: 0.5rem;\n background: var(--background);\n color: var(--foreground);\n cursor: pointer;\n transition:\n background-color 0.15s,\n border-color 0.15s;\n}\n.chat-empty button:hover {\n background-color: var(--sidebar-accent);\n border-color: var(--primary);\n}\n\n.chat-row {\n display: flex;\n flex-direction: column;\n gap: 0.25rem;\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 text-transform: uppercase;\n letter-spacing: 0.05em;\n color: var(--muted-foreground);\n padding: 0 0.25rem;\n}\n\n.chat-bubble {\n padding: 0.75rem 1rem;\n border-radius: 0.75rem;\n background-color: var(--sidebar-accent);\n max-width: 85%;\n line-height: 1.5;\n word-break: break-word;\n}\n.chat-bubble-user {\n background-color: var(--primary);\n color: var(--primary-foreground);\n}\n\n.chat-loading {\n padding: 0.5rem 1.5rem;\n font-size: 0.875rem;\n color: var(--muted-foreground);\n animation: blink 1s step-start infinite;\n}\n\n.chat-error {\n padding: 0.5rem 1.5rem;\n font-size: 0.875rem;\n color: var(--destructive);\n}\n\n.chat-form {\n display: flex;\n flex-direction: column;\n gap: 0.75rem;\n padding: 0.75rem 1.5rem 1rem;\n border-top: 1px solid var(--sidebar-border);\n}\n\n.chat-input-area {\n display: flex;\n gap: 0.5rem;\n width: 100%;\n}\n\n.chat-footer {\n display: flex;\n justify-content: flex-end;\n align-items: center;\n font-size: 0.75rem;\n color: var(--muted-foreground);\n}\n\n.model-selector {\n display: flex;\n align-items: center;\n gap: 0.5rem;\n padding: 0.25rem 0.5rem;\n border-radius: 0.25rem;\n background-color: var(--sidebar-accent);\n font-weight: 500;\n transition: opacity 0.2s;\n}\n\n.model-selector.disabled {\n opacity: 0.7;\n cursor: not-allowed;\n}\n\n.chat-form textarea {\n flex: 1;\n resize: none;\n padding: 0.625rem 0.75rem;\n border: 1px solid var(--sidebar-border);\n border-radius: 0.5rem;\n font-family: var(--font-body);\n font-size: 0.9375rem;\n background: var(--background);\n color: var(--foreground);\n outline: none;\n transition: border-color 0.15s;\n}\n.chat-form textarea:focus {\n border-color: var(--primary);\n}\n.chat-form button {\n padding: 0.625rem 1.25rem;\n border: none;\n border-radius: 0.5rem;\n background-color: var(--primary);\n color: var(--primary-foreground);\n font-weight: 600;\n cursor: pointer;\n transition: opacity 0.15s;\n}\n.chat-form button:disabled {\n opacity: 0.5;\n cursor: not-allowed;\n}\n\n/* Leaflet Overrides */\n.places-marker {\n background-color: var(--primary);\n border-radius: 50%;\n border: 2px solid white;\n}\n.marker-cluster {\n background-color: var(--primary);\n color: white;\n border-radius: 50%;\n display: flex;\n align-items: center;\n justify-content: center;\n font-weight: bold;\n}\n\n/* Reduced Motion */\n@media (prefers-reduced-motion) {\n * {\n animation-duration: 0.01ms !important;\n animation-iteration-count: 1 !important;\n transition-duration: 0.01ms !important;\n scroll-behavior: auto !important;\n }\n}\n\n/* Prose */\n.prose {\n max-width: 65ch;\n color: var(--foreground);\n}\n.prose h1,\n.prose h2,\n.prose h3,\n.prose h4 {\n color: var(--foreground);\n font-weight: 600;\n margin-top: 1.5em;\n margin-bottom: 0.5em;\n}\n.prose p {\n margin-bottom: 1em;\n line-height: 1.6;\n}\n.prose code {\n background-color: var(--sidebar-accent);\n padding: 0.2em 0.4em;\n border-radius: 4px;\n font-family: var(--font-mono);\n font-size: 0.9em;\n}\n.prose pre {\n background-color: var(--sidebar-accent);\n padding: 1em;\n border-radius: 8px;\n overflow-x: auto;\n}\n.prose pre code {\n background-color: transparent;\n padding: 0;\n}\n",[],[201,291],"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();",[],[201,300],"0f493e30-0d7f-11f1-aefa-42dde27851f2","index.html","019c7059-0ed3-724f-869d-63b68cc06b7d",48,["D",1771497479355],"\n\n \n \n \n React Hono Val Town Starter\n \n \n \n \n \n

\n \n \n \n\n",[],[201,307],"aa56e6da-0cb6-11f1-8b14-42dde27851f2","favicon.svg","019c7059-0ed3-724f-869d-5ce97042364a",["D",1771411410564],"\n",[],[201,315],"ad8ca9fa-0d80-11f1-869b-42dde27851f2","App.tsx","019c7059-0ed3-724f-869d-558a3819401a","019c7059-0ed3-724f-869d-5b56e15573c6",54,["D",1771498174334],12,"/** @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\ntype ChatRole = \"user\" | \"assistant\";\n\ninterface ChatMessage {\n role: ChatRole;\n content: string;\n}\n\ninterface ChatDoneEvent {\n assistantMessage: string;\n messages: ChatMessage[];\n sessionId: string;\n}\n\ninterface ChatChunkEvent {\n delta: string;\n assistantMessage: string;\n}\n\ninterface ChatErrorEvent {\n error: string;\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\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 messagesContainerRef = useRef(null);\n const hasStartedChat = messages.length > 0;\n\n const canSend = useMemo(\n () => hasStartedChat && input.trim().length > 0 && !isLoading,\n [hasStartedChat, 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 = [\n ...messages,\n { role: \"user\", content: trimmedInput } satisfies ChatMessage,\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,\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 setMessages(data.messages);\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

Ask an AI... about AI

\n\n \n {messages.length === 0 && (\n

Choose one of the starter prompts to begin:

\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 \n

\n {message.role === \"assistant\" ? \"assistant\" : \"you\"}\n

\n \n {message.content}\n

\n \n ))}\n \n\n {isLoading &&

Assistant is typing...

}\n {errorMessage &&

{errorMessage}

}\n\n {hasStartedChat && (\n \n )}\n \n );\n}\n",[],[201,331,322],"components","aa56e478-0cb6-11f1-8b14-42dde27851f2",["D",1771411410564],[243],[201,331],["D",1771411410564],[242,244,245,246,247],[201],"493f2538-0d79-11f1-bb8a-42dde27851f2","prompts.ts","24a3046a-0d79-11f1-a265-42dde27851f2",21,["D",1771494999614],"export const STARTER_PROMPTS = [\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",[],[206,340],"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",[],[206,166],["D",1771494937646],[239,240],[206],"bffae58e-0d94-11f1-9ce5-42dde27851f2",["D",1771506795231],[],[212,33],["D",1771411796427],[237],[212],"8ea42c6a-0d7c-11f1-85b2-42dde27851f2",".gitkeep","8ea42d3c-0d7c-11f1-85b2-42dde27851f2",28,["D",1771496404535],"\n",[],[218,365],["D",1771496404338],[235],[218],["D",1771411410564],{"_97":96,"_105":101},{"_97":96,"_98":99,"_100":101,"_18":-5,"_102":103,"_104":25},{"_13":86,"_32":87,"_44":43,"_88":45,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":46,"_95":96},"ctx",{"_79":-5,"_125":412,"_413":414,"_415":416,"_417":25,"_418":25,"_419":25,"_420":123,"_421":-5,"_422":-7,"_423":-7,"_424":63,"_425":25,"_426":25,"_427":-5,"_428":25,"_429":25,"_430":25,"_431":-5},"ENV",{"_383":384,"_385":386,"_387":87,"_388":389,"_390":391,"_392":393,"_394":395,"_396":397,"_398":399,"_400":401,"_402":403,"_404":405,"_406":407,"_408":409,"_410":411},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","5015b8df46402d8bba4f485ecc37aec202b0e06b","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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