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Translate the following text from ${config.sourceLanguage} to ${config.targetLanguage}. Output only the translation, no extra commentary or explanation.`,\n },\n {\n role: \"user\" as const,\n content: text,\n },\n ];\n\n // GreenPTClient doesn't support streaming directly, so we'll get the full response\n // and simulate streaming by chunking the output\n const response = await client.invoke(messages);\n const translation = response?.trim() ?? \"\";\n\n // Simulate streaming by sending the response in chunks\n const chunkSize = 10;\n let sentChars = 0;\n\n for (let i = 0; i < translation.length; i += chunkSize) {\n const chunk = translation.slice(i, i + chunkSize);\n sentChars += chunk.length;\n const done = sentChars >= translation.length;\n onChunk(chunk, done);\n\n // Small delay to simulate streaming effect\n if (!done) {\n await new Promise((resolve) => setTimeout(resolve, 10));\n }\n }\n\n // If empty response, signal done\n if (translation.length === 0) {\n onChunk(\"\", true);\n }\n\n return translation;\n}\n\n// Non-streaming version for simpler use cases\nexport async function translate(\n text: string,\n config: TranslatorConfig\n): Promise {\n const client = GreenPTClient(config.model);\n\n const messages = [\n {\n role: \"system\" as const,\n content: `You are a translation engine. Translate the following text from ${config.sourceLanguage} to ${config.targetLanguage}. Output only the translation, no extra commentary or explanation.`,\n },\n {\n role: \"user\" as const,\n content: text,\n },\n ];\n\n const response = await client.invoke(messages);\n return response?.trim() ?? \"\";\n}\n","import { OpenAI } from \"https://esm.town/v/std/openai\";\n\nexport interface TranslatorConfig {\n model: string;\n sourceLanguage: string;\n targetLanguage: string;\n}\n\nexport type TranslationChunkCallback = (chunk: string, done: boolean) => void;\n\n// Create a streaming translator that translates text and calls back with chunks\nexport async function translateStreaming(\n text: string,\n config: TranslatorConfig,\n onChunk: TranslationChunkCallback\n): Promise {\n const openai = new OpenAI();\n\n const messages = [\n {\n role: \"system\" as const,\n content: `You are a translation engine. Translate the following text from ${config.sourceLanguage} to ${config.targetLanguage}. Output only the translation, no extra commentary or explanation.`,\n },\n {\n role: \"user\" as const,\n content: text,\n },\n ];\n\n // Use OpenAI streaming API\n const stream = await openai.chat.completions.create({\n model: config.model,\n messages,\n stream: true,\n });\n\n let fullTranslation = \"\";\n\n for await (const chunk of stream) {\n const content = chunk.choices[0]?.delta?.content ?? \"\";\n if (content) {\n fullTranslation += content;\n onChunk(content, false);\n }\n }\n\n // Signal completion\n onChunk(\"\", true);\n\n return fullTranslation.trim();\n}\n\n// Non-streaming version for simpler use cases\nexport async function translate(\n text: string,\n config: TranslatorConfig\n): Promise {\n const openai = new OpenAI();\n\n const messages = [\n {\n role: \"system\" as const,\n content: `You are a translation engine. Translate the following text from ${config.sourceLanguage} to ${config.targetLanguage}. Output only the translation, no extra commentary or explanation.`,\n },\n {\n role: \"user\" as const,\n content: text,\n },\n ];\n\n const completion = await openai.chat.completions.create({\n model: config.model,\n messages,\n });\n\n return completion.choices[0]?.message?.content?.trim() ?? 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{ default } from \"./backend/index.ts\";\n","label",[151],"61457f92-f1e5-11f0-a235-42dde27851f2","knowledge.md","019bc098-b930-769f-b4ed-2208020508e2",1,["D",1768462792974],"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- If a file has an export that can be used with a trigger, do not move the stable.\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#### SQLite queries\n\nWhen you do `sqlite.execute()` to query the database, parse results using zod \n\n```ts\nawait sqlite.execite(query);\nresult.rows.forEach((row, index) => {\n const parsed = QueriedStorageType.parse({\n fieldName: row[0],\n otherFieldName: row[1],\n // etc.\n });\n```\n\n#### Batching operations\n\n```ts\nimport { sqlite } from \"https://esm.town/v/std/sqlite\";\n\nconst charge = 10;\n\nexport const batchSqlite = await sqlite.batch([\n `create table if not exists accounts(person_id text unique, balance integer)`,\n {\n sql: `update accounts set balance = balance - :charge where person_id = 'Bob'`,\n args: { charge },\n },\n {\n sql: `update accounts set balance = balance + :charge where person_id = 'Alice'`,\n args: { charge },\n },\n]);\n```\n\n### OpenAI\n\nDo not use val.town std library, import from https://esm.town/v/cricks_unmixed4u/openai-client/main.tsx and use\n\n## GreenPTClient\n\nThe `GreenPTClient` is a function that allows interaction with the GreenPT API for chat completions. It accepts a model parameter and provides an `invoke` method to send messages and retrieve responses asynchronously. To ensure API security, it requires an API key stored in environment variables.\n\n### Example Usage\n\n```tsx\nimport { GreenPTClient } from \"https://esm.town/v/cricks_unmixed4u/openai-client/main.tsx\";\n\nconst client = GreenPTClient(\"green-l\");\n\nasync function getChatResponse() {\n const messages = [\n { role: \"user\", content: \"What is the capital of France?\" },\n ];\n\n try {\n const response = await client.invoke(messages);\n console.log(\"AI Response:\", response);\n } catch (error) {\n console.error(\"Error invoking GreenPT API:\", error);\n }\n}\n\n// Execute the function to get a response\ngetChatResponse();\n```\n\nIn this example, we create an instance of `GreenPTClient`, send a message asking about the capital of France, and log the AI's response. Error handling is included to catch any issues with the API call.\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: `

Hi

`\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 vals`\n\n",[176],"614578bc-f1e5-11f0-a235-42dde27851f2",".vtignore","019bc098-b930-769f-b4ed-18a745c7cbb7",["D",1768462792974],".git\n.vscode\n.DS_Store\nnode_modules\nvendor\n",[183],"cfa0983e-f1f7-11f0-9d05-42dde27851f2",".env.example","cfa0992e-f1f7-11f0-9d05-42dde27851f2",19,["D",1768470709104],"# Deepgram API Configuration\nDEEPGRAM_API_KEY=your_deepgram_api_key_here\n\n# Translation Configuration\nSOURCE_LANGUAGE=en\nTARGET_LANGUAGE=tr\nMODEL=green-l",[189],"61453a64-f1e5-11f0-a235-42dde27851f2",".cursorrules","019bc098-b930-769f-b4ed-1790d529296c",["D",1768462792974],[196],"87f2c4cc-f1f6-11f0-9943-42dde27851f2","shared","87f2c594-f1f6-11f0-9943-42dde27851f2",4,["D",1768470159343],"directory",[201],"87a775f8-f1f6-11f0-995d-42dde27851f2","frontend","87a776a2-f1f6-11f0-995d-42dde27851f2",["D",1768470158848],[208],"87cc5f26-f1f6-11f0-9b74-42dde27851f2","backend","87cc5fda-f1f6-11f0-9b74-42dde27851f2",3,["D",1768470159098],[213],"61453884-f1e5-11f0-a235-42dde27851f2",".cursor","019bc098-b930-769f-b4ed-10c4b8391fc6",["D",1768462792974],[219],"pulls","branches","forks","envVars",{"_230":157,"_232":61},"connections",{"_230":61,"_231":61},"count","unfilledCount","emptyCount",{"_44":218,"_32":219,"_30":220,"_153":-5,"_42":43,"_41":165,"_155":127,"_39":366,"_13":61,"_34":205,"_36":-5,"_24":25,"_160":-5,"_256":367,"_27":368},{"_44":362,"_32":361,"_30":356,"_153":220,"_42":43,"_41":165,"_155":127,"_39":363,"_13":61,"_34":205,"_36":-5,"_24":25,"_160":-5,"_256":364,"_27":365},{"_44":353,"_32":354,"_30":355,"_153":356,"_42":43,"_41":165,"_155":127,"_39":357,"_13":61,"_34":20,"_36":358,"_24":25,"_160":-5,"_256":359,"_27":360},{"_44":212,"_32":213,"_30":214,"_153":-5,"_42":43,"_41":215,"_155":127,"_39":350,"_13":61,"_34":205,"_36":-5,"_24":25,"_160":-5,"_256":351,"_27":352},{"_44":342,"_32":343,"_30":344,"_153":214,"_42":43,"_41":345,"_155":127,"_39":346,"_13":165,"_34":35,"_36":347,"_24":25,"_160":-5,"_256":348,"_27":349},{"_44":334,"_32":335,"_30":336,"_153":214,"_42":43,"_41":337,"_155":25,"_39":338,"_13":165,"_34":35,"_36":339,"_24":25,"_160":-5,"_256":340,"_27":341},{"_44":330,"_32":33,"_30":31,"_153":214,"_42":43,"_41":14,"_155":127,"_39":331,"_13":165,"_34":35,"_36":38,"_24":25,"_160":-5,"_256":332,"_27":333},{"_44":207,"_32":208,"_30":209,"_153":-5,"_42":43,"_41":157,"_155":127,"_39":327,"_13":61,"_34":205,"_36":-5,"_24":25,"_160":-5,"_256":328,"_27":329},{"_44":322,"_32":321,"_30":315,"_153":209,"_42":43,"_41":323,"_155":127,"_39":324,"_13":61,"_34":205,"_36":-5,"_24":25,"_160":-5,"_256":325,"_27":326},{"_44":312,"_32":313,"_30":314,"_153":315,"_42":43,"_41":316,"_155":25,"_39":317,"_13":215,"_34":35,"_36":318,"_24":25,"_160":-5,"_256":319,"_27":320},{"_44":304,"_32":305,"_30":306,"_153":209,"_42":43,"_41":307,"_155":127,"_39":308,"_13":61,"_34":20,"_36":309,"_24":25,"_160":-5,"_256":310,"_27":311},{"_44":296,"_32":297,"_30":298,"_153":209,"_42":43,"_41":299,"_155":25,"_39":300,"_13":61,"_34":35,"_36":301,"_24":25,"_160":-5,"_256":302,"_27":303},{"_44":200,"_32":201,"_30":202,"_153":-5,"_42":43,"_41":203,"_155":127,"_39":293,"_13":61,"_34":205,"_36":-5,"_24":25,"_160":-5,"_256":294,"_27":295},{"_44":285,"_32":286,"_30":287,"_153":202,"_42":43,"_41":288,"_155":127,"_39":289,"_13":61,"_34":35,"_36":290,"_24":25,"_160":-5,"_256":291,"_27":292},{"_44":277,"_32":278,"_30":279,"_153":202,"_42":43,"_41":280,"_155":25,"_39":281,"_13":61,"_34":35,"_36":282,"_24":25,"_160":-5,"_256":283,"_27":284},{"_44":195,"_32":196,"_30":197,"_153":-5,"_42":43,"_41":165,"_155":127,"_39":274,"_13":61,"_34":20,"_36":180,"_24":25,"_160":-5,"_256":275,"_27":276},{"_44":188,"_32":189,"_30":190,"_153":-5,"_42":43,"_41":191,"_155":127,"_39":271,"_13":61,"_34":20,"_36":193,"_24":25,"_160":-5,"_256":272,"_27":273},{"_44":182,"_32":183,"_30":184,"_153":-5,"_42":43,"_41":165,"_155":127,"_39":268,"_13":61,"_34":20,"_36":186,"_24":25,"_160":-5,"_256":269,"_27":270},{"_44":175,"_32":176,"_30":177,"_153":-5,"_42":43,"_41":178,"_155":127,"_39":265,"_13":61,"_34":20,"_36":180,"_24":25,"_160":-5,"_256":266,"_27":267},{"_44":169,"_32":170,"_30":171,"_153":-5,"_42":43,"_41":165,"_155":25,"_39":262,"_13":61,"_34":20,"_36":173,"_24":25,"_160":-5,"_256":263,"_27":264},{"_44":162,"_32":163,"_30":164,"_153":-5,"_42":43,"_41":165,"_155":127,"_39":259,"_13":61,"_34":20,"_36":167,"_24":25,"_160":-5,"_256":260,"_27":261},{"_44":150,"_32":151,"_30":152,"_153":-5,"_42":43,"_41":154,"_155":127,"_39":255,"_13":157,"_34":158,"_36":159,"_24":25,"_160":-5,"_256":257,"_27":258},["D",1768470185419],"children",[],[151],["D",1768462792974],[],[163],["D",1768462792974],[],[170],["D",1768470160142],[],[176],["D",1768462792974],[],[183],["D",1768470709104],[],[189],["D",1768462792974],[],[196],"88675832-f1f6-11f0-ad26-42dde27851f2","types.ts","886758c8-f1f6-11f0-ad26-42dde27851f2",12,["D",1768470160115],"// WebSocket message types for live transcription and translation\n\n// Messages sent from client to server\nexport type ClientMessage =\n | { type: \"start\"; sourceLanguage?: string; targetLanguage?: string }\n | { type: \"stop\" }\n | { type: \"audio\"; data: string }; // base64 encoded audio chunk\n\n// Messages sent from server to client\nexport type ServerMessage =\n | { type: \"transcript_interim\"; text: string }\n | { type: \"transcript_final\"; text: string }\n | { type: \"translation_interim\"; text: string; isFinal: boolean }\n | { type: \"translation_final\"; text: string }\n | { type: \"error\"; message: string }\n | { type: \"status\"; status: \"connected\" | \"listening\" | \"stopped\" };\n\n// Configuration for the live translation session\nexport interface SessionConfig {\n sourceLanguage: string;\n targetLanguage: string;\n model: string;\n}\n",[],[201,278],"9d534a8a-f2c8-11f0-aec5-42dde27851f2","languages.ts","9d534b48-f2c8-11f0-aec5-42dde27851f2",21,["D",1768560389497],"// Language definitions for transcription and translation\n// Language codes follow ISO 639-1 standard (used by Deepgram/GreenPT)\n\nexport interface Language {\n code: string;\n name: string;\n flag?: string; // Optional flag emoji for better UX\n}\n\nexport const LANGUAGES: Language[] = [\n { code: \"en\", name: \"English\", flag: \"🇺🇸\" },\n { code: \"es\", name: \"Spanish\", flag: \"🇪🇸\" },\n { code: \"fr\", name: \"French\", flag: \"🇫🇷\" },\n { code: \"de\", name: \"German\", flag: \"🇩🇪\" },\n { code: \"it\", name: \"Italian\", flag: \"🇮🇹\" },\n { code: \"pt\", name: \"Portuguese\", flag: \"🇵🇹\" },\n { code: \"ru\", name: \"Russian\", flag: \"🇷🇺\" },\n { code: \"ja\", name: \"Japanese\", flag: \"🇯🇵\" },\n { code: \"ko\", name: \"Korean\", flag: \"🇰🇷\" },\n { code: \"zh\", name: \"Chinese\", flag: \"🇨🇳\" },\n { code: \"tr\", name: \"Turkish\", flag: \"🇹🇷\" },\n { code: \"ar\", name: \"Arabic\", flag: \"🇸🇦\" },\n { code: \"hi\", name: \"Hindi\", flag: \"🇮🇳\" },\n { code: \"nl\", name: \"Dutch\", flag: \"🇳🇱\" },\n { code: \"pl\", name: \"Polish\", flag: \"🇵🇱\" },\n { code: \"sv\", name: \"Swedish\", flag: \"🇸🇪\" },\n { code: \"da\", name: \"Danish\", flag: \"🇩🇰\" },\n { code: \"no\", name: \"Norwegian\", flag: \"🇳🇴\" },\n { code: \"fi\", name: \"Finnish\", flag: \"🇫🇮\" },\n { code: \"cs\", name: \"Czech\", flag: \"🇨🇿\" },\n { code: \"el\", name: \"Greek\", flag: \"🇬🇷\" },\n { code: \"he\", name: \"Hebrew\", flag: \"🇮🇱\" },\n { code: \"th\", name: \"Thai\", flag: \"🇹🇭\" },\n { code: \"vi\", name: \"Vietnamese\", flag: \"🇻🇳\" },\n { code: \"id\", name: \"Indonesian\", flag: \"🇮🇩\" },\n { code: \"ms\", name: \"Malay\", flag: \"🇲🇾\" },\n { code: \"uk\", name: \"Ukrainian\", flag: \"🇺🇦\" },\n { code: \"ro\", name: \"Romanian\", flag: \"🇷🇴\" },\n { code: \"hu\", name: \"Hungarian\", flag: \"🇭🇺\" },\n { code: \"bg\", name: \"Bulgarian\", flag: \"🇧🇬\" },\n { code: \"hr\", name: \"Croatian\", flag: \"🇭🇷\" },\n { code: \"sk\", name: \"Slovak\", flag: \"🇸🇰\" },\n { code: \"sl\", name: \"Slovenian\", flag: \"🇸🇮\" },\n];\n\n// Default languages matching backend defaults\nexport const DEFAULT_SOURCE_LANGUAGE = \"en\";\nexport const DEFAULT_TARGET_LANGUAGE = \"tr\";\n\n// Helper function to get language by code\nexport function getLanguageByCode(code: string): Language | undefined {\n return LANGUAGES.find((lang) => lang.code === code);\n}\n\n// Helper function to get language name by code\nexport function getLanguageName(code: string): string {\n const lang = getLanguageByCode(code);\n return lang?.name ?? code.toUpperCase();\n}\n",[],[201,286],["D",1768470159343],[246,247],[201],"883da5f0-f1f6-11f0-9c0e-42dde27851f2","index.tsx","883da6a4-f1f6-11f0-9c0e-42dde27851f2",6,["D",1768470159828],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React from \"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 = createRoot(document.getElementById(\"root\")!);\nroot.render();\n",[],[208,297],"88491cc8-f1f6-11f0-b755-42dde27851f2","index.html","88491d7c-f1f6-11f0-b755-42dde27851f2",9,["D",1768470159839],"\n\n\n \n \n Live Translate\n \n \n \n \n \n \n\n\n

\n \n\n\n",[],[208,305],"cf14808e-f2c8-11f0-bda6-42dde27851f2","App.tsx","88412630-f1f6-11f0-a2c0-42dde27851f2","88177e48-f1f6-11f0-9c0e-42dde27851f2",22,["D",1768560472956],"/** @jsxImportSource https://esm.sh/react@18.2.0 */\nimport React, { useState, useRef, useCallback, useEffect } from \"https://esm.sh/react@18.2.0\";\nimport type { ClientMessage, ServerMessage } from \"../../shared/types.ts\";\nimport {\n LANGUAGES,\n DEFAULT_SOURCE_LANGUAGE,\n DEFAULT_TARGET_LANGUAGE,\n} from \"../../shared/languages.ts\";\n\ninterface TranscriptEntry {\n id: number;\n text: string;\n isFinal: boolean;\n}\n\ninterface TranslationEntry {\n id: number;\n text: string;\n isFinal: boolean;\n}\n\nexport function App() {\n const [isRecording, setIsRecording] = useState(false);\n const [status, setStatus] = useState(\"Ready\");\n const [error, setError] = useState(null);\n const [transcripts, setTranscripts] = useState([]);\n const [translations, setTranslations] = useState([]);\n const [interimTranscript, setInterimTranscript] = useState(\"\");\n const [interimTranslation, setInterimTranslation] = useState(\"\");\n const [sourceLanguage, setSourceLanguage] = useState(DEFAULT_SOURCE_LANGUAGE);\n const [targetLanguage, setTargetLanguage] = useState(DEFAULT_TARGET_LANGUAGE);\n\n const wsRef = useRef(null);\n const mediaRecorderRef = useRef(null);\n const audioContextRef = useRef(null);\n const processorRef = useRef(null);\n const streamRef = useRef(null);\n const entryIdRef = useRef(0);\n\n const transcriptEndRef = useRef(null);\n const translationEndRef = useRef(null);\n\n // Auto-scroll to bottom when new entries appear\n useEffect(() => {\n transcriptEndRef.current?.scrollIntoView({ behavior: \"smooth\" });\n }, [transcripts, interimTranscript]);\n\n useEffect(() => {\n translationEndRef.current?.scrollIntoView({ behavior: \"smooth\" });\n }, [translations, interimTranslation]);\n\n const connectWebSocket = useCallback(() => {\n const protocol = window.location.protocol === \"https:\" ? \"wss:\" : \"ws:\";\n const ws = new WebSocket(`${protocol}//${window.location.host}/ws`);\n\n ws.onopen = () => {\n console.log(\"[WS] Connected\");\n setStatus(\"Connected\");\n };\n\n ws.onmessage = (event) => {\n const message: ServerMessage = JSON.parse(event.data);\n\n switch (message.type) {\n case \"status\":\n setStatus(message.status === \"listening\" ? \"Listening...\" : message.status);\n break;\n\n case \"transcript_interim\":\n setInterimTranscript(message.text);\n break;\n\n case \"transcript_final\":\n setTranscripts((prev) => [\n ...prev,\n { id: ++entryIdRef.current, text: message.text, isFinal: true },\n ]);\n setInterimTranscript(\"\");\n break;\n\n case \"translation_interim\":\n setInterimTranslation((prev) => prev + message.text);\n break;\n\n case \"translation_final\":\n setTranslations((prev) => [\n ...prev,\n { id: ++entryIdRef.current, text: interimTranslation + message.text, isFinal: true },\n ]);\n setInterimTranslation(\"\");\n break;\n\n case \"error\":\n setError(message.message);\n setTimeout(() => setError(null), 5000);\n break;\n }\n };\n\n ws.onclose = () => {\n console.log(\"[WS] Disconnected\");\n setStatus(\"Disconnected\");\n };\n\n ws.onerror = (error) => {\n console.error(\"[WS] Error:\", error);\n setError(\"WebSocket connection error\");\n };\n\n wsRef.current = ws;\n return ws;\n }, [interimTranslation]);\n\n const swapLanguages = useCallback(() => {\n const currentSource = sourceLanguage;\n const currentTarget = targetLanguage;\n setSourceLanguage(currentTarget);\n setTargetLanguage(currentSource);\n }, [sourceLanguage, targetLanguage]);\n\n const startRecording = useCallback(async () => {\n try {\n setError(null);\n\n // Connect WebSocket if not connected\n if (!wsRef.current || wsRef.current.readyState !== WebSocket.OPEN) {\n const ws = connectWebSocket();\n await new Promise((resolve, reject) => {\n ws.onopen = () => resolve();\n ws.onerror = () => reject(new Error(\"Failed to connect\"));\n setTimeout(() => reject(new Error(\"Connection timeout\")), 5000);\n });\n }\n\n // Request microphone access\n const stream = await navigator.mediaDevices.getUserMedia({\n audio: {\n sampleRate: 16000,\n channelCount: 1,\n echoCancellation: true,\n noiseSuppression: true,\n },\n });\n streamRef.current = stream;\n\n // Create audio context for resampling to 16kHz PCM\n const audioContext = new AudioContext({ sampleRate: 16000 });\n audioContextRef.current = audioContext;\n\n const source = audioContext.createMediaStreamSource(stream);\n const processor = audioContext.createScriptProcessor(4096, 1, 1);\n processorRef.current = processor;\n\n processor.onaudioprocess = (e) => {\n if (wsRef.current?.readyState === WebSocket.OPEN) {\n const inputData = e.inputBuffer.getChannelData(0);\n // Convert float32 to int16\n const int16Data = new Int16Array(inputData.length);\n for (let i = 0; i < inputData.length; i++) {\n const s = Math.max(-1, Math.min(1, inputData[i]));\n int16Data[i] = s < 0 ? s * 0x8000 : s * 0x7fff;\n }\n\n // Convert to base64\n const uint8 = new Uint8Array(int16Data.buffer);\n let binary = \"\";\n for (let i = 0; i < uint8.length; i++) {\n binary += String.fromCharCode(uint8[i]);\n }\n const base64 = btoa(binary);\n\n const msg: ClientMessage = { type: \"audio\", data: base64 };\n wsRef.current.send(JSON.stringify(msg));\n }\n };\n\n source.connect(processor);\n processor.connect(audioContext.destination);\n\n // Send start message with language selection\n const startMsg: ClientMessage = {\n type: \"start\",\n sourceLanguage,\n targetLanguage,\n };\n wsRef.current?.send(JSON.stringify(startMsg));\n\n setIsRecording(true);\n setStatus(\"Listening...\");\n } catch (err) {\n console.error(\"Error starting recording:\", err);\n setError(err instanceof Error ? err.message : \"Failed to start recording\");\n }\n }, [connectWebSocket, sourceLanguage, targetLanguage]);\n\n const stopRecording = useCallback(() => {\n // Stop audio processing\n processorRef.current?.disconnect();\n audioContextRef.current?.close();\n streamRef.current?.getTracks().forEach((track) => track.stop());\n\n processorRef.current = null;\n audioContextRef.current = null;\n streamRef.current = null;\n\n // Send stop message\n if (wsRef.current?.readyState === WebSocket.OPEN) {\n const stopMsg: ClientMessage = { type: \"stop\" };\n wsRef.current.send(JSON.stringify(stopMsg));\n }\n\n setIsRecording(false);\n setStatus(\"Stopped\");\n setInterimTranscript(\"\");\n setInterimTranslation(\"\");\n }, []);\n\n const clearAll = useCallback(() => {\n setTranscripts([]);\n setTranslations([]);\n setInterimTranscript(\"\");\n setInterimTranslation(\"\");\n }, []);\n\n return (\n

\n {/* Header */}\n

\n Live Translate\n

\n Real-time speech transcription and translation\n

\n\n {/* Error Banner */}\n {error && (\n \n

\n {error}\n

\n )}\n\n {/* Controls */}\n

\n {/* Language Selectors */}\n

\n \n From\n \n setSourceLanguage(e.target.value)}\n disabled={isRecording}\n className=\"px-4 py-2 rounded-lg font-medium text-sm transition-all\"\n style={{\n background: \"var(--bg-secondary)\",\n color: \"var(--text-primary)\",\n border: \"1px solid rgba(0, 212, 255, 0.3)\",\n cursor: isRecording ? \"not-allowed\" : \"pointer\",\n opacity: isRecording ? 0.6 : 1,\n minWidth: \"160px\",\n }}\n >\n {LANGUAGES.map((lang) => (\n \n ))}\n \n

\n\n \n ↔️\n \n\n

\n \n To\n \n setTargetLanguage(e.target.value)}\n disabled={isRecording}\n className=\"px-4 py-2 rounded-lg font-medium text-sm transition-all\"\n style={{\n background: \"var(--bg-secondary)\",\n color: \"var(--text-primary)\",\n border: \"1px solid rgba(255, 0, 170, 0.3)\",\n cursor: isRecording ? \"not-allowed\" : \"pointer\",\n opacity: isRecording ? 0.6 : 1,\n minWidth: \"160px\",\n }}\n >\n {LANGUAGES.map((lang) => (\n \n ))}\n \n

\n\n

\n {isRecording && (\n \n )}\n \n {isRecording ? \"⏹ Stop\" : \"🎙 Start\"}\n \n

\n\n

\n \n {status}\n \n \n Clear\n \n

\n\n {/* Main Content - Two Columns */}\n

\n {/* Transcription Panel */}\n \n \n 📝 Transcription\n \n \n {transcripts.map((entry) => (\n \n {entry.text}\n

\n ))}\n {interimTranscript && (\n \n {interimTranscript}\n

\n )}\n

\n\n {/* Translation Panel */}\n \n \n 🌐 Translation\n \n \n {translations.map((entry) => (\n \n {entry.text}\n

\n ))}\n {interimTranslation && (\n \n {interimTranslation}\n

\n )}\n

\n \n \n\n {/* Footer */}\n \n \n );\n}\n",[],[208,321,313],"components","88177d80-f1f6-11f0-9c0e-42dde27851f2",5,["D",1768470159590],[242],[208,321],["D",1768470158848],[241,243,244],[208],"ef88917e-f2c9-11f0-b57d-42dde27851f2",["D",1768560956945],[],[213,33],"cf8da1c0-f1f7-11f0-8177-42dde27851f2","index.ts","884fc33e-f1f6-11f0-b8de-42dde27851f2",18,["D",1768470708978],"import { Hono } from \"https://esm.sh/hono@4.4.0\";\nimport { readFile, serveFile } from \"https://esm.town/v/std/utils@85-main/index.ts\";\nimport type { ClientMessage, ServerMessage } from \"../shared/types.ts\";\nimport { createTranscriptionConnection, type TranscriptionConnection } from \"./deepgram.ts\";\nimport { translateStreaming, type TranslatorConfig } from \"./translator.ts\";\n\nconst app = new Hono();\n\n// Unwrap Hono errors to see original error details\napp.onError((err, c) => {\n throw err;\n});\n\n// Environment configuration\nconst GREENPT_API_KEY = Deno.env.get(\"GREENPT_API_KEY\") ?? \"\";\nconst GREENPT_BASE_URL = Deno.env.get(\"GREENPT_BASE_URL\") ?? \"https://api.greenpt.ai/v1\";\nconst TRANSCRIPTION_MODEL = Deno.env.get(\"TRANSCRIPTION_MODEL\") ?? \"green-s\";\nconst SOURCE_LANGUAGE = Deno.env.get(\"SOURCE_LANGUAGE\") ?? \"en\";\nconst TARGET_LANGUAGE = Deno.env.get(\"TARGET_LANGUAGE\") ?? \"tr\";\nconst MODEL = Deno.env.get(\"MODEL\") ?? \"green-l\";\n\n// Serve frontend files\napp.get(\"/frontend/*\", (c) => serveFile(c.req.path, import.meta.url));\napp.get(\"/shared/*\", (c) => serveFile(c.req.path, import.meta.url));\n\n// Serve index.html at root\napp.get(\"/\", async (c) => {\n const html = await readFile(\"/frontend/index.html\", import.meta.url);\n return c.html(html);\n});\n\n// WebSocket endpoint for live transcription\napp.get(\"/ws\", async (c) => {\n const upgradeHeader = c.req.header(\"Upgrade\");\n if (upgradeHeader !== \"websocket\") {\n return c.text(\"Expected WebSocket upgrade\", 426);\n }\n\n const { socket, response } = Deno.upgradeWebSocket(c.req.raw);\n\n let transcriptionConnection: TranscriptionConnection | null = null;\n let isTranslating = false;\n let currentTranslationId = 0;\n\n const sendMessage = (msg: ServerMessage) => {\n if (socket.readyState === WebSocket.OPEN) {\n socket.send(JSON.stringify(msg));\n }\n };\n\n socket.onopen = () => {\n console.log(\"[WS] Client connected\");\n sendMessage({ type: \"status\", status: \"connected\" });\n };\n\n socket.onmessage = async (event) => {\n try {\n const message: ClientMessage = JSON.parse(event.data);\n\n switch (message.type) {\n case \"start\": {\n const sourceLanguage = message.sourceLanguage ?? SOURCE_LANGUAGE;\n const targetLanguage = message.targetLanguage ?? TARGET_LANGUAGE;\n\n console.log(`[WS] Starting transcription: ${sourceLanguage} -> ${targetLanguage}`);\n\n // Create GreenPT transcription connection\n transcriptionConnection = await createTranscriptionConnection(\n {\n apiKey: GREENPT_API_KEY,\n language: sourceLanguage,\n baseUrl: GREENPT_BASE_URL,\n model: TRANSCRIPTION_MODEL,\n },\n // On transcript\n async (transcript) => {\n // Send transcript to client\n if (transcript.isFinal) {\n sendMessage({ type: \"transcript_final\", text: transcript.text });\n } else {\n sendMessage({ type: \"transcript_interim\", text: transcript.text });\n }\n\n // Translate the transcript (both interim and final)\n const translationId = ++currentTranslationId;\n const translatorConfig: TranslatorConfig = {\n model: MODEL,\n sourceLanguage,\n targetLanguage,\n };\n\n // Skip if already translating and this is interim\n if (isTranslating && !transcript.isFinal) {\n return;\n }\n\n isTranslating = true;\n\n try {\n await translateStreaming(\n transcript.text,\n translatorConfig,\n (chunk, done) => {\n // Only send if this is still the current translation\n if (translationId === currentTranslationId) {\n if (transcript.isFinal && done) {\n sendMessage({ type: \"translation_final\", text: chunk });\n } else {\n sendMessage({\n type: \"translation_interim\",\n text: chunk,\n isFinal: transcript.isFinal,\n });\n }\n }\n }\n );\n } catch (err) {\n console.error(\"[WS] Translation error:\", err);\n sendMessage({\n type: \"error\",\n message: `Translation error: ${err instanceof Error ? err.message : String(err)}`,\n });\n } finally {\n isTranslating = false;\n }\n },\n // On error\n (error) => {\n console.error(\"[WS] Transcription error:\", error);\n sendMessage({ type: \"error\", message: `Transcription error: ${error.message}` });\n },\n // On open\n () => {\n sendMessage({ type: \"status\", status: \"listening\" });\n },\n // On close\n () => {\n sendMessage({ type: \"status\", status: \"stopped\" });\n }\n );\n break;\n }\n\n case \"stop\": {\n console.log(\"[WS] Stopping transcription\");\n transcriptionConnection?.close();\n transcriptionConnection = null;\n sendMessage({ type: \"status\", status: \"stopped\" });\n break;\n }\n\n case \"audio\": {\n if (transcriptionConnection && message.data) {\n // Decode base64 audio data\n const binaryString = atob(message.data);\n const bytes = new Uint8Array(binaryString.length);\n for (let i = 0; i < binaryString.length; i++) {\n bytes[i] = binaryString.charCodeAt(i);\n }\n transcriptionConnection.send(bytes.buffer);\n }\n break;\n }\n }\n } catch (err) {\n console.error(\"[WS] Message handling error:\", err);\n sendMessage({\n type: \"error\",\n message: `Error: ${err instanceof Error ? err.message : String(err)}`,\n });\n }\n };\n\n socket.onclose = () => {\n console.log(\"[WS] Client disconnected\");\n transcriptionConnection?.close();\n transcriptionConnection = null;\n };\n\n socket.onerror = (error) => {\n console.error(\"[WS] Socket error:\", error);\n transcriptionConnection?.close();\n transcriptionConnection = null;\n };\n\n return response;\n});\n\nexport default app.fetch;\n",[],[213,335],"cf86526c-f1f7-11f0-9d05-42dde27851f2","deepgram.ts","8862b7b4-f1f6-11f0-b755-42dde27851f2",17,["D",1768470708927],"import { createClient, LiveTranscriptionEvents } from \"https://esm.sh/@deepgram/sdk@3.9.0\";\n\nexport interface TranscriptionConfig {\n apiKey: string;\n language: string;\n baseUrl?: string;\n model?: string;\n}\n\nexport interface TranscriptEvent {\n text: string;\n isFinal: boolean;\n}\n\nexport type TranscriptCallback = (event: TranscriptEvent) => void;\nexport type ErrorCallback = (error: Error) => void;\n\nexport interface TranscriptionConnection {\n send: (audioData: ArrayBuffer) => void;\n close: () => void;\n}\n\nexport function createTranscriptionConnection(\n config: TranscriptionConfig,\n onTranscript: TranscriptCallback,\n onError: ErrorCallback,\n onOpen?: () => void,\n onClose?: () => void\n): Promise {\n return new Promise((resolve, reject) => {\n const clientOptions = config.baseUrl\n ? {\n global: {\n websocket: { options: { url: config.baseUrl } },\n },\n }\n : undefined;\n\n const deepgram = createClient(config.apiKey, clientOptions);\n\n const connection = deepgram.listen.live({\n model: config.model ?? \"green-s\",\n language: config.language,\n smart_format: true,\n interim_results: true,\n punctuate: true,\n endpointing: 200,\n encoding: \"linear16\",\n sample_rate: 16000,\n });\n\n connection.on(LiveTranscriptionEvents.Open, () => {\n console.log(\"[GreenPT Transcription] Connection opened\");\n onOpen?.();\n\n resolve({\n send: (audioData: ArrayBuffer) => {\n connection.send(audioData);\n },\n close: () => {\n connection.finish();\n },\n });\n });\n\n connection.on(LiveTranscriptionEvents.Close, () => {\n console.log(\"[GreenPT Transcription] Connection closed\");\n onClose?.();\n });\n\n connection.on(LiveTranscriptionEvents.Error, (err) => {\n console.error(\"[GreenPT Transcription] Error:\", err);\n onError(err instanceof Error ? err : new Error(String(err)));\n });\n\n connection.on(LiveTranscriptionEvents.Transcript, (data) => {\n const alt = data.channel?.alternatives?.[0];\n const transcript = alt?.transcript?.trim() ?? \"\";\n\n if (!transcript) return;\n\n const isFinal = Boolean(data.is_final);\n onTranscript({ text: transcript, isFinal });\n });\n\n // Handle connection errors during setup\n setTimeout(() => {\n reject(new Error(\"GreenPT transcription connection timeout\"));\n }, 10000);\n });\n}\n",[],[213,343],["D",1768470159098],[237,238,239],[213],"61450a62-f1e5-11f0-a235-42dde27851f2","openai-client.mdc","019bc098-b930-769f-b4ed-08e26d157458","019bc098-b930-769f-b4ed-0d7bafd94421",["D",1768462792974],"---\ndescription: You can use openai-client when integrating vals to an LLM\nglobs: \nalwaysApply: false\n---\nTypeScript interface for interacting with OpenAI's chat models, with optional global rate limiting, and uses Val Town's SQLite for persistent rate limit tracking.\nKey Components\nMessage Type: Defines the structure for chat messages (role and content).\nChatOpenAI(model: string): Factory function returning an object with an invoke(messages) method. This method sends an array of messages to the specified OpenAI chat model and returns the assistant's response.\nGlobalRateLimitedChatOpenAI(model: string, requestsPerSecond: number): Decorator for ChatOpenAI that enforces a global rate limit (requests per second) using a persistent SQLite table.\nGlobalRateLimiter: Class that implements the rate limiting logic. It checks the number of requests in the current time window and throws an error if the limit is exceeded. It uses a table (global_rate_limit_1) in Val Town's SQLite.\nensureGlobalRateLimitTableExists: Ensures the rate limit tracking table exists in the database at startup.\nUsage\nUse ChatOpenAI(model) for direct, unlimited access to OpenAI chat completions.\nUse GlobalRateLimitedChatOpenAI(model, requestsPerSecond) to enforce a global rate limit on chat completions, suitable for shared or public-facing endpoints.\nVal Town/Platform Notes\nUses Val Town’s standard SQLite API for persistent storage.\nDesigned for server-side use (no browser-specific code).\nNo secrets are hardcoded; OpenAI API keys are managed by the OpenAI SDK/environment.",[],[219,361,354],"rules","6145367c-f1e5-11f0-a235-42dde27851f2",["D",1768462792974],[235],[219,361],["D",1768462792974],[234],[219],["D",1768462792974],{"_98":97,"_106":102},{"_98":97,"_99":100,"_101":102,"_18":55,"_103":104,"_105":25},{"_13":84,"_32":85,"_44":43,"_86":45,"_87":88,"_89":90,"_91":51,"_92":93,"_94":63,"_95":46,"_96":97},"ctx",{"_77":-5,"_129":406,"_407":408,"_409":410,"_411":25,"_412":25,"_413":25,"_414":127,"_415":-5,"_416":-7,"_417":-7,"_418":61,"_419":25,"_420":25,"_421":-5,"_422":25,"_423":25,"_424":25,"_425":-5},"ENV",{"_377":378,"_379":380,"_381":85,"_382":383,"_384":385,"_386":387,"_388":389,"_390":391,"_392":393,"_394":395,"_396":397,"_398":399,"_400":401,"_402":403,"_404":405},"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"]

Diff · v23