\n \n \n \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, c) => {\n throw err;\n});\n\nexport default app.fetch;","children",[],[348],"bc1ad364-370e-11f0-a274-9e149126039e","deno.json","4eb9cf89-c96e-43f2-a626-11046107a353",["D",1747919687297],"{\n \"$schema\": \"https://raw.githubusercontent.com/denoland/deno/348900b8b79f4a434cab4c74b3bc8d4d2fa8ee74/cli/schemas/config-file.v1.json\",\n \"lock\": false,\n \"compilerOptions\": {\n \"noImplicitAny\": false,\n \"strict\": false,\n \"types\": [\n \"https://www.val.town/types/valtown.d.ts\"\n ],\n \"lib\": [\n \"dom\",\n \"dom.iterable\",\n \"dom.asynciterable\",\n \"deno.ns\",\n \"deno.unstable\"\n ]\n },\n \"lint\": {\n \"files\": {\n \"include\": [\n \"deno:/https/esm.town/**/*\"\n ]\n },\n \"rules\": {\n \"exclude\": [\n \"no-explicit-any\"\n ]\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}",[],[357],"bc1ace1e-370e-11f0-a274-9e149126039e","TODOs.md","65c30270-bef3-47b6-a80f-56a3de30ff78",["D",1747919687297],"- [ ] Give it a tool to make an HTTP request to its own endpoint to test things!\n- [x] Get React Router working on the client & move off localstorage for storing page state\n- [ ] When it hits the max number of steps, detect that and give the user a button (or instructions on how) to get it to continue (neverstew mentioned this)\n- [x] Make it look good\n- [ ] Persistent threads\n - [ ] Utils to help you revert to before or after messages or actions (related to commits)\n- [ ] give townie a search code tool for the code in the project, and like max’s codesearch tool too\n- [ ] improve the behavior when the signal is intermittent (neverstew mentioned this)\n- [ ] make it one click to branch off like old jp townie demos\n- [ ] opentownie as a pr bot\n- [ ] give it the ability to see its own client-side and server-side logs by building a middleware that shoves them into a SQL light database date and then give it a tool to access them\n- [ ] do a browser use or screenshot thing to give it access to its own visual output\n- [ ] Have it default to creating a new branch off main\n- [ ] A way to upload docs, by URL? A mini site to recursively crawl docs and markdownify?\n- [ ] Give it a replace_file command (instead of delete & create)?\n- [ ] Add other LLMs ie Gemini, Deepseek, o3-mini, etc. Figure out how to get a text-editing to work in an LLM agnostic way\n- [x] Add a \"view source\" / \"send me a PR\" link\n- [x] Show the HTTP preview in second column if there is one (and let the user pick which one to preview in the iframe)\n- [x] Figure out a convention to teach in the anthropic prompt mod where the LLM always checks the readme for the scope (if not provided) and keeps it up to take with every change\n- [x] Ability to create new projects from the interface\n- [x] Figure out why OpenTownie can't create HTTP vals. Maybe give it a seperate tool for it?\n- [x] ensure line numbers are in the files added in the context window\n- [x] Make it clearer visually in the UI when tool calls fail\n- [x] Add to the opentownie prompt that it doens't need to create directories, it should just create files in directories by specifying their path, and we'll make sure the directory gets created. We can also potentially catch when the path of a file to create ends in / and make that a no-op.\n- [x] Remove the \"thinking...\" widget next to the send button\n- [x] Refactor /backend/index.ts into multiple files\n- [x] Format the JSON inside the tool-calls as pretty markdown\n - [x] Think as normal markdown\n - [x] File write as a code embed\n - [x] str_replace as a diff view\n- [x] make image drop area invisible and bigger\n- [x] Give it all the code (except maybe .txt files) as initial context (like cursor sonnet max)\n- [x] I seem to have lost the delete file tool and instructions, try to find them back in history or re-create?\n- [x] Show reasoning in a detail\n- [x] Consider asking it to write the minimum code possible\n- [x] Add caching (post in the vercel ai discussion about how it's not working)\n- [x] For login, have a button that reloads the page\n- [x] Start a timer for messages\n- [x] Add more indicators that it's \"still working\"\n- [x] Require users supply their own Anthropic token?\n- [x] Add cost indications on messages\n- [x] Add a bell noise when the message is done to let us know\n- [x] Launch!\n- [x] Let it select the branch name from a dropdown\n\n\n\n\n\n",[],[364],"bc1aca54-370e-11f0-a274-9e149126039e","README.md","5c23df62-e297-4201-8e7c-ff663dad8fff",["D",1747919687297],"# OpenTownie\n\nOpenTownie is an AI-powered development assistant that lets you edit Val Town projects using Claude 3.7 Sonnet. It provides a seamless interface for discussing your code with Claude AI, which can directly view and modify files in your Val Town projects.\n\n## Features\nIt uses agentic tool-calling, taking many read, write, and thinking steps autonomously when carrying out your instructions.\n\n- **AI-Assisted Editing**: Chat with Claude 3.7 Sonnet about your code and let it make changes directly to your project files\n- **File Browser**: Select specific files to include in the context window for more focused AI assistance\n- **Branch Management**: View, select, and create branches without leaving the app\n- **Cost Tracking**: See estimated API usage costs for each interaction\n- **Sound Notifications**: Get alerted when Claude finishes responding\n- **Mobile-Friendly**: Works on both desktop and mobile devices\n- **Usage Dashboard**: Monitor API usage and inference calls with detailed analytics\n\n## How It Works\n\n1. **Login**: Authenticate with your Val Town API token and Anthropic API key\n2. **Select a Project**: Choose which Val Town project you want to work on\n3. **Select Files**: Browse your project files and select which ones to include in the context window\n4. **Chat with Claude**: Describe what you want to build or modify, and Claude will help implement it\n5. **Branch Management**: Create and switch between branches to organize your development work\n\n## Getting Started\n\n### Prerequisites\n\n- A Val Town account with API access\n- An Anthropic API key (Claude 3.7 Sonnet)\n\n### Setup\n\n1. Visit the OpenTownie app\n2. Enter your Val Town API token (with `projects:write` and `users:read` permissions)\n3. Enter your Anthropic API key\n4. Click \"Login\" to access your projects\n\n## Usage Tips\n\n- **Be Specific**: When asking Claude to make changes, be as specific as possible about what you want\n- **Include Context**: Select relevant files to give Claude the context it needs\n- **Create Branches**: Create a new branch before making significant changes to avoid affecting your main code\n- **Review Changes**: Always review Claude's changes before merging them into your main branch\n- **Iterative Development**: Break down complex tasks into smaller steps for better results\n\n## Technical Details\n\nOpenTownie is built with:\n- React frontend with TypeScript\n- React Router\n- Hono API server backend\n- Web Audio API for sound notifications\n- AI SDK for Claude integration\n\nThe application proxies requests to the Anthropic API and Val Town API, allowing Claude to view and edit your project files directly.\n\n## Privacy & Security\n\n- Your Val Town API token and Anthropic API key are stored locally in your browser\n- No data is stored on our servers\n- All communication with the APIs is done directly from your browser\n",[],[371],"bc1ac914-370e-11f0-a274-9e149126039e",".vtignore","3eab6c6a-11df-4a10-9689-0ac8089cf8ee",["D",1747919687297],".git\n.DS_Store\nnode_modules\nvendor\n*.swp\n\n",[],[378],"bc1abee2-370e-11f0-a274-9e149126039e",".cursorrules","ae7fcc78-62a6-4367-83d8-e88d26868c9e",["D",1747919687297],"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: `

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- **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- Do NOT use Hono serveStatic middleware\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/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\n6. **Hono Peculiarities:**\n - NEVER EVER write this line: `import { serveStatic } from 'https://esm.sh/hono@3.11.7/middleware';`\n - Instead use: `import { readFile, serveFile } from \"https://esm.town/v/std/utils/index.ts\";`\n - NEVER EVER write this line: `import { cors } from \"https://esm.sh/@hono/cors@0.0.6\";`. \n - Val Town automatically handles CORS.",[],[399,392],"prompts","bc1ab26c-370e-11f0-a274-9e149126039e","open_townie_prompt_additions.txt","89bf0040-ccdc-4790-8f64-cb071fd4383b",["D",1747919687297],"Read files from the base directory / directly, not /repo/.\n\nWhen trying to understand the directory, first read README.md.\nWhenever you make a change to the code, \nbe sure to keep the README.md up to date unless the user asks you not to.\n\nYou can implicitly create directories, by creating files within the directories. For example, if you wanted to create `/foo/bar/baz.ts`, \nbut the foo and bar directories did not exist, you could still use the file editor tool to create /foo/bar/baz.ts, and trust that the \n`/foo/` and `/foo/bar/` directories will be created for you automatically.\n\nDefault to using str_replace in smaller chunks wherever possible. \nIf you're making extensive edits to a file, replace the file with the replace file tool.\n\nWhen files are provided in user messages under \"# Selected Project Files\", DO NOT use tools to re-read these files. \nTrust that these files are the most up-to-date versions and work with the content as provided in the message.\nOnly use the file editing tools to read files that haven't been shared with you yet or to make changes to files.\n\nThink carefully and only action the specific task you are given with the most concise and elegant\nsolution that changes as little code as possible.\n\nUse your 'fetch' tool to debug HTTP vals making requests to them and examining the responses.\n\nBe sure to use your thinking tool before using any other tools.",[],[399,401],"bc1abd8e-370e-11f0-a274-9e149126039e",["D",1747919687297],[339,340],[399],["D",1747919687297],[],[18,91],["D",1747919687297],[],[18,104],["D",1747919687297],[],[18,97],"bc1a9958-370e-11f0-a274-9e149126039e","soundEffects.ts","6ad66c7a-eeed-4c2a-8ca8-7149555a6471",["D",1747919687297],"/**\n * Sound effects utility functions for the application\n */\n\n/**\n * Plays a bell sound notification using the Web Audio API\n * @returns A Promise that resolves when the sound has started playing\n */\nexport function playBellSound(): Promise {\n return new Promise((resolve) => {\n try {\n // Create audio context\n const AudioContext = window.AudioContext || (window as any).webkitAudioContext;\n if (!AudioContext) {\n console.warn(\"Web Audio API not supported in this browser\");\n resolve();\n return;\n }\n \n const audioCtx = new AudioContext();\n const masterGain = audioCtx.createGain();\n masterGain.connect(audioCtx.destination);\n \n // Bell frequency ratios (fundamental and overtones)\n const ratios = [1, 2, 2.4, 3, 4, 5.4];\n const baseFreq = 440; // Fundamental frequency\n \n // Create and connect oscillators for each frequency component\n ratios.forEach((ratio, i) => {\n const osc = audioCtx.createOscillator();\n const gain = audioCtx.createGain();\n \n // Connect this oscillator chain\n osc.connect(gain);\n gain.connect(masterGain);\n \n // Set frequency based on ratio\n osc.frequency.value = baseFreq * ratio;\n \n // Amplitude decreases for higher overtones\n const volume = 0.2 / (i + 1);\n \n // Set envelope\n const now = audioCtx.currentTime;\n gain.gain.setValueAtTime(0, now);\n gain.gain.linearRampToValueAtTime(volume, now + 0.01);\n \n // Different decay times for different harmonics\n const decayTime = 1.0 + (i * 0.3);\n gain.gain.exponentialRampToValueAtTime(0.001, now + decayTime);\n \n // Start and stop\n osc.start(now);\n osc.stop(now + decayTime);\n });\n \n // Resolve the promise after a short delay to ensure sound has started\n setTimeout(resolve, 50);\n } catch (error) {\n console.error(\"Error playing bell sound:\", error);\n resolve(); // Resolve anyway to prevent hanging promises\n }\n });\n}\n\n/**\n * Plays a simple notification sound using the Web Audio API\n * This is a simpler, shorter bell sound\n * @returns A Promise that resolves when the sound has started playing\n */\nexport function playSimpleNotification(): Promise {\n return new Promise((resolve) => {\n try {\n // Create audio context\n const AudioContext = window.AudioContext || (window as any).webkitAudioContext;\n if (!AudioContext) {\n console.warn(\"Web Audio API not supported in this browser\");\n resolve();\n return;\n }\n \n const audioCtx = new AudioContext();\n \n // Create oscillator (sound generator)\n const oscillator = audioCtx.createOscillator();\n oscillator.type = 'sine';\n oscillator.frequency.value = 900;\n \n // Create gain node for volume control\n const gainNode = audioCtx.createGain();\n \n // Connect the audio nodes\n oscillator.connect(gainNode);\n gainNode.connect(audioCtx.destination);\n \n // Get current time reference\n const now = audioCtx.currentTime;\n \n // Set volume envelope for bell-like sound\n gainNode.gain.setValueAtTime(0, now);\n gainNode.gain.linearRampToValueAtTime(0.3, now + 0.01);\n gainNode.gain.exponentialRampToValueAtTime(0.001, now + 0.5);\n \n // Start and stop the sound\n oscillator.start(now);\n oscillator.stop(now + 0.5);\n \n // Resolve the promise after a short delay\n setTimeout(resolve, 50);\n } catch (error) {\n console.error(\"Error playing notification sound:\", error);\n resolve(); // Resolve anyway to prevent hanging promises\n }\n });\n}",[],[18,79,421],"bc1a96c4-370e-11f0-a274-9e149126039e","images.ts","62201e5f-c454-4252-baee-01aa1ae9e44e",["D",1747919687297],"\nexport const PROMPT_IMAGE_LIMIT = 5;\n\nexport const processFiles = async (files: File[], images: (string | null)[], setImages: (images: (string | null)[]) => void) => {\n const imageFiles = files.filter(file => file.type.startsWith('image/'));\n const filesToProcess = imageFiles.slice(0, PROMPT_IMAGE_LIMIT - images.filter(Boolean).length);\n\n if (filesToProcess.length === 0) return;\n\n const newImages = [...images, ...Array(filesToProcess.length).fill(null)];\n setImages(newImages);\n\n const processedImages = await Promise.all(\n filesToProcess.map(async (file) => {\n return await readFileAsDataURL(file);\n })\n );\n\n const updatedImages = [...images];\n processedImages.forEach((dataUrl, index) => {\n updatedImages[images.length + index] = dataUrl;\n });\n\n setImages(updatedImages.slice(0, PROMPT_IMAGE_LIMIT));\n};\n\nconst readFileAsDataURL = (file: File): Promise => {\n return new Promise((resolve, reject) => {\n const reader = new FileReader();\n reader.onload = () => {\n const result = reader.result as string;\n console.log(\"Image loaded, size:\", result.length, \"bytes\");\n resolve(result);\n };\n reader.onerror = reject;\n reader.readAsDataURL(file);\n });\n};\n",[],[18,79,428],["D",1747919687297],[333,334],[18,79],"bc1a9296-370e-11f0-a274-9e149126039e","login.tsx","df5ef615-bef9-4303-856a-d34590da74be",["D",1747919687297],"/** @jsxImportSource npm:react@18.2.0 */\nimport { Hono } from \"npm:hono\";\nimport { renderToString } from \"npm:react-dom@18.2.0/server\";\nimport { TownieIcon } from \"../components/icons.tsx\";\nimport { ValTownLogo } from \"../components/ValTownLogo.tsx\";\nimport { Footer, SOURCE_URL } from \"../components/Footer.tsx\";\n\nconst app = new Hono();\n\nconst STYLESHEET = import.meta.resolve(\"../styles.css\").replace(\"esm.town\", \"juicy.town\");\n\n// server-side route for /login page\nfunction LoginRoute () {\n return (\n \n \n Townie\n \n \n \n \n \n

\n \n \n \n

\n \n Log in\n \n

\n \n

\n Townie:\n {\" \"}\n \n Edit and deploy TypeScript apps with AI\n \n

\n
\n \n Log in\n \n

\n 100% open source and built on Val Town\n
\n Agentic AI reads & edits vals using Claude 3.7 Sonnet\n
\n Support for multiple files, folders, & branches\n
\n Instant deployments, auto-scaling, logs, free custom subdomains\n
\n Works on mobile – prompt, build, and edit when you’re on the go\n

\n\n

\n \n \n );\n}\n\napp.get(\"*\", async (c) => {\n const html = renderToString();\n return c.html(\"\" + html);\n});\n\nexport default app;\n\n",[],[18,116,438],["D",1747919687297],[331],[18,116],"bc1a8d96-370e-11f0-a274-9e149126039e","useUser.tsx","2a74484b-cff9-4f8a-86fe-c1614d7ef7c3",["D",1747919687297],"import { useState, useEffect } from \"react\";\n\nconst USER_ENDPOINT = \"/api/user\";\n\nexport function useUser() {\n const [data, setData] = useState(null);\n const [loading, setLoading] = useState(true);\n const [error, setError] = useState(null);\n\n const fetchData = async () => {\n try {\n const userEndpoint = new URL(USER_ENDPOINT, window.location.origin);\n\n const res = await fetch(userEndpoint);\n const data = await res.json();\n if (!res.ok) {\n console.error(data);\n setError(data.error);\n setData(null);\n setLoading(false);\n return;\n }\n\n setData(data);\n setLoading(false);\n setError(null);\n } catch (e) {\n setError(e);\n setLoading(false);\n setData(null);\n }\n };\n\n useEffect(() => {\n fetchData();\n }, []);\n\n return { data, loading, error, refetch: fetchData };\n}\n",[],[18,110,448],"bc1a8aa8-370e-11f0-a274-9e149126039e","useUsageStats.ts","af6fc32e-7607-4454-a97c-7d3697e3b1e2",["D",1747919687297],"import { useEffect } from \"react\";\n\nexport function useUsageStats(messages: any[], usages: any[]) {\n useEffect(() => {\n if (!messages?.length) return;\n let last = messages.at(-1);\n let usage = usages ? usages[last.id] : null;\n if (usage) {\n const cost = calculateCost(usage);\n const stats = Object.entries(usage)\n .map(([key, val]) => `${key}: ${val}`)\n .join(\", \");\n console.log(`Estimated cost: ${cost} (${stats})`);\n }\n }, [messages, usages]);\n}\n\n// Calculate cost based on token usage\nconst calculateCost = (usage: any): string => {\n if (!usage || !usage.promptTokens) {\n return \"0.00\";\n }\n\n // Cost per million tokens\n const PROMPT_COST_PER_MILLION = 3;\n const COMPLETION_COST_PER_MILLION = 15;\n const CACHE_WRITE_COST_PER_MILLION = 3.75;\n const CACHE_READ_COST_PER_MILLION = 0.3;\n\n // Get reported values\n const promptTokens = usage.promptTokens || 0;\n const completionTokens = usage.completionTokens || 0;\n\n // Estimate cache read tokens\n // Approach: Estimate that 40% of prompt tokens come from cache read\n // This percentage can be adjusted based on observed patterns\n const estimatedCacheReadTokens = Math.round(promptTokens * 0.4);\n\n // Estimate cache write tokens\n // Approach: Assume cache write tokens are a portion of prompt tokens that aren't from cache read\n let estimatedCacheWriteTokens = 0;\n\n // If we have more prompt tokens than estimated cache read tokens,\n // estimate that 70% of the difference are cache write tokens\n estimatedCacheWriteTokens = Math.round(\n (promptTokens - estimatedCacheReadTokens) * 0.7\n );\n\n // Calculate costs\n // Subtract both cache read and write tokens from prompt tokens to avoid double counting\n const promptCost =\n ((promptTokens - estimatedCacheWriteTokens - estimatedCacheReadTokens) /\n 1000000) *\n PROMPT_COST_PER_MILLION;\n const completionCost =\n (completionTokens / 1000000) * COMPLETION_COST_PER_MILLION;\n const cacheWriteCost =\n (estimatedCacheWriteTokens / 1000000) * CACHE_WRITE_COST_PER_MILLION;\n const cacheReadCost =\n (estimatedCacheReadTokens / 1000000) * CACHE_READ_COST_PER_MILLION;\n\n // Total cost\n const totalCost =\n promptCost + completionCost + cacheWriteCost + cacheReadCost;\n\n // Add both estimated cache tokens to the usage object for transparency\n usage.estimatedCacheReadTokens = estimatedCacheReadTokens;\n usage.estimatedCacheWriteTokens = estimatedCacheWriteTokens;\n\n // Store the raw cost with more precision for debugging\n usage.rawCost = totalCost.toFixed(5);\n\n // Format to the nearest penny (2 decimal places)\n // If less than 1 penny, show \"< $0.01\"\n if (totalCost < 0.01) {\n return \"< $0.01\";\n } else {\n return \"$\" + totalCost.toFixed(2);\n }\n};\n",[],[18,110,455],"bc1a895e-370e-11f0-a274-9e149126039e","useScrollToBottom.tsx","aac83989-6819-47d6-b8c9-eee986296f23",["D",1747919687297],"import { useEffect, useRef } from 'https://esm.sh/react@18.2.0?dev';\n\n\n/**\n * A custom hook that automatically scrolls a container to the bottom\n * when its content changes, based on the specified dependencies.\n *\n * @param {Array} dependencies - Array of dependencies that trigger scrolling when changed\n * @returns {Object} An object containing containerRef and scrollToBottom function\n */\nexport function useScrollToBottomContainer(dependencies = []) {\n const containerRef = useRef(null);\n\n const scrollToBottom = () => {\n if (containerRef.current) {\n setTimeout(() => {\n containerRef.current.scrollTop = containerRef.current.scrollHeight;\n }, 0);\n }\n };\n\n useEffect(() => {\n scrollToBottom();\n }, dependencies);\n\n return { containerRef, scrollToBottom };\n}\n\n// body scroll version\nexport function useScrollToBottom(dependencies = []) {\n const bottomRef = useRef(null);\n\n const scrollToBottom = () => {\n if (bottomRef.current) {\n bottomRef.current.scrollIntoView({ behavior: 'smooth' });\n }\n };\n\n useEffect(() => {\n scrollToBottom();\n }, dependencies);\n\n return { bottomRef, scrollToBottom };\n}\n\n",[],[18,110,462],"bc1a87e2-370e-11f0-a274-9e149126039e","useProjects.tsx","ef1becb9-c40d-42af-8a42-7cf98043a18f",["D",1747919687297],"import { useState, useEffect } from \"react\";\n\nconst ENDPOINT = \"/api/projects-loader\";\n\nexport function useProjects() {\n const [data, setData] = useState(null);\n const [loading, setLoading] = useState(true);\n const [error, setError] = useState(null);\n\n const fetchData = async () => {\n try {\n const res = await fetch(ENDPOINT);\n const data = await res.json();\n if (!res.ok) {\n console.error(data);\n setError(data.error);\n setData(null);\n setLoading(false);\n return;\n }\n\n setData(data);\n setLoading(false);\n setError(null);\n } catch (e) {\n console.error(e);\n setData(null);\n setError(e);\n setLoading(false);\n }\n };\n\n useEffect(() => {\n fetchData();\n }, []);\n\n return { data, loading, error, refetch: fetchData };\n}\n",[],[18,110,469],"bc1a8666-370e-11f0-a274-9e149126039e","useProject.tsx","badd02f7-c033-4374-8b31-1e62e3637a30",["D",1747919687297],"import { useState, useEffect } from \"react\";\n\nconst PROJECT_ENDPOINT = \"/api/project\";\nconst FILES_ENDPOINT = \"/api/project-files\";\n\nexport function useProject(projectId: string, branchId?: string) {\n const [data, setData] = useState(null);\n const [loading, setLoading] = useState(true);\n const [error, setError] = useState(null);\n\n const fetchData = async () => {\n try {\n const projectEndpoint = new URL(PROJECT_ENDPOINT, window.location.origin);\n projectEndpoint.searchParams.append(\"projectId\", projectId);\n const filesEndpoint = new URL(FILES_ENDPOINT, window.location.origin);\n filesEndpoint.searchParams.append(\"projectId\", projectId);\n if (branchId) filesEndpoint.searchParams.append(\"branchId\", branchId);\n\n const { project } = await fetch(projectEndpoint).then((res) =>\n res.json()\n );\n const { files } = await fetch(filesEndpoint).then((res) => res.json());\n\n setData({ project, files });\n setLoading(false);\n setError(null);\n } catch (e) {\n setError(e);\n setLoading(false);\n setData(null);\n }\n };\n\n useEffect(() => {\n if (!projectId) return;\n fetchData();\n }, [projectId, branchId]);\n\n return { data, loading, error, refetch: fetchData };\n}\n",[],[18,110,476],"bc1a84c2-370e-11f0-a274-9e149126039e","useLoadingFavicon.ts","b361f961-0b0d-435f-839c-062f0da55338",["D",1747919687297],"import { useEffect } from \"react\";\n\nfunction setLoadingFavicon() {\n document.querySelector('link[rel=\"icon\"]').href = \"/favicon-loading.svg\";\n}\nfunction resetFavicon() {\n document.querySelector('link[rel=\"icon\"]').href = \"/favicon.svg\";\n}\n\nexport function useLoadingFavicon(loading: boolean) {\n useEffect(() => {\n if (loading) setLoadingFavicon();\n else resetFavicon();\n }, [loading]);\n}\n",[],[18,110,483],"bc1a8256-370e-11f0-a274-9e149126039e","useCreateProject.tsx","3b708717-6b0c-4b30-8677-fad6f4e3d9ed",["D",1747919687297],"import { useState, useEffect } from \"react\";\n\nconst ENDPOINT = \"/api/create-project\";\n\nexport function useCreateProject() {\n const [data, setData] = useState(null);\n const [loading, setLoading] = useState(false);\n const [error, setError] = useState(null);\n\n const createProject = async ({\n name,\n privacy,\n }: {\n name: string;\n privacy: \"public\" | \"unlisted\" | \"private\";\n }) => {\n setLoading(true);\n setData(null);\n setError(null);\n try {\n const res = await fetch(ENDPOINT, {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n name: name,\n privacy: privacy,\n }),\n });\n const data = await res.json();\n if (!res.ok) {\n console.error(data);\n setError(data.error ?? \"Failed to create project\");\n return data;\n }\n setData(data);\n setLoading(false);\n setError(null);\n return data;\n } catch (e) {\n console.error(e);\n setError(e);\n setLoading(false);\n setData(null);\n return e;\n }\n };\n\n return { data, loading, error, createProject };\n}\n",[],[18,110,490],"bc1a80e4-370e-11f0-a274-9e149126039e","useCreateBranch.tsx","f44e9b36-9f2e-4bbd-a697-3fac0409697b",["D",1747919687297],"import { useState, useEffect } from \"react\";\n\nconst ENDPOINT = \"/api/create-branch\";\n\nexport function useCreateBranch(projectId: string) {\n const [data, setData] = useState(null);\n const [loading, setLoading] = useState(false);\n const [error, setError] = useState(null);\n\n const createBranch = async ({ name }: { name: string }) => {\n setLoading(true);\n setData(null);\n setError(null);\n const res = await fetch(ENDPOINT, {\n method: \"POST\",\n body: JSON.stringify({\n projectId,\n branchName: name,\n }),\n });\n const data = await res.json();\n if (!res.ok) {\n setError(data.error ?? \"Failed to create branch\");\n return data;\n }\n setData(data); // todo error handling\n setLoading(false);\n setError(null);\n return data;\n };\n\n return { data, loading, error, createBranch };\n}\n",[],[18,110,497],"bc1a7e14-370e-11f0-a274-9e149126039e","useChatLogic.ts","c7c3b42d-7a9a-45c7-a7d1-2fd88c4526fb",["D",1747919687297],"import { useChat } from \"@ai-sdk/react\";\nimport React, { useCallback, useMemo, useRef, useState } from \"react\";\nimport { playBellSound } from \"../utils/soundEffects.ts\";\n\ninterface UseChatLogicProps {\n project: any;\n branchId: string | undefined;\n selectedFiles: string[];\n images: (string | null)[];\n soundEnabled: boolean;\n}\n\nexport function useChatLogic({\n project,\n branchId,\n // anthropicApiKey,\n // bearerToken,\n selectedFiles,\n images,\n soundEnabled,\n}: UseChatLogicProps) {\n const [usages, setUsages] = useState>({});\n const [messageEndTimes, setMessageEndTimes] = useState<\n Record\n >({});\n const customStopRef = useRef<(() => void) | null>(null);\n\n const {\n messages,\n error,\n input,\n handleInputChange,\n handleSubmit: originalHandleSubmit,\n stop,\n status,\n } = useChat({\n api: \"/api/send-message\",\n body: {\n project,\n branchId,\n selectedFiles,\n images: images\n .filter((img): img is string => {\n const isValid = typeof img === \"string\" && img.startsWith(\"data:\");\n if (!isValid && img !== null) {\n console.warn(\n \"Invalid image format:\",\n img?.substring(0, 50) + \"...\"\n );\n }\n return isValid;\n })\n .map((img) => ({ url: img })),\n },\n onFinish: (message, options) => {\n setUsages((prev) => ({\n ...prev,\n [message.id]: options.usage,\n }));\n\n setMessageEndTimes((prev) => ({\n ...prev,\n [message.id]: Date.now(),\n }));\n\n if (soundEnabled) {\n playBellSound().catch((error) => {\n console.log(\"Error playing bell sound:\", error);\n });\n }\n },\n });\n\n const running = status === \"streaming\" || status === \"submitted\";\n\n const pendingMessageId = useMemo(() => {\n if (!running) return null;\n const pendingMessages = messages.filter(\n (msg) => msg.role === \"assistant\" && !messageEndTimes[msg.id]\n );\n return pendingMessages.length > 0\n ? pendingMessages[pendingMessages.length - 1].id\n : null;\n }, [messages, messageEndTimes, running]);\n\n const handleStop = useCallback(() => {\n stop();\n\n if (pendingMessageId) {\n setMessageEndTimes((prev) => ({\n ...prev,\n [pendingMessageId]: Date.now(),\n }));\n\n if (soundEnabled) {\n playBellSound().catch((error) => {\n console.log(\"Error playing bell sound:\", error);\n });\n }\n }\n }, [stop, pendingMessageId, soundEnabled]);\n\n React.useEffect(() => {\n customStopRef.current = handleStop;\n }, [handleStop]);\n\n React.useEffect(() => {\n (window as any).customStopRef = customStopRef;\n }, []);\n\n return {\n messages,\n error,\n input,\n handleInputChange,\n handleSubmit: originalHandleSubmit,\n handleStop,\n running,\n usages,\n messageEndTimes,\n };\n}\n",[],[18,110,504],"bc1a7c84-370e-11f0-a274-9e149126039e","useBranches.tsx","f3af4e81-d48a-4a89-b44d-e98fd490c686",["D",1747919687297],"import { useState, useEffect } from \"react\";\n\nconst ENDPOINT = \"/api/project-branches\";\n\nexport function useBranches (projectId: string) {\n const [data, setData] = useState(null);\n const [loading, setLoading] = useState(true);\n\n const fetchData = async () => {\n const endpoint = new URL(ENDPOINT, window.location.origin);\n endpoint.searchParams.append(\"projectId\", projectId);\n\n const res = await fetch(endpoint)\n .then(res => res.json());\n setData(res.branches);\n setLoading(false);\n };\n\n useEffect(() => {\n if (!projectId) return;\n fetchData();\n }, [projectId]);\n\n return { data, loading, refetch: fetchData };\n}",[],[18,110,511],["D",1747919687297],[320,321,322,323,324,325,326,327,328,329],[18,110],"bc1a722a-370e-11f0-a274-9e149126039e","icons.tsx","49e17469-a53e-4708-bb95-e2627218ea28",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\n\nexport function TownieIcon({\n size = 24,\n color = \"currentColor\",\n className,\n circle,\n}: {\n size?: number;\n color?: string;\n className?: string;\n circle?: string;\n}) {\n return (\n \n {circle && (\n \n )}\n\n \n \n \n \n \n \n \n );\n}\n\nexport function Circle ({\n filled,\n}: {\n filled: boolean;\n}) {\n return (\n \n \n \n );\n}\n\nexport function Square ({\n size = 24,\n}: {\n size?: number;\n}) {\n return (\n \n \n \n );\n}\n\n// icons from https://lucide.dev\nexport function SquarePenIcon () {\n return (\n \n );\n}\n\nexport function FileCode2Icon () {\n return (\n \n );\n}\n\nexport function SparklesIcon () {\n return (\n \n );\n}\n\nexport function EyeIcon () {\n return (\n \n );\n}\n\nexport function ExternalLinkIcon () {\n return (\n \n );\n}\n\nexport function KeyRoundIcon () {\n return (\n \n );\n}\n\nexport function LockKeyholeIcon () {\n return (\n \n );\n}\n\nexport function PlusIcon () {\n return (\n \n );\n}\n\nexport function ArrowUpIcon () {\n return (\n \n );\n}\n\nexport function RefreshIcon ({ size = 24 }: { size: number }) {\n return (\n \n );\n}\n\nexport function XIcon ({ size = 24 }: {\n size?: number;\n}) {\n return (\n \n );\n}\n\nexport function VolumeOffIcon ({ size = 24 }) {\n return (\n \n );\n}\n\nexport function Volume2Icon ({ size = 24 }) {\n return (\n \n );\n}\n",[],[18,121,521],"bc1a6e7e-370e-11f0-a274-9e149126039e","ValTownLogo.tsx","815323ca-4b8b-452f-a328-9d50bac590b3",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\n\nexport function ValTownLogo () {\n return (\n \n \n \n \n );\n}\n",[],[18,121,528],"bc1a6c08-370e-11f0-a274-9e149126039e","ProjectsRoute.tsx","722b2ac2-e807-487a-ace2-8ec2e983ad99",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { Link } from \"react-router\";\nimport { useProjects } from \"../hooks/useProjects.tsx\";\nimport { Loading } from \"./Loading.tsx\";\nimport { Footer } from \"./Footer.tsx\";\n\nexport function ProjectsRoute() {\n const projects = useProjects();\n\n return (\n

Your vals

\n Create new val\n

\n {projects.loading && }\n {projects.error && (\n

\n Error: {projects.error.message}\n

{JSON.stringify(projects.error.stack, null, 2)}

\n )}\n {projects.data?.projects?.map((project) => (\n \n \n \n ))}\n

\n );\n}\n\nfunction ProjectCard({\n user,\n project,\n}: {\n user: {\n username: string;\n profileImageUrl: string | null;\n };\n project: any;\n}) {\n return (\n

\n {project.imageUrl ? (\n

\n ) : user.profileImageUrl ? (\n

\n \n

\n ) : (\n

\n )}\n

{user.username}

\n {project.name}\n \n

{project.description}

\n );\n}\n\nfunction Privacy({ privacy }: { privacy: \"public\" | \"unlisted\" | \"private\" }) {\n switch (privacy) {\n case \"public\":\n return null; //

public

;\n case \"unlisted\":\n return

(Unlisted)

;\n case \"private\":\n return

(Private)

;\n }\n}\n",[],[18,121,535],"bc1a68de-370e-11f0-a274-9e149126039e","PreviewFrame.tsx","cda2b2a3-d6af-4f1e-b3fb-bf8a2ce5d95b",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useEffect, useRef, useState } from \"react\";\nimport { RefreshIcon } from \"./icons.tsx\";\n\ninterface PreviewProps {\n files: any[];\n messages: any[];\n running: boolean;\n}\n\nexport function PreviewFrame(props: PreviewProps) {\n const previewKey = useRef(\"new-chat\");\n const [count, setCount] = useState(0);\n\n useEffect(() => {\n if (props.running) return;\n previewKey.current = props.messages?.at(-1)?.id ?? \"new-chat\";\n }, [props.running, props.messages]);\n\n const { url, htmlVals, index, setIndex } = usePreviewURL(props);\n const [pathname, setPathname] = useState(\"\");\n\n const reload = () => {\n setCount(c => c + 1);\n previewKey.current += count;\n };\n\n if (!url) {\n return (\n

\n No HTML files to preview\n

\n );\n }\n\n return (\n <>\n \n

\n \n

\n \n \n \n \n \n Open >>\n \n

\n \n );\n}\n\nconst TSRE = /\\/$/;\n\nfunction URLInput({ url, pathname, setPathname }) {\n const prefix = url.replace(TSRE, \"\");\n return (\n {\n const raw = e.target.value;\n if (!raw.includes(prefix)) return;\n let next = raw.replace(prefix, \"\").replace(/^\\//, \"\");\n setPathname(next);\n }}\n />\n );\n}\n\nfunction PreviewSelect({ index, setIndex, files }) {\n return (\n

\n \n Preview file\n \n {\n setIndex(Number(e.target.value));\n }}\n >\n \n {files?.map((file, i) => (\n \n {file.name}\n \n ))}\n \n

\n );\n}\n\nfunction usePreviewURL({ files }) {\n const [index, setIndex] = useState(0);\n const htmlVals = files?.filter(file => file.links?.endpoint !== undefined);\n\n const url = htmlVals?.length ? htmlVals[index]?.links.endpoint : null;\n\n return {\n index,\n setIndex,\n url,\n htmlVals,\n };\n}",[],[18,121,542],"bc1a673a-370e-11f0-a274-9e149126039e","NotFoundRoute.tsx","6c07da4e-64ad-4c1d-bf4d-b5f02ef8b505",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\n\nexport function NotFoundRoute () {\n return (\n

Page not found

\n );\n}\n",[],[18,121,549],"bc1a6398-370e-11f0-a274-9e149126039e","NewProjectRoute.tsx","90305dde-e989-4892-bc6b-83908383e6eb",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useState } from \"react\";\nimport { useNavigate } from \"react-router\";\nimport { useCreateProject } from \"../hooks/useCreateProject.tsx\";\n\nexport function NewProjectRoute () {\n const [name, setName] = useState(\"\");\n const [privacy, setPrivacy] = useState(\"public\");\n const navigate = useNavigate();\n\n const { data, error, createProject } = useCreateProject();\n\n const handleSubmit = (e) => {\n e.preventDefault();\n if (!name) return;\n\n createProject({ name, privacy })\n .then((_data) => {\n if (_data.error) return;\n navigate(`/chat/${_data.project.id}`);\n });\n };\n\n return (\n

Create new val

\n {error && (\n

\n Error: {JSON.stringify(error, null, 2)}\n

\n )}\n

\n );\n}\n\nconst privacyOptions = [\n { value: \"public\", label: \"Public\" },\n { value: \"unlisted\", label: \"Unlisted\" },\n { value: \"private\", label: \"Private\" },\n]\n\nfunction PrivacyRadios ({\n value,\n onChange,\n}: {\n value: string;\n onChange: (value: string) => void;\n}) {\n\n return (\n <>\n {privacyOptions.map(opt => (\n \n onChange(opt.value)}\n />\n {opt.label}\n \n )}\n \n );\n}\n",[],[18,121,556],"bc1a5ad8-370e-11f0-a274-9e149126039e","Messages.tsx","a2fa8c4f-71af-45f4-b01b-be4e33ef68c1",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useState, createContext, useContext } from \"react\";\nimport ReactMarkdown from \"react-markdown\";\n\nimport { Loading } from \"./Loading.tsx\";\nimport { TownieIcon } from \"./icons.tsx\";\nimport { MessageTimer } from \"./MessageTimer.tsx\";\nimport { InlinePreview } from \"./InlinePreview.tsx\";\nimport { useScrollToBottom } from \"../hooks/useScrollToBottom.tsx\";\n\ntype Message = {\n id: string;\n role: \"user\"|\"assistant;\n parts: any[];\n createdAt?: number;\n};\n\nexport const MessageContext = createContext({\n openSummaries: {},\n setOpenSummaries: () => {},\n id: null,\n parts: [],\n});\n\nexport function Messages ({\n messages,\n messageEndTimes,\n running,\n}: {\n messages: Message[];\n messageEndTimes: Record;\n running: boolean;\n}) {\n const { bottomRef } = useScrollToBottom([ messages.length ]);\n const [openSummaries, setOpenSummaries] = useState({});\n const tail = messages.at(-1)?.id;\n\n return (\n \n

\n {messages.map(message => (\n \n ))}\n

\n \n );\n}\n\nfunction Message ({\n message,\n messageEndTimes,\n running,\n}: {\n message: Message;\n messageEndTimes: Record;\n running: boolean;\n}) {\n const context = useContext(MessageContext);\n if (message.role === \"user\") return ;\n\n return (\n \n \n \n );\n}\n\nfunction AssistantMessage ({ message, messageEndTimes, running }: {\n message: Message;\n messageEndTimes: Record;\n running: boolean;\n}) {\n return (\n <>\n {message.parts.map((part, i) => )}\n {!messageEndTimes[message.id] && running && }\n\n {message.createdAt && (\n \n )}\n \n );\n}\n\nfunction Part ({ part }) {\n switch (part.type) {\n case \"text\":\n return ;\n case \"tool-invocation\":\n return ;\n case \"step-start\":\n return null; // ;\n default:\n return (\n

{JSON.stringify(part, null,  2)}

\n );\n }\n}\n\nfunction TextPart ({ part }) {\n return (\n \n {part.text}\n \n );\n}\n\nfunction Details ({ open, onClick, children, summary }) {\n return (\n \n

\n \n {summary}\n

\n {children}\n

\n \n );\n}\n\nfunction ToolPart ({ part }) {\n const { openSummaries, setOpenSummaries } = useContext(MessageContext);\n const {\n toolName,\n args,\n result,\n toolCallId,\n } = part.toolInvocation;\n\n switch (toolName) {\n case \"think\":\n return (\n {\n e.preventDefault();\n setOpenSummaries(prev => ({\n ...prev,\n [toolCallId]: !prev[toolCallId],\n }));\n }}\n >\n {args?.thought}\n \n );\n case \"str_replace_editor\":\n return \n case \"delete_file\":\n return (\n

\n \n

delete:

{args?.path}

\n );\n case \"change_val_type\":\n return (\n <>\n

\n \n

change type:

{args?.type}

{args?.path}

\n \n \n );\n case \"overwrite_file\":\n return (\n <>\n {\n e.preventDefault();\n setOpenSummaries(prev => ({\n ...prev,\n [toolCallId]: !prev[toolCallId],\n }));\n }}\n summary={(\n <>\n

overwrite:

{args?.path}

\n \n )}>\n

{args?.content}

\n \n \n \n );\n case \"fetch\":\n return (\n {\n e.preventDefault();\n setOpenSummaries(prev => ({\n ...prev,\n [toolCallId]: !prev[toolCallId],\n }));\n }}\n summary={(\n <>\n

fetch:

{args?.valPath}

{args?.urlPath || \"/\"}

\n \n )}>\n {result?.type === \"success\" ? (\n

\n = 200 && result.data.status < 300 ? 'success' : \n result.data.status >= 300 && result.data.status < 400 ? 'redirect' : \n result.data.status >= 400 && result.data.status < 500 ? 'client-error' : 'server-error'}`}>\n {result.data.status} {result.data.statusText}\n \n {result.data.responseTime}ms\n

Headers

{JSON.stringify(result.data.headers, null, 2)}

Response Body

\n                  {typeof result.data.body === 'object' \n                    ? JSON.stringify(result.data.body, null, 2) \n                    : result.data.body}\n

\n ) : (\n

Error

{result?.message || \"Unknown error\"}

\n )}\n \n );\n default:\n return (\n

{JSON.stringify(part, null,  2)}

\n );\n }\n}\n\nfunction EditorToolPart ({ part }) {\n const { openSummaries, setOpenSummaries } = useContext(MessageContext);\n const {\n toolName,\n args,\n result,\n toolCallId,\n } = part.toolInvocation;\n\n let body = (\n

\n      {JSON.stringify(part.toolInvocation)}\n

\n );\n switch (args.command) {\n case \"create\":\n body =

{args.file_text}

;\n break;\n case \"view\":\n body =

{result?.data}

;\n break;\n case \"str_replace\":\n body = (\n

{args.old_str}

{args.new_str}

\n );\n break;\n case \"insert\":\n body = (\n

{args.insert_line}

{args.new_str}

\n );\n break;\n case \"undo_edit\":\n // not implemented\n break;\n }\n\n return (\n <>\n {\n e.preventDefault();\n setOpenSummaries(prev => ({\n ...prev,\n [toolCallId]: !prev[toolCallId],\n }));\n }}\n summary={(\n <>\n

{args?.command}:

{args?.path}

\n \n )}>\n {body}\n \n \n \n );\n\n}\n\nfunction UserMessage ({ message }: {\n message: Message;\n}) {\n return (\n <>\n {message.parts.map((part, i) => part.type === \"text\" ? (\n

\n \n {part.text}\n \n

\n ) : (\n \n )}\n \n );\n}",[],[18,121,563],"bc1a58d0-370e-11f0-a274-9e149126039e","MessageTimer.tsx","a704e138-ef04-44e8-8b3e-d82ab1f7d43c",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useEffect, useState } from \"react\";\n\nconst formatTime = (ms: number): string => {\n const seconds = Math.floor(ms / 1000);\n const minutes = Math.floor(seconds / 60);\n const remainingSeconds = seconds % 60;\n return `${minutes}:${remainingSeconds.toString().padStart(2, \"0\")}`;\n};\n\nexport const MessageTimer = ({\n createdAt,\n endTime,\n isStopped,\n}: {\n createdAt: number;\n endTime?: number;\n isStopped?: boolean;\n}) => {\n const [currentTime, setCurrentTime] = useState(Date.now());\n\n useEffect(() => {\n if (endTime !== undefined || isStopped) return;\n const interval = setInterval(() => {\n setCurrentTime(Date.now());\n }, 100);\n\n return () => clearInterval(interval);\n }, [endTime, isStopped]);\n\n const elapsedTime =\n endTime !== undefined ? endTime - createdAt : currentTime - createdAt;\n\n return

Time: {formatTime(elapsedTime)}

;\n};\n",[],[18,121,570],"bc1a572c-370e-11f0-a274-9e149126039e","Loading.tsx","7b2a147d-d39d-41b4-b1cd-81c98422b6cb",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\n\nexport function Loading () {\n return (\n

\n loading…\n

\n );\n}\n",[],[18,121,577],"bc1a55b0-370e-11f0-a274-9e149126039e","LayoutRoute.tsx","59a1ebc6-d5f8-443d-8015-c69ab4a24301",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { Outlet } from \"react-router\";\nimport { Header } from \"./Header.tsx\";\n\nexport function LayoutRoute() {\n return (\n <>\n

\n \n \n );\n}\n",[],[18,121,584],"bc1a5092-370e-11f0-a274-9e149126039e","InputBox.tsx","dc888dc4-f12b-4dc5-aa23-39e8890ed671",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useRef, useState, useEffect } from \"react\";\nimport { PlusIcon, ArrowUpIcon, Square, XIcon } from \"./icons.tsx\";\nimport { processFiles } from \"../utils/images.ts\";\n\nexport function InputBox ({\n value,\n onChange,\n onSubmit,\n onCancel,\n running,\n error,\n images,\n setImages,\n} : {\n value: string;\n onChange: (e: React.KeyboardEvent) => void;\n onSubmit: (event: any) => void;\n onCancel: () => void;\n running: boolean;\n error: any;\n images: (string|null)[];\n setImages: (images: (string|null)[]) => void;\n}) {\n const form = useRef(null);\n\n if (error) console.error(error);\n\n const onKeyDown = (e) => {\n if (e.key === \"Enter\" && !e.shiftKey) {\n if (running) return;\n e.preventDefault();\n form.current?.dispatchEvent(new Event('submit', {\n bubbles: true,\n cancelable: true\n }));\n }\n }\n\n return (\n

\n \n \n Prompt\n \n {\n onChange(e)\n }}\n onKeyDown={onKeyDown}\n autoFocus={true}\n />\n \n

\n \n

\n {running && (\n \n \n \n )}\n {!running && (\n \n \n \n )}\n

\n \n

\n );\n}\n\nexport function ImageDropContainer ({\n images,\n setImages,\n running,\n children,\n}: {\n images: (string|null)[];\n setImages: (images: (string|null)[]) => void;\n running: boolean;\n children: React.ReactNode;\n}) {\n const dragging = useImageDrop({ images, setImages, running });\n\n return (\n <>\n {children}\n {dragging && (\n

\n Drop images here to upload\n

\n )}\n \n );\n}\n\nexport function useImageDrop ({ images, setImages, running }: {\n images: (string|null)[];\n setImages(images: (string|null)[]) => void;\n running: boolean;\n}) {\n const [dragging, setDragging] = useState(false);\n\n const onDragEnter = (e: React.DragEvent) => {\n e.preventDefault();\n if (!e.dataTransfer?.types.includes('Files')) return;\n setDragging(true);\n }\n\n const onDragLeave = (e:React.DragEvent) => {\n e.preventDefault();\n if (!e.relatedTarget) {\n setDragging(false);\n }\n }\n\n const onDragOver = (e:React.DragEvent) => {\n e.preventDefault();\n }\n\n const onDrop = (e:React.DragEvent) => {\n e.preventDefault();\n setDragging(false);\n if (e.dataTransfer?.files && !running) {\n processFiles(Array.from(e.dataTransfer.files), images, setImages);\n }\n }\n\n useEffect(() => {\n document.addEventListener(\"dragenter\", onDragEnter);\n document.addEventListener(\"dragleave\", onDragLeave);\n document.addEventListener(\"dragover\", onDragOver);\n document.addEventListener(\"drop\", onDrop);\n\n return () => {\n document.removeEventListener(\"dragenter\", onDragEnter);\n document.removeEventListener(\"dragleave\", onDragLeave);\n document.removeEventListener(\"dragover\", onDragOver);\n document.removeEventListener(\"drop\", onDrop);\n }\n }, []);\n\n return dragging;\n}\n\nfunction ImageRow ({ images, setImages }: {\n images: (string|null)[];\n setImages: (images: (string|null)[]) => void;\n}) {\n return (\n

\n {images.map((image, i) => (\n {\n setImages([\n ...images.slice(0, i),\n ...images.slice(i + 1),\n ]);\n }}\n />\n ))}\n

\n );\n}\n\nfunction Thumbnail ({ image, onRemove }: {\n image: string|null;\n onRemove: () => void;\n}) {\n if (!image) return null;\n\n return (\n

\n \n \n \n \n

\n );\n}\n\nfunction UploadButton ({\n images,\n setImages,\n disabled,\n}: {\n images: (string|null)[];\n setImages: (images: (string|null)[]) => void;\n disabled: boolean;\n}) {\n const ref = useRef(null);\n\n return (\n

\n {\n ref.current?.click();\n }}\n className=\"icon-button\">\n \n

\n Upload image\n

\n \n {\n if (e.target.files) {\n processFiles(Array.from(e.target.files), images, setImages);\n }\n }}\n />\n

\n );\n}\n",[],[18,121,591],"bc1a4d86-370e-11f0-a274-9e149126039e","InlinePreview.tsx","3bd88619-d76e-45b5-aa1f-464ce40a4780",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useContext } from \"react\";\nimport { ProjectContext } from \"./ChatRouteSingleColumn.tsx\";\nimport { MessageContext } from \"./Messages.tsx\";\n\nexport function InlinePreview ({ part }) {\n const project = useContext(ProjectContext);\n const message = useContext(MessageContext);\n const {\n toolCallId,\n toolName,\n args,\n result,\n } = part.toolInvocation;\n\n if (!project.files?.length) return null;\n if (!args.path) return null;\n\n const path = args.path.replace(/^\\//, \"\");\n const file = project.files.find(f => f.path === path);\n if (!file) return null;\n if (!file.links.endpoint) return null;\n\n const lastFileToolCall = message?.parts\n .filter(p => p.toolInvocation)\n .map(p => p.toolInvocation)\n .findLast(t => t.args.path === args.path);\n const showPreview = message?.tail === message?.id && lastFileToolCall.toolCallId === toolCallId;\n\n return (\n

\n        {args.command} {file.path} {file.links.endpoint}\n

\n \n {file.path}\n \n

\n \n Open >>\n \n

\n {showPreview ? (\n \n ) : (\n null\n /* use screenshots when they support historical versions\n \n */\n )}\n

\n );\n}\n\n/*\nconst SCREENSHOT_URL = \"https://screenshots.valtown.net/screenshot.png\";\n\nfunction getScreenshotURL ({\n version,\n endpoint,\n width = 1024,\n height = 768,\n}) {\n const url = new URL(SCREENSHOT_URL);\n url.searchParams.append(\"width\", width);\n url.searchParams.append(\"height\", height);\n url.searchParams.append(\"version\", version);\n url.searchParams.append(\"url\", endpoint);\n return url;\n}\n*/\n",[],[18,121,598],"bc1a491c-370e-11f0-a274-9e149126039e","Home.tsx","4a110f2a-fdbc-4b80-9296-ef6491183c18",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { Link } from \"react-router\";\nimport React from \"react\";\nimport {\n EyeIcon,\n FileCode2Icon,\n SparklesIcon,\n SquarePenIcon,\n} from \"./icons.tsx\";\n\nexport function Home() {\n return (\n

Welcome to Townie

Your AI-powered development assistant for Val Town projects

\n \n Get Started\n \n

\n\n

What is Townie?

\n Townie is an AI-powered development assistant that lets you edit Val\n Town projects using Claude 3.7 Sonnet. It provides a seamless\n interface for discussing your code with Claude AI, which can directly\n view and modify files in your Val Town projects.\n

\n It uses agentic tool-calling, taking many read, write, and thinking\n steps autonomously when carrying out your instructions.\n

\n\n

Getting Started

\n Login with your Val Town API token (with projects:read,\n projects:write, user:read permissions)\n
Select a project to work on
Chat with Claude about your code
Watch as it makes changes directly to your files

\n\n

\n \n

AI-Assisted Editing

Chat with Claude about your code and let it make changes

\n\n

\n \n

File Browser

Select specific files to include in the context window

\n\n

\n \n

Branch Management

View, select, and create branches without leaving the app

\n\n

\n \n

Cost Tracking

See estimated API usage costs for each interaction

\n\n

Technical Details

Townie is built with:

React frontend with TypeScript
Hono API server backend
Web Audio API for sound notifications
AI SDK for Claude integration

\n The application proxies requests to the Anthropic API and Val Town\n API, allowing Claude to view and edit your project files directly.\n

\n \n View Source\n \n

\n );\n}\n",[],[18,121,605],"bc1a46ce-370e-11f0-a274-9e149126039e","Header.tsx","83f456f3-2477-408f-8fe7-e7838ccf666f",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useEffect, useContext } from \"react\";\nimport { Link, useNavigate } from \"react-router\";\nimport { useLocalStorage } from \"react-use\";\nimport { Circle, Volume2Icon, VolumeOffIcon } from \"./icons.tsx\";\nimport { AppContext } from \"./App.tsx\";\nimport { ValTownLogo } from \"./ValTownLogo.tsx\";\n\nexport function Header () {\n const navigate = useNavigate();\n\n return (\n

\n \n \n \n \n Townie\n \n

\n \n \n \n

\n );\n}\n\nfunction LogOut () {\n const { user } = useContext(AppContext);\n return (\n <>\n \n {user?.profileImageUrl && (\n \n )}\n \n );\n}\n\nfunction DarkButton () {\n const [dark, setDark] = useLocalStorage(\"DARK_MODE\", false);\n const toggle = () => {\n document.body.classList.toggle(\"dark\");\n setDark(!dark);\n }\n\n useEffect(() => {\n const cl = document.body.classList;\n if (dark && !cl.contains(\"dark\")) {\n cl.add(\"dark\");\n }\n }, []);\n\n return (\n \n \n \n );\n}\n\nfunction AudioButton () {\n const {audio, setAudio} = useContext(AppContext);\n\n const toggle = () => {\n setAudio(!audio);\n }\n\n return (\n \n {audio ? (\n \n ) : (\n \n )}\n \n );\n}\n",[],[18,121,612],"bc1a457a-370e-11f0-a274-9e149126039e","Footer.tsx","3c8025a7-fce2-48d1-a865-6ad94bd9d00b",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nexport const SOURCE_URL = \"https://val.town/x/valdottown/Townie\";\n\nexport function Footer () {\n return (\n \n );\n}\n",[],[18,121,619],"bc1a42c8-370e-11f0-a274-9e149126039e","DebugStyles.tsx","a3de003a-ef11-4c7a-a01e-6a80bb51a9e3",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useRef, useEffect, useState } from \"react\";\nimport { TownieIcon } from \"./icons.tsx\";\nimport { Messages } from \"./Messages.tsx\";\n\nexport function DebugStyles() {\n const [pathname, setPathname] = useState(\"\");\n return (\n

Debug styles

\n\n

\n \n

\n\n

\n {\n const raw = e.target.value;\n if (!raw.includes(\"https://example.com\")) return;\n const next = raw\n .replace(\"https://example.com\", \"\")\n .replace(/^\\//, \"\");\n setPathname(next);\n }}\n className=\"url-input\"\n />\n

\n {/*\n

\n \n

\n */}\n\n

Example user message

\n \n Thinking...\n

\n Just thinking about life and stuff...\n

\n\n

\n \n

view:

\n main.tsx\n

Just looking at files

\n\n

This is a block of prose assistant messages

\n );\n}\n",[],[18,121,626],"bc1a3dc8-370e-11f0-a274-9e149126039e","ChatRouteSingleColumn.tsx","3df55871-87e3-4613-81f3-1a6e0d165d93",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useState, useEffect, useContext, createContext } from \"react\";\nimport { useParams } from \"react-router\";\n\nimport { AppContext } from \"./App.tsx\";\nimport { useProject } from \"../hooks/useProject.tsx\";\nimport { useChatLogic } from \"../hooks/useChatLogic.ts\";\nimport { useLoadingFavicon } from \"../hooks/useLoadingFavicon.ts\";\nimport { useUsageStats } from \"../hooks/useUsageStats.ts\";\nimport { Messages } from \"./Messages.tsx\";\nimport { InputBox, ImageDropContainer } from \"./InputBox.tsx\";\nimport { PreviewFrame } from \"./PreviewFrame.tsx\";\nimport { BranchSelect } from \"./BranchSelect.tsx\";\nimport { Loading } from \"./Loading.tsx\";\nimport { Footer } from \"./Footer.tsx\";\n\nexport const ProjectContext = createContext(null);\n\n// alt single-column version of /chat route\nexport function ChatRouteSingleColumn () {\n const { projectId, branchId } = useParams() as {\n projectId: string;\n branchId?: string;\n };\n\n const project = useProject(projectId, branchId);\n\n if (project.loading) {\n return \n }\n\n if (project.error) {\n return (\n

\n Error: {JSON.stringify(project.error, null, 2)}\n

\n );\n }\n\n\n if (!project.data) return null;\n\n return (\n \n \n \n );\n}\n\nfunction Conversation ({\n project,\n files,\n branchId,\n refetch,\n}: {\n project: any;\n files: any[];\n branchId: string;\n refetch: () => void;\n}) {\n const [images, setImages] = useState<(string|null)[]>([]);\n const [selectedFiles, setSelectedFiles] = useState([]);\n const { audio, user } = useContext(AppContext);\n\n const {\n messages,\n error,\n input,\n handleInputChange,\n handleSubmit,\n handleStop,\n running,\n usages,\n messageEndTimes,\n } = useChatLogic({\n project,\n branchId,\n selectedFiles,\n images,\n soundEnabled: audio,\n });\n\n useLoadingFavicon(running);\n\n useEffect(() => {\n if (!messages?.length) return;\n let last = messages.at(-1);\n if (shouldRefetch(last)) {\n refetch();\n }\n }, [messages]);\n useUsageStats(messages, usages);\n\n if (!project) {\n return (\n

\n Error loading project\n

\n );\n }\n\n return (\n \n

\n \n {project.imageUrl ? (\n

\n ) : user?.profileImageUrl ? (\n \n ) : (\n

\n )}\n

{project.name}

\n \n

\n\n \n {error && (\n

{error.stack}

\n )}\n\n

\n {\n handleSubmit(e);\n setImages([]);\n }}\n onCancel={handleStop}\n running={running}\n error={error}\n images={images}\n setImages={setImages}\n />\n

\n \n );\n}\n\nfunction shouldRefetch (message) {\n for (let i = 0; i < message?.parts?.length; i++) {\n let part = message.parts[i];\n if (part.type === \"tool-invocation\") {\n switch (part.toolInvocation?.toolName) {\n case \"str_replace_editor\":\n if (part.toolInvocation?.args?.command === \"create\") {\n return true;\n }\n break;\n case \"delete_file\":\n case \"change_val_type\":\n return true;\n }\n }\n }\n return false;\n}\n",[],[18,121,633],"bc1a3ad0-370e-11f0-a274-9e149126039e","BranchSelect.tsx","12f7c9e2-73cd-4861-97ea-d4c49ef439d3",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport { useMemo } from \"react\";\nimport { useNavigate, useParams } from \"react-router\";\nimport { useBranches } from \"../hooks/useBranches.tsx\";\nimport { useCreateBranch } from \"../hooks/useCreateBranch.tsx\";\n\nconst NEW_BRANCH_VAL = \"__NEW_BRANCH__\";\n\nexport function BranchSelect() {\n const { projectId, branchId } = useParams() as {\n projectId: string;\n branchId: string;\n };\n const navigate = useNavigate();\n const branches = useBranches(projectId);\n const createBranch = useCreateBranch(projectId);\n\n const branch = useMemo(() => {\n if (!branchId) return \"main\";\n if (!branches.data) return \"\";\n const b = branches.data.find((b) => b.id === branchId);\n return b?.name ?? \"main\";\n }, [branchId, branches.data]);\n\n const createBranchPrompt = () => {\n const branchName = window.prompt(\"Create new branch\");\n if (branchName === null || branchName === \"\") return;\n console.log(\"create branch\", branchName);\n createBranch.createBranch({ name: branchName }).then((res) => {\n if (res.error) {\n window.alert(res.error);\n return;\n }\n branches.refetch();\n if (res?.branch?.id) {\n navigate(`/chat/${projectId}/branch/${res.branch.id}`);\n }\n });\n };\n\n const handleChange = (e) => {\n const name = e.target.value;\n if (name === NEW_BRANCH_VAL) {\n return createBranchPrompt();\n }\n const next = branches.data?.find((b) => b.name === name);\n if (next?.id) {\n navigate(`/chat/${projectId}/branch/${next.id}`);\n }\n };\n\n return (\n <>\n \n Branch\n \n \n {branches.loading && }\n {branches.data?.map((branch) => (\n \n ))}\n \n \n \n );\n}\n",[],[18,121,640],"bc1a3864-370e-11f0-a274-9e149126039e","App.tsx","8f7844e8-14db-410c-9428-72abf7ee5fa1",["D",1747919687297],"/** @jsxImportSource https://esm.sh/react@18.2.0?dev */\nimport React, { createContext, useState } from \"react\";\nimport { BrowserRouter, Link, Navigate, Outlet, Route, Routes, useLocation } from \"react-router\";\nimport { useLocalStorage } from \"react-use\";\nimport { useUser } from \"../hooks/useUser.tsx\";\nimport { ChatRouteSingleColumn } from \"./ChatRouteSingleColumn.tsx\";\nimport { DebugStyles } from \"./DebugStyles.tsx\";\nimport { LayoutRoute } from \"./LayoutRoute.tsx\";\nimport { NewProjectRoute } from \"./NewProjectRoute.tsx\";\nimport { NotFoundRoute } from \"./NotFoundRoute.tsx\";\nimport { ProjectsRoute } from \"./ProjectsRoute.tsx\";\n\nexport const AppContext = createContext({\n audio: false,\n setAudio: () => {},\n user: null,\n});\n\nexport function App() {\n const [audio, setAudio] = useLocalStorage(\"AUDIO\", false);\n const user = useUser();\n\n return (\n \n \n \n }>\n } />\n } />\n } />\n } />\n \n \n \n \n );\n}\n",[],[18,121,647],["D",1747919687297],[300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318],[18,121],["D",1747919687297],[299,319,330,332,335,336,337],[18],"bc1a34c2-370e-11f0-a274-9e149126039e","fd553c97-a925-4d68-9213-a964ea16ef21","f4412aa4-fbd7-4f58-b2ff-c13585a9135c",["D",1747919687297],"import { Hono } from \"npm:hono\";\nimport createBranchApp from \"./routes/create-branch.ts\";\nimport createProjectApp from \"./routes/create-project.ts\";\nimport projectBranchesApp from \"./routes/project-branches.ts\";\nimport projectFilesApp from \"./routes/project-files.ts\";\nimport projectsLoaderApp from \"./routes/projects-loader.ts\";\nimport projectApp from \"./routes/project.ts\";\nimport sendMessageApp from \"./routes/send-message.ts\";\nimport userRoute from \"./routes/user.ts\";\n\nexport const app = new Hono();\n\napp.route(\"/send-message\", sendMessageApp);\napp.route(\"/projects-loader\", projectsLoaderApp);\napp.route(\"/project-files\", projectFilesApp);\napp.route(\"/project-branches\", projectBranchesApp);\napp.route(\"/project\", projectApp);\napp.route(\"/create-branch\", createBranchApp);\napp.route(\"/create-project\", createProjectApp);\napp.route(\"/user\", userRoute);\n\n// This is the entry point for HTTP vals\nexport default app.fetch;\n",[],[666,348],"backend","bc1a3242-370e-11f0-a274-9e149126039e","import-map.tsx",["D",1747919687297],"/**\n * lockfileImportMap reads the deno lockfile and writes the module redirects as\n * an import map. This can be used to get version stability on frontend imports.\n *\n * Use it like:\n * ```\n * import { lockfileImportMap } from \"https://esm.town/v/maxm/lockfileImportMap\"\n * return new Response(`\n * \n * \n * `, { headers: {\"content-type\": \"text/html\"}});\n * ```\n */\nexport function lockfileImportMap() {\n let lockfile: { version: \"4\"; redirects: Record; remotes: Record } = JSON.parse(\n Deno.readTextFileSync(\"deno.lock\"),\n );\n return Response.json({ imports: lockfile.redirects })\n}",[],[666,668],"bc1a2f40-370e-11f0-a274-9e149126039e","fileWithLinesNumbers.ts","8bc4440d-59c3-42be-9f08-c9763ff9cbc9","4c09c53b-f44a-44f6-9ac4-7148a6942a4e",["D",1747919687297],"export default function fileWithLineNumbers(text: string, view_range = []) {\n return [\n undefined, // Line numbers are 1-indexed\n ...text.split(\"\\n\"),\n ]\n .map((line, index) => index + \": \" + line)\n .slice(...view_range)\n .join(\"\\n\");\n}",[],[666,79,674],"bc1a2d9c-370e-11f0-a274-9e149126039e","calculateCost.tsx","e6607e8e-0739-4513-bf0f-b69181297dc1",["D",1747919687297],"// Rates for Claude 3.7 Sonnet (per million tokens)\nconst INPUT_RATE = 3.0; // $3.00 per M input tokens\nconst OUTPUT_RATE = 15.0; // $15.00 per M output tokens\nconst CACHE_READ_RATE = 0.30; // $0.30 per M cache-read tokens\nconst CACHE_WRITE_RATE = 3.75; // $3.75 per M cache-write tokens\n\nexport function calculateCost({\n input_tokens,\n output_tokens,\n cache_read_tokens = 0,\n cache_write_tokens = 0,\n}: {\n input_tokens: number;\n output_tokens: number;\n cache_read_tokens?: number;\n cache_write_tokens?: number;\n}): number {\n // Convert token counts to millions\n const inMillions = (n: number) => n / 1_000_000;\n\n const inputCost = inMillions(input_tokens) * INPUT_RATE;\n const outputCost = inMillions(output_tokens) * OUTPUT_RATE;\n const cacheReadCost = inMillions(cache_read_tokens) * CACHE_READ_RATE;\n const cacheWriteCost = inMillions(cache_write_tokens) * CACHE_WRITE_RATE;\n\n return inputCost + outputCost + cacheReadCost + cacheWriteCost;\n}",[],[666,79,682],"bc1a30a8-370e-11f0-a274-9e149126039e",["D",1747919687297],[294,295],[666,79],"bc1a27ac-370e-11f0-a274-9e149126039e","think.ts","b19b7347-2f95-41fe-a324-4418cc335c12","3ccbfc0d-5878-4d8a-a0eb-23f762e15044",["D",1747919687297],"import { tool } from \"npm:ai\";\nimport { z } from \"npm:zod\";\n\n/**\n * Tool for thinking through complex problems without making external changes\n */\nexport const thinkTool = tool({\n description:\n \"Use the tool to think about something. It will not obtain new information or change the database, but just append the thought to the log. Use it when complex reasoning or some cache memory is needed.\",\n parameters: z.object({\n thought: z.string().describe(\"A thought to think about.\"),\n }),\n execute: async ({ thought }) => {\n return { \n type: 'success', \n data: \"Thought recorded\" \n };\n },\n});",[],[666,700,693],"tools","bc1a1f78-370e-11f0-a274-9e149126039e","text-editor.ts","6e5e7b84-b0ac-482c-988f-b5f49364c41d",["D",1747919687297],"import { anthropic } from \"npm:@ai-sdk/anthropic\";\nimport { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport fileWithLinesNumbers from \"../utils/fileWithLinesNumbers.ts\";\n\nfunction printFileType(file: any){\n if (file.type === \"interval\")\n return \" (cron)\"\n else if (file.type === \"http\" || file.type === \"email\")\n return \" (\" + file.type + \")\"\n else return \"\"\n}\n\n/**\n * View a file or directory in a Val Town project\n */\nasync function view(\n vt: ValTown,\n project: any,\n branch_id: string | undefined,\n path: string,\n view_range: number[] | undefined,\n) {\n if (path.endsWith(\"/\")) {\n try {\n const files = await vt.projects.files.retrieve(project.id, {\n path: path.slice(0, -1),\n limit: 100,\n offset: 0,\n recursive: true,\n branch_id,\n });\n return {\n type: \"success\",\n data: files.data.map(file => file.path + printFileType(file)).join(\"\\n\"),\n };\n } catch (e: any) {\n return {\n type: \"error\",\n message: `Error listing directory: ${e.message}`,\n };\n }\n }\n try {\n const file = await vt.projects.files.getContent(project.id, {\n path: path.startsWith(\"/\") ? path.slice(1) : path,\n branch_id,\n });\n const text = await file.text();\n if (!view_range) {\n return {\n type: \"success\",\n data: fileWithLinesNumbers(text),\n };\n }\n\n return {\n type: \"success\",\n data: fileWithLinesNumbers(text),\n };\n } catch (e: any) {\n console.log(e.stack);\n // likely due to a 404\n return {\n type: \"error\",\n message: \"File not found\",\n };\n }\n}\n\n/**\n * Replace a string in a file in a Val Town project\n */\nasync function str_replace(\n vt: ValTown,\n project: any,\n branch_id: string | undefined,\n path: string,\n old_str?: string,\n new_str?: string,\n) {\n if (old_str === undefined || new_str === undefined) {\n return {\n type: \"error\",\n message: \"What do you mean by replace with no old_str?\",\n };\n }\n\n try {\n const file = await vt.projects.files.getContent(project.id, {\n path: path.startsWith(\"/\") ? path.slice(1) : path,\n branch_id,\n });\n console.log(\"Found file\");\n const text = await file.text();\n let matches = text.split(old_str).length - 1;\n\n if (matches === 0) {\n return {\n type: \"error\",\n message: \"No match found for replacement. Please check your text and try again.\",\n };\n }\n\n if (matches > 1) {\n return {\n type: \"error\",\n message: `Found ${matches} matches for replacement text. Please provide more context to make a unique match.`,\n };\n }\n\n let newText = text.replace(old_str, new_str);\n const resp = await vt.projects.files.update(project.id, {\n path: path.startsWith(\"/\") ? path.slice(1) : path,\n content: newText,\n branch_id,\n });\n\n return {\n type: \"success\",\n data: \"String replaced successfully\",\n };\n } catch (e: any) {\n console.log(e.stack);\n // likely due to a 404\n return {\n type: \"error\",\n message: \"File not found\",\n };\n }\n}\n\n/**\n * Create a new file in a Val Town project\n */\nasync function create(vt: ValTown, project: any, branch_id: string | undefined, path: string, file_text?: string) {\n let type_: \"file\" | \"http\" | \"script\";\n if (path.includes(\"backend/index.ts\")) type_ = \"http\";\n if (file_text?.includes(\"export default app.fetch\")) type_ = \"http\";\n if ([\".ts\", \".tsx\", \".js\", \".jsx\"].some(ext => path.endsWith(ext))) {\n type_ = \"script\";\n } else {\n type_ = \"file\";\n }\n\n try {\n const resp = await vt.projects.files.create(project.id, {\n path: path.startsWith(\"/\") ? path.slice(1) : path,\n content: file_text ?? \"\",\n type: type_, // For now, folks have to change the types in the UI\n branch_id,\n });\n\n return {\n type: \"success\",\n data: \"File created successfully\",\n };\n } catch (e) {\n console.log(e.stack);\n return {\n type: \"error\",\n message: \"Could not create file. It likely already exists.\",\n };\n }\n}\n\n/**\n * Insert a string at a specific line in a file in a Val Town project\n */\nasync function insert(\n vt: ValTown,\n project: any,\n branch_id: string | undefined,\n path: string,\n insert_line?: number,\n new_str?: string,\n) {\n try {\n const file = await vt.projects.files.getContent(project.id, {\n path: path.startsWith(\"/\") ? path.slice(1) : path,\n branch_id,\n });\n console.log(\"found file\");\n const text = await file.text();\n\n const lines = text.split(\"\\n\");\n lines.splice(insert_line ?? 0, 0, new_str ?? \"\");\n\n const newText = lines.join(\"\\n\");\n const resp = await vt.projects.files.update(project.id, {\n path: path.startsWith(\"/\") ? path.slice(1) : path,\n content: newText,\n branch_id,\n });\n\n return {\n type: \"success\",\n data: \"Text inserted successfully\",\n };\n } catch (e: any) {\n console.log(e.stack);\n // likely due to a 404\n return {\n type: \"error\",\n message: \"File not found\",\n };\n }\n}\n\n/**\n * Undo the last edit to a file in a Val Town project (not implemented)\n */\nasync function undo_edit(vt: ValTown, project: any, branch_id: string | undefined) {\n return {\n type: \"error\",\n message: \"Command unimplemented\",\n };\n}\n\n/**\n * Creates a text editor tool for editing files in a Val Town project\n */\nexport function getTextEditorTool(bearerToken: string, project: any, branch_id: string | undefined) {\n const vt = new ValTown({ bearerToken });\n return anthropic.tools.textEditor_20250124({\n execute: async ({\n command,\n path,\n file_text,\n insert_line,\n new_str,\n old_str,\n view_range,\n }) => {\n console.log({\n command,\n path,\n file_text,\n insert_line,\n new_str,\n old_str,\n view_range,\n });\n try {\n if (command === \"view\") return view(vt, project, branch_id, path, view_range);\n if (command === \"str_replace\") return str_replace(vt, project, branch_id, path, old_str, new_str);\n if (command === \"create\") return create(vt, project, branch_id, path, file_text);\n if (command === \"insert\") return insert(vt, project, branch_id, path, insert_line, new_str);\n if (command === \"undo_edit\") return undo_edit(vt, project, branch_id);\n else return {\n type: \"error\",\n message: \"Command unknown\",\n };\n } catch (e: any) {\n console.error(e);\n return {\n type: \"error\",\n message: e.stack,\n };\n }\n },\n });\n}",[],[666,700,702],"bc19fcaa-370e-11f0-a274-9e149126039e","overwrite-file.ts","3ebff58b-27df-4eb2-a596-c673bb801f20",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { tool } from \"npm:ai\";\nimport { z } from \"npm:zod\";\n\n/**\n * Creates a tool for replacing files in a Val Town project\n * This deletes the existing file and creates a new one with the provided content\n */\nexport const makeOverwriteFileTool = (\n { bearerToken, project, branch_id }: { bearerToken: string; project: any; branch_id: string },\n) =>\n tool({\n description: \"Use this tool to completely replace a file with new content.\",\n parameters: z.object({\n path: z.string().describe(\"The file path to replace\"),\n content: z.string().describe(\"The new content for the file\"),\n }),\n execute: async ({ path, content }: { path: string; content: string }) => {\n const vt = new ValTown({ bearerToken });\n const normalizedPath = path.startsWith(\"/\") ? path.slice(1) : path;\n\n try {\n await vt.projects.files.update(project.id, {\n path: path.startsWith(\"/\") ? path.slice(1) : path,\n content,\n branch_id,\n });\n\n return {\n type: \"success\",\n data: \"File replaced successfully\",\n };\n } catch (e: any) {\n return {\n type: \"error\",\n message: \"Error replacing file: \" + e.message,\n };\n }\n },\n });",[],[666,700,709],"bc19fafc-370e-11f0-a274-9e149126039e","ba478149-97f2-4fe0-9515-75d24100ad4e",["D",1747919687297],"import { makeChangeValTypeTool } from \"./change-val-type.ts\";\nimport { makeDeleteTool } from \"./delete.ts\";\nimport { makeFetchTool } from \"./fetch.ts\";\nimport { makeOverwriteFileTool } from \"./overwrite-file.ts\";\nimport { getTextEditorTool } from \"./text-editor.ts\";\nimport { thinkTool } from \"./think.ts\";\n\nexport { \n getTextEditorTool, \n makeChangeValTypeTool, \n makeDeleteTool, \n makeFetchTool,\n makeOverwriteFileTool, \n thinkTool \n};",[],[666,700,348],"bc19f5ca-370e-11f0-a274-9e149126039e","fetch.ts","9ff72788-1984-45d7-9588-689e656cf030",["D",1747919687297],"/**\n * Tool for making HTTP requests to vals and returning the response\n * This allows the AI to debug HTTP vals by seeing their responses\n */\n\nimport { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { tool } from \"npm:ai\";\nimport { z } from \"npm:zod\";\n\n/**\n * Creates a tool for making HTTP requests to vals in a Val Town project\n */\nexport const makeFetchTool = (\n { bearerToken, project, branch_id }: { bearerToken?: string; project?: any; branch_id?: string } = {},\n) =>\n tool({\n name: \"fetch\",\n description: \"Make an HTTP request to a Val Town val and return the response. Useful for testing HTTP vals.\",\n parameters: z.object({\n valPath: z.string().describe(\n \"The path to the val in the current project (e.g., '/index.ts', '/backend/routes/user.ts')\",\n ),\n urlPath: z.string().optional().describe(\"The URL path to make the request to. Defaults to '/'.\"),\n method: z.enum([\"GET\", \"POST\", \"PUT\", \"DELETE\", \"PATCH\", \"HEAD\", \"OPTIONS\"]).optional().describe(\n \"The HTTP method to use. Defaults to GET.\",\n ),\n headers: z.record(z.string()).optional().describe(\"Optional headers to include in the request.\"),\n body: z.string().optional().describe(\n \"Optional body to include in the request. For JSON, provide a stringified JSON object.\",\n ),\n }),\n execute: async ({ valPath, urlPath = \"/\", method = \"GET\", headers = {}, body }: {\n valPath: string;\n urlPath: string;\n method: string;\n headers: Record;\n body: string;\n }) => {\n if (!bearerToken) {\n return {\n type: \"error\",\n message: \"No bearer token provided\",\n };\n }\n\n if (!project || !project.id) {\n return {\n type: \"error\",\n message: \"No project information provided\",\n };\n }\n\n // Create ValTown client\n const vt = new ValTown({ bearerToken });\n\n // Normalize the path (remove leading slash if present)\n const normalizedPath = valPath.startsWith(\"/\") ? valPath.slice(1) : valPath;\n\n let filesResponse;\n try {\n // Get the val's metadata to check if it's an HTTP val\n filesResponse = await vt.projects.files.retrieve(project.id, {\n path: normalizedPath,\n recursive: false,\n branch_id: branch_id || undefined,\n });\n } catch (error) {\n return {\n type: \"error\",\n message: `Error fetching val at path '${valPath}': ${error.message}`,\n };\n }\n const file = filesResponse?.data[0];\n\n if (!file) {\n return {\n type: \"error\",\n message: `Could not find val at path '${valPath}'`,\n };\n }\n\n if (file.type !== \"http\") {\n return {\n type: \"error\",\n message: `The val at path '${valPath}' is not an HTTP val. Only HTTP vals can be called with fetch.`,\n };\n }\n\n // Get the HTTP endpoint URL\n const valEndpoint = file.links?.endpoint;\n\n if (!valEndpoint) {\n return {\n type: \"error\",\n message: `Could not find HTTP endpoint for val at path '${valPath}'`,\n };\n }\n\n // Make the HTTP request to the val's endpoint\n const options: RequestInit = {\n method,\n headers,\n };\n\n if (body && [\"POST\", \"PUT\", \"PATCH\"].includes(method)) {\n options.body = body;\n }\n\n // Make the request and measure response time\n const startTime = Date.now();\n let response;\n try {\n response = await fetch(valEndpoint + urlPath, options);\n } catch (error: any) {\n // Return error information\n return {\n type: \"error\",\n message: `Error making request: ${error.message}`,\n };\n }\n const endTime = Date.now();\n const responseTime = endTime - startTime;\n\n // Get response headers\n const responseHeaders: Record = {};\n response.headers.forEach((value, key) => {\n responseHeaders[key] = value;\n });\n\n // Get content type\n const contentType = response.headers.get(\"content-type\") || \"\";\n\n // Process response body based on content type\n let responseBody = await response.text();\n\n return {\n type: \"success\",\n data: {\n status: response.status,\n statusText: response.statusText,\n headers: responseHeaders,\n body: responseBody,\n contentType,\n responseTime,\n url: valEndpoint,\n },\n };\n },\n });",[],[666,700,722],"bc19f444-370e-11f0-a274-9e149126039e","delete.ts","6882a4ac-2730-47d7-a0a3-1d7ffd276162",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { tool } from \"npm:ai\";\nimport { z } from \"npm:zod\";\n\n/**\n * Creates a tool for deleting files in a Val Town project\n */\nexport const makeDeleteTool = (\n { bearerToken, project, branch_id }: { bearerToken: string; project: any; branch_id: string },\n) =>\n tool({\n description:\n \"Use this tool to delete a file. It's also useful when you want to re-create a file from scratch: first delete the old file and then create the new file from scratch.\",\n parameters: z.object({\n path: z.string().describe(\"The file path to delete\"),\n }),\n execute: async ({ path }: { path: string }) => {\n const vt = new ValTown({ bearerToken });\n try {\n await vt.projects.files.delete(project.id, {\n path: path.startsWith(\"/\") ? path.slice(1) : path,\n branch_id,\n });\n } catch (e: any) {\n return { \n type: 'error', \n message: \"Error deleting file: \" + e.message \n };\n }\n return { \n type: 'success', \n data: \"File deleted\" \n };\n },\n });",[],[666,700,729],"bc19f0fc-370e-11f0-a274-9e149126039e","change-val-type.ts","d5aa6f41-d2e3-4089-ac54-d8e5067bbfd9",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { tool } from \"npm:ai\";\nimport { z } from \"npm:zod\";\n\n/**\n * Creates a tool for updated file triggers Val Town projects\n */\nexport const makeChangeValTypeTool = (\n { bearerToken, project, branch_id }: { bearerToken: string; project: any; branch_id: string },\n) =>\n tool({\n description: `Use this tool to edit the HTTP, cron or email triggers on a file.\nA file can only have zero or one triggers.\nThe cron schedule ccannot be set via this tool. If you create a cron, inform the user to change its schedule in the Val Town web UI.`,\n parameters: z.object({\n path: z.string().describe(\"The file path to add or remove the trigger to\"),\n type: z.enum([\"http\", \"email\", \"cron\", \"none\"]).describe(\"The type of trigger to add\"),\n }),\n execute: async ({ path, type }: { path: string, type: string }) => {\n const vt = new ValTown({ bearerToken });\n try {\n await vt.projects.files.update(project.id, {\n path: path.startsWith(\"/\") ? path.slice(1) : path,\n branch_id,\n type: type === \"cron\" \n ? \"interval\"\n : type === \"none\" && [\".ts\", \".tsx\", \".js\", \".jsx\"].some(ext => path.endsWith(ext))\n ? \"script\"\n : type === \"none\"\n ? \"file\"\n : type\n });\n } catch (e: any) {\n return { \n type: 'error', \n message: \"Error updating file type: \" + e.message \n };\n }\n return { \n type: 'success', \n data: `File ${path} updated to have ${type} trigger` \n };\n },\n });",[],[666,700,736],"bc1a2c16-370e-11f0-a274-9e149126039e",["D",1747919687297],[286,287,288,289,290,291,292],[666,700],"bc19c852-370e-11f0-a274-9e149126039e","user.ts","b3e06554-6ade-4bb5-9960-f8b02e409bf8","989d1c13-c96f-4d6d-a55a-5d290b2c24b2",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { Hono } from \"npm:hono\";\n\nconst app = new Hono();\n\n// used to check authentication\napp.get(\"/\", async (c) => {\n const bearerToken = c.get(\"token\");\n if (!bearerToken) {\n return Response.json(\"Please provide a bearer token\", { status: 401 });\n }\n\n const vt = new ValTown({ bearerToken });\n const user = await vt.me.profile.retrieve();\n\n return c.json(user);\n});\n\nexport default app;\n",[],[666,116,747],"bc19c154-370e-11f0-a274-9e149126039e","send-message.ts","b32a76e1-ea71-4aad-b0d6-03662f7eb6b7",["D",1747919687297],"import { readFile } from \"https://esm.town/v/std/utils@71-main/index.ts\";\nimport { createAnthropic } from \"npm:@ai-sdk/anthropic\";\nimport { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { convertToCoreMessages, type CoreUserMessage, streamText } from \"npm:ai\";\nimport { Hono } from \"npm:hono\";\nimport {\n finishTrackingUsage,\n getUser,\n insertInferenceCall,\n overLimit,\n startTrackingUsage,\n} from \"../database/queries.tsx\";\nimport {\n getTextEditorTool,\n makeChangeValTypeTool,\n makeDeleteTool,\n makeFetchTool,\n makeOverwriteFileTool,\n thinkTool,\n} from \"../tools/index.ts\";\nimport fileWithLinesNumbers from \"../utils/fileWithLinesNumbers.ts\";\n\nconst app = new Hono();\n\n// Load system prompts\nconst systemPromptPromise = readFile(\"/prompts/system_prompt.txt\", import.meta.url);\nconst openTowniePromptAdditionsPromise = readFile(\"/prompts/open_townie_prompt_additions.txt\", import.meta.url);\n\napp.post(\"/\", async (c) => {\n const bearerToken = c.get(\"token\");\n if (!bearerToken) {\n return Response.json(\"Please provide a bearer token\", { status: 401 });\n }\n\n const { messages, project, branchId, anthropicApiKey, selectedFiles, images } = await c.req.json();\n\n // do we want to allow user-provided tokens still\n const apiKey = anthropicApiKey || Deno.env.get(\"ANTHROPIC_API_KEY\");\n const our_api_token = apiKey === Deno.env.get(\"ANTHROPIC_API_KEY\");\n\n if (our_api_token) {\n if (await overLimit(bearerToken)) {\n const user = await getUser(bearerToken);\n if (user.tier === \"pro\") {\n return Response.json(\n \"You have reached the 24-hour Townie limit. Contact townie@val.town if you'd like to pay for increased limits.\",\n { status: 403 },\n );\n } else {\n return Response.json(\n \"You have reached the 24-hour Townie limit. Upgrade to Pro for 10x limits: https://val.town/pricing\",\n { status: 403 },\n );\n }\n }\n }\n\n const model = \"claude-3-7-sonnet-20250219\";\n\n const rowid = await startTrackingUsage({\n our_api_token,\n bearerToken, // will look up the userId from this\n branch_id: branchId,\n val_id: project.id,\n num_images: images?.length || 0,\n model: \"claude-3-7-sonnet-20250219\",\n });\n\n const anthropic = createAnthropic({\n apiKey,\n });\n\n let coreMessages = convertToCoreMessages(messages);\n\n // If there are images, we need to add them to the last user message\n if (images && Array.isArray(images) && images.length > 0) {\n // Find the last user message\n const lastUserMessageIndex = coreMessages.findIndex(\n (msg, idx) => msg.role === \"user\" && idx === coreMessages.length - 1,\n );\n\n if (lastUserMessageIndex !== -1) {\n // Get the text content from the last user message\n const lastUserMessageContent = coreMessages[lastUserMessageIndex].content;\n\n // Create a new message with multimodal content\n // Format the message according to the Vercel AI SDK's expected format\n const newUserMessage: CoreUserMessage = {\n role: \"user\",\n content: typeof lastUserMessageContent === \"string\"\n ? [{\n type: \"text\",\n text: lastUserMessageContent,\n }]\n : lastUserMessageContent,\n };\n\n // Add each image to the content array using the correct ImagePart format\n for (const image of images) {\n if (image && image.url) {\n // Extract mime type from data URL if available\n let mimeType = undefined;\n if (image.url.startsWith(\"data:\")) {\n const matches = image.url.match(/^data:([^;]+);/);\n if (matches && matches.length > 1) {\n mimeType = matches[1];\n }\n }\n\n newUserMessage.content.push({\n type: \"image\",\n image: image.url,\n mimeType,\n });\n }\n }\n\n // Replace the last user message with our new multimodal message\n coreMessages[lastUserMessageIndex] = newUserMessage;\n }\n }\n\n // If there are selected files, fetch their content and add them to the messages\n if (selectedFiles && selectedFiles.length > 0) {\n const vt = new ValTown({ bearerToken });\n\n try {\n // Create a message with the file contents\n let fileContents = \"# Selected Project Files\\n\\n\";\n\n for (const filePath of selectedFiles) {\n if (filePath.endsWith(\"/\")) continue; // Skip directories\n\n try {\n const file = await vt.projects.files.getContent(project.id, {\n path: filePath.startsWith(\"/\") ? filePath.slice(1) : filePath,\n branch_id: branchId || undefined,\n });\n\n const content = await file.text();\n fileContents += `## File: ${filePath}\\n\\`\\`\\`\\n${fileWithLinesNumbers(content)}\\n\\`\\`\\`\\n\\n`;\n } catch (error) {\n console.error(`Error fetching file ${filePath}:`, error);\n fileContents += `## File: ${filePath}\\nError: Could not fetch file content\\n\\n`;\n }\n }\n\n // Add the file contents as the last message\n coreMessages.push({\n role: \"user\",\n content: [{ type: \"text\", text: fileContents }],\n });\n } catch (error) {\n console.error(\"Error processing selected files:\", error);\n }\n }\n\n // Add cache control to the last message\n let lastMessage = coreMessages.at(-1);\n if (lastMessage) {\n // If the last message is a string, convert it to the array type\n if (typeof lastMessage.content === \"string\") {\n lastMessage.content = [\n { type: \"text\", text: lastMessage.content },\n ];\n }\n // @ts-ignore\n lastMessage.content.at(-1).providerOptions = {\n anthropic: { cacheControl: { type: \"ephemeral\" } },\n };\n }\n\n // console.log(JSON.stringify(coreMessages, null, 2));\n\n // Await the system prompts\n const system = await systemPromptPromise;\n const open_townie_prompt_additions = await openTowniePromptAdditionsPromise;\n\n const result = await streamText({\n model: anthropic(model),\n messages: coreMessages,\n system: system + \"\\n\\n\" + open_townie_prompt_additions,\n tools: {\n str_replace_editor: getTextEditorTool(bearerToken, project, branchId),\n think: thinkTool,\n delete_file: makeDeleteTool({ bearerToken, project, branch_id: branchId }),\n change_val_type: makeChangeValTypeTool({ bearerToken, project, branch_id: branchId }),\n overwrite_file: makeOverwriteFileTool({ bearerToken, project, branch_id: branchId }),\n fetch: makeFetchTool({ bearerToken, project, branch_id: branchId }),\n },\n maxSteps: 20,\n maxTokens: 4_096 * 10,\n abortSignal: c.req.raw.signal,\n onStepFinish: async (result: any) => {\n await insertInferenceCall({\n usage_id: rowid,\n step_type: result.stepType,\n finish_reason: result.finishReason,\n input_tokens: result.usage.promptTokens,\n output_tokens: result.usage.completionTokens,\n cache_read_tokens: result.providerMetadata.anthropic.cacheReadInputTokens,\n cache_write_tokens: result.providerMetadata.anthropic.cacheCreationInputTokens,\n });\n },\n onFinish: async (result: any) => {\n await finishTrackingUsage({\n rowid,\n finish_reason: result.finishReason,\n input_tokens: result.usage.promptTokens,\n output_tokens: result.usage.completionTokens,\n cache_read_tokens: result.providerMetadata.anthropic.cacheReadInputTokens,\n cache_write_tokens: result.providerMetadata.anthropic.cacheCreationInputTokens,\n });\n },\n });\n\n return result.toDataStreamResponse({\n sendReasoning: true,\n experimental_sendFinish: true,\n getErrorMessage: error => {\n console.log(\"Error in toDataStreamResponse:\", error);\n if (error == null) {\n return \"unknown error\";\n }\n\n if (typeof error === \"string\") {\n return error;\n }\n\n if (error instanceof Error) {\n return error.message;\n }\n\n return JSON.stringify(error);\n },\n });\n});\n\nexport default app;",[],[666,116,755],"bc19bfe2-370e-11f0-a274-9e149126039e","projects-loader.ts","8d09d85a-8bc6-40c1-a756-455e0a2cf0c4",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { Hono } from \"npm:hono\";\n\nconst app = new Hono();\n\napp.get(\"/\", async (c) => {\n const bearerToken = c.get(\"token\");\n if (!bearerToken) {\n return Response.json(\"Unauthorized\", { status: 401 });\n }\n\n const vt = new ValTown({ bearerToken });\n\n const [profile, projects] = await Promise.all([\n vt.me.profile.retrieve(),\n vt.me.projects.list({\n limit: 100,\n }),\n ]);\n\n return c.json({ profile, projects: projects.data });\n});\n\nexport default app;\n",[],[666,116,762],"bc19be7a-370e-11f0-a274-9e149126039e","project.ts","ca1fc42f-33ba-44ef-8c1f-bd111c675afc",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { Hono } from \"npm:hono\";\n\nconst app = new Hono();\n\napp.get(\"/\", async (c) => {\n const bearerToken = c.get(\"token\");\n if (!bearerToken) {\n return Response.json(\"Please provide a bearer token\", { status: 401 });\n }\n const projectId = c.req.query(\"projectId\");\n\n if (!projectId) {\n return Response.json(\"Please provide a projectId\", { status: 400 });\n }\n\n const vt = new ValTown({ bearerToken });\n\n const project = await vt.projects.retrieve(projectId);\n // console.log({ project }, Object.keys(project));\n\n return c.json({ project });\n});\n\nexport default app;\n",[],[666,116,769],"bc19bd08-370e-11f0-a274-9e149126039e","project-files.ts","3553613d-c8e9-474d-805d-2d8f6e372c42",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { Hono } from \"npm:hono\";\n\nconst app = new Hono();\n\napp.get(\"/\", async (c) => {\n const bearerToken = c.get(\"token\");\n if (!bearerToken) {\n return Response.json(\"Please provide a bearer token\", { status: 401 });\n }\n\n const projectId = c.req.query(\"projectId\");\n const branchId = c.req.query(\"branchId\");\n\n if (!projectId) {\n return Response.json(\"Please provide a projectId\", { status: 400 });\n }\n\n const vt = new ValTown({ bearerToken });\n\n try {\n const files = await vt.projects.files.retrieve(projectId, {\n path: \"\",\n limit: 100,\n offset: 0,\n recursive: true,\n branch_id: branchId || undefined,\n });\n\n return c.json({ files: files.data });\n } catch (error) {\n console.error(\"Error fetching project files:\", error);\n return Response.json({ error: \"Failed to fetch project files\" }, { status: 500 });\n }\n});\n\nexport default app;\n",[],[666,116,776],"bc19bbaa-370e-11f0-a274-9e149126039e","project-branches.ts","a2712b85-7f35-4a94-88d4-ebbd87eb4ffc",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { Hono } from \"npm:hono\";\n\nconst app = new Hono();\n\napp.get(\"/\", async (c) => {\n const bearerToken = c.get(\"token\");\n if (!bearerToken) {\n return Response.json(\"Please provide a bearer token\", { status: 401 });\n }\n\n const projectId = c.req.query(\"projectId\");\n if (!projectId) {\n return Response.json(\"Please provide a projectId\", { status: 400 });\n }\n\n const vt = new ValTown({ bearerToken });\n\n try {\n const branches = await vt.projects.branches.list(projectId, { limit: 100 });\n return c.json({ branches: branches.data });\n } catch (error) {\n console.error(\"Error fetching branches:\", error);\n return Response.json({ error: \"Failed to fetch branches\" }, { status: 500 });\n }\n});\n\nexport default app;\n",[],[666,116,783],"bc19ba2e-370e-11f0-a274-9e149126039e","create-project.ts","6d074670-c55a-4f1f-b954-29a6448038e9",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { Hono } from \"npm:hono\";\n\nconst app = new Hono();\n\napp.post(\"/\", async (c) => {\n const bearerToken = c.get(\"token\");\n if (!bearerToken) {\n return Response.json(\"Please provide a bearer token\", { status: 401 });\n }\n\n const { name, description, privacy } = await c.req.json();\n\n const vt = new ValTown({ bearerToken });\n\n try {\n const project = await vt.projects.create({\n name,\n description,\n privacy,\n });\n\n return c.json({ project });\n } catch (e: any) {\n return c.json({ error: e.message }, { status: 500 });\n }\n});\n\nexport default app;\n",[],[666,116,790],"bc19b7e0-370e-11f0-a274-9e149126039e","create-branch.ts","66f66785-92e4-4088-a2a1-974f722464f4",["D",1747919687297],"import { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { Hono } from \"npm:hono\";\n\nconst app = new Hono();\n\napp.post(\"/\", async (c) => {\n const bearerToken = c.get(\"token\");\n if (!bearerToken) {\n return Response.json(\"Please provide a bearer token\", { status: 401 });\n }\n\n const { projectId, branchName } = await c.req.json();\n\n if (!projectId) {\n return Response.json(\"Please provide a projectId\", { status: 400 });\n }\n\n if (!branchName) {\n return Response.json(\"Please provide a branchName\", { status: 400 });\n }\n\n // Validate branch name (only letters, numbers, and dashes)\n const branchNameRegex = /^[a-zA-Z0-9-]+$/;\n if (!branchNameRegex.test(branchName)) {\n return Response.json({\n error: \"Branch name can only contain letters, numbers, and dashes\",\n }, { status: 400 });\n }\n\n const vt = new ValTown({ bearerToken });\n\n try {\n const newBranch = await vt.projects.branches.create(projectId, {\n name: branchName,\n });\n\n return c.json({ branch: newBranch });\n } catch (error) {\n console.error(\"Error creating branch:\", error);\n return Response.json({\n error: error instanceof Error ? error.message : \"Failed to create branch\",\n }, { status: 500 });\n }\n});\n\nexport default app;\n",[],[666,116,797],"bc19ef8a-370e-11f0-a274-9e149126039e",["D",1747919687297],[277,278,279,280,281,282,283,284],[666,116],"bc19b3e4-370e-11f0-a274-9e149126039e","schema.tsx","7fc19450-5314-4c9d-90a7-c548d26fcb71","340e7474-23b1-450b-8f26-60295256d4ea",["D",1747919687297],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\n\nexport const USAGE_TABLE = \"townie_usage\";\nexport const INFERENCE_CALLS_TABLE = \"townie_inference_calls\";\n\nexport interface Usage {\n user_id: string;\n username: string;\n timestamp: number;\n finish_timestamp?: number;\n val_id: string;\n branch_id: string;\n input_tokens?: number;\n output_tokens?: number;\n cache_read_tokens?: number;\n cache_write_tokens?: number;\n model: string;\n price?: number;\n finish_reason?: string;\n num_images?: number;\n our_api_token: boolean;\n}\n\nasync function createTables() {\n // archive a table\n // await sqlite.execute(\n // `ALTER TABLE ${USAGE_TABLE} RENAME TO ${USAGE_TABLE}_1`,\n // );\n // create a new table\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${USAGE_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n user_id TEXT NOT NULL,\n username TEXT NOT NULL,\n timestamp INTEGER NOT NULL,\n val_id TEXT NOT NULL,\n branch_id TEXT,\n input_tokens INTEGER,\n output_tokens INTEGER,\n cache_read_tokens INTEGER,\n cache_write_tokens INTEGER,\n model TEXT,\n price REAL,\n finish_reason TEXT,\n num_images INTEGER,\n our_api_token INTEGER NOT NULL,\n finish_timestamp INTEGER\n )\n `);\n // add all the data from the old table\n // await sqlite.execute(`INSERT INTO ${USAGE_TABLE} SELECT * FROM ${USAGE_TABLE}_1`);\n\n // TODO add an index on usage_id\n await sqlite.execute(`\n CREATE TABLE IF NOT EXISTS ${INFERENCE_CALLS_TABLE} (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n usage_id INTEGER NOT NULL REFERENCES ${USAGE_TABLE}(id),\n timestamp INTEGER NOT NULL,\n input_tokens INTEGER,\n output_tokens INTEGER,\n cache_read_tokens INTEGER,\n cache_write_tokens INTEGER,\n price REAL,\n step_type TEXT,\n finish_reason TEXT\n )\n `);\n}\n\nasync function deleteTables() {\n await sqlite.execute(`DROP TABLE IF EXISTS ${USAGE_TABLE}`);\n await sqlite.execute(`DROP TABLE IF EXISTS ${INFERENCE_CALLS_TABLE}`);\n}\n\n// await deleteTables();\nawait createTables();",[],[666,815,808],"database","bc19ae62-370e-11f0-a274-9e149126039e","queries.tsx","8b6820c9-4260-410a-8276-08595afe15dc",["D",1747919687297],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { ValTown } from \"npm:@valtown/sdk@0.37.0\";\nimport { calculateCost } from \"../utils/calculateCost.tsx\";\nimport { INFERENCE_CALLS_TABLE, USAGE_TABLE } from \"./schema.tsx\";\n\n// Eventually we'll have a user database,\n// but in the meantime, we can cache user info in memory\nconst userIdCache: { [key: string]: any } = {};\nexport async function getUser(bearerToken: string) {\n if (userIdCache[bearerToken]) return userIdCache[bearerToken];\n\n const vt = new ValTown({ bearerToken });\n const me = await vt.me.profile.retrieve();\n userIdCache[bearerToken] = me;\n return me;\n}\n\nasync function last24Hours(userId: string) {\n const usage = await sqlite.execute(\n `SELECT \n sum(price) \n FROM ${USAGE_TABLE} \n WHERE \n user_id = ? \n AND timestamp > ?\n AND our_api_token = 1\n `,\n [userId, new Date().getTime() - 24 * 60 * 60 * 1000],\n );\n return usage.rows[0][0] || 0;\n}\n\n// These are reasonable placeholders.\n// If this takes off, we should give less free stuff (or maybe a limited free trial of $5 ever)\n// and then let folks buy credits via Stripe.\nconst DAILY_FREE_LIMIT = 0.5; // 50 cents per day\nconst DAILY_PRO_LIMIT = 5; // $5 per day\n\nconst LIMITS: { [key: string]: number } = {\n \"devto\": 100, // hardcoded limit of $100 per day for dev.to, billed later\n \"jonbo\": 20, // hardcoded limit of $20 per day for jonbo, billed later,\n \"diegoivo\": 50, // hardcoded limit of $50 per day for diegoivo, billed later,\n \"charmaine\": 20, // she works at val town\n \"dthyresson\": 6,\n \"lightweight\": 10, // brad noble, added temporarily for prep for town hall on 5/21/25\n};\nexport async function overLimit(bearerToken: string) {\n const user = await getUser(bearerToken);\n const last24HourUsage = await last24Hours(user.id);\n\n const limit = LIMITS[user.username] ?? (user.tier === \"pro\" ? DAILY_PRO_LIMIT : DAILY_FREE_LIMIT);\n\n return last24HourUsage >= limit;\n}\n\nexport async function insertInferenceCall({\n usage_id,\n input_tokens,\n output_tokens,\n cache_read_tokens,\n cache_write_tokens,\n step_type,\n finish_reason,\n}: {\n usage_id: number;\n input_tokens: number;\n output_tokens: number;\n cache_read_tokens?: number;\n cache_write_tokens?: number;\n step_type: string;\n finish_reason: string;\n}) {\n const price = calculateCost({\n input_tokens,\n output_tokens,\n cache_read_tokens,\n cache_write_tokens,\n });\n try {\n await sqlite.execute(\n `INSERT INTO ${INFERENCE_CALLS_TABLE} (\n usage_id,\n timestamp,\n input_tokens,\n output_tokens,\n cache_read_tokens,\n cache_write_tokens,\n price,\n step_type,\n finish_reason\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)\n `,\n [\n usage_id,\n Date.now(),\n input_tokens,\n output_tokens,\n cache_read_tokens || 0,\n cache_write_tokens || 0,\n price,\n step_type,\n finish_reason,\n ],\n );\n } catch (e) {\n console.error(e);\n }\n}\n\nexport async function startTrackingUsage({\n bearerToken,\n val_id,\n branch_id,\n model,\n our_api_token,\n num_images,\n}: {\n bearerToken: string;\n val_id: string;\n branch_id: string;\n model: string;\n our_api_token: boolean;\n num_images: number;\n}) {\n const user = await getUser(bearerToken);\n const { lastInsertRowid } = await sqlite.execute(\n `INSERT INTO ${USAGE_TABLE} (\n user_id,\n username,\n timestamp,\n val_id,\n branch_id,\n model,\n our_api_token,\n num_images\n ) VALUES (?, ?, ?, ?, ?, ?, ?, ?)\n `,\n [\n user.id,\n user.username,\n Date.now(),\n val_id,\n branch_id,\n model,\n our_api_token ? 1 : 0,\n num_images,\n ],\n );\n return lastInsertRowid;\n}\n\nexport async function finishTrackingUsage({\n rowid,\n input_tokens,\n output_tokens,\n cache_read_tokens,\n cache_write_tokens,\n finish_reason,\n}: {\n rowid: number;\n input_tokens?: number;\n output_tokens?: number;\n cache_read_tokens?: number;\n cache_write_tokens?: number;\n finish_reason: string;\n}) {\n const price = calculateCost({\n input_tokens,\n output_tokens,\n cache_read_tokens,\n cache_write_tokens,\n });\n try {\n await sqlite.execute(\n `UPDATE ${USAGE_TABLE} SET\n input_tokens = ?,\n output_tokens = ?,\n cache_read_tokens = ?,\n cache_write_tokens = ?,\n price = ?,\n finish_reason = ?\n WHERE rowid = ?\n `,\n [\n input_tokens || 0,\n output_tokens || 0,\n cache_read_tokens || 0,\n cache_write_tokens || 0,\n price,\n finish_reason,\n rowid,\n ],\n );\n } catch (e) {\n console.error(e);\n }\n}",[],[666,815,817],"bc19aa7a-370e-11f0-a274-9e149126039e","bc0eed22-bfc9-4eab-b727-35e8bec054fe","b11909f4-92c9-419b-a238-8f9ce9b75c62",["D",1747919687297],"import { basicAuthMiddleware } from \"./auth.ts\";\nimport { handleApiRequest } from \"./api/index.ts\";\nimport { getRequests } from \"./api/requests.ts\";\nimport { getUserSummary } from \"./api/user-summary.ts\";\nimport { getInferenceCalls } from \"./api/inference-calls.ts\";\nimport { renderDashboard } from \"./views/dashboard.ts\";\nimport { renderRequests } from \"./views/requests.ts\";\nimport { renderInferenceCalls } from \"./views/inference-calls.ts\";\n\n/**\n * Main entry point for the usage dashboard\n */\nexport default async function(req: Request) {\n // Check authentication first\n const authResponse = await basicAuthMiddleware(req);\n if (authResponse) {\n return authResponse;\n }\n\n // Parse the URL\n const url = new URL(req.url);\n const path = url.pathname;\n\n // Handle API requests\n if (path.startsWith(\"/api/\")) {\n return handleApiRequest(req);\n }\n\n // Handle page requests\n try {\n if (path === \"/\" || path === \"\") {\n // User summary page\n const userData = await getUserSummary();\n return new Response(renderDashboard(userData), {\n headers: { \"Content-Type\": \"text/html\" }\n });\n }\n else if (path === \"/requests\") {\n // Requests page\n const usageId = url.searchParams.get(\"usage_id\");\n const requestsData = await getRequests(url);\n return new Response(renderRequests(\n requestsData.data, \n requestsData.pagination, \n url.toString()\n ), {\n headers: { \"Content-Type\": \"text/html\" }\n });\n }\n else if (path === \"/inference\") {\n // Inference calls page\n const inferenceData = await getInferenceCalls(url);\n return new Response(renderInferenceCalls(\n inferenceData.data, \n inferenceData.pagination, \n url.toString(),\n inferenceData.filtered\n ), {\n headers: { \"Content-Type\": \"text/html\" }\n });\n }\n else {\n // 404 page\n return new Response(\"Page not found\", {\n status: 404,\n headers: { \"Content-Type\": \"text/plain\" }\n });\n }\n } catch (error) {\n console.error(\"Error rendering page:\", error);\n return new Response(`Error: ${error.message}`, {\n status: 500,\n headers: { \"Content-Type\": \"text/plain\" }\n });\n }\n}",[],[666,815,830,348],"usage-dashboard","bc19a8d6-370e-11f0-a274-9e149126039e","auth.ts","b742dfd3-9d24-41a9-9df6-05be84b94fc9",["D",1747919687297],"import * as bcrypt from \"https://deno.land/x/bcrypt@v0.3.0/mod.ts\";\n\n/**\n * Basic Auth middleware for the usage dashboard\n * Returns null if authentication is successful, or a Response if it fails\n */\nexport async function basicAuthMiddleware(req: Request): Promise {\n const realm = \"Usage Dashboard\";\n const unauthorizedResponse = new Response(\"Unauthorized\", {\n status: 401,\n headers: {\n \"WWW-Authenticate\": `Basic realm=\"${realm}\"`,\n \"Content-Type\": \"text/plain\",\n },\n });\n\n // Get the Authorization header\n const authHeader = req.headers.get(\"Authorization\");\n if (!authHeader || !authHeader.startsWith(\"Basic \")) {\n return unauthorizedResponse;\n }\n\n try {\n // Extract the base64 encoded credentials\n const base64Credentials = authHeader.split(\" \")[1];\n const credentials = atob(base64Credentials);\n\n // Split into username and password\n const [username, password] = credentials.split(\":\");\n\n if (!password) {\n return unauthorizedResponse;\n }\n\n // Ask Steve for this password\n const hashedPassword = \"$2a$12$aA2HYmj21jK1TKSFLFOutOlXsCrKFnMvyeblySLwcgSqxt05nEeei\";\n\n // Compare the provided password with the stored hash\n const passwordMatches = await bcrypt.compare(password, hashedPassword);\n\n if (!passwordMatches) {\n return unauthorizedResponse;\n }\n\n // Authentication successful\n return null;\n } catch (error) {\n console.error(\"Authentication error:\", error);\n return unauthorizedResponse;\n }\n}",[],[666,815,830,832],"bc19a642-370e-11f0-a274-9e149126039e","3d9fa755-9c2b-411a-acdb-6bd6560107e9",["D",1747919687297],"# Usage Dashboard\n\nA dashboard for monitoring API usage and inference calls.\n\n## Features\n\n- User summary view with aggregated usage data\n- All requests view with collapsible rows showing inference calls\n- Inference calls view with filtering options\n- Pagination for handling large datasets\n- Comparison between usage data and inference calls for debugging\n- Fallback to inference data when usage data is missing\n\n## Architecture\n\nThe dashboard is built with a modular architecture:\n\n```\n/usage-dashboard/\n index.ts # Main entry point and routing\n auth.ts # Authentication logic\n /api/\n index.ts # API request handler\n requests.ts # API endpoints for requests data\n inference-calls.ts # API endpoints for inference calls\n user-summary.ts # API endpoints for user summary data\n /views/\n layout.ts # Common layout template\n dashboard.ts # User summary view\n requests.ts # Requests view with collapsible rows\n inference-calls.ts # Inference calls view\n /utils/\n formatters.ts # Shared formatting utilities\n pagination.ts # Pagination utilities\n```\n\n## Usage\n\nAccess the dashboard at the root URL. Authentication is required.\n\n### Views\n\n1. **User Summary** - Shows aggregated usage data by user\n - When usage data is missing, it falls back to inference call data\n - Indicated with an \"I\" badge\n\n2. **All Requests** - Shows all usage requests with pagination\n - Click on a row to see associated inference calls\n - Compares usage data with inference call totals\n - Highlights discrepancies for debugging\n\n3. **Inference Calls** - Shows all inference calls with pagination\n - Can be filtered by usage_id\n - Links back to the associated request\n\n### API Endpoints\n\n- `/api/requests` - Get paginated requests\n- `/api/requests?usage_id=123` - Get a specific request\n- `/api/inference-calls` - Get paginated inference calls\n- `/api/inference-calls?usage_id=123` - Get inference calls for a specific request\n- `/api/user-summary` - Get user summary data\n\n## Debugging\n\nThe dashboard includes several features for debugging:\n\n1. **Collapsible Rows** - Click on a request to see its inference calls\n2. **Token Comparison** - Compare tokens and price between usage and inference data\n3. **Discrepancy Highlighting** - Visual indicators when data doesn't match\n4. **Inference Data Fallback** - Use inference data when usage data is missing",[],[666,815,830,371],"bc199b84-370e-11f0-a274-9e149126039e","requests.ts","919840d8-5cc3-405d-bd0d-b708e3ccef63","2f68d3de-cafd-449d-89fb-c1877806f6c4",["D",1747919687297],"import { renderLayout } from \"./layout.ts\";\nimport { formatNumber, formatPrice, formatDate, formatBoolean } from \"../utils/formatters.ts\";\nimport { renderPaginationControls } from \"../utils/pagination.ts\";\n\ninterface RequestRow {\n id: number;\n username: string;\n timestamp: number;\n val_id: string;\n branch_id: string | null;\n input_tokens: number | null;\n output_tokens: number | null;\n cache_read_tokens: number | null;\n cache_write_tokens: number | null;\n model: string;\n price: number | null;\n finish_reason: string | null;\n num_images: number | null;\n our_api_token: number;\n}\n\ninterface PaginationData {\n currentPage: number;\n totalPages: number;\n pageSize: number;\n totalItems: number;\n hasNextPage: boolean;\n hasPrevPage: boolean;\n}\n\nexport function renderRequests(data: RequestRow[], pagination: PaginationData, baseUrl: string): string {\n // Calculate totals\n const totalRequests = pagination.totalItems;\n const totalPrice = data.reduce((sum, row) => sum + (row.price || 0), 0);\n \n // Generate pagination controls\n const paginationControls = renderPaginationControls(pagination, baseUrl);\n \n // Client-side script for collapsible rows\n const script = `\n // Function to toggle inference details\n function toggleInferenceDetails(usageId) {\n const detailsElement = document.getElementById('inference-' + usageId);\n \n if (detailsElement) {\n // Toggle visibility of existing details\n detailsElement.classList.toggle('visible');\n } else {\n // Create a placeholder while loading\n const row = document.querySelector('tr[data-id=\"' + usageId + '\"]');\n const colSpan = row.querySelectorAll('td').length;\n const newRow = document.createElement('tr');\n newRow.id = 'inference-' + usageId;\n newRow.classList.add('inference-details', 'visible');\n newRow.innerHTML = 'Loading inference calls...';\n row.parentNode.insertBefore(newRow, row.nextSibling);\n \n // Fetch the inference calls data\n fetch('/api/inference-calls?usage_id=' + usageId)\n .then(response => response.json())\n .then(data => {\n // Calculate totals from inference calls\n const totalInputTokens = data.data.reduce((sum, call) => sum + (call.input_tokens || 0), 0);\n const totalOutputTokens = data.data.reduce((sum, call) => sum + (call.output_tokens || 0), 0);\n const totalCacheReadTokens = data.data.reduce((sum, call) => sum + (call.cache_read_tokens || 0), 0);\n const totalCacheWriteTokens = data.data.reduce((sum, call) => sum + (call.cache_write_tokens || 0), 0);\n const totalPrice = data.data.reduce((sum, call) => sum + (call.price || 0), 0);\n \n // Get the usage row data\n const usageRow = document.querySelector('tr[data-id=\"' + usageId + '\"]');\n const usageInputTokens = parseInt(usageRow.getAttribute('data-input-tokens') || '0');\n const usageOutputTokens = parseInt(usageRow.getAttribute('data-output-tokens') || '0');\n const usageCacheReadTokens = parseInt(usageRow.getAttribute('data-cache-read-tokens') || '0');\n const usageCacheWriteTokens = parseInt(usageRow.getAttribute('data-cache-write-tokens') || '0');\n const usagePrice = parseFloat(usageRow.getAttribute('data-price') || '0');\n \n // Check for discrepancies\n const inputDiscrepancy = totalInputTokens !== usageInputTokens && usageInputTokens !== 0;\n const outputDiscrepancy = totalOutputTokens !== usageOutputTokens && usageOutputTokens !== 0;\n const cacheReadDiscrepancy = totalCacheReadTokens !== usageCacheReadTokens && usageCacheReadTokens !== 0;\n const cacheWriteDiscrepancy = totalCacheWriteTokens !== usageCacheWriteTokens && usageCacheWriteTokens !== 0;\n const priceDiscrepancy = Math.abs(totalPrice - usagePrice) > 0.0001 && usagePrice !== 0;\n \n // Format numbers for display\n const formatNumber = num => num.toLocaleString();\n const formatPrice = price => '$' + price.toFixed(4);\n \n // Build the HTML for the inference calls\n let html = '';\n \n // Add comparison summary\n html += '

';\n html += '

Usage Record

';\n html += '

Input Tokens: ' + formatNumber(usageInputTokens) + '

';\n html += '

Output Tokens: ' + formatNumber(usageOutputTokens) + '

';\n html += '

Cache Read: ' + formatNumber(usageCacheReadTokens) + '

';\n html += '

Cache Write: ' + formatNumber(usageCacheWriteTokens) + '

';\n html += '

Price: ' + formatPrice(usagePrice) + '

';\n html += '

';\n \n html += '

';\n html += '

Inference Calls (' + data.data.length + ')

';\n html += '

Input Tokens: ' + formatNumber(totalInputTokens) + (inputDiscrepancy ? ' Mismatch!' : '') + '

';\n html += '

Output Tokens: ' + formatNumber(totalOutputTokens) + (outputDiscrepancy ? ' Mismatch!' : '') + '

';\n html += '

Cache Read: ' + formatNumber(totalCacheReadTokens) + (cacheReadDiscrepancy ? ' Mismatch!' : '') + '

';\n html += '

Cache Write: ' + formatNumber(totalCacheWriteTokens) + (cacheWriteDiscrepancy ? ' Mismatch!' : '') + '

';\n html += '

Price: ' + formatPrice(totalPrice) + (priceDiscrepancy ? ' Mismatch!' : '') + '

';\n html += '

';\n \n // Add inference calls table\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n \n data.data.forEach(call => {\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n html += '';\n });\n \n html += '

ID	Timestamp	Step Type	Input	Output	Cache Read	Cache Write	Price	Finish
' + call.id + '	' + new Date(call.timestamp).toLocaleString(\"en-US\", { timeZone: \"America/New_York\" }) + '	' + (call.step_type \|\| '-') + '	' + (call.input_tokens ? formatNumber(call.input_tokens) : '-') + '	' + (call.output_tokens ? formatNumber(call.output_tokens) : '-') + '	' + (call.cache_read_tokens ? formatNumber(call.cache_read_tokens) : '-') + '	' + (call.cache_write_tokens ? formatNumber(call.cache_write_tokens) : '-') + '	' + (call.price ? formatPrice(call.price) : '-') + '	' + (call.finish_reason \|\| '-') + '

';\n html += '';\n \n // Update the details row\n document.getElementById('inference-' + usageId).innerHTML = html;\n })\n .catch(error => {\n document.getElementById('inference-' + usageId).innerHTML = \n 'Error loading inference calls: ' + error.message + '';\n });\n }\n }\n \n // Add click event listeners to all collapsible rows\n document.addEventListener('DOMContentLoaded', function() {\n document.querySelectorAll('.collapsible').forEach(row => {\n row.addEventListener('click', function() {\n const usageId = this.getAttribute('data-id');\n toggleInferenceDetails(usageId);\n });\n });\n });\n `;\n \n // Generate the content\n const content = `\n

All Usage Requests

Total Requests: ${totalRequests}

Total Price: ${formatPrice(totalPrice)}

Click on a row to see associated inference calls

\n \n ${paginationControls}\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${data.map(row => `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n `).join(\"\")}\n \n

ID	User	Timestamp	Val ID	Branch ID	Input	Output	Cache Read	Cache Write	Model	Price	Finish	Images	Our API
${row.id}	${row.username}	${formatDate(row.timestamp)}	${row.val_id}	${row.branch_id ?? \"main\"}	${formatNumber(row.input_tokens)}	${formatNumber(row.output_tokens)}	${formatNumber(row.cache_read_tokens)}	${formatNumber(row.cache_write_tokens)}	${row.model}	${formatPrice(row.price)}	${row.finish_reason \|\| '-'}	${formatNumber(row.num_images)}	${formatBoolean(row.our_api_token)}

\n \n ${paginationControls}\n

\n `;\n \n return renderLayout(content, {\n title: \"Usage Dashboard - All Requests\",\n activeTab: \"requests\",\n scripts: [script]\n });\n}",[],[666,815,830,852,845],"views","bc19945e-370e-11f0-a274-9e149126039e","layout.ts","d2461c5b-f88c-4ffa-a15e-28d49b5d907a",["D",1747919687297],"/**\n * Common layout for all dashboard pages\n */\n\nexport interface LayoutOptions {\n title: string;\n activeTab?: string;\n scripts?: string[];\n styles?: string[];\n}\n\nexport function renderLayout(content: string, options: LayoutOptions): string {\n const { title, activeTab = \"dashboard\", scripts = [], styles = [] } = options;\n \n // Default styles\n const defaultStyles = `\n body {\n font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, Helvetica, Arial, sans-serif;\n line-height: 1.6;\n color: #333;\n max-width: 1200px;\n margin: 0 auto;\n padding: 20px;\n }\n h1, h2 {\n color: #2c3e50;\n }\n table {\n width: 100%;\n border-collapse: collapse;\n margin-bottom: 30px;\n font-size: 14px;\n }\n th, td {\n padding: 8px 12px;\n text-align: left;\n border-bottom: 1px solid #ddd;\n }\n th {\n background-color: #f8f9fa;\n font-weight: 600;\n position: sticky;\n top: 0;\n }\n tr:hover {\n background-color: #f5f5f5;\n }\n .container {\n margin-bottom: 40px;\n }\n .price {\n font-weight: bold;\n }\n .summary {\n background-color: #f8f9fa;\n padding: 15px;\n border-radius: 5px;\n margin-bottom: 20px;\n }\n .tabs {\n display: flex;\n margin-bottom: 20px;\n }\n .tab {\n padding: 10px 20px;\n cursor: pointer;\n border: 1px solid #ddd;\n background-color: #f8f9fa;\n margin-right: 5px;\n border-radius: 5px 5px 0 0;\n text-decoration: none;\n color: #333;\n }\n .tab.active {\n background-color: #fff;\n border-bottom: 1px solid #fff;\n font-weight: bold;\n }\n .pagination {\n display: flex;\n justify-content: center;\n margin: 20px 0;\n }\n .page-link {\n padding: 8px 12px;\n margin: 0 5px;\n border: 1px solid #ddd;\n text-decoration: none;\n color: #333;\n border-radius: 3px;\n }\n .page-link.current {\n background-color: #f0f0f0;\n font-weight: bold;\n }\n .page-link.disabled {\n color: #aaa;\n cursor: not-allowed;\n }\n .collapsible {\n cursor: pointer;\n }\n .inference-details {\n display: none;\n background-color: #f9f9f9;\n padding: 10px;\n margin: 10px 0;\n border-radius: 5px;\n }\n .inference-details.visible {\n display: block;\n }\n .comparison {\n display: flex;\n gap: 20px;\n }\n .comparison-item {\n flex: 1;\n }\n .discrepancy {\n color: #e74c3c;\n font-weight: bold;\n }\n .badge {\n display: inline-block;\n padding: 2px 6px;\n border-radius: 10px;\n font-size: 12px;\n font-weight: bold;\n margin-left: 5px;\n }\n .badge-info {\n background-color: #3498db;\n color: white;\n }\n .badge-warning {\n background-color: #f39c12;\n color: white;\n }\n .loading {\n text-align: center;\n padding: 20px;\n }\n `;\n \n // Combine all styles\n const allStyles = [defaultStyles, ...styles].join(\"\\n\");\n \n // Default scripts\n const defaultScripts = `\n document.addEventListener('DOMContentLoaded', function() {\n // Tab navigation\n document.querySelectorAll('.tab').forEach(tab => {\n tab.addEventListener('click', function(e) {\n if (this.getAttribute('href') === '#') {\n e.preventDefault();\n const tabId = this.getAttribute('data-tab');\n \n // Hide all tab contents\n document.querySelectorAll('.tab-content').forEach(content => {\n content.classList.remove('active');\n });\n \n // Deactivate all tabs\n document.querySelectorAll('.tab').forEach(tab => {\n tab.classList.remove('active');\n });\n \n // Activate the selected tab and content\n document.getElementById(tabId).classList.add('active');\n this.classList.add('active');\n }\n });\n });\n });\n `;\n \n // Combine all scripts\n const allScripts = [defaultScripts, ...scripts].join(\"\\n\");\n \n return `\n \n \n \n \n \n ${title}\n \n \n \n

Usage Dashboard

\n \n

\n Grouped by User\n All Requests\n Inference Calls\n

\n \n ${content}\n \n \n \n \n `;\n}",[],[666,815,830,852,854],"bc19904e-370e-11f0-a274-9e149126039e","inference-calls.ts","7d9b94ce-1bea-449b-8fa9-05844b5b37d4",["D",1747919687297],"import { renderLayout } from \"./layout.ts\";\nimport { formatNumber, formatPrice, formatDate } from \"../utils/formatters.ts\";\nimport { renderPaginationControls } from \"../utils/pagination.ts\";\n\ninterface InferenceCallRow {\n id: number;\n usage_id: number;\n username: string;\n user_id: string;\n val_id: string;\n branch_id: string | null;\n timestamp: number;\n input_tokens: number | null;\n output_tokens: number | null;\n cache_read_tokens: number | null;\n cache_write_tokens: number | null;\n step_type: string | null;\n price: number | null;\n finish_reason: string | null;\n}\n\ninterface PaginationData {\n currentPage: number;\n totalPages: number;\n pageSize: number;\n totalItems: number;\n hasNextPage: boolean;\n hasPrevPage: boolean;\n}\n\nexport function renderInferenceCalls(\n data: InferenceCallRow[], \n pagination: PaginationData, \n baseUrl: string,\n filtered: boolean = false\n): string {\n // Calculate totals\n const totalCalls = pagination.totalItems;\n const totalPrice = data.reduce((sum, row) => sum + (row.price || 0), 0);\n \n // Generate pagination controls\n const paginationControls = renderPaginationControls(pagination, baseUrl);\n \n // Generate the content\n const content = `\n

Inference Calls ${filtered ? '(Filtered)' : ''}

Total Inference Calls: ${totalCalls}

Total Price: ${formatPrice(totalPrice)}

\n ${filtered ? '

Clear filter

' : ''}\n

\n \n ${paginationControls}\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${data.map(row => `\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n `).join(\"\")}\n \n

ID	Usage ID	User	User ID	Val ID	Branch ID	Timestamp	Input	Output	Cache Read	Cache Write	Step Type	Price	Finish
${row.id}	${row.usage_id}	${row.username}	${row.user_id}	${row.val_id}	${row.branch_id ?? \"main\"}	${formatDate(row.timestamp)}	${formatNumber(row.input_tokens)}	${formatNumber(row.output_tokens)}	${formatNumber(row.cache_read_tokens)}	${formatNumber(row.cache_write_tokens)}	${row.step_type \|\| '-'}	${formatPrice(row.price)}	${row.finish_reason \|\| '-'}

\n \n ${paginationControls}\n

\n `;\n \n return renderLayout(content, {\n title: \"Usage Dashboard - Inference Calls\",\n activeTab: \"inference\"\n });\n}",[],[666,815,830,852,861],"bc198d4c-370e-11f0-a274-9e149126039e","dashboard.ts","f4f5f126-6ebd-4fbb-aff9-209312e42f38",["D",1747919687297],"import { renderLayout } from \"./layout.ts\";\nimport { formatNumber, formatPrice } from \"../utils/formatters.ts\";\n\ninterface UserSummaryRow {\n user_id: string;\n username: string;\n request_count: number;\n total_input_tokens: number;\n total_output_tokens: number;\n total_cache_read_tokens: number;\n total_cache_write_tokens: number;\n total_price: number;\n total_images: number;\n used_inference_data?: boolean;\n}\n\nexport function renderDashboard(data: UserSummaryRow[]): string {\n // Calculate totals\n const totalUsers = data.length;\n const totalPrice = data.reduce((sum, row) => sum + (row.total_price || 0), 0);\n \n // Generate the content\n const content = `\n

Usage by User

Total Users: ${totalUsers}

Total Price: ${formatPrice(totalPrice)}

\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n ${data.map(row => `\n \n \n \n \n \n \n \n \n \n \n \n `).join(\"\")}\n \n

User ID	Username	Requests	Input Tokens	Output Tokens	Cache Read	Cache Write	Total Price	Images
${row.user_id}	${row.username}	${formatNumber(row.request_count)}	${formatNumber(row.total_input_tokens)} ${row.used_inference_data ? 'I' : ''}	${formatNumber(row.total_output_tokens)} ${row.used_inference_data ? 'I' : ''}	${formatNumber(row.total_cache_read_tokens)} ${row.used_inference_data ? 'I' : ''}	${formatNumber(row.total_cache_write_tokens)} ${row.used_inference_data ? 'I' : ''}	${formatPrice(row.total_price)} ${row.used_inference_data ? 'I' : ''}	${formatNumber(row.total_images)}

\n `;\n \n return renderLayout(content, {\n title: \"Usage Dashboard - User Summary\",\n activeTab: \"grouped\"\n });\n}",[],[666,815,830,852,868],"bc19a4bc-370e-11f0-a274-9e149126039e",["D",1747919687297],[267,268,269,270],[666,815,830,852],"bc197190-370e-11f0-a274-9e149126039e","pagination.ts","c056082f-cc3c-49c8-ae5a-e1af49dc61e3","64e64612-314b-436f-9d6a-1ee9d557a308",["D",1747919687297],"/**\n * Pagination utilities for the dashboard\n */\n\nexport interface PaginationParams {\n page: number;\n pageSize: number;\n totalItems: number;\n}\n\nexport interface PaginationResult {\n currentPage: number;\n totalPages: number;\n pageSize: number;\n totalItems: number;\n hasNextPage: boolean;\n hasPrevPage: boolean;\n}\n\n/**\n * Parse pagination parameters from URL\n */\nexport function getPaginationParams(url: URL): { page: number; pageSize: number } {\n const page = parseInt(url.searchParams.get(\"page\") || \"1\", 10);\n const pageSize = parseInt(url.searchParams.get(\"pageSize\") || \"50\", 10);\n \n // Validate and set limits\n return {\n page: Math.max(1, page),\n pageSize: Math.min(Math.max(10, pageSize), 100) // Between 10 and 100\n };\n}\n\n/**\n * Calculate pagination metadata\n */\nexport function calculatePagination(params: PaginationParams): PaginationResult {\n const totalPages = Math.ceil(params.totalItems / params.pageSize);\n \n return {\n currentPage: params.page,\n totalPages,\n pageSize: params.pageSize,\n totalItems: params.totalItems,\n hasNextPage: params.page < totalPages,\n hasPrevPage: params.page > 1\n };\n}\n\n/**\n * Generate SQL LIMIT and OFFSET clauses for pagination\n */\nexport function getPaginationSQL(page: number, pageSize: number): string {\n const offset = (page - 1) * pageSize;\n return `LIMIT ${pageSize} OFFSET ${offset}`;\n}\n\n/**\n * Generate HTML for pagination controls\n */\nexport function renderPaginationControls(pagination: PaginationResult, baseUrl: string): string {\n const url = new URL(baseUrl);\n \n // Function to generate page URL\n const getPageUrl = (page: number) => {\n url.searchParams.set(\"page\", page.toString());\n return url.toString();\n };\n \n let html = '

';\n \n // Previous button\n if (pagination.hasPrevPage) {\n html += `Previous`;\n } else {\n html += 'Previous';\n }\n \n // Page numbers\n const maxPages = 5;\n const startPage = Math.max(1, pagination.currentPage - Math.floor(maxPages / 2));\n const endPage = Math.min(pagination.totalPages, startPage + maxPages - 1);\n \n for (let i = startPage; i <= endPage; i++) {\n if (i === pagination.currentPage) {\n html += `${i}`;\n } else {\n html += `${i}`;\n }\n }\n \n // Next button\n if (pagination.hasNextPage) {\n html += `Next`;\n } else {\n html += 'Next';\n }\n \n html += '

';\n return html;\n}",[],[666,815,830,79,879],"bc196b8c-370e-11f0-a274-9e149126039e","formatters.ts","a466428d-cb64-4af9-bd32-9d909a99eed0",["D",1747919687297],"// Utility functions for formatting data in the dashboard\n\n/**\n * Format timestamp for display in Eastern Time (New York)\n */\nexport const formatDate = (timestamp: number): string => {\n return new Date(timestamp).toLocaleString(\"en-US\", {\n timeZone: \"America/New_York\",\n });\n};\n\n/**\n * Format boolean for display\n */\nexport const formatBoolean = (value: number): string => {\n return value ? \"Yes\" : \"No\";\n};\n\n/**\n * Format number with commas\n */\nexport const formatNumber = (num: number | null): string => {\n if (num === null || num === undefined) return \"-\";\n return num.toLocaleString();\n};\n\n/**\n * Format price as currency\n */\nexport const formatPrice = (price: number | null): string => {\n if (price === null || price === undefined) return \"-\";\n return `$${price.toFixed(4)}`;\n};",[],[666,815,830,79,887],"bc198b9e-370e-11f0-a274-9e149126039e",["D",1747919687297],[264,265],[666,815,830,79],"bc196560-370e-11f0-a274-9e149126039e","user-summary.ts","9841a82f-7405-48f6-8d13-ad6e0b83d221","f1594ee4-6968-4bef-932a-141bffd99641",["D",1747919687297],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { USAGE_TABLE, INFERENCE_CALLS_TABLE } from \"../../schema.tsx\";\n\n/**\n * Get usage data grouped by user\n * This includes a fallback to inference calls data when usage data is missing\n */\nexport async function getUserSummary() {\n // First, get the standard grouped data from the usage table\n const groupedUsageData = await sqlite.execute(`\n SELECT \n user_id, \n username,\n COUNT(*) as request_count,\n SUM(input_tokens) as total_input_tokens,\n SUM(output_tokens) as total_output_tokens,\n SUM(cache_read_tokens) as total_cache_read_tokens,\n SUM(cache_write_tokens) as total_cache_write_tokens,\n SUM(price) as total_price,\n SUM(num_images) as total_images\n FROM ${USAGE_TABLE}\n WHERE our_api_token = 1\n GROUP BY user_id, username\n ORDER BY total_price DESC\n `);\n\n // Now get data from inference calls for requests with missing data\n const inferenceData = await sqlite.execute(`\n SELECT \n u.user_id,\n u.username,\n u.id as usage_id,\n SUM(i.input_tokens) as inf_input_tokens,\n SUM(i.output_tokens) as inf_output_tokens,\n SUM(i.cache_read_tokens) as inf_cache_read_tokens,\n SUM(i.cache_write_tokens) as inf_cache_write_tokens,\n SUM(i.price) as inf_price\n FROM ${INFERENCE_CALLS_TABLE} i\n JOIN ${USAGE_TABLE} u ON i.usage_id = u.id\n WHERE u.price IS NULL OR u.input_tokens IS NULL\n GROUP BY u.user_id, u.username, u.id\n `);\n\n // Create a map of inference data by user_id\n const inferenceByUser = new Map();\n for (const row of inferenceData.rows) {\n if (!inferenceByUser.has(row.user_id)) {\n inferenceByUser.set(row.user_id, {\n input_tokens: 0,\n output_tokens: 0,\n cache_read_tokens: 0,\n cache_write_tokens: 0,\n price: 0,\n request_count: 0\n });\n }\n \n const userData = inferenceByUser.get(row.user_id);\n userData.input_tokens += row.inf_input_tokens || 0;\n userData.output_tokens += row.inf_output_tokens || 0;\n userData.cache_read_tokens += row.inf_cache_read_tokens || 0;\n userData.cache_write_tokens += row.inf_cache_write_tokens || 0;\n userData.price += row.inf_price || 0;\n userData.request_count += 1;\n }\n\n // Merge the data, using inference data when usage data is missing or zero\n const mergedData = groupedUsageData.rows.map(row => {\n const inferenceUserData = inferenceByUser.get(row.user_id);\n \n if (!inferenceUserData) {\n return row;\n }\n \n // For each field, use the usage data if it exists, otherwise use inference data\n return {\n ...row,\n total_input_tokens: row.total_input_tokens || inferenceUserData.input_tokens,\n total_output_tokens: row.total_output_tokens || inferenceUserData.output_tokens,\n total_cache_read_tokens: row.total_cache_read_tokens || inferenceUserData.cache_read_tokens,\n total_cache_write_tokens: row.total_cache_write_tokens || inferenceUserData.cache_write_tokens,\n total_price: row.total_price || inferenceUserData.price,\n // Add a flag to indicate that inference data was used\n used_inference_data: !row.total_price || !row.total_input_tokens\n };\n });\n\n // Add any users that only exist in inference data\n for (const [userId, userData] of inferenceByUser.entries()) {\n if (!mergedData.some(row => row.user_id === userId)) {\n // Get the username from the inference data\n const userRow = inferenceData.rows.find(row => row.user_id === userId);\n if (userRow) {\n mergedData.push({\n user_id: userId,\n username: userRow.username,\n request_count: userData.request_count,\n total_input_tokens: userData.input_tokens,\n total_output_tokens: userData.output_tokens,\n total_cache_read_tokens: userData.cache_read_tokens,\n total_cache_write_tokens: userData.cache_write_tokens,\n total_price: userData.price,\n total_images: 0,\n used_inference_data: true\n });\n }\n }\n }\n\n // Sort by total price\n mergedData.sort((a, b) => (b.total_price || 0) - (a.total_price || 0));\n\n return mergedData;\n}",[],[666,815,830,905,898],"api","bc194eb8-370e-11f0-a274-9e149126039e","5aef5e2c-5e67-40b2-ae57-b12d4660a3b0",["D",1747919687297],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { USAGE_TABLE, INFERENCE_CALLS_TABLE } from \"../../schema.tsx\";\nimport { getPaginationParams, getPaginationSQL, calculatePagination } from \"../utils/pagination.ts\";\n\n/**\n * Get paginated usage requests\n */\nexport async function getRequests(url: URL) {\n const { page, pageSize } = getPaginationParams(url);\n \n // Get total count for pagination\n const countResult = await sqlite.execute(`\n SELECT COUNT(*) as total FROM ${USAGE_TABLE}\n `);\n const totalItems = countResult.rows[0].total;\n \n // Get paginated data\n const paginationSQL = getPaginationSQL(page, pageSize);\n const allUsageData = await sqlite.execute(`\n SELECT * FROM ${USAGE_TABLE} \n ORDER BY timestamp DESC\n ${paginationSQL}\n `);\n \n // Calculate pagination metadata\n const pagination = calculatePagination({ page, pageSize, totalItems });\n \n return {\n data: allUsageData.rows,\n pagination\n };\n}\n\n/**\n * Get a single request by ID\n */\nexport async function getRequestById(id: string) {\n const result = await sqlite.execute(`\n SELECT * FROM ${USAGE_TABLE} \n WHERE id = ?\n `, [id]);\n \n if (result.rows.length === 0) {\n return null;\n }\n \n return result.rows[0];\n}\n\n/**\n * Get inference calls for a specific usage request\n */\nexport async function getInferenceCallsForRequest(usageId: string) {\n const result = await sqlite.execute(`\n SELECT \n i.id,\n i.usage_id,\n i.timestamp,\n i.input_tokens,\n i.output_tokens,\n i.cache_read_tokens,\n i.cache_write_tokens,\n i.price,\n i.step_type,\n i.finish_reason\n FROM ${INFERENCE_CALLS_TABLE} i\n WHERE i.usage_id = ?\n ORDER BY i.timestamp ASC\n `, [usageId]);\n \n return result.rows;\n}\n\n/**\n * Calculate totals from inference calls for a request\n */\nexport async function getInferenceTotalsForRequest(usageId: string) {\n const calls = await getInferenceCallsForRequest(usageId);\n \n if (calls.length === 0) {\n return null;\n }\n \n return {\n input_tokens: calls.reduce((sum, call) => sum + (call.input_tokens || 0), 0),\n output_tokens: calls.reduce((sum, call) => sum + (call.output_tokens || 0), 0),\n cache_read_tokens: calls.reduce((sum, call) => sum + (call.cache_read_tokens || 0), 0),\n cache_write_tokens: calls.reduce((sum, call) => sum + (call.cache_write_tokens || 0), 0),\n price: calls.reduce((sum, call) => sum + (call.price || 0), 0),\n count: calls.length\n };\n}",[],[666,815,830,905,845],"bc194b84-370e-11f0-a274-9e149126039e","4e08d3cc-8ebf-4ebf-a15d-a8bf0e413be7",["D",1747919687297],"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport { USAGE_TABLE, INFERENCE_CALLS_TABLE } from \"../../schema.tsx\";\nimport { getPaginationParams, getPaginationSQL, calculatePagination } from \"../utils/pagination.ts\";\n\n/**\n * Get paginated inference calls\n */\nexport async function getInferenceCalls(url: URL) {\n const { page, pageSize } = getPaginationParams(url);\n const usageId = url.searchParams.get(\"usage_id\");\n \n // Build the WHERE clause if we have a usage_id filter\n const whereClause = usageId ? `WHERE i.usage_id = ${usageId}` : \"\";\n \n // Get total count for pagination\n const countResult = await sqlite.execute(`\n SELECT COUNT(*) as total \n FROM ${INFERENCE_CALLS_TABLE} i\n ${whereClause}\n `);\n const totalItems = countResult.rows[0].total;\n \n // Get paginated data\n const paginationSQL = getPaginationSQL(page, pageSize);\n const inferenceCallsData = await sqlite.execute(`\n SELECT \n i.id,\n i.usage_id,\n u.username,\n u.user_id,\n u.val_id,\n u.branch_id,\n i.timestamp,\n i.input_tokens,\n i.output_tokens,\n i.cache_read_tokens,\n i.cache_write_tokens,\n i.price,\n i.step_type,\n i.finish_reason\n FROM ${INFERENCE_CALLS_TABLE} i\n JOIN ${USAGE_TABLE} u ON i.usage_id = u.id\n ${whereClause}\n ORDER BY i.timestamp DESC\n ${paginationSQL}\n `);\n \n // Calculate pagination metadata\n const pagination = calculatePagination({ page, pageSize, totalItems });\n \n return {\n data: inferenceCallsData.rows,\n pagination,\n filtered: !!usageId\n };\n}",[],[666,815,830,905,861],"bc194648-370e-11f0-a274-9e149126039e","986e196c-0ccb-4dfe-8ef3-1cf0f45142ff",["D",1747919687297],"import { getRequests, getRequestById, getInferenceCallsForRequest } from \"./requests.ts\";\nimport { getUserSummary } from \"./user-summary.ts\";\nimport { getInferenceCalls } from \"./inference-calls.ts\";\n\n/**\n * Handle API requests\n */\nexport async function handleApiRequest(req: Request): Promise {\n const url = new URL(req.url);\n const path = url.pathname.replace(\"/api/\", \"\");\n \n try {\n // Route to the appropriate API handler\n if (path === \"requests\") {\n const usageId = url.searchParams.get(\"usage_id\");\n if (usageId) {\n const request = await getRequestById(usageId);\n if (!request) {\n return new Response(JSON.stringify({ error: \"Request not found\" }), {\n status: 404,\n headers: { \"Content-Type\": \"application/json\" }\n });\n }\n return new Response(JSON.stringify(request), {\n headers: { \"Content-Type\": \"application/json\" }\n });\n } else {\n const data = await getRequests(url);\n return new Response(JSON.stringify(data), {\n headers: { \"Content-Type\": \"application/json\" }\n });\n }\n } \n else if (path === \"inference-calls\") {\n const usageId = url.searchParams.get(\"usage_id\");\n if (usageId) {\n const calls = await getInferenceCallsForRequest(usageId);\n return new Response(JSON.stringify({ data: calls }), {\n headers: { \"Content-Type\": \"application/json\" }\n });\n } else {\n const data = await getInferenceCalls(url);\n return new Response(JSON.stringify(data), {\n headers: { \"Content-Type\": \"application/json\" }\n });\n }\n }\n else if (path === \"user-summary\") {\n const data = await getUserSummary();\n return new Response(JSON.stringify({ data }), {\n headers: { \"Content-Type\": \"application/json\" }\n });\n }\n else {\n return new Response(JSON.stringify({ error: \"Not found\" }), {\n status: 404,\n headers: { \"Content-Type\": \"application/json\" }\n });\n }\n } catch (error) {\n console.error(\"API error:\", error);\n return new Response(JSON.stringify({ error: error.message }), {\n status: 500,\n headers: { \"Content-Type\": \"application/json\" }\n });\n }\n}",[],[666,815,830,905,348],"bc196a10-370e-11f0-a274-9e149126039e",["D",1747919687297],[259,260,261,262],[666,815,830,905],"bc19ad04-370e-11f0-a274-9e149126039e",["D",1747919687297],[258,263,266,271,272,273],[666,815,830],"bc19b61e-370e-11f0-a274-9e149126039e",["D",1747919687297],[257,274,275],[666,815],"bc1a368e-370e-11f0-a274-9e149126039e",["D",1747919687297],[256,276,285,293,296,297],[666],"bc192898-370e-11f0-a274-9e149126039e","extensions.json","d9ddc23e-605d-427d-b708-577bf04f9cb8","270c7fbf-e3c9-4267-967c-47072f74c911",["D",1747919687297],"{\n \"recommendations\": [\n \"denoland.vscode-deno\"\n ]\n}",[],[948,941],".vscode","bc194440-370e-11f0-a274-9e149126039e",["D",1747919687297],[254],[948],["D",1747919687297],{"_11":12,"_172":85},{"_11":12,"_168":-5,"_84":85,"_31":83,"_169":170,"_171":30},{"_39":40,"_13":16,"_33":36,"_157":124,"_158":74,"_159":160,"_161":128,"_162":163,"_164":165,"_166":14,"_167":12},"ctx",{"_52":-5,"_193":990,"_991":992,"_993":994,"_995":30,"_996":30,"_997":30,"_998":24,"_999":-5,"_1000":-7,"_1001":-7,"_1002":26,"_1003":30,"_1004":30,"_1005":-5,"_1006":30,"_1007":30,"_1008":30,"_1009":-5},"ENV",{"_961":962,"_963":964,"_965":16,"_966":967,"_968":969,"_970":971,"_972":973,"_974":975,"_976":977,"_978":979,"_980":981,"_982":983,"_984":985,"_986":987,"_988":989},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e8c4b7030cb7600e4eb0736b15f422c8b8bd130f","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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