\n \n

GitHub Repo ZIP API

Download any GitHub repository or subdirectory as a ZIP file.

\n \n \n

Usage

\n GET /zip?source=<github-url>\n

\n \n

Examples

Full repository
Subdirectory

\n \n

Try it out

\n \n

\n \n \n `;\n});\n\nexport default app.fetch;","2025-11-08T20:27:00.605Z","github-zip-api","https://www.val.town/x/kamalnrf/github-zip-api/code/","kamalnrf","Download any GitHub repository or subdirectory as a ZIP file via",[207,210,213,216,219,222],{"_129":208,"_131":209,"_133":22},125,"

Examples

",{"_129":211,"_131":212,"_133":22},126,"

Full repository
Subdirectory

",{"_129":223,"_131":224,"_133":22},130,"

",2,{"_104":227,"_106":228,"_108":229,"_110":230,"_112":231,"_114":232,"_116":233,"_118":234,"_120":235,"_122":-5,"_124":-5,"_126":236,"_193":340},"019a56fd-ff71-7014-9178-d8928523a4b0","https://www.val.town/x/tomatosoup/stevensDemo/code/dailyBriefing/sendDailyBrief.ts","35460222-bab8-11f0-a994-0224a6c84d84","sendDailyBrief.ts","import { Bot } from \"https://deno.land/x/grammy@v1.35.0/mod.ts\";\nimport { DateTime } from \"https://esm.sh/luxon@3.4.4\";\nimport Anthropic from \"npm:@anthropic-ai/sdk@0.24.3\";\nimport { backstory } from \"../backstory.ts\";\nimport {\n BOT_SENDER_ID,\n BOT_SENDER_NAME,\n storeChatMessage,\n} from \"../importers/handleTelegramMessage.ts\";\nimport {\n formatMemoriesForPrompt,\n getRelevantMemories,\n} from \"../memoryUtils.ts\";\n\nasync function generateBriefingContent(anthropic, memories, today, isSunday) {\n try {\n const weekdaysHelp = generateWeekDays(today);\n // Create system prompt\n const systemPrompt = `${backstory}`;\n\n // Create user message\n const userMessage = {\n role: \"user\",\n content: `Today it is your duty to provide a daily briefing summarizing important information for the day. The briefing should have the following sections:\n\nBegin with a formal morning greeting, maintaining professional decorum. Try to mix up the greetings, for example mention the season or the weather.\n\n*Today*\n\nNote any reminders about today's affairs.\nProvide a summary of today's meteorological conditions.\nDetail the day's postal correspondence, highlighting any significant items such as important documents, personal letters, or parcels. Advertisements need not be mentioned. If there is no mail, this section may be omitted.\n\n*Looking Ahead*\n\nOffer a brief overview of forthcoming engagements and tasks for the remainder of the week, with particular attention to tomorrow's schedule.\nShould there be noteworthy meteorological conditions anticipated later in the week (such as precipitation or significant temperature variations), these should be mentioned. If the weather is unremarkable, this need not be addressed.\nOne concise paragraph, 2-3 sentences maximum, without bullet points or subsections.\n\n*Daily fact*\n\nInclude the fun fact for today from the memories. This will be labeled with \"fun fact:\" in the text field.\nIf no fun fact is available for today, you may omit this section.\n\nSign off with a formal greeting.\n\nUse the following memories to fill in the information for your briefing:\n\n${formatMemoriesForPrompt(memories)}\n\nResponse guidelines:\n\nAlways follow these rules:\n- Use Telegram-friendly markdown format (supports *bold*, _italic_, [links](http://example.com))). Do not use markdown headings like ## as they are not supported in Telegram messages.\n- Make the briefing easily skimmable by using clear sections. Use bolded text to begin each section, eg *Today*\n- Use emojis to help reinforce the content visually. Use emojis for specific concepts like sun/rainy weather, paper forms for a logistical todo, etc. Don't use emojis for general concepts like \"today\"\n\n- Address the message to \"Sir and Madam\".\n- Maintain a formal and professional tone throughout.\n- Use phrases characteristic of Stevens' speech patterns, such as:\n - \"I should say...\"\n - \"I would venture...\"\n - \"If I may be so bold...\"\n - \"It would appear that...\"\n - \"One might observe...\"\n - \"I trust you will find...\"\n - \"I would be remiss not to mention...\"\n- Avoid contractions (use \"do not\" instead of \"don't\")\n- Express opinions tentatively and with great deference\n- Use British English spelling and terminology\n- Keep the content concise but informative, maintaining the highest standards of professional communication\n- You should reference upcoming days as \"today\", \"tomorrow\", \"Thursday\", etc. rather than using dates. Here's a guide:\n${weekdaysHelp}`,\n };\n\n console.log(\"Sending prompt to Anthropic...\", userMessage);\n\n const response = await anthropic.messages.create({\n model: \"claude-3-7-sonnet-latest\",\n max_tokens: 30000,\n system: systemPrompt,\n thinking: {\n type: \"enabled\",\n budget_tokens: 24000,\n },\n messages: [userMessage],\n });\n\n const text = response.content.find((block) => block.type === \"text\").text;\n\n return text;\n } catch (error) {\n console.error(\"Briefing generation error:\", error);\n throw error;\n }\n}\n\nexport async function sendDailyBriefing(chatId?: string, today?: DateTime) {\n // Get API keys from environment\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n const telegramToken = Deno.env.get(\"TELEGRAM_TOKEN\");\n\n // If no chatId is provided, try to get it from environment variables\n if (!chatId) {\n chatId = Deno.env.get(\"TELEGRAM_CHAT_ID\");\n }\n\n if (!apiKey) {\n console.error(\"Anthropic API key is not configured.\");\n return;\n }\n\n if (!telegramToken) {\n console.error(\"TELEGRAM_TOKEN is not configured.\");\n return;\n }\n\n if (!chatId) {\n console.error(\"No chat ID provided or found in environment variables.\");\n return;\n }\n\n // Initialize Anthropic client\n const anthropic = new Anthropic({ apiKey });\n\n // Initialize Telegram bot\n const bot = new Bot(telegramToken);\n\n // Use provided date or get today's date in US Eastern Time\n if (!today) {\n today = DateTime.now().setZone(\"America/New_York\").startOf(\"day\");\n }\n\n // Get the date of the last Sunday\n const lastSunday = today.startOf(\"week\").minus({ days: 1 });\n\n // Fetch relevant memories using the utility function\n const memories = await getRelevantMemories();\n\n console.log(memories);\n\n // Check if today is Sunday (1 is Sunday in Luxon)\n const isSunday = today.weekday === 7;\n\n // Generate briefing content\n const content = await generateBriefingContent(\n anthropic,\n memories,\n today,\n isSunday\n );\n\n console.log(\"content\", content);\n\n console.log(\"Sending Telegram message...\");\n\n // Format message for Telegram\n // Telegram supports Markdown V2, but it's more restrictive than regular Markdown\n // For simplicity, we'll use the content as is, which should work with basic formatting\n\n // First send the title as a separate message\n\n // disabled title for now, it seemes unnecessary...\n // await bot.api.sendMessage(chatId, `*${title}*`, { parse_mode: \"Markdown\" });\n\n // Then send the main content\n // Telegram has a 4096 character limit per message, so we might need to split it\n const MAX_LENGTH = 4000; // A bit less than 4096 to be safe\n\n if (content.length <= MAX_LENGTH) {\n await bot.api.sendMessage(chatId, content, { parse_mode: \"Markdown\" });\n // Store the briefing in chat history\n await storeChatMessage(\n chatId,\n BOT_SENDER_ID,\n BOT_SENDER_NAME,\n content,\n true\n );\n } else {\n // Split the content into chunks\n const chunks = [];\n let currentChunk = \"\";\n\n for (const line of content.split(\"\\n\")) {\n if ((currentChunk + line + \"\\n\").length > MAX_LENGTH) {\n chunks.push(currentChunk);\n currentChunk = line + \"\\n\";\n } else {\n currentChunk += line + \"\\n\";\n }\n }\n\n if (currentChunk) {\n chunks.push(currentChunk);\n }\n\n // Send each chunk as a separate message and store in chat history\n for (const chunk of chunks) {\n await bot.api.sendMessage(chatId, chunk, { parse_mode: \"Markdown\" });\n // Store each chunk in chat history\n await storeChatMessage(\n chatId,\n BOT_SENDER_ID,\n BOT_SENDER_NAME,\n chunk,\n true\n );\n // Add a small delay to avoid rate limiting\n await new Promise((resolve) => setTimeout(resolve, 500));\n }\n }\n\n console.log(\"Daily briefing sent successfully via Telegram.\");\n return \"Daily briefing sent successfully.\";\n}\n\nfunction generateWeekDays(today) {\n let output = [];\n\n // Add today\n output.push(`* Today: ${today.toFormat(\"EEEE, MMMM d\")}`);\n\n // Add tomorrow\n const tomorrow = today.plus({ days: 1 });\n output.push(`* Tomorrow: ${tomorrow.toFormat(\"EEEE, MMMM d\")}`);\n\n // Add rest of the week\n for (let i = 2; i < 7; i++) {\n const futureDay = today.plus({ days: i });\n output.push(`* ${futureDay.toFormat(\"EEEE, MMMM d\")}`);\n }\n\n return output.join(\"\\n\");\n}\n\n// Example usage:\n// const weekDays = generateWeekDays();\n// console.log(weekDays);\n\n// Export a function that calls sendDailyBriefing with no parameters\n// This maintains backward compatibility with existing cron jobs\nexport default async function (overrideToday?: DateTime) {\n return await sendDailyBriefing(undefined, overrideToday);\n}\n","2025-11-06T02:27:57.864Z","stevensDemo","https://www.val.town/x/tomatosoup/stevensDemo/code/","tomatosoup",[237,240,242,245,248,251,254,256,259,262,265,268,270,273,275,278,281,284,287,290,293,296,298,300,303,306,309,312,314,316,319,322,323,325,328,331,334,337],{"_129":238,"_131":239,"_133":22},1,"import { Bot } from \"https://deno.land/x/grammy@v1.35.0/mod.ts\";",{"_129":225,"_131":241,"_133":22},"import { DateTime } from \"https://esm.sh/luxon@3.4.4\";",{"_129":243,"_131":244,"_133":140},3,"import Anthropic from \"npm:@anthropic-ai/sdk@0.24.3\";",{"_129":246,"_131":247,"_133":22},4,"import { backstory } from \"../backstory.ts\";",{"_129":249,"_131":250,"_133":22},5,"import {",{"_129":252,"_131":253,"_133":22},13,"} from \"../memoryUtils.ts\";",{"_129":255,"_131":72,"_133":22},14,{"_129":257,"_131":258,"_133":140},15,"async function generateBriefingContent(anthropic, memories, today, isSunday) {",{"_129":260,"_131":261,"_133":22},16," try {",{"_129":263,"_131":264,"_133":22},17," const weekdaysHelp = generateWeekDays(today);",{"_129":266,"_131":267,"_133":22},74," };",{"_129":269,"_131":72,"_133":22},75,{"_129":271,"_131":272,"_133":140},76," console.log(\"Sending prompt to Anthropic...\", userMessage);",{"_129":274,"_131":72,"_133":22},77,{"_129":276,"_131":277,"_133":140},78," const response = await anthropic.messages.create({",{"_129":279,"_131":280,"_133":22},79," model: \"claude-3-7-sonnet-latest\",",{"_129":282,"_131":283,"_133":22},80," max_tokens: 30000,",{"_129":285,"_131":286,"_133":22},98,"export async function sendDailyBriefing(chatId?: string, today?: DateTime) {",{"_129":288,"_131":289,"_133":22},99," // Get API keys from environment",{"_129":291,"_131":292,"_133":140},100," const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");",{"_129":294,"_131":295,"_133":22},101," const telegramToken = Deno.env.get(\"TELEGRAM_TOKEN\");",{"_129":297,"_131":72,"_133":22},102,{"_129":299,"_131":72,"_133":22},107,{"_129":301,"_131":302,"_133":22},108," if (!apiKey) {",{"_129":304,"_131":305,"_133":140},109," console.error(\"Anthropic API key is not configured.\");",{"_129":307,"_131":308,"_133":22},110," return;",{"_129":310,"_131":311,"_133":22},111," }",{"_129":313,"_131":311,"_133":22},121,{"_129":315,"_131":72,"_133":22},122,{"_129":317,"_131":318,"_133":140},123," // Initialize Anthropic client",{"_129":320,"_131":321,"_133":140},124," const anthropic = new Anthropic({ apiKey });",{"_129":208,"_131":72,"_133":22},{"_129":211,"_131":324,"_133":22}," // Initialize Telegram bot",{"_129":326,"_131":327,"_133":22},145," // Generate briefing content",{"_129":329,"_131":330,"_133":22},146," const content = await generateBriefingContent(",{"_129":332,"_131":333,"_133":140},147," anthropic,",{"_129":335,"_131":336,"_133":22},148," memories,",{"_129":338,"_131":339,"_133":22},149," today,",9,{"_104":342,"_106":343,"_108":229,"_110":344,"_112":345,"_114":232,"_116":233,"_118":234,"_120":235,"_122":-5,"_124":-5,"_126":346,"_193":238},"019a56fd-ff71-7014-9179-72d867fa044c","https://www.val.town/x/tomatosoup/stevensDemo/code/README.md","README.md","# Stevens\n\n> \"The great butlers are great by virtue of their ability to inhabit their professional role and inhabit it to the utmost; they will not be shaken out by external events, however surprising, alarming or vexing.\"\n>\n> — the great butler Stevens, in *The Remains of the Day* by Kazuo Ishiguro\n\nStevens is your personal digital butler, ever vigilant and ever helpful in managing the complexities of your digital life.\n\nMuch like his literary namesake, he takes great pride in his work, maintaining a dignified and professional demeanor while ensuring your affairs are in perfect order.\n\nIn the grand tradition of English butlers, Stevens has been designed to be both unobtrusive and indispensable. His primary duty is to learn about your life's context and provide you with daily briefs that keep you informed while saving you precious time.\n\n## Technical Architecture\n\n**⚠️ important caveat: the admin dashboard doesn't have auth! currently it just relies on security by obscurity of people not knowing the url to a private val. this is not very secure. if you fork this project and put sensitive data in a database you should think carefully about how to secure it.**\n\nStevens has been designed with the utmost simplicity and extensibility, much like a well-organized household. At the heart of his operation lies a single \"memories\" table - a digital equivalent of a butler's meticulous records. This table serves as the foundation for all of Stevens' operations.\n\n### Core Components\n\n1. **Memories Table**: A freeform repository of all that Stevens deems worth remembering, much like a butler's mental catalog of household affairs.\n\n **Schema**:\n - `id`: String - Unique identifier for each memory (generated using nanoid)\n - `date`: String - Date in ISO format (YYYY-MM-DD)\n - `text`: String - Content of the memory (e.g., \"weather forecast: High of 75, low of 60, partly cloudy\")\n - `createdBy`: String - Source of the memory (e.g., \"weather\", \"email\")\n - `createdDate`: Number - Timestamp in milliseconds when the memory was created\n - `tags`: String - Categories for organizing memories (e.g., \"weather\")\n\n2. **Importers**: These are Stevens' eyes and ears in the digital world, gathering information from various sources:\n - Weather reports\n - Postal service updates\n - Ingesting messages from email or TElegram\n - And other sources of information that might be of interest to you\n\n3. **Workflows**: Stevens' carefully orchestrated routines that utilize his memories to assist you:\n - Morning briefs sent via Telegram or email\n - Responding to questions via text message\n\n\n### Folder layout\n\n- `importers`: cron jobs for importing data into the memories table\n- `dashboard`: the admin view for showing the memories notebook + visualizing imports\n- `dailyBriefing`: stuff related to sending a daily update via telegram\n- `dbUtils`: little one-off scripts for database stuff\n\n## Hiring your own Stevens\n\nThis project isn't intended to be runnable out of the box, but you can adapt it for yourself if you fork the code.\n\nYou'll need to set up some environment variables to make it run.\n\n- `ANTHROPIC_API_KEY` for LLM calls\n- You'll need to follow [these instructions](https://docs.val.town/integrations/telegram/) to make a telegram bot, and set `TELEGRAM_TOKEN`. You'll also need to get a `TELEGRAM_CHAT_ID` in order to have the bot remember chat contents.\n- For the Google Calendar integration you'll need `GOOGLE_CALENDAR_ACCOUNT_ID` and `GOOGLE_CALENDAR_CALENDAR_ID`. See [these instuctions](https://www.val.town/v/stevekrouse/pipedream) for details.\n\n**important caveat: the admin dashboard doesn't have auth! currently it just relies on security by obscurity of people not knowing the url to a private val. this is not very secure, if you put sensitive data in a database you should think carefully about how to secure it.**\n\nOverall it's a simple enough project that I encourage you to just copy the ideas and run in your own direction rather than try to use it as-is.",[347,349,350,352,354],{"_129":153,"_131":348,"_133":22},"You'll need to set up some environment variables to make it run.",{"_129":155,"_131":72,"_133":22},{"_129":157,"_131":351,"_133":140},"- `ANTHROPIC_API_KEY` for LLM calls",{"_129":160,"_131":353,"_133":22},"- You'll need to follow [these instructions](https://docs.val.town/integrations/telegram/) to make a telegram bot, and set `TELEGRAM_TOKEN`. You'll also need to get a `TELEGRAM_CHAT_ID` in order to have the bot remember chat contents.",{"_129":162,"_131":355,"_133":22},"- For the Google Calendar integration you'll need `GOOGLE_CALENDAR_ACCOUNT_ID` and `GOOGLE_CALENDAR_CALENDAR_ID`. See [these instuctions](https://www.val.town/v/stevekrouse/pipedream) for details.",{"_104":357,"_106":358,"_108":229,"_110":359,"_112":360,"_114":232,"_116":233,"_118":234,"_120":235,"_122":-5,"_124":-5,"_126":361,"_193":450},"019a56fd-ff71-7014-9179-5fe431ebe021","https://www.val.town/x/tomatosoup/stevensDemo/code/importers/handleUSPSEmail.ts","handleUSPSEmail.ts","import { DateTime } from \"https://esm.sh/luxon@3.4.4\";\nimport Anthropic from \"npm:@anthropic-ai/sdk@0.24.3\";\n\nconst RECIPIENTS = [\"Geoffrey\", \"Maggie\"] as const;\n\nfunction parseDateFromSubject(subject: string): string | null {\n const match = subject.match(/(\\w{3}), (\\d{1,2}\\/\\d{1,2})/);\n if (match) {\n return `${match[1]} ${match[2]}`;\n }\n return null;\n}\n\ntype ImageSummary = {\n sender: string;\n recipient: (typeof RECIPIENTS)[number] | \"both\" | \"other\";\n type: \"personal\" | \"transactional\" | \"ad\";\n notes?: string;\n};\n\nasync function analyzeHtmlContent(\n anthropic: Anthropic,\n htmlContent: string,\n imageSummaries: ImageSummary[]\n) {\n try {\n const response = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-latest\",\n max_tokens: 4196,\n messages: [\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text: `Analyze the following content from an email and provide a response as a JSON blob (only JSON, no other text) with two parts.\n\n The email is from the USPS showing mail I'm receiving. Metadata about packages is stored directly in the email. Info about mail pieces is in images, so I've included summaries of those as well.\n\n Your response should include:\n\n 1. An array of upcoming packages, where each package has:\n - sender: string (name of the sender)\n - status: \"expected today\" | \"expected 1-2 days\" | \"awaiting from sender\"\n\n 2. A short positive couple sentences summarizing the mail, like a competent executive assistant would. Examples:\n - \"Quiet day today! Just a couple ads, nothing of note\"\n - \"A few packages arriving soon, keep an eye out!\"\n - \"Looks like a couple possibly important things today, make sure to review the letter from the IRS.\"\n\n Respond with a JSON object in this format:\n {\n \"packages\": [\n { \"sender\": string, \"status\": string },\n ...\n ],\n \"summary\": string\n }\n\n Do not include any other text in your response, only a JSON blob.\n\n Here's the HTML content of the email:\n\n ${htmlContent}\n\n And here is info about the mail pieces:\n\n ${JSON.stringify(imageSummaries)}`,\n },\n ],\n },\n ],\n });\n\n return JSON.parse(response.content[0].text);\n } catch (error) {\n console.error(\"HTML analysis error:\", error);\n return { packages: [], summary: \"Unable to analyze email content.\" };\n }\n}\n\nexport default async function (e: Email) {\n console.log(\"email content\");\n console.log(e.html);\n console.log(e.text);\n\n // Get Anthropic API key from environment\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n console.error(\"Anthropic API key is not configured for this val.\");\n return;\n }\n\n // Initialize Anthropic client\n const anthropic = new Anthropic({ apiKey });\n\n // Process each image attachment serially\n const summaries = [];\n for (const [index, attachment] of e.attachments.entries()) {\n try {\n const imageData = await attachment.arrayBuffer();\n const base64Image = btoa(\n String.fromCharCode(...new Uint8Array(imageData))\n );\n\n const response = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-latest\",\n max_tokens: 4196,\n messages: [\n {\n role: \"user\",\n content: [\n {\n type: \"image\",\n source: {\n type: \"base64\",\n media_type: attachment.type,\n data: base64Image,\n },\n },\n {\n type: \"text\",\n text: `This is a scan of a piece of mail we received at our household. Respond with a JSON blob summarizing the piece of mail, with the following fields:\n\n {\n /* Name of sender as written on mail, e.g. \"Delta Airlines\" for a business, or \"John Doe\" for an individual */\n sender: string;\n\n /* Name of recipient. Usually should be either Geoffrey or Maggie (Margaret). If it's to both of us, use \"Both\". For any other recipient use \"Other\" */\n recipient: \"Geoffrey\" | \"Maggie\" | \"Both\" | \"Other\";\n\n /* Guess what type of mail it is. Usually, mail from an individual is personal. \"Transactional\" is things like bills or reports that might require action. If it's clearly an ad (eg, an offer for a credit card, or a catalog), mark it \"ad\". If you're not sure, lean \"transactional\" so we don't miss those by accident. */\n type: \"personal\" | \"transactional\" | \"ad\"\n\n /* Optional: any extra writing on the scan, e.g. \"important, action required\" */\n notes?: string;\n }\n\n Don't return any other text in your response, just a JSON blob.\n `,\n },\n ],\n },\n ],\n });\n\n const parsedResponse = JSON.parse(response.content[0].text);\n summaries.push(parsedResponse);\n } catch (error) {\n console.error(`Image analysis error:`, error);\n summaries.push({\n sender: \"Error\",\n recipient: \"Error\",\n type: \"error\",\n notes: `Image ${index + 1} Analysis Failed: ${error.message}`,\n });\n }\n }\n\n // Analyze HTML content\n const htmlAnalysis = await analyzeHtmlContent(\n anthropic,\n e.html || \"\",\n summaries\n );\n\n const localDate = DateTime.now().setZone(\"America/New_York\").toISO();\n\n // Create memories for mail and packages\n const memories = [];\n\n // Memory for mail\n if (summaries.length > 0) {\n memories.push(`expecting mail: ${JSON.stringify(summaries)}`);\n }\n\n // Memory for packages\n if (htmlAnalysis.packages.length > 0) {\n memories.push(\n `expecting package: ${JSON.stringify(htmlAnalysis.packages)}`\n );\n }\n\n // Insert memories into SQLite\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n const { nanoid } = await import(\"https://esm.sh/nanoid@5.0.5\");\n\n // Insert memories\n for (const memory of memories) {\n await sqlite.execute({\n sql: `INSERT INTO memories (id, date, text, createdBy, createdDate, tags)\n VALUES (:id, :date, :text, :createdBy, :createdDate, :tags)`,\n args: {\n id: nanoid(10),\n date: localDate,\n text: memory,\n createdBy: \"usps\",\n createdDate: Date.now(),\n tags: \"mail\",\n },\n });\n }\n\n console.log(\"Memories inserted successfully.\");\n}\n",[362,363,364,365,367,369,372,375,378,381,384,386,388,391,394,397,399,402,404,406,409,411,413,415,417,419,421,424,427,429,432,434,436,439,442,444,447],{"_129":238,"_131":241,"_133":22},{"_129":225,"_131":244,"_133":140},{"_129":243,"_131":72,"_133":22},{"_129":246,"_131":366,"_133":22},"const RECIPIENTS = [\"Geoffrey\", \"Maggie\"] as const;",{"_129":368,"_131":72,"_133":22},20,{"_129":370,"_131":371,"_133":22},21,"async function analyzeHtmlContent(",{"_129":373,"_131":374,"_133":140},22," anthropic: Anthropic,",{"_129":376,"_131":377,"_133":22},23," htmlContent: string,",{"_129":379,"_131":380,"_133":22},24," imageSummaries: ImageSummary[]",{"_129":382,"_131":383,"_133":22},25,") {",{"_129":385,"_131":261,"_133":22},26,{"_129":387,"_131":277,"_133":140},27,{"_129":389,"_131":390,"_133":22},28," model: \"claude-3-5-sonnet-latest\",",{"_129":392,"_131":393,"_133":22},29," max_tokens: 4196,",{"_129":395,"_131":396,"_133":22},85," console.log(e.text);",{"_129":398,"_131":72,"_133":22},86,{"_129":400,"_131":401,"_133":140},87," // Get Anthropic API key from environment",{"_129":403,"_131":292,"_133":140},88,{"_129":405,"_131":302,"_133":22},89,{"_129":407,"_131":408,"_133":140},90," console.error(\"Anthropic API key is not configured for this val.\");",{"_129":410,"_131":308,"_133":22},91,{"_129":412,"_131":311,"_133":22},92,{"_129":414,"_131":72,"_133":22},93,{"_129":416,"_131":318,"_133":140},94,{"_129":418,"_131":321,"_133":140},95,{"_129":420,"_131":72,"_133":22},96,{"_129":422,"_131":423,"_133":22},97," // Process each image attachment serially",{"_129":425,"_131":426,"_133":22},104," );",{"_129":428,"_131":72,"_133":22},105,{"_129":430,"_131":431,"_133":140},106," const response = await anthropic.messages.create({",{"_129":299,"_131":433,"_133":22}," model: \"claude-3-5-sonnet-latest\",",{"_129":301,"_131":435,"_133":22}," max_tokens: 4196,",{"_129":437,"_131":438,"_133":22},160," // Analyze HTML content",{"_129":440,"_131":441,"_133":22},161," const htmlAnalysis = await analyzeHtmlContent(",{"_129":443,"_131":333,"_133":140},162,{"_129":445,"_131":446,"_133":22},163," e.html || \"\",",{"_129":448,"_131":449,"_133":22},164," summaries",10,{"_104":452,"_106":453,"_108":229,"_110":454,"_112":455,"_114":232,"_116":233,"_118":234,"_120":235,"_122":-5,"_124":-5,"_126":456,"_193":450},"019a56fd-ff71-7014-9179-5aa609bc3a71","https://www.val.town/x/tomatosoup/stevensDemo/code/importers/handleTelegramMessage.ts","handleTelegramMessage.ts","import {\n Bot,\n webhookCallback,\n} from \"https://deno.land/x/grammy@v1.35.0/mod.ts\";\nimport { DateTime } from \"https://esm.sh/luxon@3.4.4\";\nimport Anthropic from \"npm:@anthropic-ai/sdk@0.24.3\";\nimport { backstory } from \"../backstory.ts\";\nimport {\n formatMemoriesForPrompt,\n getRelevantMemories,\n} from \"../memoryUtils.ts\";\n\n// Initialize the bot\nif (!Deno.env.get(\"TELEGRAM_TOKEN\")) {\n throw new Error(\"TELEGRAM_TOKEN is not set\");\n}\nconst bot = new Bot(Deno.env.get(\"TELEGRAM_TOKEN\")!);\n\n// Use part of the TELEGRAM_TOKEN itself as the secret_token\nconst SECRET_TOKEN = Deno.env.get(\"TELEGRAM_TOKEN\")!.split(\":\")[1];\nconst handleUpdate = webhookCallback(\n bot,\n \"std/http\",\n undefined,\n undefined,\n SECRET_TOKEN\n);\n\nlet isEndpointSet = false;\n\n// Special ID for the bot's own messages\nexport const BOT_SENDER_ID = \"mr_stevens_bot\";\nexport const BOT_SENDER_NAME = \"Mr. Stevens\";\n\n/**\n * Store a chat message in the database\n */\nexport async function storeChatMessage(\n chatId,\n senderId,\n senderName,\n message,\n isBot = false\n) {\n try {\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n const timestamp = Math.floor(Date.now() / 1000); // Unix timestamp in seconds\n\n await sqlite.execute({\n sql: `INSERT INTO telegram_chats (chat_id, sender_id, sender_name, message, timestamp, is_bot)\n VALUES (:chat_id, :sender_id, :sender_name, :message, :timestamp, :is_bot)`,\n args: {\n chat_id: chatId,\n sender_id: senderId,\n sender_name: senderName,\n message: message,\n timestamp: timestamp,\n is_bot: isBot ? 1 : 0,\n },\n });\n return true;\n } catch (error) {\n console.error(\"Error storing chat message:\", error);\n return false;\n }\n}\n\n/**\n * Retrieve chat history for a specific chat\n */\nexport async function getChatHistory(chatId, limit = 50) {\n try {\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n\n const result = await sqlite.execute({\n sql: `SELECT * FROM telegram_chats\n WHERE chat_id = :chat_id\n ORDER BY timestamp ASC\n LIMIT :limit`,\n args: {\n chat_id: chatId,\n limit: limit,\n },\n });\n\n return result.rows || [];\n } catch (error) {\n console.error(\"Error retrieving chat history:\", error);\n return [];\n }\n}\n\n/**\n * Format chat history for Anthropic API\n */\nfunction formatChatHistoryForAI(history) {\n const messages = [];\n\n for (const msg of history) {\n if (msg.is_bot) {\n messages.push({\n role: \"assistant\",\n content: msg.message,\n });\n } else {\n // Format user message with sender name\n messages.push({\n role: \"user\",\n content: `${msg.sender_name} says: ${msg.message}`,\n });\n }\n }\n\n return messages;\n}\n\n/**\n * Analyze a Telegram message and extract memories from it\n */\nasync function analyzeMessageContent(\n anthropic,\n username,\n messageText,\n chatHistory = []\n) {\n try {\n // Get relevant memories\n const memories = await getRelevantMemories();\n const memoriesText = formatMemoriesForPrompt(memories);\n\n // Prepare system prompt with all instructions and memories\n const systemPrompt = `${backstory}\n\nYour job is to read this Telegram message from your employer and respond in a natural, butler-like way, noting any important information that should be remembered for future reference.\n\nYou have access to the following stored memories:\n\n${memoriesText}\n\nIf this appears to be a new client or the conversation is in an early stage, you should conduct an intake interview to gather essential background information. First ask the client if now is a good time to ask them some questions.\n\nAsk about the following topics in a conversational way (not all at once, but continuing the interview naturally based on their responses):\n\nInitial Information:\n- Who are the family members living in the home and their ages?\n- Names of close family members and their relationships to the client?\n\nDaily Life:\n- Which grocery stores and local restaurants they frequent?\n- Family members' food preferences and any dietary restrictions?\n- Typical working hours and recurring commitments?\n- Important dates (birthdays, anniversaries, holidays)?\n- Monthly bills and subscriptions that need tracking?\n- Emergency contacts and regular service providers?\n- Current health goals and any medication reminders needed?\n\nYour goal is to collect this information naturally through conversation and store it as memories (as undated memories). Once you've gathered sufficient background information, you can conclude the intake process and transition to normal reactive chat.\n\nIf the conversation is already past the intake stage, then analyze the message content and think about which memories might be worth creating based on the information provided.\n\nYou should respond in a natural conversational way. You have three options for managing memories:\n\n1. CREATE memories: Include them in tags in JSON format.\n2. EDIT memories: Include them in tags in JSON format (must include memory ID).\n3. DELETE memories: Include them in tags in JSON format (just include memory IDs).\n\nExample response WITHOUT memory modification:\n\"Very good, sir. I shall make a note of that.\"\n\nExample response WITH memory creation:\n\"I've noted that you prefer Earl Grey tea in the morning, sir.\n\n\n[{ \"text\": \"Client prefers Earl Grey tea in the morning.\", \"date\": null }]\n\"\n\nExample response WITH memory editing:\n\"I've updated your birthday in my records, sir.\n\n\n[{ \"id\": \"abc123\", \"text\": \"Client's birthday is on April 15th.\", \"date\": \"2024-04-15\" }]\n\"\n\nExample response WITH memory deletion:\n\"I've removed that note from my records as requested, sir.\n\n\n[\"abc123\"]\n\"\n\nImportant guidelines for memory management:\n1. For new memories, set a date for each memory whenever possible.\n2. The date should be the actual date of the event. You don't need to set reminder dates in advance.\n3. Keep the memory text concise: ideally one short sentence, but include all important details.\n4. Extract any dates mentioned and convert them to ISO format. If the year isn't mentioned, assume the current year.\n5. If no date is relevant to the memory, set \"date\" to null.\n6. For editing or deleting memories, you MUST include the correct memory ID from the displayed memories. Each memory is displayed with its ID in the format \"[ID: xyz123]\".\n7. If no memories need to be managed, simply respond naturally WITHOUT including any memory tags.\n8. When a user asks to delete a memory, you must find its ID from the memory list above and include that ID in the deleteMemories tag.\n9. Do not create duplicate memories. If a memory already exists, do not record the same information again.\n\nYour response style:\n- Use a brief, natural-sounding tone characteristic of a personal assistant\n- Be slightly dignified but sound modern, not too stuffy or old-fashioned\n- Keep responses brief (1-2 sentences)\n- Vary your responses to avoid sounding robotic\n- Be polite and deferential\n- Avoid contractions (use \"do not\" instead of \"don't\")\n\nToday's date is ${DateTime.now()\n .setZone(\"America/New_York\")\n .toFormat(\"yyyy-MM-dd\")}`;\n\n // Prepare formatted chat history\n const formattedHistory =\n chatHistory.length > 0 ? formatChatHistoryForAI(chatHistory) : [];\n\n console.log({ systemPrompt, formattedHistory });\n\n const response = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-latest\",\n max_tokens: 4196,\n system: systemPrompt,\n messages: formattedHistory,\n });\n\n // Get the text response\n const responseText = response.content[0].text;\n\n console.log({ responseText });\n\n // Parse the response, extracting memories if present\n try {\n // Check if there are memories to create, edit, or delete\n const createMemoryMatch = responseText.match(\n /([\\s\\S]*?)<\\/createMemories>/\n );\n const editMemoryMatch = responseText.match(\n /([\\s\\S]*?)<\\/editMemories>/\n );\n const deleteMemoryMatch = responseText.match(\n /([\\s\\S]*?)<\\/deleteMemories>/\n );\n\n let cleanedResponse = responseText;\n let memories = [];\n let editMemories = [];\n let deleteMemories = [];\n\n // Parse created memories\n if (createMemoryMatch) {\n cleanedResponse = cleanedResponse\n .replace(/[\\s\\S]*?<\\/createMemories>/, \"\")\n .trim();\n\n try {\n memories = JSON.parse(createMemoryMatch[1]);\n } catch (e) {\n console.error(\"Error parsing created memories JSON:\", e);\n }\n }\n\n // Parse edited memories\n if (editMemoryMatch) {\n cleanedResponse = cleanedResponse\n .replace(/[\\s\\S]*?<\\/editMemories>/, \"\")\n .trim();\n\n try {\n editMemories = JSON.parse(editMemoryMatch[1]);\n } catch (e) {\n console.error(\"Error parsing edited memories JSON:\", e);\n }\n }\n\n // Parse deleted memories\n if (deleteMemoryMatch) {\n cleanedResponse = cleanedResponse\n .replace(/[\\s\\S]*?<\\/deleteMemories>/, \"\")\n .trim();\n\n try {\n deleteMemories = JSON.parse(deleteMemoryMatch[1]);\n } catch (e) {\n console.error(\"Error parsing deleted memories JSON:\", e);\n }\n }\n\n // Handle any trailing/leading newlines that might be left after removing the tags\n cleanedResponse = cleanedResponse.replace(/\\n{3,}/g, \"\\n\\n\"); // Replace 3+ consecutive newlines with 2\n\n return {\n memories: memories,\n editMemories: editMemories,\n deleteMemories: deleteMemories,\n response: cleanedResponse,\n };\n } catch (error) {\n console.error(\"Error processing AI response:\", error);\n return {\n memories: [],\n editMemories: [],\n deleteMemories: [],\n response:\n responseText ||\n \"I apologize, but I'm unable to process your request at the moment.\",\n };\n }\n } catch (error) {\n console.error(\"Message analysis error:\", error);\n return {\n memories: [],\n editMemories: [],\n deleteMemories: [],\n response:\n \"I apologize, but I seem to be experiencing some difficulty at the moment.\",\n };\n }\n}\n// Set up message handler for the bot\nbot.on(\"message\", async (ctx) => {\n try {\n // Get Anthropic API key from environment\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n console.error(\"Anthropic API key is not configured.\");\n ctx.reply(\n \"I apologize, but I'm not properly configured at the moment. Please inform the household administrator.\"\n );\n return;\n }\n\n // Initialize Anthropic client\n const anthropic = new Anthropic({ apiKey });\n\n // Get message text and user info\n const messageText = ctx.message.text || \"\";\n const username =\n ctx.message.from.username || ctx.message.from.first_name || \"Sir/Madam\";\n const chatId = ctx.chat.id;\n const senderId = ctx.message.from.id.toString();\n const senderName = username; // Using username as the sender name\n\n console.log({ chatId, username, messageText });\n\n // Store the incoming message in the chat history\n await storeChatMessage(chatId, senderId, senderName, messageText);\n\n // If the message is a /start command, introduce Mr. Stevens\n if (messageText === \"/start\") {\n const introMessage =\n \"Good day. I am Mr. Stevens, at your service. I shall make note of any important matters you wish me to remember and will ensure they're properly attended to at the appropriate time. If I may, I would like to ask you a few questions to understand how I can better serve you and your household.\";\n await ctx.reply(introMessage);\n\n // Store the bot's response in chat history\n await storeChatMessage(\n chatId,\n BOT_SENDER_ID,\n BOT_SENDER_NAME,\n introMessage,\n true\n );\n return;\n }\n\n // If it's another command, ignore it\n if (messageText.startsWith(\"/\")) {\n return;\n }\n\n // Retrieve chat history for this chat, which now includes the current message we just stored\n const chatHistory = await getChatHistory(chatId);\n\n // Analyze message content with chat history context\n const analysis = await analyzeMessageContent(\n anthropic,\n username,\n messageText,\n chatHistory\n );\n\n // Create memories based on the analysis\n if (analysis.memories && analysis.memories.length > 0) {\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n const { nanoid } = await import(\"https://esm.sh/nanoid@5.0.5\");\n\n const createdIds = [];\n\n for (const memory of analysis.memories) {\n const memoryId = nanoid(10);\n createdIds.push(memoryId);\n await sqlite.execute({\n sql: `INSERT INTO memories (id, date, text, createdBy, createdDate, tags)\n VALUES (:id, :date, :text, :createdBy, :createdDate, :tags)`,\n args: {\n id: memoryId,\n date: memory.date,\n text: memory.text,\n createdBy: \"telegram\",\n createdDate: Date.now(),\n tags: \"\",\n },\n });\n }\n\n console.log(\n `Created ${\n analysis.memories.length\n } memories with IDs: ${createdIds.join(\", \")}`\n );\n }\n\n // Edit memories if requested\n if (analysis.editMemories && analysis.editMemories.length > 0) {\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n\n const editedIds = [];\n\n for (const memory of analysis.editMemories) {\n if (!memory.id) {\n console.error(\"Cannot edit memory without ID:\", memory);\n continue;\n }\n\n editedIds.push(memory.id);\n\n // Create the SET clause dynamically based on what fields are provided\n const updateFields = [];\n const args: Record = { id: memory.id };\n\n if (memory.text !== undefined) {\n updateFields.push(\"text = :text\");\n args.text = memory.text;\n }\n\n if (memory.date !== undefined) {\n updateFields.push(\"date = :date\");\n args.date = memory.date;\n }\n\n if (memory.tags !== undefined) {\n updateFields.push(\"tags = :tags\");\n args.tags = memory.tags;\n }\n\n // Only proceed if we have fields to update\n if (updateFields.length > 0) {\n const setClause = updateFields.join(\", \");\n await sqlite.execute({\n sql: `UPDATE memories SET ${setClause} WHERE id = :id`,\n args,\n });\n }\n }\n\n console.log(\n `Edited ${editedIds.length} memories with IDs: ${editedIds.join(\", \")}`\n );\n }\n\n // Delete memories if requested\n if (analysis.deleteMemories && analysis.deleteMemories.length > 0) {\n const { sqlite } = await import(\"https://esm.town/v/stevekrouse/sqlite\");\n\n for (const memoryId of analysis.deleteMemories) {\n await sqlite.execute({\n sql: `DELETE FROM memories WHERE id = :id`,\n args: { id: memoryId },\n });\n }\n\n console.log(\n `Deleted ${\n analysis.deleteMemories.length\n } memories with IDs: ${analysis.deleteMemories.join(\", \")}`\n );\n }\n\n // Respond with the butler-like response\n await ctx.reply(analysis.response);\n\n // Store the bot's response in chat history (without debug info to keep it clean)\n await storeChatMessage(\n chatId,\n BOT_SENDER_ID,\n BOT_SENDER_NAME,\n analysis.response,\n true\n );\n } catch (error) {\n console.error(\"Error processing message:\", error);\n await ctx.reply(\n \"I do apologize, but I seem to be experiencing some difficulty at the moment. Perhaps we could try again shortly.\"\n );\n }\n});\n\n// No additional commands needed for the butler interface\n\n// Handle webhook requests\nexport default async function (req: Request): Promise {\n // Set webhook if it is not set yet\n if (!isEndpointSet) {\n await bot.api.setWebhook(req.url, {\n secret_token: SECRET_TOKEN,\n });\n isEndpointSet = true;\n }\n\n if (req.method === \"POST\") {\n return await handleUpdate(req);\n }\n\n return new Response(\n `

Memory Assistant Bot

This bot helps you remember important information.

`,\n { status: 200, headers: { \"content-type\": \"text/html\" } }\n );\n}\n",[457,459,460,462,463,465,466,468,470,472,474,476,479,481,483,485,488,490,492,494,496,499,501,504,507,510,513,516,519,522,524,527,530,532,535,538,541,544,547],{"_129":246,"_131":458,"_133":22},"} from \"https://deno.land/x/grammy@v1.35.0/mod.ts\";",{"_129":249,"_131":241,"_133":22},{"_129":461,"_131":244,"_133":140},6,{"_129":194,"_131":247,"_133":22},{"_129":464,"_131":250,"_133":22},8,{"_129":412,"_131":72,"_133":22},{"_129":414,"_131":467,"_133":22},"/**",{"_129":416,"_131":469,"_133":140}," * Format chat history for Anthropic API",{"_129":418,"_131":471,"_133":22}," */",{"_129":420,"_131":473,"_133":22},"function formatChatHistoryForAI(history) {",{"_129":475,"_131":471,"_133":22},119,{"_129":477,"_131":478,"_133":22},120,"async function analyzeMessageContent(",{"_129":313,"_131":480,"_133":140}," anthropic,",{"_129":315,"_131":482,"_133":22}," username,",{"_129":317,"_131":484,"_133":22}," messageText,",{"_129":486,"_131":487,"_133":22},218," console.log({ systemPrompt, formattedHistory });",{"_129":489,"_131":72,"_133":22},219,{"_129":491,"_131":277,"_133":140},220,{"_129":493,"_131":390,"_133":22},221,{"_129":495,"_131":393,"_133":22},222,{"_129":497,"_131":498,"_133":22},321,"bot.on(\"message\", async (ctx) => {",{"_129":500,"_131":261,"_133":22},322,{"_129":502,"_131":503,"_133":140},323," // Get Anthropic API key from environment",{"_129":505,"_131":506,"_133":140},324," const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");",{"_129":508,"_131":509,"_133":22},325," if (!apiKey) {",{"_129":511,"_131":512,"_133":140},326," console.error(\"Anthropic API key is not configured.\");",{"_129":514,"_131":515,"_133":22},327," ctx.reply(",{"_129":517,"_131":518,"_133":22},328," \"I apologize, but I'm not properly configured at the moment. Please inform the household administrator.\"",{"_129":520,"_131":521,"_133":22},331," }",{"_129":523,"_131":72,"_133":22},332,{"_129":525,"_131":526,"_133":140},333," // Initialize Anthropic client",{"_129":528,"_131":529,"_133":140},334," const anthropic = new Anthropic({ apiKey });",{"_129":531,"_131":72,"_133":22},335,{"_129":533,"_131":534,"_133":22},336," // Get message text and user info",{"_129":536,"_131":537,"_133":22},374," // Analyze message content with chat history context",{"_129":539,"_131":540,"_133":22},375," const analysis = await analyzeMessageContent(",{"_129":542,"_131":543,"_133":140},376," anthropic,",{"_129":545,"_131":546,"_133":22},377," username,",{"_129":548,"_131":549,"_133":22},378," messageText,",{"_104":551,"_106":552,"_108":229,"_110":553,"_112":554,"_114":232,"_116":233,"_118":234,"_120":235,"_122":-5,"_124":-5,"_126":555,"_193":461},"019a56fd-ff71-7014-9179-5640f06522d4","https://www.val.town/x/tomatosoup/stevensDemo/code/importers/getWeather.ts","getWeather.ts","import {\n getWeather,\n WeatherResponse,\n} from \"https://esm.town/v/geoffreylitt/getWeather\";\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport Anthropic from \"npm:@anthropic-ai/sdk@0.24.3\";\n\nconst TABLE_NAME = `memories`;\n\nfunction summarizeWeather(weather: WeatherResponse) {\n const summarizeDay = (day: WeatherResponse[\"weather\"][number]) => ({\n date: day.date,\n highTemp: day.maxtempF,\n lowTemp: day.mintempF,\n hourly:\n day.hourly?.map((hour) => ({\n time: hour.time,\n temp: hour.tempF,\n chanceOfRain: hour.chanceofrain,\n chanceOfSnow: hour.chanceofsnow,\n desc: hour.weatherDesc.map((desc) => desc.value).join(\", \"),\n })) ?? [],\n });\n return weather.weather.map((day) => summarizeDay(day));\n}\n\nasync function generateConciseWeatherSummary(weatherDay) {\n try {\n // Get API key from environment\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n console.error(\"Anthropic API key is not configured.\");\n return null;\n }\n\n // Initialize Anthropic client\n const anthropic = new Anthropic({ apiKey });\n\n const response = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-latest\",\n max_tokens: 150,\n messages: [\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text: `\nYou are a weather forecaster. Create a very concise summary of this weather forecast data.\nInclude the high and low temperatures and a brief summary of the overall weather conditions throughout the day.\nThe summary should be helpful for someone planning their day - mention any precipitation, temperature changes, or other notable patterns.\nKeep it under 25 words if possible, no more than one sentence. Don't include the date.\n\nExamples:\n- \"High of 50, low of 31, clear and sunny all day.\"\n- \"High of 80, low of 50, cool and clear morning, warmer afternoon with scattered showers starting around 2pm.\"\n\nWeather data:\n${JSON.stringify(weatherDay, null, 2)}\n\nYour concise summary:\n`,\n },\n ],\n },\n ],\n });\n\n // Extract and clean up the summary\n let summary = response.content[0].text.trim();\n\n // Remove any \"Your concise summary:\" text if it got included\n summary = summary.replace(/^(your concise summary:)/i, \"\").trim();\n\n // Remove quotes if the model included them\n summary = summary.replace(/^[\"']|[\"']$/g, \"\").trim();\n\n return summary;\n } catch (error) {\n console.error(\"Error generating weather summary:\", error);\n return JSON.stringify(weatherDay); // Fallback to JSON if summary fails\n }\n}\n\nasync function deleteExistingForecast(date: string) {\n await sqlite.execute(\n `\n DELETE FROM ${TABLE_NAME}\n WHERE date = ? AND text LIKE 'weather forecast:%'\n `,\n [date]\n );\n}\n\nasync function insertForecast(date: string, forecast: string) {\n const { nanoid } = await import(\"https://esm.sh/nanoid@5.0.5\");\n\n await sqlite.execute(\n `\n INSERT INTO ${TABLE_NAME} (id, date, text, createdBy, createdDate, tags)\n VALUES (?, ?, ?, ?, ?, ?)\n `,\n [\n nanoid(10),\n date,\n `weather forecast: ${forecast}`,\n \"weather\",\n Date.now(),\n \"weather\",\n ]\n );\n}\n\nexport default async function getWeatherForecast(interval: number) {\n const weather = await getWeather(\"Washington, DC\");\n console.log({ weather });\n const summary = summarizeWeather(weather);\n\n for (const day of summary) {\n const date = new Date(day.date).toISOString().split(\"T\")[0];\n\n // Generate concise text summary instead of using JSON\n const conciseSummary = await generateConciseWeatherSummary(day);\n\n // If summary generation failed, it will fall back to JSON\n const forecastText = conciseSummary || JSON.stringify(day);\n\n await deleteExistingForecast(date);\n await insertForecast(date, forecastText);\n }\n\n console.log(`Weather forecast updated in the database.`);\n return summary;\n}\n",[556,558,560,561,562,564,565,567,569,571,573,576,578,580,582,584,586,588,590],{"_129":246,"_131":557,"_133":22},"} from \"https://esm.town/v/geoffreylitt/getWeather\";",{"_129":249,"_131":559,"_133":22},"import { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";",{"_129":461,"_131":244,"_133":140},{"_129":194,"_131":72,"_133":22},{"_129":464,"_131":563,"_133":22},"const TABLE_NAME = `memories`;",{"_129":389,"_131":261,"_133":22},{"_129":392,"_131":566,"_133":22}," // Get API key from environment",{"_129":568,"_131":506,"_133":140},30,{"_129":570,"_131":509,"_133":22},31,{"_129":572,"_131":512,"_133":140},32,{"_129":574,"_131":575,"_133":22},33," return null;",{"_129":577,"_131":521,"_133":22},34,{"_129":579,"_131":72,"_133":22},35,{"_129":581,"_131":526,"_133":140},36,{"_129":583,"_131":529,"_133":140},37,{"_129":585,"_131":72,"_133":22},38,{"_129":587,"_131":277,"_133":140},39,{"_129":589,"_131":390,"_133":22},40,{"_129":591,"_131":592,"_133":22},41," max_tokens: 150,",{"_104":594,"_106":595,"_108":229,"_110":596,"_112":597,"_114":232,"_116":233,"_118":234,"_120":235,"_122":-5,"_124":-5,"_126":598,"_193":461},"019a56fd-ff71-7014-9179-4c369f5a2a39","https://www.val.town/x/tomatosoup/stevensDemo/code/importers/generateFunFacts.ts","generateFunFacts.ts","import { DateTime } from \"https://esm.sh/luxon@3.4.4\";\nimport { nanoid } from \"https://esm.sh/nanoid@5.0.5\";\nimport { sqlite } from \"https://esm.town/v/stevekrouse/sqlite\";\nimport Anthropic from \"npm:@anthropic-ai/sdk@0.24.3\";\n\nconst TABLE_NAME = `memories`;\nconst TAG_NAME = \"fun_fact\";\n\n/**\n * Retrieves previously generated fun facts from the memories database\n * @returns Array of previous fun facts\n */\nasync function getPreviousFunFacts() {\n try {\n const result = await sqlite.execute(\n `SELECT date(date) as date, text FROM ${TABLE_NAME}\n WHERE tags = ?\n ORDER BY date DESC\n LIMIT 50`,\n [TAG_NAME],\n );\n\n return result.rows || [];\n } catch (error) {\n console.error(\"Error retrieving previous fun facts:\", error);\n return [];\n }\n}\n\n/**\n * Deletes existing fun facts for the specified dates\n * @param dates Array of date strings in ISO format\n */\nasync function deleteExistingFunFacts(dates) {\n try {\n for (const date of dates) {\n await sqlite.execute(\n `DELETE FROM ${TABLE_NAME}\n WHERE date = ? AND tags = ?`,\n [date, TAG_NAME],\n );\n }\n } catch (error) {\n console.error(\"Error deleting existing fun facts:\", error);\n }\n}\n\n/**\n * Inserts a fun fact into the memories database\n * @param date Date for the fun fact in ISO format\n * @param factText The fun fact text\n */\nasync function insertFunFact(date, factText) {\n try {\n await sqlite.execute(\n `INSERT INTO ${TABLE_NAME} (id, date, text, createdBy, createdDate, tags)\n VALUES (?, ?, ?, ?, ?, ?)`,\n [\n nanoid(10),\n date,\n `fun fact: ${factText}`,\n \"fun_fact_generator\",\n Date.now(),\n TAG_NAME,\n ],\n );\n } catch (error) {\n console.error(`Error inserting fun fact for ${date}:`, error);\n }\n}\n\n/**\n * Generates fun facts for the next 7 days using Claude AI\n * @param previousFacts Previous fun facts to avoid duplication\n * @returns Array of generated fun facts\n */\nasync function generateFunFacts(previousFacts) {\n try {\n // Get API key from environment\n const apiKey = Deno.env.get(\"ANTHROPIC_API_KEY\");\n if (!apiKey) {\n console.error(\"Anthropic API key is not configured.\");\n return null;\n }\n\n // Initialize Anthropic client\n const anthropic = new Anthropic({ apiKey });\n\n // Format previous facts for the prompt\n const previousFactsText = previousFacts\n .map((fact) => `- ${fact.date}: ${fact.text}`)\n .join(\"\\n\");\n\n // Get today's date in US Eastern Time\n const today = DateTime.now().setZone(\"America/New_York\").startOf(\"day\");\n\n // Hana's birthday - adjust as needed\n const hanaBirthday = \"2025-03-26\";\n const currentDate = today.toFormat(\"yyyy-MM-dd\");\n\n // Format dates for the next 7 days\n const nextSevenDays = Array.from({ length: 7 }, (_, i) => {\n const date = today.plus({ days: i });\n return date.toFormat(\"yyyy-MM-dd\");\n });\n\n const message =\n `Generate 7 unique fun facts, one for each of the next 7 days. Each fact should be brief (1-2 sentences) and relate to one of these categories:\n\n1. Infant development appropriate for Miss Hana, who was born on ${hanaBirthday} (today is ${currentDate})\n2. Cute animals: capybaras, border collies, elephants, or penguins\n3. Plants: monsteras, orchids, ficus, or other common houseplants\n\nRequirements:\n- Each fact must be interesting, educational, and appropriate for formal communication\n- Keep each fact to 1-2 sentences maximum\n- Use different categories across the 7 days for variety\n- Ensure facts are scientifically accurate\n- Make infant development facts age-appropriate for Miss Hana based on her birthdate\n- Do not repeat any previous facts from this list:\n\n${previousFactsText}\n\nFORMAT YOUR RESPONSE AS STRUCTURED JSON INSIDE XML TAGS:\n\n[\n {\n \"date\": \"YYYY-MM-DD\",\n \"text\": \"The fun fact text here\",\n \"category\": \"infant\" | \"animal\" | \"plant\"\n },\n ... (repeat for all 7 days)\n]\n\n\nUse these dates for the 7 facts:\n${nextSevenDays.join(\"\\n\")}`;\n\n console.log({ message });\n\n const response = await anthropic.messages.create({\n model: \"claude-3-5-sonnet-latest\",\n max_tokens: 1000,\n messages: [\n {\n role: \"user\",\n content: [\n {\n type: \"text\",\n text: message,\n },\n ],\n },\n ],\n });\n\n // Extract and parse the response\n const responseText = response.content[0].text.trim();\n\n // Extract JSON between tags\n const factsMatch = responseText.match(/([\\s\\S]*?)<\\/facts>/);\n\n if (!factsMatch || factsMatch.length < 2) {\n console.error(\"Failed to parse facts from response:\", responseText);\n return [];\n }\n\n try {\n // Parse the JSON from the extracted content\n const factData = JSON.parse(factsMatch[1]);\n\n // Validate and format facts\n const facts = factData.map((fact) => ({\n date: fact.date,\n text: fact.text,\n category: fact.category,\n }));\n\n return facts;\n } catch (parseError) {\n console.error(\"Failed to parse facts JSON:\", parseError);\n console.log(\"Raw response:\", responseText);\n\n // Fallback to regex parsing if JSON parsing fails\n return parseFallbackFacts(responseText, nextSevenDays);\n }\n } catch (error) {\n console.error(\"Error generating fun facts:\", error);\n return [];\n }\n}\n\n/**\n * Fallback parser for when JSON parsing fails\n * @param responseText The raw response text from Claude\n * @param expectedDates Array of expected dates for facts\n * @returns Array of parsed facts\n */\nfunction parseFallbackFacts(responseText, expectedDates) {\n // Try to extract facts using regex\n const factPattern = /(\\d{4}-\\d{2}-\\d{2})[\"']?[,:]?\\s*[\"']?(.*?)[\"']?[,}]/gs;\n const facts = [];\n let match;\n\n while ((match = factPattern.exec(responseText)) !== null) {\n if (match.length >= 3) {\n facts.push({\n date: match[1],\n text: match[2].trim(),\n });\n }\n }\n\n // If we couldn't extract any facts, try another approach\n if (facts.length === 0) {\n // Look for quoted text that might be facts\n const lines = responseText.split(\"\\n\");\n let currentDate = null;\n\n for (let i = 0; i < lines.length; i++) {\n const line = lines[i].trim();\n\n // Check if this line contains a date\n const dateMatch = line.match(/(\\d{4}-\\d{2}-\\d{2})/);\n if (dateMatch) {\n currentDate = dateMatch[1];\n } else if (currentDate && line.length > 10) {\n // If we have a date and this is a non-empty line, treat it as a fact\n facts.push({\n date: currentDate,\n text: line.replace(/[\"']/g, \"\").trim(),\n });\n currentDate = null;\n }\n }\n }\n\n // As a last resort, assign facts to dates in order\n if (facts.length === 0 && expectedDates.length > 0) {\n // Extract any sentences that look like facts\n const sentences = responseText.match(/[^.!?]+[.!?]+/g) || [];\n\n for (let i = 0; i < Math.min(sentences.length, expectedDates.length); i++) {\n let factText = sentences[i].trim();\n\n // Clean up the fact text\n factText = factText.replace(/[\"']/g, \"\").trim();\n\n if (factText.length > 10) {\n facts.push({\n date: expectedDates[i],\n text: factText,\n });\n }\n }\n }\n\n return facts;\n}\n\n/**\n * Main function to generate and store fun facts for the next 7 days\n */\nexport async function generateAndStoreFunFacts() {\n try {\n // Get previous fun facts\n const previousFacts = await getPreviousFunFacts();\n\n // Generate new fun facts\n const newFacts = await generateFunFacts(previousFacts);\n\n if (!newFacts || newFacts.length === 0) {\n console.error(\"Failed to generate fun facts\");\n return \"Failed to generate fun facts\";\n }\n\n // Get dates for the next 7 days\n const today = DateTime.now().setZone(\"America/New_York\").startOf(\"day\");\n const nextSevenDays = Array.from({ length: 7 }, (_, i) => {\n return today.plus({ days: i }).toFormat(\"yyyy-MM-dd\");\n });\n\n // Delete existing fun facts for these dates\n await deleteExistingFunFacts(nextSevenDays);\n\n // Insert new fun facts\n for (const fact of newFacts) {\n await insertFunFact(fact.date, fact.text);\n }\n\n console.log(`Generated and stored ${newFacts.length} fun facts`);\n return `Generated and stored ${newFacts.length} fun facts`;\n } catch (error) {\n console.error(\"Error in generateAndStoreFunFacts:\", error);\n return \"Error generating fun facts\";\n }\n}\n\n/**\n * Cron job entry point - runs weekly to generate fun facts for the next 7 days\n * Intended to be used as a Val Town cron job\n */\nexport default async function() {\n console.log(\"Running fun facts generation cron job...\");\n return await generateAndStoreFunFacts();\n}\n\n// For testing with Deno directly\nif (import.meta.main) {\n await generateAndStoreFunFacts();\n}",[599,601,602,603,604,605,606,607,608,610,612,614,616,617,618,619,620,622,625,627,629,631],{"_129":225,"_131":600,"_133":22},"import { nanoid } from \"https://esm.sh/nanoid@5.0.5\";",{"_129":243,"_131":559,"_133":22},{"_129":246,"_131":244,"_133":140},{"_129":249,"_131":72,"_133":22},{"_129":461,"_131":563,"_133":22},{"_129":276,"_131":261,"_133":22},{"_129":279,"_131":566,"_133":22},{"_129":282,"_131":506,"_133":140},{"_129":609,"_131":509,"_133":22},81,{"_129":611,"_131":512,"_133":140},82,{"_129":613,"_131":575,"_133":22},83,{"_129":615,"_131":521,"_133":22},84,{"_129":395,"_131":72,"_133":22},{"_129":398,"_131":526,"_133":140},{"_129":400,"_131":529,"_133":140},{"_129":403,"_131":72,"_133":22},{"_129":405,"_131":621,"_133":22}," // Format previous facts for the prompt",{"_129":623,"_131":624,"_133":22},139," console.log({ message });",{"_129":626,"_131":72,"_133":22},140,{"_129":628,"_131":277,"_133":140},141,{"_129":630,"_131":390,"_133":22},142,{"_129":632,"_131":633,"_133":22},143," max_tokens: 1000,",{"_104":635,"_106":636,"_108":637,"_110":638,"_112":639,"_114":640,"_116":641,"_118":642,"_120":643,"_122":-5,"_124":-5,"_126":644,"_193":238},"019a4fee-f74b-70fa-8b48-7d08c081c635","https://www.val.town/x/jamon8888/claude-plugins-registry/code/api/resolve.ts","7a147006-b9a4-11f0-9268-0224a6c84d84","resolve.ts","/**\n * Plugin resolution endpoint\n * Resolves @namespace/name to git URL\n */\nimport type { Context } from \"https://esm.sh/hono@4.9\";\nimport { and, eq, sql } from \"npm:drizzle-orm@0.44.2\";\nimport { db } from \"../database/db.ts\";\nimport { plugins, pluginStats } from \"../database/schema.ts\";\n\n/**\n * GET /api/resolve/:owner/:marketplace/:plugin\n * Resolves plugin identifier to git URL and metadata\n *\n * Examples:\n * /api/resolve/davila7/claude-code-templates/supabase-toolkit\n * /api/resolve/anthropics/claude-code-plugins/agent-sdk-dev\n */\nexport async function resolvePlugin(c: Context) {\n const { owner, marketplace, plugin: pluginName } = c.req.param();\n console.log({ owner, marketplace, pluginName });\n\n if (!owner || !marketplace || !pluginName) {\n return c.json({ error: \"Missing owner, marketplace, or plugin name\" }, 400);\n }\n\n const ownerName = owner.startsWith(\"@\") ? owner : `@${owner}`;\n\n const namespace = `${ownerName}/${marketplace}`;\n console.log(\"Namespace:\", namespace);\n\n // Query database\n const plugin = await db\n .select()\n .from(plugins)\n .where(and(eq(plugins.namespace, namespace), eq(plugins.name, pluginName)))\n .get();\n\n if (!plugin) {\n return c.json({\n error: `Plugin ${owner}/${marketplace}/${pluginName} not found`,\n }, 404);\n }\n\n // Increment download count\n try {\n await incrementDownloads(plugin.id);\n } catch (error) {\n console.error(\"Failed to increment downloads:\", error);\n // Don't fail the request if stats update fails\n }\n\n // Parse JSON fields\n const keywords = plugin.keywords ? JSON.parse(plugin.keywords) : [];\n const metadata = plugin.metadata ? JSON.parse(plugin.metadata) : {};\n\n return c.json({\n name: plugin.name,\n namespace: plugin.namespace,\n gitUrl: plugin.gitUrl,\n description: plugin.description,\n version: plugin.version,\n author: plugin.author,\n keywords,\n category: plugin.category,\n stars: plugin.stars,\n verified: Boolean(plugin.verified),\n downloads: plugin.downloads,\n metadata, // All other fields (homepage, license, commands, agents, mcpServers, etc.)\n });\n}\n\n/**\n * Increment download statistics for a plugin\n */\nasync function incrementDownloads(pluginId: string) {\n // Update total downloads in plugins table\n await db\n .update(plugins)\n .set({ downloads: sql`${plugins.downloads} + 1` })\n .where(eq(plugins.id, pluginId));\n\n // Update stats table\n const now = new Date().toISOString();\n\n // Check if stats entry exists\n const existing = await db\n .select()\n .from(pluginStats)\n .where(eq(pluginStats.pluginId, pluginId))\n .get();\n\n if (existing) {\n await db\n .update(pluginStats)\n .set({\n downloadsTotal: sql`${pluginStats.downloadsTotal} + 1`,\n downloadsWeek: sql`${pluginStats.downloadsWeek} + 1`,\n downloadsMonth: sql`${pluginStats.downloadsMonth} + 1`,\n lastDownloadedAt: now,\n })\n .where(eq(pluginStats.pluginId, pluginId));\n } else {\n // Create new stats entry\n await db.insert(pluginStats).values({\n pluginId,\n downloadsTotal: 1,\n downloadsWeek: 1,\n downloadsMonth: 1,\n lastDownloadedAt: now,\n });\n }\n}","2025-11-04T17:34:12.205Z","claude-plugins-registry","https://www.val.town/x/jamon8888/claude-plugins-registry/code/","jamon8888",[645,647,649,651,652],{"_129":255,"_131":646,"_133":22}," * Examples:",{"_129":257,"_131":648,"_133":22}," * /api/resolve/davila7/claude-code-templates/supabase-toolkit",{"_129":260,"_131":650,"_133":140}," * /api/resolve/anthropics/claude-code-plugins/agent-sdk-dev",{"_129":263,"_131":471,"_133":22},{"_129":653,"_131":654,"_133":22},18,"export async function resolvePlugin(c: Context) {",{"_104":656,"_106":657,"_108":637,"_110":658,"_112":659,"_114":640,"_116":641,"_118":642,"_120":643,"_122":-5,"_124":-5,"_126":660,"_193":249},"019a4fee-f74b-70fa-8b48-c48155721857","https://www.val.town/x/jamon8888/claude-plugins-registry/code/API.md","API.md","# API Reference\n\nBase URL: `https://api.claude-plugins.dev`\n\n## Plugins\n\n### Resolve Plugin\n\n```\nGET /api/resolve/:owner/:marketplace/:plugin\n```\n\nResolves a plugin identifier to its git URL and metadata. Increments download statistics.\n\n**Example:**\n- `/api/resolve/anthropics/claude-code-plugins/agent-sdk-dev`\n\n**Response:**\n\n```json\n{\n \"name\": \"agent-sdk-dev\",\n \"namespace\": \"anthropics/claude-code-plugins\",\n \"gitUrl\": \"https://github.com/anthropics/claude-code-plugins.git\",\n \"description\": \"Development tools for building agents\",\n \"version\": \"1.0.0\",\n \"author\": \"Anthropic\",\n \"keywords\": [\"agent\", \"sdk\"],\n \"category\": \"development\",\n \"stars\": 42,\n \"downloads\": 123,\n \"metadata\": {\n \"license\": \"MIT\",\n \"commands\": [],\n \"agents\": [],\n \"mcpServers\": []\n }\n}\n```\n\n### Search Plugins\n\n```\nGET /api/search?q=query&category=cat&limit=20&offset=0\n```\n\nSearch plugins by name, description, keywords, or namespace.\n\n**Query Parameters:**\n- `q` (optional) - Search query\n- `category` (optional) - Filter by category\n- `limit` (optional) - Results per page (default: 20, max: 100)\n- `offset` (optional) - Pagination offset\n\n**Response:**\n\n```json\n{\n \"plugins\": [...],\n \"total\": 150,\n \"limit\": 20,\n \"offset\": 0\n}\n```\n\n### Plugin Statistics\n\n```\nGET /api/plugins/:owner/:marketplace/:plugin/stats\n```\n\nGet download statistics for a plugin.\n\n**Response:**\n\n```json\n{\n \"downloads\": {\n \"total\": 1234,\n \"week\": 56,\n \"month\": 234\n },\n \"lastDownloaded\": \"2025-01-15T14:30:00.000Z\"\n}\n```\n\n## Skills\n\n### Get Skill\n\n```\nGET /api/skills/:owner/:repo/:skillName\n```\n\nGet skill information (read-only, does not increment install counter).\n\n**Example:**\n- `/api/skills/anthropics/skills/algorithmic-art`\n\n### Install Skill\n\n```\nPOST /api/skills/:owner/:repo/:skillName/install\n```\n\nTrack skill installation and increment install counter.\n\n### Search Skills\n\n```\nGET /api/skills/search?q=query&limit=20&offset=0\n```\n\nSearch skills by name, description, or author.\n\n**Query Parameters:**\n- `q` (optional) - Search query\n- `limit` (optional) - Results per page (default: 20, max: 100)\n- `offset` (optional) - Pagination offset\n\n### Skill Statistics\n\n```\nGET /api/skills/:owner/:repo/:skillName/stats\n```\n\nGet install statistics for a skill.\n\n**Response:**\n\n```json\n{\n \"installs\": {\n \"total\": 567,\n \"week\": 23,\n \"month\": 89\n },\n \"lastInstalled\": \"2025-01-15T14:30:00.000Z\"\n}\n```\n",[661,662,664,666,667,669,671,673,675,677,679,681,683,685,687,688,689,691,692],{"_129":255,"_131":72,"_133":22},{"_129":257,"_131":663,"_133":22},"**Example:**",{"_129":260,"_131":665,"_133":140},"- `/api/resolve/anthropics/claude-code-plugins/agent-sdk-dev`",{"_129":263,"_131":72,"_133":22},{"_129":653,"_131":668,"_133":22},"**Response:**",{"_129":370,"_131":670,"_133":22},"{",{"_129":373,"_131":672,"_133":22}," \"name\": \"agent-sdk-dev\",",{"_129":376,"_131":674,"_133":140}," \"namespace\": \"anthropics/claude-code-plugins\",",{"_129":379,"_131":676,"_133":140}," \"gitUrl\": \"https://github.com/anthropics/claude-code-plugins.git\",",{"_129":382,"_131":678,"_133":22}," \"description\": \"Development tools for building agents\",",{"_129":385,"_131":680,"_133":22}," \"version\": \"1.0.0\",",{"_129":387,"_131":682,"_133":140}," \"author\": \"Anthropic\",",{"_129":389,"_131":684,"_133":22}," \"keywords\": [\"agent\", \"sdk\"],",{"_129":392,"_131":686,"_133":22}," \"category\": \"development\",",{"_129":420,"_131":72,"_133":22},{"_129":422,"_131":663,"_133":22},{"_129":285,"_131":690,"_133":140},"- `/api/skills/anthropics/skills/algorithmic-art`",{"_129":288,"_131":72,"_133":22},{"_129":291,"_131":693,"_133":22},"### Install Skill","projectResults",[696,706,711,719,726],{"_104":697,"_106":698,"_110":699,"_120":700,"_122":-5,"_124":-5,"_701":-5,"_114":702,"_703":704,"_705":32},"a89b79cc-8e2c-11f0-a959-0224a6c84d84","https://www.val.town/x/diegoivo/anthropicWorkflow/code/","anthropicWorkflow","diegoivo","forked_branch_id","2025-09-10T09:58:10.690Z","user_id","add95710-0ddb-4dc2-90f2-bdcb16df89be","matchCount",{"_104":707,"_106":708,"_110":709,"_120":700,"_122":-5,"_124":-5,"_701":-5,"_114":710,"_703":704,"_705":194},"465a857e-8dc7-11f0-a84e-0224a6c84d84","https://www.val.town/x/diegoivo/sdkAnthropic/code/","sdkAnthropic","2025-09-09T22:33:43.044Z",{"_104":712,"_106":713,"_110":714,"_120":715,"_122":-5,"_124":-5,"_701":716,"_114":717,"_703":718,"_705":225},"1492805c-495a-11f0-b451-76b3cceeab13","https://www.val.town/x/maddy/anthropicProxy/code/","anthropicProxy","maddy","c9fb71aa-2827-11f0-af78-569c3dd06744","2025-06-14T19:59:28.922Z","7a96f360-4897-11f0-92b5-0165b258f831",{"_104":720,"_106":721,"_110":722,"_120":723,"_122":-5,"_124":-5,"_701":-5,"_114":724,"_703":725,"_705":225},"b550f854-2540-11f0-a4ea-569c3dd06744","https://www.val.town/x/stevekrouse/anthropicStreamDemo/code/","anthropicStreamDemo","stevekrouse","2025-03-23T14:32:26.714Z","a0bf3b31-15a5-4d5c-880e-4b1e22c9bc18",{"_104":727,"_106":728,"_110":729,"_120":730,"_122":-5,"_124":-5,"_701":731,"_114":732,"_703":733,"_705":238},"b253cbf6-26c4-11f0-9a82-569c3dd06744","https://www.val.town/x/toowired/anthropicCaching/code/","anthropicCaching","toowired","59a94a60-2540-11f0-a4ea-569c3dd06744","2025-01-01T04:29:51.371Z","02bea313-4abc-475e-987f-68da0b110d85","userResults",[],"docResults",[738],{"_106":739,"_112":740,"_741":418,"_742":743,"_746":747,"_754":755,"_761":762,"_763":740,"_764":765,"_766":767,"_768":769},"https://docs.val.town/troubleshooting/bot-rate-limiting/","Blocked bots. Copy page Copy page. Copy this page as Markdown for LLMs. View as Markdown View this page as plain text. Open in ChatGPT Ask questions about this page. We block a small number of crawlers/bots that we identify by their User-Agent Header. These bots generated an inordinate amount of traffic (they are particularly fond of playing chess). This list may change at any time, we’ll do our best to keep it up to date. User-Agent meta-externalagent/1.1 (+https://developers.facebook.com/docs/sharing/webmasters/crawler). Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com). Mozilla/5.0 (compatible; SemrushBot/7~bl; +http://www.semrush.com/bot.html). Mozilla/5.0 (compatible; DataForSeoBot/1.0; +https://dataforseo.com/dataforseo-bot).","word_count","meta",{"_744":745},"title","Blocked bots","anchors",[748],{"_749":750,"_104":751,"_752":745,"_753":32},"element","h1","_top","text","location","weighted_locations",[756],{"_757":758,"_759":760,"_753":398},"weight",0.3333333333333333,"balanced_score",56.904816,"locations",[398],"raw_content","raw_url","/troubleshooting/bot-rate-limiting/","excerpt","time, we’ll do our best to keep it up to date. User-Agent meta-externalagent/1.1 (+https://developers.facebook.com/docs/sharing/webmasters/crawler). Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; compatible; ClaudeBot/1.0; +claudebot@anthropic.com). Mozilla/5.0 (compatible; SemrushBot/7~bl; +http://www.semrush.com/bot.html). Mozilla/5.0 (compatible; DataForSeoBot/1.0; +https://dataforseo.com/dataforseo-bot).","sub_results",[770],{"_744":745,"_106":771,"_772":773,"_754":774,"_761":776,"_766":767},"https://docs.val.town/troubleshooting/bot-rate-limiting/#_top","anchor",{"_749":750,"_104":751,"_752":745,"_753":32},[775],{"_757":758,"_759":760,"_753":398},[398],"totalCount",3029,"paginationCount","totalFileResults",3018,"totalProjectResults","totalUserResults","totalDocResults","executionTimeMs",4039,"results",{"_101":102,"_694":695,"_734":735,"_736":737,"_780":781,"_782":450,"_783":32,"_784":238,"_94":238,"_789":450,"_790":238,"_791":100,"_785":786},"pageSize","totalPages","resultType","actionData","errors"]

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