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Val Town's\n// Deno only resolves it if it's explicitly in the module graph\nimport \"npm:@modelcontextprotocol/sdk/types.js\";\nimport {\n Agent,\n run,\n setDefaultOpenAIClient,\n setOpenAIAPI,\n setTracingDisabled,\n} from \"npm:@openai/agents\";\nimport OpenAI from \"npm:openai\";\nimport { z } from \"npm:zod\";\nimport type { Question } from \"./db.ts\";\n\nconst gemini = new OpenAI({\n apiKey: Deno.env.get(\"GEMINI_API_KEY\")!,\n baseURL: \"https://generativelanguage.googleapis.com/v1beta/openai/\",\n});\n// Deno resolves openai's ESM and CJS type entries as different types; same client at runtime\nsetDefaultOpenAIClient(gemini as unknown as Parameters[0]);\nsetOpenAIAPI(\"chat_completions\");\nsetTracingDisabled(true);\n\nconst MODEL = \"gemini-2.5-flash\";\n\nconst QuestionList = z.object({\n questions: z.array(z.object({\n question: z.string(),\n expectedAnswer: z.string(),\n })),\n});\n\nconst questionWriter = new Agent({\n name: \"Question Writer\",\n model: MODEL,\n instructions:\n \"You write reading-comprehension quizzes. Given an article, write exactly 10 open-ended \" +\n \"comprehension questions that test understanding of its key ideas, in the order the ideas \" +\n \"appear in the article. Questions must be answerable from the article alone. For each \" +\n \"question also provide the expected answer, grounded in the article. Write the questions \" +\n \"in the same language as the article.\",\n outputType: QuestionList,\n});\n\nexport async function generateQuestions(\n article: string,\n): Promise<{ question: string; expectedAnswer: string }[]> {\n const result = await run(\n questionWriter,\n `Write the quiz for this article:\\n\\n${article}`,\n );\n const questions = result.finalOutput?.questions ?? [];\n if (questions.length === 0) {\n throw new Error(\"The model returned no questions\");\n }\n return questions.slice(0, 10);\n}\n\nconst Evaluation = z.object({\n verdict: z.enum([\"correct\", \"partially_correct\", \"incorrect\"]),\n score: z.number().describe(\"0-10, how complete and accurate the answer is\"),\n feedback: z.string().describe(\n \"2-3 friendly sentences: what the user got right, and what they missed or got wrong\",\n ),\n});\n\nconst evaluator = new Agent({\n name: \"Answer Evaluator\",\n model: MODEL,\n instructions:\n \"You grade a user's answer to a reading-comprehension question. Compare the user's answer \" +\n \"to the expected answer. Be encouraging but honest: clearly say what was right and what \" +\n \"was missing or wrong. Accept answers in the user's own words as long as the meaning \" +\n \"matches. Respond in the language the user answered in.\",\n outputType: Evaluation,\n});\n\nexport async function evaluateAnswer(\n question: string,\n expectedAnswer: string,\n userAnswer: string,\n): Promise> {\n const result = await run(\n evaluator,\n `Question: ${question}\\n\\nExpected answer: ${expectedAnswer}\\n\\nUser's answer: ${userAnswer}`,\n );\n if (!result.finalOutput) {\n throw new Error(\"The model returned no evaluation\");\n }\n return result.finalOutput;\n}\n\nconst summarizer = new Agent({\n name: \"Quiz Summarizer\",\n model: MODEL,\n instructions:\n \"You wrap up a reading-comprehension quiz. Given the full list of questions, the user's \" +\n \"answers and the per-question scores, write a short, friendly summary message for the \" +\n \"user: overall result, what they understood well, and which topics from the article are \" +\n \"worth re-reading. Plain text only, no markdown. Respond in the language of the quiz.\",\n});\n\nexport async function summarizeQuiz(questions: Question[]): Promise {\n const transcript = questions.map((q) =>\n `Q${q.idx}: ${q.question}\\nExpected: ${q.expected_answer}\\n` +\n `User answered: ${q.user_answer ?? \"(no answer)\"}\\nScore: ${q.score ?? 0}/10`\n ).join(\"\\n\\n\");\n const total = questions.reduce((sum, q) => sum + (q.score ?? 0), 0);\n const result = await run(\n summarizer,\n `The quiz is over. Total score: ${total}/${questions.length * 10}.\\n\\n${transcript}`,\n );\n return result.finalOutput ?? `Quiz finished! Your total score: ${total}/${questions.length * 10}`;\n}\n",[140],"b2796285-3ff9-4551-b5da-d52967137eee","main.http.ts","5b4a7484-65a9-11f1-9193-1607ee4eb77e",4,["D",1781191347996],"http","import {\n advanceSession,\n cancelActiveSessions,\n createSession,\n finishSession,\n getActiveSession,\n getAllQuestions,\n getQuestion,\n initDb,\n saveAnswer,\n} from \"./db.ts\";\nimport { extractArticle } from \"./article.ts\";\nimport { evaluateAnswer, generateQuestions, summarizeQuiz } from \"./quiz.ts\";\nimport { sendMessage } from \"./telegram.ts\";\n\nconst TOTAL_QUESTIONS = 10;\n\nconst VERDICT_EMOJI: Record = {\n correct: \"✅\",\n partially_correct: \"🟡\",\n incorrect: \"❌\",\n};\n\nasync function startQuiz(chatId: string, url: string) {\n await cancelActiveSessions(chatId);\n await sendMessage(chatId, \"📖 Reading the article and preparing your quiz, give me a moment...\");\n\n const article = await extractArticle(url);\n const questions = await generateQuestions(article);\n const sessionId = await createSession(chatId, url, article, questions);\n\n const first = await getQuestion(sessionId, 1);\n await sendMessage(chatId, `Question 1/${questions.length}:\\n\\n${first!.question}`);\n}\n\nasync function handleAnswer(chatId: string, text: string) {\n const session = await getActiveSession(chatId);\n if (!session) {\n await sendMessage(\n chatId,\n \"Send me a link to an article and I'll quiz you on it with 10 comprehension questions 📚\",\n );\n return;\n }\n\n const current = await getQuestion(session.id, session.current_question);\n if (!current) {\n await finishSession(session.id);\n await sendMessage(chatId, \"Something went wrong with this quiz. Send me a new link to start over.\");\n return;\n }\n\n const evaluation = await evaluateAnswer(current.question, current.expected_answer, text);\n await saveAnswer(current.id, text, evaluation.feedback, Math.round(evaluation.score));\n\n const emoji = VERDICT_EMOJI[evaluation.verdict] ?? \"\";\n await sendMessage(chatId, `${emoji} ${evaluation.feedback}`);\n\n if (session.current_question >= TOTAL_QUESTIONS) {\n await finishSession(session.id);\n const questions = await getAllQuestions(session.id);\n await sendMessage(chatId, await summarizeQuiz(questions));\n await sendMessage(chatId, \"Want another round? Send me a new article link 🔗\");\n } else {\n const nextIdx = session.current_question + 1;\n await advanceSession(session.id, nextIdx);\n const next = await getQuestion(session.id, nextIdx);\n await sendMessage(chatId, `Question ${nextIdx}/${TOTAL_QUESTIONS}:\\n\\n${next!.question}`);\n }\n}\n\nexport default async function (req: Request): Promise {\n if (req.method !== \"POST\") {\n return new Response(\"Telegram quiz bot is running 🤖\");\n }\n\n const update = await req.json();\n const msg = update.message;\n if (!msg?.text || !msg.chat) {\n return Response.json({ ok: true });\n }\n\n await initDb();\n const chatId = String(msg.chat.id);\n const text: string = msg.text.trim();\n const urlMatch = text.match(/https?:\\/\\/\\S+/);\n\n try {\n if (text === \"/start\") {\n await sendMessage(\n chatId,\n \"Hi! Send me a link to an article and I'll quiz you on it with 10 comprehension questions 📚\",\n );\n } else if (urlMatch) {\n await startQuiz(chatId, urlMatch[0]);\n } else {\n await handleAnswer(chatId, text);\n }\n } catch (e) {\n console.error(e);\n await sendMessage(chatId, `Sorry, something went wrong: ${(e as Error).message}`);\n }\n\n return Response.json({ ok: true });\n}\n",[147],"188eff74-6698-42cb-a9fe-38ccf2f430cf","db.ts","5b77cb6e-65a9-11f1-8dac-1607ee4eb77e",7,["D",1781191348216],"import { sqlite } from \"https://esm.town/v/std/sqlite/main.ts\";\n\nexport interface Session {\n id: number;\n chat_id: string;\n url: string;\n current_question: number;\n}\n\nexport interface Question {\n id: number;\n idx: number;\n question: string;\n expected_answer: string;\n user_answer: string | null;\n feedback: string | null;\n score: number | null;\n}\n\nexport async function initDb() {\n await sqlite.batch([\n `CREATE TABLE IF NOT EXISTS quiz_sessions (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n chat_id TEXT NOT NULL,\n url TEXT NOT NULL,\n article TEXT NOT NULL,\n status TEXT NOT NULL DEFAULT 'active',\n current_question INTEGER NOT NULL DEFAULT 1,\n created_at TEXT NOT NULL DEFAULT (datetime('now'))\n )`,\n `CREATE TABLE IF NOT EXISTS quiz_questions (\n id INTEGER PRIMARY KEY AUTOINCREMENT,\n session_id INTEGER NOT NULL,\n idx INTEGER NOT NULL,\n question TEXT NOT NULL,\n expected_answer TEXT NOT NULL,\n user_answer TEXT,\n feedback TEXT,\n score INTEGER\n )`,\n ]);\n}\n\nexport async function cancelActiveSessions(chatId: string) {\n await sqlite.execute({\n sql: \"UPDATE quiz_sessions SET status = 'cancelled' WHERE chat_id = ? AND status = 'active'\",\n args: [chatId],\n });\n}\n\nexport async function createSession(\n chatId: string,\n url: string,\n article: string,\n questions: { question: string; expectedAnswer: string }[],\n): Promise {\n const result = await sqlite.execute({\n sql: \"INSERT INTO quiz_sessions (chat_id, url, article) VALUES (?, ?, ?)\",\n args: [chatId, url, article],\n });\n const sessionId = Number(result.lastInsertRowid);\n await sqlite.batch(questions.map((q, i) => ({\n sql: \"INSERT INTO quiz_questions (session_id, idx, question, expected_answer) VALUES (?, ?, ?, ?)\",\n args: [sessionId, i + 1, q.question, q.expectedAnswer],\n })));\n return sessionId;\n}\n\nexport async function getActiveSession(chatId: string): Promise {\n const result = await sqlite.execute({\n sql: \"SELECT id, chat_id, url, current_question FROM quiz_sessions WHERE chat_id = ? AND status = 'active' ORDER BY id DESC LIMIT 1\",\n args: [chatId],\n });\n return (result.rows[0] as unknown as Session) ?? null;\n}\n\nexport async function getQuestion(sessionId: number, idx: number): Promise {\n const result = await sqlite.execute({\n sql: \"SELECT id, idx, question, expected_answer, user_answer, feedback, score FROM quiz_questions WHERE session_id = ? AND idx = ?\",\n args: [sessionId, idx],\n });\n return (result.rows[0] as unknown as Question) ?? null;\n}\n\nexport async function getAllQuestions(sessionId: number): Promise {\n const result = await sqlite.execute({\n sql: \"SELECT id, idx, question, expected_answer, user_answer, feedback, score FROM quiz_questions WHERE session_id = ? ORDER BY idx\",\n args: [sessionId],\n });\n return result.rows as unknown as Question[];\n}\n\nexport async function saveAnswer(\n questionId: number,\n userAnswer: string,\n feedback: string,\n score: number,\n) {\n await sqlite.execute({\n sql: \"UPDATE quiz_questions SET user_answer = ?, feedback = ?, score = ? WHERE id = ?\",\n args: [userAnswer, feedback, score, questionId],\n });\n}\n\nexport async function advanceSession(sessionId: number, nextQuestion: number) {\n await sqlite.execute({\n sql: \"UPDATE quiz_sessions SET current_question = ? WHERE id = ?\",\n args: [nextQuestion, sessionId],\n });\n}\n\nexport async function finishSession(sessionId: number) {\n await sqlite.execute({\n sql: \"UPDATE quiz_sessions SET status = 'finished' WHERE id = ?\",\n args: [sessionId],\n });\n}\n",[155],"9cd832e6-82c9-44aa-b7c0-69806db0df01","article.ts","5b37f804-65a9-11f1-a928-1607ee4eb77e",2,["D",1781191347936],"const MAX_ARTICLE_CHARS = 30000;\n\nexport async function extractArticle(url: string): Promise {\n const res = await fetch(url, {\n headers: {\n \"User-Agent\": \"Mozilla/5.0 (compatible; TelegramQuizBot/1.0)\",\n \"Accept\": \"text/html,application/xhtml+xml\",\n },\n redirect: \"follow\",\n });\n if (!res.ok) {\n throw new Error(`Could not fetch ${url} (HTTP ${res.status})`);\n }\n const html = await res.text();\n\n const scope = html.match(//i)?.[0] ??\n html.match(//i)?.[0] ??\n html.match(//i)?.[0] ??\n html;\n\n const text = scope\n .replace(/<(script|style|noscript|svg|nav|footer|header|aside)\\b[\\s\\S]*?<\\/\\1>/gi, \" \")\n .replace(//g, \" \")\n .replace(/<[^>]+>/g, \" \")\n .replace(/ /gi, \" \")\n .replace(/&/gi, \"&\")\n .replace(/</gi, \"<\")\n .replace(/>/gi, \">\")\n .replace(/"/gi, '\"')\n .replace(/�?39;/g, \"'\")\n .replace(/\\s+/g, \" \")\n .trim();\n\n if (text.length < 200) {\n throw new Error(\"Could not extract readable text from that page\");\n }\n return text.slice(0, MAX_ARTICLE_CHARS);\n}\n",[162],"38ddb6ec-2077-45db-94b3-cafce9fd2a78",".vtignore","5b6eafa2-65a9-11f1-876d-1607ee4eb77e",6,["D",1781191348285],".env\n.claude/\nCLAUDE.md\ndeno.json\ndeno.lock\n.vt/\n",[169],"b8f3759c-a45c-460b-921c-17983820d20d",".claude","d95cb8be-65a9-11f1-ad97-1607ee4eb77e",9,["D",1781191559559],"directory",[176],"pulls","forks","envVars",{"_188":164,"_190":52},"connections",{"_188":52,"_189":52},"count","unfilledCount","emptyCount",{"_20":175,"_13":176,"_124":177,"_126":-5,"_127":21,"_128":178,"_130":110,"_22":217,"_29":52,"_132":180,"_134":-5,"_136":38,"_137":-5,"_199":218,"_91":219},{"_20":168,"_13":169,"_124":170,"_126":-5,"_127":21,"_128":171,"_130":110,"_22":214,"_29":52,"_132":103,"_134":173,"_136":38,"_137":-5,"_199":215,"_91":216},{"_20":161,"_13":162,"_124":163,"_126":-5,"_127":21,"_128":164,"_130":110,"_22":211,"_29":52,"_132":133,"_134":166,"_136":38,"_137":-5,"_199":212,"_91":213},{"_20":154,"_13":155,"_124":156,"_126":-5,"_127":21,"_128":157,"_130":110,"_22":208,"_29":52,"_132":133,"_134":159,"_136":38,"_137":-5,"_199":209,"_91":210},{"_20":146,"_13":147,"_124":148,"_126":-5,"_127":21,"_128":149,"_130":110,"_22":205,"_29":52,"_132":151,"_134":152,"_136":38,"_137":-5,"_199":206,"_91":207},{"_20":139,"_13":140,"_124":141,"_126":-5,"_127":21,"_128":30,"_130":110,"_22":202,"_29":143,"_132":133,"_134":144,"_136":38,"_137":-5,"_199":203,"_91":204},{"_20":122,"_13":123,"_124":125,"_126":-5,"_127":21,"_128":129,"_130":110,"_22":198,"_29":52,"_132":133,"_134":135,"_136":38,"_137":-5,"_199":200,"_91":201},["D",1781191348216],"children",[],[123],["D",1781191559851],[],[140],["D",1781191347996],[],[147],["D",1781191348216],[],[155],["D",1781191347936],[],[162],["D",1781191348285],[],[169],["D",1781191559559],[],[176],["D",1781191346383],["D",1789492855745],{"_11":12,"_89":85},{"_11":12,"_83":-5,"_84":85,"_45":46,"_86":87,"_88":38},{"_29":30,"_13":26,"_20":21,"_27":28,"_31":-5,"_32":-5,"_78":-5,"_79":-5,"_80":-5,"_81":14,"_82":12},"ctx",{"_71":-5,"_112":258,"_259":260,"_261":262,"_263":38,"_264":38,"_265":38,"_266":110,"_267":-5,"_268":-7,"_269":-7,"_270":52,"_271":38,"_272":38,"_273":-5,"_274":38,"_275":38,"_276":38,"_277":-5},"ENV",{"_229":230,"_231":232,"_233":26,"_234":235,"_236":237,"_238":239,"_240":241,"_242":243,"_244":245,"_246":247,"_248":249,"_250":251,"_252":253,"_254":255,"_256":257},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

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