[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_191":192,"_193":194},"routes/_app.x.$handle.$name",{"_96":95,"_31":43,"_104":86,"_26":105,"_13":14,"_106":-5,"_11":107,"_108":109,"_110":111,"_112":113,"_114":115,"_20":-5,"_116":-5,"_117":-5,"_118":24,"_119":120,"_121":122,"_123":-5,"_124":-5,"_125":126},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_41":42,"_31":43,"_36":44,"_45":-5,"_46":24,"_47":48,"_49":48,"_50":51,"_52":-5,"_18":53,"_54":-5,"_55":24,"_56":-5,"_57":-5,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":79,"_80":81,"_82":83,"_84":24},"version",4,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":-7,"_23":24,"_25":24,"_26":27,"_28":27},"file",{"_29":30,"_31":27,"_32":33,"_34":35,"_36":37,"_38":14,"_39":40,"_23":24},"previous","deleted",false,"deletedHere","path","main.http.ts","latestPath","fileId","5b4a7484-65a9-11f1-9193-1607ee4eb77e","name","fileType","http","content","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","createdAt",["D",1781191347996],"branchVersion","branchId","f5948af5-dc26-4b4c-aded-fcc45db4a3c9","id","e4054491-7b4b-4987-a0e4-34862d2b417b","telegram-quiz-bot",["D",1781191346383],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Telegram bot: send a link, get a 10-question quiz","imageUrl","57450708-2f6b-45e3-9fb3-b7755eea7eac","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","ae92e37a-56e9-4ca5-bda6-7082f9350ad9","tursoName","e40544917b4b4987a0e434862d2b417b","tursoHostname","e40544917b4b4987a0e434862d2b417b-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789492855745],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_96":95,"_103":99},"org",{"_96":95,"_97":-5,"_98":99,"_18":53,"_100":101,"_102":24},"branch",{"_13":85,"_31":86,"_41":40,"_87":42,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":43,"_94":95},"isOwned",10,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","ynonp","handle","displayName","avatar","https://img.clerk.com/eyJ0eXBlIjoicHJveHkiLCJzcmMiOiJodHRwczovL2ltYWdlcy5jbGVyay5kZXYvb2F1dGhfZ2l0aHViL2ltZ18yZlY2Mm5paHdZZlppWjlZT0F1UzdsdmFuazIifQ","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_41":42,"_31":43,"_36":186,"_45":-5,"_46":24,"_47":48,"_49":48,"_50":51,"_52":-5,"_18":53,"_54":-5,"_55":24,"_56":-5,"_57":-5,"_58":59,"_60":61,"_62":63,"_64":65,"_66":187,"_68":-5,"_69":70,"_71":70,"_72":73,"_74":73,"_75":73,"_76":70,"_77":70,"_78":188,"_80":189,"_82":190,"_84":24},"tree",[169,170,171,172],"files",[169,170,171,172],"counts",{"_159":59,"_160":155,"_161":59,"_162":163,"_164":165},"contents",[127,128,129,130],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles",true,"grants","orgs","customDomains",{},{"_41":152,"_31":153,"_29":154,"_134":-5,"_39":40,"_38":155,"_136":24,"_36":156,"_13":59,"_32":157,"_34":-5,"_23":24,"_140":-5,"_26":158},{"_41":145,"_31":146,"_29":147,"_134":-5,"_39":40,"_38":148,"_136":122,"_36":149,"_13":59,"_32":138,"_34":150,"_23":24,"_140":-5,"_26":151},{"_41":142,"_31":27,"_29":30,"_134":-5,"_39":40,"_38":14,"_136":122,"_36":143,"_13":59,"_32":33,"_34":35,"_23":24,"_140":-5,"_26":144},{"_41":131,"_31":132,"_29":133,"_134":-5,"_39":40,"_38":135,"_136":24,"_36":137,"_13":59,"_32":138,"_34":139,"_23":24,"_140":-5,"_26":141},"d6f38db1-d392-4dfe-8325-79f0fc0e5955","quiz.ts","5b404662-65a9-11f1-8f79-1607ee4eb77e","parentId",3,"latest",["D",1781191347990],"script","import {\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","label",[132],"b2796285-3ff9-4551-b5da-d52967137eee",["D",1781191347996],[27],"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",[146],"d2e4bf6e-7e48-4e49-a813-6afcb0c863f5",".claude","5afc2824-65a9-11f1-81d6-1607ee4eb77e",1,["D",1781191347498],"directory",[153],"pulls","branches","forks","envVars",{"_166":148,"_168":59},"connections",{"_166":59,"_167":59},"count","unfilledCount","emptyCount",{"_41":152,"_31":153,"_29":154,"_134":-5,"_39":40,"_38":155,"_136":24,"_36":183,"_13":59,"_32":157,"_34":-5,"_23":24,"_140":-5,"_174":184,"_26":185},{"_41":145,"_31":146,"_29":147,"_134":-5,"_39":40,"_38":148,"_136":122,"_36":180,"_13":59,"_32":138,"_34":150,"_23":24,"_140":-5,"_174":181,"_26":182},{"_41":142,"_31":27,"_29":30,"_134":-5,"_39":40,"_38":14,"_136":122,"_36":177,"_13":59,"_32":33,"_34":35,"_23":24,"_140":-5,"_174":178,"_26":179},{"_41":131,"_31":132,"_29":133,"_134":-5,"_39":40,"_38":135,"_136":24,"_36":173,"_13":59,"_32":138,"_34":139,"_23":24,"_140":-5,"_174":175,"_26":176},["D",1781191347990],"children",[],[132],["D",1781191347996],[],[27],["D",1781191347936],[],[146],["D",1781191347498],[],[153],["D",1781191346383],["D",1789492855745],{"_96":95,"_103":99},{"_96":95,"_97":-5,"_98":99,"_18":53,"_100":101,"_102":24},{"_13":85,"_31":86,"_41":40,"_87":42,"_88":-5,"_89":-5,"_90":-5,"_91":-5,"_92":-5,"_93":43,"_94":95},"ctx",{"_78":-5,"_124":224,"_225":226,"_227":228,"_229":24,"_230":24,"_231":24,"_232":122,"_233":-5,"_234":-7,"_235":-7,"_236":59,"_237":24,"_238":24,"_239":-5,"_240":24,"_241":24,"_242":24,"_243":-5},"ENV",{"_195":196,"_197":198,"_199":86,"_200":201,"_202":203,"_204":205,"_206":207,"_208":209,"_210":211,"_212":213,"_214":215,"_216":217,"_218":219,"_220":221,"_222":223},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v4