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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","// @openai/agents-core's node shim imports this optional peer dep; 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${transcript}`,\n );\n return result.finalOutput ?? `Quiz finished! 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TOKEN = Deno.env.get(\"TELEGRAM_API_KEY\")!;\n\nexport async function sendMessage(chatId: string, text: string) {\n const res = await fetch(`https://api.telegram.org/bot${TOKEN}/sendMessage`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ chat_id: chatId, text: text.slice(0, 4096) }),\n });\n if (!res.ok) {\n console.error(\"sendMessage failed\", res.status, await res.text());\n }\n}\n","label",[136],"869ee789-3703-4fd6-9662-793f93d08ef7",["D",1781191559851],1,[28],"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",[150],"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 = ? 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Diff · v10