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Same val, just paste over.\n\nimport {\n create as createJWT,\n getNumericDate,\n} from \"https://deno.land/x/djwt@v3.0.1/mod.ts\";\n\n// ---------- Env ----------\nconst TG_TOKEN = Deno.env.get(\"TELEGRAM_BOT_TOKEN\")!;\nconst SUPABASE_URL = Deno.env.get(\"SUPABASE_URL\")!;\nconst SUPABASE_KEY = Deno.env.get(\"SUPABASE_ANON_KEY\")!;\nconst ANTHROPIC_KEY = Deno.env.get(\"ANTHROPIC_API_KEY\")!;\nconst GROQ_KEY = Deno.env.get(\"GROQ_API_KEY\")!;\nconst ALLOWED_USER = Deno.env.get(\"ALLOWED_USER_ID\")!;\nconst SHEET_ID = Deno.env.get(\"GOOGLE_SHEET_ID\")!;\nconst SA_JSON = Deno.env.get(\"GOOGLE_SERVICE_ACCOUNT_JSON\")!;\n\n// ---------- Telegram ----------\nasync function tgReply(chatId: number, text: string) {\n const truncated = text.length > 4000 ? text.slice(0, 3997) + \"...\" : text;\n const attempt = async (useMarkdown: boolean) => {\n const body: any = { chat_id: chatId, text: truncated };\n if (useMarkdown) body.parse_mode = \"Markdown\";\n return await fetch(`https://api.telegram.org/bot${TG_TOKEN}/sendMessage`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify(body),\n });\n };\n let res = await attempt(true);\n if (!res.ok) res = await attempt(false);\n if (!res.ok) console.error(\"tg send failed:\", await res.text());\n}\n\n// ---------- Voice ----------\nasync function downloadVoice(fileId: string): Promise {\n const info =\n await (await fetch(\n `https://api.telegram.org/bot${TG_TOKEN}/getFile?file_id=${fileId}`,\n )).json();\n return await (await fetch(\n `https://api.telegram.org/file/bot${TG_TOKEN}/${info.result.file_path}`,\n )).arrayBuffer();\n}\nasync function transcribe(audio: ArrayBuffer): Promise {\n const form = new FormData();\n form.append(\"file\", new Blob([audio], { type: \"audio/ogg\" }), \"voice.ogg\");\n form.append(\"model\", \"whisper-large-v3\");\n const res = await fetch(\n \"https://api.groq.com/openai/v1/audio/transcriptions\",\n {\n method: \"POST\",\n headers: { Authorization: `Bearer ${GROQ_KEY}` },\n body: form,\n },\n );\n if (!res.ok) throw new Error(`groq ${res.status}`);\n return ((await res.json()).text || \"\").trim();\n}\n\n// ---------- Google auth ----------\nlet cachedToken: { token: string; expiresAt: number } | null = null;\nasync function getGoogleToken(): Promise {\n if (cachedToken && cachedToken.expiresAt > Date.now() + 60_000) {\n return cachedToken.token;\n }\n\n const sa = JSON.parse(SA_JSON);\n // Convert PEM private key to CryptoKey\n const pem = sa.private_key.replace(/-----BEGIN PRIVATE KEY-----/, \"\").replace(\n /-----END PRIVATE KEY-----/,\n \"\",\n ).replace(/\\s/g, \"\");\n const binaryDer = Uint8Array.from(atob(pem), (c) => c.charCodeAt(0));\n const cryptoKey = await crypto.subtle.importKey(\n \"pkcs8\",\n binaryDer.buffer,\n { name: \"RSASSA-PKCS1-v1_5\", hash: \"SHA-256\" },\n false,\n [\"sign\"],\n );\n\n const jwt = await createJWT(\n { alg: \"RS256\", typ: \"JWT\" },\n {\n iss: sa.client_email,\n scope: \"https://www.googleapis.com/auth/spreadsheets\",\n aud: \"https://oauth2.googleapis.com/token\",\n exp: getNumericDate(3600),\n iat: getNumericDate(0),\n },\n cryptoKey,\n );\n\n const res = await fetch(\"https://oauth2.googleapis.com/token\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/x-www-form-urlencoded\" },\n body:\n `grant_type=urn:ietf:params:oauth:grant-type:jwt-bearer&assertion=${jwt}`,\n });\n if (!res.ok) throw new Error(`google auth: ${await res.text()}`);\n const data = await res.json();\n cachedToken = {\n token: data.access_token,\n expiresAt: Date.now() + data.expires_in * 1000,\n };\n return data.access_token;\n}\n\n// ---------- Sheets ----------\nasync function readRange(range: string): Promise {\n const token = await getGoogleToken();\n const res = await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${SHEET_ID}/values/${\n encodeURIComponent(range)\n }`,\n { headers: { Authorization: `Bearer ${token}` } },\n );\n if (!res.ok) {\n throw new Error(`sheets read ${res.status}: ${await res.text()}`);\n }\n return (await res.json()).values || [];\n}\n\nasync function appendRun(values: any[]) {\n const token = await getGoogleToken();\n const range = \"Bot Log!A:I\";\n const res = await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${SHEET_ID}/values/${\n encodeURIComponent(range)\n }:append?valueInputOption=USER_ENTERED&insertDataOption=INSERT_ROWS`,\n {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${token}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({ values: [values] }),\n },\n );\n if (!res.ok) throw new Error(`sheets append: ${await res.text()}`);\n return await res.json();\n}\n\n// ---------- Week math ----------\nconst RACE_DAY = new Date(\"2026-08-29\");\nconst WEEK_1_START = new Date(\"2026-03-29\");\nfunction weekForDate(d: Date): number | null {\n if (d < WEEK_1_START || d > RACE_DAY) return null;\n return Math.floor((d.getTime() - WEEK_1_START.getTime()) / (7 * 86400_000)) +\n 1;\n}\nfunction todayLocal(): Date {\n // Bot operates in user's local time approximately — Chicago is Central\n return new Date();\n}\nfunction dayOfWeek(d: Date): string {\n return [\"SUN\", \"MON\", \"TUE\", \"WED\", \"THU\", \"FRI\", \"SAT\"][d.getDay()];\n}\n\n// ---------- Plan + log readers ----------\nasync function getTodaysPlan(): Promise<\n { week: number; day: string; workout: string; weekTotal: number } | null\n> {\n const today = todayLocal();\n const week = weekForDate(today);\n if (!week) return null;\n // Plan tab: row 4 = headers, week N is row 4+N\n // Cols: A=WK B=DATES C=PHASE D=SUN E=MON F=TUE G=WED H=THU I=FRI J=SAT K=MILES\n const rows = await readRange(`Plan!A${4 + week}:K${4 + week}`);\n if (!rows.length) return null;\n const row = rows[0];\n const dayIdx = today.getDay(); // 0=Sun, 6=Sat\n const workout = row[3 + dayIdx] || \"Rest\";\n const weekTotal = parseFloat(row[10] || \"0\");\n return { week, day: dayOfWeek(today), workout, weekTotal };\n}\n\nasync function getWeekProgress(\n week: number,\n): Promise<{ logged: any[]; totalMiles: number }> {\n // Bot Log: rows from row 5\n // Cols: A=DATE B=WEEK C=WORKOUT D=MILES E=TIME F=PACE G=FEEL H=NOTES I=SOURCE\n const rows = await readRange(`Bot Log!A5:I1000`);\n const logged = rows.filter((r) => parseInt(r[1]) === week);\n const totalMiles = logged.reduce(\n (sum, r) => sum + (parseFloat(r[3]) || 0),\n 0,\n );\n return { logged, totalMiles };\n}\n\nasync function getRecentRuns(limit = 5): Promise {\n const rows = await readRange(`Bot Log!A5:I1000`);\n return rows.slice(-limit).reverse();\n}\n\n// ---------- Claude ----------\nasync function callClaudeJSON(prompt: string, maxTokens = 800): Promise {\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"x-api-key\": ANTHROPIC_KEY,\n \"anthropic-version\": \"2023-06-01\",\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"claude-haiku-4-5-20251001\",\n max_tokens: maxTokens,\n messages: [{ role: \"user\", content: prompt }],\n }),\n });\n if (!res.ok) throw new Error(`claude ${res.status}: ${await res.text()}`);\n const json = await res.json();\n return JSON.parse(\n json.content[0].text.trim().replace(/```json|```/g, \"\").trim(),\n );\n}\n\nasync function callClaudeText(\n prompt: string,\n maxTokens = 600,\n useWebSearch = false,\n): Promise {\n const body: any = {\n model: \"claude-haiku-4-5-20251001\",\n max_tokens: maxTokens,\n messages: [{ role: \"user\", content: prompt }],\n };\n if (useWebSearch) {\n body.tools = [{ type: \"web_search_20250305\", name: \"web_search\" }];\n }\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"x-api-key\": ANTHROPIC_KEY,\n \"anthropic-version\": \"2023-06-01\",\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify(body),\n });\n if (!res.ok) throw new Error(`claude ${res.status}`);\n const json = await res.json();\n return json.content.filter((b: any) => b.type === \"text\").map((b: any) =>\n b.text\n ).join(\"\\n\").trim();\n}\n\n// ---------- Supabase (todos) ----------\nasync function sbFetch(path: string, opts: any = {}) {\n const res = await fetch(`${SUPABASE_URL}/rest/v1/${path}`, {\n ...opts,\n headers: {\n apikey: SUPABASE_KEY,\n Authorization: `Bearer ${SUPABASE_KEY}`,\n \"Content-Type\": \"application/json\",\n Prefer: \"return=representation\",\n ...(opts.headers || {}),\n },\n });\n if (!res.ok) throw new Error(`supabase ${res.status}`);\n if (opts.method === \"DELETE\" || res.status === 204) return null;\n const text = await res.text();\n return text ? JSON.parse(text) : null;\n}\nasync function getOpenTodos() {\n return await sbFetch(\n \"todos?status=eq.open&order=sort_order.asc,created_at.asc\",\n );\n}\nasync function insertTodo(task: string, category = \"inbox\") {\n return await sbFetch(\"todos\", {\n method: \"POST\",\n body: JSON.stringify({\n task,\n category,\n priority: 3,\n sort_order: Date.now(),\n }),\n });\n}\n\n// ---------- Pending confirmation cache ----------\n// Per-chat, in-memory. Resets on val redeploy. Good enough for personal use.\nconst pendingConfirms = new Map<\n number,\n { type: \"run\"; data: any; expires: number }\n>();\nfunction setPending(chatId: number, type: \"run\", data: any) {\n pendingConfirms.set(chatId, { type, data, expires: Date.now() + 5 * 60_000 });\n}\nfunction getPending(chatId: number) {\n const p = pendingConfirms.get(chatId);\n if (!p || p.expires < Date.now()) {\n pendingConfirms.delete(chatId);\n return null;\n }\n return p;\n}\n\n// ---------- Intent classifier ----------\nasync function classify(text: string, todos: any[]): Promise {\n const lower = text.toLowerCase().trim();\n\n // Confirmation fast-path\n if (\n /^(yes|y|confirm|yep|yeah|sure|ok|okay|do it|save it|log it)$/i.test(lower)\n ) {\n return { action: \"confirm\" };\n }\n if (/^(no|n|cancel|nope|don't|dont)$/i.test(lower)) {\n return { action: \"cancel\" };\n }\n\n // Use Claude for everything else\n const prompt =\n `Classify this Telegram message for Neesha (Kellogg MBA, training for Hood to Coast Aug 29).\n\nMessage: \"${text}\"\n\nOpen todos:\n${\n todos.slice(0, 10).map((t: any) =>\n `${t.id} | ${t.category || \"inbox\"} | ${t.task}`\n ).join(\"\\n\") || \"(none)\"\n }\n\nReturn ONLY valid JSON, no fences:\n{\n \"action\": \"log_run\" | \"query_run\" | \"todo_add\" | \"todo_query\" | \"todo_complete\" | \"assist\",\n \"run_data\": { \"miles\": number|null, \"time\": \"h:mm:ss\"|null, \"feel\": 1-10|null, \"workout\": \"Run\"|\"Strength\"|\"Pilates\"|etc, \"notes\": \"string\" },\n \"task\": \"cleaned task text\",\n \"complete_ids\": [\"uuid\"],\n \"needs_web_search\": boolean\n}\n\nRules:\n- Statements about a run she did → log_run. Parse miles, time, feel, notes from natural language.\n Examples: \"did 4 miles in 39 minutes felt strong\" → log_run with miles=4, time=\"0:39:00\", feel=8\n \"ran 3 miles felt like a 5\" → log_run, miles=3, feel=5, time=null\n \"5k in 28 minutes\" → log_run, miles=3.1, time=\"0:28:00\"\n- Questions about training/runs (\"what's my run today\", \"how am I tracking\") → query_run\n- Statements about non-run tasks → todo_add\n- Questions about todos (\"what's in career\") → todo_query\n- \"done: X\" / \"I finished X\" → todo_complete\n- Anything else (general questions, drafts, weather) → assist; set needs_web_search if it's about current events/weather/etc\n\nTime parsing: \"28 minutes\" → \"0:28:00\". \"1 hour 5 min\" → \"1:05:00\". \"8 minutes 30\" → \"0:08:30\".\nFeel parsing: \"felt good\"=7, \"felt strong\"=8, \"felt great\"=9, \"felt amazing\"=10, \"felt ok\"=6, \"felt meh\"=5, \"felt bad\"=4, \"felt terrible\"=2.`;\n\n return await callClaudeJSON(prompt);\n}\n\n// ---------- Run logging flow ----------\nfunction timeToSeconds(t: string): number {\n const parts = t.split(\":\").map(Number);\n if (parts.length === 3) return parts[0] * 3600 + parts[1] * 60 + parts[2];\n if (parts.length === 2) return parts[0] * 60 + parts[1];\n return 0;\n}\nfunction secondsToPace(secs: number, miles: number): string {\n if (!miles || miles <= 0) return \"\";\n const paceSec = Math.round(secs / miles);\n const m = Math.floor(paceSec / 60);\n const s = paceSec % 60;\n return `${m}:${s.toString().padStart(2, \"0\")}`;\n}\n\nasync function handleLogRun(chatId: number, runData: any) {\n const today = todayLocal();\n const week = weekForDate(today);\n if (!week) {\n await tgReply(chatId, \"Today is outside the training plan window.\");\n return;\n }\n const plan = await getTodaysPlan();\n const progress = await getWeekProgress(week);\n\n // Compose pending data\n const miles = runData.miles ?? null;\n const time = runData.time ?? null;\n const feel = runData.feel ?? null;\n const workout = runData.workout || \"Run\";\n const notes = runData.notes || \"\";\n\n let pace = \"\";\n if (miles && time) {\n pace = secondsToPace(timeToSeconds(time), miles);\n }\n\n // Project new total\n const newTotal = progress.totalMiles + (miles || 0);\n const planTotal = plan?.weekTotal ?? 0;\n\n // Format confirmation\n let summary = `*Got it — confirm this?*\\n\\n`;\n summary += `📅 ${today.toDateString()} (Week ${week})\\n`;\n summary += `🏃 ${workout}`;\n if (miles) summary += ` · ${miles} mi`;\n if (time) summary += ` · ${time}`;\n if (pace) summary += ` · ${pace}/mi`;\n if (feel) summary += ` · feel ${feel}/10`;\n summary += `\\n`;\n if (notes) summary += `📝 ${notes}\\n`;\n summary += `\\n_Today's plan: ${plan?.workout || \"—\"}_\\n`;\n if (miles) {\n summary += `_Week ${week}: ${\n newTotal.toFixed(1)\n } of ${planTotal} planned mi_\\n`;\n }\n summary += `\\nReply *yes* to log, *no* to cancel.`;\n\n setPending(chatId, \"run\", {\n miles,\n time,\n pace,\n feel,\n workout,\n notes,\n week,\n date: today,\n });\n await tgReply(chatId, summary);\n}\n\nasync function commitRun(chatId: number, data: any) {\n const dateStr = `${(data.date.getMonth() + 1).toString().padStart(2, \"0\")}/${\n data.date.getDate().toString().padStart(2, \"0\")\n }/${data.date.getFullYear()}`;\n // Columns: DATE | WEEK | WORKOUT | MILES | TIME | PACE | FEEL | NOTES | SOURCE\n const row = [\n dateStr,\n data.week,\n data.workout,\n data.miles ?? \"\",\n data.time ?? \"\",\n \"\", // pace will be auto-calculated by sheet formula if we leave it; or we can write it\n data.feel ?? \"\",\n data.notes || \"\",\n \"bot\",\n ];\n // Actually, the formula is only on the migrated rows. New rows need pace written explicitly.\n row[5] = data.pace || \"\";\n\n await appendRun(row);\n\n // Coach-voice response\n const plan = await getTodaysPlan();\n const progress = await getWeekProgress(data.week);\n const newTotal = progress.totalMiles + (data.miles || 0);\n const planTotal = plan?.weekTotal ?? 0;\n const pctComplete = planTotal > 0\n ? Math.round((newTotal / planTotal) * 100)\n : 0;\n\n const coachPrompt =\n `You are Neesha's running coach. She just logged this run. Give a short, motivating, honest response (2-3 sentences max, plain text, no markdown).\n\nRun logged:\n- Date: ${data.date.toDateString()} (Week ${data.week})\n- Workout: ${data.workout}${data.miles ? `, ${data.miles} mi` : \"\"}${\n data.time ? `, ${data.time}` : \"\"\n }${data.pace ? ` (${data.pace}/mi)` : \"\"}${\n data.feel ? `, feel ${data.feel}/10` : \"\"\n }\n- Notes: ${data.notes || \"(none)\"}\n- Today's plan said: ${plan?.workout || \"—\"}\n\nWeek context:\n- This run brings her to ${\n newTotal.toFixed(1)\n } of ${planTotal} planned miles for the week (${pctComplete}%)\n\nTone: warm, direct, coach voice. Acknowledge effort. Be specific about pace/feel. If she's behind on weekly miles, gently note what's left. If she's ahead or on track, validate. If feel was low (1-3), be supportive — don't push.`;\n\n const coachReply = await callClaudeText(coachPrompt, 300);\n await tgReply(chatId, `✅ Logged.\\n\\n${coachReply}`);\n}\n\n// ---------- Run queries ----------\nasync function handleRunQuery(chatId: number, text: string) {\n const today = todayLocal();\n const week = weekForDate(today);\n const plan = await getTodaysPlan();\n const progress = week ? await getWeekProgress(week) : null;\n const recent = await getRecentRuns(5);\n\n const prompt =\n `Answer Neesha's question about her Hood to Coast training. Reply in 2-4 sentences, plain text, no markdown headers.\n\nHer question: \"${text}\"\n\nToday: ${today.toDateString()} (Week ${week ?? \"—\"})\nToday's planned workout: ${plan?.workout || \"—\"}\nWeek ${week} planned total: ${plan?.weekTotal || 0} mi\nLogged this week so far: ${progress?.totalMiles.toFixed(1) || 0} mi\n\nLast 5 logged sessions:\n${\n recent.map((r) =>\n `- ${r[0]}: ${r[2] || \"Run\"} ${r[3] || \"\"}mi ${r[4] || \"\"} (feel ${\n r[6] || \"—\"\n }) — ${r[7] || \"\"}`\n ).join(\"\\n\") || \"(none)\"\n }\n\nTone: direct coach voice, honest, no hype.`;\n\n const reply = await callClaudeText(prompt, 500);\n await tgReply(chatId, reply);\n}\n\n// ---------- Assist (general questions) ----------\nfunction needsWebSearch(text: string): boolean {\n return /\\b(weather|forecast|temperature|news|today|tomorrow|latest|recent|current|now|this week|stock|price|who is|score)\\b/i\n .test(text);\n}\nasync function handleAssist(chatId: number, text: string, useSearch: boolean) {\n const prompt =\n `You are Neesha's personal assistant via Telegram. She's a Kellogg MBA grad, job searching for AI operator roles in SF, wedding in June, training for Hood to Coast.\n\nHer message: \"${text}\"\n\nReply concisely (max 200 words, plain text). If she asked you to draft something, draft it. If factual question, answer it. Direct, evidence-based, not hype-y.`;\n try {\n const reply = await callClaudeText(prompt, 800, useSearch);\n await tgReply(chatId, reply || \"(no response)\");\n } catch (err: any) {\n await tgReply(chatId, `error: ${err.message}`);\n }\n}\n\n// ---------- Main handler ----------\nexport default async function (req: Request): Promise {\n if (req.method !== \"POST\") return new Response(\"ok\");\n\n let update: any;\n try {\n update = await req.json();\n } catch {\n return new Response(\"ok\");\n }\n const msg = update.message;\n if (!msg) return new Response(\"ok\");\n if (String(msg.from.id) !== ALLOWED_USER) {\n await tgReply(msg.chat.id, \"not authorized\");\n return new Response(\"ok\");\n }\n\n // Voice → text\n let text = (msg.text || \"\").trim();\n if (msg.voice) {\n try {\n const audio = await downloadVoice(msg.voice.file_id);\n text = await transcribe(audio);\n if (!text) {\n await tgReply(msg.chat.id, \"couldn't hear that — try again?\");\n return new Response(\"ok\");\n }\n } catch (err: any) {\n await tgReply(msg.chat.id, `voice error: ${err.message}`);\n return new Response(\"ok\");\n }\n }\n if (!text) return new Response(\"ok\");\n\n if (text === \"/start\") {\n await tgReply(\n msg.chat.id,\n \"Hi. Send me todos or log your runs (text or voice). Ask me anything.\",\n );\n return new Response(\"ok\");\n }\n\n try {\n const todos = await getOpenTodos();\n const intent = await classify(text, todos);\n\n // Confirmation handling\n if (intent.action === \"confirm\") {\n const pending = getPending(msg.chat.id);\n if (!pending) {\n await tgReply(msg.chat.id, \"Nothing to confirm — send me a run first.\");\n return new Response(\"ok\");\n }\n await commitRun(msg.chat.id, pending.data);\n pendingConfirms.delete(msg.chat.id);\n return new Response(\"ok\");\n }\n if (intent.action === \"cancel\") {\n pendingConfirms.delete(msg.chat.id);\n await tgReply(msg.chat.id, \"Cancelled.\");\n return new Response(\"ok\");\n }\n\n switch (intent.action) {\n case \"log_run\":\n await handleLogRun(msg.chat.id, intent.run_data || {});\n break;\n case \"query_run\":\n await handleRunQuery(msg.chat.id, text);\n break;\n case \"todo_add\":\n await insertTodo(intent.task || text);\n await tgReply(msg.chat.id, `added: ${intent.task || text} ✓`);\n break;\n case \"todo_complete\":\n // Simple version — let the to-do app handle this for now\n await tgReply(\n msg.chat.id,\n \"Mark it done in the To Do extension. (Closing the loop on this in the bot is a future upgrade.)\",\n );\n break;\n case \"todo_query\":\n case \"assist\":\n default:\n await handleAssist(\n msg.chat.id,\n text,\n intent.needs_web_search ?? needsWebSearch(text),\n );\n }\n } catch (err: any) {\n await tgReply(msg.chat.id, `error: ${err.message}`);\n console.error(err);\n }\n\n return new Response(\"ok\");\n}","// Personal assistant bot — agentic version with tool use\n// Drop-in replacement for telegram-bot-h2c.ts. Same env vars.\n// Create a SECOND val so you can A/B against the working classifier version.\n\nimport {\n create as createJWT,\n getNumericDate,\n} from \"https://deno.land/x/djwt@v3.0.1/mod.ts\";\n\n// ---------- Env ----------\nconst TG_TOKEN = Deno.env.get(\"TELEGRAM_BOT_TOKEN\")!;\nconst SUPABASE_URL = Deno.env.get(\"SUPABASE_URL\")!;\nconst SUPABASE_KEY = Deno.env.get(\"SUPABASE_ANON_KEY\")!;\nconst ANTHROPIC_KEY = Deno.env.get(\"ANTHROPIC_API_KEY\")!;\nconst GROQ_KEY = Deno.env.get(\"GROQ_API_KEY\")!;\nconst ALLOWED_USER = Deno.env.get(\"ALLOWED_USER_ID\")!;\nconst SHEET_ID = Deno.env.get(\"GOOGLE_SHEET_ID\")!;\nconst SA_JSON = Deno.env.get(\"GOOGLE_SERVICE_ACCOUNT_JSON\")!;\n\n// ---------- Telegram ----------\nasync function tgReply(chatId: number, text: string) {\n const truncated = text.length > 4000 ? text.slice(0, 3997) + \"...\" : text;\n const attempt = async (useMarkdown: boolean) => {\n const body: any = { chat_id: chatId, text: truncated };\n if (useMarkdown) body.parse_mode = \"Markdown\";\n return await fetch(`https://api.telegram.org/bot${TG_TOKEN}/sendMessage`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify(body),\n });\n };\n let res = await attempt(true);\n if (!res.ok) res = await attempt(false);\n if (!res.ok) console.error(\"tg send failed:\", await res.text());\n}\n\nasync function tgTyping(chatId: number) {\n // Sends \"typing...\" indicator so user knows we're working\n fetch(`https://api.telegram.org/bot${TG_TOKEN}/sendChatAction`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ chat_id: chatId, action: \"typing\" }),\n }).catch(() => {});\n}\n\n// ---------- Voice ----------\nasync function downloadVoice(fileId: string): Promise {\n const info =\n await (await fetch(\n `https://api.telegram.org/bot${TG_TOKEN}/getFile?file_id=${fileId}`,\n )).json();\n return await (await fetch(\n `https://api.telegram.org/file/bot${TG_TOKEN}/${info.result.file_path}`,\n )).arrayBuffer();\n}\nasync function transcribe(audio: ArrayBuffer): Promise {\n const form = new FormData();\n form.append(\"file\", new Blob([audio], { type: \"audio/ogg\" }), \"voice.ogg\");\n form.append(\"model\", \"whisper-large-v3\");\n const res = await fetch(\n \"https://api.groq.com/openai/v1/audio/transcriptions\",\n {\n method: \"POST\",\n headers: { Authorization: `Bearer ${GROQ_KEY}` },\n body: form,\n },\n );\n if (!res.ok) throw new Error(`groq ${res.status}`);\n return ((await res.json()).text || \"\").trim();\n}\n\n// ---------- Google auth ----------\nlet cachedToken: { token: string; expiresAt: number } | null = null;\nasync function getGoogleToken(): Promise {\n if (cachedToken && cachedToken.expiresAt > Date.now() + 60_000) {\n return cachedToken.token;\n }\n const sa = JSON.parse(SA_JSON);\n const pem = sa.private_key.replace(/-----BEGIN PRIVATE KEY-----/, \"\").replace(\n /-----END PRIVATE KEY-----/,\n \"\",\n ).replace(/\\s/g, \"\");\n const binaryDer = Uint8Array.from(atob(pem), (c) => c.charCodeAt(0));\n const cryptoKey = await crypto.subtle.importKey(\n \"pkcs8\",\n binaryDer.buffer,\n { name: \"RSASSA-PKCS1-v1_5\", hash: \"SHA-256\" },\n false,\n [\"sign\"],\n );\n const jwt = await createJWT(\n { alg: \"RS256\", typ: \"JWT\" },\n {\n iss: sa.client_email,\n scope: \"https://www.googleapis.com/auth/spreadsheets\",\n aud: \"https://oauth2.googleapis.com/token\",\n exp: getNumericDate(3600),\n iat: getNumericDate(0),\n },\n cryptoKey,\n );\n const res = await fetch(\"https://oauth2.googleapis.com/token\", {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/x-www-form-urlencoded\" },\n body:\n `grant_type=urn:ietf:params:oauth:grant-type:jwt-bearer&assertion=${jwt}`,\n });\n if (!res.ok) throw new Error(`google auth: ${await res.text()}`);\n const data = await res.json();\n cachedToken = {\n token: data.access_token,\n expiresAt: Date.now() + data.expires_in * 1000,\n };\n return data.access_token;\n}\n\n// ---------- Sheets ----------\nasync function readRange(range: string): Promise {\n const token = await getGoogleToken();\n const res = await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${SHEET_ID}/values/${\n encodeURIComponent(range)\n }`,\n { headers: { Authorization: `Bearer ${token}` } },\n );\n if (!res.ok) throw new Error(`sheets read ${res.status}`);\n return (await res.json()).values || [];\n}\nasync function appendRun(values: any[]) {\n const token = await getGoogleToken();\n const range = \"Bot Log!A:I\";\n const res = await fetch(\n `https://sheets.googleapis.com/v4/spreadsheets/${SHEET_ID}/values/${\n encodeURIComponent(range)\n }:append?valueInputOption=USER_ENTERED&insertDataOption=INSERT_ROWS`,\n {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${token}`,\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({ values: [values] }),\n },\n );\n if (!res.ok) throw new Error(`sheets append: ${await res.text()}`);\n return await res.json();\n}\n\n// ---------- Week math ----------\nconst RACE_DAY = new Date(\"2026-08-29\");\nconst WEEK_1_START = new Date(\"2026-03-29\");\nfunction weekForDate(d: Date): number | null {\n if (d < WEEK_1_START || d > RACE_DAY) return null;\n return Math.floor((d.getTime() - WEEK_1_START.getTime()) / (7 * 86400_000)) +\n 1;\n}\n\n// ---------- Supabase (todos) ----------\nasync function sbFetch(path: string, opts: any = {}) {\n const res = await fetch(`${SUPABASE_URL}/rest/v1/${path}`, {\n ...opts,\n headers: {\n apikey: SUPABASE_KEY,\n Authorization: `Bearer ${SUPABASE_KEY}`,\n \"Content-Type\": \"application/json\",\n Prefer: \"return=representation\",\n ...(opts.headers || {}),\n },\n });\n if (!res.ok) throw new Error(`supabase ${res.status}: ${await res.text()}`);\n if (opts.method === \"DELETE\" || res.status === 204) return null;\n const text = await res.text();\n return text ? JSON.parse(text) : null;\n}\n\n// ---------- Pace helpers ----------\nfunction timeToSeconds(t: string): number {\n const parts = t.split(\":\").map(Number);\n if (parts.length === 3) return parts[0] * 3600 + parts[1] * 60 + parts[2];\n if (parts.length === 2) return parts[0] * 60 + parts[1];\n return 0;\n}\nfunction secondsToPace(secs: number, miles: number): string {\n if (!miles || miles <= 0) return \"\";\n const paceSec = Math.round(secs / miles);\n const m = Math.floor(paceSec / 60);\n const s = paceSec % 60;\n return `${m}:${s.toString().padStart(2, \"0\")}`;\n}\n\n// ---------- Pending confirmation cache ----------\nconst pendingConfirms = new Map<\n number,\n { kind: string; data: any; expires: number }\n>();\nfunction setPending(chatId: number, kind: string, data: any) {\n pendingConfirms.set(chatId, { kind, data, expires: Date.now() + 5 * 60_000 });\n}\nfunction getPending(chatId: number) {\n const p = pendingConfirms.get(chatId);\n if (!p || p.expires < Date.now()) {\n pendingConfirms.delete(chatId);\n return null;\n }\n return p;\n}\n\n// ============================================================\n// TOOL DEFINITIONS\n// ============================================================\nconst TOOLS = [\n // ----- Hood to Coast -----\n {\n name: \"get_todays_plan\",\n description:\n \"Read today's planned workout from the Hood to Coast training plan. Use this when the user asks what they should run today, what's scheduled, or before logging a run to compare actual vs planned.\",\n input_schema: { type: \"object\", properties: {} },\n },\n {\n name: \"get_week_progress\",\n description:\n \"Get the user's logged miles vs planned miles for a specific training week (1-22). Use this when the user asks how they're tracking, what's left, or before logging a run to give weekly context.\",\n input_schema: {\n type: \"object\",\n properties: {\n week: { type: \"number\", description: \"Training week number 1-22\" },\n },\n required: [\"week\"],\n },\n },\n {\n name: \"get_recent_runs\",\n description:\n \"Get the user's most recent logged runs/workouts (default 5). Use to spot trends, check feel scores, see what they've been doing.\",\n input_schema: {\n type: \"object\",\n properties: {\n limit: {\n type: \"number\",\n description: \"How many recent entries (default 5)\",\n },\n },\n },\n },\n {\n name: \"get_guide_info\",\n description:\n \"Read the Hood to Coast guide tab — contains pace targets, non-negotiables (e.g., rest if hurt 2+ days), strength routine, etc. Use when the user asks training questions.\",\n input_schema: { type: \"object\", properties: {} },\n },\n {\n name: \"log_run\",\n description:\n \"Write a new run/workout entry to the Bot Log sheet. ONLY call this AFTER the user has explicitly confirmed (said yes/confirm/log it). To propose a run for confirmation, just describe it in your reply and ASK the user to confirm — do not call this tool until they say yes.\",\n input_schema: {\n type: \"object\",\n properties: {\n miles: { type: \"number\" },\n time: { type: \"string\", description: \"Format h:mm:ss (e.g. 0:39:21)\" },\n feel: { type: \"number\", description: \"1-10 effort/quality rating\" },\n workout: {\n type: \"string\",\n description: \"Run, Strength, Pilates, Brick, etc\",\n },\n notes: { type: \"string\" },\n date: {\n type: \"string\",\n description: \"ISO date YYYY-MM-DD; defaults to today if omitted\",\n },\n },\n required: [\"workout\"],\n },\n },\n\n // ----- Todos -----\n {\n name: \"list_todos\",\n description:\n \"List the user's open todos. Optionally filter by category (inbox, school, career, personal).\",\n input_schema: {\n type: \"object\",\n properties: {\n category: {\n type: \"string\",\n enum: [\"inbox\", \"school\", \"career\", \"personal\", \"all\"],\n },\n },\n },\n },\n {\n name: \"add_todo\",\n description:\n \"Add a new todo. Defaults to inbox; user can specify category. Use for any actionable thing the user wants to remember to do.\",\n input_schema: {\n type: \"object\",\n properties: {\n task: { type: \"string\" },\n category: {\n type: \"string\",\n enum: [\"inbox\", \"school\", \"career\", \"personal\"],\n },\n },\n required: [\"task\"],\n },\n },\n {\n name: \"complete_todo\",\n description:\n \"Mark a todo as done. Pass the task description to fuzzy-match.\",\n input_schema: {\n type: \"object\",\n properties: {\n task_description: {\n type: \"string\",\n description:\n \"Description of the todo to complete; will be matched semantically\",\n },\n },\n required: [\"task_description\"],\n },\n },\n\n // ----- General -----\n {\n name: \"web_search\",\n description:\n \"Search the web for current information (weather, news, recent events, etc). Use when the user asks about anything time-sensitive or factual you need to verify.\",\n input_schema: {\n type: \"object\",\n properties: { query: { type: \"string\" } },\n required: [\"query\"],\n },\n },\n];\n\n// ============================================================\n// TOOL EXECUTORS\n// ============================================================\nasync function executeTool(name: string, input: any): Promise {\n switch (name) {\n case \"get_todays_plan\": {\n const today = new Date();\n const week = weekForDate(today);\n if (!week) {\n return \"Today is outside the training plan window (plan runs Mar 29 - Aug 29, 2026).\";\n }\n const rows = await readRange(`Plan!A${4 + week}:K${4 + week}`);\n if (!rows.length) return \"No plan row found.\";\n const row = rows[0];\n const dayIdx = today.getDay();\n const dayName =\n [\n \"Sunday\",\n \"Monday\",\n \"Tuesday\",\n \"Wednesday\",\n \"Thursday\",\n \"Friday\",\n \"Saturday\",\n ][dayIdx];\n const workout = row[3 + dayIdx] || \"Rest\";\n const phase = row[2] || \"\";\n const weekTotal = row[10] || \"0\";\n return JSON.stringify({\n date: today.toDateString(),\n week,\n day: dayName,\n phase,\n todays_workout: workout,\n week_planned_total_mi: weekTotal,\n });\n }\n\n case \"get_week_progress\": {\n const week = input.week;\n const rows = await readRange(`Bot Log!A5:I1000`);\n const logged = rows.filter((r: any[]) => parseInt(r[1]) === week);\n const totalMiles = logged.reduce(\n (s: number, r: any[]) => s + (parseFloat(r[3]) || 0),\n 0,\n );\n const planRow = await readRange(`Plan!A${4 + week}:K${4 + week}`);\n const planTotal = planRow.length ? parseFloat(planRow[0][10] || \"0\") : 0;\n return JSON.stringify({\n week,\n logged_count: logged.length,\n actual_miles: totalMiles.toFixed(1),\n planned_miles: planTotal,\n pct_complete: planTotal > 0\n ? Math.round((totalMiles / planTotal) * 100)\n : 0,\n sessions: logged.map((r: any[]) => ({\n date: r[0],\n workout: r[2],\n miles: r[3],\n time: r[4],\n pace: r[5],\n feel: r[6],\n notes: r[7],\n })),\n });\n }\n\n case \"get_recent_runs\": {\n const limit = input.limit || 5;\n const rows = await readRange(`Bot Log!A5:I1000`);\n const recent = rows.slice(-limit).reverse();\n return JSON.stringify(\n recent.map((r: any[]) => ({\n date: r[0],\n week: r[1],\n workout: r[2],\n miles: r[3],\n time: r[4],\n pace: r[5],\n feel: r[6],\n notes: r[7],\n })),\n );\n }\n\n case \"get_guide_info\": {\n const rows = await readRange(`Guide!A1:B100`);\n return rows.map((r: any[]) => `${r[0] || \"\"} ${r[1] || \"\"}`).filter((s) =>\n s.trim()\n ).join(\"\\n\");\n }\n\n case \"log_run\": {\n const date = input.date ? new Date(input.date) : new Date();\n const week = weekForDate(date) || 0;\n const dateStr = `${(date.getMonth() + 1).toString().padStart(2, \"0\")}/${\n date.getDate().toString().padStart(2, \"0\")\n }/${date.getFullYear()}`;\n const miles = input.miles || \"\";\n const time = input.time || \"\";\n let pace = \"\";\n if (miles && time) {\n pace = secondsToPace(timeToSeconds(time), miles);\n }\n const row = [\n dateStr,\n week,\n input.workout,\n miles,\n time,\n pace,\n input.feel || \"\",\n input.notes || \"\",\n \"bot\",\n ];\n await appendRun(row);\n return JSON.stringify({\n success: true,\n logged: { date: dateStr, week, ...input, pace },\n });\n }\n\n case \"list_todos\": {\n const cat = input.category;\n const todos = await sbFetch(\n \"todos?status=eq.open&order=sort_order.asc,created_at.asc\",\n );\n const filtered = !cat || cat === \"all\"\n ? todos\n : todos.filter((t: any) => (t.category || \"inbox\") === cat);\n return JSON.stringify(\n filtered.map((t: any) => ({\n id: t.id,\n task: t.task,\n category: t.category || \"inbox\",\n starred: t.starred,\n })),\n );\n }\n\n case \"add_todo\": {\n const result = await sbFetch(\"todos\", {\n method: \"POST\",\n body: JSON.stringify({\n task: input.task,\n category: input.category || \"inbox\",\n priority: 3,\n sort_order: Date.now(),\n }),\n });\n return JSON.stringify({ success: true, added: result?.[0] });\n }\n\n case \"complete_todo\": {\n const todos = await sbFetch(\"todos?status=eq.open\");\n const desc = input.task_description.toLowerCase();\n const match = todos.find((t: any) =>\n t.task.toLowerCase().includes(desc) ||\n desc.includes(t.task.toLowerCase())\n );\n if (!match) {\n return JSON.stringify({\n success: false,\n reason: \"no matching todo found\",\n });\n }\n await sbFetch(`todos?id=eq.${match.id}`, {\n method: \"PATCH\",\n body: JSON.stringify({\n status: \"done\",\n completed_at: new Date().toISOString(),\n }),\n });\n return JSON.stringify({ success: true, completed: match.task });\n }\n\n case \"web_search\": {\n // Use Claude with web_search tool for the actual search\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"x-api-key\": ANTHROPIC_KEY,\n \"anthropic-version\": \"2023-06-01\",\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"claude-haiku-4-5-20251001\",\n max_tokens: 800,\n messages: [{\n role: \"user\",\n content:\n `Search the web for: ${input.query}. Reply with a concise factual answer.`,\n }],\n tools: [{ type: \"web_search_20250305\", name: \"web_search\" }],\n }),\n });\n if (!res.ok) return `Search failed: ${res.status}`;\n const json = await res.json();\n return json.content.filter((b: any) => b.type === \"text\").map((b: any) =>\n b.text\n ).join(\"\\n\").trim();\n }\n\n default:\n return `Unknown tool: ${name}`;\n }\n}\n\n// ============================================================\n// AGENT LOOP\n// ============================================================\nconst SYSTEM_PROMPT =\n `You are Neesha's personal assistant via Telegram. She is a Kellogg MBA grad (June 2026), job searching for AI operator roles in SF, wedding in June, training for Hood to Coast on August 29, 2026. Today is ${\n new Date().toDateString()\n }.\n\nYou have access to tools to manage her todos, log runs to her Hood to Coast training plan, read her sheets, and search the web. Use them when relevant.\n\nGUIDELINES:\n- Be direct, warm, and concise. She reads on her phone. Plain text, no markdown headers, no bullet lists unless she asks. Max ~150 words for most replies.\n- For run logging: when she describes a run, parse the details (miles, time, feel, workout type, notes) and ASK HER TO CONFIRM by describing what you heard back. Only call log_run AFTER she explicitly says yes/confirm/log it. If you're unsure about a value, ask.\n- For coaching feedback after a run is logged: be specific about pace and feel. Use weekly context (call get_week_progress). If feel was low (1-3) be supportive; if high, validate. Reference the Guide if relevant (e.g., rest if hurts 2+ days).\n- For todos: just add them, don't ask for confirmation. Default category is inbox.\n- For web search: use it for weather, news, current events, anything you'd need to look up.\n- If the user is venting or chatting, just chat. Don't force tools.\n- If she's preparing for a job interview, be a smart sounding board. Don't be sycophantic.\n\nCONFIRMATION FLOW for runs:\n1. User describes a run\n2. You parse and reply: \"Got it — confirm: {summary}? Reply yes to log.\"\n3. If next message is yes/confirm/etc, NOW call log_run\n4. If next message is no/cancel, acknowledge and don't log\n5. After logging, give brief coach feedback`;\n\nasync function runAgent(\n chatId: number,\n userMessage: string,\n conversationHistory: any[] = [],\n): Promise {\n const messages = [...conversationHistory, {\n role: \"user\",\n content: userMessage,\n }];\n const maxIterations = 8;\n\n for (let i = 0; i < maxIterations; i++) {\n tgTyping(chatId);\n\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"x-api-key\": ANTHROPIC_KEY,\n \"anthropic-version\": \"2023-06-01\",\n \"Content-Type\": \"application/json\",\n },\n body: JSON.stringify({\n model: \"claude-haiku-4-5-20251001\",\n max_tokens: 1500,\n system: SYSTEM_PROMPT,\n tools: TOOLS,\n messages,\n }),\n });\n\n if (!res.ok) {\n const err = await res.text();\n throw new Error(`claude ${res.status}: ${err}`);\n }\n const data = await res.json();\n\n // Add assistant response to messages\n messages.push({ role: \"assistant\", content: data.content });\n\n // If Claude wants to use tools, execute them\n if (data.stop_reason === \"tool_use\") {\n const toolUseBlocks = data.content.filter((b: any) =>\n b.type === \"tool_use\"\n );\n const toolResults = [];\n\n for (const block of toolUseBlocks) {\n try {\n const result = await executeTool(block.name, block.input);\n toolResults.push({\n type: \"tool_result\",\n tool_use_id: block.id,\n content: result,\n });\n } catch (err: any) {\n toolResults.push({\n type: \"tool_result\",\n tool_use_id: block.id,\n content: `Error: ${err.message}`,\n is_error: true,\n });\n }\n }\n\n messages.push({ role: \"user\", content: toolResults });\n continue; // loop back, let Claude decide what's next\n }\n\n // Claude is done — extract final text\n const textBlocks = data.content.filter((b: any) => b.type === \"text\");\n return textBlocks.map((b: any) => b.text).join(\"\\n\").trim();\n }\n\n return \"I got stuck in a loop. Try rephrasing?\";\n}\n\n// ============================================================\n// MAIN HANDLER\n// ============================================================\n\n// Per-chat short-term memory (last few turns) — survives within a single Val instance lifetime\nconst conversations = new Map();\nfunction getHistory(chatId: number): any[] {\n return conversations.get(chatId) || [];\n}\nfunction appendHistory(chatId: number, userMsg: string, assistantMsg: string) {\n const hist = getHistory(chatId);\n hist.push({ role: \"user\", content: userMsg });\n hist.push({ role: \"assistant\", content: assistantMsg });\n // Keep last 6 turns (12 messages) to bound context\n while (hist.length > 12) hist.shift();\n conversations.set(chatId, hist);\n}\n\nexport default async function (req: Request): Promise {\n if (req.method !== \"POST\") return new Response(\"ok\");\n\n let update: any;\n try {\n update = await req.json();\n } catch {\n return new Response(\"ok\");\n }\n const msg = update.message;\n if (!msg) return new Response(\"ok\");\n if (String(msg.from.id) !== ALLOWED_USER) {\n await tgReply(msg.chat.id, \"not authorized\");\n return new Response(\"ok\");\n }\n\n // Voice → text\n let text = (msg.text || \"\").trim();\n if (msg.voice) {\n try {\n const audio = await downloadVoice(msg.voice.file_id);\n text = await transcribe(audio);\n if (!text) {\n await tgReply(msg.chat.id, \"couldn't hear that — try again?\");\n return new Response(\"ok\");\n }\n } catch (err: any) {\n await tgReply(msg.chat.id, `voice error: ${err.message}`);\n return new Response(\"ok\");\n }\n }\n if (!text) return new Response(\"ok\");\n\n if (text === \"/start\") {\n await tgReply(\n msg.chat.id,\n \"Hi. I'm your personal assistant. 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Diff · v8