Qwwiwi Agentos Skills Telegram Bot Builder

Telegram Bot Builder

Build production-grade Telegram bots. This skill covers the full lifecycle: architecture selection, framework choice, database integration, deployment, monetization, and security.

Minimal Hello World

Python (aiogram 3.x):

import asyncio
from aiogram import Bot, Dispatcher, Router, F
from aiogram.types import Message

router = Router()

@router.message(F.text == "/start")
async def start(message: Message) -> None:
    await message.answer("Hello! I'm alive.")

async def main() -> None:
    bot = Bot(token="BOT_TOKEN")
    dp = Dispatcher()
    dp.include_router(router)
    await dp.start_polling(bot)

asyncio.run(main())

TypeScript (grammY):

import { Bot } from "grammy";

const bot = new Bot(process.env.BOT_TOKEN!);

bot.command("start", (ctx) => ctx.reply("Hello! I'm alive."));

bot.start();

Quick Start: Choose Your Stack

Decision Tree

Q1: Language?
├── Python  → Q2
└── TypeScript/JS → grammY (see references/typescript-grammy.md)

Q2: Complexity?
├── Simple script / notification bot → python-telegram-bot v21
└── Multi-user, async, FSM, production → aiogram 3.x

Q3: Database?
├── Prototype / single instance → SQLite + WAL
├── Production / multi-instance → PostgreSQL (asyncpg or Supabase)
├── Serverless → Supabase Edge Functions + PostgREST
└── Russia (152-FZ) → Yandex Cloud (Managed PG + Cloud Functions)

Q4: Hosting?
├── Full control → VPS + systemd/PM2
├── Containers → Docker + compose
├── Serverless → Cloudflare Workers / Supabase Edge / Yandex CF
└── PaaS → Railway / Fly.io / Render

Framework Comparison

Telegraf v4 is in maintenance mode (no v5 shipped). New projects should use grammY.

Architecture Patterns

1. Monolith (single process)

Best for: early stage, <1000 DAU, simple logic.

Bot process → handles updates → DB (SQLite/Postgres)

Stack: aiogram + MemoryStorage + PM2/systemd.

2. Queue-based (webhook → queue → worker)

Best for: AI bots (LLM response >5s), high volume.

Telegram → webhook endpoint (200 OK immediately)
         → SQS/RabbitMQ (MessageGroupId=user_id)
         → worker process → Telegram API

Prevents webhook timeouts. Per-user ordering without cross-user blocking.

3. Serverless (cloud function per webhook)

Best for: low traffic, pay-per-use, no ops.

Telegram → Cloud Function → response

Requires: fast cold start (<1s), external state (Redis/KV/DB). grammY has first-class serverless support: bot.handleUpdate(req.body).

4. Microservice (separate handlers)

Best for: >100k DAU, large teams, complex domains. Overkill for most bots. Consider queue-based first.

Webhook vs Polling

Webhook security (mandatory):

1. Secret token: setWebhook(secret_token=...) → validate X-Telegram-Bot-Api-Secret-Token header
2. IP whitelist (optional): 149.154.160.0/20, 91.108.4.0/22

References (load on demand)

Load only the reference needed for the current task:

Project Structure (aiogram 3.x)

bot/
├── bot.py              # Entry point, Dispatcher setup
├── config.py           # Settings from env (pydantic-settings)
├── handlers/
│   ├── __init__.py     # Router registration
│   ├── start.py        # /start, /help
│   ├── admin.py        # Admin commands
│   └── payments.py     # Payment handlers
├── middlewares/
│   ├── throttling.py   # Rate limiting
│   ├── auth.py         # Access control
│   └── i18n.py         # Internationalization
├── keyboards/
│   ├── inline.py       # InlineKeyboardMarkup builders
│   └── reply.py        # ReplyKeyboardMarkup builders
├── states/
│   └── forms.py        # StatesGroup definitions
├── services/
│   ├── db.py           # Database layer
│   └── ai.py           # AI/LLM integration
├── filters/
│   └── admin.py        # Custom filters
├── .env
├── Dockerfile
└── requirements.txt

Project Structure (grammY)

bot/
├── src/
│   ├── bot.ts          # Bot instance, middleware registration
│   ├── config.ts       # Environment config
│   ├── handlers/
│   │   ├── start.ts
│   │   ├── admin.ts
│   │   └── payments.ts
│   ├── conversations/
│   │   └── registration.ts
│   ├── middleware/
│   │   ├── auth.ts
│   │   └── session.ts
│   ├── keyboards/
│   │   └── menus.ts
│   └── services/
│       ├── db.ts
│       └── ai.ts
├── .env
├── Dockerfile
├── package.json
└── tsconfig.json

Validation Checklist

Before shipping, verify:

• Bot token in env var, never hardcoded
• bot.catch() or @dp.errors() global error handler
• Webhook: secret token validation enabled
• Rate limiting per user (Redis counter or middleware)
• Input length validation (len(text) > MAX → reject)
• HTML escape user input before parse_mode="HTML"
• FSM storage: NOT MemoryStorage in production
• Graceful shutdown: SIGINT/SIGTERM handlers
• Typing indicator (sendChatAction("typing")) before slow ops
• Message length: split at 4096 chars

Source: qwwiwi/agentos-skills — distributed by TomeVault.