Add TeleWatchdog Cloudflare Worker
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README.md
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# TeleWatchdog
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TeleWatchdog is a `Cloudflare Workers` Telegram join-request watchdog for private groups.
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It reviews join requests with a simple pipeline:
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1. Check whether the applicant has an avatar.
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2. Check whether the applicant has a bio.
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3. If either is missing, require verification.
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4. If both exist, ask an AI model for a binary decision.
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5. If the AI returns `approve`, accept the join request immediately.
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6. Otherwise, send a verification message with a Telegram Web App button.
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Users who need verification can choose either:
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- `Cloudflare Turnstile`
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- `Telegram WebApp BiometricManager`
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If verification is not completed within 10 minutes, a scheduled task declines the request and cleans up the stored state.
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## Features
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- Telegram `chat_join_request` webhook support
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- Cloudflare Worker deployment model
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- Telegram Web App verification page
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- Turnstile verification
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- Telegram biometric verification via `BiometricManager`
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- AI-based binary profile review
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- Automatic cleanup of expired verification records
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- Automatic deletion of verification messages after success or timeout
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## Stack
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- `Cloudflare Workers`
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- `Cloudflare KV`
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- `Telegram Bot API`
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- `Cloudflare Turnstile`
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- OpenAI-compatible chat completion API
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## Project Structure
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```text
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src/index.ts Main Worker implementation
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package.json Project metadata and scripts
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tsconfig.json TypeScript config
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wrangler.toml.example Example Wrangler config
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```
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## Required Secrets
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Set these with `wrangler secret put`:
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- `BOT_TOKEN`
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- `TG_WEBHOOK_SECRET`
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- `AI_BASE_URL`
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- `AI_API_KEY`
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- `TURNSTILE_SECRET`
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## Required Variables
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Set these in `wrangler.toml`:
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- `AI_MODEL`
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- `TURNSTILE_SITE_KEY`
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- `VERIFICATION_ORIGIN`
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## KV Setup
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Create a KV namespace:
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```bash
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npx wrangler kv namespace create PENDING_JOINS
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```
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Copy the returned namespace id into your `wrangler.toml`.
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## Local Setup
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```bash
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npm install
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copy wrangler.toml.example wrangler.toml
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```
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Then edit `wrangler.toml` and add your real values.
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## Deploy
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```bash
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npx wrangler deploy
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```
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## Telegram Webhook
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After deployment, configure the webhook to point to:
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```text
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https://your-worker-domain/telegram/webhook
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```
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Example PowerShell:
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```powershell
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$botToken = "YOUR_BOT_TOKEN"
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$secret = "YOUR_TG_WEBHOOK_SECRET"
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$body = @{
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url = "https://your-worker-domain/telegram/webhook"
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secret_token = $secret
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allowed_updates = @("chat_join_request")
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} | ConvertTo-Json -Compress
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Invoke-RestMethod -Method Post -Uri "https://api.telegram.org/bot$botToken/setWebhook" -ContentType "application/json" -Body $body
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```
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## Telegram Permissions
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The bot must:
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- be added to the target group
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- be an administrator
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- have permission to approve join requests
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The group must be configured to require approval for join requests.
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## Verification Flow
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### Auto-approve path
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- user has avatar
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- user has bio
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- AI returns `approve`
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- request is approved immediately
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- no message is sent to the user
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### Verification path
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- avatar missing, or
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- bio missing, or
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- AI returns `challenge`, or
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- AI request fails
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Then:
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- a single verification message is sent
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- user opens the Telegram Web App
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- user completes Turnstile or biometric verification
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- the bot approves the request
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- the verification message is deleted
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- KV records are deleted
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### Timeout path
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- request stays pending for 10 minutes
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- scheduled Worker declines the join request
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- verification message is deleted
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- KV records are deleted
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## Notes
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- Telegram biometric verification here uses `Telegram.WebApp.BiometricManager`, not WebAuthn.
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- Telegram Web App `initData` is verified server-side before accepting either verification method.
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- Public repository users should create their own Worker domain, Turnstile site, KV namespace, and AI credentials.
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## License
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Add your preferred license before publishing if needed.
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