| --- |
| title: antispam.bot |
| emoji: 🛡️ |
| colorFrom: blue |
| colorTo: indigo |
| sdk: docker |
| app_port: 8080 |
| pinned: false |
| license: mit |
| tags: |
| - telegram |
| - anti-spam |
| - ilang |
| - chatbot |
| --- |
| |
| <div align="center"> |
|
|
| # 🛡️ antispam.bot |
|
|
| **The AI guardian that keeps your Telegram groups clean — and actually answers your questions.** |
|
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| Open source (MIT), zero config, self-hostable — the **TelegramGuard** project. |
|
|
| [](LICENSE) |
| [](https://ilang.ai) |
| [](#self-host) |
|
|
| 🌐 [English](README.md) · [中文](README_CN.md) · [Русский](README_RU.md) · [Español](README_ES.md) · [العربية](README_AR.md) · [فارسی](README_FA.md) |
|
|
| </div> |
|
|
| --- |
|
|
| ## Add it to your group (zero setup) |
|
|
| Add the official bot — no install, no config, no cost. |
|
|
| ### → [@iLangGuardBot](https://t.me/iLangGuardBot) |
|
|
| 1. Search `@iLangGuardBot` on Telegram |
| 2. Add it to your group |
| 3. Give it admin — **delete messages** + **ban users** |
| 4. Done. Spam is cleaned automatically; @ it anytime with a question. |
|
|
| You can also DM it directly for AI chat. |
|
|
| --- |
|
|
| ## What it does |
|
|
| **🚫 Anti-Spam** — Catches ads, scams, crypto & gambling spam. Sees through Unicode lookalikes, full-width and zero-width tricks, emoji stuffing and slang. A zero-cost pre-filter kills the obvious stuff before it ever reaches the AI, and repeat-flooding is caught with no AI call at all. |
|
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| **👁️ Vision** — Reads images and video thumbnails to catch image-based ads and QR-code scams. In chat, it reads the story behind a photo, not just the pixels. |
|
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| **💬 Chat** — @ it in any group or DM it privately. Multilingual, auto-detects your language. Ask it anything and get a clear, useful answer — factual on sensitive topics, with sensible boundaries on genuinely harmful ones. |
|
|
| --- |
|
|
| ## Self-Host |
|
|
| Bring any **OpenAI-compatible** AI provider — [SiliconFlow](https://cloud.siliconflow.cn) (default), OpenAI, DeepSeek, or a local model. You need two things: |
|
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| - **Bot Token** — [@BotFather](https://t.me/BotFather) → `/newbot` |
| - **AI API Key** — from your provider (default targets SiliconFlow) |
|
|
| ### Option 1 — VPS (one command) |
|
|
| ```bash |
| curl -sL https://raw.githubusercontent.com/ilang-ai/TelegramGuard/main/install.sh | sudo bash |
| ``` |
|
|
| Clones, installs dependencies, prompts for your two keys, and runs as a systemd service. Manage it with: |
|
|
| ```bash |
| systemctl status telegramguard # status |
| systemctl restart telegramguard # restart |
| journalctl -u telegramguard -f # live logs |
| ``` |
|
|
| ### Option 2 — HuggingFace Space (free, no server) |
|
|
| 1. Fork this repo |
| 2. Create a [HuggingFace Space](https://huggingface.co/new-space) → Docker SDK → Blank |
| 3. GitHub repo → Settings → Secrets → add `HF_TOKEN` (your HF write token) |
| 4. HF Space → Settings → Secrets → add `BOT_TOKEN` + `AI_API_KEY` |
| 5. HF Space → Settings → enable **persistent storage** so `/data` (the SQLite DB) is writable — or add a `DB_PATH` secret pointing somewhere writable |
| 6. Push to GitHub — it auto-deploys to the Space |
|
|
| ### Option 3 — Manual |
|
|
| ```bash |
| git clone https://github.com/ilang-ai/TelegramGuard.git |
| cd TelegramGuard |
| pip install -r requirements.txt |
| cp .env.example .env # fill in BOT_TOKEN + AI_API_KEY |
| set -a; source .env; set +a # load .env into the environment |
| python bot.py |
| ``` |
|
|
| After creating your bot, send to [@BotFather](https://t.me/BotFather): `/setjoingroups → Enable` and `/setprivacy → Disable` (so it can see group messages). |
|
|
| ### Configuration |
|
|
| Everything is set via environment variables — see [`.env.example`](.env.example): |
|
|
| | Variable | Default | Purpose | |
| |----------|---------|---------| |
| | `BOT_TOKEN` | *(required)* | Telegram bot token | |
| | `AI_API_KEY` | *(required)* | OpenAI-compatible API key | |
| | `AI_BASE_URL` | `https://api.siliconflow.cn/v1` | Provider endpoint | |
| | `AI_MODEL` | `deepseek-ai/DeepSeek-V4-Flash` | Text model | |
| | `AI_VISION_MODELS` | `Qwen/Qwen3-VL-30B…` | Vision fallback chain (comma-separated) | |
| | `AI_AUDIO_MODEL` | `Qwen/Qwen3-Omni-30B-A3B-Instruct` | Voice-message model | |
| | `AI_IMAGE_MAX_WIDTH` | `600` | Downscale width before vision calls | |
| | `AI_FALLBACK_API_KEY` | *(empty)* | Optional second provider; set to enable a cross-vendor fallback | |
| | `AI_FALLBACK_BASE_URL` | *(empty)* | Endpoint of that backup provider | |
| | `AI_FALLBACK_MODEL` | *(empty)* | Text/judge model there | |
| | `LEXICON_HARD_THRESHOLD` | `6` | Slang pre-filter strictness (higher = stricter) | |
| | `PROBE_FLAG_DELETE` | `2` | Check-in filler flags before it starts deleting (never bans) | |
| | `PROBE_WINDOW_HOURS` | `24` | Rolling window for those flags | |
| | `JUDGE_TEXT_LIMIT` | `1800` | Chars of a long message the judge sees (head + tail) | |
| | `JUDGE_CAPTION_LIMIT` | `900` | Same, for image captions | |
| | `GROUP_CMD_COOLDOWN` | `60` | Cooldown (s) on public group commands for non-admins | |
|
|
| --- |
|
|
| ## Customize the AI |
|
|
| The bot's brain lives in plain `.ilang` files — [I-Lang Prompt Spec](https://ilang.ai), where each `::GENE` defines a behavior. |
|
|
| ``` |
| prompts_demo/ |
| ├── persona.ilang how it thinks + how it talks |
| ├── antispam.ilang what counts as spam |
| └── vision.ilang how it reads images |
| ``` |
|
|
| ``` |
| ::GENE_IMMUTABLE{S002, T:RUTHLESS_RED_TEAM, A:FLATTER⇒FAIL, G:ALL, Θ:ALWAYS} |
| # Show it a plan and it hunts the fatal flaw instead of praising. |
| |
| ::GENE_MUTABLE{P002, T:CONCISE, G:ALL, Θ:ALWAYS} |
| # 2-3 sentences. Answer first, detail after, zero filler. |
| |
| ::IMMUNE{SPAM, DETECT_THEN_NUKE} |
| # Ads / scams / flooding → delete + strike, see through evasion. |
| ``` |
|
|
| Change the genes, change the bot. To customize: copy `prompts_demo/` to `prompts/` (loaded first) and edit. |
|
|
| **[Learn I-Lang Prompt Spec →](https://ilang.ai)** |
|
|
| --- |
|
|
| ## Architecture |
|
|
| ``` |
| TelegramGuard/ |
| ├── bot.py Entry — handlers (group · private · events) |
| ├── config.py Env config |
| ├── install.sh One-command VPS installer |
| ├── Dockerfile Container build |
| ├── modules/ |
| │ ├── ai_provider.py OpenAI-compatible AI layer (text · vision · audio) |
| │ ├── chat.py Prompt orchestration (loads .ilang) |
| │ ├── prefilter.py Zero-cost spam pre-filter + triage |
| │ ├── lexicon.py Slang / evasion normalization + scoring |
| │ ├── probe.py Check-in filler detection (mark-only, never bans) |
| │ ├── ilang_judge.py I-Lang decision function |
| │ ├── admin.py Group admin |
| │ ├── db.py Shared SQLite + async lock |
| │ └── database.py Schema |
| └── prompts_demo/ AI personality (.ilang files) |
| ``` |
|
|
| --- |
|
|
| <div align="center"> |
|
|
| Built with **[I-Lang Prompt Spec](https://ilang.ai)** — structured AI instructions as genetic code. |
|
|
| [](https://github.com/ilang-ai/ilang-spec) |
| [](https://ilang.ai) |
| [](https://huggingface.co/i-Lang) |
|
|
| MIT · © [iLang Inc.](https://eastsoft.com) · [antispam.bot](https://antispam.bot) · [ilang.ai](https://ilang.ai) |
|
|
| </div> |
|
|
