--- title: antispam.bot emoji: πŸ›‘οΈ colorFrom: blue colorTo: indigo sdk: docker app_port: 8080 pinned: false license: mit tags: - telegram - anti-spam - ilang - chatbot ---
# πŸ›‘οΈ antispam.bot **The AI guardian that keeps your Telegram groups clean β€” and actually answers your questions.** Open source (MIT), zero config, self-hostable β€” the **TelegramGuard** project. [![MIT License](https://img.shields.io/badge/license-MIT-blue.svg)](LICENSE) [![Powered by I-Lang](https://img.shields.io/badge/powered%20by-I--Lang%20Spec-blueviolet)](https://ilang.ai) [![AI: OpenAI-compatible](https://img.shields.io/badge/AI-OpenAI--compatible-06D6A0)](#self-host) 🌐 [English](README.md) Β· [δΈ­ζ–‡](README_CN.md) Β· [Русский](README_RU.md) Β· [EspaΓ±ol](README_ES.md) Β· [Ψ§Ω„ΨΉΨ±Ψ¨ΩŠΨ©](README_AR.md) Β· [فارسی](README_FA.md)
--- ## Add it to your group (zero setup) Add the official bot β€” no install, no config, no cost. ### β†’ [@iLangGuardBot](https://t.me/iLangGuardBot) 1. Search `@iLangGuardBot` on Telegram 2. Add it to your group 3. Give it admin β€” **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** β€” 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. **πŸ‘οΈ Vision** β€” 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. **πŸ’¬ Chat** β€” @ it in any group or DM it privately. Multilingual, auto-detects your language. Ask it anything and get a clear, useful answer β€” factual on sensitive topics, with sensible boundaries on genuinely harmful ones. --- ## Self-Host Bring any **OpenAI-compatible** AI provider β€” [SiliconFlow](https://cloud.siliconflow.cn) (default), OpenAI, DeepSeek, or a local model. You need two things: - **Bot Token** β€” [@BotFather](https://t.me/BotFather) β†’ `/newbot` - **AI API Key** β€” from your provider (default targets SiliconFlow) ### Option 1 β€” 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 β€” HuggingFace Space (free, no server) 1. Fork this repo 2. Create a [HuggingFace Space](https://huggingface.co/new-space) β†’ Docker SDK β†’ Blank 3. GitHub repo β†’ Settings β†’ Secrets β†’ add `HF_TOKEN` (your HF write token) 4. HF Space β†’ Settings β†’ Secrets β†’ add `BOT_TOKEN` + `AI_API_KEY` 5. HF Space β†’ Settings β†’ enable **persistent storage** so `/data` (the SQLite DB) is writable β€” or add a `DB_PATH` secret pointing somewhere writable 6. Push to GitHub β€” it auto-deploys to the Space ### Option 3 β€” 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 β†’ Enable` and `/setprivacy β†’ Disable` (so it can see group messages). ### Configuration Everything is set via environment variables β€” 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 β€” [I-Lang Prompt Spec](https://ilang.ai), where each `::GENE` defines a behavior. ``` prompts_demo/ β”œβ”€β”€ persona.ilang how it thinks + how it talks β”œβ”€β”€ antispam.ilang what counts as spam └── vision.ilang how it reads images ``` ``` ::GENE_IMMUTABLE{S002, T:RUTHLESS_RED_TEAM, A:FLATTERβ‡’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 β†’ 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 β†’](https://ilang.ai)** --- ## Architecture ``` TelegramGuard/ β”œβ”€β”€ bot.py Entry β€” handlers (group Β· private Β· events) β”œβ”€β”€ config.py Env config β”œβ”€β”€ install.sh One-command VPS installer β”œβ”€β”€ Dockerfile Container build β”œβ”€β”€ modules/ β”‚ β”œβ”€β”€ ai_provider.py OpenAI-compatible AI layer (text Β· vision Β· audio) β”‚ β”œβ”€β”€ chat.py Prompt orchestration (loads .ilang) β”‚ β”œβ”€β”€ prefilter.py Zero-cost spam pre-filter + triage β”‚ β”œβ”€β”€ lexicon.py Slang / evasion normalization + scoring β”‚ β”œβ”€β”€ probe.py Check-in filler detection (mark-only, never bans) β”‚ β”œβ”€β”€ ilang_judge.py I-Lang decision function β”‚ β”œβ”€β”€ admin.py Group admin β”‚ β”œβ”€β”€ db.py Shared SQLite + async lock β”‚ └── database.py Schema └── prompts_demo/ AI personality (.ilang files) ``` ---
Built with **[I-Lang Prompt Spec](https://ilang.ai)** β€” structured AI instructions as genetic code. [![Spec](https://img.shields.io/badge/spec-ilang--ai/ilang--spec-black?logo=github)](https://github.com/ilang-ai/ilang-spec) [![Web](https://img.shields.io/badge/web-ilang.ai-blue)](https://ilang.ai) [![HF](https://img.shields.io/badge/HF-i--Lang-yellow?logo=huggingface)](https://huggingface.co/i-Lang) MIT Β· Β© [iLang Inc.](https://eastsoft.com) Β· [antispam.bot](https://antispam.bot) Β· [ilang.ai](https://ilang.ai)