{"id":48834085,"url":"https://github.com/edwards359/telegram-bot-assistant_ed","last_synced_at":"2026-04-14T22:05:05.769Z","repository":{"id":333376716,"uuid":"1083791240","full_name":"Edwards359/telegram-bot-assistant_ed","owner":"Edwards359","description":"Telegram‑бот‑ассистент: быстрые сценарии общения с LLM 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unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-04-14T22:04:27.865Z","updated_at":"2026-04-14T22:05:05.685Z","avatar_url":"https://github.com/Edwards359.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"## 🇷🇺 Обзор (Telegram Bot Assistant)\n\n**Telegram Bot Assistant** — AI‑ассистент в Telegram с поддержкой нескольких LLM‑провайдеров.\n\n- **Задача:** дать пользователям простой интерфейс “написал сообщение → получил умный ответ/действие”.\n- **Решение:** бот принимает сообщения, маршрутизирует их в выбранный LLM‑бэкенд и возвращает ответ, который можно адаптировать под сценарий.\n- **Пример использования:** ассистент поддержки, внутренний помощник для команды или интерфейс к RAG‑системе.\n\n---\n# Telegram Bot Assistant — LLM Powered AI Assistant\n\nProduction-ready Telegram AI assistant with support for multiple LLM providers (OpenAI, LangChain, GigaChat).\nDesigned for experimentation, prompt engineering, and scalable AI chatbot development.\n\n---\n\n## Overview\n\nTelegram Bot Assistant provides a unified interface for interacting with Large Language Models through Telegram.\n\nThe project supports multiple LLM backends and provides a modular architecture for:\n\n* AI assistant development\n* prompt engineering experiments\n* model comparison\n* LLM integration research\n* conversational AI systems\n\n---\n\n## Key Features\n\n* Telegram-based AI assistant\n* multiple LLM providers support\n* modular architecture\n* extensible prompt system\n* backend abstraction layer\n* research-friendly design\n* production deployment ready structure\n\n---\n\n## Architecture\n\n```\nUser → Telegram API → Bot Handler → LLM Interface → Provider → Response\n```\n\nSystem components:\n\n* Telegram bot interface\n* LLM provider abstraction\n* prompt management\n* response processing\n* configuration management\n\nMore details → `/docs/architecture.md`\n\n---\n\n## Supported Providers\n\n* OpenAI\n* LangChain integrations\n* GigaChat\n\n---\n\n## Quick Start\n\n### Install dependencies\n\n```\npip install -r requirements.txt\n```\n\n### Configure environment\n\nCreate `.env`:\n\n```\nTELEGRAM_TOKEN=\nOPENAI_API_KEY=\nGIGACHAT_API_KEY=\n```\n\n### Run\n\n```\npython main_open_ai.py\n```\n\n---\n\n## Documentation\n\nFull documentation available in `/docs`:\n\n* architecture → system design\n* setup → installation guide\n* prompt-design → prompt engineering\n* deployment → production deployment\n* evaluation → metrics and testing\n* roadmap → future development\n\n---\n\n## Project Structure\n\n```\ndocs/        → documentation\nsrc/         → source code\ntests/       → tests\nscripts/     → automation\ndata/        → storage\n```\n\n---\n\n## Evaluation \u0026 Metrics\n\n* response latency\n* model quality\n* hallucination rate\n* user engagement\n* API reliability\n\nSee `/docs/evaluation.md`.\n\n---\n\n## Development\n\n```\ngit clone repo\npip install -r requirements.txt\n```\n\nSee `/docs/setup.md`.\n\n---\n\n## Contributing\n\nSee `CONTRIBUTING.md`.\n\n---\n\n## License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fedwards359%2Ftelegram-bot-assistant_ed","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fedwards359%2Ftelegram-bot-assistant_ed","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fedwards359%2Ftelegram-bot-assistant_ed/lists"}