DNikulshin/ai-automation-starter
🛠️ Готовый шаблон для автоматизации бизнес-процессов с использованием LLM (OpenRouter/Claude). Забирает сырые данные → структурирует через AI → сохраняет в Obsidian/Markdown → уведомляет в Telegram. Упакован в Docker, покрыт тестами
SUMMARY AI summary by gpt-5-mini
AI Automation Starter is a lightweight pipeline for automating business-document processing with LLMs (OpenRouter/Claude). It ingests raw text (local .txt, extendable to email/other APIs), uses an LLM to extract structured fields into validated JSON, exports Obsidian/Markdown files with YAML frontmatter and checklists, and sends Telegram notifications on pipeline events. It targets both non-technical users (USER_GUIDE provided) and engineers who will adapt sources, prompts, or exporters. Key features: - file/email ingestion and idempotent processing - LLM-based JSON extraction with retry/timeout controls - Obsidian-ready Markdown export - Telegram notifier - Docker-ready deploy and cron-friendly scheduling - Pydantic config, pytest test suite, modular code (ingestion → processor → exporter → notifier) Run locally (python -m src) or via docker-compose; configure via .env (OPENROUTER_API_KEY, optional Telegram tokens).
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Fullstack-разработчик. </> 🌐💡🧑💻🚀 От концепции до кода: React, TypeScript, Node.js, Docker, базы данных, API.
Dates
| Created on GitHub | 2026-05-11 |
| Last push | 2026-05-11 |
| First seen here | 2026-05-11 |
| Last fetched | 2026-05-13 16:12 |
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