Hi HN, I'm Aibek, a sysadmin from Kazakhstan.

I built LogSentinel because I needed to analyze Nginx/Syslogs logs with AI, but strict data policies prevented me from sending raw logs to OpenAI/Claude.

How it works:

    It tails log files in real-time.

    Masks PII (IPs, emails, credit cards) using Regex before inference.

    Sends the sanitized context to a local LLM (Ollama running Llama 3) to find anomalies.

    Stores patterns in SQLite to avoid re-analyzing known errors (caching).

It's an MVP, written in Python. I'd love to hear your feedback on the architecture or how you handle local log analysis securely.