About This Skill

Stop babysitting your Ollama server. Get a Telegram alert the moment a model crashes, the GPU runs out of memory, or the API stops responding. Built for homelabbers and self-hosters running Ollama 24/7 who don't want to pay for SaaS monitoring or refresh dashboards manually. Features: - DOWN alerts (🔴): instant notification when the API is unreachable, hung, or returning errors - DEGRADED alerts (⚠️): CUDA OOM, runner crashes, log errors, GPU memory above 95% - RECOVERED alerts (✅): service is back, includes latency and currently loaded models - Smart alerting: fires only on state transitions, no spam - Built-in fix hints: every alert includes a suggested remediation - NVIDIA GPU monitoring via nvidia-smi (gracefully skipped on AMD/Intel/CPU-only setups) - Cross-platform: Linux, macOS, Windows (auto-detects log paths) - Single-file Python script: no Docker, no Node.js, no SaaS subscription - MIT licensed Install: pip install -r requirements.txt python3 ollamawatch.py check # one-shot health check python3 ollamawatch.py watch # continuous monitoring Requires: Python 3.8+, Ollama (local or remote), free Telegram bot (5-min setup). Use cases: - Monitor a remote Ollama box you cannot see (headless homelab, VPS) - Get woken up if an overnight batch job hangs the GPU - Catch memory leaks before they take down your inference stack - Detect when a model pull has stalled mid-download - Replace expensive SaaS monitoring ($0/month vs $30+/month)