Search Results: VictoriaMetrics

As AI agents evolve from single LLM calls into sprawling, tool-using, multi-step systems, traditional logging is no longer enough. A new observability blueprint built on OpenTelemetry and VictoriaMetrics shows how to treat AI-native workloads like real production software: measurable, debuggable, and accountable.

A skeptical developer documents their journey using a local LLM to categorize daily tasks from an Obsidian-based TODO list, revealing stark limitations in AI reliability despite rigorous prompting. The hybrid solution—combining substring matching with fallback AI—offers pragmatic insights into automating personal productivity metrics while prioritizing data privacy.