Observability Augmentation for LLMs (OALM)
8.2
A software solution that integrates with existing observability stacks (metrics, logs, traces) to provide enhanced visibility and debugging capabilities specifically for applications utilizing Large Language Models (LLMs), addressing the challenges highlighted by recent observability blind spots.
220h
mvp estimate
8.2
viability grade
4
views
technology stack
Python
NodeJS
PostgreSQL
Medium
inspired by
LLMs create new blind spots in observability.