Stop bleeding money on LLMs: Introducing Otellix...

Working with Large Language Models (LLMs) in production is magic. The honeymoon phase usually lasts about a month—right until you get the inevitable API bill. If you’ve ever accidentally put an LLM generation call inside a deeply nested background loop (don't lie, we've all done it), or if you just want to prevent one heavy user from eating your organization's daily budget, then you probably know the pain. Current LLM observability platforms are either heavy SaaS products with their own per-even