I'd say out of many generative AI observability platforms, Langsmith and Weave (Weights&Biases) are probably the ones most enterprises use, but there's definitely space for Langfuse, Modelmetry, Arize AI, and other players.
I kind of agree but the same problem exists. If you add text-xl to a div and have nested divs and spans, they'll all be inheriting text-xl so for these nested elements, you also have to look up the element's lineage to find what's causing the text-xl.
Quick question, what do you use such an observability platform for? Can't be the price as you get it straight from Openai's dev dashboard. So what else do you use Languse for?
Probably like what happened with Google Inbox... It's a greenfield canvas to try a lot of innovations, see which ones people use, then shut down the product and add these popular features to Gmail, or in this instance, Slides.
What specific strategies does Hatchet employ to guarantee fault tolerance and enable durable execution? How does it handle partial failures in multi-step workflows?