topicseed

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.

No but most models have their own libs you can use

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.

But overall it's a bit easier yes.

Just played with it and it's great! A good 2.0 release I think.

Is it on AI studio already?

A great option for Go projects where you aren't exploring your queries as changing and regenerating is cumbersome.

Also, SQLC doesn't allow for dynamic query building so think about an input search struct from which you may add where clauses — or not.

Also doesn't support multiple inserts with N rows being inserted.

Otherwise for standard queries, it's great.

Evaluate them how? Specifically the voice/audio or you're happy to evaluate them with the transcript with something like Modelmetry?

Do they build guardrails themselves or do they use an llm guardrail api like Modelmetry or Langwatch?

1k rps per bucket though ...

An improved and more interactive version of Google Sheets' explore tab. Looks good!

The "YC" part.

what exercises do you recommend for these auxiliary muscles?

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?