These utilities bridge the gap between model output and actionable data by standardizing how complex computations report their internal logic. These implementations focus on tracing, evaluating, and monitoring computational flows to ensure reliability across distributed systems. When selecting an option, prioritize compatibility with your existing tech stack and the specific depth of diagnostic visibility required for your production architecture.

Run open AI models through one inference API

Cheaper inference. One URL. No code changes.

A global hackathon for the open AI future