Logprobs Reasoning Loop with Weights & Biases Weave, an observability tool Uncertainty-Aware Generation with OpenAI's Responses API This project demonstrates a novel approach to improving AI model reasoning by leveraging token-level uncertainty metrics (logprobs) to create self-correcting generation loops. We compare this uncertainty-aware approach against traditional reasoning models to test whether explicit uncertainty handling can match or exceed the performance of dedicated reasoning archite...