LangSmith aims to simplify the process of taking an LLM application from prototype to production by addressing performance and reliability concerns. Techniques such as data annotation, few-shot prompting, and finetuning are essential for improving model performance but require specific datapoints, which can be a challenge. To aid in this process, Langsmith is releasing a new feature called Data Annotation Queue, designed to make it easy to review logs, provide feedback, and create datasets from those logs. This feature aims to improve data exploration and dataset curation, making it easier for teams to bring LLM applications to production with minimal datapoints. The release also highlights langfree, an open-source package by Hamel Husain, providing an alternative for customizable tooling in this area.