Company
Date Published
Author
Thomas Sobolik, Barry Eom, Shri Subramanian, Siddharth Dwivedi
Word count
1095
Language
English
Hacker News points
None

Summary

Datadog LLM Observability is a powerful tool that helps AI engineers and software developers develop accurate, cost-efficient, secure, and highly performant Large Language Models (LLMs) at scale by providing end-to-end tracing, operational performance monitoring, out-of-the-box quality checks, and security exposure tracking. It enables users to troubleshoot issues quickly, monitor application performance, evaluate response quality, and detect security threats such as prompt injections. With its features, LLM Observability provides a consolidated view of an LLM application's health, performance, and security from a single interface, helping teams form actionable insights and improve their applications.