Show HN: Kelet – Root Cause Analysis agent for your LLM apps (kelet.ai)

Kelet, a new root cause analysis agent for large language model (LLM) applications, has been introduced to streamline the debugging process for developers. By automatically tracking interactions and signals within AI agents, Kelet identifies production failures and provides evidence-backed solutions, allowing developers to fix issues without extensive guesswork. This tool aims to reduce the inefficiencies that come with traditional debugging methods, which often consume significant engineering time. The significance of Kelet lies in its ability to enhance reliability in AI applications, especially as the complexity of LLMs increases. With a straightforward integration process that takes mere minutes and requires no credit card, developers can quickly connect their agents to Kelet's service. The solution not only surfaces root causes by analyzing failure patterns but also generates targeted prompt patches that can be tested against real sessions. Built with scalability in mind, Kelet is designed to support high-volume production workflows, making it a vital asset for teams looking to optimize their LLM applications and improve overall system performance.