Portkey has enhanced its observability features for managing LLM (Large Language Model) API requests by introducing revamped dashboards that provide comprehensive visibility across various metrics, including Requests, Users, Errors, Cache, and Feedback. These dashboards enable users to analyze the cost, latency, accuracy, and user behavior of their requests, offering insights into metrics such as error rates, cache efficiency, and user feedback. The platform supports 21 specific metrics and allows filtering based on criteria such as date, model type, cost, tokens, status codes, and custom metadata, making it easier for users to tailor their analysis. This capability is particularly beneficial for those working with APIs like OpenAI, who face challenges in measuring and optimizing the performance of their requests.