Content Deep Dive
Analytics for LLM Apps: The Metrics Developers Need to Track with the ChatGPT API
Blog post from Propel Data
Post Details
Company
Date Published
Author
Nico Acosta
Word Count
910
Language
English
Hacker News Points
-
Summary
As an LLM app developer, tracking key metrics such as token usage, latency, user feedback, conversation length, and "finished reason" is crucial to optimizing user experience, latency, and token costs for ChatGPT-powered apps. Powerful analytics tools like Propel enable developers to fine-tune requests, gain valuable insights from these metrics, and make informed decisions without the burden of infrastructure management. By leveraging Propel's GraphQL API, UI component library, and dimensions such as app metadata, developers can deliver high-performance customer-facing analytics and improve user experience, latency, and token costs for their apps.