During September 2025, Kangjing Huang enhanced the Mintplex-Labs/anything-llm repository by developing a feature to improve the reliability of the Generic OpenAI embedding engine under high request volumes. Huang implemented a configurable API request delay, allowing users to set the delay in milliseconds via an environment variable, and refactored the embedding workflow to process requests sequentially. This backend development work, using Node.js and JavaScript, addressed rate-limiting issues by reducing failures and ensuring predictable latency. The solution demonstrated a focused approach to API integration, delivering a targeted improvement that increased throughput and stability for embedding jobs without introducing unnecessary complexity.