Utilizing ChatGPT for backend services in distributed systems introduces a myriad of challenges. Key among these are significant latency overheads from external API calls, which can drastically impede the performance and responsiveness required in distributed environments. Furthermore, considerations around API cost at scale and the reliability and availability of a third-party service become critical, as outages or rate limits can cripple an entire system. Data privacy and security concerns are also paramount, given the need to send potentially sensitive backend data to an external AI. Finally, integrating a non-deterministic model like ChatGPT complicates the design of systems requiring predictable and consistent outputs, making robust error handling and complex state management essential for stable operation. More details: https://www.finet.hk/LangSwitch/?lang=zhCN&url=https://abcname.com.ua