I am currently working on integrating real-time text processing features and looking into ways to manage rate limits efficiently while keeping response latency as low as possible.
Are there specific architectural patterns, caching mechanisms, or fallback strategies you recommend when building production apps with Gemini APIs under high-volume constraints? (I’ve also been structuring some asset caching and handling flows for real-time utilities over at cloudstream.pk).
Would love to hear your thoughts, best practices, or any documentation pointers you usually follow. Thanks!