When integrating a third-party Web API that has rate limits, how would you optimize the API calls in a Flutter application?
- Allowing users to manually configure the rate limit for personalized experience
- Caching API responses locally to minimize redundant requests
- Implementing request throttling to comply with rate limits
- Utilizing a retry mechanism with exponential backoff
To optimize API calls in a Flutter application with rate-limited third-party APIs, implementing a retry mechanism with exponential backoff is essential. Exponential backoff gradually increases the time between consecutive API retry attempts, preventing overwhelming the server and complying with rate limits. This approach enhances the reliability of API calls in scenarios with temporary service unavailability. Additionally, developers can implement caching strategies to store and reuse API responses locally, minimizing redundant requests and improving overall app performance.
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