For large tasks, a developer should send requests directly to an API. A developer should not route many requests through a server that adds extra steps. This prevents slow processing and bottlenecks.
By Pawan Nayar · from the LLOS AI Learning record
For large tasks, a developer should send requests directly to an API.
A developer should not route many requests through a server that adds extra steps. This prevents slow processing and bottlenecks.
A developer should bypass a server for tasks with more than 100 API calls. Routing many calls through a server makes them wait in line. The server processes each call one by one. This happens even if the script tries to send many calls at once. The server adds extra time for each call. This extra time is for loading settings and building the request. Sending calls directly to the API is much faster. It uses the API's full speed.
A developer needs to process 16,000 documents using an AI model. If the developer sends these requests through a Flask server, each request takes 13 seconds. This is because the server adds overhead. The total task takes days. If the developer sends requests directly to the AI model's API, each request takes 1-2 seconds. The total task finishes in hours.
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For large tasks, a developer should send requests directly to an API. A developer should not route many requests through a server that adds extra steps. This prevents slow processing and bottlenecks.