#Asynchronous Requests

Because queries take time to travel to our servers and back to your client, a common use case is to send hundreds, even thousands, of requests simultaneously to the xAI servers. It takes a long time to do this synchronously, so we construct our requests, send them asynchronously, and gather the results when the all tasks are finished processing.

Therefore, we can send our requests concurrently in the time required to send just one! Please note that you are unable to parallelize your requests past your team's rate limit.

To parallelize a group of asynchronous requests using AsyncOpenAI, you can leverage Python's asyncio library for concurrent execution:

Your response should look something like this: