How can I implement rate limiting in my AI application?
An example of an AI chatbot conversation about implementing rate limiting in AI applications.
How can I implement rate limiting in my AI application?
You can implement rate limiting by using techniques like token buckets or leaky buckets to control the number of requests.
What are the benefits of using rate limiting?
Rate limiting helps prevent abuse, ensures fair usage, and improves the overall performance of your application.
Can you give me an example of a rate limiting algorithm?
Sure! The token bucket algorithm is a popular choice. It allows a certain number of requests in a given time frame.
How do I handle requests that exceed the limit?
You can respond with a 429 status code and a message indicating that the rate limit has been exceeded.
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