How do you handle API rate limiting in Phalcon?

Answer: In Phalcon, you can handle API rate limiting by implementing middleware or using event listeners. You can track the number of requests per user or IP address within a specific time frame using a caching mechanism, like Redis or file-based storage. If the limit is exceeded, you can respond with an appropriate HTTP status code (e.g., 429 Too Many Requests) and a message indicating the rate limit has been reached. This ensures efficient handling of API requests while maintaining service availability.

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