OpenAI Frontend Engineer Coding Questions

OpenAI's chatbot service needs to display a limited number of recent messages without overwhelming users. This exercise involves implementing a sliding window algorithm to fetch and manage the latest messages.
Given an array of messages and a number k, write a function that returns the last k messages sent to the chatbot.
Function Signature: function getLatestMessages(messages: string[], k: number): string[]
Example 1:
Input: getLatestMessages(["Hello", "How can I assist you?", "What is OpenAI?", "I love AI!"], 2)
Output: ['What is OpenAI?', 'I love AI!']
Explanation: The function returns the last two messages sent to the chatbot.Constraints:
- The messages array will have at least one message and at most 10^4 messages.
- k will be a positive integer not exceeding the number of messages.

In a rapidly evolving tech landscape, OpenAI needs robust data fetching capabilities to enhance user experience. This problem requires implementing a custom Promise that includes unique features tailored to OpenAI's needs.
Implement a custom Promise class complying with the following methods:
- resolve(value: any): void — resolve the promise with the given value.
- reject(reason: any): void — reject the promise with the given reason.
- then(onResolved: Function, onRejected: Function): Promise — register callbacks to receive either a resolved value or a rejection reason, and return a new promise resolving to the return value of the called callback.
Example 1:
Input: new Promise((resolve, reject) => { resolve('Success'); })
Output: 'Success'
Explanation: The promise resolves successfully with the value 'Success'.Constraints:
- Input values are any valid JavaScript data types.
- The promise must maintain a proper chain for chaining multiple then calls.