If experimenting with this technology is the important thing for us to understand what we can build with it and what we should or should not build with it, then making it easier to experiment is the next goal. I still have experimenting to do with this idea, and having this tool gives me that opportunity. To me this is exciting as it means that ChatGPT could help create more natural voice assistants, that can translate meaning from speech better than the existing crop that expect commands to be given in a more exact manner. But as you experiment with that you will likely find that it should not be an information API, but more likely something you can use to understand your natural text and turn it into a JSON object. You might have heard, for example, that you can ask ChatGPT to help you with programming, but you could also specify a JSON structure and effectively use it as an API as well. Learning that the system commands can give the bot different personalities and make it respond in different ways is very interesting. However, it returns content that is not necessarily correct, regardless of how confidently it presents that content.Įxperimenting with ChatGPT is the only way that we can try to understand what it useful for, thus building a simple chat bot likes this gives us grounds for that experiment. It is clearly impressive, its ability to return text that reads as if it was written by a human is incredible. Personally, I’m not actually sure how useful ChatGPT is. Once you’ve declared that, you can start chatting with it. This will start your interaction with the assistant, starting with it asking what kind of assistant you want. OPENAI_API_KEY =YOUR_API_KEY node index.js We also import the createInterface function from node:readline We can import stdin and stdout from the node:process module, renaming them to input and output to make them easier to use with Readline. To work with the terminal, those streams will be stdin and stdout. Node.js provides the Readline module which makes it easy to receive input and write output to streams. To create the CLI, we just need to hook this up to user input in the terminal. That gives the bot history of the conversation, context for which it can build further answers on. message ) // => 'Of course! London is known for its diverse and delicious food scene.'Īs the conversation goes on, we can add the user’s questions and assistant’s responses to the messages array, which we send with each request.

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