Creación de Chat con IA usando CLI en Node

Learning how to create an interactive chat with artificial intelligence in Node from a command line interface (CLI) brings multiple practical benefits. In this hands-on process, you will learn how to implement an AI system using modules such as inquirer, ora and a generation setup based on Google Generate AI.

How to handle the history of an AI conversation?

The key to a smooth interaction with artificial intelligence is in providing proper context. To do this, the following steps need to be reviewed:

• Create an empty array to store the conversation history.
• Each time you interact with the AI, aggregate the responses obtained in this array.
• Structure the messages with the format required by Google Generate AI, using objects with the parts property containing an array of the message content.

This enables the AI to maintain consistency in its responses, based on the context of previous exchanges.

What components to integrate in Node to create an AI chat?

To implement this chat in Node effectively, it is advisable to use some specific modules:

• Use inquirer with the prompt method to receive user input interactively.
• The ora module helps to present a spinner to optimize the user experience while waiting for the AI to generate responses.
• Apply specific parameters such as temperature and maxOutputTokens in the model.startChat function, which provide control over the creativity and length of the generated response.

How to handle errors during interaction?

To ensure that the application is robust, consider the following aspects:

• Implement a global error handler, using methods such as process.on().
• Specifically detect the ExitPromptError error that occurs when interrupting user input(Ctrl+C).
• This facilitates safe program exit and improves the overall user experience.

Which npm modules support better CLI in Node?

When developing applications from the terminal, certain npm modules stand out for their efficiency and usefulness:

• Commander: for efficient management of CLI arguments and options.
• Inquirer: excellent for user interaction.
• Ora: provides visual feedback during asynchronous processes.
• Colorit: preferred over Chalk for its superior performance in styling terminal output.

These modules excel in speed and efficiency contributing to robust and efficient CLI applications in Node.

What do you think of this approach to creating an interactive chat with AI from Node? Leave your feedback and let's keep moving forward together!