openai-python VS ruby-openai

Check the official migration guide for updates.

Okay, I know Tesla's extremely high P/E ratio is because it's worth is not just tied to cars, and so xAI priced at $20B more than Anthropic does not necessarily mean xAI's AI products are that much better than Anthropic's (e.g. presumably xAI's worth is tied to synergies with Tesla FSD, Optimus, and maybe even Neurolink)...but what products does xAI actually offer, other than Grok being an add-on for premium X subscriptions?

Not only does the Grok API not have access to Grok 3, which was released more than a month ago, it doesn't even have it's own SDK? [0]

> Some of Grok users might have migrated from other LLM providers. xAI API is designed to be compatible with both OpenAI and Anthropic SDKs, except certain capabilities not offered by respective SDK. If you can use either SDKs, we recommend using OpenAI SDK for better stability.

(every code example has a call for `from openai import OpenAI`)

How would using Grok be viable for any enterprise? And if Grok's API is designed to be drop-in replacement for OpenAI's, how are they not able to just use Grok to whip up their own SDK variant based on OpenAI's open-sourced SDK [1] and API spec?

[0] https://docs.x.ai/docs/guides/migration

[1] https://github.com/openai/openai-python

If you want to get an idea for the changes, here's a giant commit where they updated ALL of the Python library examples in one go from the old chat completions to the new resources APIs: https://github.com/openai/openai-python/commit/2954945ecc185...

The API itself is pretty straightforward. You can use it with the OpenAI package on NPM or PIP, or make an HTTP Request. Note for this demo I will be using NodeJS. I will be working in an empty folder with an index.js file, and a package.json file.

To interact with the OpenAI API, you will install the openai package:

Python was chosen for its versatile libraries, particularly linkedin_jobs_scraper and openai. These packages streamlined the scraping and processing of job data.

The essential library for this project is OpenAI, supported by two helper libraries. Install them with the poetry dependency manager a shown:

What’s the relationship, if any, with https://github.com/alexrudall/ruby-openai ?

That gem is actively maintained and widely used. It’s a good gem! But by definition they’re always playing catch up.

If you are using Open AI's API, this tokenizer is more accurate than the one coming with `ruby-openai` gem.

ruby-openai

If you can just interact with OpenAI api directly without langchain then that eliminates need for python. Here’s a gem for interacting with the OpenAI api : https://github.com/alexrudall/ruby-openai

There is a gem developed by Alex - https://github.com/alexrudall/ruby-openai.

I've been playing with ruby-openai, a Ruby gem (ie, library) that interfaces with the OpenAI API. I'm building myself a small movie-recommendation tool, just a personal need, as well as to teach myself how this stuff works. It's unlikely I'll ever build it into a proper app, as I'm okay with interacting in the shell and with text files, versus a web-based thing. But if there's interest, I'll push my tool up to Github.

Can use https://github.com/alexrudall/ruby-openai to do this sort of thing also :)