I Created an AI Server with Python and 5 Amazing Features — part 2

Author(s): Fabio Matricardi

Originally published on Towards AI.

An OpenAI-compatible API server for OpenVINO text generation: how to use an AI coding assistant to extend features and handle errors.

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image by the author (20%), Claude prompt (20%) and Flux.1-Schnell (60%)

In the first part of this series, I described my journey of creating an OpenAI API-compatible server using OpenVINO, driven by my frustration with the complexities of the OpenVINO Model Server (OVMS).

I decided to build my own solution without using Docker, and with the assistance of Claude, as my AI coding assistant.

I analyzed OpenVINO’s complexities and built my own API Server in 20 hours — from the idea to the code: the hidden…

pub.towardsai.net

We used FastAPI for handling requests and OpenVINO for generating responses.

So far it is clear that AI coding (also called Vibe Coding) is not a walk in the park, and it comes with great advantages and potentially huge drawbacks. The first ones (advantages) are about continuous interaction, live, while coding. The latter (the drawbacks) are subtle: you may be so ignorant about what you are asking that you are not even able to know what and where needs to be fixed.

Understanding the tools and programming language is crucial.Debugging and providing feedback to the AI assistant is essential.Human errors can also be part of the problem.Documentation is vital… Read the full blog for free on Medium.

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Published via Towards AI