Openai_ex - OpenAI API client library

restlessronin

The repo is at GitHub - cyberchitta/openai_ex: Community maintained Elixir library for OpenAI API · GitHub.

Docs are at OpenaiEx User Guide — openai_ex v0.9.21.

The main user guide is a livebook, so you should be able to run everything without any setup. The user guide is also the test suite. It is run before every version release, so it is always up to date with the library.

Portions of this project were developed with assistance from ChatGPT 3.5 and 4, as well as Claude 3 Opus and Claude 3.5 Sonnet. However, every line of code is human curated (by me ).

All API endpoints and features (as of Mar 16, 2025) are supported, including the most recent Responses API (proposed replacement for Chat Completion).

Configuration of Finch pools and API base url are supported.

There are some differences compared to other elixir openai wrappers.

I tried to faithfully mirror the naming/structure of the official python api. For example, content that is already in memory can be uploaded as part of a request, it doesn’t have to be read from a file at a local path.
I was developing for a livebook use-case, so I don’t have any config, only environment variables.
Streaming API versions, with request cancellation, are supported.
The underlying transport is finch, rather than httpoison
3rd Party (including local) LLMs with an OpenAI proxy, as well as the Azure OpenAI API, are considered legitimate use cases.

Documentation is still a work in progress. In addition to the user guide, there are also Livebook examples for

Streaming Orderbot An example of how to use ChatCompletion streaming in a Chatbot. This is a streaming version of the next Livebook in this list.
The Deeplearning.AI Order Bot — openai_ex v0.9.21. This notebook is an elixir / Kino translation of the python notebook in Lesson 8, of Deeplearning.AI’s course ChatGPT Prompt Engineering for Developers.
A Completions Bot (Deprecated API) — openai_ex v0.9.21 which can be deployed as a Livebook app. The deployed app displays 2 forms, one for normal completions and another for streaming completions.
An Image Generation Kino App — openai_ex v0.9.21

The library is developed in a livebook docker image running in a VS code dev container.

Please try it out and let me know what you think. Happy to receive suggestions (and PRs) for improvement, as well as illustrative sample notebooks.

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2026-10-07 17:25:57 UTC

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hubertlepicki

FYI, as of 3 days ago, I’ve been using it with some light experiments xD

Post #1

restlessronin

Wonderful. You must have found it almost at the same time I first published the package Lots of improvements / changes in the past few days (including switching from Req to Tesla)

Hope you’re finding it useful. Let me know if you have any comments / suggestions.

Post #2

dimitarvp

Would you give us the rationale as to why? I am interested to read it.

Post #3

restlessronin

No deep reason. I liked the Req design a little better, but it doesn’t support multi part form uploads. Tesla does. And some of the API endpoints require it.

Post #4

dimitarvp

Well, that’s a pretty good reason though. Thanks.

Post #5

hubertlepicki

FYR, there’s a stand-alone multipart building library that can be used with HTTP clients that don’t have it built in, at least one, I think I used a different one back in the day but can’t find it now:

https://github.com/breakroom/multipart

Post #6