multipart 0.4.0 is out with my PR merged. so i have now uploaded openai_ex v0.1.8 to hex.pm.
restlessronin
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restlessronin
I have added Image Generation Kino App — openai_ex v0.9.21, a starter Kino UI for the Image Generation endpoint.
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restlessronin
dtew
I was pointed to this (‘free whilst in beta’) course: ChatGPT Prompt Engineering for Developers
blurb: “The course teaches prompt engineering best practices for application development, different ways to use LLMs, and how to iterate on prompts using the OpenAI API. It covers how to write effective prompts, how to systematically engineer good prompts, and how to build a custom chatbot. The course is beginner-friendly, but it is also suitable for advanced machine learning engineers.”
It is run by Andrew Ng, from Coursera AI fame, and guest from OpenAI.
The course is in python and jupyter (unfortunately not Elixir and Livebook ) but the main thrust is about showing how to organise the process of integrating Open.ai into any system - so not python or jupyter specific.
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restlessronin
@neilberkman I’m looking into supporting streaming responses from the chat continuation endpoint. I notice that your solution works by connecting a genserver to eventsource_ex, which appears to use HttpPoison under the hood.
I’ve already moved from Tesla to Finch for connecting to the endpoints. Do you have any pointers to making this work with Finch? It seems to me that I would need to pass in a custom stream(acc) function to Finch.stream which sent messages to a genserver/agent entity every time it was called.
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restlessronin
Fantastic @zachallaun . Thank you!!! I got it working in a couple of hours (had a little trouble parsing the chunks). Now I just need an example for the user guide, and it should be good to release.
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zachallaun
Glad I could help! Maybe when/if that PR lands, you could switch back to using Req and have gone full circle from Req → Tesla → Finch → Req 
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restlessronin
Indeed! 
Although I do need multipart support as well. Still, it’s nice that there are so many more-or-less usable options.
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restlessronin
I have now added support for streaming responses for Completion and ChatCompletion endpoints.
At this point, the entire current OpenAI API is supported, and the library has somewhat stabilized. So I’ve bumped the minor version to 0.2.
Keep the feedback and suggestions coming! Shoutout to @hubertlepicki for pointing me at multipart, and @neilberkman and @zachallaun for their samples on how to stream. Those ideas have already made it into the library.
Some of the background information on langchain, prompt engineering, etc. has also been very informative.
Many thanks 
to everyone.
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