In case you're using JS/TS, I've been working on an abstraction layer for integrating AI models applications, unifying the API for common operations such as text streaming, object generation, and tool usage: https://github.com/lgrammel/modelfusion
So, you essentially took my project ( https://github.com/rubberduck-ai/rubberduck-vscode ), and instead of contributing to it or forking it, you recommitted all the code under your own name, with a few small tweaks.
To be fair, I saw that you give credit, but it's kind of disappointing still given that prob 98% of the project is the work of the Rubberduck contributors. I know Rubberduck is not that active any more, but it's still disappointing.
Shout out to OP for ModelFusion. Probably one of the better ways to use LLMs instead of just integrating the OAI API and reinventing the rest of the wheel.
Handles lots of corner cases and lets you swap in other models easily.
Hi @lgrammel, my intention was not to undermine the contributions made by you and others. Added all the original missing contributor's list to the repo. The commit link is http://tinyurl.com/2uzdefak.
I am genuinely curious to know, what is your expectation here? He gave you credit in Github. He called it forever "indebted", which IMO is too much. You put out code under MIT license. MIT license means anyone can take the copy and fork it.
Why are you disappointed? Are you disappointed because a person of Indian origin did it better than you Or are you disappointed that because you wanted all fame but he took your code fork (still valid under MIT license) and did a better marketing than you with wrapper.
If you don't want people to use your use, put behind paywall. It is not difficult to understand.
Considering both repositories are on Github, actually forking it instead of re-commiting it all as 'init commit' would be a good start.
As you said, nothing compels srikanth235 to do this though, but it's a generally more respectable (acceptable?) way to continue someone elses work as a new project.
Also not sure why you had to bring the race of srikanth235 into it.
You need to step back, cool down and get some perspective. No rational person on the planet could interpret his critique as having any racism or even racist undertones.
srikanth235 made the right move by acknowledging the contributor list from the previous project that was lost due to this repo not being a fork of the original.
I second this call to step back and get some perspective, and mainly because no comment by the claimant here was racist, and none of the comment in this chain contained any racist undertones. Rather it seems that our green text friend here has jumped to a conclusion and inferred something that wasn't present.
I think it is more nuanced. This article for example contains examples that suggest otherwise if you want to increase quality (which is a major concern when putting things in production):
I had it starred! It looks like a nice set of tools for building a multi-modal AI app - I'll give it a try when I flesh out a discord AI gaming app I was working on. Is the multi-modal aspect (image, audio, language) the main focus? Maybe putting that a bit higher in the readme would help it stick - the intro section was a bit too dense and I ended up skimming it.
As for traction, I wonder if there just isn't much interest in AI with JS/TS right now, for whatever reason?
Yes, good point, JS/TS is definitely behind Python. That might explain some of it.
I expect most models to become multi modal in the future and am building towards. A lot of the core logic of agents will nevertheless be text based imo, so that’s a central piece, but I already added text to image and speech to text, and plan to add text to speech next.
ModelFusion is a library for building AI apps, chatbots, and agents. It provides abstractions for AI models, vector indices, and tools.
- Type inference and validation: ModelFusion uses TypeScript and Zod to infer types wherever possible and to validate model responses.
- Flexibility and control: AI application development can be complex and unique to each project. With ModelFusion, you have complete control over the prompts and model settings, and you can access the raw responses from the models quickly to build what you need.
- No chains and predefined prompts: Use the concepts provided by JavaScript (variables, functions, etc.) and explicit prompts to build applications you can easily understand and control. Not black magic.
- More than LLMs: ModelFusion supports other models, e.g., text-to-image and voice-to-text, to help you build rich AI applications that go beyond just text.
- Integrated support features: Essential features like logging, retries, throttling, tracing, and error handling are built-in, helping you focus more on building your application.
