AGUI sounds similar:
https://github.com/ag-ui-protocol/ag-ui
This provides a bit more detail on how they relate to each other
Readit Newsmeander_water commented on A2UI: A Protocol for Agent-Driven Interfaces a2ui.org/... · Posted by u/makeramen
meander_water commented on State of AI: An Empirical 100T Token Study with OpenRouter openrouter.ai/state-of-ai... · Posted by u/anjneymidha
Overall really interesting read, but I'm having trouble processing this:
> OpenRouter performs internal categorization on a random sample comprising approximately 0.25% of all prompts
How can you arrive at any conclusion with such a small random sample size?
meander_water commented on Anti-patterns while working with LLMs instavm.io/blog/llm-anti-... · Posted by u/mkagenius
This post is a mess. The best advice is clear and specific, and this is neither.
The examples are at best loosely related to the points they're supposed to illustrate.
It's honestly so bad that I cynically suspect that this post was created solely as a way to promote click3, in the first bullet, and then 4 more bullets were generated to make it a "whole" post
Yeah I was hoping for a lot more from the title.
meander_water commented on Show HN: Runprompt – run .prompt files from the command line github.com/chr15m/runprom... · Posted by u/chr15m
This is really cool and interesting timing, as I created something similar recently - https://github.com/julio-mcdulio/pmp
I've been using mlflow to store my prompts, but wanted something lightweight on the cli to version and manage prompts. I setup pmp so you can have different storage backends (file, sqlite, mlflow etc.).
I wasn't aware of dotprompt, I might build that in too.
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We already have AG-UI [0], which has been implemented by frameworks like Microsoft agent framework, pydantic AI and llamaindex. I guess they'll just have to duplicate functionality.
Sigh.
I've been doing something like this for a while, and it provides decent enough results for agents to one-shot. The key is to specify the LLM with the idea, and then get it to ask you questions until you feel enough ambiguity has been eliminated from the product spec for you to pass it to an agent.
meander_water commented on WorldGen – Text to Immersive 3D Worlds meta.com/en-gb/blog/world... · Posted by u/smusamashah
It's funny, I clicked the link to the demo, but it 404s, then I tried googling Worldgen, and it turns out someone else has built the same thing in May and called it Worldgen as well. Looks like it does better at realistic 3D scenes compared to this.
I think this post only covers one side of the coin. Sure, getting things done fast achieves the outcome, but in the long run you retain and learn less. Learning new stuff takes time and effort.