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  • I'll be the first to admit I burn too many tokens on the command line. Some form of LLM harness has been my new shell for the past 3+ years, they are much better at *sh then me, and I prefer not context switching from my terminal when I don't have to. In a way the rise of agent harnesses and their shell expertise has opened up apis and command line tools which have always been pain points for a terminal user.

    Great, simple idea applied in a novel way. Peak engineering if I ever seen it and I don't even have to look at the code. Nice work!

    by _superposition_
  • Very interesting project, I like it. Just wanted to clarify though the sentiment analysis is just the count of stripped words and used to tag things with the emoji? I was initially expecting it to be a part of the actual command construction process (even though I couldn't figure out how that would be relevant) given how it was listed.
    by Alpha3031
  • Hi, I am the creator, feel free to ask any questions :)

    What do you think about it?

    by gioscarab
  • If you could get Termy to code, you'd be a rich man
    by vegnus
  • It would make sense to have this integrate with a self-learning routine for an agent: e.g. at night it looks through what it did and writes NPC-Forge recipes. Tomorrow it can answer queries (which he turned added to NPC-Forge) without an LLM. Of course this implies a branching where a query is either processed by NPC-Forge or an LLM, depending on some measure of confidence that NPC-Forge can answer it well.
    by dmos62
  • It's kind of antithetical to the tool's deterministic positioning, but have you considered making TERMy leverage an LLM for unseen or low-confidence queries, and then generate the config and update itself to make future similar queries deterministic?
    by mbil
  • cf. https://github.com/TellinaTool/nl2bash

    paper: https://arxiv.org/abs/1802.08979

    by nateb2022
  • This is a cool project; I think it's wonderful that traditional NLP methods are being used, rather than reaching straight for an LLM.

    One significant advantage of not using a local LLM is the significantly simplified dependency stack.

    by publlus_enigma

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