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shell_gpt discussion
shell_gpt reviews and mentions
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Building Slack Platform Expert AI
The code was something like this (off topic, but if you're looking for a great solution for daily use, take a look at ShellGPT):
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Show HN: Sort lines semantically using LLM-sort
Otherwise it might be more or less the same as using https://github.com/TheR1D/shell_gpt ?
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T2x – a CLI tool for AI-first text operations
I use a cli tool 100x/day for misc things; can hit openai or a local llm.
https://github.com/TheR1D/shell_gpt
Has nice shell integration.
- ShellGPT: A CLI productivity tool powered by LLMs like GPT-4
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Anyone else using a terminal LLM? (+my prototype)
I was wondering if anyone else is using a minimal terminal LLM. What I mean is a small cli application that lets you use stdin/stdout/etc to just pipe data to/from an llm (provider agnostically).
For me this method has become my favorite way of using of LLMs (when I only need text IO) - but I suspect that I've (once again) just reinvented the wheel here. Previously I used https://github.com/TheR1D/shell_gpt, but I ran into a few reliability and usability issues with it.
The way this works for me, is that I just launch a terminal which automatically starts a new LLM session, and I can use the CLI to load and manipulate previously saved sessions.
Maybe in the future, what I see is that once could launch a generic LLM daemon on one's computer to just expose an API for any other tool to use, like an equivalent of an LSP, but for LLM instead of coding editors.
end rant, any ideas? Feedback? :)
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LLMs on the Command Line
Besides aider and ollama, I think shell_gpt https://github.com/TheR1D/shell_gpt is great for quick chats / lookups. Being able to quickly cat files to repl sessions saves a lot of time.
I need to integrate distil whisper large v3, aider, and shell_gpt to tidy up a lot of my disjointed LLM use. As someone else mentioned, the commits created by aider allow me to "skip" some intermediate steps that would be required when working on coding tasks with other frameworks.
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Oh My Zsh
https://github.com/TheR1D/shell_gpt?tab=readme-ov-file#shell...
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Is there a better way to feed my codebase to GPT than using this bash script? How could I bundle the source code more intelligently?
I would like to stay in the terminal, and am using https://github.com/TheR1D/shell_gpt, my format is simply to send GPT a file to discuss:
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Ask HN: How are you using LLMs in your command-line?
ShellGPT https://github.com/TheR1D/shell_gpt does pretty well for a lot of use cases. I mostly use it in REPL mode, switching topics as needed. I have wrappers around the `sgpt` command to, say, start a REPL with a particular topic, say, Python, which loads my previous history on that topic as part of the prompt.
I also have an alias to save existing chats as text files so I can go back and review history.
Finally, there is an alias to load a question up in an editor if I need to enter multiline text, e.g. to discuss code fragments, etc.
I expect command-line workflows to be pretty individualized and I'm curious what others do. For me (old programmer), using a command line REPL feels much more natural (and blissfully noise-free) than going to a Web page to talk to, say, ChatGPT.
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ChatGPT web and mobile UIs unavailable
The API still works. I've been using https://github.com/TheR1D/shell_gpt/ in my workflow.
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Stats
TheR1D/shell_gpt is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of shell_gpt is Python.