bashGPT
shell_gpt
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bashGPT
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LLM, ttok and strip-tags–CLI tools for working with ChatGPT and other LLMs
I have made a bash script(using rofi) to use chatGPT if anyone is interested.
https://github.com/ilse-langnar/bashGPT
- Show HN: Bash-gpt.sh – The power if ChatGPT, a single shortcut away
- Show HN: Bash-Gpt.sh – Easily Query OpenAI's GPT Models from Bash
shell_gpt
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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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Gorilla-CLI: LLMs for CLI including K8s/AWS/GCP/Azure/sed and 1500 APIs
I recommend shell-gpt[1] for anyone with access to the OpenAI API. It works surprisingly well considering how simple it is. Be sure to browse the examples in the README.
[1] https://github.com/TheR1D/shell_gpt
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englizsh: Zsh plugin to interface command-line GPT programs intuitively through keybindings
Nice idea. You may want to mention in the docs that it requires https://github.com/TheR1D/shell_gpt ;)
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Sideloaded my app on an old second hand smartwarch, opened a shell and talked to AI on my wrist
I honestly bought the device just to play with the wearable version of my android app: a voice controlled ssh client that let me also pass voice input to shell_gpt. Other pre installed apps won't really work on this device, including google assistant, so I had to switch to google cloud speech to text APIs for speech recognition. I can still sideload compatible apps via bluetooth debugging tho
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Can I integrate my local LLM to enable it to run system commands and execute local code?
Maybe this can help : https://github.com/TheR1D/shell_gpt
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CLI to convert natural language to terminal commands
I'm not really following these but they tend to get released every other day, like https://github.com/nlml/YoCLI/ and https://github.com/TheR1D/shell_gpt
- LLM, ttok and strip-tags–CLI tools for working with ChatGPT and other LLMs
What are some alternatives?
AIUI - AIUI is a platform enabling seamless two-way verbal communication with AI.
gorilla-cli - LLMs for your CLI
mods - AI on the command line
ai-shell - A CLI that converts natural language to shell commands.
butterfish - A shell with AI superpowers
GPTCache - Semantic cache for LLMs. Fully integrated with LangChain and llama_index.
chat_term - fast terminal access to ChatGPT
YoCLI - yo lets you find the the CLI command you are looking for by asking in natural language
awesome-chatgpt-api - Curated list of apps and tools that not only use the new ChatGPT API, but also allow users to configure their own API keys, enabling free and on-demand usage of their own quota.
thoughtloom - ThoughtLoom is a powerful tool designed to foster creativity and enhance productivity through the use of LLMs directly from the command line. It facilitates rapid development and integration of LLM-based tools into various workflows, empowering individuals and teams to experiment, collaborate, and ultimately streamline their daily tasks.