Steps done to install zsh_codex
1.) Installed openai using pip install openai 2.) Clone the repo with the given link, in my custom dir.
3.) Added source "$ZSH_CUSTOM/plugins/zsh_codex/zsh_codex.plugin.zsh" to my .zshrc
4.) Created openaipirc with the secrets generated from https://beta.openai.com/account/api-keys

Hi. This looks like a fantastic idea and I'd like to try it out but I'm currently using fish. Would it be possible to port this as a plugin for Fisher or OMF?

Maybe I'm just missing something here, but I can't seem to figure out how to acutally have zsh execute whatever codex comes up with, upon pressing enter, it complains about the # and if I press Ctrl+x again, it just generates more commands. https://user-images.githubusercontent.com/65448408/139941453-7a4974c5-028c-4cfb-b9f6-4c59be16f42d.mp4

When trying to run I get:

echo Traceback (most recent call last): File "/home/tc/.oh-my-zsh/custom/plugins/zsh_codex/create_completion.py", line 67, in <module> response = openai.Completion.create(engine='davinci-codex', prompt=input_prompt, temperature=0.5, max_tokens=32, stream=STREAM) File "/home/tc/.local/lib/python3.9/site-packages/openai/api_resources/completion.py", line 31, in create return super().create(*args, **kwargs) File "/home/tc/.local/lib/python3.9/site-packages/openai/api_resources/abstract/engine_api_resource.py", line 66, in create response, _, api_key = requestor.request( File "/home/tc/.local/lib/python3.9/site-packages/openai/api_requestor.py", line 129, in request resp = self.interpret_response(rbody, rcode, rheaders, stream=stream) File "/home/tc/.local/lib/python3.9/site-packages/openai/api_requestor.py", line 348, in interpret_response return self.interpret_response_line(rbody, rcode, rheaders, stream) File "/home/tc/.local/lib/python3.9/site-packages/openai/api_requestor.py", line 367, in interpret_response_line raise self.handle_error_response( openai.error.AuthenticationError: No such organization: Personal.

We recently listed Zsh Codex in Fig Plugin Store, so we'd love to have Fig listed as a download method on your readme. We have over 100k users that will benefit from this.

Thanks so much and please let me know if you have any questions!

The git clone command may throw errors like:

$ git clone https://github.com/tom-doerr/zsh_codex.git ~/.oh-my-zsh/custom/plugins/
fatal: destination path '/home/$USER/.oh-my-zsh/custom/plugins' already exists and is not an empty directory.

Adding the full path helps to mitigate this problem.

Since oh-my-zsh basically just sources the plugin file, we can do that manually as well. Also states clearly that one needs oh-my-zsh for the original install method.

Summary

This PR integrates LLMHub. This integration allows users to get started right away (1-click!), and automatically integrates all relevant LLM providers without requiring users to set up API keys with each. Additionally we provide various tools to make it easier to improve its accuracy/latency/costs (via tools for finetuning & prompt engineering).

A user would only need to do the following to get started:

pip3 install llmhub
# llmhub was globally installed as part of previous command.
llmhub auth

llmhub auth points users to a webpage where they need to sign in via GitHub. That's it!

Features

:massage: Allow users to use your app in 1-click.

:computer: Deploy in 1-click.

:haircut: Integrate ANY LLM in 3-lines with a standardised API.

:wrench: Monitor and improve your prompts.

:earth_americas: Discover new prompts easily, and showcase your work.

:muscle: Contribute to popular prompts, and improve your skills.

:dollar: Free credits while we're in beta

Some things to note

• The current prompts are deployed to be an exact replica of existing code (models & parameters like temperature/frequency_penalty). Easy to edit.
• We'd love to keep this LLM work public/open-source. Is that OK?

About Us

We're @vatsalaggarwal and @sidroopdaska. @sidroopdaska was the second engineering hire at the largest autonomous driving company in Europe, and I was an ML Scientist at Amazon for 4 years and researched deep generative models!

I'm trying to get it works. Everything seems to be well configured, but when I'm trying to get some feedback... you can see behavior here.

This is my related .zshrc related configuration:

plugins=(git zsh-syntax-highlighting zsh-autosuggestions history z kubectl kube-aliases docker helm zsh_codex)
zle -N create_completion
bindkey '^X' create_completion

Also, here my ~/.config/open:

[openai]
organization_id = <org_...>
secret_key = <secret_key>

zsh-autosuggestions is able to provide a tab-autocompletion preview based on the .zsh_history:

Something similar would be useful for this plugin: This way, one could accept codex completions using <TAB> or discard them with any other key.

Hi, I'm a python developer who work with multiple python environments (at least one per project). I did not want to install openai in each environment.

Maybe you could create python package in place of create_completion.py that could be installed with pipx?

I'm getting the error in title. org_id & secret_key are correct, but I still get the error immediately after pressing ^X.

Anyone else experiences that?