OpenAI-API-dotnet VS llm-workflow-engine

Can't say I've compared them to one another, but OpenAI by OkGoDoIt has bee pretty easy to use.

I'm keen to tinker around on the ChatGPT space, and I managed to build something pretty good in C# using this plugin. https://github.com/OkGoDoIt/OpenAI-API-dotnet It has an Angular front end on the client and allows the user to query ChatGPT. So far so good.

Are you familiar with https://github.com/OkGoDoIt/OpenAI-API-dotnet?

One such library is available on GitHub: OpenAI-API-dotnet. This package is designed to work seamlessly with .NET applications, making it easy for you to integrate Chat-GPT into your project.

I'm happy to point people in the direction of what was used, this used OpenAI GPT API using: https://github.com/OkGoDoIt/OpenAI-API-dotnet and the backend AI service is built in ASP Core and interacts with actual WoW data stored in a MySQL database to build the prompts using various bits of info about the targeted NPC and current player.

On this topic, when developing with the OpenAI API in .NET like with this library at Github, I was pleasantly surprised just how easy it is to customize a chat bot. As in... Super simple. The ChatGPT API simply takes what they call a "System" message and this sets up the personality of the bot. E.g. "You are a librarian, eager to answer any questions. You refuse to discuss topics not pertaining to literature." One can also populate it with a leading conversation to run off with.

I'm baffled, what am I doing wrong here? Shouldn't this emulate similar results to ChatGPT? I am using the following NuGet for OpenAI access: https://github.com/OkGoDoIt/OpenAI-API-dotnet

In Visual Studio you can install a NuGet package which allows you to connect with OpenAI it is documented here https://github.com/OkGoDoIt/OpenAI-API-dotnet the caveat is that you need to write your app using C#, there are many places you can convert vb.net to C# until you get the hang of C#, you'll get it in no time, I am sure.

I want to turn on my mic and see my words show up in my active terminal tab. App-agnostic is good but app-specific would work; this is for chatgpt input with https://github.com/mmabrouk/chatgpt-wrapper. right now i'm using chatgpt in browser with speech-to-text browser extension and I would prefer not to. advice regarding older hardware applies here, but also interested in cutting edge for powerful pcs. Any guidance, links to guides valued.

There are more popular Python projects for ChatGPT: https://github.com/mmabrouk/chatgpt-wrapper

Shameless plug here for those (like the author) who are using GPT in your projects and finding the costs to be too high.

I've built an open source wrapper around ChatGPT that lets you use it programmatically as an API or from Python or in CLI. Best of all, it's completely free! So it is great for testing the waters on a hobby project.

Check it out on GitHub: https://github.com/mmabrouk/chatgpt-wrapper

Never worry about exceeding hourly submit times, as the tool waits until it can run again. In short, the ChatGPT Batch Whipper tool is an efficient and user-friendly way to perform batch jobs with ChatGPT. We welcome any feedback or suggestions you may have, so give it a try and see how it can improve your workflow! Thanks to @mmabrouk some of codes were inspired and modified from his repo.

the wrapper I'm using is https://github.com/mmabrouk/chatgpt-wrapper, which is awesome (no credit to me). I just wrote a bash script to wrap around the wrapper :P.

chatgpt-wrapper: API for interacting with ChatGPT using Python and from Shell.

What is the best way to quickly install Python repos like chatgpt-wrapper using Nix?

You may have seen people write tools that use the chat gpt engine, but they all work by automating a browser connected to https://chat.openai.com/chat (e.g. chatgpt.py).