Hacker News Reader

Comment by BirbSingularity | Hacker News Reader

It's pretty annoying that every project like this lately is just a wrapper for OpenAI API calls.

OpenAI API is simply a utility. The question is given this utility, how does one find the right use case, structure the correct context, and build the right UX.

OP has certainly built something interesting here and added significant value on top of the base utility of the OpenAI API.

I’m moving an inordinate amount of data between the ChatGPT browser window and my IDE (a lot through copying and pasting) and this demonstrates two things: 1) ChatGPT is incredibly useful to me and 2) the worflow UX is still terrible. I think there is room for building innovative UXs with OpenAI, and so far what I’ve seen in Jetbrains and VSCode isn’t it…

That was also my experience and thought process.

Supporting more models, including Claude, Gemini, and open source models is definitely at the top of the roadmap. Would that make it less annoying? :)

Not affiliated with the project but you could use something like OpenRouter to give users a massive list of models to choose from with fairly minimal effort

https://openrouter.ai/

Thanks, I need to spend some time digging into OpenRouter. The main requirement would be reliable function calling and JSON, since Plandex relies heavily on that. I'm also expecting to need some model-specific prompts, considering how much prompt iteration was needed to get things behaving how I wanted on OpenAI.

I've also looked at Together (https://www.together.ai/) for this purpose. Can anyone speak to the differences between OpenRouter and Together?

I can't speak to the differences of Openrouter to Together but the Openrouter endpoint should work as a drop-in replacement for OpenAI api calls after replacing the endpoint url and the value of $OPENAI_API_KEY. The model names may differ to other apis but everything else should work the same.

Awesome, looking forward to trying it out.

Would love to hear any feedback from people who have gotten to know OpenRouter, as well as any similar tools.

I think Mistral-2-Pro would work really well for this, judging by the great results I've had with it on another heavy on tool calling project [1]

[1] https://github.com/radareorg/r2ai

Thanks, I'll give it a try. Plandex's model settings are version-controlled like everything else and play well with branches, so it will be fun to start comparing how all different kinds of models do vs. each other on longer coding tasks using a branch for each one.

For challenging tasks, I typically get code outputs from all three top models (gpt4, opus, and ultra), and pick the best one. It would be nice if your tool could simply this for me: run all three models and perhaps even facilitate some type of model interaction to produce a better outcome.

Definitely, I'm very interested in doing something along these lines.

https://github.com/ollama/ollama

I think OpenAI is still the best of the bunch. Kind of feel like the others are kind of there to make people realize OpenAI works the best. Maybe when Gemini 1.5 is released?

But the open source models have Open AI compatible APIs, so as long as you can set the API endpoint you can use whatever you want.

Every program is a wrapper around a CPU, so annoying.

Reply on news.ycombinator.com