Models list refactor

[dnakov]

          This list is somehow getting too large and confusing for users who start using it. Maybe we can have -mm for the fullist, -m keeping a short/compactist of suggestions ans -m? to document it for humans

Originally posted by @trufae in #12 (comment)

[dnakov]

Maybe something interactive like this, lmk what you think:
r2ai -P (provider) goes into interactive selection
[*] openai
[ ] anthropic
[ ] local (gguf)
[ ] local (other)

Next is (say you chose openAI):
[ ] gpt-3.5-turbo
[] ... etc

The result would be the same as -m <model_name>
Also, you could do r2ai -P openai and it'll just select the default model for that provider

I think we should keep the -M for a list of all models that we've actually tried running ourselves.

[trufae]

What about -mm instead? This way its easier to remember, but i like the idea of default providers. For local i use utopia a lot but that doesnt work for auto mode, and i think we should simplify the process of choosing the model by giving some defaults because 99% of users wont test and compare all models to choose one

[trufae]

ive added the -MM flag, can you check this out? also i did several more improvement and added a setup.py with the r2ai program. so in theory doing pip install r2ai will make 'r2ai' to be available in the path. its the first time doing this, so i would like to have a double check if you know how that works.

[dnakov]

setup.py seems good. r2ai works fine with pip install . I made a small update to get the relative path in main.py so that you can still invoke it with r2 -i main.py

[trufae]

I have implemented autocompletion for -m, this may be useful too. also we can eventually use promptkit.

• https://python-prompt-toolkit.readthedocs.io/en/stable/pages/dialogs.html
• https://github.com/prompt-toolkit/python-prompt-toolkit/blob/master/examples/dialogs/radio_dialog.py

[trufae]

done