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Currently, there are only two ways to add AI models:
Manual input – users must type the full model name, which is error‑prone and cannot be batched.
Auto‑fetch – a toggle fetches the list automatically, but users cannot tell if it succeeds, see which models are fetched, or pick from them.
Currently, it is not possible to set a default model for different repositories, which is not flexible enough.
Proposed Improvement
I suggest a new interaction flow:
After clicking “Auto‑fetch”, the system displays the full list of retrieved models in a clear UI.
Users can check the models they actually want to use and batch add all selected models with one click.
Additionally, support setting a default model independently for each repository, allowing different projects to use different default models.
This keeps the convenience of auto‑fetch while giving users visibility, choice, and per‑repository control.
My Implementation
I have prepared a demo video (link below) showing the improved workflow, including list display, batch addition, and per‑repository default configuration.
🔗 Video Link:
Preference:
preference.mp4
RepositoryConfigure:
repositoryConfigure.mp4
If this direction is welcome, I am happy to implement and submit a PR.
Current Problem
Currently, there are only two ways to add AI models:
Currently, it is not possible to set a default model for different repositories, which is not flexible enough.
Proposed Improvement
I suggest a new interaction flow:
This keeps the convenience of auto‑fetch while giving users visibility, choice, and per‑repository control.
My Implementation
I have prepared a demo video (link below) showing the improved workflow, including list display, batch addition, and per‑repository default configuration.
🔗 Video Link:
Preference:
preference.mp4
RepositoryConfigure:
repositoryConfigure.mp4
If this direction is welcome, I am happy to implement and submit a PR.
Questions
Do you think this optimization is necessary?