48a5e49313
The LLM was bad at scoring its own conversion quality — rejecting good Pass 2 output (score 5/10 for a perfectly usable conversion). Instead: - Remove Pass 3 entirely (saves ~0.4s and one inference call) - Trust Pass 2 output and return it to the user - Build notification from Pass 1 classification info instead - User can always adjust mapping via dropdowns if they disagree |
||
|---|---|---|
| .. | ||
| assets | ||
| auth | ||
| core | ||
| loggers | ||
| models | ||
| plugins/data-designer-unstructured-seed | ||
| requirements | ||
| routes | ||
| state | ||
| tests | ||
| utils | ||
| colab.py | ||
| main.py | ||
| run.py | ||