15e7348413
Wire the on-box (Claude-API-less) path decided with the operator: EXTRACT_BACKEND=ocr sends each screenshot to the on-box mrnumber-ocr service (raw text, no per-shot structuring); build_rating_profile uses an OpenAI-compatible LLM on a DO GPU droplet (RATING_LLM_URL) which extracts the reports from the raw OCR text AND produces the multi-axis verdict. Reports are folded back into the history so the people-signal + counts + safety flags reflect them; safety detection also scans the raw OCR lines so a LE term forces cop_flag even before structuring. vision/Claude stays the plum-dev default. +5 tests incl. full OCR→GPU→cop_flag flow. 33/33. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> |
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| .. | ||
| console | ||
| console-tray | ||
| mr_lookup.py | ||
| mr_lookup_test.py | ||