Add multimodal module: receipt images to Java records on the real OpenAI, Anthropic and Ollama models against an OCR-backed local server, validation, repair retry, accuracy by photo condition

Co-Authored-By: Claude Sonnet 5.5 <[email protected]> Claude-Session: https://claude.ai/code/session_01JXVi2GMQ7bR5EmbUFdDj7N
2026-10-09 07:07:57 +00:00
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+# Ten receipts x four photo conditions through the real pipeline (OCR backend, NOT an LLM)
+
+condition              fields right exact receipts  pass validation     passed but WRONG
+clean                156/156 (100%)          10/10            10/10                 0/10
+tilted 4 degrees      149/156 (96%)           5/10             5/10                 0/10
+small (1/3 size)      105/156 (67%)           0/10             0/10                 0/10
+noisy                    2/156 (1%)           0/10             0/10                 0/10
+
+'passed but WRONG' = the arithmetic checks were satisfied and the record still differs from the receipt.