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
parent b0bba995e6
commit d67ac0630b
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+# A clean receipt through ChatClient.entity(Receipt.class)
+
+what the stand-in backend read from the pixels (tesseract OCR):
+    | CORNER CAFE
+    | 
+    | 2026-03-14
+    | 
+    | CURRENCY: USD
+    | 
+    | Flat White 2 x 4.50 9.00
+    | Croissant 1 x 3.75 3.75
+    | SUBTOTAL 12.75
+    | 
+    | TAX 1.12
+    | 
+    | TOTAL 13.87
+
+the record Spring AI built from the model's JSON:
+    Receipt[merchant=CORNER CAFE, date=2026-03-14, currency=USD, items=[Line[description=Flat White, quantity=2, unitPrice=4.50, lineTotal=9.00], Line[description=Croissant, quantity=1, unitPrice=3.75, lineTotal=3.75]], subtotal=12.75, tax=1.12, total=13.87]
+validation problems: none; attempts used: 1