690606:1705 ADR-035-135 #06

.agents/rules/11-ai-integration.md

@@ -27,7 +27,7 @@ n8n (Migration) → DMS API → BullMQ → Admin Desktop (Ollama) → Backend Va
 | **AI Gateway**    | Backend (NestJS)          | API endpoints, validation, audit logging                                 |
 | **BullMQ Queues** | Backend (NestJS)          | ai-realtime (RAG/Suggest), ai-batch (OCR/Extract/Embed)                  |
 | **Ollama Engine** | Admin Desktop (Desk-5439) | typhoon2.5-np-dms:latest (Main LLM) + typhoon-np-dms-ocr:latest (OCR, keep_alive:0) + nomic-embed-text (Embedding) |
-| **OCR Engine**    | Admin Desktop (Desk-5439) | PaddleOCR + PyThaiNLP (Thai/English text extraction)                     |
+| **OCR Engine**    | Admin Desktop (Desk-5439) | Tesseract OCR + Typhoon OCR (via Ollama) + PyThaiNLP (Thai/English text extraction) |
 | **Orchestrator**  | QNAP NAS (n8n)            | Migration Phase orchestrator only (calls DMS API, never Ollama directly) |
 
 ## Backend Implementation (NestJS)
@@ -118,7 +118,7 @@ const DocumentReviewForm = ({ document, aiSuggestions }) => {
 - **3-Model Config:** typhoon2.5-np-dms:latest (Main) + typhoon-np-dms-ocr:latest (OCR, keep_alive:0) + nomic-embed-text (Embedding)
 - **PDF 3-Page Limit:** Classification/Tagging uses first 3 pages only (NOT RAG embedding)
 - **RAG Embedding:** Full document chunked at 512 tokens/64 tokens overlap
-- **OCR Auto-Detect:** PyMuPDF chars > 100 → Fast path, else PaddleOCR
+- **OCR Auto-Detect:** PyMuPDF chars > 100 → Fast path, else Tesseract OCR (with Typhoon OCR option)
 - **Embed Auto-Trigger:** AUTO after commit (parallel), gap covered by DB search
 - **Threshold Recalibration:** After 100-500 docs, based on ai_audit_logs analysis
 

.agents/skills/nestjs-best-practices/AGENTS.md

@@ -6454,7 +6454,7 @@ CREATE TABLE ai_audit_log (
   user_id INT NOT NULL,
   action VARCHAR(64) NOT NULL,       -- 'ai.extract_metadata', 'ai.classify', etc.
   file_id INT,
-  model VARCHAR(64),                  -- 'gemma-4:7b', 'paddleocr-v3'
+  model VARCHAR(64),                  -- 'gemma-4:7b', 'typhoon-np-dms-ocr', 'tesseract-ocr'
   confidence DECIMAL(4,3),
   input_hash CHAR(64),                -- SHA-256 of input for replay detection
   output_summary JSON,

.agents/skills/nestjs-best-practices/rules/lcbp3-ai-boundary.md

@@ -137,7 +137,7 @@ CREATE TABLE ai_audit_log (
   user_id INT NOT NULL,
   action VARCHAR(64) NOT NULL,       -- 'ai.extract_metadata', 'ai.classify', etc.
   file_id INT,
-  model VARCHAR(64),                  -- 'gemma-4:7b', 'paddleocr-v3'
+  model VARCHAR(64),                  -- 'gemma-4:7b', 'typhoon-np-dms-ocr', 'tesseract-ocr'
   confidence DECIMAL(4,3),
   input_hash CHAR(64),                -- SHA-256 of input for replay detection
   output_summary JSON,