Initial kitchen scaffold — Phase 1 kitchen port (build-verified 2026-07-11)

FastAPI backend (Python 3.11, MSSQL ODBC for SambaPOS, Azure DI OCR),
kitchen_db on central PG. React/TS/Vite frontend with navy sidebar layout.

Backend: auth.py (APP_SLUG=kitchen, SimpleNamespace — archive routes use
.kitchen_id/.is_admin without modification), main.py (51 migrations, scheduler,
internal router for KDS bookings feed), api/internal.py, full archive API
(31 routers: invoices, recipes, menus, sambapos, resos, newbook, disputes,
purchase_orders, etc.), models, migrations, OCR pipeline.
kitchen_id pinned to 1 (B1 — single hotel).

Frontend: AuthGate (app=kitchen, token shim for archive compat — B5b pending),
Layout (navy sidebar, 6 sections, Lucide icons, teal --app-primary),
App.tsx (Outlet pattern, UploadApp outside Layout), index.css (full :root block).
strict: false — archive components have type issues; build clean.

Note: 45 archive components call fetch('/api/...') without /kitchen/ prefix
(B5b). Runtime 404s; deferred until after initial testing.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

backend/migrations/add_llm_infrastructure.py

@@ -0,0 +1,85 @@
+"""
+Migration: Add LLM infrastructure — settings columns, usage log table, analysis cache table.
+LLM FEATURE — see LLM-MANIFEST.md for removal instructions
+"""
+import asyncio
+from sqlalchemy import text
+from database import engine
+
+
+async def migrate():
+    async with engine.begin() as conn:
+        # 1. Add LLM columns to kitchen_settings
+        for col_sql in [
+            "ALTER TABLE kitchen_settings ADD COLUMN IF NOT EXISTS llm_enabled BOOLEAN DEFAULT FALSE",
+            "ALTER TABLE kitchen_settings ADD COLUMN IF NOT EXISTS anthropic_api_key VARCHAR(500)",
+            "ALTER TABLE kitchen_settings ADD COLUMN IF NOT EXISTS llm_model VARCHAR(100) DEFAULT 'claude-haiku-4-5-20251001'",
+            "ALTER TABLE kitchen_settings ADD COLUMN IF NOT EXISTS llm_confidence_threshold NUMERIC(3,2) DEFAULT 0.80",
+            "ALTER TABLE kitchen_settings ADD COLUMN IF NOT EXISTS llm_monthly_token_limit INTEGER DEFAULT 500000",
+            """ALTER TABLE kitchen_settings ADD COLUMN IF NOT EXISTS llm_features_enabled JSONB DEFAULT '{
+                "label_parsing": true, "invoice_assist": true, "ingredient_match": true,
+                "recipe_scanning": true, "line_item_reconciliation": true, "menu_description": true,
+                "dispute_email": true, "duplicate_detection": true, "supplier_alias": true, "yield_estimation": true
+            }'::jsonb""",
+        ]:
+            try:
+                await conn.execute(text(col_sql))
+            except Exception:
+                pass
+        print("+ Added LLM columns to kitchen_settings")
+
+        # 2. Create llm_usage_log table
+        await conn.execute(text("""
+            CREATE TABLE IF NOT EXISTS llm_usage_log (
+                id SERIAL PRIMARY KEY,
+                kitchen_id INTEGER NOT NULL,
+                feature VARCHAR(50) NOT NULL,
+                model VARCHAR(100) NOT NULL,
+                input_tokens INTEGER DEFAULT 0,
+                output_tokens INTEGER DEFAULT 0,
+                latency_ms INTEGER DEFAULT 0,
+                success BOOLEAN DEFAULT TRUE,
+                error_message TEXT,
+                created_at TIMESTAMP DEFAULT NOW()
+            )
+        """))
+        await conn.execute(text(
+            "CREATE INDEX IF NOT EXISTS idx_llm_usage_kitchen ON llm_usage_log(kitchen_id)"
+        ))
+        await conn.execute(text(
+            "CREATE INDEX IF NOT EXISTS idx_llm_usage_feature ON llm_usage_log(feature)"
+        ))
+        await conn.execute(text(
+            "CREATE INDEX IF NOT EXISTS idx_llm_usage_created ON llm_usage_log(created_at)"
+        ))
+        print("+ Created llm_usage_log table")
+
+        # 3. Create llm_analysis_cache table
+        await conn.execute(text("""
+            CREATE TABLE IF NOT EXISTS llm_analysis_cache (
+                id SERIAL PRIMARY KEY,
+                kitchen_id INTEGER NOT NULL,
+                feature VARCHAR(50) NOT NULL,
+                input_hash VARCHAR(64) NOT NULL,
+                result_json JSONB NOT NULL,
+                model_used VARCHAR(100) NOT NULL,
+                prompt_version VARCHAR(10) NOT NULL,
+                created_at TIMESTAMP DEFAULT NOW(),
+                CONSTRAINT uq_llm_cache_feature_hash_version UNIQUE (feature, input_hash, prompt_version)
+            )
+        """))
+        await conn.execute(text(
+            "CREATE INDEX IF NOT EXISTS idx_llm_cache_kitchen ON llm_analysis_cache(kitchen_id)"
+        ))
+        await conn.execute(text(
+            "CREATE INDEX IF NOT EXISTS idx_llm_cache_hash ON llm_analysis_cache(input_hash)"
+        ))
+        print("+ Created llm_analysis_cache table")
+
+    print("+ LLM infrastructure migration complete")
+
+
+if __name__ == "__main__":
+    print("Running migration: add_llm_infrastructure")
+    asyncio.run(migrate())
+    print("Migration complete!")