Refactor digitador bot and add runtime monitoring

services/extraction/api/desktop_ingest.py

@@ -8,6 +8,8 @@ from domain.normalizer import normalize_to_schema
 from domain.profiles import get_profile
 from domain.prompts import PromptBuilder
 from domain.service import InvoiceProcessingService
+from domain.config import settings
+from domain.usage_tracking import record_api_usage
 from infrastructure.database import ExtractionRow, Task, utcnow
 from infrastructure.serialization import flatten_extraction_result
 from sqlalchemy.orm import Session
@@ -276,7 +278,7 @@ def process_desktop_ingest(
   else:
     prompt = instruction or PromptBuilder.build(selected_paths, {}, profile_name=prof.get("name", "invoice"))
 
-  data, _usage = service.extract_full_from_pdf(
+  data, extraction_usage = service.extract_full_from_pdf(
     temp_path,
     instruction=prompt,
     tiff_page_range=tiff_page_range,
@@ -292,8 +294,28 @@ def process_desktop_ingest(
     profile_name=prof.get("name", "invoice"),
   )
   normalized_obj = data
+  normalizer_usage = None
   if isinstance(norm, dict):
     normalized_obj = norm.get("normalized") or data
+    normalizer_usage = norm.get("_usage")
+
+  usage_result = record_api_usage(
+    dict(task.result or {}),
+    phase="extract",
+    model=str(getattr(service.extractor, "model", model or "unknown")),
+    usage=extraction_usage,
+    radicado=radicado,
+    filename=filename,
+  )
+  usage_result = record_api_usage(
+    usage_result,
+    phase="normalize",
+    model=str(settings.api.normalizer_model),
+    usage=normalizer_usage,
+    radicado=radicado,
+    filename=filename,
+  )
+  task.result = usage_result
 
   return persist_desktop_ingest_result(
     session,