Update app.py

app.py

@@ -20,7 +20,7 @@ from openai import OpenAI  # OpenAI Responses API client
 # Defaults
 # -----------------------------
 DEFAULT_CONTROLLED_VOCAB_JSON = """{
-  "risk_stance_enum": ["high_concern","moderate_concern","low_concern","inconclusive","not_assessed"],
+  "risk_stance_enum": ["acceptable","acceptable_with_uncertainty","not_acceptable","insufficient_data"],
   "study_type_enum": ["in_vivo","in_vitro","epidemiology","in_silico","review","methodology","other"],
   "exposure_route_enum": ["oral","inhalation","dermal","parenteral","multiple","not_reported"],
   "species_enum": ["human","rat","mouse","rabbit","dog","non_human_primate","cell_line","other","not_reported"],
@@ -216,7 +216,13 @@ def parse_field_spec(spec: str) -> Tuple[Dict[str, Any], List[str], Dict[str, st
 
 
 def build_extraction_schema(field_props: Dict[str, Any], required_fields: List[str], vocab: Dict[str, Any]) -> Dict[str, Any]:
-    risk_enum = vocab.get("risk_stance_enum", ["high_concern","moderate_concern","low_concern","inconclusive","not_assessed"])
+    risk_enum = vocab.get(
+        "risk_stance_enum",
+        ["acceptable", "acceptable_with_uncertainty", "not_acceptable", "insufficient_data"]
+    )
+
+    # IMPORTANT: strict schema requires required == all property keys
+    all_field_keys = list(field_props.keys())
 
     schema = {
         "type": "object",
@@ -230,7 +236,7 @@ def build_extraction_schema(field_props: Dict[str, Any], required_fields: List[s
                 "type": "object",
                 "additionalProperties": False,
                 "properties": field_props,
-                "required": required_fields
+                "required": all_field_keys  # <-- FIX
             },
             "evidence": {
                 "type": "array",