Update backend/agents/coordinator_agent.py

backend/agents/coordinator_agent.py

@@ -80,7 +80,7 @@ class CoordinatorAgent:
 
         self._groq_client    = Groq(api_key=groq_api_key)
         self._active_backend = 'groq'
-        self._active_model   = 'openai/gpt-oss-120b'
+        self._active_model   = 'llama-3.3-70b-versatile'
 
         print(f'🧠 [CoordinatorAgent] Ready — backend=groq model={self._active_model} | ReAct loop')
 
@@ -119,16 +119,13 @@ class CoordinatorAgent:
             plan['confidence_score'] = 0.5
 
         # GR-C4: Consistency — threat_level must match risk_score thresholds
-        #   risk < 0.35 → must be LOW
-        #   0.35 <= risk < 0.65 → must be MEDIUM
-        #   risk >= 0.65 → HIGH or CRITICAL allowed
-        expected = 'HIGH' if risk_score >= 0.65 else 'MEDIUM' if risk_score >= 0.35 else 'LOW'
+        #   risk > 0.80  (density_pct > 80%) → HIGH
+        #   risk > 0.20  (density_pct > 20%) → MEDIUM
+        #   risk <= 0.20 (density_pct <= 20%) → LOW
+        expected = 'HIGH' if risk_score > 0.80 else 'MEDIUM' if risk_score > 0.20 else 'LOW'
         tl_current = plan['threat_level']
-        if expected == 'LOW' and tl_current in ('MEDIUM', 'HIGH', 'CRITICAL'):
-            issues.append(f'GR_C4_threat_downgraded:{tl_current}->{expected}')
-            plan['threat_level'] = expected
-        elif expected == 'MEDIUM' and tl_current in ('HIGH', 'CRITICAL'):
-            issues.append(f'GR_C4_threat_downgraded:{tl_current}->{expected}')
+        if tl_current != expected:
+            issues.append(f'GR_C4_threat_corrected:{tl_current}->{expected}')
             plan['threat_level'] = expected
 
         # GR-C5: Arabic alert fallback