Create hallucination_detective.py

hallucination_detective.py

@@ -0,0 +1,49 @@
+import logging
+from typing import Dict, Any
+from agentic_reliability_framework.runtime.agents.base import BaseAgent
+from ai_event import AIEvent
+
+logger = logging.getLogger(__name__)
+
+class HallucinationDetectiveAgent(BaseAgent):
+    """Detects hallucinations using confidence, perplexity, and consistency checks."""
+    def __init__(self):
+        super().__init__(AgentSpecialization.DETECTIVE)
+        self._thresholds = {
+            'confidence': 0.7,
+            'perplexity': 10.0,
+            'retrieval_similarity': 0.6
+        }
+
+    async def analyze(self, event: AIEvent) -> Dict[str, Any]:
+        try:
+            flags = []
+            score = 1.0
+            if event.confidence < self._thresholds['confidence']:
+                flags.append('low_confidence')
+                score *= 0.5
+            if event.perplexity and event.perplexity > self._thresholds['perplexity']:
+                flags.append('high_perplexity')
+                score *= 0.6
+            if event.retrieval_scores and max(event.retrieval_scores) < self._thresholds['retrieval_similarity']:
+                flags.append('low_retrieval_relevance')
+                score *= 0.7
+
+            is_hallucination = len(flags) > 0
+            return {
+                'specialization': 'ai_hallucination',
+                'confidence': 1 - score if is_hallucination else 0,
+                'findings': {
+                    'is_hallucination': is_hallucination,
+                    'flags': flags,
+                    'risk_score': score
+                },
+                'recommendations': [
+                    "Regenerate with lower temperature",
+                    "Use a different model variant",
+                    "Provide more context"
+                ] if is_hallucination else []
+            }
+        except Exception as e:
+            logger.error(f"HallucinationDetective error: {e}", exc_info=True)
+            return {'specialization': 'ai_hallucination', 'confidence': 0.0, 'findings': {}, 'recommendations': []}