Create image_detector.py

image_detector.py

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+import logging
+from typing import Dict, Any
+from agentic_reliability_framework.runtime.agents.base import BaseAgent, AgentSpecialization
+from ai_event import AIEvent
+
+logger = logging.getLogger(__name__)
+
+class ImageQualityDetector(BaseAgent):
+    """
+    Detects potential quality issues in generated images.
+    Currently uses generation time as a proxy; can be extended with CLIP or aesthetic models.
+    """
+
+    def __init__(self):
+        super().__init__(AgentSpecialization.DETECTIVE)
+        self._thresholds = {'generation_time': 2.0}  # seconds
+
+    async def analyze(self, event: AIEvent) -> Dict[str, Any]:
+        """
+        Analyze image generation event.
+        Expects `retrieval_scores` to contain [retrieval_score, generation_time].
+        """
+        # Default values
+        gen_time = 1.0
+        if event.retrieval_scores and len(event.retrieval_scores) > 1:
+            gen_time = event.retrieval_scores[1]
+
+        flags = []
+        if gen_time > self._thresholds['generation_time']:
+            flags.append('slow_generation')
+
+        # Confidence inversely related to generation time (heuristic)
+        confidence = max(0, 1.0 - (gen_time / 5.0))
+
+        return {
+            'specialization': 'image_quality',
+            'confidence': confidence,
+            'findings': {
+                'flags': flags,
+                'generation_time': gen_time,
+                'quality_issues': flags
+            },
+            'recommendations': [
+                "Use a simpler prompt",
+                "Upgrade hardware",
+                "Reduce resolution"
+            ] if flags else []
+        }