Handle percentage as int

frigate/data_processing/post/types.py

@@ -15,7 +15,6 @@ class ReviewMetadata(BaseModel):
     )
     confidence: float = Field(
         ge=0.0,
-        le=1.0,
         description="Confidence in the analysis, from 0 to 1.",
     )
     potential_threat_level: int = Field(

frigate/genai/__init__.py

@@ -181,6 +181,10 @@ Each line represents a detection state, not necessarily unique individuals. Pare
             try:
                 metadata = ReviewMetadata.model_validate_json(clean_json)
 
+                # Normalize confidence if model returned a percentage (e.g. 85 instead of 0.85)
+                if metadata.confidence > 1.0:
+                    metadata.confidence = min(metadata.confidence / 100.0, 1.0)
+
                 # If any verified objects (contain parentheses with name), set to 0
                 if any("(" in obj for obj in review_data["unified_objects"]):
                     metadata.potential_threat_level = 0