feat: add detailed logging for input types in inference data processing

utils/hf_logger.py

@@ -85,6 +85,14 @@ def log_inference_data(
             "human_feedback": human_feedback if human_feedback is not None else {}
         }
         
+        logger.info(f"Type of original_image_b64: {type(original_image_b64)}")
+        logger.info(f"Type of inference_params: {type(inference_params)}")
+        logger.info(f"Type of model_predictions: {type(model_predictions)}")
+        logger.info(f"Type of ensemble_output: {type(ensemble_output)}")
+        logger.info(f"Type of forensic_images_b64: {type(forensic_images_b64)}")
+        logger.info(f"Type of agent_monitoring_data: {type(agent_monitoring_data)}")
+        logger.info(f"Type of human_feedback: {type(human_feedback)}")
+        
         # Append the new entry
         # Note: Directly appending might not be efficient for large datasets or frequent logging
         # For a production system, consider batched writes or more robust data pipelines.