diff --git a/backend/app/services/llm_service.py b/backend/app/services/llm_service.py
index ebbdaf36..19e26fe2 100755
--- a/backend/app/services/llm_service.py
+++ b/backend/app/services/llm_service.py
@@ -300,9 +300,17 @@ class LLMService:
             except Exception as e:
                 # Fallback for OpenAI and other non-Google errors
                 last_error = e
-                error_message = str(e).lower()
+                # Debug: capture full exception details
+                exc_type = type(e).__name__
+                exc_module = type(e).__module__
+                exc_str = str(e)
+                exc_repr = repr(e)
+                exc_args = getattr(e, 'args', ())
+                exc_dict = getattr(e, '__dict__', {})
 
-                logger.warning(f"LLM attempt {attempt_num}/{max_retries} failed: {str(e)}")
+                logger.warning(f"LLM attempt {attempt_num}/{max_retries} failed - Type: {exc_module}.{exc_type}, str: '{exc_str}', repr: {exc_repr}, args: {exc_args}, dict: {exc_dict}")
+
+                error_message = exc_str.lower() if exc_str else exc_repr.lower()
 
                 # Check if this is a retryable error (API internal errors, rate limiting, etc.)
                 if ("500" in error_message or
@@ -331,7 +339,8 @@ class LLMService:
             error_msg = getattr(last_error, 'message', str(last_error)) or str(last_error) or repr(last_error)
             error_detail = f"[Google API {error_code}] {error_msg}"
         else:
-            error_detail = str(last_error)
+            # Use repr if str is empty
+            error_detail = str(last_error) or repr(last_error) or f"{type(last_error).__module__}.{type(last_error).__name__}: {getattr(last_error, 'args', ())}"
         logger.error(f"LLM content generation failed after {max_retries} attempts. Final error: {error_detail}")
         raise LLMServiceError(f"Error generating content: {error_detail}")