diff --git a/packages/core/src/Components/GenAILLM.class.ts b/packages/core/src/Components/GenAILLM.class.ts
index 3b3954c9..30541927 100644
--- a/packages/core/src/Components/GenAILLM.class.ts
+++ b/packages/core/src/Components/GenAILLM.class.ts
@@ -528,26 +528,36 @@ export class GenAILLM extends Component {
             response = await contentPromise.catch((error) => {
                 return { error: error.message || error };
             });
-            // If the model stopped before completing the response, this is usually due to output token limit reached.
+
+            // #region Handle Response Errors
+            if (response?.error) {
+                const error = response?.error + ' ' + (response?.details || '');
+                logger.error(` LLM Error=`, error);
+
+                return { Output: response?.data, _error: error, _debug: logger.output };
+            }
+
+            const emptyResponseErrorMsg =
+                "Empty response. This is usually due to output token limit reached. Please try again with a higher 'Maximum Output Tokens'.";
+
+            // If the finish reason is not "stop", it means the model stopped before completing the response.
             if (finishReason !== 'stop') {
+                let errMsg = `The model stopped before completing the response.
+                \nReason: ${finishReason}.
+                \n${!response ? emptyResponseErrorMsg : ''}`;
+
                 return {
                     Reply: response,
-                    _error: 'The model stopped before completing the response, this is usually due to output token limit reached.',
+                    _error: errMsg,
                     _debug: logger.output,
                 };
             }
 
-            // in case we have the response but it's empty string, undefined or null
+            // If the finish reason is "stop" but there is still no response, it is usually caused by reaching the output token limit.
             if (!response) {
-                return { _error: ' LLM Error = Empty Response!', _debug: logger.output };
-            }
-
-            if (response?.error) {
-                const error = response?.error + ' ' + (response?.details || '');
-                logger.error(` LLM Error=`, error);
-
-                return { Output: response?.data, _error: error, _debug: logger.output };
+                return { _error: emptyResponseErrorMsg, _debug: logger.output };
             }
+            // #endregion
 
             const Reply = llmInference.connector.postProcess(response);
             if (Reply.error) {