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make error message clear for empty response #264

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make error message clear for empty response #264

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a08b5b2
make error message clear for empty response
forhad-hosain Nov 26, 2025
2ee5f5f
include the field name in error message for empty response
forhad-hosain Nov 26, 2025
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32 changes: 21 additions & 11 deletions packages/core/src/Components/GenAILLM.class.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -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) {
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