@n8n/n8n-nodes-langchain
Version:
44 lines • 1.97 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.openAiFailedAttemptHandler = void 0;
exports.getCustomErrorMessage = getCustomErrorMessage;
exports.isOpenAiError = isOpenAiError;
const n8n_workflow_1 = require("n8n-workflow");
const openai_1 = require("openai");
const error_1 = require("openai/error");
const errorMap = {
insufficient_quota: 'Insufficient quota detected. <a href="https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai/common-issues/#insufficient-quota" target="_blank">Learn more</a> about resolving this issue',
rate_limit_exceeded: 'OpenAI: Rate limit reached',
};
function getCustomErrorMessage(errorCode) {
return errorMap[errorCode];
}
function isOpenAiError(error) {
return error instanceof error_1.OpenAIError;
}
function isNonChatModelError(error) {
if (typeof error !== 'object' || error === null) {
return false;
}
return ('status' in error &&
error.status === 404 &&
'type' in error &&
error.type === 'invalid_request_error' &&
'param' in error &&
error.param === 'model' &&
'message' in error &&
typeof error.message === 'string' &&
error.message.includes('not a chat model'));
}
const openAiFailedAttemptHandler = (error) => {
if (isNonChatModelError(error)) {
throw new n8n_workflow_1.OperationalError('This model requires the Responses API. Enable "Use Responses API" in the OpenAI Chat Model node options to use this model.', { cause: error });
}
if (error instanceof openai_1.RateLimitError) {
const errorCode = error?.code;
const errorMessage = getCustomErrorMessage(errorCode ?? 'rate_limit_exceeded') ?? errorMap.rate_limit_exceeded;
throw new n8n_workflow_1.OperationalError(errorMessage, { cause: error });
}
};
exports.openAiFailedAttemptHandler = openAiFailedAttemptHandler;
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