mirror of
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237 lines
6.9 KiB
TypeScript
237 lines
6.9 KiB
TypeScript
/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
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import type {
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IExecuteFunctions,
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INodeType,
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INodeTypeDescription,
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SupplyData,
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ExecutionError,
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} from 'n8n-workflow';
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import { NodeConnectionType, NodeOperationError } from 'n8n-workflow';
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import type { Sandbox } from 'n8n-nodes-base/dist/nodes/Code/Sandbox';
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import { getSandboxContext } from 'n8n-nodes-base/dist/nodes/Code/Sandbox';
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import { JavaScriptSandbox } from 'n8n-nodes-base/dist/nodes/Code/JavaScriptSandbox';
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import { PythonSandbox } from 'n8n-nodes-base/dist/nodes/Code/PythonSandbox';
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import { DynamicTool } from '@langchain/core/tools';
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import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
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export class ToolCode implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Custom Code Tool',
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name: 'toolCode',
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icon: 'fa:code',
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group: ['transform'],
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version: [1, 1.1],
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description: 'Write a tool in JS or Python',
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defaults: {
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name: 'Custom Code Tool',
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},
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codex: {
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categories: ['AI'],
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subcategories: {
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AI: ['Tools'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolcode/',
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},
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],
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},
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},
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// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
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inputs: [],
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// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
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outputs: [NodeConnectionType.AiTool],
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outputNames: ['Tool'],
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properties: [
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getConnectionHintNoticeField([NodeConnectionType.AiAgent]),
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{
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displayName:
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'See an example of a conversational agent with custom tool written in JavaScript <a href="/templates/1963" target="_blank">here</a>.',
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name: 'noticeTemplateExample',
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type: 'notice',
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default: '',
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},
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{
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displayName: 'Name',
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name: 'name',
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type: 'string',
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default: '',
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placeholder: 'My_Tool',
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displayOptions: {
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show: {
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'@version': [1],
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},
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},
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},
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{
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displayName: 'Name',
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name: 'name',
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type: 'string',
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default: '',
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placeholder: 'e.g. My_Tool',
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validateType: 'string-alphanumeric',
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description:
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'The name of the function to be called, could contain letters, numbers, and underscores only',
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displayOptions: {
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show: {
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'@version': [{ _cnd: { gte: 1.1 } }],
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},
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},
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},
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{
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displayName: 'Description',
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name: 'description',
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type: 'string',
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default: '',
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placeholder:
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'Call this tool to get a random color. The input should be a string with comma separted names of colors to exclude.',
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typeOptions: {
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rows: 3,
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},
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},
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{
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displayName: 'Language',
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name: 'language',
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type: 'options',
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noDataExpression: true,
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options: [
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{
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name: 'JavaScript',
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value: 'javaScript',
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},
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{
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name: 'Python (Beta)',
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value: 'python',
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},
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],
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default: 'javaScript',
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},
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{
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displayName: 'JavaScript',
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name: 'jsCode',
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type: 'string',
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displayOptions: {
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show: {
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language: ['javaScript'],
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},
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},
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typeOptions: {
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editor: 'jsEditor',
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},
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default:
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'// Example: convert the incoming query to uppercase and return it\nreturn query.toUpperCase()',
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// TODO: Add proper text here later
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hint: 'You can access the input the tool receives via the input property "query". The returned value should be a single string.',
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// eslint-disable-next-line n8n-nodes-base/node-param-description-missing-final-period
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description: 'E.g. Converts any text to uppercase',
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noDataExpression: true,
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},
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{
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displayName: 'Python',
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name: 'pythonCode',
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type: 'string',
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displayOptions: {
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show: {
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language: ['python'],
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},
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},
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typeOptions: {
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editor: 'codeNodeEditor', // TODO: create a separate `pythonEditor` component
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editorLanguage: 'python',
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},
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default:
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'# Example: convert the incoming query to uppercase and return it\nreturn query.upper()',
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// TODO: Add proper text here later
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hint: 'You can access the input the tool receives via the input property "query". The returned value should be a single string.',
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// eslint-disable-next-line n8n-nodes-base/node-param-description-missing-final-period
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description: 'E.g. Converts any text to uppercase',
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noDataExpression: true,
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},
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],
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};
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async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
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const node = this.getNode();
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const workflowMode = this.getMode();
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const name = this.getNodeParameter('name', itemIndex) as string;
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const description = this.getNodeParameter('description', itemIndex) as string;
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const language = this.getNodeParameter('language', itemIndex) as string;
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let code = '';
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if (language === 'javaScript') {
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code = this.getNodeParameter('jsCode', itemIndex) as string;
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} else {
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code = this.getNodeParameter('pythonCode', itemIndex) as string;
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}
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const getSandbox = (query: string, index = 0) => {
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const context = getSandboxContext.call(this, index);
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context.query = query;
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let sandbox: Sandbox;
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if (language === 'javaScript') {
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sandbox = new JavaScriptSandbox(context, code, index, this.helpers);
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} else {
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sandbox = new PythonSandbox(context, code, index, this.helpers);
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}
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sandbox.on(
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'output',
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workflowMode === 'manual'
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? this.sendMessageToUI.bind(this)
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: (...args: unknown[]) =>
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console.log(`[Workflow "${this.getWorkflow().id}"][Node "${node.name}"]`, ...args),
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);
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return sandbox;
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};
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const runFunction = async (query: string): Promise<string> => {
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const sandbox = getSandbox(query, itemIndex);
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return await (sandbox.runCode() as Promise<string>);
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};
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return {
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response: new DynamicTool({
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name,
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description,
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func: async (query: string): Promise<string> => {
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const { index } = this.addInputData(NodeConnectionType.AiTool, [[{ json: { query } }]]);
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let response: string = '';
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let executionError: ExecutionError | undefined;
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try {
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response = await runFunction(query);
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} catch (error: unknown) {
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executionError = error as ExecutionError;
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response = `There was an error: "${executionError.message}"`;
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}
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if (typeof response === 'number') {
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response = (response as number).toString();
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}
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if (typeof response !== 'string') {
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// TODO: Do some more testing. Issues here should actually fail the workflow
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executionError = new NodeOperationError(this.getNode(), 'Wrong output type returned', {
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description: `The response property should be a string, but it is an ${typeof response}`,
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});
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response = `There was an error: "${executionError.message}"`;
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}
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if (executionError) {
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void this.addOutputData(NodeConnectionType.AiTool, index, executionError);
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} else {
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void this.addOutputData(NodeConnectionType.AiTool, index, [[{ json: { response } }]]);
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}
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return response;
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},
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}),
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};
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}
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}
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