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https://github.com/Abdulazizzn/n8n-enterprise-unlocked.git
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refactor: Migrate NodeConnectionType to const object type (no-changelog) (#14078)
Co-authored-by: कारतोफ्फेलस्क्रिप्ट™ <aditya@netroy.in>
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@@ -3,8 +3,8 @@ import {
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HumanMessagePromptTemplate,
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SystemMessagePromptTemplate,
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} from '@langchain/core/prompts';
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import type { IDataObject, INodeProperties } from 'n8n-workflow';
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import { NodeConnectionType } from 'n8n-workflow';
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import type { IDataObject, INodeInputConfiguration, INodeProperties } from 'n8n-workflow';
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import { NodeConnectionTypes } from 'n8n-workflow';
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import { promptTypeOptions, textFromPreviousNode } from '@utils/descriptions';
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import { getTemplateNoticeField } from '@utils/sharedFields';
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@@ -13,7 +13,7 @@ import { getTemplateNoticeField } from '@utils/sharedFields';
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* Dynamic input configuration generation based on node parameters
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*/
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export function getInputs(parameters: IDataObject) {
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const inputs = [
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const inputs: INodeInputConfiguration[] = [
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{ displayName: '', type: 'main' },
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{
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displayName: 'Model',
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@@ -260,7 +260,7 @@ export const nodeProperties: INodeProperties[] = [
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],
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},
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{
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displayName: `Connect an <a data-action='openSelectiveNodeCreator' data-action-parameter-connectiontype='${NodeConnectionType.AiOutputParser}'>output parser</a> on the canvas to specify the output format you require`,
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displayName: `Connect an <a data-action='openSelectiveNodeCreator' data-action-parameter-connectiontype='${NodeConnectionTypes.AiOutputParser}'>output parser</a> on the canvas to specify the output format you require`,
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name: 'notice',
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type: 'notice',
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default: '',
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@@ -3,7 +3,7 @@ import { HumanMessage } from '@langchain/core/messages';
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import { ChatGoogleGenerativeAI } from '@langchain/google-genai';
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import { ChatOllama } from '@langchain/ollama';
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import type { IExecuteFunctions, IBinaryData } from 'n8n-workflow';
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import { NodeOperationError, NodeConnectionType, OperationalError } from 'n8n-workflow';
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import { NodeOperationError, NodeConnectionTypes, OperationalError } from 'n8n-workflow';
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import type { MessageTemplate } from './types';
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@@ -69,7 +69,7 @@ export async function createImageMessage({
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const bufferData = await context.helpers.getBinaryDataBuffer(itemIndex, binaryDataKey);
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const model = (await context.getInputConnectionData(
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NodeConnectionType.AiLanguageModel,
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NodeConnectionTypes.AiLanguageModel,
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0,
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)) as BaseLanguageModel;
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