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@@ -0,0 +1,157 @@
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import { ChatGroq } from '@langchain/groq';
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import {
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getProxyAgent,
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makeN8nLlmFailedAttemptHandler,
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N8nLlmTracing,
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getConnectionHintNoticeField,
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} from '@n8n/ai-utilities';
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import {
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NodeConnectionTypes,
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type INodeType,
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type INodeTypeDescription,
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type ISupplyDataFunctions,
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type SupplyData,
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} from 'n8n-workflow';
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export class LmChatGroq implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Groq Chat Model',
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name: 'lmChatGroq',
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icon: 'file:groq.svg',
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group: ['transform'],
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version: 1,
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description: 'Language Model Groq',
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defaults: {
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name: 'Groq Chat Model',
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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: ['Language Models', 'Root Nodes'],
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'Language Models': ['Chat Models (Recommended)'],
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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.lmchatgroq/',
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},
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],
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},
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},
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inputs: [],
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outputs: [NodeConnectionTypes.AiLanguageModel],
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outputNames: ['Model'],
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credentials: [
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{
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name: 'groqApi',
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required: true,
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},
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],
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requestDefaults: {
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baseURL: 'https://api.groq.com/openai/v1',
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},
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properties: [
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getConnectionHintNoticeField([NodeConnectionTypes.AiChain, NodeConnectionTypes.AiChain]),
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{
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displayName: 'Model',
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name: 'model',
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type: 'options',
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typeOptions: {
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loadOptions: {
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routing: {
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request: {
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method: 'GET',
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url: '/models',
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},
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output: {
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postReceive: [
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{
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type: 'rootProperty',
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properties: {
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property: 'data',
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},
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},
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{
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type: 'filter',
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properties: {
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pass: '={{ $responseItem.active === true && $responseItem.object === "model" }}',
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},
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},
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{
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type: 'setKeyValue',
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properties: {
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name: '={{$responseItem.id}}',
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value: '={{$responseItem.id}}',
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},
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},
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],
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},
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},
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},
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},
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routing: {
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send: {
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type: 'body',
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property: 'model',
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},
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},
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description:
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'The model which will generate the completion. <a href="https://console.groq.com/docs/models">Learn more</a>.',
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default: 'llama3-8b-8192',
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},
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{
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displayName: 'Options',
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name: 'options',
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placeholder: 'Add Option',
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description: 'Additional options to add',
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type: 'collection',
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default: {},
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options: [
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{
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displayName: 'Maximum Number of Tokens',
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name: 'maxTokensToSample',
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default: 4096,
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description: 'The maximum number of tokens to generate in the completion',
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type: 'number',
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},
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{
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displayName: 'Sampling Temperature',
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name: 'temperature',
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default: 0.7,
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typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
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description:
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'Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.',
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type: 'number',
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},
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],
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},
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],
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};
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async supplyData(this: ISupplyDataFunctions, itemIndex: number): Promise<SupplyData> {
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const credentials = await this.getCredentials('groqApi');
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const modelName = this.getNodeParameter('model', itemIndex) as string;
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const options = this.getNodeParameter('options', itemIndex, {}) as {
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maxTokensToSample?: number;
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temperature: number;
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};
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const model = new ChatGroq({
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apiKey: credentials.apiKey as string,
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model: modelName,
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maxTokens: options.maxTokensToSample,
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temperature: options.temperature,
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callbacks: [new N8nLlmTracing(this)],
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httpAgent: getProxyAgent('https://api.groq.com/openai/v1'),
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onFailedAttempt: makeN8nLlmFailedAttemptHandler(this),
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});
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return {
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response: model,
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};
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}
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}
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