feat(Groq Chat Model Node): Add support for Groq chat models (#9250)

Signed-off-by: Oleg Ivaniv <me@olegivaniv.com> Co-authored-by: Michael Kret <michael.k@radency.com>
2025-12-18 02:21:13 +00:00 · 2024-04-30 09:37:30 +02:00
parent abae63574b
commit 96f02bd655
7 changed files with 276 additions and 3 deletions
--- a/packages/@n8n/nodes-langchain/nodes/llms/LmChatGroq/LmChatGroq.node.ts
+++ b/packages/@n8n/nodes-langchain/nodes/llms/LmChatGroq/LmChatGroq.node.ts
@@ -0,0 +1,151 @@
+/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
+import {
+	NodeConnectionType,
+	type IExecuteFunctions,
+	type INodeType,
+	type INodeTypeDescription,
+	type SupplyData,
+} from 'n8n-workflow';
+
+import { ChatGroq } from '@langchain/groq';
+import { logWrapper } from '../../../utils/logWrapper';
+import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
+
+export class LmChatGroq implements INodeType {
+	description: INodeTypeDescription = {
+		displayName: 'Groq Chat Model',
+		// eslint-disable-next-line n8n-nodes-base/node-class-description-name-miscased
+		name: 'lmChatGroq',
+		icon: 'file:groq.svg',
+		group: ['transform'],
+		version: 1,
+		description: 'Language Model Groq',
+		defaults: {
+			name: 'Groq Chat Model',
+		},
+		codex: {
+			categories: ['AI'],
+			subcategories: {
+				AI: ['Language Models'],
+			},
+			resources: {
+				primaryDocumentation: [
+					{
+						url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgroq/',
+					},
+				],
+			},
+		},
+		// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
+		inputs: [],
+		// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
+		outputs: [NodeConnectionType.AiLanguageModel],
+		outputNames: ['Model'],
+		credentials: [
+			{
+				name: 'groqApi',
+				required: true,
+			},
+		],
+		requestDefaults: {
+			baseURL: 'https://api.groq.com/openai/v1',
+		},
+		properties: [
+			getConnectionHintNoticeField([NodeConnectionType.AiChain, NodeConnectionType.AiChain]),
+			{
+				displayName: 'Model',
+				name: 'model',
+				type: 'options',
+				typeOptions: {
+					loadOptions: {
+						routing: {
+							request: {
+								method: 'GET',
+								url: '/models',
+							},
+							output: {
+								postReceive: [
+									{
+										type: 'rootProperty',
+										properties: {
+											property: 'data',
+										},
+									},
+									{
+										type: 'filter',
+										properties: {
+											pass: '={{ $responseItem.active === true && $responseItem.object === "model" }}',
+										},
+									},
+									{
+										type: 'setKeyValue',
+										properties: {
+											name: '={{$responseItem.id}}',
+											value: '={{$responseItem.id}}',
+										},
+									},
+								],
+							},
+						},
+					},
+				},
+				routing: {
+					send: {
+						type: 'body',
+						property: 'model',
+					},
+				},
+				description:
+					'The model which will generate the completion. <a href="https://console.groq.com/docs/models">Learn more</a>.',
+				default: 'llama3-8b-8192',
+			},
+			{
+				displayName: 'Options',
+				name: 'options',
+				placeholder: 'Add Option',
+				description: 'Additional options to add',
+				type: 'collection',
+				default: {},
+				options: [
+					{
+						displayName: 'Maximum Number of Tokens',
+						name: 'maxTokensToSample',
+						default: 4096,
+						description: 'The maximum number of tokens to generate in the completion',
+						type: 'number',
+					},
+					{
+						displayName: 'Sampling Temperature',
+						name: 'temperature',
+						default: 0.7,
+						typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
+						description:
+							'Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.',
+						type: 'number',
+					},
+				],
+			},
+		],
+	};
+
+	async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
+		const credentials = await this.getCredentials('groqApi');
+
+		const modelName = this.getNodeParameter('model', itemIndex) as string;
+		const options = this.getNodeParameter('options', itemIndex, {}) as {
+			maxTokensToSample?: number;
+			temperature: number;
+		};
+
+		const model = new ChatGroq({
+			apiKey: credentials.apiKey as string,
+			modelName,
+			maxTokens: options.maxTokensToSample,
+			temperature: options.temperature,
+		});
+
+		return {
+			response: logWrapper(model, this),
+		};
+	}
+}