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packages/@n8n/nodes-langchain/nodes/llms/LmChatGoogleGemini/LmChatGoogleGemini.node.ts

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+import type { SafetySetting } from '@google/generative-ai';
+import { ChatGoogleGenerativeAI } from '@langchain/google-genai';
+import { NodeConnectionTypes } from 'n8n-workflow';
+import type {
+	NodeError,
+	INodeType,
+	INodeTypeDescription,
+	ISupplyDataFunctions,
+	SupplyData,
+} from 'n8n-workflow';
+
+import { getAdditionalOptions } from '../gemini-common/additional-options';
+import {
+	makeN8nLlmFailedAttemptHandler,
+	N8nLlmTracing,
+	getConnectionHintNoticeField,
+} from '@n8n/ai-utilities';
+
+function errorDescriptionMapper(error: NodeError) {
+	if (error.description?.includes('properties: should be non-empty for OBJECT type')) {
+		return 'Google Gemini requires at least one <a href="https://docs.n8n.io/advanced-ai/examples/using-the-fromai-function/" target="_blank">dynamic parameter</a> when using tools';
+	}
+
+	return error.description ?? 'Unknown error';
+}
+export class LmChatGoogleGemini implements INodeType {
+	description: INodeTypeDescription = {
+		displayName: 'Google Gemini Chat Model',
+
+		name: 'lmChatGoogleGemini',
+		icon: 'file:google.svg',
+		group: ['transform'],
+		version: 1,
+		description: 'Chat Model Google Gemini',
+		defaults: {
+			name: 'Google Gemini Chat Model',
+		},
+		codex: {
+			categories: ['AI'],
+			subcategories: {
+				AI: ['Language Models', 'Root Nodes'],
+				'Language Models': ['Chat Models (Recommended)'],
+			},
+			resources: {
+				primaryDocumentation: [
+					{
+						url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/',
+					},
+				],
+			},
+		},
+
+		inputs: [],
+
+		outputs: [NodeConnectionTypes.AiLanguageModel],
+		outputNames: ['Model'],
+		credentials: [
+			{
+				name: 'googlePalmApi',
+				required: true,
+			},
+		],
+		requestDefaults: {
+			ignoreHttpStatusErrors: true,
+			baseURL: '={{ $credentials.host }}',
+		},
+		properties: [
+			getConnectionHintNoticeField([NodeConnectionTypes.AiChain, NodeConnectionTypes.AiAgent]),
+			{
+				displayName: 'Model',
+				name: 'modelName',
+				type: 'options',
+				description:
+					'The model which will generate the completion. <a href="https://developers.generativeai.google/api/rest/generativelanguage/models/list">Learn more</a>.',
+				typeOptions: {
+					loadOptions: {
+						routing: {
+							request: {
+								method: 'GET',
+								url: '/v1beta/models',
+							},
+							output: {
+								postReceive: [
+									{
+										type: 'rootProperty',
+										properties: {
+											property: 'models',
+										},
+									},
+									{
+										type: 'filter',
+										properties: {
+											pass: "={{ !$responseItem.name.includes('embedding') }}",
+										},
+									},
+									{
+										type: 'setKeyValue',
+										properties: {
+											name: '={{$responseItem.name}}',
+											value: '={{$responseItem.name}}',
+											description: '={{$responseItem.description}}',
+										},
+									},
+									{
+										type: 'sort',
+										properties: {
+											key: 'name',
+										},
+									},
+								],
+							},
+						},
+					},
+				},
+				routing: {
+					send: {
+						type: 'body',
+						property: 'model',
+					},
+				},
+				default: 'models/gemini-2.5-flash',
+			},
+			// thinking budget not supported in @langchain/google-genai
+			// as it utilises the old google generative ai SDK
+			getAdditionalOptions({ supportsThinkingBudget: false }),
+		],
+	};
+
+	async supplyData(this: ISupplyDataFunctions, itemIndex: number): Promise<SupplyData> {
+		const credentials = await this.getCredentials('googlePalmApi');
+
+		const modelName = this.getNodeParameter('modelName', itemIndex) as string;
+		const options = this.getNodeParameter('options', itemIndex, {
+			maxOutputTokens: 1024,
+			temperature: 0.7,
+			topK: 40,
+			topP: 0.9,
+		}) as {
+			maxOutputTokens: number;
+			temperature: number;
+			topK: number;
+			topP: number;
+		};
+
+		const safetySettings = this.getNodeParameter(
+			'options.safetySettings.values',
+			itemIndex,
+			null,
+		) as SafetySetting[];
+
+		const model = new ChatGoogleGenerativeAI({
+			apiKey: credentials.apiKey as string,
+			baseUrl: credentials.host as string,
+			model: modelName,
+			topK: options.topK,
+			topP: options.topP,
+			temperature: options.temperature,
+			maxOutputTokens: options.maxOutputTokens,
+			safetySettings,
+			callbacks: [new N8nLlmTracing(this, { errorDescriptionMapper })],
+			onFailedAttempt: makeN8nLlmFailedAttemptHandler(this),
+		});
+
+		return {
+			response: model,
+		};
+	}
+}

packages/@n8n/nodes-langchain/nodes/llms/LmChatGoogleGemini/google.svg

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