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https://github.com/Abdulazizzn/n8n-enterprise-unlocked.git
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feat(Google Gemini Chat Model Node): Add support for new Google Gemini models (#9130)
Signed-off-by: Oleg Ivaniv <me@olegivaniv.com> Co-authored-by: Michael Kret <michael.k@radency.com>
This commit is contained in:
oleg
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/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
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import {
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NodeConnectionType,
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type IExecuteFunctions,
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type INodeType,
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type INodeTypeDescription,
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type SupplyData,
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} from 'n8n-workflow';
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import { ChatGoogleGenerativeAI } from '@langchain/google-genai';
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import type { HarmBlockThreshold, HarmCategory, SafetySetting } from '@google/generative-ai';
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import { logWrapper } from '../../../utils/logWrapper';
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import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
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import { harmCategories, harmThresholds } from './options';
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export class LmChatGoogleGemini implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Google Gemini Chat Model',
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// eslint-disable-next-line n8n-nodes-base/node-class-description-name-miscased
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name: 'lmChatGoogleGemini',
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icon: 'file:google.svg',
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group: ['transform'],
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version: 1,
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description: 'Chat Model Google Gemini',
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defaults: {
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name: 'Google Gemini 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'],
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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.lmchatgooglegemini/',
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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.AiLanguageModel],
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outputNames: ['Model'],
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credentials: [
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{
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name: 'googlePalmApi',
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required: true,
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},
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],
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requestDefaults: {
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ignoreHttpStatusErrors: true,
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baseURL: '={{ $credentials.host }}',
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},
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properties: [
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getConnectionHintNoticeField([NodeConnectionType.AiChain, NodeConnectionType.AiAgent]),
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{
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displayName: 'Model',
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name: 'modelName',
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type: 'options',
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description:
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'The model which will generate the completion. <a href="https://developers.generativeai.google/api/rest/generativelanguage/models/list">Learn more</a>.',
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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: '/v1beta/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: 'models',
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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.name.includes('embedding') }}",
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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: '={{$responseItem.name}}',
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value: '={{$responseItem.name}}',
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description: '={{$responseItem.description}}',
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},
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},
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{
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type: 'sort',
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properties: {
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key: 'name',
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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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default: 'models/gemini-1.0-pro',
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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: 'maxOutputTokens',
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default: 2048,
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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: 0.4,
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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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displayName: 'Top K',
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name: 'topK',
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default: 32,
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typeOptions: { maxValue: 40, minValue: -1, numberPrecision: 1 },
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description:
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'Used to remove "long tail" low probability responses. Defaults to -1, which disables it.',
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type: 'number',
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},
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{
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displayName: 'Top P',
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name: 'topP',
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default: 1,
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typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
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description:
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'Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered. We generally recommend altering this or temperature but not both.',
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type: 'number',
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},
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// Safety Settings
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{
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displayName: 'Safety Settings',
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name: 'safetySettings',
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type: 'fixedCollection',
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typeOptions: { multipleValues: true },
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default: {
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values: {
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category: harmCategories[0].name as HarmCategory,
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threshold: harmThresholds[0].name as HarmBlockThreshold,
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},
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},
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placeholder: 'Add Option',
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options: [
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{
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name: 'values',
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displayName: 'Values',
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values: [
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{
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displayName: 'Safety Category',
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name: 'category',
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type: 'options',
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description: 'The category of harmful content to block',
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default: 'HARM_CATEGORY_UNSPECIFIED',
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options: harmCategories,
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},
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{
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displayName: 'Safety Threshold',
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name: 'threshold',
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type: 'options',
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description: 'The threshold of harmful content to block',
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default: 'HARM_BLOCK_THRESHOLD_UNSPECIFIED',
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options: harmThresholds,
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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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],
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};
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async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
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const credentials = await this.getCredentials('googlePalmApi');
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const modelName = this.getNodeParameter('modelName', itemIndex) as string;
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const options = this.getNodeParameter('options', itemIndex, {
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maxOutputTokens: 1024,
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temperature: 0.7,
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topK: 40,
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topP: 0.9,
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}) as {
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maxOutputTokens: number;
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temperature: number;
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topK: number;
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topP: number;
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};
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const safetySettings = this.getNodeParameter(
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'options.safetySettings.values',
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itemIndex,
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null,
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) as SafetySetting[];
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const model = new ChatGoogleGenerativeAI({
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apiKey: credentials.apiKey as string,
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modelName,
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topK: options.topK,
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topP: options.topP,
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temperature: options.temperature,
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maxOutputTokens: options.maxOutputTokens,
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safetySettings,
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});
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return {
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response: logWrapper(model, this),
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};
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}
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}
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