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feat(Alibaba Cloud Chat Model Node): Add new node (#27882)
This commit is contained in:
Dawid Myslak
@@ -0,0 +1,86 @@
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import type {
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IAuthenticateGeneric,
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ICredentialTestRequest,
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ICredentialType,
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INodeProperties,
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} from 'n8n-workflow';
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import { BASE_URL_EXPRESSION } from '../nodes/llms/LmChatAlibabaCloud/alibaba-cloud-base-url';
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export class AlibabaCloudApi implements ICredentialType {
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name = 'alibabaCloudApi';
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displayName = 'Alibaba Cloud';
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documentationUrl = 'alibaba';
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properties: INodeProperties[] = [
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{
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displayName: 'API Key',
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name: 'apiKey',
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type: 'string',
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typeOptions: { password: true },
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required: true,
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default: '',
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},
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{
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displayName: 'Region',
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name: 'region',
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type: 'options',
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default: 'ap-southeast-1',
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options: [
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{
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name: 'Singapore (International)',
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value: 'ap-southeast-1',
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},
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{
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name: 'US (Virginia)',
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value: 'us-east-1',
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},
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{
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name: 'China (Beijing)',
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value: 'cn-beijing',
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},
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{
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name: 'Hong Kong (China)',
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value: 'cn-hongkong',
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},
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{
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name: 'Germany (Frankfurt)',
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value: 'eu-central-1',
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},
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],
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description: 'The region for the Alibaba Cloud Model Studio API endpoint',
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},
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{
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displayName: 'Workspace ID',
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name: 'workspaceId',
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type: 'string',
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default: '',
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required: true,
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displayOptions: {
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show: {
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region: ['eu-central-1'],
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},
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},
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description:
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'The Workspace ID required for the Germany (Frankfurt) region. Find it in the Model Studio console under the Germany region settings.',
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},
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];
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authenticate: IAuthenticateGeneric = {
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type: 'generic',
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properties: {
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headers: {
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Authorization: '=Bearer {{$credentials.apiKey}}',
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},
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},
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};
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test: ICredentialTestRequest = {
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request: {
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baseURL: BASE_URL_EXPRESSION,
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url: '/models',
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},
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};
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}
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+272
@@ -0,0 +1,272 @@
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import { ChatOpenAI, type ClientOptions } from '@langchain/openai';
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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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NodeOperationError,
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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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import { BASE_URL_EXPRESSION, getBaseUrl } from './alibaba-cloud-base-url';
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import { openAiFailedAttemptHandler } from '../../vendors/OpenAi/helpers/error-handling';
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export class LmChatAlibabaCloud implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Alibaba Cloud Chat Model',
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name: 'lmChatAlibabaCloud',
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icon: 'file:alibaba.svg',
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group: ['transform'],
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version: [1],
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description: 'For advanced usage with an AI chain',
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defaults: {
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name: 'Alibaba Cloud 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.lmchatalibabacloud/',
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},
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],
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},
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alias: ['qwen', 'dashscope', 'alibaba', 'model studio'],
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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: 'alibabaCloudApi',
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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: BASE_URL_EXPRESSION,
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},
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properties: [
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getConnectionHintNoticeField([NodeConnectionTypes.AiChain, NodeConnectionTypes.AiAgent]),
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{
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displayName:
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'If using JSON response format, you must include word "json" in the prompt in your chain or agent.',
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name: 'notice',
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type: 'notice',
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default: '',
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displayOptions: {
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show: {
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'/options.responseFormat': ['json_object'],
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},
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},
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},
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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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description:
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'The model which will generate the completion. <a href="https://www.alibabacloud.com/help/en/model-studio/getting-started/models">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: '/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: '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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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: 'qwen-plus',
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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: 'Frequency Penalty',
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name: 'frequencyPenalty',
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default: 0,
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typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
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description:
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"Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim",
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type: 'number',
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},
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{
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displayName: 'Maximum Number of Tokens',
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name: 'maxTokens',
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default: -1,
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description:
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'The maximum number of tokens to generate in the completion. The limit depends on the selected model.',
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type: 'number',
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},
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{
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displayName: 'Response Format',
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name: 'responseFormat',
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default: 'text',
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type: 'options',
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options: [
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{
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name: 'Text',
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value: 'text',
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description: 'Regular text response',
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},
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{
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name: 'JSON',
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value: 'json_object',
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description:
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'Enables JSON mode, which should guarantee the message the model generates is valid JSON',
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},
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],
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},
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{
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displayName: 'Presence Penalty',
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name: 'presencePenalty',
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default: 0,
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typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
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description:
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"Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics",
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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: 2, 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: 'Timeout',
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name: 'timeout',
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default: 360000,
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description: 'Maximum amount of time a request is allowed to take in milliseconds',
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type: 'number',
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},
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{
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displayName: 'Max Retries',
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name: 'maxRetries',
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default: 2,
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description: 'Maximum number of retries to attempt',
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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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],
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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<{
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apiKey: string;
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region: string;
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workspaceId?: string;
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}>('alibabaCloudApi');
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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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frequencyPenalty?: number;
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maxTokens?: number;
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maxRetries: number;
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timeout: number;
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presencePenalty?: number;
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temperature?: number;
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topP?: number;
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responseFormat?: 'text' | 'json_object';
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};
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if (credentials.region === 'eu-central-1' && !credentials.workspaceId) {
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throw new NodeOperationError(
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this.getNode(),
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'Workspace ID is required for the Germany (Frankfurt) region',
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);
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}
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const baseURL = getBaseUrl(credentials.region, credentials.workspaceId);
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const timeout = options.timeout;
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const configuration: ClientOptions = {
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baseURL,
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fetchOptions: {
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dispatcher: getProxyAgent(baseURL, {
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headersTimeout: timeout,
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bodyTimeout: timeout,
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}),
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},
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};
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const model = new ChatOpenAI({
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apiKey: credentials.apiKey,
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model: modelName,
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...options,
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timeout,
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maxRetries: options.maxRetries ?? 2,
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configuration,
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callbacks: [new N8nLlmTracing(this)],
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modelKwargs: options.responseFormat
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? {
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response_format: { type: options.responseFormat },
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}
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: undefined,
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onFailedAttempt: makeN8nLlmFailedAttemptHandler(this, openAiFailedAttemptHandler),
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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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@@ -0,0 +1,14 @@
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export function getBaseUrl(region: string, workspaceId?: string): string {
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const urls: Record<string, string> = {
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'ap-southeast-1': 'https://dashscope-intl.aliyuncs.com/compatible-mode/v1',
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'us-east-1': 'https://dashscope-us.aliyuncs.com/compatible-mode/v1',
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'cn-beijing': 'https://dashscope.aliyuncs.com/compatible-mode/v1',
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'cn-hongkong': 'https://cn-hongkong.dashscope.aliyuncs.com/compatible-mode/v1',
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};
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if (region === 'eu-central-1') {
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return 'https://' + workspaceId + '.eu-central-1.maas.aliyuncs.com/compatible-mode/v1';
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}
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return urls[region] || urls['ap-southeast-1'];
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}
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export const BASE_URL_EXPRESSION = `={{ (${getBaseUrl.toString()})($credentials.region, $credentials.workspaceId) }}`;
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@@ -0,0 +1 @@
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<svg width="40" height="40" viewBox="0 0 24 24" fill-rule="evenodd" xmlns="http://www.w3.org/2000/svg"><title>Alibaba Cloud</title><path d="M14.752 4.64h5.274C22.242 4.64 24 6.475 24 8.691V15.8a3.947 3.947 0 01-3.974 3.975h-5.274l1.299-1.835 3.822-1.222c.688-.23 1.146-.918 1.146-1.605v-5.81c0-.687-.458-1.375-1.146-1.605L16.05 6.475l-1.3-1.835zM2.98 15.111c0 .688.46 1.376 1.147 1.606l3.822 1.146 1.3 1.835H3.974A3.947 3.947 0 010 15.723V8.69c0-2.216 1.758-4.05 3.975-4.05h5.273L7.95 6.474 4.127 7.697c-.688.23-1.146.918-1.146 1.606v5.808z" fill="#FF6A00"/><path d="M16.051 11.213H8.025v1.835h8.026v-1.835z" fill="#FF6A00"/></svg>
|
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|
After Width: | Height: | Size: 632 B |
+280
@@ -0,0 +1,280 @@
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/* eslint-disable n8n-nodes-base/node-filename-against-convention */
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/* eslint-disable @typescript-eslint/no-unsafe-assignment */
|
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/* eslint-disable @typescript-eslint/unbound-method */
|
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import { ChatOpenAI } from '@langchain/openai';
|
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import { makeN8nLlmFailedAttemptHandler, N8nLlmTracing, getProxyAgent } from '@n8n/ai-utilities';
|
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import { createMockExecuteFunction } from 'n8n-nodes-base/test/nodes/Helpers';
|
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import type { INode, ISupplyDataFunctions } from 'n8n-workflow';
|
||||
|
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import { LmChatAlibabaCloud } from '../LmChatAlibabaCloud.node';
|
||||
|
||||
jest.mock('@langchain/openai');
|
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jest.mock('@n8n/ai-utilities');
|
||||
|
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const MockedChatOpenAI = jest.mocked(ChatOpenAI);
|
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const MockedN8nLlmTracing = jest.mocked(N8nLlmTracing);
|
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const mockedMakeN8nLlmFailedAttemptHandler = jest.mocked(makeN8nLlmFailedAttemptHandler);
|
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const mockedGetProxyAgent = jest.mocked(getProxyAgent);
|
||||
|
||||
describe('LmChatAlibabaCloud', () => {
|
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let node: LmChatAlibabaCloud;
|
||||
|
||||
const mockNodeDef: INode = {
|
||||
id: '1',
|
||||
name: 'Alibaba Cloud Chat Model',
|
||||
typeVersion: 1,
|
||||
type: '@n8n/n8n-nodes-langchain.lmChatAlibabaCloud',
|
||||
position: [0, 0],
|
||||
parameters: {},
|
||||
};
|
||||
|
||||
const setupMockContext = (nodeOverrides: Partial<INode> = {}) => {
|
||||
const nodeDef = { ...mockNodeDef, ...nodeOverrides };
|
||||
const ctx = createMockExecuteFunction<ISupplyDataFunctions>(
|
||||
{},
|
||||
nodeDef,
|
||||
) as jest.Mocked<ISupplyDataFunctions>;
|
||||
|
||||
ctx.getCredentials = jest.fn().mockResolvedValue({
|
||||
apiKey: 'test-dashscope-key',
|
||||
region: 'ap-southeast-1',
|
||||
});
|
||||
ctx.getNode = jest.fn().mockReturnValue(nodeDef);
|
||||
ctx.getNodeParameter = jest.fn().mockImplementation((paramName: string) => {
|
||||
if (paramName === 'model') return 'qwen-plus';
|
||||
if (paramName === 'options') return {};
|
||||
return undefined;
|
||||
});
|
||||
|
||||
MockedN8nLlmTracing.mockImplementation(() => ({}) as unknown as N8nLlmTracing);
|
||||
mockedMakeN8nLlmFailedAttemptHandler.mockReturnValue(jest.fn());
|
||||
mockedGetProxyAgent.mockReturnValue({} as any);
|
||||
return ctx;
|
||||
};
|
||||
|
||||
beforeEach(() => {
|
||||
node = new LmChatAlibabaCloud();
|
||||
jest.clearAllMocks();
|
||||
});
|
||||
|
||||
describe('node description', () => {
|
||||
it('should have correct node properties', () => {
|
||||
expect(node.description).toMatchObject({
|
||||
displayName: 'Alibaba Cloud Chat Model',
|
||||
name: 'lmChatAlibabaCloud',
|
||||
group: ['transform'],
|
||||
version: [1],
|
||||
});
|
||||
});
|
||||
|
||||
it('should require alibabaCloudApi credentials', () => {
|
||||
expect(node.description.credentials).toEqual([{ name: 'alibabaCloudApi', required: true }]);
|
||||
});
|
||||
|
||||
it('should output ai_languageModel', () => {
|
||||
expect(node.description.outputs).toEqual(['ai_languageModel']);
|
||||
expect(node.description.outputNames).toEqual(['Model']);
|
||||
});
|
||||
});
|
||||
|
||||
describe('supplyData', () => {
|
||||
it('should create ChatOpenAI with DashScope base URL', async () => {
|
||||
const ctx = setupMockContext();
|
||||
|
||||
const result = await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(ctx.getCredentials).toHaveBeenCalledWith('alibabaCloudApi');
|
||||
expect(MockedChatOpenAI).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
apiKey: 'test-dashscope-key',
|
||||
model: 'qwen-plus',
|
||||
maxRetries: 2,
|
||||
callbacks: expect.arrayContaining([expect.any(Object)]),
|
||||
onFailedAttempt: expect.any(Function),
|
||||
configuration: expect.objectContaining({
|
||||
baseURL: 'https://dashscope-intl.aliyuncs.com/compatible-mode/v1',
|
||||
}),
|
||||
}),
|
||||
);
|
||||
expect(result).toEqual({ response: expect.any(Object) });
|
||||
});
|
||||
|
||||
it('should pass options to ChatOpenAI', async () => {
|
||||
const ctx = setupMockContext();
|
||||
ctx.getNodeParameter = jest.fn().mockImplementation((paramName: string) => {
|
||||
if (paramName === 'model') return 'qwen-turbo';
|
||||
if (paramName === 'options')
|
||||
return {
|
||||
temperature: 0.5,
|
||||
maxTokens: 2000,
|
||||
topP: 0.9,
|
||||
frequencyPenalty: 0.3,
|
||||
presencePenalty: 0.2,
|
||||
timeout: 60000,
|
||||
maxRetries: 5,
|
||||
};
|
||||
return undefined;
|
||||
});
|
||||
|
||||
await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(MockedChatOpenAI).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
model: 'qwen-turbo',
|
||||
temperature: 0.5,
|
||||
maxTokens: 2000,
|
||||
topP: 0.9,
|
||||
frequencyPenalty: 0.3,
|
||||
presencePenalty: 0.2,
|
||||
timeout: 60000,
|
||||
maxRetries: 5,
|
||||
}),
|
||||
);
|
||||
});
|
||||
|
||||
it('should set response_format in modelKwargs when responseFormat is provided', async () => {
|
||||
const ctx = setupMockContext();
|
||||
ctx.getNodeParameter = jest.fn().mockImplementation((paramName: string) => {
|
||||
if (paramName === 'model') return 'qwen-plus';
|
||||
if (paramName === 'options') return { responseFormat: 'json_object' };
|
||||
return undefined;
|
||||
});
|
||||
|
||||
await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(MockedChatOpenAI).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
modelKwargs: { response_format: { type: 'json_object' } },
|
||||
}),
|
||||
);
|
||||
});
|
||||
|
||||
it('should not set modelKwargs when no responseFormat', async () => {
|
||||
const ctx = setupMockContext();
|
||||
|
||||
await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(MockedChatOpenAI).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
modelKwargs: undefined,
|
||||
}),
|
||||
);
|
||||
});
|
||||
|
||||
it('should configure proxy agent with credentials URL', async () => {
|
||||
const ctx = setupMockContext();
|
||||
|
||||
await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(mockedGetProxyAgent).toHaveBeenCalledWith(
|
||||
'https://dashscope-intl.aliyuncs.com/compatible-mode/v1',
|
||||
expect.objectContaining({
|
||||
headersTimeout: undefined,
|
||||
bodyTimeout: undefined,
|
||||
}),
|
||||
);
|
||||
});
|
||||
|
||||
it('should configure proxy agent with custom timeout', async () => {
|
||||
const ctx = setupMockContext();
|
||||
ctx.getNodeParameter = jest.fn().mockImplementation((paramName: string) => {
|
||||
if (paramName === 'model') return 'qwen-plus';
|
||||
if (paramName === 'options') return { timeout: 120000 };
|
||||
return undefined;
|
||||
});
|
||||
|
||||
await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(mockedGetProxyAgent).toHaveBeenCalledWith(
|
||||
'https://dashscope-intl.aliyuncs.com/compatible-mode/v1',
|
||||
expect.objectContaining({
|
||||
headersTimeout: 120000,
|
||||
bodyTimeout: 120000,
|
||||
}),
|
||||
);
|
||||
});
|
||||
|
||||
it('should use US region base URL', async () => {
|
||||
const ctx = setupMockContext();
|
||||
ctx.getCredentials = jest.fn().mockResolvedValue({
|
||||
apiKey: 'test-key',
|
||||
region: 'us-east-1',
|
||||
});
|
||||
|
||||
await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(MockedChatOpenAI).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
configuration: expect.objectContaining({
|
||||
baseURL: 'https://dashscope-us.aliyuncs.com/compatible-mode/v1',
|
||||
}),
|
||||
}),
|
||||
);
|
||||
});
|
||||
|
||||
it('should use Frankfurt region base URL with workspace ID', async () => {
|
||||
const ctx = setupMockContext();
|
||||
ctx.getCredentials = jest.fn().mockResolvedValue({
|
||||
apiKey: 'test-key',
|
||||
region: 'eu-central-1',
|
||||
workspaceId: 'ws-abc123',
|
||||
});
|
||||
|
||||
await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(MockedChatOpenAI).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
configuration: expect.objectContaining({
|
||||
baseURL: 'https://ws-abc123.eu-central-1.maas.aliyuncs.com/compatible-mode/v1',
|
||||
}),
|
||||
}),
|
||||
);
|
||||
});
|
||||
|
||||
it('should use China (Beijing) region base URL', async () => {
|
||||
const ctx = setupMockContext();
|
||||
ctx.getCredentials = jest.fn().mockResolvedValue({
|
||||
apiKey: 'test-key',
|
||||
region: 'cn-beijing',
|
||||
});
|
||||
|
||||
await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(MockedChatOpenAI).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
configuration: expect.objectContaining({
|
||||
baseURL: 'https://dashscope.aliyuncs.com/compatible-mode/v1',
|
||||
}),
|
||||
}),
|
||||
);
|
||||
});
|
||||
|
||||
it('should use Hong Kong region base URL', async () => {
|
||||
const ctx = setupMockContext();
|
||||
ctx.getCredentials = jest.fn().mockResolvedValue({
|
||||
apiKey: 'test-key',
|
||||
region: 'cn-hongkong',
|
||||
});
|
||||
|
||||
await node.supplyData.call(ctx, 0);
|
||||
|
||||
expect(MockedChatOpenAI).toHaveBeenCalledWith(
|
||||
expect.objectContaining({
|
||||
configuration: expect.objectContaining({
|
||||
baseURL: 'https://cn-hongkong.dashscope.aliyuncs.com/compatible-mode/v1',
|
||||
}),
|
||||
}),
|
||||
);
|
||||
});
|
||||
|
||||
it('should throw when eu-central-1 is selected without workspaceId', async () => {
|
||||
const ctx = setupMockContext();
|
||||
ctx.getCredentials = jest.fn().mockResolvedValue({
|
||||
apiKey: 'test-key',
|
||||
region: 'eu-central-1',
|
||||
});
|
||||
|
||||
await expect(node.supplyData.call(ctx, 0)).rejects.toThrow('Workspace ID');
|
||||
});
|
||||
});
|
||||
});
|
||||
@@ -44,6 +44,7 @@
|
||||
"n8n": {
|
||||
"n8nNodesApiVersion": 1,
|
||||
"credentials": [
|
||||
"dist/credentials/AlibabaCloudApi.credentials.js",
|
||||
"dist/credentials/AnthropicApi.credentials.js",
|
||||
"dist/credentials/AzureAiSearchApi.credentials.js",
|
||||
"dist/credentials/AzureOpenAiApi.credentials.js",
|
||||
@@ -107,6 +108,7 @@
|
||||
"dist/nodes/embeddings/EmbeddingsOpenAI/EmbeddingsOpenAi.node.js",
|
||||
"dist/nodes/embeddings/EmbeddingsLemonade/EmbeddingsLemonade.node.js",
|
||||
"dist/nodes/embeddings/EmbeddingsOllama/EmbeddingsOllama.node.js",
|
||||
"dist/nodes/llms/LmChatAlibabaCloud/LmChatAlibabaCloud.node.js",
|
||||
"dist/nodes/llms/LMChatAnthropic/LmChatAnthropic.node.js",
|
||||
"dist/nodes/llms/LmChatAzureOpenAi/LmChatAzureOpenAi.node.js",
|
||||
"dist/nodes/llms/LmChatAwsBedrock/LmChatAwsBedrock.node.js",
|
||||
|
||||
Reference in New Issue
Block a user