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836 lines
24 KiB
TypeScript
836 lines
24 KiB
TypeScript
import { ChatOpenAI, type ChatOpenAIFields, type ClientOptions } from '@langchain/openai';
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import pick from 'lodash/pick';
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import {
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NodeConnectionTypes,
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type INodeProperties,
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type IDataObject,
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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 { checkDomainRestrictions } from '@utils/checkDomainRestrictions';
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import { mergeCustomHeaders } from '@utils/helpers';
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import { openAiFailedAttemptHandler } from '../../vendors/OpenAi/helpers/error-handling';
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import {
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makeN8nLlmFailedAttemptHandler,
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N8nLlmTracing,
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getProxyAgent,
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getConnectionHintNoticeField,
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} from '@n8n/ai-utilities';
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import { formatBuiltInTools, prepareAdditionalResponsesParams } from './common';
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import { searchModels } from './methods/loadModels';
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import type { ModelOptions } from './types';
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import { Container } from '@n8n/di';
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import { AiConfig } from '@n8n/config';
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const INCLUDE_JSON_WARNING: INodeProperties = {
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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. Also, make sure to select latest models released post November 2023.',
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name: 'notice',
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type: 'notice',
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default: '',
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};
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const completionsResponseFormat: INodeProperties = {
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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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const jsonSchemaExample = `{
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"type": "object",
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"properties": {
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"message": {
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"type": "string"
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}
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},
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"additionalProperties": false,
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"required": ["message"]
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}`;
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export class LmChatOpenAi implements INodeType {
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methods = {
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listSearch: {
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searchModels,
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},
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};
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description: INodeTypeDescription = {
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displayName: 'OpenAI Chat Model',
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name: 'lmChatOpenAi',
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icon: { light: 'file:openAiLight.svg', dark: 'file:openAiLight.dark.svg' },
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group: ['transform'],
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version: [1, 1.1, 1.2, 1.3],
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description: 'For advanced usage with an AI chain',
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defaults: {
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name: 'OpenAI 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.lmchatopenai/',
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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: 'openAiApi',
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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:
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'={{ $parameter.options?.baseURL?.split("/").slice(0,-1).join("/") || $credentials?.url?.split("/").slice(0,-1).join("/") || "https://api.openai.com" }}',
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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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...INCLUDE_JSON_WARNING,
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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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...INCLUDE_JSON_WARNING,
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displayOptions: {
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show: {
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'/options.textFormat.textOptions.type': ['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://beta.openai.com/docs/models/overview">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: '={{ $parameter.options?.baseURL?.split("/").slice(-1).pop() || $credentials?.url?.split("/").slice(-1).pop() || "v1" }}/models',
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},
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output: {
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postReceive: [
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{
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type: 'rootProperty',
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properties: {
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property: 'data',
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},
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},
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{
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type: 'filter',
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properties: {
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// If the baseURL is not set or is set to api.openai.com, include only chat models
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pass: `={{
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($parameter.options?.baseURL && !$parameter.options?.baseURL?.startsWith('https://api.openai.com/')) ||
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($credentials?.url && !$credentials.url.startsWith('https://api.openai.com/')) ||
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$responseItem.id.startsWith('ft:') ||
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$responseItem.id.startsWith('o1') ||
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$responseItem.id.startsWith('o3') ||
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($responseItem.id.startsWith('gpt-') && !$responseItem.id.includes('instruct'))
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}}`,
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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: 'gpt-5-mini',
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builderHint: { message: 'Always default to latest mini model gpt-5-mini' },
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displayOptions: {
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hide: {
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'@version': [{ _cnd: { gte: 1.2 } }],
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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: 'resourceLocator',
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default: { mode: 'list', value: 'gpt-5-mini' },
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builderHint: { message: 'Always default to latest mini model gpt-5-mini' },
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required: true,
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modes: [
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{
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displayName: 'From List',
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name: 'list',
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type: 'list',
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placeholder: 'Select a model...',
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typeOptions: {
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searchListMethod: 'searchModels',
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searchable: true,
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},
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},
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{
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displayName: 'ID',
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name: 'id',
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type: 'string',
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placeholder: 'gpt-5-mini',
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},
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],
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description: 'The model. Choose from the list, or specify an ID.',
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displayOptions: {
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hide: {
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'@version': [{ _cnd: { lte: 1.1 } }],
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},
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},
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},
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{
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displayName:
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'When using non-OpenAI models via "Base URL" override, not all models might be chat-compatible or support other features, like tools calling or JSON response format',
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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.baseURL': [{ _cnd: { exists: true } }],
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},
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},
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},
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{
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displayName: 'Use Responses API',
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name: 'responsesApiEnabled',
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type: 'boolean',
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default: true,
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description:
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'Whether to use the Responses API to generate the response. <a href="https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/#use-responses-api">Learn more</a>.',
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displayOptions: {
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show: {
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'@version': [{ _cnd: { gte: 1.3 } }],
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},
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},
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},
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{
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displayName: 'Built-in Tools',
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name: 'builtInTools',
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placeholder: 'Add Built-in Tool',
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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: 'Web Search',
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name: 'webSearch',
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type: 'collection',
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default: { searchContextSize: 'medium' },
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options: [
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{
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displayName: 'Search Context Size',
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name: 'searchContextSize',
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type: 'options',
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default: 'medium',
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description:
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'High level guidance for the amount of context window space to use for the search',
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options: [
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{ name: 'Low', value: 'low' },
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{ name: 'Medium', value: 'medium' },
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{ name: 'High', value: 'high' },
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],
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},
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{
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displayName: 'Web Search Allowed Domains',
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name: 'allowedDomains',
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type: 'string',
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default: '',
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description:
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'Comma-separated list of domains to search. Only domains in this list will be searched.',
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placeholder: 'e.g. google.com, wikipedia.org',
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},
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{
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displayName: 'Country',
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name: 'country',
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type: 'string',
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default: '',
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placeholder: 'e.g. US, GB',
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},
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{
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displayName: 'City',
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name: 'city',
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type: 'string',
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default: '',
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placeholder: 'e.g. New York, London',
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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: 'string',
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default: '',
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placeholder: 'e.g. New York, London',
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},
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],
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},
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{
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displayName: 'File Search',
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name: 'fileSearch',
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type: 'collection',
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default: { vectorStoreIds: '[]' },
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options: [
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{
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displayName: 'Vector Store IDs',
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name: 'vectorStoreIds',
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description:
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'The vector store IDs to use for the file search. Vector stores are managed via OpenAI Dashboard. <a href="https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatopenai/#built-in-tools">Learn more</a>.',
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type: 'json',
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default: '[]',
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required: true,
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},
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{
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displayName: 'Filters',
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name: 'filters',
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type: 'json',
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default: '{}',
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},
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{
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displayName: 'Max Results',
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name: 'maxResults',
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type: 'number',
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default: 1,
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typeOptions: { minValue: 1, maxValue: 50 },
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},
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],
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},
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{
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displayName: 'Code Interpreter',
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name: 'codeInterpreter',
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type: 'boolean',
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default: true,
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description: 'Whether to allow the model to execute code in a sandboxed environment',
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},
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],
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displayOptions: {
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show: {
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'@version': [{ _cnd: { gte: 1.3 } }],
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'/responsesApiEnabled': [true],
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},
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},
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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: 'Base URL',
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name: 'baseURL',
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default: 'https://api.openai.com/v1',
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description: 'Override the default base URL for the API',
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type: 'string',
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displayOptions: {
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hide: {
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'@version': [{ _cnd: { gte: 1.1 } }],
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},
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},
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},
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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. Most models have a context length of 2048 tokens (except for the newest models, which support 32,768).',
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type: 'number',
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typeOptions: {
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maxValue: 32768,
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},
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},
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{
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...completionsResponseFormat,
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displayOptions: {
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show: {
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'@version': [{ _cnd: { lt: 1.3 } }],
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},
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},
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},
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{
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...completionsResponseFormat,
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displayOptions: {
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show: {
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'@version': [{ _cnd: { gte: 1.3 } }],
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'/responsesApiEnabled': [false],
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},
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},
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},
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{
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displayName: 'Response Format',
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name: 'textFormat',
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type: 'fixedCollection',
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default: { textOptions: [{ type: 'text' }] },
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options: [
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{
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displayName: 'Text',
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name: 'textOptions',
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values: [
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{
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displayName: 'Type',
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name: 'type',
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type: 'options',
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default: '',
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options: [
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{ name: 'Text', value: 'text' },
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// eslint-disable-next-line n8n-nodes-base/node-param-display-name-miscased
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{ name: 'JSON Schema (recommended)', value: 'json_schema' },
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{ name: 'JSON Object', value: 'json_object' },
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],
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},
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{
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|
displayName: 'Verbosity',
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|
name: 'verbosity',
|
|
type: 'options',
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default: 'medium',
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options: [
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{ name: 'Low', value: 'low' },
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{ name: 'Medium', value: 'medium' },
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{ name: 'High', value: 'high' },
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],
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},
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|
{
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|
displayName: 'Name',
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|
name: 'name',
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type: 'string',
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default: 'my_schema',
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description:
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'The name of the response format. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 64.',
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displayOptions: {
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show: {
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type: ['json_schema'],
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},
|
|
},
|
|
},
|
|
{
|
|
displayName:
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'All properties in the schema must be set to "required", when using "strict" mode.',
|
|
name: 'requiredNotice',
|
|
type: 'notice',
|
|
default: '',
|
|
displayOptions: {
|
|
show: {
|
|
strict: [true],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Schema',
|
|
name: 'schema',
|
|
type: 'json',
|
|
default: jsonSchemaExample,
|
|
description: 'The schema of the response format',
|
|
displayOptions: {
|
|
show: {
|
|
type: ['json_schema'],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Description',
|
|
name: 'description',
|
|
type: 'string',
|
|
default: '',
|
|
description: 'The description of the response format',
|
|
displayOptions: {
|
|
show: {
|
|
type: ['json_schema'],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Strict',
|
|
name: 'strict',
|
|
type: 'boolean',
|
|
default: false,
|
|
description:
|
|
'Whether to require that the AI will always generate responses that match the provided JSON Schema',
|
|
displayOptions: {
|
|
show: {
|
|
type: ['json_schema'],
|
|
},
|
|
},
|
|
},
|
|
],
|
|
},
|
|
],
|
|
displayOptions: {
|
|
show: {
|
|
'@version': [{ _cnd: { gte: 1.3 } }],
|
|
'/responsesApiEnabled': [true],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Presence Penalty',
|
|
name: 'presencePenalty',
|
|
default: 0,
|
|
typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
|
|
description:
|
|
"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",
|
|
type: 'number',
|
|
},
|
|
{
|
|
displayName: 'Sampling Temperature',
|
|
name: 'temperature',
|
|
default: 0.7,
|
|
typeOptions: { maxValue: 2, 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',
|
|
},
|
|
{
|
|
displayName: 'Reasoning Effort',
|
|
name: 'reasoningEffort',
|
|
default: 'medium',
|
|
description:
|
|
'Controls the amount of reasoning tokens to use. A value of "low" will favor speed and economical token usage, "high" will favor more complete reasoning at the cost of more tokens generated and slower responses.',
|
|
type: 'options',
|
|
options: [
|
|
{
|
|
name: 'Low',
|
|
value: 'low',
|
|
description: 'Favors speed and economical token usage',
|
|
},
|
|
{
|
|
name: 'Medium',
|
|
value: 'medium',
|
|
description: 'Balance between speed and reasoning accuracy',
|
|
},
|
|
{
|
|
name: 'High',
|
|
value: 'high',
|
|
description:
|
|
'Favors more complete reasoning at the cost of more tokens generated and slower responses',
|
|
},
|
|
],
|
|
displayOptions: {
|
|
show: {
|
|
// reasoning_effort is only available on o1, o1-versioned, or on o3-mini and beyond, and gpt-5 models. Not on o1-mini or other GPT-models.
|
|
'/model': [{ _cnd: { regex: '(^o1([-\\d]+)?$)|(^o[3-9].*)|(^gpt-5.*)' } }],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Timeout',
|
|
name: 'timeout',
|
|
default: 60000,
|
|
description: 'Maximum amount of time a request is allowed to take in milliseconds',
|
|
type: 'number',
|
|
},
|
|
{
|
|
displayName: 'Max Retries',
|
|
name: 'maxRetries',
|
|
default: 2,
|
|
description: 'Maximum number of retries to attempt',
|
|
type: 'number',
|
|
},
|
|
{
|
|
displayName: 'Top P',
|
|
name: 'topP',
|
|
default: 1,
|
|
typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
|
|
description:
|
|
'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.',
|
|
type: 'number',
|
|
},
|
|
{
|
|
displayName: 'Conversation ID',
|
|
name: 'conversationId',
|
|
default: '',
|
|
description:
|
|
'The conversation that this response belongs to. Input items and output items from this response are automatically added to this conversation after this response completes.',
|
|
type: 'string',
|
|
displayOptions: {
|
|
show: {
|
|
'@version': [{ _cnd: { gte: 1.3 } }],
|
|
'/responsesApiEnabled': [true],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Prompt Cache Key',
|
|
name: 'promptCacheKey',
|
|
type: 'string',
|
|
default: '',
|
|
description:
|
|
'Used by OpenAI to cache responses for similar requests to optimize your cache hit rates',
|
|
displayOptions: {
|
|
show: {
|
|
'@version': [{ _cnd: { gte: 1.3 } }],
|
|
'/responsesApiEnabled': [true],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Safety Identifier',
|
|
name: 'safetyIdentifier',
|
|
type: 'string',
|
|
default: '',
|
|
description:
|
|
"A stable identifier used to help detect users of your application that may be violating OpenAI's usage policies. The IDs should be a string that uniquely identifies each user.",
|
|
displayOptions: {
|
|
show: {
|
|
'@version': [{ _cnd: { gte: 1.3 } }],
|
|
'/responsesApiEnabled': [true],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Service Tier',
|
|
name: 'serviceTier',
|
|
type: 'options',
|
|
default: 'auto',
|
|
description: 'The service tier to use for the request',
|
|
options: [
|
|
{ name: 'Auto', value: 'auto' },
|
|
{ name: 'Flex', value: 'flex' },
|
|
{ name: 'Default', value: 'default' },
|
|
{ name: 'Priority', value: 'priority' },
|
|
],
|
|
displayOptions: {
|
|
show: {
|
|
'@version': [{ _cnd: { gte: 1.3 } }],
|
|
'/responsesApiEnabled': [true],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Metadata',
|
|
name: 'metadata',
|
|
type: 'json',
|
|
description:
|
|
'Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.',
|
|
default: '{}',
|
|
displayOptions: {
|
|
show: {
|
|
'@version': [{ _cnd: { gte: 1.3 } }],
|
|
'/responsesApiEnabled': [true],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Top Logprobs',
|
|
name: 'topLogprobs',
|
|
type: 'number',
|
|
default: 0,
|
|
description:
|
|
'An integer between 0 and 20 specifying the number of most likely tokens to return at each token position, each with an associated log probability',
|
|
typeOptions: {
|
|
minValue: 0,
|
|
maxValue: 20,
|
|
},
|
|
displayOptions: {
|
|
show: {
|
|
'@version': [{ _cnd: { gte: 1.3 } }],
|
|
'/responsesApiEnabled': [true],
|
|
},
|
|
},
|
|
},
|
|
{
|
|
displayName: 'Prompt',
|
|
name: 'promptConfig',
|
|
type: 'fixedCollection',
|
|
description:
|
|
'Configure the reusable prompt template configured via OpenAI Dashboard. <a href="https://platform.openai.com/docs/guides/prompt-engineering#reusable-prompts">Learn more</a>.',
|
|
default: { promptOptions: [{ promptId: '' }] },
|
|
options: [
|
|
{
|
|
displayName: 'Prompt',
|
|
name: 'promptOptions',
|
|
values: [
|
|
{
|
|
displayName: 'Prompt ID',
|
|
name: 'promptId',
|
|
type: 'string',
|
|
default: '',
|
|
description: 'The unique identifier of the prompt template to use',
|
|
},
|
|
{
|
|
displayName: 'Version',
|
|
name: 'version',
|
|
type: 'string',
|
|
default: '',
|
|
description: 'Optional version of the prompt template',
|
|
},
|
|
{
|
|
displayName: 'Variables',
|
|
name: 'variables',
|
|
type: 'json',
|
|
default: '{}',
|
|
description: 'Variables to be substituted into the prompt template',
|
|
},
|
|
],
|
|
},
|
|
],
|
|
displayOptions: {
|
|
show: {
|
|
'@version': [{ _cnd: { gte: 1.3 } }],
|
|
'/responsesApiEnabled': [true],
|
|
},
|
|
},
|
|
},
|
|
],
|
|
},
|
|
],
|
|
};
|
|
|
|
async supplyData(this: ISupplyDataFunctions, itemIndex: number): Promise<SupplyData> {
|
|
const credentials = await this.getCredentials('openAiApi');
|
|
|
|
const version = this.getNode().typeVersion;
|
|
const modelName =
|
|
version >= 1.2
|
|
? (this.getNodeParameter('model.value', itemIndex) as string)
|
|
: (this.getNodeParameter('model', itemIndex) as string);
|
|
|
|
const responsesApiEnabled = this.getNodeParameter('responsesApiEnabled', itemIndex, false);
|
|
|
|
const options = this.getNodeParameter('options', itemIndex, {}) as ModelOptions;
|
|
|
|
const { openAiDefaultHeaders: defaultHeaders } = Container.get(AiConfig);
|
|
|
|
const configuration: ClientOptions = {
|
|
defaultHeaders,
|
|
};
|
|
|
|
if (options.baseURL) {
|
|
checkDomainRestrictions(this, credentials, options.baseURL);
|
|
configuration.baseURL = options.baseURL;
|
|
} else if (credentials.url) {
|
|
configuration.baseURL = credentials.url as string;
|
|
}
|
|
|
|
const timeout = options.timeout;
|
|
configuration.fetchOptions = {
|
|
dispatcher: getProxyAgent(configuration.baseURL ?? 'https://api.openai.com/v1', {
|
|
headersTimeout: timeout,
|
|
bodyTimeout: timeout,
|
|
}),
|
|
};
|
|
configuration.defaultHeaders = mergeCustomHeaders(
|
|
credentials,
|
|
(configuration.defaultHeaders ?? {}) as Record<string, string>,
|
|
);
|
|
|
|
// Extra options to send to OpenAI, that are not directly supported by LangChain
|
|
const modelKwargs: Record<string, unknown> = {};
|
|
if (responsesApiEnabled) {
|
|
const kwargs = prepareAdditionalResponsesParams(options);
|
|
Object.assign(modelKwargs, kwargs);
|
|
} else {
|
|
if (options.responseFormat) modelKwargs.response_format = { type: options.responseFormat };
|
|
if (options.reasoningEffort && ['low', 'medium', 'high'].includes(options.reasoningEffort)) {
|
|
modelKwargs.reasoning_effort = options.reasoningEffort;
|
|
}
|
|
}
|
|
|
|
const includedOptions = pick(options, [
|
|
'frequencyPenalty',
|
|
'maxTokens',
|
|
'presencePenalty',
|
|
'temperature',
|
|
'topP',
|
|
'baseURL',
|
|
]);
|
|
|
|
const fields: ChatOpenAIFields = {
|
|
apiKey: credentials.apiKey as string,
|
|
model: modelName,
|
|
...includedOptions,
|
|
timeout,
|
|
maxRetries: options.maxRetries ?? 2,
|
|
configuration,
|
|
callbacks: [new N8nLlmTracing(this)],
|
|
modelKwargs,
|
|
onFailedAttempt: makeN8nLlmFailedAttemptHandler(this, openAiFailedAttemptHandler),
|
|
// Set to false to ensure compatibility with OpenAI-compatible backends (LM Studio, vLLM, etc.)
|
|
// that reject strict: null in tool definitions
|
|
supportsStrictToolCalling: false,
|
|
};
|
|
|
|
// by default ChatOpenAI can switch to responses API automatically, so force it only on 1.3 and above to keep backwards compatibility
|
|
if (responsesApiEnabled) {
|
|
fields.useResponsesApi = true;
|
|
}
|
|
|
|
const model = new ChatOpenAI(fields);
|
|
|
|
if (responsesApiEnabled) {
|
|
const tools = formatBuiltInTools(
|
|
this.getNodeParameter('builtInTools', itemIndex, {}) as IDataObject,
|
|
);
|
|
// pass tools to the model metadata, ToolAgent will use it to create agent configuration
|
|
if (tools.length) {
|
|
model.metadata = {
|
|
...model.metadata,
|
|
tools,
|
|
};
|
|
}
|
|
}
|
|
|
|
return {
|
|
response: model,
|
|
};
|
|
}
|
|
}
|