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

/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
import {
	NodeConnectionType,
	type INodeType,
	type INodeTypeDescription,
	type ISupplyDataFunctions,
	type SupplyData,
} from 'n8n-workflow';

import { ChatOpenAI } from '@langchain/openai';
import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
import { N8nLlmTracing } from '../N8nLlmTracing';

export class LmChatAzureOpenAi implements INodeType {
	description: INodeTypeDescription = {
		displayName: 'Azure OpenAI Chat Model',
		// eslint-disable-next-line n8n-nodes-base/node-class-description-name-miscased
		name: 'lmChatAzureOpenAi',
		icon: 'file:azure.svg',
		group: ['transform'],
		version: 1,
		description: 'For advanced usage with an AI chain',
		defaults: {
			name: 'Azure OpenAI Chat Model',
		},
		codex: {
			categories: ['AI'],
			subcategories: {
				AI: ['Language Models', 'Root Nodes'],
				'Language Models': ['Chat Models (Recommended)'],
			},
			resources: {
				primaryDocumentation: [
					{
						url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatazureopenai/',
					},
				],
			},
		},
		// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
		inputs: [],
		// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
		outputs: [NodeConnectionType.AiLanguageModel],
		outputNames: ['Model'],
		credentials: [
			{
				name: 'azureOpenAiApi',
				required: true,
			},
		],
		properties: [
			getConnectionHintNoticeField([NodeConnectionType.AiChain, NodeConnectionType.AiAgent]),
			{
				displayName:
					'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.',
				name: 'notice',
				type: 'notice',
				default: '',
				displayOptions: {
					show: {
						'/options.responseFormat': ['json_object'],
					},
				},
			},
			{
				displayName: 'Model (Deployment) Name',
				name: 'model',
				type: 'string',
				description: 'The name of the model(deployment) to use',
				default: '',
			},
			{
				displayName: 'Options',
				name: 'options',
				placeholder: 'Add Option',
				description: 'Additional options to add',
				type: 'collection',
				default: {},
				options: [
					{
						displayName: 'Frequency Penalty',
						name: 'frequencyPenalty',
						default: 0,
						typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
						description:
							"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",
						type: 'number',
					},
					{
						displayName: 'Maximum Number of Tokens',
						name: 'maxTokens',
						default: -1,
						description:
							'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).',
						type: 'number',
						typeOptions: {
							maxValue: 32768,
						},
					},
					{
						displayName: 'Response Format',
						name: 'responseFormat',
						default: 'text',
						type: 'options',
						options: [
							{
								name: 'Text',
								value: 'text',
								description: 'Regular text response',
							},
							{
								name: 'JSON',
								value: 'json_object',
								description:
									'Enables JSON mode, which should guarantee the message the model generates is valid JSON',
							},
						],
					},
					{
						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: 1, minValue: 0, numberPrecision: 1 },
						description:
							'Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.',
						type: 'number',
					},
					{
						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',
					},
				],
			},
		],
	};

	async supplyData(this: ISupplyDataFunctions, itemIndex: number): Promise<SupplyData> {
		const credentials = await this.getCredentials<{
			apiKey: string;
			resourceName: string;
			apiVersion: string;
		}>('azureOpenAiApi');

		const modelName = this.getNodeParameter('model', itemIndex) as string;
		const options = this.getNodeParameter('options', itemIndex, {}) as {
			frequencyPenalty?: number;
			maxTokens?: number;
			maxRetries: number;
			timeout: number;
			presencePenalty?: number;
			temperature?: number;
			topP?: number;
			responseFormat?: 'text' | 'json_object';
		};

		const model = new ChatOpenAI({
			azureOpenAIApiDeploymentName: modelName,
			azureOpenAIApiInstanceName: credentials.resourceName,
			azureOpenAIApiKey: credentials.apiKey,
			azureOpenAIApiVersion: credentials.apiVersion,
			...options,
			timeout: options.timeout ?? 60000,
			maxRetries: options.maxRetries ?? 2,
			callbacks: [new N8nLlmTracing(this)],
			modelKwargs: options.responseFormat
				? {
						response_format: { type: options.responseFormat },
					}
				: undefined,
		});

		return {
			response: model,
		};
	}
}