/* eslint-disable n8n-nodes-base/node-dirname-against-convention */ import { NodeConnectionType, type INodePropertyOptions, type INodeProperties, type IExecuteFunctions, type INodeType, type INodeTypeDescription, type SupplyData, } from 'n8n-workflow'; import { ChatAnthropic } from '@langchain/anthropic'; import type { LLMResult } from '@langchain/core/outputs'; import { getConnectionHintNoticeField } from '../../../utils/sharedFields'; import { N8nLlmTracing } from '../N8nLlmTracing'; const modelField: INodeProperties = { displayName: 'Model', name: 'model', type: 'options', // eslint-disable-next-line n8n-nodes-base/node-param-options-type-unsorted-items options: [ { name: 'Claude 3 Opus(20240229)', value: 'claude-3-opus-20240229', }, { name: 'Claude 3.5 Sonnet(20240620)', value: 'claude-3-5-sonnet-20240620', }, { name: 'Claude 3 Sonnet(20240229)', value: 'claude-3-sonnet-20240229', }, { name: 'Claude 3 Haiku(20240307)', value: 'claude-3-haiku-20240307', }, { name: 'LEGACY: Claude 2', value: 'claude-2', }, { name: 'LEGACY: Claude 2.1', value: 'claude-2.1', }, { name: 'LEGACY: Claude Instant 1.2', value: 'claude-instant-1.2', }, { name: 'LEGACY: Claude Instant 1', value: 'claude-instant-1', }, ], description: 'The model which will generate the completion. Learn more.', default: 'claude-2', }; export class LmChatAnthropic implements INodeType { description: INodeTypeDescription = { displayName: 'Anthropic Chat Model', // eslint-disable-next-line n8n-nodes-base/node-class-description-name-miscased name: 'lmChatAnthropic', icon: 'file:anthropic.svg', group: ['transform'], version: [1, 1.1, 1.2], defaultVersion: 1.2, description: 'Language Model Anthropic', defaults: { name: 'Anthropic Chat Model', }, codex: { categories: ['AI'], subcategories: { AI: ['Language Models'], }, resources: { primaryDocumentation: [ { url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatanthropic/', }, ], }, alias: ['claude', 'sonnet', 'opus'], }, // 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: 'anthropicApi', required: true, }, ], properties: [ getConnectionHintNoticeField([NodeConnectionType.AiChain, NodeConnectionType.AiChain]), { ...modelField, displayOptions: { show: { '@version': [1], }, }, }, { ...modelField, default: 'claude-3-sonnet-20240229', displayOptions: { show: { '@version': [1.1], }, }, }, { ...modelField, default: 'claude-3-5-sonnet-20240620', options: (modelField.options ?? []).filter( (o): o is INodePropertyOptions => 'name' in o && !o.name.toString().startsWith('LEGACY'), ), displayOptions: { show: { '@version': [{ _cnd: { gte: 1.2 } }], }, }, }, { displayName: 'Options', name: 'options', placeholder: 'Add Option', description: 'Additional options to add', type: 'collection', default: {}, options: [ { displayName: 'Maximum Number of Tokens', name: 'maxTokensToSample', default: 4096, description: 'The maximum number of tokens to generate in the completion', 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: 'Top K', name: 'topK', default: -1, typeOptions: { maxValue: 1, minValue: -1, numberPrecision: 1 }, description: 'Used to remove "long tail" low probability responses. Defaults to -1, which disables it.', 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: IExecuteFunctions, itemIndex: number): Promise { const credentials = await this.getCredentials('anthropicApi'); const modelName = this.getNodeParameter('model', itemIndex) as string; const options = this.getNodeParameter('options', itemIndex, {}) as { maxTokensToSample?: number; temperature: number; topK: number; topP: number; }; const tokensUsageParser = (llmOutput: LLMResult['llmOutput']) => { const usage = (llmOutput?.usage as { input_tokens: number; output_tokens: number }) ?? { input_tokens: 0, output_tokens: 0, }; return { completionTokens: usage.output_tokens, promptTokens: usage.input_tokens, totalTokens: usage.input_tokens + usage.output_tokens, }; }; const model = new ChatAnthropic({ anthropicApiKey: credentials.apiKey as string, modelName, maxTokens: options.maxTokensToSample, temperature: options.temperature, topK: options.topK, topP: options.topP, callbacks: [new N8nLlmTracing(this, { tokensUsageParser })], }); return { response: model, }; } }