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0f7ae3f50a
Signed-off-by: Oleg Ivaniv <me@olegivaniv.com> Co-authored-by: Michael Kret <michael.k@radency.com>
179 lines
4.7 KiB
TypeScript
179 lines
4.7 KiB
TypeScript
/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
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import {
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NodeConnectionType,
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type INodeProperties,
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type IExecuteFunctions,
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type INodeType,
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type INodeTypeDescription,
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type SupplyData,
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} from 'n8n-workflow';
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import { ChatAnthropic } from '@langchain/anthropic';
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import { logWrapper } from '../../../utils/logWrapper';
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import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
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const modelField: INodeProperties = {
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displayName: 'Model',
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name: 'model',
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type: 'options',
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// eslint-disable-next-line n8n-nodes-base/node-param-options-type-unsorted-items
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options: [
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{
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name: 'Claude 3 Opus(20240229)',
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value: 'claude-3-opus-20240229',
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},
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{
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name: 'Claude 3 Sonnet(20240229)',
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value: 'claude-3-sonnet-20240229',
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},
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{
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name: 'LEGACY: Claude 2',
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value: 'claude-2',
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},
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{
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name: 'LEGACY: Claude 2.1',
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value: 'claude-2.1',
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},
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{
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name: 'LEGACY: Claude Instant 1.2',
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value: 'claude-instant-1.2',
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},
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{
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name: 'LEGACY: Claude Instant 1',
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value: 'claude-instant-1',
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},
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],
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description:
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'The model which will generate the completion. <a href="https://docs.anthropic.com/claude/docs/models-overview">Learn more</a>.',
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default: 'claude-2',
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};
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export class LmChatAnthropic implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Anthropic Chat Model',
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// eslint-disable-next-line n8n-nodes-base/node-class-description-name-miscased
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name: 'lmChatAnthropic',
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icon: 'file:anthropic.svg',
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group: ['transform'],
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version: [1, 1.1],
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description: 'Language Model Anthropic',
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defaults: {
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name: 'Anthropic Chat Model',
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},
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codex: {
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categories: ['AI'],
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subcategories: {
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AI: ['Language Models'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatanthropic/',
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},
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],
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},
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alias: ['claude', 'sonnet', 'opus'],
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},
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// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
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inputs: [],
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// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
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outputs: [NodeConnectionType.AiLanguageModel],
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outputNames: ['Model'],
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credentials: [
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{
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name: 'anthropicApi',
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required: true,
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},
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],
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properties: [
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getConnectionHintNoticeField([NodeConnectionType.AiChain, NodeConnectionType.AiChain]),
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{
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...modelField,
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displayOptions: {
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show: {
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'@version': [1],
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},
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},
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},
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{
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...modelField,
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default: 'claude-3-sonnet-20240229',
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displayOptions: {
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hide: {
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'@version': [1],
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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: 'Maximum Number of Tokens',
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name: 'maxTokensToSample',
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default: 4096,
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description: 'The maximum number of tokens to generate in the completion',
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type: 'number',
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},
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{
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displayName: 'Sampling Temperature',
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name: 'temperature',
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default: 0.7,
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typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
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description:
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'Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.',
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type: 'number',
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},
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{
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displayName: 'Top K',
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name: 'topK',
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default: -1,
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typeOptions: { maxValue: 1, minValue: -1, numberPrecision: 1 },
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description:
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'Used to remove "long tail" low probability responses. Defaults to -1, which disables it.',
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type: 'number',
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},
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{
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displayName: 'Top P',
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name: 'topP',
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default: 1,
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typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
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description:
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'Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered. We generally recommend altering this or temperature but not both.',
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type: 'number',
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},
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],
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},
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],
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};
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async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
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const credentials = await this.getCredentials('anthropicApi');
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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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maxTokensToSample?: number;
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temperature: number;
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topK: number;
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topP: number;
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};
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const model = new ChatAnthropic({
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anthropicApiKey: credentials.apiKey as string,
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modelName,
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maxTokens: options.maxTokensToSample,
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temperature: options.temperature,
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topK: options.topK,
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topP: options.topP,
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});
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return {
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response: logWrapper(model, this),
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};
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}
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}
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