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124 lines
3.2 KiB
TypeScript
124 lines
3.2 KiB
TypeScript
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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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 type { LemonadeApiCredentialsType } from '../../../credentials/LemonadeApi.credentials';
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import { lemonadeModel, lemonadeOptions, lemonadeDescription } from '../LMLemonade/description';
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export class LmChatLemonade implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Lemonade Chat Model',
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name: 'lmChatLemonade',
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icon: 'file:lemonade.svg',
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group: ['transform'],
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version: 1,
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description: 'Language Model Lemonade Chat',
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defaults: {
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name: 'Lemonade 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.lmchatlemonade/',
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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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...lemonadeDescription,
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properties: [
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getConnectionHintNoticeField([NodeConnectionTypes.AiChain, NodeConnectionTypes.AiAgent]),
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lemonadeModel,
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lemonadeOptions,
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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('lemonadeApi')) as LemonadeApiCredentialsType;
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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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temperature?: number;
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topP?: number;
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frequencyPenalty?: number;
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presencePenalty?: number;
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maxTokens?: number;
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stop?: string;
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};
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// Process stop sequences and maxTokens
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const processedOptions: {
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temperature?: number;
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topP?: number;
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frequencyPenalty?: number;
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presencePenalty?: number;
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maxTokens?: number;
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stop?: string[] | undefined;
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} = {
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...options,
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maxTokens: options.maxTokens && options.maxTokens > 0 ? options.maxTokens : undefined,
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stop: undefined, // Will be set below if options.stop exists
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};
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if (options.stop) {
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const stopSequences = options.stop
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.split(',')
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.map((s) => s.trim())
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.filter((s) => s.length > 0);
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processedOptions.stop = stopSequences.length > 0 ? stopSequences : undefined;
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}
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// Build configuration object like official OpenAI node
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const configuration: ClientOptions = {
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baseURL: credentials.baseUrl,
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};
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// Add custom headers if API key is provided
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if (credentials.apiKey) {
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configuration.defaultHeaders = {
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Authorization: `Bearer ${credentials.apiKey}`,
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};
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}
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configuration.fetchOptions = {
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dispatcher: getProxyAgent(configuration.baseURL ?? '', {}),
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};
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const model = new ChatOpenAI({
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apiKey: credentials.apiKey || 'lemonade-placeholder-key',
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model: modelName,
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...processedOptions,
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configuration,
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callbacks: [new N8nLlmTracing(this)],
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onFailedAttempt: makeN8nLlmFailedAttemptHandler(this),
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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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