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@@ -0,0 +1,114 @@
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import { OpenAI } from '@langchain/openai';
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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 { lemonadeDescription, lemonadeModel, lemonadeOptions } from './description';
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import {
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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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export class LmLemonade implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Lemonade Model',
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name: 'lmLemonade',
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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',
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defaults: {
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name: 'Lemonade 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': ['Text Completion 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.lmlemonade/',
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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
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let stop: string[] | undefined;
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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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stop = stopSequences.length > 0 ? stopSequences : undefined;
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}
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// Ensure we have an API key for OpenAI client validation
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const apiKey = credentials.apiKey || 'lemonade-placeholder-key';
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// Build configuration object separately like official OpenAI node
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const configuration: any = {
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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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const model = new OpenAI({
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apiKey,
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model: modelName,
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temperature: options.temperature,
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topP: options.topP,
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frequencyPenalty: options.frequencyPenalty,
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presencePenalty: options.presencePenalty,
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maxTokens: options.maxTokens && options.maxTokens > 0 ? options.maxTokens : undefined,
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stop,
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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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@@ -0,0 +1,125 @@
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import type { INodeProperties, INodeTypeDescription } from 'n8n-workflow';
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export const lemonadeDescription: Partial<INodeTypeDescription> = {
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credentials: [
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{
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name: 'lemonadeApi',
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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: '={{ $credentials.baseUrl.replace(new RegExp("/$"), "") }}',
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},
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};
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export const lemonadeModel: INodeProperties = {
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displayName: 'Model',
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name: 'model',
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type: 'options',
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default: '',
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description:
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'The model which will generate the completion. Models are loaded and managed through the Lemonade server.',
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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: '/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: '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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required: true,
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};
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export const lemonadeOptions: INodeProperties = {
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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: 'Sampling Temperature',
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name: 'temperature',
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default: 0.7,
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typeOptions: { maxValue: 2, minValue: 0, numberPrecision: 1 },
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description:
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'Controls the randomness of the generated text. Lower values make the output more focused and deterministic, while higher values make it more diverse and random.',
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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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'Chooses from the smallest possible set of tokens whose cumulative probability exceeds the probability top_p. Helps generate more human-like text by reducing repetitions.',
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type: 'number',
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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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type: 'number',
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default: 0.0,
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typeOptions: { minValue: -2, maxValue: 2, numberPrecision: 1 },
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description:
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'Adjusts the penalty for tokens that have already appeared in the generated text. Positive values discourage repetition, negative values encourage it.',
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},
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{
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displayName: 'Presence Penalty',
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name: 'presencePenalty',
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type: 'number',
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default: 0.0,
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typeOptions: { minValue: -2, maxValue: 2, numberPrecision: 1 },
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description:
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'Adjusts the penalty for tokens based on their presence in the generated text so far. Positive values penalize tokens that have already appeared, encouraging diversity.',
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},
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{
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displayName: 'Max Tokens to Generate',
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name: 'maxTokens',
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type: 'number',
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default: -1,
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description:
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'The maximum number of tokens to generate. Set to -1 for no limit. Be cautious when setting this to a large value, as it can lead to very long outputs.',
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},
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{
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displayName: 'Stop Sequences',
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name: 'stop',
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type: 'string',
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default: '',
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description: 'Comma-separated list of sequences where the model will stop generating text',
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},
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],
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};
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@@ -0,0 +1,53 @@
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<svg width="32" height="32" viewBox="0 0 32 32" fill="none" xmlns="http://www.w3.org/2000/svg">
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<path d="M7.03604 2.49169L2 5.00962C2.82591 7.34634 5.52523 8.53484 8.04325 7.52763L14.0865 5.00967C13.2606 2.66287 9.85018 1.17686 7.03604 2.49169Z" fill="url(#paint0_linear_18_30102)"/>
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<g filter="url(#filter0_f_18_30102)">
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</g>
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<g filter="url(#filter1_f_18_30102)">
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<path d="M5.00464 4.17246L7.43032 2.76879C8.78294 2.1905 10.2527 2.35783 11.4155 2.77705C12.4137 3.13689 13.1933 3.76012 13.6206 4.5526C10.4511 2.99575 9.9351 2.43024 5.00464 4.17246Z" fill="url(#paint2_linear_18_30102)"/>
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<feFlood flood-opacity="0" result="BackgroundImageFix"/>
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<feBlend mode="normal" in="SourceGraphic" in2="BackgroundImageFix" result="shape"/>
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<feGaussianBlur stdDeviation="0.377703" result="effect1_foregroundBlur_18_30102"/>
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<feFlood flood-opacity="0" result="BackgroundImageFix"/>
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<feBlend mode="normal" in="SourceGraphic" in2="BackgroundImageFix" result="shape"/>
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<feGaussianBlur stdDeviation="0.377703" result="effect1_foregroundBlur_18_30102"/>
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|
After Width: | Height: | Size: 4.8 KiB |
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