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https://github.com/Abdulazizzn/n8n-enterprise-unlocked.git
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138 lines
4.0 KiB
TypeScript
138 lines
4.0 KiB
TypeScript
import type { INodeProperties } from 'n8n-workflow';
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import { NodeConnectionTypes } from 'n8n-workflow';
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import { getConnectionHintNoticeField } from '@utils/sharedFields';
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import { AuthenticationType } from './types';
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export const properties: INodeProperties[] = [
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// eslint-disable-next-line n8n-nodes-base/node-param-default-missing
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{
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displayName: 'Authentication',
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name: 'authentication',
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type: 'options',
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default: AuthenticationType.ApiKey,
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options: [
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{
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name: 'API Key',
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value: AuthenticationType.ApiKey,
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},
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{
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name: 'Azure Entra ID (OAuth2)',
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value: AuthenticationType.EntraOAuth2,
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},
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],
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},
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getConnectionHintNoticeField([NodeConnectionTypes.AiChain, NodeConnectionTypes.AiAgent]),
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{
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displayName:
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'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.',
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name: 'notice',
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type: 'notice',
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default: '',
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displayOptions: {
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show: {
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'/options.responseFormat': ['json_object'],
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},
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},
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},
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{
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displayName: 'Model (Deployment) Name',
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name: 'model',
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type: 'string',
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description: 'The name of the model(deployment) to use (e.g., gpt-4, gpt-35-turbo)',
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required: true,
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default: '',
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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: 'Frequency Penalty',
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name: 'frequencyPenalty',
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default: 0,
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typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
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description:
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"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",
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type: 'number',
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},
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{
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displayName: 'Maximum Number of Tokens',
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name: 'maxTokens',
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default: -1,
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description:
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'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). Use -1 for default.',
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type: 'number',
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typeOptions: {
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maxValue: 128000,
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},
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},
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{
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displayName: 'Response Format',
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name: 'responseFormat',
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default: 'text',
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type: 'options',
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options: [
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{
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name: 'Text',
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value: 'text',
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description: 'Regular text response',
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},
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{
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name: 'JSON',
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value: 'json_object',
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description:
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'Enables JSON mode, which should guarantee the message the model generates is valid JSON',
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},
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],
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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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default: 0,
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typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
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description:
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"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",
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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: 2, minValue: 0, numberPrecision: 1 }, // Max temp can be 2
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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: 'Timeout (Ms)',
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name: 'timeout',
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default: 60000,
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description: 'Maximum amount of time a request is allowed to take in milliseconds',
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type: 'number',
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},
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{
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displayName: 'Max Retries',
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name: 'maxRetries',
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default: 2,
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description: 'Maximum number of retries to attempt on failure',
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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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