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+67
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import type { IExecuteFunctions, INodeExecutionData, INodeProperties } from 'n8n-workflow';
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import { updateDisplayOptions } from 'n8n-workflow';
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import type { PromptResponse } from '../../helpers/interfaces';
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import { apiRequest } from '../../transport';
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const properties: INodeProperties[] = [
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{
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displayName: 'Task',
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name: 'task',
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type: 'string',
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description: "Description of the prompt's purpose",
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placeholder: 'e.g. A chef for a meal prep planning service',
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default: '',
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typeOptions: {
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rows: 2,
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},
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},
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{
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displayName: 'Simplify Output',
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name: 'simplify',
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type: 'boolean',
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default: true,
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description: 'Whether to return a simplified version of the response instead of the raw data',
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},
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];
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const displayOptions = {
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show: {
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operation: ['generate'],
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resource: ['prompt'],
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},
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};
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export const description = updateDisplayOptions(displayOptions, properties);
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export async function execute(this: IExecuteFunctions, i: number): Promise<INodeExecutionData[]> {
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const task = this.getNodeParameter('task', i, '') as string;
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const simplify = this.getNodeParameter('simplify', i, true) as boolean;
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const body = {
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task,
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};
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const response = (await apiRequest.call(this, 'POST', '/v1/experimental/generate_prompt', {
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body,
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enableAnthropicBetas: { promptTools: true },
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})) as PromptResponse;
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if (simplify) {
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return [
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{
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json: {
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messages: response.messages,
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system: response.system,
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},
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pairedItem: { item: i },
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},
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];
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}
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return [
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{
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json: { ...response },
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pairedItem: { item: i },
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},
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];
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}
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+135
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import type { IExecuteFunctions, INodeExecutionData, INodeProperties } from 'n8n-workflow';
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import { updateDisplayOptions } from 'n8n-workflow';
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import type { Message, PromptResponse } from '../../helpers/interfaces';
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import { apiRequest } from '../../transport';
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const properties: INodeProperties[] = [
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{
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displayName: 'Messages',
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name: 'messages',
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type: 'fixedCollection',
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typeOptions: {
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sortable: true,
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multipleValues: true,
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},
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description: 'Messages that constitute the prompt to be improved',
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placeholder: 'Add Message',
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default: { values: [{ content: '', role: 'user' }] },
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options: [
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{
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displayName: 'Values',
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name: 'values',
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values: [
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{
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displayName: 'Prompt',
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name: 'content',
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type: 'string',
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description: 'The content of the message to be sent',
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default: '',
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placeholder: 'e.g. Concise instructions for a meal prep service',
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typeOptions: {
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rows: 2,
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},
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},
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{
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displayName: 'Role',
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name: 'role',
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type: 'options',
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description:
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"Role in shaping the model's response, it tells the model how it should behave and interact with the user",
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options: [
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{
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name: 'User',
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value: 'user',
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description: 'Send a message as a user and get a response from the model',
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},
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{
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name: 'Assistant',
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value: 'assistant',
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description: 'Tell the model to adopt a specific tone or personality',
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},
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],
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default: 'user',
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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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displayName: 'Simplify Output',
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name: 'simplify',
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type: 'boolean',
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default: true,
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description: 'Whether to return a simplified version of the response instead of the raw data',
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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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type: 'collection',
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default: {},
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options: [
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{
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displayName: 'System Message',
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name: 'system',
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type: 'string',
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description: 'The existing system prompt to incorporate, if any',
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default: '',
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placeholder: 'e.g. You are a professional meal prep chef',
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},
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{
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displayName: 'Feedback',
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name: 'feedback',
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type: 'string',
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description: 'Feedback for improving the prompt',
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default: '',
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placeholder: 'e.g. Make it more detailed and include cooking times',
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},
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],
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},
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];
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const displayOptions = {
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show: {
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operation: ['improve'],
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resource: ['prompt'],
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},
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};
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export const description = updateDisplayOptions(displayOptions, properties);
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export async function execute(this: IExecuteFunctions, i: number): Promise<INodeExecutionData[]> {
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const messages = this.getNodeParameter('messages.values', i, []) as Message[];
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const simplify = this.getNodeParameter('simplify', i, true) as boolean;
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const options = this.getNodeParameter('options', i, {});
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const body = {
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messages,
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system: options.system,
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feedback: options.feedback,
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};
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const response = (await apiRequest.call(this, 'POST', '/v1/experimental/improve_prompt', {
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body,
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enableAnthropicBetas: { promptTools: true },
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})) as PromptResponse;
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if (simplify) {
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return [
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{
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json: {
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messages: response.messages,
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system: response.system,
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},
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pairedItem: { item: i },
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},
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];
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}
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return [
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{
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json: { ...response },
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pairedItem: { item: i },
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},
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];
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}
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+57
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import type { INodeProperties } from 'n8n-workflow';
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import * as generate from './generate.operation';
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import * as improve from './improve.operation';
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import * as templatize from './templatize.operation';
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export { generate, improve, templatize };
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export const description: INodeProperties[] = [
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{
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displayName: 'Operation',
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name: 'operation',
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type: 'options',
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noDataExpression: true,
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options: [
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{
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name: 'Generate Prompt',
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value: 'generate',
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action: 'Generate a prompt',
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description: 'Generate a prompt for a model',
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},
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{
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name: 'Improve Prompt',
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value: 'improve',
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action: 'Improve a prompt',
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description: 'Improve a prompt for a model',
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},
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{
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name: 'Templatize Prompt',
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value: 'templatize',
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action: 'Templatize a prompt',
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description: 'Templatize a prompt for a model',
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},
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],
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default: 'generate',
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displayOptions: {
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show: {
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resource: ['prompt'],
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},
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},
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},
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{
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displayName:
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'The <a href="https://docs.anthropic.com/en/api/prompt-tools-generate">prompt tools APIs</a> are in a closed research preview. Your organization must request access to use them.',
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name: 'experimentalNotice',
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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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resource: ['prompt'],
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},
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},
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},
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...generate.description,
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...improve.description,
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...templatize.description,
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];
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Vendored
+127
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import type { IExecuteFunctions, INodeExecutionData, INodeProperties } from 'n8n-workflow';
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import { updateDisplayOptions } from 'n8n-workflow';
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import type { Message, TemplatizeResponse } from '../../helpers/interfaces';
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import { apiRequest } from '../../transport';
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const properties: INodeProperties[] = [
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{
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displayName: 'Messages',
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name: 'messages',
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type: 'fixedCollection',
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typeOptions: {
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sortable: true,
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multipleValues: true,
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},
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description: 'Messages that constitute the prompt to be templatized',
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placeholder: 'Add Message',
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default: { values: [{ content: '', role: 'user' }] },
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options: [
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{
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displayName: 'Values',
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name: 'values',
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values: [
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{
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displayName: 'Prompt',
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name: 'content',
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type: 'string',
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description: 'The content of the message to be sent',
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default: '',
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placeholder: 'e.g. Translate hello to German',
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typeOptions: {
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rows: 2,
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},
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},
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{
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displayName: 'Role',
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name: 'role',
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type: 'options',
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description:
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"Role in shaping the model's response, it tells the model how it should behave and interact with the user",
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options: [
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{
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name: 'User',
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value: 'user',
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description: 'Send a message as a user and get a response from the model',
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},
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{
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name: 'Assistant',
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value: 'assistant',
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description: 'Tell the model to adopt a specific tone or personality',
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},
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],
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default: 'user',
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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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displayName: 'Simplify Output',
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name: 'simplify',
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type: 'boolean',
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default: true,
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description: 'Whether to return a simplified version of the response instead of the raw data',
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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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type: 'collection',
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default: {},
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options: [
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{
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displayName: 'System Message',
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name: 'system',
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type: 'string',
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description: 'The existing system prompt to templatize',
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default: '',
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placeholder: 'e.g. You are a professional English to German translator',
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},
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],
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},
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];
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const displayOptions = {
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show: {
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operation: ['templatize'],
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resource: ['prompt'],
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},
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};
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export const description = updateDisplayOptions(displayOptions, properties);
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export async function execute(this: IExecuteFunctions, i: number): Promise<INodeExecutionData[]> {
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const messages = this.getNodeParameter('messages.values', i, []) as Message[];
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const simplify = this.getNodeParameter('simplify', i, true) as boolean;
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const options = this.getNodeParameter('options', i, {});
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const body = {
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messages,
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system: options.system,
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};
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const response = (await apiRequest.call(this, 'POST', '/v1/experimental/templatize_prompt', {
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body,
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enableAnthropicBetas: { promptTools: true },
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})) as TemplatizeResponse;
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if (simplify) {
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return [
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{
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json: {
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messages: response.messages,
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system: response.system,
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variable_values: response.variable_values,
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},
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pairedItem: { item: i },
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},
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];
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}
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return [
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{
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json: { ...response },
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pairedItem: { item: i },
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},
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];
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}
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