mirror of
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398 lines
9.8 KiB
TypeScript
398 lines
9.8 KiB
TypeScript
import { AgentExecutor } from 'langchain/agents';
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import { OpenAI as OpenAIClient } from 'openai';
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import { OpenAIAssistantRunnable } from 'langchain/experimental/openai_assistant';
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import { NodeConnectionType, NodeOperationError } from 'n8n-workflow';
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import type {
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IExecuteFunctions,
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INodeExecutionData,
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INodeType,
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INodeTypeDescription,
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} from 'n8n-workflow';
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import type { OpenAIToolType } from 'langchain/dist/experimental/openai_assistant/schema';
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import { getConnectedTools } from '../../../utils/helpers';
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import { getTracingConfig } from '../../../utils/tracing';
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import { formatToOpenAIAssistantTool } from './utils';
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export class OpenAiAssistant implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'OpenAI Assistant',
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name: 'openAiAssistant',
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hidden: true,
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icon: 'fa:robot',
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group: ['transform'],
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version: [1, 1.1],
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description: 'Utilizes Assistant API from Open AI.',
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subtitle: 'Open AI Assistant',
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defaults: {
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name: 'OpenAI Assistant',
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color: '#404040',
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},
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codex: {
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alias: ['LangChain'],
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categories: ['AI'],
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subcategories: {
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AI: ['Agents', 'Root Nodes'],
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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/root-nodes/n8n-nodes-langchain.openaiassistant/',
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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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{ type: NodeConnectionType.Main },
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{ type: NodeConnectionType.AiTool, displayName: 'Tools' },
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],
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outputs: [NodeConnectionType.Main],
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credentials: [
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{
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name: 'openAiApi',
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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:
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'={{ $parameter.options?.baseURL?.split("/").slice(0,-1).join("/") || "https://api.openai.com" }}',
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},
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properties: [
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{
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displayName: 'Operation',
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name: 'mode',
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type: 'options',
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noDataExpression: true,
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default: 'existing',
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options: [
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{
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name: 'Use New Assistant',
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value: 'new',
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},
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{
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name: 'Use Existing Assistant',
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value: 'existing',
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},
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],
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},
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{
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displayName: 'Name',
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name: 'name',
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type: 'string',
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default: '',
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required: true,
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displayOptions: {
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show: {
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'/mode': ['new'],
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},
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},
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},
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{
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displayName: 'Instructions',
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name: 'instructions',
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type: 'string',
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description: 'How the Assistant and model should behave or respond',
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default: '',
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typeOptions: {
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rows: 5,
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},
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displayOptions: {
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show: {
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'/mode': ['new'],
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},
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},
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},
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{
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displayName: 'Model',
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name: 'model',
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type: 'options',
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description:
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'The model which will be used to power the assistant. <a href="https://beta.openai.com/docs/models/overview">Learn more</a>. The Retrieval tool requires gpt-3.5-turbo-1106 and gpt-4-1106-preview models.',
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required: true,
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displayOptions: {
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show: {
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'/mode': ['new'],
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},
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},
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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: '={{ $parameter.options?.baseURL?.split("/").slice(-1).pop() || "v1" }}/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: 'filter',
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properties: {
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pass: "={{ $responseItem.id.startsWith('gpt-') && !$responseItem.id.includes('instruct') }}",
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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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default: 'gpt-3.5-turbo-1106',
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},
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{
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displayName: 'Assistant',
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name: 'assistantId',
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type: 'options',
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noDataExpression: true,
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displayOptions: {
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show: {
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'/mode': ['existing'],
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},
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},
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description:
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'The assistant to use. <a href="https://beta.openai.com/docs/assistants/overview">Learn more</a>.',
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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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headers: {
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'OpenAI-Beta': 'assistants=v1',
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},
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url: '={{ $parameter.options?.baseURL?.split("/").slice(-1).pop() || "v1" }}/assistants',
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},
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output: {
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postReceive: [
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{
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type: 'rootProperty',
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properties: {
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property: 'data',
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},
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},
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{
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type: 'setKeyValue',
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properties: {
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name: '={{$responseItem.name}}',
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value: '={{$responseItem.id}}',
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// eslint-disable-next-line n8n-local-rules/no-interpolation-in-regular-string
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description: '={{$responseItem.model}}',
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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: 'assistant',
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},
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},
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required: true,
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default: '',
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},
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{
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displayName: 'Text',
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name: 'text',
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type: 'string',
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required: true,
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default: '={{ $json.chat_input }}',
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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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displayName: 'Text',
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name: 'text',
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type: 'string',
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required: true,
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default: '={{ $json.chatInput }}',
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displayOptions: {
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show: {
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'@version': [1.1],
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},
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},
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},
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{
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displayName: 'OpenAI Tools',
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name: 'nativeTools',
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type: 'multiOptions',
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default: [],
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options: [
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{
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name: 'Code Interpreter',
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value: 'code_interpreter',
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},
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{
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name: 'Knowledge Retrieval',
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value: 'retrieval',
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},
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],
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},
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{
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displayName: 'Connect your own custom tools to this node on the canvas',
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name: 'noticeTools',
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type: 'notice',
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default: '',
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},
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{
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displayName:
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'Upload files for retrieval using the <a href="https://platform.openai.com/playground" target="_blank">OpenAI website<a/>',
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name: 'noticeTools',
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type: 'notice',
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typeOptions: {
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noticeTheme: 'info',
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},
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displayOptions: { show: { '/nativeTools': ['retrieval'] } },
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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: 'Base URL',
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name: 'baseURL',
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default: 'https://api.openai.com/v1',
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description: 'Override the default base URL for the API',
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type: 'string',
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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',
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type: 'number',
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},
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{
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displayName: 'Timeout',
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name: 'timeout',
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default: 10000,
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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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},
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],
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};
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async execute(this: IExecuteFunctions): Promise<INodeExecutionData[][]> {
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const nodeVersion = this.getNode().typeVersion;
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const tools = await getConnectedTools(this, nodeVersion > 1, false);
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const credentials = await this.getCredentials('openAiApi');
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const items = this.getInputData();
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const returnData: INodeExecutionData[] = [];
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for (let itemIndex = 0; itemIndex < items.length; itemIndex++) {
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try {
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const input = this.getNodeParameter('text', itemIndex) as string;
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const assistantId = this.getNodeParameter('assistantId', itemIndex, '') as string;
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const nativeTools = this.getNodeParameter('nativeTools', itemIndex, []) as Array<
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'code_interpreter' | 'retrieval'
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>;
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const options = this.getNodeParameter('options', itemIndex, {}) as {
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baseURL?: string;
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maxRetries: number;
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timeout: number;
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};
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if (input === undefined) {
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throw new NodeOperationError(this.getNode(), 'The ‘text‘ parameter is empty.');
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}
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const client = new OpenAIClient({
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apiKey: credentials.apiKey as string,
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maxRetries: options.maxRetries ?? 2,
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timeout: options.timeout ?? 10000,
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baseURL: options.baseURL,
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});
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let agent;
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const nativeToolsParsed: OpenAIToolType = nativeTools.map((tool) => ({ type: tool }));
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const transformedConnectedTools = tools?.map(formatToOpenAIAssistantTool) ?? [];
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const newTools = [...transformedConnectedTools, ...nativeToolsParsed];
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// Existing agent, update tools with currently assigned
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if (assistantId) {
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agent = new OpenAIAssistantRunnable({ assistantId, client, asAgent: true });
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await client.beta.assistants.update(assistantId, {
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tools: newTools,
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});
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} else {
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const name = this.getNodeParameter('name', itemIndex, '') as string;
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const instructions = this.getNodeParameter('instructions', itemIndex, '') as string;
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const model = this.getNodeParameter('model', itemIndex, 'gpt-3.5-turbo-1106') as string;
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agent = await OpenAIAssistantRunnable.createAssistant({
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model,
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client,
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instructions,
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name,
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tools: newTools,
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asAgent: true,
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});
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}
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const agentExecutor = AgentExecutor.fromAgentAndTools({
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agent,
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tools,
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});
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const response = await agentExecutor.withConfig(getTracingConfig(this)).invoke({
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content: input,
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signal: this.getExecutionCancelSignal(),
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timeout: options.timeout ?? 10000,
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});
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returnData.push({ json: response });
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} catch (error) {
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if (this.continueOnFail()) {
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returnData.push({ json: { error: error.message }, pairedItem: { item: itemIndex } });
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continue;
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}
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throw error;
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}
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}
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return [returnData];
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}
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}
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