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feature/Op
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { AgentExecutor } from 'langchain/agents'
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import { getBaseClasses } from '../../../src/utils'
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import * as yaml from 'js-yaml'
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import { OpenAI } from 'langchain/llms/openai'
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import { JsonSpec, JsonObject } from 'langchain/tools'
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import { createOpenApiAgent, OpenApiToolkit } from 'langchain/agents'
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class OpenAPIAgent_Agents implements INode {
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label: string
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name: string
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description: string
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type: string
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icon: string
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category: string
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baseClasses: string[]
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inputs: INodeParams[]
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constructor() {
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this.label = 'OpenAPI Agent'
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this.name = 'openAPIAgent'
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this.type = 'AgentExecutor'
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this.category = 'Agents'
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this.icon = 'openapi.svg'
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this.description = 'Conversational agent for a chat model. It will utilize chat specific prompts'
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this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)]
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this.inputs = [
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{
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label: 'YAML File',
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name: 'yamlFile',
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type: 'string',
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placeholder: 'https://github.com/openai/openai-openapi/blob/master/openapi.yaml'
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},
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{
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label: 'Headers',
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name: 'headers',
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type: 'string',
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rows: 4,
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default: `{
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"Content-Type": "application/json",
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}`,
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placeholder: `{
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"Content-Type": "application/json",
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"Authorization": "Bearer <api-key>",
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}`
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},
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{
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label: 'Language Model',
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name: 'model',
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type: 'BaseLanguageModel'
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}
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]
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}
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async init(nodeData: INodeData): Promise<any> {
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/*
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const model = nodeData.inputs?.model as BaseChatModel
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const tools = nodeData.inputs?.tools as Tool[]
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const memory = nodeData.inputs?.memory as BaseChatMemory
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const humanMessage = nodeData.inputs?.humanMessage as string
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const systemMessage = nodeData.inputs?.systemMessage as string
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const obj: InitializeAgentExecutorOptions = {
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agentType: 'chat-conversational-react-description',
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verbose: true
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}
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const agentArgs: any = {}
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if (humanMessage) {
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agentArgs.humanMessage = humanMessage
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}
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if (systemMessage) {
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agentArgs.systemMessage = systemMessage
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}
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if (Object.keys(agentArgs).length) obj.agentArgs = agentArgs
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const executor = await initializeAgentExecutorWithOptions(tools, model, obj)
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executor.memory = memory
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return executor*/
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return null
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}
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async run(nodeData: INodeData, input: string): Promise<string> {
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let data: JsonObject
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try {
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// const yamlFile = fs.readFileSync("openai_openapi.yaml", "utf8");
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data = yaml.load('https://github.com/openai/openai-openapi/blob/master/openapi.yaml') as JsonObject
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if (!data) {
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throw new Error('Failed to load OpenAPI spec')
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}
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} catch (e) {
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console.error(e)
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return ''
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}
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const headers = {
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'Content-Type': 'application/json',
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Authorization: `Bearer `
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}
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const model = new OpenAI({ temperature: 0 })
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const toolkit = new OpenApiToolkit(new JsonSpec(data), model, headers)
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const executor = createOpenApiAgent(model, toolkit)
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const result = await executor.call({ input })
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console.log(`Got output ${result.output}`)
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return result?.output
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}
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}
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module.exports = { nodeClass: OpenAPIAgent_Agents }
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@ -0,0 +1,7 @@
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<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-api" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
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<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
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<path d="M4 13h5"></path>
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<path d="M12 16v-8h3a2 2 0 0 1 2 2v1a2 2 0 0 1 -2 2h-3"></path>
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<path d="M20 8v8"></path>
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<path d="M9 16v-5.5a2.5 2.5 0 0 0 -5 0v5.5"></path>
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</svg>
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After Width: | Height: | Size: 470 B |
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@ -27,6 +27,7 @@
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"dotenv": "^16.0.0",
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"dotenv": "^16.0.0",
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"express": "^4.17.3",
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"express": "^4.17.3",
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"form-data": "^4.0.0",
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"form-data": "^4.0.0",
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"js-yaml": "^4.1.0",
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"langchain": "^0.0.63",
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"langchain": "^0.0.63",
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"mammoth": "^1.5.1",
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"mammoth": "^1.5.1",
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"moment": "^2.29.3",
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"moment": "^2.29.3",
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@ -36,6 +37,7 @@
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},
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},
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"devDependencies": {
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"devDependencies": {
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"@types/gulp": "4.0.9",
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"@types/gulp": "4.0.9",
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"@types/js-yaml": "^4.0.5",
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"@types/ws": "^8.5.3",
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"@types/ws": "^8.5.3",
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"gulp": "^4.0.2",
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"gulp": "^4.0.2",
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"typescript": "^4.8.4"
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"typescript": "^4.8.4"
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