import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface' import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents' import { Tool } from 'langchain/tools' import { CustomChainHandler, getBaseClasses } from '../../../src/utils' import { BaseLanguageModel } from 'langchain/base_language' import { flatten } from 'lodash' class OpenAIFunctionAgent_Agents implements INode { label: string name: string description: string type: string icon: string category: string baseClasses: string[] inputs: INodeParams[] constructor() { this.label = 'OpenAI Function Agent' this.name = 'openAIFunctionAgent' this.type = 'AgentExecutor' this.category = 'Agents' this.icon = 'openai.png' this.description = `An agent that uses OpenAI's Function Calling functionality to pick the tool and args to call` this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)] this.inputs = [ { label: 'Allowed Tools', name: 'tools', type: 'Tool', list: true }, { label: 'OpenAI Chat Model', name: 'model', description: 'Only works with gpt-3.5-turbo-0613 and gpt-4-0613. Refer docs for more info', type: 'BaseChatModel' } ] } async init(nodeData: INodeData): Promise { const model = nodeData.inputs?.model as BaseLanguageModel let tools = nodeData.inputs?.tools as Tool[] tools = flatten(tools) const executor = await initializeAgentExecutorWithOptions(tools, model, { agentType: 'openai-functions', verbose: process.env.DEBUG === 'true' ? true : false }) return executor } async run(nodeData: INodeData, input: string, options: ICommonObject): Promise { const executor = nodeData.instance as AgentExecutor if (options.socketIO && options.socketIOClientId) { const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId) const result = await executor.run(input, [handler]) return result } else { const result = await executor.run(input) return result } } } module.exports = { nodeClass: OpenAIFunctionAgent_Agents }