96 lines
3.5 KiB
TypeScript
96 lines
3.5 KiB
TypeScript
import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents'
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import { CustomChainHandler, getBaseClasses } from '../../../src/utils'
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import { BaseLanguageModel } from 'langchain/base_language'
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import { flatten } from 'lodash'
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import { BaseChatMemory, ChatMessageHistory } from 'langchain/memory'
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import { AIChatMessage, HumanChatMessage } from 'langchain/schema'
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class OpenAIFunctionAgent_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 = 'OpenAI Function Agent'
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this.name = 'openAIFunctionAgent'
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this.type = 'AgentExecutor'
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this.category = 'Agents'
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this.icon = 'openai.png'
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this.description = `An agent that uses OpenAI's Function Calling functionality to pick the tool and args to call`
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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: 'Allowed Tools',
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name: 'tools',
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type: 'Tool',
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list: true
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},
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{
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label: 'Memory',
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name: 'memory',
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type: 'BaseChatMemory'
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},
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{
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label: 'OpenAI Chat Model',
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name: 'model',
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description:
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'Only works with gpt-3.5-turbo-0613 and gpt-4-0613. Refer <a target="_blank" href="https://platform.openai.com/docs/guides/gpt/function-calling">docs</a> for more info',
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type: 'BaseChatModel'
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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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const model = nodeData.inputs?.model as BaseLanguageModel
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const memory = nodeData.inputs?.memory as BaseChatMemory
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let tools = nodeData.inputs?.tools
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tools = flatten(tools)
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const executor = await initializeAgentExecutorWithOptions(tools, model, {
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agentType: 'openai-functions',
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verbose: process.env.DEBUG === 'true' ? true : false
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})
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if (memory) executor.memory = memory
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return executor
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}
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async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
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const executor = nodeData.instance as AgentExecutor
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const memory = nodeData.inputs?.memory as BaseChatMemory
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if (options && options.chatHistory) {
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const chatHistory = []
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const histories: IMessage[] = options.chatHistory
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for (const message of histories) {
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if (message.type === 'apiMessage') {
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chatHistory.push(new AIChatMessage(message.message))
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} else if (message.type === 'userMessage') {
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chatHistory.push(new HumanChatMessage(message.message))
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}
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}
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memory.chatHistory = new ChatMessageHistory(chatHistory)
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executor.memory = memory
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}
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if (options.socketIO && options.socketIOClientId) {
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const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
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const result = await executor.run(input, [handler])
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return result
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} else {
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const result = await executor.run(input)
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return result
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}
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}
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}
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module.exports = { nodeClass: OpenAIFunctionAgent_Agents }
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