107 lines
4.0 KiB
TypeScript
107 lines
4.0 KiB
TypeScript
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents'
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import { getBaseClasses, mapChatHistory } from '../../../src/utils'
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import { flatten } from 'lodash'
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import { BaseChatMemory } from 'langchain/memory'
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import { ConsoleCallbackHandler, CustomChainHandler, additionalCallbacks } from '../../../src/handler'
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const defaultMessage = `Do your best to answer the questions. Feel free to use any tools available to look up relevant information, only if necessary.`
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class ConversationalRetrievalAgent_Agents implements INode {
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label: string
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name: string
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version: number
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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 = 'Conversational Retrieval Agent'
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this.name = 'conversationalRetrievalAgent'
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this.version = 3.0
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this.type = 'AgentExecutor'
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this.category = 'Agents'
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this.icon = 'agent.svg'
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this.description = `An agent optimized for retrieval during conversation, answering questions based on past dialogue, all using OpenAI's Function Calling`
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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/Azure Chat Model',
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name: 'model',
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type: 'BaseChatModel'
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},
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{
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label: 'System Message',
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name: 'systemMessage',
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type: 'string',
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default: defaultMessage,
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rows: 4,
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optional: true,
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additionalParams: true
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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
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const memory = nodeData.inputs?.memory as BaseChatMemory
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const systemMessage = nodeData.inputs?.systemMessage as string
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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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agentArgs: {
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prefix: systemMessage ?? defaultMessage
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},
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returnIntermediateSteps: true
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})
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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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if (executor.memory) {
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;(executor.memory as any).memoryKey = 'chat_history'
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;(executor.memory as any).outputKey = 'output'
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const chatHistoryClassName = (executor.memory as any).chatHistory.constructor.name
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// Only replace when its In-Memory
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if (chatHistoryClassName && chatHistoryClassName === 'ChatMessageHistory') {
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;(executor.memory as any).chatHistory = mapChatHistory(options)
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}
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}
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const loggerHandler = new ConsoleCallbackHandler(options.logger)
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const callbacks = await additionalCallbacks(nodeData, options)
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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.call({ input }, [loggerHandler, handler, ...callbacks])
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return result?.output
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} else {
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const result = await executor.call({ input }, [loggerHandler, ...callbacks])
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return result?.output
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}
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}
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}
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module.exports = { nodeClass: ConversationalRetrievalAgent_Agents }
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