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import { ICommonObject, IMessage, INode, INodeData, INodeParams } from '../../../src/Interface'
import { initializeAgentExecutorWithOptions, AgentExecutor, InitializeAgentExecutorOptions } from 'langchain/agents'
import { Tool } from 'langchain/tools'
import { BaseChatMemory, ChatMessageHistory } from 'langchain/memory'
import { getBaseClasses } from '../../../src/utils'
import { AIChatMessage, HumanChatMessage } from 'langchain/schema'
import { BaseLanguageModel } from 'langchain/base_language'
import { flatten } from 'lodash'
class ConversationalAgent_Agents implements INode {
label: string
name: string
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Conversational Agent'
this.name = 'conversationalAgent'
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'
this.description = 'Conversational agent for a chat model. It will utilize chat specific prompts'
this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)]
this.inputs = [
{
label: 'Allowed Tools',
name: 'tools',
type: 'Tool',
list: true
},
{
label: 'Language Model',
name: 'model',
type: 'BaseLanguageModel'
},
{
label: 'Memory',
name: 'memory',
type: 'BaseChatMemory'
},
{
label: 'System Message',
name: 'systemMessage',
type: 'string',
rows: 4,
optional: true,
additionalParams: true
},
{
label: 'Human Message',
name: 'humanMessage',
type: 'string',
rows: 4,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const model = nodeData.inputs?.model as BaseLanguageModel
let tools = nodeData.inputs?.tools as Tool[]
tools = flatten(tools)
const memory = nodeData.inputs?.memory as BaseChatMemory
const humanMessage = nodeData.inputs?.humanMessage as string
const systemMessage = nodeData.inputs?.systemMessage as string
const obj: InitializeAgentExecutorOptions = {
agentType: 'chat-conversational-react-description',
verbose: process.env.DEBUG === 'true' ? true : false
}
const agentArgs: any = {}
if (humanMessage) {
agentArgs.humanMessage = humanMessage
}
if (systemMessage) {
agentArgs.systemMessage = systemMessage
}
if (Object.keys(agentArgs).length) obj.agentArgs = agentArgs
const executor = await initializeAgentExecutorWithOptions(tools, model, obj)
executor.memory = memory
return executor
}
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const executor = nodeData.instance as AgentExecutor
const memory = nodeData.inputs?.memory as BaseChatMemory
if (options && options.chatHistory) {
const chatHistory = []
const histories: IMessage[] = options.chatHistory
for (const message of histories) {
if (message.type === 'apiMessage') {
chatHistory.push(new AIChatMessage(message.message))
} else if (message.type === 'userMessage') {
chatHistory.push(new HumanChatMessage(message.message))
}
}
memory.chatHistory = new ChatMessageHistory(chatHistory)
executor.memory = memory
}
const result = await executor.call({ input })
return result?.output
}
}
module.exports = { nodeClass: ConversationalAgent_Agents }
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