Flowise/packages/components/nodes/agents/ConversationalRetrievalAgent/ConversationalRetrievalAgen...

101 lines
3.5 KiB
TypeScript

import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents'
import { getBaseClasses, mapChatHistory } from '../../../src/utils'
import { flatten } from 'lodash'
import { BaseChatMemory } from 'langchain/memory'
import { ConsoleCallbackHandler, CustomChainHandler } from '../../../src/handler'
class ConversationalRetrievalAgent_Agents implements INode {
label: string
name: string
version: number
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'Conversational Retrieval Agent'
this.name = 'conversationalRetrievalAgent'
this.version = 1.0
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'
this.description = `An agent optimized for retrieval during conversation, answering questions based on past dialogue, all using OpenAI's Function Calling`
this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)]
this.inputs = [
{
label: 'Allowed Tools',
name: 'tools',
type: 'Tool',
list: true
},
{
label: 'Memory',
name: 'memory',
type: 'BaseChatMemory'
},
{
label: 'OpenAI Chat Model',
name: 'model',
type: 'ChatOpenAI'
},
{
label: 'System Message',
name: 'systemMessage',
type: 'string',
rows: 4,
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const model = nodeData.inputs?.model
const memory = nodeData.inputs?.memory as BaseChatMemory
const systemMessage = nodeData.inputs?.systemMessage as string
let tools = nodeData.inputs?.tools
tools = flatten(tools)
const executor = await initializeAgentExecutorWithOptions(tools, model, {
agentType: 'openai-functions',
verbose: process.env.DEBUG === 'true' ? true : false,
agentArgs: {
prefix: systemMessage ?? `You are a helpful AI assistant.`
},
returnIntermediateSteps: true
})
executor.memory = memory
return executor
}
async run(nodeData: INodeData, input: string, options: ICommonObject): Promise<string> {
const executor = nodeData.instance as AgentExecutor
if (options && options.chatHistory) {
if (executor.memory) {
;(executor.memory as any).memoryKey = 'chat_history'
;(executor.memory as any).outputKey = 'output'
;(executor.memory as any).chatHistory = mapChatHistory(options)
}
}
const loggerHandler = new ConsoleCallbackHandler(options.logger)
if (options.socketIO && options.socketIOClientId) {
const handler = new CustomChainHandler(options.socketIO, options.socketIOClientId)
const result = await executor.call({ input }, [loggerHandler, handler])
return result?.output
} else {
const result = await executor.call({ input }, [loggerHandler])
return result?.output
}
}
}
module.exports = { nodeClass: ConversationalRetrievalAgent_Agents }