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https://github.com/farcasclaudiu/Flowise.git
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add conversational retrieval agent
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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 } from '../../../src/handler'
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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 = 1.0
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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 Chat Model',
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name: 'model',
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type: 'ChatOpenAI'
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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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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 ?? `You are a helpful AI assistant.`
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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 (options && options.chatHistory) {
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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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;(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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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])
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return result?.output
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} else {
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const result = await executor.call({ input }, [loggerHandler])
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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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@@ -0,0 +1,9 @@
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<svg xmlns="http://www.w3.org/2000/svg" class="icon icon-tabler icon-tabler-robot" width="24" height="24" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round">
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<path stroke="none" d="M0 0h24v24H0z" fill="none"></path>
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<path d="M7 7h10a2 2 0 0 1 2 2v1l1 1v3l-1 1v3a2 2 0 0 1 -2 2h-10a2 2 0 0 1 -2 -2v-3l-1 -1v-3l1 -1v-1a2 2 0 0 1 2 -2z"></path>
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<path d="M10 16h4"></path>
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<circle cx="8.5" cy="11.5" r=".5" fill="currentColor"></circle>
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<circle cx="15.5" cy="11.5" r=".5" fill="currentColor"></circle>
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<path d="M9 7l-1 -4"></path>
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<path d="M15 7l1 -4"></path>
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</svg>
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