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import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { initializeAgentExecutorWithOptions, AgentExecutor } from 'langchain/agents'
import { Tool } from 'langchain/tools'
import { getBaseClasses } from '../../../src/utils'
import { BaseLanguageModel } from 'langchain/base_language'
import { flatten } from 'lodash'
class MRKLAgentLLM_Agents implements INode {
label: string
name: string
description: string
type: string
icon: string
category: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'MRKL Agent for LLMs'
this.name = 'mrklAgentLLM'
this.type = 'AgentExecutor'
this.category = 'Agents'
this.icon = 'agent.svg'
this.description = 'Agent that uses the ReAct Framework to decide what action to take, optimized to be used with LLMs'
this.baseClasses = [this.type, ...getBaseClasses(AgentExecutor)]
this.inputs = [
{
label: 'Allowed Tools',
name: 'tools',
type: 'Tool',
list: true
},
{
label: 'Language Model',
name: 'model',
type: 'BaseLanguageModel'
}
]
}
async init(nodeData: INodeData): Promise<any> {
const model = nodeData.inputs?.model as BaseLanguageModel
let tools = nodeData.inputs?.tools as Tool[]
tools = flatten(tools)
const executor = await initializeAgentExecutorWithOptions(tools, model, {
agentType: 'zero-shot-react-description',
verbose: process.env.DEBUG === 'true' ? true : false
})
return executor
}
async run(nodeData: INodeData, input: string): Promise<string> {
const executor = nodeData.instance as AgentExecutor
const result = await executor.call({ input })
return result?.output
}
}
module.exports = { nodeClass: MRKLAgentLLM_Agents }
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