Flowise/packages/components/nodes/chains/LLMChain/LLMChain.ts

62 lines
1.7 KiB
TypeScript

import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
class LLMChain_Chains implements INode {
label: string
name: string
type: string
icon: string
category: string
baseClasses: string[]
description: string
inputs: INodeParams[]
constructor() {
this.label = 'LLM Chain'
this.name = 'llmChain'
this.type = 'LLMChain'
this.icon = 'chain.svg'
this.category = 'Chains'
this.description = 'Chain to run queries against LLMs'
this.inputs = [
{
label: 'LLM',
name: 'llm',
type: 'BaseLanguageModel'
},
{
label: 'Prompt',
name: 'prompt',
type: 'BasePromptTemplate'
}
]
}
async getBaseClasses(): Promise<string[]> {
const { LLMChain } = await import('langchain/chains')
return getBaseClasses(LLMChain)
}
async init(nodeData: INodeData): Promise<any> {
const { LLMChain } = await import('langchain/chains')
const llm = nodeData.inputs?.llm
const prompt = nodeData.inputs?.prompt
const chain = new LLMChain({ llm, prompt })
return chain
}
async run(nodeData: INodeData, input: string): Promise<string> {
const prompt = nodeData.instance.prompt.inputVariables // ["product"]
if (prompt.length > 1) throw new Error('Prompt can only contains 1 literal string {}. Multiples are found')
const chain = nodeData.instance
const res = await chain.run(input)
return res
}
}
module.exports = { nodeClass: LLMChain_Chains }