69 lines
2.1 KiB
TypeScript
69 lines
2.1 KiB
TypeScript
import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses } from '../../../src/utils'
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import { NIBittensorLLM, BittensorInput } from 'langchain/experimental/llms/bittensor'
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import { BaseCache } from 'langchain/schema'
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import { BaseLLMParams } from 'langchain/llms/base'
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class Bittensor_LLMs implements INode {
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label: string
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name: string
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version: number
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type: string
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icon: string
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category: string
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description: string
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baseClasses: string[]
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inputs: INodeParams[]
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constructor() {
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this.label = 'NIBittensorLLM'
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this.name = 'NIBittensorLLM'
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this.version = 2.0
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this.type = 'Bittensor'
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this.icon = 'NIBittensor.svg'
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this.category = 'LLMs'
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this.description = 'Wrapper around Bittensor subnet 1 large language models'
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this.baseClasses = [this.type, ...getBaseClasses(NIBittensorLLM)]
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this.inputs = [
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{
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label: 'Cache',
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name: 'cache',
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type: 'BaseCache',
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optional: true
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},
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{
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label: 'System prompt',
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name: 'system_prompt',
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type: 'string',
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additionalParams: true,
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optional: true
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},
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{
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label: 'Top Responses',
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name: 'topResponses',
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type: 'number',
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step: 1,
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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, _: string): Promise<any> {
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const system_prompt = nodeData.inputs?.system_prompt as string
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const topResponses = Number(nodeData.inputs?.topResponses as number)
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const cache = nodeData.inputs?.cache as BaseCache
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const obj: Partial<BittensorInput> & BaseLLMParams = {
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systemPrompt: system_prompt,
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topResponses: topResponses
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}
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if (cache) obj.cache = cache
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const model = new NIBittensorLLM(obj)
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return model
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}
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}
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module.exports = { nodeClass: Bittensor_LLMs }
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