126 lines
4.1 KiB
TypeScript
126 lines
4.1 KiB
TypeScript
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { OpenAIChat } from 'langchain/llms/openai'
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import { OpenAIChatInput } from 'langchain/chat_models/openai'
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import { BaseCache } from 'langchain/schema'
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import { BaseLLMParams } from 'langchain/llms/base'
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class ChatLocalAI_ChatModels 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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credential: INodeParams
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inputs: INodeParams[]
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constructor() {
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this.label = 'ChatLocalAI'
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this.name = 'chatLocalAI'
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this.version = 2.0
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this.type = 'ChatLocalAI'
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this.icon = 'localai.png'
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this.category = 'Chat Models'
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this.description = 'Use local LLMs like llama.cpp, gpt4all using LocalAI'
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this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(OpenAIChat)]
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this.credential = {
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label: 'Connect Credential',
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name: 'credential',
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type: 'credential',
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credentialNames: ['LocalAIApi'],
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optional: true
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}
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const modelOptions = JSON.parse(process.env.LOCALAI_CHAT_MODELS || '[]');
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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: 'Base Path',
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name: 'basePath',
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type: 'string',
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placeholder: 'http://localhost:8080/v1'
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},
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{
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label: 'Model Name',
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name: 'modelName',
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type: 'options',
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options: modelOptions,
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default: modelOptions.length > 0 ? modelOptions[0].name : '',
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optional: true
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},
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{
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label: 'Temperature',
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name: 'temperature',
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type: 'number',
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step: 0.1,
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default: 0.9,
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optional: true
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},
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{
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label: 'Max Tokens',
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name: 'maxTokens',
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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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label: 'Top Probability',
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name: 'topP',
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type: 'number',
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step: 0.1,
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optional: true,
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additionalParams: true
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},
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{
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label: 'Timeout',
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name: 'timeout',
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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, options: ICommonObject): Promise<any> {
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const temperature = nodeData.inputs?.temperature as string
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const modelName = nodeData.inputs?.modelName as string
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const maxTokens = nodeData.inputs?.maxTokens as string
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const topP = nodeData.inputs?.topP as string
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const timeout = nodeData.inputs?.timeout as string
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const basePath = nodeData.inputs?.basePath as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const openAIApiKey = getCredentialParam('LocalAIApiKey', credentialData, nodeData)
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const cache = nodeData.inputs?.cache as BaseCache
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const obj: Partial<OpenAIChatInput> & BaseLLMParams & { openAIApiKey?: string } = {
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temperature: parseFloat(temperature),
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modelName,
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openAIApiKey
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}
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if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
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if (topP) obj.topP = parseFloat(topP)
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if (timeout) obj.timeout = parseInt(timeout, 10)
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if (cache) obj.cache = cache
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const model = new OpenAIChat(obj, { basePath })
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return model
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}
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}
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module.exports = { nodeClass: ChatLocalAI_ChatModels }
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