72 lines
2.3 KiB
TypeScript
72 lines
2.3 KiB
TypeScript
import { getBaseClasses, getCredentialData, getCredentialParam, ICommonObject, INode, INodeData, INodeParams } from '../../../src'
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import { OpenAI } from '@langchain/openai'
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import { BaseCache } from '@langchain/core/caches'
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class Sambanova_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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credential: INodeParams
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inputs: INodeParams[]
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constructor() {
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this.label = 'Sambanova'
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this.name = 'sambanova'
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this.version = 1.0
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this.type = 'Sambanova'
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this.icon = 'sambanova.png'
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this.category = 'LLMs'
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this.description = 'Wrapper around Sambanova API for large language models'
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this.baseClasses = [this.type, ...getBaseClasses(OpenAI)]
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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: ['sambanovaApi']
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}
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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: 'Model Name',
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name: 'modelName',
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type: 'string',
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default: 'Meta-Llama-3.3-70B-Instruct',
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description: 'For more details see https://docs.sambanova.ai/cloud/docs/get-started/supported-models',
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optional: 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 cache = nodeData.inputs?.cache as BaseCache
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const modelName = nodeData.inputs?.modelName as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const sambanovaKey = getCredentialParam('sambanovaApiKey', credentialData, nodeData)
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const obj: any = {
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model: modelName,
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configuration: {
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baseURL: 'https://api.sambanova.ai/v1',
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apiKey: sambanovaKey
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}
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}
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if (cache) obj.cache = cache
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const sambanova = new OpenAI(obj)
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return sambanova
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}
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}
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module.exports = { nodeClass: Sambanova_LLMs }
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