import { INode, INodeData, INodeParams } from '../../../src/Interface' import { getBaseClasses } from '../../../src/utils' import { AzureOpenAIInput, OpenAI, OpenAIInput } from 'langchain/llms/openai' class AzureOpenAI_LLMs implements INode { label: string name: string type: string icon: string category: string description: string baseClasses: string[] inputs: INodeParams[] constructor() { this.label = 'Azure OpenAI' this.name = 'azureOpenAI' this.type = 'AzureOpenAI' this.icon = 'Azure.svg' this.category = 'LLMs' this.description = 'Wrapper around Azure OpenAI large language models' this.baseClasses = [this.type, ...getBaseClasses(OpenAI)] this.inputs = [ { label: 'Azure OpenAI Api Key', name: 'azureOpenAIApiKey', type: 'password' }, { label: 'Model Name', name: 'modelName', type: 'options', options: [ { label: 'text-davinci-003', name: 'text-davinci-003' }, { label: 'ada', name: 'ada' }, { label: 'text-ada-001', name: 'text-ada-001' }, { label: 'babbage', name: 'babbage' }, { label: 'text-babbage-001', name: 'text-babbage-001' }, { label: 'curie', name: 'curie' }, { label: 'text-curie-001', name: 'text-curie-001' }, { label: 'davinci', name: 'davinci' }, { label: 'text-davinci-001', name: 'text-davinci-001' }, { label: 'text-davinci-002', name: 'text-davinci-002' }, { label: 'text-davinci-fine-tune-002', name: 'text-davinci-fine-tune-002' }, { label: 'gpt-35-turbo', name: 'gpt-35-turbo' } ], default: 'text-davinci-003', optional: true }, { label: 'Temperature', name: 'temperature', type: 'number', default: 0.9, optional: true }, { label: 'Azure OpenAI Api Instance Name', name: 'azureOpenAIApiInstanceName', type: 'string', placeholder: 'YOUR-INSTANCE-NAME' }, { label: 'Azure OpenAI Api Deployment Name', name: 'azureOpenAIApiDeploymentName', type: 'string', placeholder: 'YOUR-DEPLOYMENT-NAME' }, { label: 'Azure OpenAI Api Version', name: 'azureOpenAIApiVersion', type: 'options', options: [ { label: '2023-03-15-preview', name: '2023-03-15-preview' }, { label: '2022-12-01', name: '2022-12-01' } ], default: '2023-03-15-preview' }, { label: 'Max Tokens', name: 'maxTokens', type: 'number', optional: true, additionalParams: true }, { label: 'Top Probability', name: 'topP', type: 'number', optional: true, additionalParams: true }, { label: 'Best Of', name: 'bestOf', type: 'number', optional: true, additionalParams: true }, { label: 'Frequency Penalty', name: 'frequencyPenalty', type: 'number', optional: true, additionalParams: true }, { label: 'Presence Penalty', name: 'presencePenalty', type: 'number', optional: true, additionalParams: true }, { label: 'Timeout', name: 'timeout', type: 'number', optional: true, additionalParams: true } ] } async init(nodeData: INodeData): Promise { const azureOpenAIApiKey = nodeData.inputs?.azureOpenAIApiKey as string const temperature = nodeData.inputs?.temperature as string const modelName = nodeData.inputs?.modelName as string const azureOpenAIApiInstanceName = nodeData.inputs?.azureOpenAIApiInstanceName as string const azureOpenAIApiDeploymentName = nodeData.inputs?.azureOpenAIApiDeploymentName as string const azureOpenAIApiVersion = nodeData.inputs?.azureOpenAIApiVersion as string const maxTokens = nodeData.inputs?.maxTokens as string const topP = nodeData.inputs?.topP as string const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string const presencePenalty = nodeData.inputs?.presencePenalty as string const timeout = nodeData.inputs?.timeout as string const bestOf = nodeData.inputs?.bestOf as string const streaming = nodeData.inputs?.streaming as boolean const obj: Partial & Partial = { temperature: parseInt(temperature, 10), modelName, azureOpenAIApiKey, azureOpenAIApiInstanceName, azureOpenAIApiDeploymentName, azureOpenAIApiVersion, streaming: streaming ?? true } if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) if (topP) obj.topP = parseInt(topP, 10) if (frequencyPenalty) obj.frequencyPenalty = parseInt(frequencyPenalty, 10) if (presencePenalty) obj.presencePenalty = parseInt(presencePenalty, 10) if (timeout) obj.timeout = parseInt(timeout, 10) if (bestOf) obj.bestOf = parseInt(bestOf, 10) const model = new OpenAI(obj) return model } } module.exports = { nodeClass: AzureOpenAI_LLMs }