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| 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<any> { | |
| 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 obj: Partial<AzureOpenAIInput> & Partial<OpenAIInput> = { | |
| temperature: parseInt(temperature, 10), | |
| modelName, | |
| azureOpenAIApiKey, | |
| azureOpenAIApiInstanceName, | |
| azureOpenAIApiDeploymentName, | |
| azureOpenAIApiVersion | |
| } | |
| 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 } | |