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import { INode, INodeData, INodeParams } from '../../../src/Interface' |
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import { getBaseClasses } 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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class ChatLocalAI_ChatModels implements INode { |
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label: string |
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name: string |
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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 = 'ChatLocalAI' |
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this.name = 'chatLocalAI' |
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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.inputs = [ |
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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: 'string', |
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placeholder: 'gpt4all-lora-quantized.bin' |
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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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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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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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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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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): 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 obj: Partial<OpenAIChatInput> & { openAIApiKey?: string } = { |
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temperature: parseInt(temperature, 10), |
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modelName, |
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openAIApiKey: 'sk-' |
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} |
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if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10) |
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if (topP) obj.topP = parseInt(topP, 10) |
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if (timeout) obj.timeout = parseInt(timeout, 10) |
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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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