rohan13's picture
Flowise Changes
4114d85
import { INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses } from '../../../src/utils'
import { OpenAIChat } from 'langchain/llms/openai'
import { OpenAIChatInput } from 'langchain/chat_models/openai'
class ChatLocalAI_ChatModels implements INode {
label: string
name: string
type: string
icon: string
category: string
description: string
baseClasses: string[]
inputs: INodeParams[]
constructor() {
this.label = 'ChatLocalAI'
this.name = 'chatLocalAI'
this.type = 'ChatLocalAI'
this.icon = 'localai.png'
this.category = 'Chat Models'
this.description = 'Use local LLMs like llama.cpp, gpt4all using LocalAI'
this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(OpenAIChat)]
this.inputs = [
{
label: 'Base Path',
name: 'basePath',
type: 'string',
placeholder: 'http://localhost:8080/v1'
},
{
label: 'Model Name',
name: 'modelName',
type: 'string',
placeholder: 'gpt4all-lora-quantized.bin'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
default: 0.9,
optional: true
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
optional: true,
additionalParams: true
}
]
}
async init(nodeData: INodeData): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as string
const maxTokens = nodeData.inputs?.maxTokens as string
const topP = nodeData.inputs?.topP as string
const timeout = nodeData.inputs?.timeout as string
const basePath = nodeData.inputs?.basePath as string
const obj: Partial<OpenAIChatInput> & { openAIApiKey?: string } = {
temperature: parseInt(temperature, 10),
modelName,
openAIApiKey: 'sk-'
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseInt(topP, 10)
if (timeout) obj.timeout = parseInt(timeout, 10)
const model = new OpenAIChat(obj, { basePath })
return model
}
}
module.exports = { nodeClass: ChatLocalAI_ChatModels }