136 lines
5.1 KiB
TypeScript
136 lines
5.1 KiB
TypeScript
import { BaseCache } from '@langchain/core/caches'
|
|
import { HFInput, HuggingFaceInference } from './core'
|
|
import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
|
|
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
|
|
|
|
class ChatHuggingFace_ChatModels implements INode {
|
|
label: string
|
|
name: string
|
|
version: number
|
|
type: string
|
|
icon: string
|
|
category: string
|
|
description: string
|
|
baseClasses: string[]
|
|
credential: INodeParams
|
|
inputs: INodeParams[]
|
|
|
|
constructor() {
|
|
this.label = 'ChatHuggingFace'
|
|
this.name = 'chatHuggingFace'
|
|
this.version = 2.0
|
|
this.type = 'ChatHuggingFace'
|
|
this.icon = 'HuggingFace.svg'
|
|
this.category = 'Chat Models'
|
|
this.description = 'Wrapper around HuggingFace large language models'
|
|
this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(HuggingFaceInference)]
|
|
this.credential = {
|
|
label: 'Connect Credential',
|
|
name: 'credential',
|
|
type: 'credential',
|
|
credentialNames: ['huggingFaceApi']
|
|
}
|
|
this.inputs = [
|
|
{
|
|
label: 'Cache',
|
|
name: 'cache',
|
|
type: 'BaseCache',
|
|
optional: true
|
|
},
|
|
{
|
|
label: 'Model',
|
|
name: 'model',
|
|
type: 'string',
|
|
description: 'If using own inference endpoint, leave this blank',
|
|
placeholder: 'gpt2',
|
|
optional: true
|
|
},
|
|
{
|
|
label: 'Endpoint',
|
|
name: 'endpoint',
|
|
type: 'string',
|
|
placeholder: 'https://xyz.eu-west-1.aws.endpoints.huggingface.cloud/gpt2',
|
|
description: 'Using your own inference endpoint',
|
|
optional: true
|
|
},
|
|
{
|
|
label: 'Temperature',
|
|
name: 'temperature',
|
|
type: 'number',
|
|
step: 0.1,
|
|
description: 'Temperature parameter may not apply to certain model. Please check available model parameters',
|
|
optional: true,
|
|
additionalParams: true
|
|
},
|
|
{
|
|
label: 'Max Tokens',
|
|
name: 'maxTokens',
|
|
type: 'number',
|
|
step: 1,
|
|
description: 'Max Tokens parameter may not apply to certain model. Please check available model parameters',
|
|
optional: true,
|
|
additionalParams: true
|
|
},
|
|
{
|
|
label: 'Top Probability',
|
|
name: 'topP',
|
|
type: 'number',
|
|
step: 0.1,
|
|
description: 'Top Probability parameter may not apply to certain model. Please check available model parameters',
|
|
optional: true,
|
|
additionalParams: true
|
|
},
|
|
{
|
|
label: 'Top K',
|
|
name: 'hfTopK',
|
|
type: 'number',
|
|
step: 0.1,
|
|
description: 'Top K parameter may not apply to certain model. Please check available model parameters',
|
|
optional: true,
|
|
additionalParams: true
|
|
},
|
|
{
|
|
label: 'Frequency Penalty',
|
|
name: 'frequencyPenalty',
|
|
type: 'number',
|
|
step: 0.1,
|
|
description: 'Frequency Penalty parameter may not apply to certain model. Please check available model parameters',
|
|
optional: true,
|
|
additionalParams: true
|
|
}
|
|
]
|
|
}
|
|
|
|
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
|
|
const model = nodeData.inputs?.model as string
|
|
const temperature = nodeData.inputs?.temperature as string
|
|
const maxTokens = nodeData.inputs?.maxTokens as string
|
|
const topP = nodeData.inputs?.topP as string
|
|
const hfTopK = nodeData.inputs?.hfTopK as string
|
|
const frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
|
|
const endpoint = nodeData.inputs?.endpoint as string
|
|
const cache = nodeData.inputs?.cache as BaseCache
|
|
|
|
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
|
|
const huggingFaceApiKey = getCredentialParam('huggingFaceApiKey', credentialData, nodeData)
|
|
|
|
const obj: Partial<HFInput> = {
|
|
model,
|
|
apiKey: huggingFaceApiKey
|
|
}
|
|
|
|
if (temperature) obj.temperature = parseFloat(temperature)
|
|
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
|
|
if (topP) obj.topP = parseFloat(topP)
|
|
if (hfTopK) obj.topK = parseFloat(hfTopK)
|
|
if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
|
|
if (endpoint) obj.endpoint = endpoint
|
|
|
|
const huggingFace = new HuggingFaceInference(obj)
|
|
if (cache) huggingFace.cache = cache
|
|
return huggingFace
|
|
}
|
|
}
|
|
|
|
module.exports = { nodeClass: ChatHuggingFace_ChatModels }
|