Flowise/packages/components/nodes/chatmodels/ChatAnthropic/ChatAnthropic_LlamaIndex.ts

101 lines
3.3 KiB
TypeScript

import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
import { MODEL_TYPE, getModels } from '../../../src/modelLoader'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { Anthropic } from 'llamaindex'
class ChatAnthropic_LlamaIndex_ChatModels implements INode {
label: string
name: string
version: number
type: string
icon: string
category: string
description: string
tags: string[]
baseClasses: string[]
credential: INodeParams
inputs: INodeParams[]
constructor() {
this.label = 'ChatAnthropic'
this.name = 'chatAnthropic_LlamaIndex'
this.version = 3.0
this.type = 'ChatAnthropic'
this.icon = 'Anthropic.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around ChatAnthropic LLM specific for LlamaIndex'
this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...getBaseClasses(Anthropic)]
this.tags = ['LlamaIndex']
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['anthropicApi']
}
this.inputs = [
{
label: 'Model Name',
name: 'modelName',
type: 'asyncOptions',
loadMethod: 'listModels',
default: 'claude-3-haiku'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Max Tokens',
name: 'maxTokensToSample',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Top P',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
}
]
}
//@ts-ignore
loadMethods = {
async listModels(): Promise<INodeOptionsValue[]> {
return await getModels(MODEL_TYPE.CHAT, 'chatAnthropic_LlamaIndex')
}
}
async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
const temperature = nodeData.inputs?.temperature as string
const modelName = nodeData.inputs?.modelName as 'claude-3-opus' | 'claude-3-sonnet' | 'claude-2.1' | 'claude-instant-1.2'
const maxTokensToSample = nodeData.inputs?.maxTokensToSample as string
const topP = nodeData.inputs?.topP as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const anthropicApiKey = getCredentialParam('anthropicApiKey', credentialData, nodeData)
const obj: Partial<Anthropic> = {
temperature: parseFloat(temperature),
model: modelName,
apiKey: anthropicApiKey
}
if (maxTokensToSample) obj.maxTokens = parseInt(maxTokensToSample, 10)
if (topP) obj.topP = parseFloat(topP)
const model = new Anthropic(obj)
return model
}
}
module.exports = { nodeClass: ChatAnthropic_LlamaIndex_ChatModels }