Flowise/packages/components/nodes/chatmodels/ChatOpenRouter/ChatOpenRouter.ts

220 lines
7.5 KiB
TypeScript

import { ChatOpenAI as LangchainChatOpenAI, ChatOpenAIFields } from '@langchain/openai'
import { BaseCache } from '@langchain/core/caches'
import { ICommonObject, IMultiModalOption, INode, INodeData, INodeParams } from '../../../src/Interface'
import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
import { ChatOpenRouter } from './FlowiseChatOpenRouter'
class ChatOpenRouter_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 = 'ChatOpenRouter'
this.name = 'chatOpenRouter'
this.version = 1.0
this.type = 'ChatOpenRouter'
this.icon = 'openRouter.svg'
this.category = 'Chat Models'
this.description = 'Wrapper around Open Router Inference API'
this.baseClasses = [this.type, ...getBaseClasses(LangchainChatOpenAI)]
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['openRouterApi'],
optional: true
}
this.inputs = [
{
label: 'Cache',
name: 'cache',
type: 'BaseCache',
optional: true
},
{
label: 'Model Name',
name: 'modelName',
type: 'string',
placeholder: 'openai/gpt-3.5-turbo'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Streaming',
name: 'streaming',
type: 'boolean',
default: true,
optional: true,
additionalParams: true
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Presence Penalty',
name: 'presencePenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'BasePath',
name: 'basepath',
type: 'string',
optional: true,
default: 'https://openrouter.ai/api/v1',
additionalParams: true
},
{
label: 'BaseOptions',
name: 'baseOptions',
type: 'json',
optional: true,
additionalParams: true
},
{
label: 'Allow Image Uploads',
name: 'allowImageUploads',
type: 'boolean',
description:
'Allow image input. Refer to the <a href="https://docs.flowiseai.com/using-flowise/uploads#image" target="_blank">docs</a> for more details.',
default: false,
optional: true
},
{
label: 'Image Resolution',
description: 'This parameter controls the resolution in which the model views the image.',
name: 'imageResolution',
type: 'options',
options: [
{
label: 'Low',
name: 'low'
},
{
label: 'High',
name: 'high'
},
{
label: 'Auto',
name: 'auto'
}
],
default: 'low',
optional: false,
show: {
allowImageUploads: true
}
}
]
}
async init(nodeData: INodeData, _: string, options: ICommonObject): 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 frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
const presencePenalty = nodeData.inputs?.presencePenalty as string
const timeout = nodeData.inputs?.timeout as string
const streaming = nodeData.inputs?.streaming as boolean
const basePath = (nodeData.inputs?.basepath as string) || 'https://openrouter.ai/api/v1'
const baseOptions = nodeData.inputs?.baseOptions
const cache = nodeData.inputs?.cache as BaseCache
const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean
const imageResolution = nodeData.inputs?.imageResolution as string
const credentialData = await getCredentialData(nodeData.credential ?? '', options)
const openRouterApiKey = getCredentialParam('openRouterApiKey', credentialData, nodeData)
const obj: ChatOpenAIFields = {
temperature: parseFloat(temperature),
modelName,
openAIApiKey: openRouterApiKey,
apiKey: openRouterApiKey,
streaming: streaming ?? true
}
if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
if (topP) obj.topP = parseFloat(topP)
if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
if (timeout) obj.timeout = parseInt(timeout, 10)
if (cache) obj.cache = cache
let parsedBaseOptions: any | undefined = undefined
if (baseOptions) {
try {
parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions)
} catch (exception) {
throw new Error("Invalid JSON in the ChatOpenRouter's BaseOptions: " + exception)
}
}
if (basePath || parsedBaseOptions) {
obj.configuration = {
baseURL: basePath,
defaultHeaders: parsedBaseOptions
}
}
const multiModalOption: IMultiModalOption = {
image: {
allowImageUploads: allowImageUploads ?? false,
imageResolution
}
}
const model = new ChatOpenRouter(nodeData.id, obj)
model.setMultiModalOption(multiModalOption)
return model
}
}
module.exports = { nodeClass: ChatOpenRouter_ChatModels }