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Feat/deepseek chat node (#3732)
* Feat: Add deepseek models to components configuration * Feat: Implement Deepseek API integration with chat models and add SVG icon * Refactor: Remove image input options and add missing baseOptions in deepseek chat node
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import { BaseCache } from '@langchain/core/caches'
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import { BaseChatModelParams } from '@langchain/core/language_models/chat_models'
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import { ChatOpenAI, LegacyOpenAIInput, OpenAIChatInput } from '@langchain/openai'
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import type { ClientOptions } from 'openai'
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import { ICommonObject, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
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import { getModels, MODEL_TYPE } from '../../../src/modelLoader'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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class Deepseek_ChatModels implements INode {
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readonly baseURL: string = 'https://api.deepseek.com'
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label: string
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name: string
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version: number
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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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credential: INodeParams
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inputs: INodeParams[]
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constructor() {
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this.label = 'ChatDeepseek'
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this.name = 'chatDeepseek'
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this.version = 1.0
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this.type = 'chatDeepseek'
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this.icon = 'deepseek.svg'
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this.category = 'Chat Models'
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this.description = 'Wrapper around Deepseek large language models that use the Chat endpoint'
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this.baseClasses = [this.type, ...getBaseClasses(ChatOpenAI)]
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this.credential = {
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label: 'Connect Credential',
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name: 'credential',
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type: 'credential',
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credentialNames: ['deepseekApi']
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}
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this.inputs = [
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{
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label: 'Cache',
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name: 'cache',
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type: 'BaseCache',
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optional: true
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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: 'asyncOptions',
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loadMethod: 'listModels',
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default: 'deepseek-chat'
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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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step: 0.1,
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default: 0.7,
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optional: true
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},
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{
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label: 'Streaming',
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name: 'streaming',
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type: 'boolean',
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default: true,
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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: 'Max Tokens',
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name: 'maxTokens',
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type: 'number',
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step: 1,
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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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step: 0.1,
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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: 'Frequency Penalty',
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name: 'frequencyPenalty',
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type: 'number',
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step: 0.1,
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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: 'Presence Penalty',
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name: 'presencePenalty',
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type: 'number',
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step: 0.1,
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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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step: 1,
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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: 'Stop Sequence',
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name: 'stopSequence',
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type: 'string',
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rows: 4,
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optional: true,
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description: 'List of stop words to use when generating. Use comma to separate multiple stop words.',
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additionalParams: true
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},
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{
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label: 'Base Options',
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name: 'baseOptions',
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type: 'json',
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optional: true,
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additionalParams: true,
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description: 'Additional options to pass to the Deepseek client. This should be a JSON object.'
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}
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]
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}
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//@ts-ignore
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loadMethods = {
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async listModels(): Promise<INodeOptionsValue[]> {
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return await getModels(MODEL_TYPE.CHAT, 'deepseek')
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}
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}
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async init(nodeData: INodeData, _: string, options: ICommonObject): 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 frequencyPenalty = nodeData.inputs?.frequencyPenalty as string
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const presencePenalty = nodeData.inputs?.presencePenalty as string
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const timeout = nodeData.inputs?.timeout as string
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const stopSequence = nodeData.inputs?.stopSequence as string
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const streaming = nodeData.inputs?.streaming as boolean
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const baseOptions = nodeData.inputs?.baseOptions
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if (nodeData.inputs?.credentialId) {
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nodeData.credential = nodeData.inputs?.credentialId
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}
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const openAIApiKey = getCredentialParam('deepseekApiKey', credentialData, nodeData)
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const cache = nodeData.inputs?.cache as BaseCache
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const obj: Partial<OpenAIChatInput> & BaseChatModelParams & { configuration?: ClientOptions & LegacyOpenAIInput } = {
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temperature: parseFloat(temperature),
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modelName,
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openAIApiKey,
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streaming: streaming ?? true
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}
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if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10)
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if (topP) obj.topP = parseFloat(topP)
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if (frequencyPenalty) obj.frequencyPenalty = parseFloat(frequencyPenalty)
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if (presencePenalty) obj.presencePenalty = parseFloat(presencePenalty)
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if (timeout) obj.timeout = parseInt(timeout, 10)
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if (cache) obj.cache = cache
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if (stopSequence) {
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const stopSequenceArray = stopSequence.split(',').map((item) => item.trim())
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obj.stop = stopSequenceArray
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}
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let parsedBaseOptions: any | undefined = undefined
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if (baseOptions) {
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try {
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parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions)
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if (parsedBaseOptions.baseURL) {
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console.warn("The 'baseURL' parameter is not allowed when using the ChatDeepseek node.")
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parsedBaseOptions.baseURL = undefined
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}
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} catch (exception) {
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throw new Error('Invalid JSON in the BaseOptions: ' + exception)
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}
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}
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const model = new ChatOpenAI({
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...obj,
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configuration: {
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baseURL: this.baseURL,
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...parsedBaseOptions
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}
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})
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return model
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}
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}
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module.exports = { nodeClass: Deepseek_ChatModels }
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