140 lines
4.8 KiB
TypeScript
140 lines
4.8 KiB
TypeScript
import { AnthropicInput, ChatAnthropic as LangchainChatAnthropic } from '@langchain/anthropic'
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import { BaseCache } from '@langchain/core/caches'
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import { BaseLLMParams } from '@langchain/core/language_models/llms'
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import { ICommonObject, IMultiModalOption, INode, INodeData, INodeOptionsValue, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { ChatAnthropic } from './FlowiseChatAnthropic'
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import { getModels, MODEL_TYPE } from '../../../src/modelLoader'
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class ChatAnthropic_ChatModels implements INode {
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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 = 'ChatAnthropic'
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this.name = 'chatAnthropic'
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this.version = 6.0
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this.type = 'ChatAnthropic'
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this.icon = 'Anthropic.svg'
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this.category = 'Chat Models'
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this.description = 'Wrapper around ChatAnthropic large language models that use the Chat endpoint'
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this.baseClasses = [this.type, ...getBaseClasses(LangchainChatAnthropic)]
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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: ['anthropicApi']
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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: 'claude-3-haiku'
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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: 0.9,
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optional: true
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},
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{
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label: 'Max Tokens',
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name: 'maxTokensToSample',
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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 P',
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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: 'Top K',
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name: 'topK',
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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: 'Allow Image Uploads',
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name: 'allowImageUploads',
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type: 'boolean',
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description:
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'Automatically uses claude-3-* models when image is being uploaded from chat. Only works with LLMChain, Conversation Chain, ReAct Agent, and Conversational Agent',
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default: false,
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optional: true
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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, 'chatAnthropic')
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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?.maxTokensToSample as string
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const topP = nodeData.inputs?.topP as string
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const topK = nodeData.inputs?.topK as string
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const streaming = nodeData.inputs?.streaming as boolean
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const cache = nodeData.inputs?.cache as BaseCache
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const anthropicApiKey = getCredentialParam('anthropicApiKey', credentialData, nodeData)
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const allowImageUploads = nodeData.inputs?.allowImageUploads as boolean
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const obj: Partial<AnthropicInput> & BaseLLMParams & { anthropicApiKey?: string } = {
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temperature: parseFloat(temperature),
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modelName,
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anthropicApiKey,
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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 (topK) obj.topK = parseFloat(topK)
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if (cache) obj.cache = cache
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const multiModalOption: IMultiModalOption = {
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image: {
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allowImageUploads: allowImageUploads ?? false
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}
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}
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const model = new ChatAnthropic(nodeData.id, obj)
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model.setMultiModalOption(multiModalOption)
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return model
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}
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}
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module.exports = { nodeClass: ChatAnthropic_ChatModels }
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