mirror of
https://github.com/farcasclaudiu/Flowise.git
synced 2026-06-28 19:00:59 +03:00
add credentials
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@@ -0,0 +1,21 @@
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import { INodeParams, INodeCredential } from '../../../src/Interface'
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class AnthropicApi implements INodeCredential {
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label: string
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name: string
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inputs: INodeParams[]
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constructor() {
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this.label = 'Anthropic API'
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this.name = 'anthropicApi'
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this.inputs = [
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{
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label: 'Anthropic Api Key',
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name: 'anthropicApiKey',
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type: 'password'
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}
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]
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}
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}
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module.exports = { credClass: AnthropicApi }
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@@ -1,5 +1,5 @@
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses } from '../../../src/utils'
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { AnthropicInput, ChatAnthropic } from 'langchain/chat_models/anthropic'
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class ChatAnthropic_ChatModels implements INode {
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@@ -10,6 +10,7 @@ class ChatAnthropic_ChatModels implements INode {
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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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@@ -20,12 +21,13 @@ class ChatAnthropic_ChatModels implements INode {
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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(ChatAnthropic)]
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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: 'ChatAnthropic Api Key',
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name: 'anthropicApiKey',
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type: 'password'
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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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@@ -110,15 +112,17 @@ class ChatAnthropic_ChatModels implements INode {
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]
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}
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async init(nodeData: INodeData): Promise<any> {
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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 anthropicApiKey = nodeData.inputs?.anthropicApiKey as string
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const maxTokensToSample = 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 credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const anthropicApiKey = getCredentialParam('anthropicApiKey', credentialData, nodeData)
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const obj: Partial<AnthropicInput> & { anthropicApiKey?: string } = {
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temperature: parseFloat(temperature),
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modelName,
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