Merge pull request #1495 from kkacsh321/localai_auth
FEATURE: LocalAI Credential, Optional LocalAI Auth, Model list env var
This commit is contained in:
commit
5239b2707f
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@ -0,0 +1,23 @@
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import { INodeParams, INodeCredential } from '../src/Interface'
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class LocalAIApi implements INodeCredential {
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label: string
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name: string
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version: number
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inputs: INodeParams[]
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constructor() {
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this.label = 'LocalAI API'
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this.name = 'localAIApi'
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this.version = 1.0
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this.inputs = [
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{
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label: 'LocalAI Api Key',
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name: 'localAIApiKey',
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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: LocalAIApi }
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@ -1,5 +1,5 @@
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getBaseClasses } from '../../../src/utils'
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import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
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import { OpenAIChat } from 'langchain/llms/openai'
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import { OpenAIChat } from 'langchain/llms/openai'
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import { OpenAIChatInput } from 'langchain/chat_models/openai'
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import { OpenAIChatInput } from 'langchain/chat_models/openai'
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import { BaseCache } from 'langchain/schema'
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import { BaseCache } from 'langchain/schema'
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@ -14,6 +14,7 @@ class ChatLocalAI_ChatModels implements INode {
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category: string
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category: string
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description: string
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description: string
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baseClasses: string[]
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baseClasses: string[]
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credential: INodeParams
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inputs: INodeParams[]
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inputs: INodeParams[]
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constructor() {
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constructor() {
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@ -25,6 +26,13 @@ class ChatLocalAI_ChatModels implements INode {
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this.category = 'Chat Models'
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this.category = 'Chat Models'
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this.description = 'Use local LLMs like llama.cpp, gpt4all using LocalAI'
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this.description = 'Use local LLMs like llama.cpp, gpt4all using LocalAI'
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this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(OpenAIChat)]
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this.baseClasses = [this.type, 'BaseChatModel', ...getBaseClasses(OpenAIChat)]
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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: ['localAIApi'],
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optional: true
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}
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this.inputs = [
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this.inputs = [
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{
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{
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label: 'Cache',
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label: 'Cache',
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@ -79,13 +87,16 @@ class ChatLocalAI_ChatModels implements INode {
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]
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]
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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 temperature = nodeData.inputs?.temperature as string
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const modelName = nodeData.inputs?.modelName 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 maxTokens = nodeData.inputs?.maxTokens as string
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const topP = nodeData.inputs?.topP as string
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const topP = nodeData.inputs?.topP as string
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const timeout = nodeData.inputs?.timeout as string
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const timeout = nodeData.inputs?.timeout as string
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const basePath = nodeData.inputs?.basePath as string
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const basePath = nodeData.inputs?.basePath as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const localAIApiKey = getCredentialParam('localAIApiKey', credentialData, nodeData)
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const cache = nodeData.inputs?.cache as BaseCache
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const cache = nodeData.inputs?.cache as BaseCache
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const obj: Partial<OpenAIChatInput> & BaseLLMParams & { openAIApiKey?: string } = {
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const obj: Partial<OpenAIChatInput> & BaseLLMParams & { openAIApiKey?: string } = {
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@ -98,6 +109,7 @@ class ChatLocalAI_ChatModels implements INode {
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if (topP) obj.topP = parseFloat(topP)
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if (topP) obj.topP = parseFloat(topP)
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if (timeout) obj.timeout = parseInt(timeout, 10)
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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 (cache) obj.cache = cache
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if (localAIApiKey) obj.openAIApiKey = localAIApiKey
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const model = new OpenAIChat(obj, { basePath })
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const model = new OpenAIChat(obj, { basePath })
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@ -1,4 +1,5 @@
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import { INode, INodeData, INodeParams } from '../../../src/Interface'
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import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
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import { getCredentialData, getCredentialParam } from '../../../src/utils'
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import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai'
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import { OpenAIEmbeddings, OpenAIEmbeddingsParams } from 'langchain/embeddings/openai'
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class LocalAIEmbedding_Embeddings implements INode {
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class LocalAIEmbedding_Embeddings implements INode {
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@ -10,6 +11,7 @@ class LocalAIEmbedding_Embeddings implements INode {
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category: string
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category: string
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description: string
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description: string
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baseClasses: string[]
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baseClasses: string[]
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credential: INodeParams
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inputs: INodeParams[]
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inputs: INodeParams[]
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constructor() {
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constructor() {
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@ -21,6 +23,13 @@ class LocalAIEmbedding_Embeddings implements INode {
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this.category = 'Embeddings'
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this.category = 'Embeddings'
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this.description = 'Use local embeddings models like llama.cpp'
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this.description = 'Use local embeddings models like llama.cpp'
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this.baseClasses = [this.type, 'Embeddings']
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this.baseClasses = [this.type, 'Embeddings']
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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: ['localAIApi'],
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optional: true
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}
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this.inputs = [
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this.inputs = [
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{
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{
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label: 'Base Path',
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label: 'Base Path',
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@ -37,15 +46,20 @@ class LocalAIEmbedding_Embeddings implements INode {
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]
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]
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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 modelName = nodeData.inputs?.modelName as string
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const modelName = nodeData.inputs?.modelName as string
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const basePath = nodeData.inputs?.basePath as string
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const basePath = nodeData.inputs?.basePath as string
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const credentialData = await getCredentialData(nodeData.credential ?? '', options)
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const localAIApiKey = getCredentialParam('localAIApiKey', credentialData, nodeData)
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const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string } = {
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const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string } = {
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modelName,
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modelName,
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openAIApiKey: 'sk-'
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openAIApiKey: 'sk-'
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}
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}
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if (localAIApiKey) obj.openAIApiKey = localAIApiKey
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const model = new OpenAIEmbeddings(obj, { basePath })
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const model = new OpenAIEmbeddings(obj, { basePath })
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return model
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return model
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