Merge pull request #713 from Yongtae723/feature/add_vertexAI

Feature/add vertex ai

packages/components/credentials/GoogleAuth.credential.ts

@@ -0,0 +1,55 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class GoogleVertexAuth implements INodeCredential {
+    label: string
+    name: string
+    version: number
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Google Vertex Auth'
+        this.name = 'googleVertexAuth'
+        this.version = 1.0
+        this.inputs = [
+            {
+                label: 'Google Application Credential File Path',
+                name: 'googleApplicationCredentialFilePath',
+                description:
+                    'Path to your google application credential json file. You can also use the credential JSON object (either one)',
+                placeholder: 'your-path/application_default_credentials.json',
+                type: 'string',
+                optional: true
+            },
+            {
+                label: 'Google Credential JSON Object',
+                name: 'googleApplicationCredential',
+                description: 'JSON object of your google application credential. You can also use the file path (either one)',
+                placeholder: `{
+    "type": ...,
+    "project_id": ...,
+    "private_key_id": ...,
+    "private_key": ...,
+    "client_email": ...,
+    "client_id": ...,
+    "auth_uri": ...,
+    "token_uri": ...,
+    "auth_provider_x509_cert_url": ...,
+    "client_x509_cert_url": ...
+}`,
+                type: 'string',
+                rows: 4,
+                optional: true
+            },
+            {
+                label: 'Project ID',
+                name: 'projectID',
+                description: 'Project ID of GCP. If not provided, it will be read from the credential file',
+                type: 'string',
+                optional: true,
+                additionalParams: true
+            }
+        ]
+    }
+}
+
+module.exports = { credClass: GoogleVertexAuth }

packages/components/nodes/chatmodels/GoogleVertexAI/ChatGoogleVertexAI.ts

@@ -0,0 +1,115 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { ChatGoogleVertexAI, GoogleVertexAIChatInput } from 'langchain/chat_models/googlevertexai'
+import { GoogleAuthOptions } from 'google-auth-library'
+
+class GoogleVertexAI_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 = 'ChatGoogleVertexAI'
+        this.name = 'chatGoogleVertexAI'
+        this.version = 1.0
+        this.type = 'ChatGoogleVertexAI'
+        this.icon = 'vertexai.svg'
+        this.category = 'Chat Models'
+        this.description = 'Wrapper around VertexAI large language models that use the Chat endpoint'
+        this.baseClasses = [this.type, ...getBaseClasses(ChatGoogleVertexAI)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['googleVertexAuth']
+        }
+        this.inputs = [
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'options',
+                options: [
+                    {
+                        label: 'chat-bison',
+                        name: 'chat-bison'
+                    },
+                    {
+                        label: 'codechat-bison',
+                        name: 'codechat-bison'
+                    }
+                ],
+                default: 'chat-bison',
+                optional: true
+            },
+            {
+                label: 'Temperature',
+                name: 'temperature',
+                type: 'number',
+                step: 0.1,
+                default: 0.9,
+                optional: true
+            },
+            {
+                label: 'Max Output Tokens',
+                name: 'maxOutputTokens',
+                type: 'number',
+                step: 1,
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Top Probability',
+                name: 'topP',
+                type: 'number',
+                step: 0.1,
+                optional: true,
+                additionalParams: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const googleApplicationCredentialFilePath = getCredentialParam('googleApplicationCredentialFilePath', credentialData, nodeData)
+        const googleApplicationCredential = getCredentialParam('googleApplicationCredential', credentialData, nodeData)
+        const projectID = getCredentialParam('projectID', credentialData, nodeData)
+
+        if (!googleApplicationCredentialFilePath && !googleApplicationCredential)
+            throw new Error('Please specify your Google Application Credential')
+        if (googleApplicationCredentialFilePath && googleApplicationCredential)
+            throw new Error('Please use either Google Application Credential File Path or Google Credential JSON Object')
+
+        const authOptions: GoogleAuthOptions = {}
+        if (googleApplicationCredentialFilePath && !googleApplicationCredential) authOptions.keyFile = googleApplicationCredentialFilePath
+        else if (!googleApplicationCredentialFilePath && googleApplicationCredential)
+            authOptions.credentials = JSON.parse(googleApplicationCredential)
+
+        if (projectID) authOptions.projectId = projectID
+
+        const temperature = nodeData.inputs?.temperature as string
+        const modelName = nodeData.inputs?.modelName as string
+        const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
+        const topP = nodeData.inputs?.topP as string
+
+        const obj: Partial<GoogleVertexAIChatInput> = {
+            temperature: parseFloat(temperature),
+            model: modelName,
+            authOptions
+        }
+
+        if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10)
+        if (topP) obj.topP = parseFloat(topP)
+
+        const model = new ChatGoogleVertexAI(obj)
+        return model
+    }
+}
+
+module.exports = { nodeClass: GoogleVertexAI_ChatModels }

packages/components/nodes/embeddings/GoogleVertexAIEmbedding/GoogleVertexAIEmbedding.ts

@@ -0,0 +1,63 @@
+import { GoogleVertexAIEmbeddings, GoogleVertexAIEmbeddingsParams } from 'langchain/embeddings/googlevertexai'
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { GoogleAuthOptions } from 'google-auth-library'
+
+class GoogleVertexAIEmbedding_Embeddings 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 = 'GoogleVertexAI Embeddings'
+        this.name = 'googlevertexaiEmbeddings'
+        this.version = 1.0
+        this.type = 'GoogleVertexAIEmbeddings'
+        this.icon = 'vertexai.svg'
+        this.category = 'Embeddings'
+        this.description = 'Google vertexAI API to generate embeddings for a given text'
+        this.baseClasses = [this.type, ...getBaseClasses(GoogleVertexAIEmbeddings)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['googleVertexAuth']
+        }
+        this.inputs = []
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const googleApplicationCredentialFilePath = getCredentialParam('googleApplicationCredentialFilePath', credentialData, nodeData)
+        const googleApplicationCredential = getCredentialParam('googleApplicationCredential', credentialData, nodeData)
+        const projectID = getCredentialParam('projectID', credentialData, nodeData)
+
+        if (!googleApplicationCredentialFilePath && !googleApplicationCredential)
+            throw new Error('Please specify your Google Application Credential')
+        if (googleApplicationCredentialFilePath && googleApplicationCredential)
+            throw new Error('Please use either Google Application Credential File Path or Google Credential JSON Object')
+
+        const authOptions: GoogleAuthOptions = {}
+        if (googleApplicationCredentialFilePath && !googleApplicationCredential) authOptions.keyFile = googleApplicationCredentialFilePath
+        else if (!googleApplicationCredentialFilePath && googleApplicationCredential)
+            authOptions.credentials = JSON.parse(googleApplicationCredential)
+
+        if (projectID) authOptions.projectId = projectID
+
+        const obj: GoogleVertexAIEmbeddingsParams = {
+            authOptions
+        }
+
+        const model = new GoogleVertexAIEmbeddings(obj)
+        return model
+    }
+}
+
+module.exports = { nodeClass: GoogleVertexAIEmbedding_Embeddings }

packages/components/nodes/llms/GoogleVertexAI/GoogleVertexAI.ts

@@ -0,0 +1,117 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { GoogleVertexAI, GoogleVertexAITextInput } from 'langchain/llms/googlevertexai'
+import { GoogleAuthOptions } from 'google-auth-library'
+
+class GoogleVertexAI_LLMs 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 = 'GoogleVertexAI'
+        this.name = 'googlevertexai'
+        this.version = 1.0
+        this.type = 'GoogleVertexAI'
+        this.icon = 'vertexai.svg'
+        this.category = 'LLMs'
+        this.description = 'Wrapper around GoogleVertexAI large language models'
+        this.baseClasses = [this.type, ...getBaseClasses(GoogleVertexAI)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['googleVertexAuth']
+        }
+        this.inputs = [
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'options',
+                options: [
+                    {
+                        label: 'text-bison',
+                        name: 'text-bison'
+                    },
+                    {
+                        label: 'code-bison',
+                        name: 'code-bison'
+                    },
+                    {
+                        label: 'code-gecko',
+                        name: 'code-gecko'
+                    }
+                ],
+                default: 'text-bison'
+            },
+            {
+                label: 'Temperature',
+                name: 'temperature',
+                type: 'number',
+                step: 0.1,
+                default: 0.7,
+                optional: true
+            },
+            {
+                label: 'max Output Tokens',
+                name: 'maxOutputTokens',
+                type: 'number',
+                step: 1,
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Top Probability',
+                name: 'topP',
+                type: 'number',
+                step: 0.1,
+                optional: true,
+                additionalParams: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const googleApplicationCredentialFilePath = getCredentialParam('googleApplicationCredentialFilePath', credentialData, nodeData)
+        const googleApplicationCredential = getCredentialParam('googleApplicationCredential', credentialData, nodeData)
+        const projectID = getCredentialParam('projectID', credentialData, nodeData)
+
+        if (!googleApplicationCredentialFilePath && !googleApplicationCredential)
+            throw new Error('Please specify your Google Application Credential')
+        if (googleApplicationCredentialFilePath && googleApplicationCredential)
+            throw new Error('Please use either Google Application Credential File Path or Google Credential JSON Object')
+
+        const authOptions: GoogleAuthOptions = {}
+        if (googleApplicationCredentialFilePath && !googleApplicationCredential) authOptions.keyFile = googleApplicationCredentialFilePath
+        else if (!googleApplicationCredentialFilePath && googleApplicationCredential)
+            authOptions.credentials = JSON.parse(googleApplicationCredential)
+        if (projectID) authOptions.projectId = projectID
+
+        const temperature = nodeData.inputs?.temperature as string
+        const modelName = nodeData.inputs?.modelName as string
+        const maxOutputTokens = nodeData.inputs?.maxOutputTokens as string
+        const topP = nodeData.inputs?.topP as string
+
+        const obj: Partial<GoogleVertexAITextInput> = {
+            temperature: parseFloat(temperature),
+            model: modelName,
+            authOptions
+        }
+
+        if (maxOutputTokens) obj.maxOutputTokens = parseInt(maxOutputTokens, 10)
+        if (topP) obj.topP = parseFloat(topP)
+
+        const model = new GoogleVertexAI(obj)
+        return model
+    }
+}
+
+module.exports = { nodeClass: GoogleVertexAI_LLMs }