feat(components): add Forge embeddings node

packages/components/models.json

@@ -2756,6 +2756,23 @@
                 }
             ]
         },
+        {
+            "name": "forgeEmbeddings",
+            "models": [
+                {
+                    "label": "forge-turbo (1024d)",
+                    "name": "forge-turbo"
+                },
+                {
+                    "label": "forge-pro (2560d)",
+                    "name": "forge-pro"
+                },
+                {
+                    "label": "forge-ultra-4k (4096d)",
+                    "name": "forge-ultra-4k"
+                }
+            ]
+        },
         {
             "name": "mistralAIEmbeddings",
             "models": [

packages/components/nodes/embeddings/ForgeEmbedding/ForgeEmbedding.test.ts

@@ -0,0 +1,73 @@
+jest.mock('@langchain/openai', () => ({
+    OpenAIEmbeddings: jest.fn().mockImplementation((fields) => ({ fields }))
+}))
+
+jest.mock('../../../src/utils', () => ({
+    getBaseClasses: jest.fn().mockReturnValue(['Embeddings']),
+    getCredentialData: jest.fn(),
+    getCredentialParam: jest.fn()
+}))
+
+import { getCredentialData, getCredentialParam } from '../../../src/utils'
+
+const { nodeClass: ForgeEmbedding } = require('./ForgeEmbedding')
+
+describe('ForgeEmbedding', () => {
+    beforeEach(() => {
+        jest.clearAllMocks()
+    })
+
+    it('exposes the expected node metadata', () => {
+        const node = new ForgeEmbedding()
+
+        expect(node.label).toBe('Forge Embedding')
+        expect(node.name).toBe('forgeEmbeddings')
+        expect(node.type).toBe('ForgeEmbeddings')
+        expect(node.icon).toBe('forge.svg')
+        expect(node.category).toBe('Embeddings')
+        expect(node.credential.credentialNames).toEqual(['openAIApi'])
+    })
+
+    it('initializes an embeddings instance pinned to the Forge base URL', async () => {
+        ;(getCredentialData as jest.Mock).mockResolvedValue({ openAIApiKey: 'forge-key' })
+        ;(getCredentialParam as jest.Mock).mockImplementation((key, credentialData) => credentialData[key])
+
+        const node = new ForgeEmbedding()
+        const model = await node.init(
+            {
+                credential: 'cred-1',
+                inputs: {
+                    modelName: 'forge-ultra-4k',
+                    dimensions: '4096',
+                    batchSize: '8',
+                    timeout: '15000',
+                    stripNewLines: true
+                }
+            },
+            '',
+            {}
+        )
+
+        expect(model.fields).toMatchObject({
+            openAIApiKey: 'forge-key',
+            modelName: 'forge-ultra-4k',
+            dimensions: 4096,
+            batchSize: 8,
+            timeout: 15000,
+            stripNewLines: true,
+            configuration: {
+                baseURL: 'https://api.voxell.ai/v1'
+            }
+        })
+    })
+
+    it('defaults the base URL even when only the api key is provided', async () => {
+        ;(getCredentialData as jest.Mock).mockResolvedValue({ openAIApiKey: 'forge-key' })
+        ;(getCredentialParam as jest.Mock).mockImplementation((key, credentialData) => credentialData[key])
+
+        const node = new ForgeEmbedding()
+        const model = await node.init({ credential: 'cred-1', inputs: {} }, '', {})
+
+        expect(model.fields.configuration.baseURL).toBe('https://api.voxell.ai/v1')
+    })
+})

packages/components/nodes/embeddings/ForgeEmbedding/ForgeEmbedding.ts

@@ -0,0 +1,118 @@
+import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+
+class ForgeEmbedding_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 = 'Forge Embedding'
+        this.name = 'forgeEmbeddings'
+        this.version = 1.0
+        this.type = 'ForgeEmbeddings'
+        this.icon = 'forge.svg'
+        this.category = 'Embeddings'
+        this.description = 'Voxell Forge OpenAI-compatible API to generate embeddings for a given text'
+        this.baseClasses = [this.type, ...getBaseClasses(OpenAIEmbeddings)]
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['openAIApi']
+        }
+        this.inputs = [
+            {
+                label: 'Strip New Lines',
+                name: 'stripNewLines',
+                type: 'boolean',
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Batch Size',
+                name: 'batchSize',
+                type: 'number',
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Timeout',
+                name: 'timeout',
+                type: 'number',
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'string',
+                default: 'forge-pro',
+                optional: true
+            },
+            {
+                label: 'Dimensions',
+                name: 'dimensions',
+                type: 'number',
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'Encoding Format',
+                name: 'encodingFormat',
+                type: 'options',
+                options: [
+                    {
+                        label: 'float',
+                        name: 'float'
+                    },
+                    {
+                        label: 'base64',
+                        name: 'base64'
+                    }
+                ],
+                optional: true,
+                additionalParams: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const stripNewLines = nodeData.inputs?.stripNewLines as boolean
+        const batchSize = nodeData.inputs?.batchSize as string
+        const timeout = nodeData.inputs?.timeout as string
+        const modelName = nodeData.inputs?.modelName as string
+        const dimensions = nodeData.inputs?.dimensions as string
+        const encodingFormat = nodeData.inputs?.encodingFormat as 'float' | 'base64' | undefined
+
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
+
+        const obj: Partial<OpenAIEmbeddingsParams> & { openAIApiKey?: string; configuration?: ClientOptions } = {
+            openAIApiKey,
+            configuration: {
+                baseURL: 'https://api.voxell.ai/v1'
+            }
+        }
+
+        if (stripNewLines) obj.stripNewLines = stripNewLines
+        if (batchSize) obj.batchSize = parseInt(batchSize, 10)
+        if (timeout) obj.timeout = parseInt(timeout, 10)
+        if (modelName) obj.modelName = modelName
+        if (dimensions) obj.dimensions = parseInt(dimensions, 10)
+        if (encodingFormat) obj.encodingFormat = encodingFormat
+
+        const model = new OpenAIEmbeddings(obj)
+        return model
+    }
+}
+
+module.exports = { nodeClass: ForgeEmbedding_Embeddings }