feat: support LM Studio embeddings

packages/components/credentials/LMStudioApi.credential.ts

@@ -0,0 +1,24 @@
+import { INodeParams, INodeCredential } from '../src/Interface'
+
+class LMStudioApi implements INodeCredential {
+    label: string
+    name: string
+    version: number
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'LM Studio API'
+        this.name = 'lmstudioApi'
+        this.version = 1.0
+        this.inputs = [
+            {
+                label: 'LM Studio Api Key',
+                name: 'lmstudioApiKey',
+                type: 'password',
+                description: 'Optional. Most local LM Studio instances do not require an API key.'
+            }
+        ]
+    }
+}
+
+module.exports = { credClass: LMStudioApi }

packages/components/nodes/embeddings/LMStudioEmbedding/LMStudioEmbedding.ts

@@ -0,0 +1,73 @@
+import { ClientOptions, OpenAIEmbeddings, OpenAIEmbeddingsParams } from '@langchain/openai'
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getCredentialData, getCredentialParam } from '../../../src/utils'
+
+class LMStudioEmbedding_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 = 'LM Studio Embedding'
+        this.name = 'lmStudioEmbeddings'
+        this.version = 1.0
+        this.type = 'LM Studio Embeddings'
+        this.icon = 'lmstudio.png'
+        this.category = 'Embeddings'
+        this.description = 'Use LM Studio local embeddings models'
+        this.baseClasses = [this.type, 'Embeddings']
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['lmstudioApi'],
+            optional: true
+        }
+        this.inputs = [
+            {
+                label: 'Base Path',
+                name: 'basePath',
+                type: 'string',
+                default: 'http://localhost:1234/v1'
+            },
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'string',
+                placeholder: 'nomic-embed-text-v1.5'
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const modelName = nodeData.inputs?.modelName as string
+        if (!modelName) throw new Error('Model Name is required for LM Studio Embeddings')
+        const basePath = nodeData.inputs?.basePath as string
+        if (!basePath) throw new Error('Base Path is required for LM Studio Embeddings')
+
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const lmstudioApiKey = getCredentialParam('lmstudioApiKey', credentialData, nodeData)
+
+        const obj: OpenAIEmbeddingsParams = {
+            modelName,
+            openAIApiKey: 'not-needed' // LM Studio typically doesn't require an API key
+        }
+
+        if (lmstudioApiKey) obj.openAIApiKey = lmstudioApiKey
+
+        if (basePath) obj.configuration = { baseURL: basePath }
+
+        const model = new OpenAIEmbeddings(obj)
+
+        return model
+    }
+}
+
+module.exports = { nodeClass: LMStudioEmbedding_Embeddings }