Merge branch 'main' into chore/Upgrade-LC-version

# Conflicts: # packages/components/package.json
2026-06-28 21:00:58 +03:00 · 2024-02-07 02:01:32 +08:00
parent 02fe500f21 188e2c748c
commit 73112ad122
54 changed files with 5331 additions and 139 deletions
@@ -0,0 +1,77 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { OpenAIEmbedding } from 'llamaindex'
+
+interface AzureOpenAIConfig {
+    apiKey?: string
+    endpoint?: string
+    apiVersion?: string
+    deploymentName?: string
+}
+
+class AzureOpenAIEmbedding_LlamaIndex_Embeddings implements INode {
+    label: string
+    name: string
+    version: number
+    type: string
+    icon: string
+    category: string
+    description: string
+    baseClasses: string[]
+    credential: INodeParams
+    tags: string[]
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'Azure OpenAI Embeddings'
+        this.name = 'azureOpenAIEmbeddingsLlamaIndex'
+        this.version = 1.0
+        this.type = 'AzureOpenAIEmbeddings'
+        this.icon = 'Azure.svg'
+        this.category = 'Embeddings'
+        this.description = 'Azure OpenAI API embeddings specific for LlamaIndex'
+        this.baseClasses = [this.type, 'BaseEmbedding_LlamaIndex', ...getBaseClasses(OpenAIEmbedding)]
+        this.tags = ['LlamaIndex']
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['azureOpenAIApi']
+        }
+        this.inputs = [
+            {
+                label: 'Timeout',
+                name: 'timeout',
+                type: 'number',
+                optional: true,
+                additionalParams: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const timeout = nodeData.inputs?.timeout as string
+
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const azureOpenAIApiKey = getCredentialParam('azureOpenAIApiKey', credentialData, nodeData)
+        const azureOpenAIApiInstanceName = getCredentialParam('azureOpenAIApiInstanceName', credentialData, nodeData)
+        const azureOpenAIApiDeploymentName = getCredentialParam('azureOpenAIApiDeploymentName', credentialData, nodeData)
+        const azureOpenAIApiVersion = getCredentialParam('azureOpenAIApiVersion', credentialData, nodeData)
+
+        const obj: Partial<OpenAIEmbedding> & { azure?: AzureOpenAIConfig } = {
+            azure: {
+                apiKey: azureOpenAIApiKey,
+                endpoint: `https://${azureOpenAIApiInstanceName}.openai.azure.com`,
+                apiVersion: azureOpenAIApiVersion,
+                deploymentName: azureOpenAIApiDeploymentName
+            }
+        }
+
+        if (timeout) obj.timeout = parseInt(timeout, 10)
+
+        const model = new OpenAIEmbedding(obj)
+        return model
+    }
+}
+
+module.exports = { nodeClass: AzureOpenAIEmbedding_LlamaIndex_Embeddings }
@@ -0,0 +1,91 @@
+import { ICommonObject, INode, INodeData, INodeParams } from '../../../src/Interface'
+import { getBaseClasses, getCredentialData, getCredentialParam } from '../../../src/utils'
+import { OpenAIEmbedding } from 'llamaindex'
+
+class OpenAIEmbedding_LlamaIndex_Embeddings implements INode {
+    label: string
+    name: string
+    version: number
+    type: string
+    icon: string
+    category: string
+    description: string
+    baseClasses: string[]
+    tags: string[]
+    credential: INodeParams
+    inputs: INodeParams[]
+
+    constructor() {
+        this.label = 'OpenAI Embedding'
+        this.name = 'openAIEmbedding_LlamaIndex'
+        this.version = 1.0
+        this.type = 'OpenAIEmbedding'
+        this.icon = 'openai.svg'
+        this.category = 'Embeddings'
+        this.description = 'OpenAI Embedding specific for LlamaIndex'
+        this.baseClasses = [this.type, 'BaseEmbedding_LlamaIndex', ...getBaseClasses(OpenAIEmbedding)]
+        this.tags = ['LlamaIndex']
+        this.credential = {
+            label: 'Connect Credential',
+            name: 'credential',
+            type: 'credential',
+            credentialNames: ['openAIApi']
+        }
+        this.inputs = [
+            {
+                label: 'Model Name',
+                name: 'modelName',
+                type: 'options',
+                options: [
+                    {
+                        label: 'text-embedding-3-large',
+                        name: 'text-embedding-3-large'
+                    },
+                    {
+                        label: 'text-embedding-3-small',
+                        name: 'text-embedding-3-small'
+                    },
+                    {
+                        label: 'text-embedding-ada-002',
+                        name: 'text-embedding-ada-002'
+                    }
+                ],
+                default: 'text-embedding-ada-002',
+                optional: true
+            },
+            {
+                label: 'Timeout',
+                name: 'timeout',
+                type: 'number',
+                optional: true,
+                additionalParams: true
+            },
+            {
+                label: 'BasePath',
+                name: 'basepath',
+                type: 'string',
+                optional: true,
+                additionalParams: true
+            }
+        ]
+    }
+
+    async init(nodeData: INodeData, _: string, options: ICommonObject): Promise<any> {
+        const timeout = nodeData.inputs?.timeout as string
+        const modelName = nodeData.inputs?.modelName as string
+
+        const credentialData = await getCredentialData(nodeData.credential ?? '', options)
+        const openAIApiKey = getCredentialParam('openAIApiKey', credentialData, nodeData)
+
+        const obj: Partial<OpenAIEmbedding> = {
+            apiKey: openAIApiKey,
+            model: modelName
+        }
+        if (timeout) obj.timeout = parseInt(timeout, 10)
+
+        const model = new OpenAIEmbedding(obj)
+        return model
+    }
+}
+
+module.exports = { nodeClass: OpenAIEmbedding_LlamaIndex_Embeddings }