@n8n/n8n-nodes-langchain
Version:
143 lines • 6.05 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.EmbeddingsAzureOpenAi = void 0;
const openai_1 = require("@langchain/openai");
const ai_utilities_1 = require("@n8n/ai-utilities");
const n8n_workflow_1 = require("n8n-workflow");
class EmbeddingsAzureOpenAi {
constructor() {
this.description = {
displayName: 'Embeddings Azure OpenAI',
name: 'embeddingsAzureOpenAi',
icon: 'file:azure.svg',
credentials: [
{
name: 'azureOpenAiApi',
required: true,
},
],
group: ['transform'],
version: 1,
description: 'Use Embeddings Azure OpenAI',
defaults: {
name: 'Embeddings Azure OpenAI',
},
codex: {
categories: ['AI'],
subcategories: {
AI: ['Embeddings'],
},
resources: {
primaryDocumentation: [
{
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.embeddingsazureopenai/',
},
],
},
},
inputs: [],
outputs: [n8n_workflow_1.NodeConnectionTypes.AiEmbedding],
outputNames: ['Embeddings'],
properties: [
(0, ai_utilities_1.getConnectionHintNoticeField)([n8n_workflow_1.NodeConnectionTypes.AiVectorStore]),
{
displayName: 'Model (Deployment) Name',
name: 'model',
type: 'string',
description: 'The name of the model(deployment) to use',
default: '',
},
{
displayName: 'Options',
name: 'options',
placeholder: 'Add Option',
description: 'Additional options to add',
type: 'collection',
default: {},
options: [
{
displayName: 'Batch Size',
name: 'batchSize',
default: 512,
typeOptions: { maxValue: 2048 },
description: 'Maximum number of documents to send in each request',
type: 'number',
},
{
displayName: 'Strip New Lines',
name: 'stripNewLines',
default: true,
description: 'Whether to strip new lines from the input text',
type: 'boolean',
},
{
displayName: 'Timeout',
name: 'timeout',
default: -1,
description: 'Maximum amount of time a request is allowed to take in seconds. Set to -1 for no timeout.',
type: 'number',
},
{
displayName: 'Dimensions',
name: 'dimensions',
default: 1536,
description: 'The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.',
type: 'options',
options: [
{
name: '256',
value: 256,
},
{
name: '512',
value: 512,
},
{
name: '1024',
value: 1024,
},
{
name: '1536',
value: 1536,
},
{
name: '3072',
value: 3072,
},
],
},
],
},
],
};
}
async supplyData(itemIndex) {
this.logger.debug('Supply data for embeddings');
const credentials = await this.getCredentials('azureOpenAiApi');
const modelName = this.getNodeParameter('model', itemIndex);
const options = this.getNodeParameter('options', itemIndex, {});
if (options.timeout === -1) {
options.timeout = undefined;
}
const embeddings = new openai_1.AzureOpenAIEmbeddings({
azureOpenAIApiDeploymentName: modelName,
azureOpenAIApiInstanceName: !credentials.endpoint ? credentials.resourceName : undefined,
azureOpenAIApiKey: credentials.apiKey,
azureOpenAIApiVersion: credentials.apiVersion,
azureOpenAIBasePath: credentials.endpoint
? `${credentials.endpoint}/openai/deployments`
: undefined,
configuration: {
fetchOptions: {
dispatcher: (0, ai_utilities_1.getProxyAgent)(credentials.endpoint ?? `https://${credentials.resourceName}.openai.azure.com`, {}),
},
},
...options,
});
return {
response: (0, ai_utilities_1.logWrapper)(embeddings, this),
};
}
}
exports.EmbeddingsAzureOpenAi = EmbeddingsAzureOpenAi;
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