dtamind-components
Version:
Apps integration for Dtamind. Contain Nodes and Credentials.
92 lines • 3.76 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const ibm_1 = require("@langchain/community/embeddings/ibm");
const utils_1 = require("../../../src/utils");
class IBMWatsonx_Embeddings {
constructor() {
this.label = 'IBM Watsonx Embeddings';
this.name = 'ibmEmbedding';
this.version = 1.0;
this.type = 'WatsonxEmbeddings';
this.icon = 'ibm.png';
this.category = 'Embeddings';
this.description = 'Generate embeddings for a given text using open source model on IBM Watsonx';
this.baseClasses = [this.type, ...(0, utils_1.getBaseClasses)(ibm_1.WatsonxEmbeddings)];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['ibmWatsonx']
};
this.inputs = [
{
label: 'Model Name',
name: 'modelName',
type: 'string',
default: 'ibm/slate-30m-english-rtrvr'
},
{
label: 'Truncate Input Tokens',
name: 'truncateInputTokens',
type: 'number',
description: 'Truncate the input tokens.',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Max Retries',
name: 'maxRetries',
type: 'number',
description: 'The maximum number of retries.',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Max Concurrency',
name: 'maxConcurrency',
type: 'number',
description: 'The maximum number of concurrencies.',
step: 1,
optional: true,
additionalParams: true
}
];
}
async init(nodeData, _, options) {
const modelName = nodeData.inputs?.modelName;
const truncateInputTokens = nodeData.inputs?.truncateInputTokens;
const maxRetries = nodeData.inputs?.maxRetries;
const maxConcurrency = nodeData.inputs?.maxConcurrency;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const version = (0, utils_1.getCredentialParam)('version', credentialData, nodeData);
const serviceUrl = (0, utils_1.getCredentialParam)('serviceUrl', credentialData, nodeData);
const projectId = (0, utils_1.getCredentialParam)('projectId', credentialData, nodeData);
const watsonxAIAuthType = (0, utils_1.getCredentialParam)('watsonxAIAuthType', credentialData, nodeData);
const watsonxAIApikey = (0, utils_1.getCredentialParam)('watsonxAIApikey', credentialData, nodeData);
const watsonxAIBearerToken = (0, utils_1.getCredentialParam)('watsonxAIBearerToken', credentialData, nodeData);
const auth = {
version,
serviceUrl,
projectId,
watsonxAIAuthType,
watsonxAIApikey,
watsonxAIBearerToken
};
const obj = {
...auth,
model: modelName
};
if (truncateInputTokens)
obj.truncateInputTokens = parseInt(truncateInputTokens, 10);
if (maxRetries)
obj.maxRetries = parseInt(maxRetries, 10);
if (maxConcurrency)
obj.maxConcurrency = parseInt(maxConcurrency, 10);
const model = new ibm_1.WatsonxEmbeddings(obj);
return model;
}
}
module.exports = { nodeClass: IBMWatsonx_Embeddings };
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