dtamind-components
Version:
Apps integration for Dtamind. Contain Nodes and Credentials.
84 lines • 3.12 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const mistralai_1 = require("@langchain/mistralai");
const utils_1 = require("../../../src/utils");
const modelLoader_1 = require("../../../src/modelLoader");
class MistralEmbedding_Embeddings {
constructor() {
//@ts-ignore
this.loadMethods = {
async listModels() {
return await (0, modelLoader_1.getModels)(modelLoader_1.MODEL_TYPE.EMBEDDING, 'mistralAIEmbeddings');
}
};
this.label = 'MistralAI Embeddings';
this.name = 'mistralAIEmbeddings';
this.version = 2.0;
this.type = 'MistralAIEmbeddings';
this.icon = 'MistralAI.svg';
this.category = 'Embeddings';
this.description = 'MistralAI API to generate embeddings for a given text';
this.baseClasses = [this.type, ...(0, utils_1.getBaseClasses)(mistralai_1.MistralAIEmbeddings)];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['mistralAIApi']
};
this.inputs = [
{
label: 'Model Name',
name: 'modelName',
type: 'asyncOptions',
loadMethod: 'listModels',
default: 'mistral-embed'
},
{
label: 'Batch Size',
name: 'batchSize',
type: 'number',
step: 1,
default: 512,
optional: true,
additionalParams: true
},
{
label: 'Strip New Lines',
name: 'stripNewLines',
type: 'boolean',
default: true,
optional: true,
additionalParams: true
},
{
label: 'Override Endpoint',
name: 'overrideEndpoint',
type: 'string',
optional: true,
additionalParams: true
}
];
}
async init(nodeData, _, options) {
const modelName = nodeData.inputs?.modelName;
const batchSize = nodeData.inputs?.batchSize;
const stripNewLines = nodeData.inputs?.stripNewLines;
const overrideEndpoint = nodeData.inputs?.overrideEndpoint;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const apiKey = (0, utils_1.getCredentialParam)('mistralAIAPIKey', credentialData, nodeData);
const obj = {
apiKey: apiKey,
modelName: modelName
};
if (batchSize)
obj.batchSize = parseInt(batchSize, 10);
if (stripNewLines)
obj.stripNewLines = stripNewLines;
if (overrideEndpoint)
obj.endpoint = overrideEndpoint;
const model = new mistralai_1.MistralAIEmbeddings(obj);
return model;
}
}
module.exports = { nodeClass: MistralEmbedding_Embeddings };
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