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dtamind-components

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Apps integration for Dtamind. Contain Nodes and Credentials.

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"use strict"; Object.defineProperty(exports, "__esModule", { value: true }); const groq_1 = require("@langchain/groq"); const modelLoader_1 = require("../../../src/modelLoader"); const utils_1 = require("../../../src/utils"); class Groq_ChatModels { constructor() { //@ts-ignore this.loadMethods = { async listModels() { return await (0, modelLoader_1.getModels)(modelLoader_1.MODEL_TYPE.CHAT, 'groqChat'); } }; this.label = 'GroqChat'; this.name = 'groqChat'; this.version = 4.0; this.type = 'GroqChat'; this.icon = 'groq.png'; this.category = 'Chat Models'; this.description = 'Wrapper around Groq API with LPU Inference Engine'; this.baseClasses = [this.type, ...(0, utils_1.getBaseClasses)(groq_1.ChatGroq)]; this.credential = { label: 'Connect Credential', name: 'credential', type: 'credential', credentialNames: ['groqApi'], optional: true }; this.inputs = [ { label: 'Cache', name: 'cache', type: 'BaseCache', optional: true }, { label: 'Model Name', name: 'modelName', type: 'asyncOptions', loadMethod: 'listModels', placeholder: 'llama3-70b-8192' }, { label: 'Temperature', name: 'temperature', type: 'number', step: 0.1, default: 0.9, optional: true }, { label: 'Max Tokens', name: 'maxTokens', type: 'number', step: 1, optional: true, additionalParams: true }, { label: 'Streaming', name: 'streaming', type: 'boolean', default: true, optional: true } ]; } async init(nodeData, _, options) { const modelName = nodeData.inputs?.modelName; const maxTokens = nodeData.inputs?.maxTokens; const cache = nodeData.inputs?.cache; const temperature = nodeData.inputs?.temperature; const streaming = nodeData.inputs?.streaming; const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options); const groqApiKey = (0, utils_1.getCredentialParam)('groqApiKey', credentialData, nodeData); const obj = { modelName, temperature: parseFloat(temperature), apiKey: groqApiKey, streaming: streaming ?? true }; if (maxTokens) obj.maxTokens = parseInt(maxTokens, 10); if (cache) obj.cache = cache; const model = new groq_1.ChatGroq(obj); return model; } } module.exports = { nodeClass: Groq_ChatModels }; //# sourceMappingURL=Groq.js.map