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@n8n/n8n-nodes-langchain

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"use strict"; var __defProp = Object.defineProperty; var __getOwnPropDesc = Object.getOwnPropertyDescriptor; var __getOwnPropNames = Object.getOwnPropertyNames; var __hasOwnProp = Object.prototype.hasOwnProperty; var __export = (target, all) => { for (var name in all) __defProp(target, name, { get: all[name], enumerable: true }); }; var __copyProps = (to, from, except, desc) => { if (from && typeof from === "object" || typeof from === "function") { for (let key of __getOwnPropNames(from)) if (!__hasOwnProp.call(to, key) && key !== except) __defProp(to, key, { get: () => from[key], enumerable: !(desc = __getOwnPropDesc(from, key)) || desc.enumerable }); } return to; }; var __toCommonJS = (mod) => __copyProps(__defProp({}, "__esModule", { value: true }), mod); var LmCohere_node_exports = {}; __export(LmCohere_node_exports, { LmCohere: () => LmCohere }); module.exports = __toCommonJS(LmCohere_node_exports); var import_cohere = require("@langchain/cohere"); var import_n8n_workflow = require("n8n-workflow"); var import_sharedFields = require("../../../utils/sharedFields"); var import_n8nLlmFailedAttemptHandler = require("../n8nLlmFailedAttemptHandler"); var import_N8nLlmTracing = require("../N8nLlmTracing"); class LmCohere { constructor() { this.description = { displayName: "Cohere Model", name: "lmCohere", icon: { light: "file:cohere.svg", dark: "file:cohere.dark.svg" }, group: ["transform"], version: 1, description: "Language Model Cohere", defaults: { name: "Cohere Model" }, codex: { categories: ["AI"], subcategories: { AI: ["Language Models", "Root Nodes"], "Language Models": ["Text Completion Models"] }, resources: { primaryDocumentation: [ { url: "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmcohere/" } ] } }, inputs: [], outputs: [import_n8n_workflow.NodeConnectionTypes.AiLanguageModel], outputNames: ["Model"], credentials: [ { name: "cohereApi", required: true } ], properties: [ (0, import_sharedFields.getConnectionHintNoticeField)([import_n8n_workflow.NodeConnectionTypes.AiChain, import_n8n_workflow.NodeConnectionTypes.AiAgent]), { displayName: "Options", name: "options", placeholder: "Add Option", description: "Additional options to add", type: "collection", default: {}, options: [ { displayName: "Maximum Number of Tokens", name: "maxTokens", default: 250, description: "The maximum number of tokens to generate in the completion. Most models have a context length of 2048 tokens (except for the newest models, which support 32,768).", type: "number", typeOptions: { maxValue: 32768 } }, { displayName: "Model", name: "model", type: "string", description: "The name of the model to use", default: "" }, { displayName: "Sampling Temperature", name: "temperature", default: 0, typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 }, description: "Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.", type: "number" } ] } ] }; } async supplyData(itemIndex) { const credentials = await this.getCredentials("cohereApi"); const options = this.getNodeParameter("options", itemIndex, {}); const model = new import_cohere.Cohere({ apiKey: credentials.apiKey, ...options, callbacks: [new import_N8nLlmTracing.N8nLlmTracing(this)], onFailedAttempt: (0, import_n8nLlmFailedAttemptHandler.makeN8nLlmFailedAttemptHandler)(this) }); return { response: model }; } } // Annotate the CommonJS export names for ESM import in node: 0 && (module.exports = { LmCohere }); //# sourceMappingURL=LmCohere.node.js.map