@n8n/n8n-nodes-langchain
Version:

122 lines • 4.4 kB
JavaScript
;
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