@n8n/n8n-nodes-langchain
Version:
166 lines • 5.83 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 LmChatGroq_node_exports = {};
__export(LmChatGroq_node_exports, {
LmChatGroq: () => LmChatGroq
});
module.exports = __toCommonJS(LmChatGroq_node_exports);
var import_groq = require("@langchain/groq");
var import_n8n_workflow = require("n8n-workflow");
var import_httpProxyAgent = require("../../../utils/httpProxyAgent");
var import_sharedFields = require("../../../utils/sharedFields");
var import_n8nLlmFailedAttemptHandler = require("../n8nLlmFailedAttemptHandler");
var import_N8nLlmTracing = require("../N8nLlmTracing");
class LmChatGroq {
constructor() {
this.description = {
displayName: "Groq Chat Model",
name: "lmChatGroq",
icon: "file:groq.svg",
group: ["transform"],
version: 1,
description: "Language Model Groq",
defaults: {
name: "Groq Chat Model"
},
codex: {
categories: ["AI"],
subcategories: {
AI: ["Language Models", "Root Nodes"],
"Language Models": ["Chat Models (Recommended)"]
},
resources: {
primaryDocumentation: [
{
url: "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgroq/"
}
]
}
},
inputs: [],
outputs: [import_n8n_workflow.NodeConnectionTypes.AiLanguageModel],
outputNames: ["Model"],
credentials: [
{
name: "groqApi",
required: true
}
],
requestDefaults: {
baseURL: "https://api.groq.com/openai/v1"
},
properties: [
(0, import_sharedFields.getConnectionHintNoticeField)([import_n8n_workflow.NodeConnectionTypes.AiChain, import_n8n_workflow.NodeConnectionTypes.AiChain]),
{
displayName: "Model",
name: "model",
type: "options",
typeOptions: {
loadOptions: {
routing: {
request: {
method: "GET",
url: "/models"
},
output: {
postReceive: [
{
type: "rootProperty",
properties: {
property: "data"
}
},
{
type: "filter",
properties: {
pass: '={{ $responseItem.active === true && $responseItem.object === "model" }}'
}
},
{
type: "setKeyValue",
properties: {
name: "={{$responseItem.id}}",
value: "={{$responseItem.id}}"
}
}
]
}
}
}
},
routing: {
send: {
type: "body",
property: "model"
}
},
description: 'The model which will generate the completion. <a href="https://console.groq.com/docs/models">Learn more</a>.',
default: "llama3-8b-8192"
},
{
displayName: "Options",
name: "options",
placeholder: "Add Option",
description: "Additional options to add",
type: "collection",
default: {},
options: [
{
displayName: "Maximum Number of Tokens",
name: "maxTokensToSample",
default: 4096,
description: "The maximum number of tokens to generate in the completion",
type: "number"
},
{
displayName: "Sampling Temperature",
name: "temperature",
default: 0.7,
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("groqApi");
const modelName = this.getNodeParameter("model", itemIndex);
const options = this.getNodeParameter("options", itemIndex, {});
const model = new import_groq.ChatGroq({
apiKey: credentials.apiKey,
model: modelName,
maxTokens: options.maxTokensToSample,
temperature: options.temperature,
callbacks: [new import_N8nLlmTracing.N8nLlmTracing(this)],
httpAgent: (0, import_httpProxyAgent.getProxyAgent)("https://api.groq.com/openai/v1"),
onFailedAttempt: (0, import_n8nLlmFailedAttemptHandler.makeN8nLlmFailedAttemptHandler)(this)
});
return {
response: model
};
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
LmChatGroq
});
//# sourceMappingURL=LmChatGroq.node.js.map