@n8n/n8n-nodes-langchain
Version:
171 lines • 6.21 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 LmChatGoogleGemini_node_exports = {};
__export(LmChatGoogleGemini_node_exports, {
LmChatGoogleGemini: () => LmChatGoogleGemini
});
module.exports = __toCommonJS(LmChatGoogleGemini_node_exports);
var import_google_genai = require("@langchain/google-genai");
var import_n8n_workflow = require("n8n-workflow");
var import_sharedFields = require("../../../utils/sharedFields");
var import_additional_options = require("../gemini-common/additional-options");
var import_n8nLlmFailedAttemptHandler = require("../n8nLlmFailedAttemptHandler");
var import_N8nLlmTracing = require("../N8nLlmTracing");
function errorDescriptionMapper(error) {
if (error.description?.includes("properties: should be non-empty for OBJECT type")) {
return 'Google Gemini requires at least one <a href="https://docs.n8n.io/advanced-ai/examples/using-the-fromai-function/" target="_blank">dynamic parameter</a> when using tools';
}
return error.description ?? "Unknown error";
}
class LmChatGoogleGemini {
constructor() {
this.description = {
displayName: "Google Gemini Chat Model",
name: "lmChatGoogleGemini",
icon: "file:google.svg",
group: ["transform"],
version: 1,
description: "Chat Model Google Gemini",
defaults: {
name: "Google Gemini 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.lmchatgooglegemini/"
}
]
}
},
inputs: [],
outputs: [import_n8n_workflow.NodeConnectionTypes.AiLanguageModel],
outputNames: ["Model"],
credentials: [
{
name: "googlePalmApi",
required: true
}
],
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: "={{ $credentials.host }}"
},
properties: [
(0, import_sharedFields.getConnectionHintNoticeField)([import_n8n_workflow.NodeConnectionTypes.AiChain, import_n8n_workflow.NodeConnectionTypes.AiAgent]),
{
displayName: "Model",
name: "modelName",
type: "options",
description: 'The model which will generate the completion. <a href="https://developers.generativeai.google/api/rest/generativelanguage/models/list">Learn more</a>.',
typeOptions: {
loadOptions: {
routing: {
request: {
method: "GET",
url: "/v1beta/models"
},
output: {
postReceive: [
{
type: "rootProperty",
properties: {
property: "models"
}
},
{
type: "filter",
properties: {
pass: "={{ !$responseItem.name.includes('embedding') }}"
}
},
{
type: "setKeyValue",
properties: {
name: "={{$responseItem.name}}",
value: "={{$responseItem.name}}",
description: "={{$responseItem.description}}"
}
},
{
type: "sort",
properties: {
key: "name"
}
}
]
}
}
}
},
routing: {
send: {
type: "body",
property: "model"
}
},
default: "models/gemini-2.5-flash"
},
// thinking budget not supported in @langchain/google-genai
// as it utilises the old google generative ai SDK
(0, import_additional_options.getAdditionalOptions)({ supportsThinkingBudget: false })
]
};
}
async supplyData(itemIndex) {
const credentials = await this.getCredentials("googlePalmApi");
const modelName = this.getNodeParameter("modelName", itemIndex);
const options = this.getNodeParameter("options", itemIndex, {
maxOutputTokens: 1024,
temperature: 0.7,
topK: 40,
topP: 0.9
});
const safetySettings = this.getNodeParameter(
"options.safetySettings.values",
itemIndex,
null
);
const model = new import_google_genai.ChatGoogleGenerativeAI({
apiKey: credentials.apiKey,
baseUrl: credentials.host,
model: modelName,
topK: options.topK,
topP: options.topP,
temperature: options.temperature,
maxOutputTokens: options.maxOutputTokens,
safetySettings,
callbacks: [new import_N8nLlmTracing.N8nLlmTracing(this, { errorDescriptionMapper })],
onFailedAttempt: (0, import_n8nLlmFailedAttemptHandler.makeN8nLlmFailedAttemptHandler)(this)
});
return {
response: model
};
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
LmChatGoogleGemini
});
//# sourceMappingURL=LmChatGoogleGemini.node.js.map