@n8n/n8n-nodes-langchain
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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 LmChatOpenRouter_node_exports = {};
__export(LmChatOpenRouter_node_exports, {
LmChatOpenRouter: () => LmChatOpenRouter
});
module.exports = __toCommonJS(LmChatOpenRouter_node_exports);
var import_openai = require("@langchain/openai");
var import_n8n_workflow = require("n8n-workflow");
var import_httpProxyAgent = require("../../../utils/httpProxyAgent");
var import_sharedFields = require("../../../utils/sharedFields");
var import_error_handling = require("../../vendors/OpenAi/helpers/error-handling");
var import_n8nLlmFailedAttemptHandler = require("../n8nLlmFailedAttemptHandler");
var import_N8nLlmTracing = require("../N8nLlmTracing");
class LmChatOpenRouter {
constructor() {
this.description = {
displayName: "OpenRouter Chat Model",
name: "lmChatOpenRouter",
icon: { light: "file:openrouter.svg", dark: "file:openrouter.dark.svg" },
group: ["transform"],
version: [1],
description: "For advanced usage with an AI chain",
defaults: {
name: "OpenRouter 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.lmchatopenrouter/"
}
]
}
},
inputs: [],
outputs: [import_n8n_workflow.NodeConnectionTypes.AiLanguageModel],
outputNames: ["Model"],
credentials: [
{
name: "openRouterApi",
required: true
}
],
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: "={{ $credentials?.url }}"
},
properties: [
(0, import_sharedFields.getConnectionHintNoticeField)([import_n8n_workflow.NodeConnectionTypes.AiChain, import_n8n_workflow.NodeConnectionTypes.AiAgent]),
{
displayName: 'If using JSON response format, you must include word "json" in the prompt in your chain or agent. Also, make sure to select latest models released post November 2023.',
name: "notice",
type: "notice",
default: "",
displayOptions: {
show: {
"/options.responseFormat": ["json_object"]
}
}
},
{
displayName: "Model",
name: "model",
type: "options",
description: 'The model which will generate the completion. <a href="https://openrouter.ai/docs/models">Learn more</a>.',
typeOptions: {
loadOptions: {
routing: {
request: {
method: "GET",
url: "/models"
},
output: {
postReceive: [
{
type: "rootProperty",
properties: {
property: "data"
}
},
{
type: "setKeyValue",
properties: {
name: "={{$responseItem.id}}",
value: "={{$responseItem.id}}"
}
},
{
type: "sort",
properties: {
key: "name"
}
}
]
}
}
}
},
routing: {
send: {
type: "body",
property: "model"
}
},
default: "openai/gpt-4.1-mini"
},
{
displayName: "Options",
name: "options",
placeholder: "Add Option",
description: "Additional options to add",
type: "collection",
default: {},
options: [
{
displayName: "Frequency Penalty",
name: "frequencyPenalty",
default: 0,
typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
description: "Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim",
type: "number"
},
{
displayName: "Maximum Number of Tokens",
name: "maxTokens",
default: -1,
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: "Response Format",
name: "responseFormat",
default: "text",
type: "options",
options: [
{
name: "Text",
value: "text",
description: "Regular text response"
},
{
name: "JSON",
value: "json_object",
description: "Enables JSON mode, which should guarantee the message the model generates is valid JSON"
}
]
},
{
displayName: "Presence Penalty",
name: "presencePenalty",
default: 0,
typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
description: "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics",
type: "number"
},
{
displayName: "Sampling Temperature",
name: "temperature",
default: 0.7,
typeOptions: { maxValue: 2, 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"
},
{
displayName: "Timeout",
name: "timeout",
default: 36e4,
description: "Maximum amount of time a request is allowed to take in milliseconds",
type: "number"
},
{
displayName: "Max Retries",
name: "maxRetries",
default: 2,
description: "Maximum number of retries to attempt",
type: "number"
},
{
displayName: "Top P",
name: "topP",
default: 1,
typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
description: "Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered. We generally recommend altering this or temperature but not both.",
type: "number"
}
]
}
]
};
}
async supplyData(itemIndex) {
const credentials = await this.getCredentials("openRouterApi");
const modelName = this.getNodeParameter("model", itemIndex);
const options = this.getNodeParameter("options", itemIndex, {});
const configuration = {
baseURL: credentials.url,
fetchOptions: {
dispatcher: (0, import_httpProxyAgent.getProxyAgent)(credentials.url)
}
};
const model = new import_openai.ChatOpenAI({
apiKey: credentials.apiKey,
model: modelName,
...options,
timeout: options.timeout ?? 6e4,
maxRetries: options.maxRetries ?? 2,
configuration,
callbacks: [new import_N8nLlmTracing.N8nLlmTracing(this)],
modelKwargs: options.responseFormat ? {
response_format: { type: options.responseFormat }
} : void 0,
onFailedAttempt: (0, import_n8nLlmFailedAttemptHandler.makeN8nLlmFailedAttemptHandler)(this, import_error_handling.openAiFailedAttemptHandler)
});
return {
response: model
};
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
LmChatOpenRouter
});
//# sourceMappingURL=LmChatOpenRouter.node.js.map