@n8n/n8n-nodes-langchain
Version:
152 lines • 5.96 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 ChainLlm_node_exports = {};
__export(ChainLlm_node_exports, {
ChainLlm: () => ChainLlm
});
module.exports = __toCommonJS(ChainLlm_node_exports);
var import_n8n_workflow = require("n8n-workflow");
var import_N8nOutputParser = require("../../../utils/output_parsers/N8nOutputParser");
var import_methods = require("./methods");
var import_processItem = require("./methods/processItem");
var import_error_handling = require("../../vendors/OpenAi/helpers/error-handling");
class ChainLlm {
constructor() {
this.description = {
displayName: "Basic LLM Chain",
name: "chainLlm",
icon: "fa:link",
iconColor: "black",
group: ["transform"],
version: [1, 1.1, 1.2, 1.3, 1.4, 1.5, 1.6, 1.7, 1.8, 1.9],
description: "A simple chain to prompt a large language model",
defaults: {
name: "Basic LLM Chain",
color: "#909298"
},
codex: {
alias: ["LangChain"],
categories: ["AI"],
subcategories: {
AI: ["Chains", "Root Nodes"]
},
resources: {
primaryDocumentation: [
{
url: "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
}
]
}
},
inputs: `={{ ((parameter) => { ${import_methods.getInputs.toString()}; return getInputs(parameter) })($parameter) }}`,
outputs: [import_n8n_workflow.NodeConnectionTypes.Main],
credentials: [],
properties: import_methods.nodeProperties
};
}
/**
* Main execution method for the node
*/
async execute() {
this.logger.debug("Executing Basic LLM Chain");
const items = this.getInputData();
const returnData = [];
const outputParser = await (0, import_N8nOutputParser.getOptionalOutputParser)(this);
const shouldUnwrapObjects = this.getNode().typeVersion >= 1.6 || !!outputParser;
const batchSize = this.getNodeParameter("batching.batchSize", 0, 5);
const delayBetweenBatches = this.getNodeParameter(
"batching.delayBetweenBatches",
0,
0
);
if (this.getNode().typeVersion >= 1.7 && batchSize > 1) {
for (let i = 0; i < items.length; i += batchSize) {
const batch = items.slice(i, i + batchSize);
const batchPromises = batch.map(async (_item, batchItemIndex) => {
return await (0, import_processItem.processItem)(this, i + batchItemIndex);
});
const batchResults = await Promise.allSettled(batchPromises);
batchResults.forEach((promiseResult, batchItemIndex) => {
const itemIndex = i + batchItemIndex;
if (promiseResult.status === "rejected") {
const error = promiseResult.reason;
if (error instanceof import_n8n_workflow.NodeApiError && (0, import_error_handling.isOpenAiError)(error.cause)) {
const openAiErrorCode = error.cause.error?.code;
if (openAiErrorCode) {
const customMessage = (0, import_error_handling.getCustomErrorMessage)(openAiErrorCode);
if (customMessage) {
error.message = customMessage;
}
}
}
if (this.continueOnFail()) {
returnData.push({
json: { error: error.message },
pairedItem: { item: itemIndex }
});
return;
}
throw new import_n8n_workflow.NodeOperationError(this.getNode(), error);
}
const responses = promiseResult.value;
responses.forEach((response) => {
returnData.push({
json: (0, import_methods.formatResponse)(response, shouldUnwrapObjects)
});
});
});
if (i + batchSize < items.length && delayBetweenBatches > 0) {
await (0, import_n8n_workflow.sleep)(delayBetweenBatches);
}
}
} else {
for (let itemIndex = 0; itemIndex < items.length; itemIndex++) {
try {
const responses = await (0, import_processItem.processItem)(this, itemIndex);
responses.forEach((response) => {
returnData.push({
json: (0, import_methods.formatResponse)(response, shouldUnwrapObjects)
});
});
} catch (error) {
if (error instanceof import_n8n_workflow.NodeApiError && (0, import_error_handling.isOpenAiError)(error.cause)) {
const openAiErrorCode = error.cause.error?.code;
if (openAiErrorCode) {
const customMessage = (0, import_error_handling.getCustomErrorMessage)(openAiErrorCode);
if (customMessage) {
error.message = customMessage;
}
}
}
if (this.continueOnFail()) {
returnData.push({ json: { error: error.message }, pairedItem: { item: itemIndex } });
continue;
}
throw error;
}
}
}
return [returnData];
}
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
ChainLlm
});
//# sourceMappingURL=ChainLlm.node.js.map