@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 update_operation_exports = {};
__export(update_operation_exports, {
description: () => description,
execute: () => execute
});
module.exports = __toCommonJS(update_operation_exports);
var import_n8n_workflow = require("n8n-workflow");
var import_transport = require("../../../transport");
var import_descriptions = require("../descriptions");
const properties = [
import_descriptions.assistantRLC,
{
displayName: "Options",
name: "options",
placeholder: "Add Option",
type: "collection",
default: {},
options: [
{
displayName: "Code Interpreter",
name: "codeInterpreter",
type: "boolean",
default: false,
description: 'Whether to enable the code interpreter that allows the assistants to write and run Python code in a sandboxed execution environment, find more <a href="https://platform.openai.com/docs/assistants/tools/code-interpreter" target="_blank">here</a>'
},
{
displayName: "Description",
name: "description",
type: "string",
default: "",
description: "The description of the assistant. The maximum length is 512 characters.",
placeholder: "e.g. My personal assistant"
},
{
// eslint-disable-next-line n8n-nodes-base/node-param-display-name-wrong-for-dynamic-multi-options
displayName: "Files",
name: "file_ids",
type: "multiOptions",
// eslint-disable-next-line n8n-nodes-base/node-param-description-wrong-for-dynamic-multi-options
description: "The files to be used by the assistant, there can be a maximum of 20 files attached to the assistant. You can use expression to pass file IDs as an array or comma-separated string.",
typeOptions: {
loadOptionsMethod: "getFiles"
},
default: [],
hint: "Add more files by using the 'Upload a File' operation, any existing files not selected here will be removed."
},
{
displayName: "Instructions",
name: "instructions",
type: "string",
description: "The system instructions that the assistant uses. The maximum length is 32768 characters.",
default: "",
typeOptions: {
rows: 2
}
},
{
displayName: "Knowledge Retrieval",
name: "knowledgeRetrieval",
type: "boolean",
default: false,
description: 'Whether to augments the assistant with knowledge from outside its model, such as proprietary product information or documents, find more <a href="https://platform.openai.com/docs/assistants/tools/knowledge-retrieval" target="_blank">here</a>'
},
{ ...(0, import_descriptions.modelRLC)("modelSearch"), required: false },
{
displayName: "Name",
name: "name",
type: "string",
default: "",
description: "The name of the assistant. The maximum length is 256 characters.",
placeholder: "e.g. My Assistant"
},
{
displayName: "Remove All Custom Tools (Functions)",
name: "removeCustomTools",
type: "boolean",
default: false,
description: "Whether to remove all custom tools (functions) from the assistant"
},
{
displayName: "Output Randomness (Temperature)",
name: "temperature",
default: 1,
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. We generally recommend altering this or temperature but not both.",
type: "number"
},
{
displayName: "Output Randomness (Top P)",
name: "topP",
default: 1,
typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
description: "An alternative to sampling with temperature, 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"
}
]
}
];
const displayOptions = {
show: {
operation: ["update"],
resource: ["assistant"]
}
};
const description = (0, import_n8n_workflow.updateDisplayOptions)(displayOptions, properties);
function getFileIds(file_ids) {
if (Array.isArray(file_ids)) {
return file_ids;
}
if (typeof file_ids === "string") {
return file_ids.split(",").map((file_id) => file_id.trim());
}
throw new import_n8n_workflow.ApplicationError("Invalid file_ids type");
}
async function execute(i) {
const assistantId = this.getNodeParameter("assistantId", i, "", { extractValue: true });
const options = this.getNodeParameter("options", i, {});
const {
modelId,
name,
instructions,
codeInterpreter,
knowledgeRetrieval,
file_ids,
removeCustomTools,
temperature,
topP
} = options;
const assistantDescription = options.description;
const body = {};
if (file_ids) {
const files = getFileIds(file_ids);
if (files.length > 20) {
throw new import_n8n_workflow.NodeOperationError(
this.getNode(),
"The maximum number of files that can be attached to the assistant is 20",
{ itemIndex: i }
);
}
body.tool_resources = {
...body.tool_resources ?? {},
code_interpreter: {
file_ids: files
}
// updating file_ids for file_search directly is not supported by OpenAI API
// only updating vector_store_ids for file_search is supported
// support for this to be added as part of ADO-2968
// https://platform.openai.com/docs/api-reference/assistants/modifyAssistant
};
}
if (modelId) {
body.model = this.getNodeParameter("options.modelId", i, "", { extractValue: true });
}
if (name) {
body.name = name;
}
if (assistantDescription) {
body.description = assistantDescription;
}
if (instructions) {
body.instructions = instructions;
}
if (temperature) {
body.temperature = temperature;
}
if (topP) {
body.topP = topP;
}
let tools = (await import_transport.apiRequest.call(this, "GET", `/assistants/${assistantId}`, {
headers: {
"OpenAI-Beta": "assistants=v2"
}
})).tools || [];
if (codeInterpreter && !tools.find((tool) => tool.type === "code_interpreter")) {
tools.push({
type: "code_interpreter"
});
}
if (codeInterpreter === false && tools.find((tool) => tool.type === "code_interpreter")) {
tools = tools.filter((tool) => tool.type !== "code_interpreter");
}
if (knowledgeRetrieval && !tools.find((tool) => tool.type === "file_search")) {
tools.push({
type: "file_search"
});
}
if (knowledgeRetrieval === false && tools.find((tool) => tool.type === "file_search")) {
tools = tools.filter((tool) => tool.type !== "file_search");
}
if (removeCustomTools) {
tools = tools.filter((tool) => tool.type !== "function");
}
body.tools = tools;
const response = await import_transport.apiRequest.call(this, "POST", `/assistants/${assistantId}`, {
body,
headers: {
"OpenAI-Beta": "assistants=v2"
}
});
return [
{
json: response,
pairedItem: { item: i }
}
];
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
description,
execute
});
//# sourceMappingURL=update.operation.js.map