@n8n/n8n-nodes-langchain
Version:
284 lines • 9.41 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) => {
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__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 create_operation_exports = {};
__export(create_operation_exports, {
description: () => description,
execute: () => execute
});
module.exports = __toCommonJS(create_operation_exports);
var import_n8n_workflow = require("n8n-workflow");
var import_transport = require("../../../transport");
var import_descriptions = require("../descriptions");
const properties = [
(0, import_descriptions.modelRLC)("modelSearch"),
{
displayName: "Name",
name: "name",
type: "string",
default: "",
description: "The name of the assistant. The maximum length is 256 characters.",
placeholder: "e.g. My Assistant",
required: true
},
{
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"
},
{
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: "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: "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>'
},
//we want to display Files selector only when codeInterpreter true or knowledgeRetrieval true or both
{
// 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",
displayOptions: {
show: {
codeInterpreter: [true]
},
hide: {
knowledgeRetrieval: [true]
}
}
},
{
// 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",
typeOptions: {
loadOptionsMethod: "getFiles"
},
default: [],
hint: "Add more files by using the 'Upload a File' operation",
displayOptions: {
show: {
knowledgeRetrieval: [true]
},
hide: {
codeInterpreter: [true]
}
}
},
{
// 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",
typeOptions: {
loadOptionsMethod: "getFiles"
},
default: [],
hint: "Add more files by using the 'Upload a File' operation",
displayOptions: {
show: {
knowledgeRetrieval: [true],
codeInterpreter: [true]
}
}
},
{
displayName: "Add custom n8n tools when you <i>message</i> your assistant (rather than when creating it)",
name: "noticeTools",
type: "notice",
default: ""
},
{
displayName: "Options",
name: "options",
placeholder: "Add Option",
type: "collection",
default: {},
options: [
{
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"
},
{
displayName: "Fail if Assistant Already Exists",
name: "failIfExists",
type: "boolean",
default: false,
description: "Whether to fail an operation if the assistant with the same name already exists"
}
]
}
];
const displayOptions = {
show: {
operation: ["create"],
resource: ["assistant"]
}
};
const description = (0, import_n8n_workflow.updateDisplayOptions)(displayOptions, properties);
async function execute(i) {
const model = this.getNodeParameter("modelId", i, "", { extractValue: true });
const name = this.getNodeParameter("name", i);
const assistantDescription = this.getNodeParameter("description", i);
const instructions = this.getNodeParameter("instructions", i);
const codeInterpreter = this.getNodeParameter("codeInterpreter", i);
const knowledgeRetrieval = this.getNodeParameter("knowledgeRetrieval", i);
let file_ids = this.getNodeParameter("file_ids", i, []);
if (typeof file_ids === "string") {
file_ids = file_ids.split(",").map((file_id) => file_id.trim());
}
const options = this.getNodeParameter("options", i, {});
if (options.failIfExists) {
const assistants = [];
let has_more = true;
let after;
do {
const response2 = await import_transport.apiRequest.call(this, "GET", "/assistants", {
headers: {
"OpenAI-Beta": "assistants=v2"
},
qs: {
limit: 100,
after
}
});
for (const assistant of response2.data || []) {
assistants.push(assistant.name);
}
has_more = response2.has_more;
if (has_more) {
after = response2.last_id;
} else {
break;
}
} while (has_more);
if (assistants.includes(name)) {
throw new import_n8n_workflow.NodeOperationError(
this.getNode(),
`An assistant with the same name '${name}' already exists`,
{ itemIndex: i }
);
}
}
if (file_ids.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 }
);
}
const body = {
model,
name,
description: assistantDescription,
instructions
};
const tools = [];
if (codeInterpreter) {
tools.push({
type: "code_interpreter"
});
body.tool_resources = {
...body.tool_resources ?? {},
code_interpreter: {
file_ids
}
};
}
if (knowledgeRetrieval) {
tools.push({
type: "file_search"
});
body.tool_resources = {
...body.tool_resources ?? {},
file_search: {
vector_stores: [
{
file_ids
}
]
}
};
}
if (tools.length) {
body.tools = tools;
}
const response = await import_transport.apiRequest.call(this, "POST", "/assistants", {
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=create.operation.js.map