@n8n/n8n-nodes-langchain
Version:
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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 analyze_operation_exports = {};
__export(analyze_operation_exports, {
description: () => description,
execute: () => execute
});
module.exports = __toCommonJS(analyze_operation_exports);
var import_n8n_workflow = require("n8n-workflow");
var import_transport = require("../../../transport");
var import_descriptions = require("../descriptions");
var import_binary_data = require("../../../helpers/binary-data");
const properties = [
{
...(0, import_descriptions.modelRLC)("imageModelSearch")
},
{
displayName: "Text Input",
name: "text",
type: "string",
placeholder: "e.g. What's in this image?",
default: "What's in this image?",
typeOptions: {
rows: 2
}
},
{
displayName: "Input Type",
name: "inputType",
type: "options",
default: "url",
options: [
{
name: "Image URL(s)",
value: "url"
},
{
name: "Binary File(s)",
value: "base64"
}
]
},
{
displayName: "URL(s)",
name: "imageUrls",
type: "string",
placeholder: "e.g. https://example.com/image.jpeg",
description: "URL(s) of the image(s) to analyze, multiple URLs can be added separated by comma",
default: "",
displayOptions: {
show: {
inputType: ["url"]
}
}
},
{
displayName: "Input Data Field Name",
name: "binaryPropertyName",
type: "string",
default: "data",
placeholder: "e.g. data",
hint: "The name of the input field containing the binary file data to be processed",
description: "Name of the binary property which contains the image(s)",
displayOptions: {
show: {
inputType: ["base64"]
}
}
},
{
displayName: "Simplify Output",
name: "simplify",
type: "boolean",
default: true,
description: "Whether to simplify the response or not"
},
{
displayName: "Options",
name: "options",
placeholder: "Add Option",
type: "collection",
default: {},
options: [
{
displayName: "Detail",
name: "detail",
type: "options",
default: "auto",
options: [
{
name: "Auto",
value: "auto",
description: "Model will look at the image input size and decide if it should use the low or high setting"
},
{
name: "Low",
value: "low",
description: "Return faster responses and consume fewer tokens"
},
{
name: "High",
value: "high",
description: "Return more detailed responses, consumes more tokens"
}
]
},
{
displayName: "Length of Description (Max Tokens)",
description: "Fewer tokens will result in shorter, less detailed image description",
name: "maxTokens",
type: "number",
default: 300,
typeOptions: {
minValue: 1
}
}
]
}
];
const displayOptions = {
show: {
operation: ["analyze"],
resource: ["image"]
}
};
const description = (0, import_n8n_workflow.updateDisplayOptions)(displayOptions, properties);
async function execute(i) {
const model = this.getNodeParameter("modelId", i, "gpt-4o", { extractValue: true });
const text = this.getNodeParameter("text", i, "");
const inputType = this.getNodeParameter("inputType", i);
const options = this.getNodeParameter("options", i, {});
const content = [
{
type: "input_text",
text
}
];
const detail = options.detail || "auto";
if (inputType === "url") {
const imageUrls = this.getNodeParameter("imageUrls", i).split(",").map((url) => url.trim());
for (const url of imageUrls) {
content.push({
type: "input_image",
detail,
image_url: url
});
}
} else {
const binaryPropertyName = this.getNodeParameter("binaryPropertyName", i).split(",").map((propertyName) => propertyName.trim());
for (const propertyName of binaryPropertyName) {
const { fileContent, contentType } = await (0, import_binary_data.getBinaryDataFile)(this, i, propertyName);
const buffer = await this.helpers.binaryToBuffer(fileContent);
const fileBase64 = buffer.toString("base64");
content.push({
type: "input_image",
detail,
image_url: `data:${contentType};base64,${fileBase64}`
});
}
}
const body = {
model,
input: [
{
role: "user",
content
}
],
max_output_tokens: options.maxTokens || 300
};
const response = await import_transport.apiRequest.call(this, "POST", "/responses", {
body
});
const simplify = this.getNodeParameter("simplify", i);
if (simplify) {
return [
{
json: response.output,
pairedItem: { item: i }
}
];
}
return [
{
json: response,
pairedItem: { item: i }
}
];
}
// Annotate the CommonJS export names for ESM import in node:
0 && (module.exports = {
description,
execute
});
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