> For the complete documentation index, see [llms.txt](https://api.eagle.cool/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://api.eagle.cool/item/update.md).

# /api/item/update

**`POST`** Modify data of specified fields of the item. 

**What tasks can be done with this function?**

* Text output from the external OCR Tools can be added as tags, annotations to the image, and serve as search conditions for later use. 
* The analysis result of the image generated by external Object Detection Tools can be added in the form of tags, and serve as a search condition.

**Fields that can be modified are listed as follows:**

| Parameter  | Description                                 |
| ---------- | ------------------------------------------- |
| id         | Required, the ID of the item to be modified |
| tags       | Optional, tags                              |
| annotation | Optional, annotations                       |
| url        | Optional, the source url                    |
| star       | Optional, ratings                           |

**Sample Code:**

```javascript
var data = {
    "id": "KBN1X9NHDZ99F",
  "tags": ["Design1", "Design2"],
  "annotation": "Awesome",
  "url": "https://dribbble/com",
  "star": 4
};

var requestOptions = {
  method: 'POST',
  body: JSON.stringify(data),
  redirect: 'follow'
};

fetch("http://localhost:41595/api/item/update", requestOptions)
  .then(response => response.json())
  .then(result => console.log(result))
  .catch(error => console.log('error', error));
```

**Results Returned:**

```javascript
{
    "status": "success",
    "data": {
        "id": "KBN1X9NHDZ99F",
        "name": "Top Character Design Trends for 2019 Bold  Impressive",
        "size": 18447,
        "ext": "jpg",
        "tags": [
            "Design1",
            "Design2"
        ],
        "folders": [
            "KBJJSMMVF9WYL"
        ],
        "isDeleted": false,
        "url": "https://dribbble/com",
        "annotation": "Awesome",
        "modificationTime": 1592621841437,
        "width": 450,
        "height": 545,
        "noThumbnail": true,
        "lastModified": 1592625558780,
        "palettes": [
            {
                "color": [
                    251,
                    244,
                    221
                ],
                "ratio": 80,
                "$$hashKey": "object:678"
            },
            {
                "color": [
                    10,
                    185,
                    202
                ],
                "ratio": 7,
                "$$hashKey": "object:679"
            },
            {
                "color": [
                    26,
                    37,
                    64
                ],
                "ratio": 6,
                "$$hashKey": "object:680"
            },
            {
                "color": [
                    217,
                    83,
                    11
                ],
                "ratio": 4.42,
                "$$hashKey": "object:681"
            },
            {
                "color": [
                    242,
                    200,
                    172
                ],
                "ratio": 0.51,
                "$$hashKey": "object:682"
            },
            {
                "color": [
                    214,
                    170,
                    135
                ],
                "ratio": 0.44,
                "$$hashKey": "object:683"
            },
            {
                "color": [
                    154,
                    208,
                    220
                ],
                "ratio": 0.31,
                "$$hashKey": "object:684"
            }
        ],
        "star": 4
    }
}
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://api.eagle.cool/item/update.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.