> For the complete documentation index, see [llms.txt](https://dam-documentation.vitaliteration.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://dam-documentation.vitaliteration.com/admin/import-entries.md).

# Import Entries

**Only applicable to entry type CODE**

When you have massive account of entries and each of them have large amount of codes, then bulk import via CSV is a more convenient method

The CSV have to be in the correct format, it have to have the following column (t**he column name have to be in the exact wording**)

| product\_id | code     | status |
| ----------- | -------- | ------ |
| p321        | test-123 | draft  |
| p321        | test-456 | draft  |
| p321        | test-678 | draft  |
| p222        | 987      | live   |
| p222        | 654      | live   |

The following fields are repeats for each unique code

* product\_id
* status

Here is a sample CSV

{% file src="/files/-MZ8ijwX7glZMjNgPWE7" %}
Sample import CSV
{% endfile %}


---

# 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://dam-documentation.vitaliteration.com/admin/import-entries.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.