> For the complete documentation index, see [llms.txt](https://docs.nexthink.com/platform/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.nexthink.com/platform/ja/whats-new/2023.md).

# 2023年の新着情報

| [2023年10月の新着情報](/platform/ja/whats-new/2023/whats-new-2023.10.md)         |
| ------------------------------------------------------------------------- |
| [2023年9月の新着情報](/platform/ja/whats-new/2023/whats-new-2023.9.md)           |
| [2023年8月の新着情報](/platform/ja/whats-new/2023/whats-new-2023.8.md)           |
| [2023年7月の新着情報](/platform/ja/whats-new/2023/whats-new-2023.7.md)           |
| [2023年6月の新着情報](/platform/ja/whats-new/2023/whats-new-2023.6.md)           |
| [2023年5月の新着情報](/platform/ja/whats-new/2023/whats-new-2023.5.md)           |
| [2023年4月の新着情報](/platform/ja/whats-new/2023/whats-new-2023.4.md)           |
| [2023年3月の新着情報](/platform/ja/whats-new/2023/whats-new-2023.3.md)           |
| [2023年2月の新着情報](/platform/ja/whats-new/whats-new-2024/whats-new-2024.2.md) |
| [2023年1月の新着情報](/platform/ja/whats-new/2023/whats-new-2023.1.md)           |


---

# Agent Instructions
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## 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:

```
GET https://docs.nexthink.com/platform/ja/whats-new/2023.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.
