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

# December 2023

### New features and improvements

* The **notification aggregation** and suppression has been **reworked**, each notification channel now supports a unique suppression style e.g. voice calls now 3 per 3 minutes per alert source or push notifications now up to 20 per minute as long as their content is unique (*find out more in Alerting -> Understanding event flows -> Notification aggregation*)
* AI assisted **postmortems** is now in **open beta**, enable ilert AI in the account owner's account settings and visit an incident to try it out
* Status pages now support themes: feel free to switch to our new **status page dark theme** if it fits your branding
* The repeating schedules API has been stabilised for Terraform use cases
* We have launched **ilert wrapped 2023** (check out your responder year recap, it will be available until 12.01.24)


---

# 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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.ilert.com/changelog/2023/december-2023.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
