> For the complete documentation index, see [llms.txt](https://support.meetuma.ai/uma-knowledgebase/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://support.meetuma.ai/uma-knowledgebase/release-notes/web/2024/v3.1.0-24th-october-2024.md).

# v3.1.0 - 24th October 2024

<figure><img src="https://627748108-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F0shDrJltbdGiCRz6ip4Z%2Fuploads%2F5Rlb0yO9d7hnV146pkEL%2FTSW-1070-LB-B-S.jpeg?alt=media&amp;token=24a6bfc1-e699-4c41-8bf6-f5cb0c072158" alt="" width="375"><figcaption></figcaption></figure>

### Crestron x70 Room Scheduling Panel Integration

We have implemented the ability to control the LEDs on Crestron x70 panels while using the UMA Book WebApp (<https://book.meetuma.ai>).&#x20;

After collaborating with Crestron, we are excited to introduce the following new feature:

* **LED Light Bar Control on Crestron x70 Panels:**
  * The UMA Book WebApp can now control the RGB color, brightness, and blink time of the LED light bars on the Crestron x70 panels.
  * As per the standard UMA logic, LED's will turn red when the room is booked in the calendar or if a people counting sensor has detected people in the room.
  * This functionality is enabled by leveraging Crestron General Web Mode and the Crestron Signal Transport API through Javascript bindings.

#### How to Enable:

1. **Panel Configuration:**
   * Navigate to the settings of the Crestron panel.
   * Change the application mode to **Crestron General Web** mode.
   * Input the UMA Book WebApp URL (<https://book.meetuma.ai>).
   * Pair the web application following this [guide](/uma-knowledgebase/getting-started/set-up-your-hardware/applications/pair-an-application.md).

### Recurring Meetings (Monthly)

Users can now schedule monthly recurring meetings directly from the 'My Floor' view.


---

# 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://support.meetuma.ai/uma-knowledgebase/release-notes/web/2024/v3.1.0-24th-october-2024.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.
