> For the complete documentation index, see [llms.txt](https://docs.igenius.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.igenius.ai/release-notes/archive/2023/version-2.42.md).

# Version 2.42

## <mark style="color:purple;">News</mark>

### <mark style="color:purple;">General</mark>

### <mark style="color:purple;">Web (v2.42)</mark>

#### ✔️ Conversation | Cross-languages Time Aggregations and Months Abbreviations

Whilst using the product in a language different from English, you are now able to use English translations when referring to time aggregations (day, week, month, quarter, semester, year), or when writing the month as an English abbreviation (e.g. January=Jan) in your sentences.

Crystal will understand them and correctly apply them to the Topics as if they were not written in English.

#### ✔️ Autocomplete | Filters Visibility

When you receive a Filter Suggestion from Autocomplete, you are now able to view only the Dynamic Filters and related Filter Values on which you have permission in order to be able to apply them to the Topic in focus.

{% hint style="info" %}

#### <mark style="color:blue;">**Just for Admin users**</mark>

#### ✔️ Topic Configuration | Static Filters Improvement&#x20;

When applying a Static Filter to the Topic you are building, you can filter out all rows of the Topic Data Model already created in order to be aware of the columns that present the following details:

* one or more “NULL” values;
* one or more Non "NULL" values;
* one or more Empty Strings.
  {% endhint %}

Need further help with Crystal? Visit our full [Resources](https://igenius.gitbook.io/en/)!


---

# 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://docs.igenius.ai/release-notes/archive/2023/version-2.42.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.