> For the complete documentation index, see [llms.txt](https://docs.rememberizer.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rememberizer.ai/additional-resources/releases/2025-releases/apr-18th-2025.md).

# Apr 18th, 2025

### New Features

* **Embedding Worker Tracking**: Introduced monitoring capabilities for the embedding worker to enhance performance and reliability.
* **Enhanced Documentation**: Provided updated documentation for both human users and AI assistants for improved guidance.

### Improvements

* **Improved Data Freshness**: Implemented cache timeouts to ensure users receive the most up-to-date information.
* **Optimized Notifications**: Adjusted alert settings to prevent duplicate notifications and enhance user experience.

### Bug Fixes

* **Account API Correction**: Resolved an issue where the account API did not return the correct CK description when using the CK API key.


---

# 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.rememberizer.ai/additional-resources/releases/2025-releases/apr-18th-2025.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.