# 6.66.0 June 13, 2024 ## **What's new** 💡 ### **Data Studio** * Custom Report Builder — Use two decimal places instead of round number for time spent metrics. * Made adjustments to ensure that Metadata Extensions will only be added to Span and Row Labeling projects. * View the Analytics Overview filtered by project tag. ### **LLM Labs** * Vertex AI Embedding Models are now available for use with Vector Stores. * Users now able to rearrange the order of applications in the LLM Playground interface. * Improve the input option for hyperparameters configurations in LLM Playground Application. * A new progress bar now indicates the loading process when opening a newly added vector store with many files. * A new indicator in LLM Playground flags prompt results that might be outdated due to recent model or data updates. * A new Application Saving feature. This will allow users to save and use their Application across workspace. * The Vector Stores page now displays the total number of files being processed and the number successfully processed. * Added the BaseURL for external vector stores to the Vector Stores page. Now you can easily view the base URL for each store directly within the page. ## **Bug fixes** 🐞 ### **Data Studio** * Fixed an issue in Bounding Box Labeling project where the label box would close immediately after pressing the Esc key. * Fixed an issue where accessing the Label Error Detection extension becomes stuck on loading when using the Supervisor role. * Fixed an issue where moving or editing the bounding box label would reset the latest caption and/or attributes. * Fixed the missing efficiency chart on the member page. ### **LLM Labs** * Fixed an issue where a snack bar error message appeared after a user deleted a file in Vector Stores. * Fixed an issue where the prompt card disappear while typing on the prompt input. --- # Agent Instructions: 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.datasaur.ai/compatibility-and-updates/release-notes/version-6/6.66.0.md?ask= ``` 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.