Tensorleap shows a notification group for [any Process](/user-interface/project/menu-bar/runs-and-processes.md#process-types-in-tensorleap) that is manually or automatically intiated in the platform. All notifications that are related to the same process, would be grouped within the same notification group. Clicking on a notification group temporarily seperate the group so individual messages on the notifications could be read. The outer-most notification in a notification group is the most recent one.
The Tensorleap notification are color coded to indicate the following:
* Gray - Process is pending and has not started yet
* Blue - Process has started
* Orange - There is a warning emitted from the process that does not force the process to terminate
* Green - Process completed succesfully
* Red - There was an error in the process and it was terminated.
Thus, a valid process starts with a gray/blue notification and ends with a green notification.
Several Processes Failures result in the error being explicitly stated inside the notification body, so it is highly advised to look at the notifications in failing cases. Other processes, such as the dataset parse, need to present a larger error (such as a stacktrace) and thus their errors could be viewed in specialized places. For the case of dataset parse it is the [console](/user-interface/project/network/code-integration/code-viewing.md#the-console) for UI uploaded datasets and the console if the [CLI](/tensorleap-integration/uploading-with-cli/cli-assets-upload.md#uploading-code-only) was used.
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# 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.tensorleap.ai/user-interface/project/menu-bar/notifications.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.