# Prompt Observability

Karini AI's prompt playground enables you to easily observe prompt traces. When a prompt response is being generated, you can click on the trace icon to view detailed step-by-step information about the prompt request processing and response generation. 

This includes the following:

* **Traces and Requests:** You can see the traces for each operation that is executed during the prompt processing. It includes the following:  
  * Input: 
  * Output:
* **Attributes:** These include various parameters and metrics associated with each request. Some of the attributes include:
  * Input Tokens:
  * Completion tokens:
  * Model parameters such as temperature, max tokens etc.

Please refer to the video to view the prompt traces.

{% embed url="<https://files.gitbook.com/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F7ZrVuiAUMyuYVvrK5KaB%2Fuploads%2FvqvTHHeDQUSiRo9QXwEn%2FPrompt%20test%20and%20compare.mp4?alt=media&token=27372d32-4e33-4b1f-b4c5-2ea06842070d>" %}


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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://karini-ai.gitbook.io/karini-ai-documentation/prompt-management/test-prompt/prompt-observability.md?ask=<question>
```

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.