> For the complete documentation index, see [llms.txt](https://docs.tabnine.com/main/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tabnine.com/main/getting-started/tabnine-agent/admin-console.md).
# Agent Usage Analytics
In the Admin Console, navigate to **Analytics** on the lefthand side menu. Select **Agent Usage**.
The Agent Usage page will display the following information: monthly spending trends, usage by model, and usage by team.\
\
Under **Month trend,** you will see a tracker for how much budget has been spent and how much is remaining.
Below that you will see **Usage by Model.** This chart will track usage of all available models, focusing on total tokens. input tokens, output tokens, cache read, cache write, and finally the amount of money spent per model (in USD).
This example shows the breakdown of all those numbers:
Finally, **Usage by Team** will breakdown not just the amount of money spent by each team, but the percentage of use spread across the organization:
---
# 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 by asking a question.
Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:
```
GET https://docs.tabnine.com/main/getting-started/tabnine-agent/admin-console.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.
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.
**Analytics** on the lefthand side menu. Select **Agent Usage**.
The Agent Usage page will display the following information: monthly spending trends, usage by model, and usage by team.\
\
Under **Month trend,** you will see a tracker for how much budget has been spent and how much is remaining.
