> For the complete documentation index, see [llms.txt](https://docs.verge.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.verge.io/automate-protect-and-extend/private-ai.md).

# Private AI

- [Interactive Chat Sessions](https://docs.verge.io/automate-protect-and-extend/private-ai/chat-sessions.md): Guide for conducting interactive chat sessions with AI assistants in the VergeOS UI, including file attachments, token metrics, and chat history management.
- [AI Configuration](https://docs.verge.io/automate-protect-and-extend/private-ai/configuration.md): Step-by-step guide for configuring AI models, assistants, and workspace files in VergeOS Private AI, including resource allocation, system prompts, and troubleshooting.
- [VergeOS OpenAI-Compatible API](https://docs.verge.io/automate-protect-and-extend/private-ai/open-ai-router.md): Documentation for the VergeOS OpenAI-compatible API endpoint, enabling applications to interact with locally-hosted LLMs using standard OpenAI API format with Python, JavaScript, and cURL.
- [Private AI Overview](https://docs.verge.io/automate-protect-and-extend/private-ai/overview.md): Overview of VergeOS Private AI, which enables deploying and running large language models locally within your infrastructure with no external API calls or data transmission.


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# 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.verge.io/automate-protect-and-extend/private-ai.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.