> 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/de/private-ai.md).

# Private AI

- [Interaktive Chatsitzungen](https://docs.verge.io/automate-protect-and-extend/de/private-ai/chat-sessions.md): Leitfaden für die Durchführung interaktiver Chatsitzungen mit KI-Assistenten in der VergeOS-UI, einschließlich Dateianhängen, Token-Metriken und Verwaltung des Chatverlaufs.
- [KI-Konfiguration](https://docs.verge.io/automate-protect-and-extend/de/private-ai/configuration.md): Schritt-für-Schritt-Anleitung zur Konfiguration von KI-Modellen, Assistenten und Arbeitsbereichsdateien in VergeOS Private AI, einschließlich Ressourcenzuweisung, System-Prompts und Fehlerbehebung.
- [VergeOS OpenAI-kompatible API](https://docs.verge.io/automate-protect-and-extend/de/private-ai/open-ai-router.md): Dokumentation für den OpenAI-kompatiblen API-Endpunkt von VergeOS, der es Anwendungen ermöglicht, mit lokal gehosteten LLMs im standardmäßigen OpenAI-API-Format mit Python, JavaScript und cURL zu interagieren.
- [Überblick über Private AI](https://docs.verge.io/automate-protect-and-extend/de/private-ai/overview.md): Überblick über VergeOS Private AI, das die lokale Bereitstellung und Ausführung großer Sprachmodelle innerhalb Ihrer Infrastruktur ohne externe API-Aufrufe oder Datenübertragung ermöglicht.


---

# 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.verge.io/automate-protect-and-extend/de/private-ai.md?ask=<question>&goal=<user_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.
