> For the complete documentation index, see [llms.txt](https://docs.glbnxt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.glbnxt.com/tutorials/guides/librechat.md).

# LibreChat

LibreChat is an open-source, multi-provider AI chat platform designed to unify access to multiple large language models under a single enterprise interface. Unlike standard chat interfaces, LibreChat allows teams to switch models mid-conversation, run document RAG (Retrieval-Augmented Generation), share custom presets, and maintain centralized control over system prompts and access permissions.

In this section, you'll learn how to connect LibreChat to your GLBNXT environment to manage multi-model access across your team. This guide covers connecting API developer keys and configuring provider endpoints to start chatting with hosted models.


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# Agent Instructions
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## 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.glbnxt.com/tutorials/guides/librechat.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.
