> For the complete documentation index, see [llms.txt](https://docs.lilypad.tech/lilypad/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.lilypad.tech/lilypad/tooling-plugins-and-integrations/ai-tooling/anything-llm.md).

# Anything LLM

Tutorial: Using Lilypad x AnythingLLM for Desktop LLM Client

{% embed url="<https://www.youtube.com/watch?v=QzRMfm3Tvwk>" %}

## **Getting Started**

### **Prerequisites:**

* A basic understanding of the Lilypad API and Anything LLM
* Access to an Anura Dashboard account

### **Set up Open AI Endpoint in Rivet**

1. Download and Install AnythingLLM  from <https://anythingllm.com/>
2. Start AnythingLLM  App.
3. Navigate to the Settings page by clicking wrench icon at bottom left
4. Click on LLM under AI Providers
5. Select Generic OpenAI under LLM Provider
6. In the BaseURL input field, paste the URL:\
   &#x20; [https://anura-testnet.lilypad.tech/api/v1](https://anura-testnet.lilypad.tech/api/v1/chat/completions)

### **Obtain an Anura API Key**

1. Log in to your Anura account at <https://anura.lilypad.tech/>
2. Click Get Started
3. Create a new API key by clicking the “Create API Key” button.
4. Copy the generated API key and paste it into the APIIey input field on the LLM Screen.

### Specify Chat Model Name

1. Paste in "llama3.1:8b"

<figure><img src="https://58337262-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FtadiyoOe4nTUoSulEVOV%2Fuploads%2FOP32hVac3SM7v9MKxhqo%2Fimage.png?alt=media&amp;token=4399379d-dd62-481c-a154-d409982f7255" alt=""><figcaption></figcaption></figure>


---

# 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.lilypad.tech/lilypad/tooling-plugins-and-integrations/ai-tooling/anything-llm.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.
