> For the complete documentation index, see [llms.txt](https://docs.tensorix.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.tensorix.ai/research-and-knowledge/anythingllm.md).

# AnythingLLM

Connect AnythingLLM to Tensorix and chat with your documents using any of our models.

***

## What is AnythingLLM?

[AnythingLLM](https://anythingllm.com/) is an all-in-one AI application that lets you chat with your documents, use AI agents, and manage multiple workspaces. It supports many LLM providers including OpenAI-compatible APIs like Tensorix.

{% hint style="success" %}
**Why AnythingLLM + Tensorix?**

* 📁 **Document chat** - Upload PDFs, docs, and more to chat with your content
* 🤖 **AI Agents** - Build custom agents that can browse the web and use tools
* 👥 **Multi-user** - Support for teams with permissions (Docker version)
* 🔌 **Embeddable** - Create chat widgets for your website
* 🖥️ **Desktop & Docker** - Run locally or self-host
  {% endhint %}

***

## Prerequisites

* AnythingLLM installed ([Desktop](https://anythingllm.com/download) or [Docker](https://github.com/Mintplex-Labs/anything-llm/blob/master/docker/HOW_TO_USE_DOCKER.md))
* A Tensorix API key ([sign up here](https://app.tensorix.ai))

***

## Configuration

AnythingLLM supports Tensorix through the **OpenAI (Generic)** provider.

### Step 1: Open LLM Settings

1. Launch AnythingLLM
2. Click the **Settings** gear icon
3. Navigate to **LLM** settings

### Step 2: Select OpenAI (Generic)

1. In the LLM provider dropdown, select **OpenAI (Generic)**
2. Configure the following settings:

| Field      | Value                            |
| ---------- | -------------------------------- |
| Base URL   | `https://api.tensorix.ai/v1`     |
| API Key    | Your Tensorix API key            |
| Model Name | `deepseek/deepseek-chat-v3.1`    |
| Max Tokens | `4096` (or your preferred limit) |

3. Click **Save Changes**

{% hint style="warning" %}
**Important**: The Base URL must include `/v1` at the end.
{% endhint %}

***

## Docker Deployment

Deploy AnythingLLM with Tensorix pre-configured:

```bash
docker run -d \
  --name anythingllm \
  -p 3001:3001 \
  -v anythingllm-data:/app/server/storage \
  -e LLM_PROVIDER=generic-openai \
  -e GENERIC_OPEN_AI_BASE_PATH=https://api.tensorix.ai/v1 \
  -e GENERIC_OPEN_AI_API_KEY=your-tensorix-api-key \
  -e GENERIC_OPEN_AI_MODEL_PREF=deepseek/deepseek-chat-v3.1 \
  mintplexlabs/anythingllm
```

Then open `http://localhost:3001` in your browser.

### Docker Compose

```yaml
version: '3.8'

services:
  anythingllm:
    image: mintplexlabs/anythingllm
    container_name: anythingllm
    ports:
      - "3001:3001"
    environment:
      - LLM_PROVIDER=generic-openai
      - GENERIC_OPEN_AI_BASE_PATH=https://api.tensorix.ai/v1
      - GENERIC_OPEN_AI_API_KEY=your-tensorix-api-key
      - GENERIC_OPEN_AI_MODEL_PREF=deepseek/deepseek-chat-v3.1
      - GENERIC_OPEN_AI_MAX_TOKENS=4096
    volumes:
      - anythingllm-data:/app/server/storage

volumes:
  anythingllm-data:
```

Deploy with:

```bash
docker compose up -d
```

***

## Recommended Models

| Use Case              | Model                               | Notes                            |
| --------------------- | ----------------------------------- | -------------------------------- |
| **General chat**      | `deepseek/deepseek-chat-v3.1`       | Fast, great for everyday use     |
| **Complex reasoning** | `deepseek/deepseek-r1-0528`         | Best for analysis and research   |
| **Coding assistance** | `z-ai/glm-5.1`                      | Excellent for code-related tasks |
| **Vision tasks**      | `moonshotai/kimi-k2.5`              | Image understanding              |
| **Long documents**    | `meta-llama/llama-4-maverick`       | Long document processing         |
| **Fast responses**    | `meta-llama/llama-3.3-70b-instruct` | Quick, cost-effective            |

***

## Workspace Configuration

You can set different models per workspace:

1. Open a workspace
2. Click the **Settings** icon for that workspace
3. Under **Chat Settings**, select **Workspace LLM**
4. Choose **OpenAI (Generic)** and configure with a different Tensorix model

This allows you to use different models for different use cases within the same AnythingLLM instance.

***

## Features with Tensorix

### 📁 Document Upload

Upload and chat with various document types:

* PDFs
* Word documents (.docx)
* Text files
* Web pages (via URL)
* And more

### 🤖 AI Agents

Create custom agents that can:

* Browse the web
* Execute code
* Use custom tools
* Access your documents

### 💬 Workspaces

Organize your documents into separate workspaces, each with its own:

* Document collection
* Chat history
* Model settings

### 🔌 Embed Widget

Create embeddable chat widgets for your website (Docker version only).

***

## Environment Variables

For Docker deployments, these environment variables configure Tensorix:

| Variable                     | Value                        | Description                    |
| ---------------------------- | ---------------------------- | ------------------------------ |
| `LLM_PROVIDER`               | `generic-openai`             | Use OpenAI-compatible provider |
| `GENERIC_OPEN_AI_BASE_PATH`  | `https://api.tensorix.ai/v1` | Tensorix API endpoint          |
| `GENERIC_OPEN_AI_API_KEY`    | Your API key                 | Tensorix API key               |
| `GENERIC_OPEN_AI_MODEL_PREF` | Model name                   | Default model to use           |
| `GENERIC_OPEN_AI_MAX_TOKENS` | `4096`                       | Max tokens per response        |

***

## Troubleshooting

### "Invalid API Key" Error

1. Verify your API key is correct
2. Check that the key has available credits
3. Test your key:

```bash
curl https://api.tensorix.ai/v1/models \
  -H "Authorization: Bearer YOUR_API_KEY"
```

### "Model Not Found" Error

1. Verify the model name is correct (e.g., `deepseek/deepseek-chat-v3.1`)
2. Check available models at [tensorix.ai/models](https://tensorix.ai/models)

### Connection Errors

1. Ensure Base URL is `https://api.tensorix.ai/v1` (with `/v1`)
2. Check your internet connection
3. Verify no firewall is blocking the connection

### Slow Responses

1. Try a faster model like `meta-llama/llama-3.3-70b-instruct`
2. Reduce the document size in your workspace
3. Lower the max tokens setting

### Check Logs (Docker)

```bash
docker logs anythingllm
```

***

## Resources

* [AnythingLLM Documentation](https://docs.anythingllm.com/)
* [AnythingLLM GitHub](https://github.com/Mintplex-Labs/anything-llm)
* [Tensorix Models & Pricing](https://tensorix.ai/models)

***

## See Also

* [Open WebUI](/chat-interfaces/openwebui.md) - Another self-hosted chat interface
* [LibreChat](/chat-interfaces/librechat.md) - Multi-provider chat interface
* [API Examples](/api-reference/api-examples.md) - Code examples for Tensorix API


---

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