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

# LobeChat

[LobeChat](https://lobehub.com/) is an open-source, modern-design ChatGPT/LLM UI. Connect it to TensorX using the OpenAI-compatible configuration.

## Prerequisites

* LobeChat installed (self-hosted or local)
* TensorX API key from [app.tensorx.ai](https://app.tensorx.ai)

## Configuration Options

### Option 1: Environment Variables (Recommended for Self-Hosted)

Set these environment variables when deploying LobeChat:

```bash
# Required
OPENAI_API_KEY=your-tensorx-api-key
OPENAI_PROXY_URL=https://api.tensorx.ai/v1

# Optional: Customize available models
OPENAI_MODEL_LIST=-all,+z-ai/glm-5.3,+z-ai/glm-5.3-flash,+qwen/qwen3.8-flash-next
```

### Option 2: UI Configuration

1. Open LobeChat Settings (gear icon)
2. Navigate to **AI Service Provider** > **OpenAI**
3. Configure:
   * **API Key**: Your TensorX API key
   * **API Proxy URL**: `https://api.tensorx.ai/v1`
4. Save settings

## Docker Deployment

Deploy LobeChat with TensorX configuration:

```yaml
# docker-compose.yml
version: '3.8'
services:
  lobe-chat:
    image: lobehub/lobe-chat
    ports:
      - "3210:3210"
    environment:
      - OPENAI_API_KEY=your-tensorx-api-key
      - OPENAI_PROXY_URL=https://api.tensorx.ai/v1
      - OPENAI_MODEL_LIST=-all,+z-ai/glm-5.3,+z-ai/glm-5.2,+z-ai/glm-5.3-flash,+qwen/qwen3.8-flash-next
```

Run with:

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

## Vercel Deployment

When deploying to Vercel, set these environment variables in your project settings:

| Variable            | Value                                                             |
| ------------------- | ----------------------------------------------------------------- |
| `OPENAI_API_KEY`    | Your TensorX API key                                              |
| `OPENAI_PROXY_URL`  | `https://api.tensorx.ai/v1`                                       |
| `OPENAI_MODEL_LIST` | `-all,+z-ai/glm-5.3,+z-ai/glm-5.3-flash,+qwen/qwen3.8-flash-next` |

## Model List Configuration

The `OPENAI_MODEL_LIST` environment variable controls available models:

* Use `+model-name` to add a model
* Use `-model-name` to hide a model
* Use `-all` to disable all default models first
* Use `model_name=Display Name` to customize display names

Example configurations:

```bash
# Only TensorX models
OPENAI_MODEL_LIST=-all,+z-ai/glm-5.3,+z-ai/glm-5.2,+z-ai/glm-5.3-flash,+qwen/qwen3.8-flash-next

# With custom display names
OPENAI_MODEL_LIST=-all,+z-ai/glm-5.3=GLM 5.3,+z-ai/glm-5.3-flash=z-ai/glm-5.3-flash
```

## Model selection

Call `GET /v1/models` with your TensorX API key and use one of the returned IDs. If the integration depends on a capability or token limit, query `GET /v1/model/info` before selecting the model. See [Models](/api-reference/models.md) for examples.

***

## Troubleshooting

### Empty responses

Check that `OPENAI_PROXY_URL` includes `/v1` at the end.

### Models not appearing

Verify `OPENAI_MODEL_LIST` syntax:

* Each model should be prefixed with `+`
* Use commas without spaces to separate models

### Authentication errors

Ensure your TensorX API key is valid and has available credits.

## Resources

* [LobeChat Documentation](https://lobehub.com/docs)
* [LobeChat GitHub](https://github.com/lobehub/lobe-chat)
* [TensorX API Reference](/api-reference/overview.md)


---

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