> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cowagent.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# ERNIE

> ERNIE model configuration (Baidu Qianfan)

Option 1: Native integration (recommended):

```json theme={null}
{
  "model": "ernie-5.1",
  "qianfan_api_key": "",
  "qianfan_api_base": "https://qianfan.baidubce.com/v2"
}
```

| Parameter | Description |
| - | - |
| `model` | Default recommendation: `ernie-5.1`; also supports `ernie-5.0`, `ernie-x1.1`, `ernie-4.5-turbo-128k`, `ernie-4.5-turbo-32k` |
| `qianfan_api_key` | Qianfan API key, usually starting with `bce-v3/` |
| `qianfan_api_base` | Optional, defaults to `https://qianfan.baidubce.com/v2` |

## Model Selection

| Model | Use Case |
| - | - |
| `ernie-5.1` | Default recommendation; latest ERNIE flagship with the strongest overall capability |
| `ernie-5.0` | Previous-generation flagship with excellent overall capability |
| `ernie-x1.1` | Deep-thinking reasoning model with lower hallucination and stronger instruction following / tool calling |
| `ernie-4.5-turbo-128k` | Long-context and general chat |
| `ernie-4.5-turbo-32k` | General chat with a balanced context window and cost |

## Vision tool

Once `qianfan_api_key` is configured, Agent mode can auto-discover Qianfan for the Vision tool:

* When the main model itself is multimodal (e.g. `ernie-5.1`, `ernie-5.0`, `ernie-x1.1`, `ernie-4.5-turbo-vl`), images are handled directly by the main model with no extra setup.
* When the main model is text-only (e.g. `ernie-4.5-turbo-128k`), the Vision tool automatically falls back to `ernie-4.5-turbo-vl`.

To force a specific Vision model, set it explicitly in `config.json`:

```json theme={null}
{
  "tools": {
    "vision": {
      "model": "ernie-4.5-turbo-vl"
    }
  }
}
```

Option 2: OpenAI-compatible configuration:

```json theme={null}
{
  "model": "ernie-5.1",
  "bot_type": "openai",
  "open_ai_api_key": "",
  "open_ai_api_base": "https://qianfan.baidubce.com/v2"
}
```

<Tip>
  Prefer `qianfan_api_key` for new configurations. Existing `wenxin`, `wenxin-4`, `baidu_wenxin_api_key`, and `baidu_wenxin_secret_key` configurations remain supported.
</Tip>


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