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65 lines
2.0 KiB
Plaintext
65 lines
2.0 KiB
Plaintext
---
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title: Baidu Qianfan / ERNIE
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description: Baidu Qianfan ERNIE model configuration
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---
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Option 1: Native integration (recommended):
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```json
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{
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"model": "ernie-5.1",
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"qianfan_api_key": "",
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"qianfan_api_base": "https://qianfan.baidubce.com/v2"
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}
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```
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| Parameter | Description |
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| --- | --- |
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| `model` | Default recommendation: `ernie-5.1`; also supports `ernie-5.0`, `ernie-x1.1`, `ernie-4.5-turbo-128k`, `ernie-4.5-turbo-32k` |
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| `qianfan_api_key` | Qianfan API key, usually starting with `bce-v3/` |
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| `qianfan_api_base` | Optional, defaults to `https://qianfan.baidubce.com/v2` |
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## Model Selection
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| Model | Use Case |
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| --- | --- |
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| `ernie-5.1` | Default recommendation; latest ERNIE flagship with the strongest overall capability |
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| `ernie-5.0` | Previous-generation flagship with excellent overall capability |
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| `ernie-x1.1` | Deep-thinking reasoning model with lower hallucination and stronger instruction following / tool calling |
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| `ernie-4.5-turbo-128k` | Long-context and general chat |
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| `ernie-4.5-turbo-32k` | General chat with a balanced context window and cost |
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## Vision tool
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Once `qianfan_api_key` is configured, Agent mode can auto-discover Qianfan for the Vision tool:
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- 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.
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- 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`.
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To force a specific Vision model, set it explicitly in `config.json`:
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```json
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{
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"tool": {
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"vision": {
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"model": "ernie-4.5-turbo-vl"
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}
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}
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}
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```
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Option 2: OpenAI-compatible configuration:
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```json
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{
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"model": "ernie-5.1",
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"bot_type": "openai",
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"open_ai_api_key": "",
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"open_ai_api_base": "https://qianfan.baidubce.com/v2"
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}
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```
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<Tip>
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Prefer `qianfan_api_key` for new configurations. Existing `wenxin`, `wenxin-4`, `baidu_wenxin_api_key`, and `baidu_wenxin_secret_key` configurations remain supported.
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</Tip>
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