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feat(models): add baidu ernie-5.1
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@@ -6,7 +6,7 @@ description: Supported models and recommended choices for CowAgent
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CowAgent supports mainstream LLMs from domestic and international providers. Model interfaces are implemented in the project's `models/` directory.
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<Note>
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For Agent mode, the following models are recommended based on quality and cost: deepseek-v4-flash, MiniMax-M2.7, claude-sonnet-4-6, gemini-3.1-pro-preview, glm-5.1, qwen3.6-plus, kimi-k2.6, ernie-5.0
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For Agent mode, the following models are recommended based on quality and cost: deepseek-v4-flash, MiniMax-M2.7, claude-sonnet-4-6, gemini-3.1-pro-preview, glm-5.1, qwen3.6-plus, kimi-k2.6, ernie-5.1
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</Note>
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## Configuration
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@@ -22,7 +22,7 @@ You can also use the [LinkAI](https://link-ai.tech) platform interface to flexib
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deepseek-v4-flash, deepseek-v4-pro, and more
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</Card>
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<Card title="Baidu Qianfan / ERNIE" href="/en/models/qianfan">
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ernie-5.0, ernie-4.5-turbo-128k, and more
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ernie-5.1, ernie-5.0, ernie-4.5-turbo-128k, and more
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</Card>
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<Card title="MiniMax" href="/en/models/minimax">
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MiniMax-M2.7 and other series models
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@@ -7,7 +7,7 @@ Option 1: Native integration (recommended):
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```json
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{
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"model": "ernie-5.0",
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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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@@ -15,7 +15,7 @@ Option 1: Native integration (recommended):
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| Parameter | Description |
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| --- | --- |
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| `model` | Default recommendation: `ernie-5.0`; also supports `ernie-x1.1`, `ernie-4.5-turbo-128k`, `ernie-4.5-turbo-32k` |
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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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@@ -23,7 +23,8 @@ Option 1: Native integration (recommended):
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| Model | Use Case |
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| --- | --- |
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| `ernie-5.0` | Default recommendation; latest ERNIE flagship with the strongest overall capability |
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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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@@ -32,7 +33,7 @@ Option 1: Native integration (recommended):
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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-5.0`, `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 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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@@ -51,7 +52,7 @@ Option 2: OpenAI-compatible configuration:
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```json
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{
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"model": "ernie-5.0",
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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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@@ -23,7 +23,7 @@ If the current provider fails, the tool automatically tries the next one until i
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| Vendor | Vision Model | Notes |
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| --- | --- | --- |
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| OpenAI / Compatible | Main model | All OpenAI-compatible multimodal models |
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| Baidu Qianfan | Main model | Multimodal main models (e.g. `ernie-5.0`) handle images directly; falls back to `ernie-4.5-turbo-vl` for text-only main models |
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| Baidu Qianfan | Main model | Multimodal main models (e.g. `ernie-5.1`) handle images directly; falls back to `ernie-4.5-turbo-vl` for text-only main models |
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| Qwen (DashScope) | Main model | Via MultiModalConversation API |
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| Claude | Main model | Anthropic native image format |
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| Gemini | Main model | inlineData format |
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