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feat(qianfan): scope vision support to multimodal models
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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-4.5-turbo-128k`, `ernie-4.5-turbo-32k`, `ernie-x1-turbo-32k` |
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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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| `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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@@ -24,13 +24,18 @@ 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-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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| `ernie-x1-turbo-32k` | Tasks that need stronger reasoning |
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## Vision tool
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After `qianfan_api_key` is configured, Agent mode can auto-discover Qianfan for the Vision tool. The recommended Qianfan vision model is `ernie-4.5-turbo-vl`:
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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 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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@@ -30,7 +30,7 @@ The voice and streaming building blocks come from a community contribution #2791
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- **DeepSeek V4 series**: Added `deepseek-v4-pro` / `deepseek-v4-flash`, with `deepseek-v4-flash` set as the new default
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- **Unified thinking-mode toggle**: DeepSeek V4, Qwen3 and other thinking-capable models now share the same `enable_thinking` switch
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- **Baidu Qianfan / ERNIE first-class integration**: New `qianfan` provider supporting `ernie-5.0` (default recommendation), `ernie-4.5-turbo-128k`, `ernie-4.5-turbo-32k`, `ernie-x1-turbo-32k`. Dedicated `qianfan_api_key` / `qianfan_api_base` settings keep OpenAI config clean; legacy `wenxin` / `wenxin-4` paths are fully preserved. #2790 Thanks [@jimmyzhuu](https://github.com/jimmyzhuu)
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- **Baidu Qianfan / ERNIE first-class integration**: New `qianfan` provider supporting `ernie-5.0` (default recommendation), `ernie-x1.1`, `ernie-4.5-turbo-128k`, `ernie-4.5-turbo-32k`. Dedicated `qianfan_api_key` / `qianfan_api_base` settings keep OpenAI config clean; legacy `wenxin` / `wenxin-4` paths are fully preserved. #2790 Thanks [@jimmyzhuu](https://github.com/jimmyzhuu)
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Documentation: [Baidu Qianfan / ERNIE](https://docs.cowagent.ai/en/models/qianfan)
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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 | ernie-4.5-turbo-vl | Auto-discovered when `qianfan_api_key` is configured; can also be selected via `tool.vision.model` |
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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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| 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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