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Merge pull request #2790 from jimmyzhuu/feat/qianfan-provider
Add first-class Baidu Qianfan / ERNIE provider
This commit is contained in:
zhayujie
@@ -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
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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-4.5-turbo-128k
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</Note>
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## Configuration
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@@ -21,6 +21,9 @@ You can also use the [LinkAI](https://link-ai.tech) platform interface to flexib
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<Card title="DeepSeek" href="/en/models/deepseek">
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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-4.5-turbo-128k, ernie-x1-turbo-32k, 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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</Card>
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43
docs/en/models/qianfan.mdx
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docs/en/models/qianfan.mdx
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@@ -0,0 +1,43 @@
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---
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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-4.5-turbo-128k",
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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` | Recommended: `ernie-4.5-turbo-128k`; also supports `ernie-4.5-turbo-32k` and `ernie-x1-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-4.5-turbo-128k` | Default recommendation for 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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Option 2: OpenAI-compatible configuration:
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```json
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{
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"model": "ernie-4.5-turbo-128k",
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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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@@ -6,7 +6,7 @@ description: CowAgentがサポートするモデルとおすすめの選択肢
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CowAgentは国内外の主要なLLMをサポートしています。モデルインターフェースはプロジェクトの`models/`ディレクトリに実装されています。
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<Note>
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Agent モードでは、品質とコストのバランスから以下のモデルをおすすめします: deepseek-v4-flash、MiniMax-M2.7、claude-sonnet-4-6、gemini-3.1-pro-preview、glm-5.1、qwen3.6-plus、kimi-k2.6
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Agent モードでは、品質とコストのバランスから以下のモデルをおすすめします: 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-4.5-turbo-128k
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</Note>
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## 設定
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@@ -21,6 +21,9 @@ CowAgentは国内外の主要なLLMをサポートしています。モデルイ
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<Card title="DeepSeek" href="/ja/models/deepseek">
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deepseek-v4-flash、deepseek-v4-pro など
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</Card>
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<Card title="Baidu Qianfan / ERNIE" href="/ja/models/qianfan">
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ernie-4.5-turbo-128k、ernie-x1-turbo-32k など
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</Card>
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<Card title="MiniMax" href="/ja/models/minimax">
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MiniMax-M2.7およびその他のシリーズモデル
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</Card>
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43
docs/ja/models/qianfan.mdx
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docs/ja/models/qianfan.mdx
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@@ -0,0 +1,43 @@
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---
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title: Baidu Qianfan / ERNIE
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description: Baidu Qianfan ERNIE モデル設定
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---
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方法 1: 公式接続（推奨）:
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```json
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{
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"model": "ernie-4.5-turbo-128k",
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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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| パラメータ | 説明 |
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| --- | --- |
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| `model` | 推奨は `ernie-4.5-turbo-128k`。`ernie-4.5-turbo-32k` と `ernie-x1-turbo-32k` も利用できます |
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| `qianfan_api_key` | Qianfan API Key。通常は `bce-v3/` で始まります |
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| `qianfan_api_base` | 任意。デフォルトは `https://qianfan.baidubce.com/v2` |
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## モデル選択
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| モデル | 用途 |
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| --- | --- |
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| `ernie-4.5-turbo-128k` | 長いコンテキストと一般的なチャット向けの推奨モデル |
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| `ernie-4.5-turbo-32k` | コンテキスト長とコストのバランスが良い一般チャット向け |
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| `ernie-x1-turbo-32k` | より強い推論が必要なタスク向け |
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方法 2: OpenAI 互換接続:
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```json
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{
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"model": "ernie-4.5-turbo-128k",
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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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新しい設定では `qianfan_api_key` の利用を推奨します。既存の `wenxin`、`wenxin-4`、`baidu_wenxin_api_key`、`baidu_wenxin_secret_key` 設定は引き続き利用できます。
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</Tip>
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@@ -6,7 +6,7 @@ description: CowAgent 支持的模型及推荐选择
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CowAgent 支持国内外主流厂商的大语言模型，模型接口实现在项目的 `models/` 目录下。
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<Note>
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Agent 模式下推荐使用以下模型，可根据效果及成本综合选择：deepseek-v4-flash、MiniMax-M2.7、claude-sonnet-4-6、gemini-3.1-pro-preview、glm-5.1、qwen3.6-plus、kimi-k2.6
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Agent 模式下推荐使用以下模型，可根据效果及成本综合选择：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-4.5-turbo-128k
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同时支持使用 [LinkAI](https://link-ai.tech) 平台接口，可灵活切换多种模型，并支持知识库、工作流、插件等 Agent 能力。
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</Note>
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@@ -26,6 +26,9 @@ CowAgent 支持国内外主流厂商的大语言模型，模型接口实现在
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<Card title="DeepSeek" href="/models/deepseek">
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deepseek-v4-flash、deepseek-v4-pro 等
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</Card>
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<Card title="百度千帆 / ERNIE" href="/models/qianfan">
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ernie-4.5-turbo-128k、ernie-x1-turbo-32k 等
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</Card>
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<Card title="MiniMax" href="/models/minimax">
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MiniMax-M2.7 等系列模型
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</Card>
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43
docs/models/qianfan.mdx
Normal file
43
docs/models/qianfan.mdx
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@@ -0,0 +1,43 @@
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---
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title: 百度千帆 / ERNIE
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description: 百度千帆 ERNIE 模型配置
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---
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方式一：官方接入（推荐）：
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```json
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{
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"model": "ernie-4.5-turbo-128k",
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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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| 参数 | 说明 |
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| --- | --- |
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| `model` | 推荐使用 `ernie-4.5-turbo-128k`；也可使用 `ernie-4.5-turbo-32k`、`ernie-x1-turbo-32k` |
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| `qianfan_api_key` | 千帆 API Key，格式通常以 `bce-v3/` 开头 |
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| `qianfan_api_base` | 可选，默认为 `https://qianfan.baidubce.com/v2` |
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## 模型选择
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| 模型 | 适用场景 |
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| --- | --- |
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| `ernie-4.5-turbo-128k` | 默认推荐，适合长上下文和通用对话 |
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| `ernie-4.5-turbo-32k` | 通用对话，成本和上下文更均衡 |
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| `ernie-x1-turbo-32k` | 需要更强推理能力的任务 |
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方式二：OpenAI 兼容方式接入：
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```json
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{
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"model": "ernie-4.5-turbo-128k",
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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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新配置推荐使用 `qianfan_api_key`。旧的 `wenxin`、`wenxin-4`、`baidu_wenxin_api_key`、`baidu_wenxin_secret_key` 配置仍保持兼容。
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</Tip>
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