Merge pull request #2790 from jimmyzhuu/feat/qianfan-provider

Add first-class Baidu Qianfan / ERNIE provider
2026-06-02 00:57:41 +08:00 · 2026-05-06 11:43:32 +08:00
parent a23b4ed754 bc7f953fcc
commit 530fc20596
21 changed files with 725 additions and 30 deletions
--- a/README.md
+++ b/README.md
@@ -115,7 +115,7 @@ irm https://cdn.link-ai.tech/code/cow/run.ps1 | iex

 项目支持国内外主流厂商的模型接口，可选模型及配置说明参考：[模型说明](#模型说明)。

-> 注：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、glm-5.1、kimi-k2.6、qwen3.5-plus、claude-sonnet-4-6、gemini-3.1-pro-preview、gpt-5.4、gpt-5.4-mini
+> 注：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、glm-5.1、kimi-k2.6、qwen3.5-plus、claude-sonnet-4-6、gemini-3.1-pro-preview、gpt-5.4、gpt-5.4-mini、ernie-4.5-turbo-128k

 同时支持使用 **LinkAI 平台** 接口，支持上述全部模型，并支持知识库、工作流、插件等 Agent 技能，参考 [接口文档](https://docs.link-ai.tech/platform/api)。

@@ -597,33 +597,37 @@ API Key 创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn
 </details>

 <details>
-<summary>百度文心</summary>
-方式一：官方 SDK 接入，配置如下：
+<summary>百度千帆 / ERNIE</summary>
+
+方式一：官方接入（推荐），配置如下：

 ```json
 {
-    "model": "wenxin-4", 
-    "baidu_wenxin_api_key": "IajztZ0bDxgnP9bEykU7lBer",
-    "baidu_wenxin_secret_key": "EDPZn6L24uAS9d8RWFfotK47dPvkjD6G"
+  "model": "ernie-4.5-turbo-128k",
+  "qianfan_api_key": "",
+  "qianfan_api_base": "https://qianfan.baidubce.com/v2"
 }
 ```
- - `model`: 可填 `wenxin`和`wenxin-4`，对应模型为 文心-3.5 和 文心-4.0
- - `baidu_wenxin_api_key`：参考 [千帆平台-access_token鉴权](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/dlv4pct3s) 文档获取 API Key
- - `baidu_wenxin_secret_key`：参考 [千帆平台-access_token鉴权](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/dlv4pct3s) 文档获取 Secret Key
+
+ - `model`: 推荐填写 `ernie-4.5-turbo-128k`，也可填写 `ernie-4.5-turbo-32k`、`ernie-x1-turbo-32k`
+ - `qianfan_api_key`: 百度千帆 API Key，通常以 `bce-v3/` 开头，可在百度智能云控制台创建
+ - `qianfan_api_base`: 可选，默认为 `https://qianfan.baidubce.com/v2`
+
+兼容说明：旧配置 `model: "wenxin"`、`model: "wenxin-4"`、`baidu_wenxin_api_key`、`baidu_wenxin_secret_key` 仍可继续使用。

 方式二：OpenAI 兼容方式接入，配置如下：
 ```json
 {
  "bot_type": "openai",
-  "model": "ERNIE-4.0-Turbo-8K",
+  "model": "ernie-4.5-turbo-128k",
  "open_ai_api_base": "https://qianfan.baidubce.com/v2",
-  "open_ai_api_key": "bce-v3/ALTxxxxxxd2b"
+  "open_ai_api_key": ""
 }
 ```
 - `bot_type`: OpenAI 兼容方式
- `model`: 支持官方所有模型，参考[模型列表](https://cloud.baidu.com/doc/WENXINWORKSHOP/s/Wm9cvy6rl)
- `open_ai_api_base`: 百度文心 API 的 BASE URL
- `open_ai_api_key`: 百度文心的 API-KEY，参考 [官方文档](https://cloud.baidu.com/doc/qianfan-api/s/ym9chdsy5) ，在 [控制台](https://console.bce.baidu.com/iam/#/iam/apikey/list) 创建 API Key
+- `model`: 支持千帆平台上的 ERNIE 模型
+- `open_ai_api_base`: 百度千帆 OpenAI 兼容 API 的 BASE URL
+- `open_ai_api_key`: 百度千帆 API Key

 </details>

--- a/bridge/agent_bridge.py
+++ b/bridge/agent_bridge.py
@@ -14,6 +14,7 @@ from bridge.reply import Reply, ReplyType
 from common import const
 from common.log import logger
 from common.utils import expand_path
+from config import conf
 from models.openai_compatible_bot import OpenAICompatibleBot


@@ -68,6 +69,7 @@ class AgentLLMModel(LLMModel):
    _MODEL_BOT_TYPE_MAP = {
        "wenxin": const.BAIDU, "wenxin-4": const.BAIDU,
        "xunfei": const.XUNFEI, const.QWEN: const.QWEN_DASHSCOPE,
+        const.QIANFAN: const.QIANFAN,
        const.MODELSCOPE: const.MODELSCOPE,
    }
    _MODEL_PREFIX_MAP = [
@@ -75,10 +77,10 @@ class AgentLLMModel(LLMModel):
        ("gemini", const.GEMINI), ("glm", const.ZHIPU_AI), ("claude", const.CLAUDEAPI),
        ("moonshot", const.MOONSHOT), ("kimi", const.MOONSHOT),
        ("doubao", const.DOUBAO), ("deepseek", const.DEEPSEEK),
+        ("ernie", const.QIANFAN),
    ]

    def __init__(self, bridge: Bridge, bot_type: str = "chat"):
-        from config import conf
        super().__init__(model=conf().get("model", const.GPT_41))
        self.bridge = bridge
        self.bot_type = bot_type
@@ -87,7 +89,6 @@ class AgentLLMModel(LLMModel):

    @property
    def model(self):
-        from config import conf
        return conf().get("model", const.GPT_41)

    @model.setter
@@ -96,8 +97,6 @@ class AgentLLMModel(LLMModel):

    def _resolve_bot_type(self, model_name: str) -> str:
        """Resolve bot type from model name, matching Bridge.__init__ logic."""
-        from config import conf
-
        if conf().get("use_linkai", False) and conf().get("linkai_api_key"):
            return const.LINKAI
        # Support custom bot type configuration
@@ -117,8 +116,9 @@ class AgentLLMModel(LLMModel):
            return const.MOONSHOT
        if conf().get("bot_type") == "modelscope":
            return const.MODELSCOPE
+        lowered_model = model_name.lower()
        for prefix, btype in self._MODEL_PREFIX_MAP:
-            if model_name.startswith(prefix):
+            if lowered_model.startswith(prefix):
                return btype
        return const.OPENAI

--- a/bridge/bridge.py
+++ b/bridge/bridge.py
@@ -61,6 +61,11 @@ class Bridge(object):
            if model_type and model_type.startswith("deepseek"):
                self.btype["chat"] = const.DEEPSEEK

+            if model_type and isinstance(model_type, str):
+                lowered_model_type = model_type.lower()
+                if lowered_model_type == const.QIANFAN or lowered_model_type.startswith("ernie"):
+                    self.btype["chat"] = const.QIANFAN
+
            if model_type in [const.MODELSCOPE]:
                self.btype["chat"] = const.MODELSCOPE
            
--- a/channel/web/web_channel.py
+++ b/channel/web/web_channel.py
@@ -772,6 +772,7 @@ class ConfigHandler:

    _RECOMMENDED_MODELS = [
        const.DEEPSEEK_V4_FLASH, const.DEEPSEEK_V4_PRO, const.DEEPSEEK_CHAT, const.DEEPSEEK_REASONER,
+        const.ERNIE_45_TURBO_128K, const.ERNIE_45_TURBO_32K, const.ERNIE_X1_TURBO_32K,
        const.MINIMAX_M2_7_HIGHSPEED, const.MINIMAX_M2_7, const.MINIMAX_M2_5, const.MINIMAX_M2_1, const.MINIMAX_M2_1_LIGHTNING,
        const.CLAUDE_4_6_SONNET, const.CLAUDE_4_7_OPUS, const.CLAUDE_4_6_OPUS, const.CLAUDE_4_5_SONNET,
        const.GEMINI_31_FLASH_LITE_PRE, const.GEMINI_31_PRO_PRE, const.GEMINI_3_FLASH_PRE,
@@ -788,6 +789,7 @@ class ConfigHandler:
    # never looks like a real default a user might paste verbatim — and we
    # never auto-rewrite anything on the server side.
    _PLACEHOLDER_V1 = "https://...../v1"
+    _PLACEHOLDER_QIANFAN = "https://...../v2"
    _PLACEHOLDER_ZHIPU = "https://...../api/paas/v4"
    _PLACEHOLDER_DOUBAO = "https://...../api/v3"
    _PLACEHOLDER_GEMINI = "https://....."
@@ -801,6 +803,14 @@ class ConfigHandler:
            "api_base_placeholder": _PLACEHOLDER_V1,
            "models": [const.DEEPSEEK_V4_FLASH, const.DEEPSEEK_V4_PRO, const.DEEPSEEK_CHAT, const.DEEPSEEK_REASONER],
        }),
+        ("qianfan", {
+            "label": "百度千帆",
+            "api_key_field": "qianfan_api_key",
+            "api_base_key": "qianfan_api_base",
+            "api_base_default": "https://qianfan.baidubce.com/v2",
+            "api_base_placeholder": _PLACEHOLDER_QIANFAN,
+            "models": [const.ERNIE_45_TURBO_128K, const.ERNIE_45_TURBO_32K, const.ERNIE_X1_TURBO_32K],
+        }),
        ("minimax", {
            "label": "MiniMax",
            "api_key_field": "minimax_api_key",
@@ -893,9 +903,9 @@ class ConfigHandler:

    EDITABLE_KEYS = {
        "model", "bot_type", "use_linkai",
-        "open_ai_api_base", "deepseek_api_base", "claude_api_base", "gemini_api_base",
+        "open_ai_api_base", "deepseek_api_base", "qianfan_api_base", "claude_api_base", "gemini_api_base",
        "zhipu_ai_api_base", "moonshot_base_url", "ark_base_url", "custom_api_base",
-        "open_ai_api_key", "deepseek_api_key", "claude_api_key", "gemini_api_key",
+        "open_ai_api_key", "deepseek_api_key", "qianfan_api_key", "claude_api_key", "gemini_api_key",
        "zhipu_ai_api_key", "dashscope_api_key", "moonshot_api_key",
        "ark_api_key", "minimax_api_key", "linkai_api_key", "custom_api_key",
        "agent_max_context_tokens", "agent_max_context_turns", "agent_max_steps",
--- a/common/const.py
+++ b/common/const.py
@@ -3,6 +3,7 @@ OPEN_AI = "openAI"
 OPENAI = "openai"
 CHATGPT = "chatGPT"  # legacy alias for OPENAI, kept for backward compatibility
 BAIDU = "baidu"
+QIANFAN = "qianfan"
 XUNFEI = "xunfei"
 CHATGPTONAZURE = "chatGPTOnAzure"
 LINKAI = "linkai"
@@ -85,6 +86,12 @@ DEEPSEEK_REASONER = "deepseek-reasoner"  # DeepSeek-R1模型
 DEEPSEEK_V4_FLASH = "deepseek-v4-flash"  # DeepSeek V4 Flash - 默认推荐 (思考模式 + 工具调用)
 DEEPSEEK_V4_PRO = "deepseek-v4-pro"  # DeepSeek V4 Pro - 复杂任务更强 (思考模式 + 工具调用)

+# Baidu Qianfan / ERNIE
+ERNIE_45_TURBO_128K = "ernie-4.5-turbo-128k"
+ERNIE_45_TURBO_32K = "ernie-4.5-turbo-32k"
+ERNIE_X1_TURBO_32K = "ernie-x1-turbo-32k"
+ERNIE_4_TURBO_8K = "ERNIE-4.0-Turbo-8K"
+
 # Qwen (通义千问 - 阿里云 DashScope)
 QWEN_TURBO = "qwen-turbo"
 QWEN_PLUS = "qwen-plus"
@@ -159,6 +166,9 @@ MODEL_LIST = [
              # DeepSeek
              DEEPSEEK_V4_FLASH, DEEPSEEK_V4_PRO, DEEPSEEK_CHAT, DEEPSEEK_REASONER,

+              # Baidu Qianfan / ERNIE
+              QIANFAN, ERNIE_45_TURBO_128K, ERNIE_45_TURBO_32K, ERNIE_X1_TURBO_32K, ERNIE_4_TURBO_8K,
+
              # MiniMax
              MiniMax, MINIMAX_M2_7, MINIMAX_M2_7_HIGHSPEED, MINIMAX_M2_5, MINIMAX_M2_1, MINIMAX_M2_1_LIGHTNING, MINIMAX_M2, MINIMAX_ABAB6_5,

--- a/config-template.json
+++ b/config-template.json
@@ -3,6 +3,8 @@
  "model": "deepseek-v4-flash",
  "deepseek_api_key": "",
  "deepseek_api_base": "https://api.deepseek.com/v1",
+  "qianfan_api_key": "",
+  "qianfan_api_base": "https://qianfan.baidubce.com/v2",
  "minimax_api_key": "",
  "zhipu_ai_api_key": "",
  "ark_api_key": "",
--- a/config.py
+++ b/config.py
@@ -76,6 +76,9 @@ available_setting = {
    "baidu_wenxin_api_key": "",  # Baidu api key
    "baidu_wenxin_secret_key": "",  # Baidu secret key
    "baidu_wenxin_prompt_enabled": False,  # Enable prompt if you are using ernie character model
+    # Baidu Qianfan / ERNIE OpenAI-compatible API
+    "qianfan_api_key": "",  # Baidu Qianfan API key in bce-v3 format
+    "qianfan_api_base": "https://qianfan.baidubce.com/v2",  # Qianfan OpenAI-compatible API base
    # 讯飞星火API
    "xunfei_app_id": "",  # 讯飞应用ID
    "xunfei_api_key": "",  # 讯飞 API key
@@ -390,6 +393,8 @@ def load_config():
        "minimax_api_base": "MINIMAX_API_BASE",
        "deepseek_api_key": "DEEPSEEK_API_KEY",
        "deepseek_api_base": "DEEPSEEK_API_BASE",
+        "qianfan_api_key": "QIANFAN_API_KEY",
+        "qianfan_api_base": "QIANFAN_API_BASE",
        "zhipu_ai_api_key": "ZHIPU_AI_API_KEY",
        "zhipu_ai_api_base": "ZHIPU_AI_API_BASE",
        "moonshot_api_key": "MOONSHOT_API_KEY",
--- a/docs/en/models/index.mdx
+++ b/docs/en/models/index.mdx
@@ -6,7 +6,7 @@ description: Supported models and recommended choices for CowAgent
 CowAgent supports mainstream LLMs from domestic and international providers. Model interfaces are implemented in the project's `models/` directory.

 <Note>
-  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
+  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
 </Note>

 ## Configuration
@@ -21,6 +21,9 @@ You can also use the [LinkAI](https://link-ai.tech) platform interface to flexib
  <Card title="DeepSeek" href="/en/models/deepseek">
    deepseek-v4-flash, deepseek-v4-pro, and more
  </Card>
+  <Card title="Baidu Qianfan / ERNIE" href="/en/models/qianfan">
+    ernie-4.5-turbo-128k, ernie-x1-turbo-32k, and more
+  </Card>
  <Card title="MiniMax" href="/en/models/minimax">
    MiniMax-M2.7 and other series models
  </Card>
--- a/docs/en/models/qianfan.mdx
+++ b/docs/en/models/qianfan.mdx
@@ -0,0 +1,43 @@
+---
+title: Baidu Qianfan / ERNIE
+description: Baidu Qianfan ERNIE model configuration
+---
+
+Option 1: Native integration (recommended):
+
+```json
+{
+  "model": "ernie-4.5-turbo-128k",
+  "qianfan_api_key": "",
+  "qianfan_api_base": "https://qianfan.baidubce.com/v2"
+}
+```
+
+| Parameter | Description |
+| --- | --- |
+| `model` | Recommended: `ernie-4.5-turbo-128k`; also supports `ernie-4.5-turbo-32k` and `ernie-x1-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-4.5-turbo-128k` | Default recommendation for long-context and general chat |
+| `ernie-4.5-turbo-32k` | General chat with a balanced context window and cost |
+| `ernie-x1-turbo-32k` | Tasks that need stronger reasoning |
+
+Option 2: OpenAI-compatible configuration:
+
+```json
+{
+  "model": "ernie-4.5-turbo-128k",
+  "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>
--- a/docs/ja/models/index.mdx
+++ b/docs/ja/models/index.mdx
@@ -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
 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。

 <Note>
-  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
+  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
 </Note>

 ## 設定
@@ -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
  <Card title="DeepSeek" href="/ja/models/deepseek">
    deepseek-v4-flash、deepseek-v4-pro など
  </Card>
+  <Card title="Baidu Qianfan / ERNIE" href="/ja/models/qianfan">
+    ernie-4.5-turbo-128k、ernie-x1-turbo-32k など
+  </Card>
  <Card title="MiniMax" href="/ja/models/minimax">
    MiniMax-M2.7およびその他のシリーズモデル
  </Card>
--- a/docs/ja/models/qianfan.mdx
+++ b/docs/ja/models/qianfan.mdx
@@ -0,0 +1,43 @@
+---
+title: Baidu Qianfan / ERNIE
+description: Baidu Qianfan ERNIE モデル設定
+---
+
+方法 1: 公式接続（推奨）:
+
+```json
+{
+  "model": "ernie-4.5-turbo-128k",
+  "qianfan_api_key": "",
+  "qianfan_api_base": "https://qianfan.baidubce.com/v2"
+}
+```
+
+| パラメータ | 説明 |
+| --- | --- |
+| `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 |
+| `qianfan_api_key` | Qianfan API Key。通常は `bce-v3/` で始まります |
+| `qianfan_api_base` | 任意。デフォルトは `https://qianfan.baidubce.com/v2` |
+
+## モデル選択
+
+| モデル | 用途 |
+| --- | --- |
+| `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 |
+| `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 |
+| `ernie-x1-turbo-32k` | より強い推論が必要なタスク向け |
+
+方法 2: OpenAI 互換接続:
+
+```json
+{
+  "model": "ernie-4.5-turbo-128k",
+  "bot_type": "openai",
+  "open_ai_api_key": "",
+  "open_ai_api_base": "https://qianfan.baidubce.com/v2"
+}
+```
+
+<Tip>
+  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。
+</Tip>
--- a/docs/models/index.mdx
+++ b/docs/models/index.mdx
@@ -6,7 +6,7 @@ description: CowAgent 支持的模型及推荐选择
 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。

 <Note>
-  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
+  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

  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。
 </Note>
@@ -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
  <Card title="DeepSeek" href="/models/deepseek">
    deepseek-v4-flash、deepseek-v4-pro 等
  </Card>
+  <Card title="百度千帆 / ERNIE" href="/models/qianfan">
+    ernie-4.5-turbo-128k、ernie-x1-turbo-32k 等
+  </Card>
  <Card title="MiniMax" href="/models/minimax">
    MiniMax-M2.7 等系列模型
  </Card>
--- a/docs/models/qianfan.mdx
+++ b/docs/models/qianfan.mdx
@@ -0,0 +1,43 @@
+---
+title: 百度千帆 / ERNIE
+description: 百度千帆 ERNIE 模型配置
+---
+
+方式一：官方接入（推荐）：
+
+```json
+{
+  "model": "ernie-4.5-turbo-128k",
+  "qianfan_api_key": "",
+  "qianfan_api_base": "https://qianfan.baidubce.com/v2"
+}
+```
+
+| 参数 | 说明 |
+| --- | --- |
+| `model` | 推荐使用 `ernie-4.5-turbo-128k`；也可使用 `ernie-4.5-turbo-32k`、`ernie-x1-turbo-32k` |
+| `qianfan_api_key` | 千帆 API Key，格式通常以 `bce-v3/` 开头 |
+| `qianfan_api_base` | 可选，默认为 `https://qianfan.baidubce.com/v2` |
+
+## 模型选择
+
+| 模型 | 适用场景 |
+| --- | --- |
+| `ernie-4.5-turbo-128k` | 默认推荐，适合长上下文和通用对话 |
+| `ernie-4.5-turbo-32k` | 通用对话，成本和上下文更均衡 |
+| `ernie-x1-turbo-32k` | 需要更强推理能力的任务 |
+
+方式二：OpenAI 兼容方式接入：
+
+```json
+{
+  "model": "ernie-4.5-turbo-128k",
+  "bot_type": "openai",
+  "open_ai_api_key": "",
+  "open_ai_api_base": "https://qianfan.baidubce.com/v2"
+}
+```
+
+<Tip>
+  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。
+</Tip>
--- a/models/bot_factory.py
+++ b/models/bot_factory.py
@@ -21,6 +21,10 @@ def create_bot(bot_type):
        from models.deepseek.deepseek_bot import DeepSeekBot
        return DeepSeekBot()

+    elif bot_type == const.QIANFAN:
+        from models.qianfan.qianfan_bot import QianfanBot
+        return QianfanBot()
+
    elif bot_type in (const.OPENAI, const.CHATGPT, const.CUSTOM):  # OpenAI-compatible API
        from models.chatgpt.chat_gpt_bot import ChatGPTBot
        return ChatGPTBot()
--- a/models/qianfan/init.py
+++ b/models/qianfan/init.py
@@ -0,0 +1 @@
+# encoding:utf-8
--- a/models/qianfan/qianfan_bot.py
+++ b/models/qianfan/qianfan_bot.py
@@ -0,0 +1,175 @@
+# encoding:utf-8
+
+import time
+
+import requests
+from bridge.context import ContextType
+from bridge.reply import Reply, ReplyType
+from common import const
+from common.log import logger
+from config import conf, load_config
+from models.bot import Bot
+from models.openai_compatible_bot import OpenAICompatibleBot
+from models.session_manager import SessionManager
+from .qianfan_session import QianfanSession
+
+DEFAULT_API_BASE = "https://qianfan.baidubce.com/v2"
+DEFAULT_MODEL = const.ERNIE_45_TURBO_128K
+
+
+class QianfanBot(Bot, OpenAICompatibleBot):
+    def __init__(self):
+        super().__init__()
+        model = self._resolve_model()
+        self.sessions = SessionManager(QianfanSession, model=model)
+        self.args = {
+            "model": model,
+            "temperature": conf().get("temperature", 0.7),
+            "top_p": conf().get("top_p", 1.0),
+            "frequency_penalty": conf().get("frequency_penalty", 0.0),
+            "presence_penalty": conf().get("presence_penalty", 0.0),
+        }
+
+    def _resolve_model(self):
+        model = conf().get("model") or DEFAULT_MODEL
+        if model == const.QIANFAN:
+            return DEFAULT_MODEL
+        return model
+
+    @property
+    def api_key(self):
+        return conf().get("qianfan_api_key")
+
+    @property
+    def api_base(self):
+        url = conf().get("qianfan_api_base") or DEFAULT_API_BASE
+        url = url.rstrip("/")
+        suffix = "/chat/completions"
+        if url.endswith(suffix):
+            url = url[:-len(suffix)]
+        return url.rstrip("/")
+
+    def get_api_config(self):
+        return {
+            "api_key": self.api_key,
+            "api_base": self.api_base,
+            "model": self._resolve_model(),
+            "default_temperature": conf().get("temperature", 0.7),
+            "default_top_p": conf().get("top_p", 1.0),
+            "default_frequency_penalty": conf().get("frequency_penalty", 0.0),
+            "default_presence_penalty": conf().get("presence_penalty", 0.0),
+        }
+
+    def _build_headers(self):
+        return {
+            "Content-Type": "application/json",
+            "Authorization": "Bearer {}".format(self.api_key),
+        }
+
+    def reply(self, query, context=None):
+        if context.type == ContextType.TEXT:
+            logger.info("[QIANFAN] query={}".format(query))
+
+            session_id = context["session_id"]
+            reply = None
+            clear_memory_commands = conf().get("clear_memory_commands", ["#清除记忆"])
+            if query in clear_memory_commands:
+                self.sessions.clear_session(session_id)
+                reply = Reply(ReplyType.INFO, "记忆已清除")
+            elif query == "#清除所有":
+                self.sessions.clear_all_session()
+                reply = Reply(ReplyType.INFO, "所有人记忆已清除")
+            elif query == "#更新配置":
+                load_config()
+                reply = Reply(ReplyType.INFO, "配置已更新")
+            if reply:
+                return reply
+
+            session = self.sessions.session_query(query, session_id)
+            logger.debug("[QIANFAN] session query={}".format(session.messages))
+
+            reply_content = self.reply_text(session, args=self.args.copy())
+            logger.debug(
+                "[QIANFAN] new_query={}, session_id={}, reply_cont={}, completion_tokens={}".format(
+                    session.messages,
+                    session_id,
+                    reply_content["content"],
+                    reply_content["completion_tokens"],
+                )
+            )
+            if reply_content["completion_tokens"] == 0 and len(reply_content["content"]) > 0:
+                reply = Reply(ReplyType.ERROR, reply_content["content"])
+            elif reply_content["completion_tokens"] > 0:
+                self.sessions.session_reply(
+                    reply_content["content"], session_id, reply_content["total_tokens"],
+                )
+                reply = Reply(ReplyType.TEXT, reply_content["content"])
+            else:
+                reply = Reply(ReplyType.ERROR, reply_content["content"])
+                logger.debug("[QIANFAN] reply {} used 0 tokens.".format(reply_content))
+            return reply
+        else:
+            reply = Reply(ReplyType.ERROR, "Bot不支持处理{}类型的消息".format(context.type))
+            return reply
+
+    def reply_text(self, session, args=None, retry_count=0):
+        try:
+            body = dict(args) if args else dict(self.args)
+            body["messages"] = session.messages
+            response = requests.post(
+                "{}/chat/completions".format(self.api_base),
+                headers=self._build_headers(),
+                json=body,
+                timeout=conf().get("request_timeout", 180),
+            )
+            if response.status_code == 200:
+                data = response.json()
+                return {
+                    "total_tokens": data["usage"]["total_tokens"],
+                    "completion_tokens": data["usage"]["completion_tokens"],
+                    "content": data["choices"][0]["message"]["content"],
+                }
+            return self._error_result(response, session, args, retry_count)
+        except Exception as e:
+            logger.exception(e)
+            if retry_count < 2:
+                return self.reply_text(session, args, retry_count + 1)
+            return {"completion_tokens": 0, "content": "我现在有点累了，等会再来吧"}
+
+    def _error_result(self, response, session, args=None, retry_count=0):
+        try:
+            body = response.json()
+        except ValueError:
+            body = {"raw": response.text}
+
+        error = body.get("error") if isinstance(body, dict) else None
+        if isinstance(error, dict):
+            message = error.get("message") or str(error)
+        elif error:
+            message = str(error)
+        elif isinstance(body, dict) and body.get("raw") is not None:
+            message = str(body.get("raw"))
+        else:
+            message = str(body)
+
+        logger.error(
+            "[QIANFAN] chat failed, status_code={}, msg={}".format(
+                response.status_code, message
+            )
+        )
+
+        if response.status_code >= 500 and retry_count < 2:
+            time.sleep(3)
+            return self.reply_text(session, args, retry_count + 1)
+
+        if response.status_code == 401:
+            content = "授权失败，请检查 Qianfan API Key 是否正确"
+        elif response.status_code == 429:
+            if retry_count < 2:
+                time.sleep(3)
+                return self.reply_text(session, args, retry_count + 1)
+            content = "请求过于频繁，请稍后再试"
+        else:
+            content = "请求失败：{}".format(message)
+
+        return {"completion_tokens": 0, "content": content}
--- a/models/qianfan/qianfan_session.py
+++ b/models/qianfan/qianfan_session.py
@@ -0,0 +1,57 @@
+from models.session_manager import Session
+from common.log import logger
+
+
+class QianfanSession(Session):
+    def __init__(self, session_id, system_prompt=None, model="ernie-4.5-turbo-128k"):
+        super().__init__(session_id, system_prompt)
+        self.model = model
+        self.reset()
+
+    def discard_exceeding(self, max_tokens, cur_tokens=None):
+        precise = True
+        try:
+            cur_tokens = self.calc_tokens()
+        except Exception as e:
+            precise = False
+            if cur_tokens is None:
+                raise e
+            logger.debug("Exception when counting tokens precisely for query: {}".format(e))
+        while cur_tokens > max_tokens:
+            if len(self.messages) > 2:
+                self.messages.pop(1)
+            elif len(self.messages) == 2 and self.messages[1]["role"] == "assistant":
+                self.messages.pop(1)
+                if precise:
+                    cur_tokens = self.calc_tokens()
+                else:
+                    cur_tokens = cur_tokens - max_tokens
+                break
+            elif len(self.messages) == 2 and self.messages[1]["role"] == "user":
+                logger.warn("user message exceed max_tokens. total_tokens={}".format(cur_tokens))
+                break
+            else:
+                logger.debug("max_tokens={}, total_tokens={}, len(messages)={}".format(
+                    max_tokens, cur_tokens, len(self.messages)))
+                break
+            if precise:
+                cur_tokens = self.calc_tokens()
+            else:
+                cur_tokens = cur_tokens - max_tokens
+        return cur_tokens
+
+    def calc_tokens(self):
+        return num_tokens_from_messages(self.messages, self.model)
+
+
+def num_tokens_from_messages(messages, model):
+    tokens = 0
+    for msg in messages:
+        content = msg.get("content", "")
+        if isinstance(content, str):
+            tokens += len(content)
+        elif isinstance(content, list):
+            for block in content:
+                if isinstance(block, dict):
+                    tokens += len(block.get("text", ""))
+    return tokens
--- a/plugins/cow_cli/cow_cli.py
+++ b/plugins/cow_cli/cow_cli.py
@@ -428,11 +428,12 @@ class CowCliPlugin(Plugin):

    @staticmethod
    def _resolve_bot_type_for_model(model_name: str) -> str:
-        """Resolve bot_type from model name, reusing AgentBridge mapping."""
+        """Resolve bot_type from model name, matching AgentBridge mapping."""
        from common import const
        _EXACT = {
            "wenxin": const.BAIDU, "wenxin-4": const.BAIDU,
            "xunfei": const.XUNFEI, const.QWEN: const.QWEN_DASHSCOPE,
+            const.QIANFAN: const.QIANFAN,
            const.MODELSCOPE: const.MODELSCOPE,
            const.MOONSHOT: const.MOONSHOT,
            "moonshot-v1-8k": const.MOONSHOT, "moonshot-v1-32k": const.MOONSHOT,
@@ -445,6 +446,7 @@ class CowCliPlugin(Plugin):
            ("claude", const.CLAUDEAPI),
            ("moonshot", const.MOONSHOT), ("kimi", const.MOONSHOT),
            ("doubao", const.DOUBAO), ("deepseek", const.DEEPSEEK),
+            ("ernie", const.QIANFAN),
        ]
        if not model_name:
            return const.OPENAI
@@ -454,8 +456,9 @@ class CowCliPlugin(Plugin):
            return const.MiniMax
        if model_name in [const.QWEN_TURBO, const.QWEN_PLUS, const.QWEN_MAX]:
            return const.QWEN_DASHSCOPE
+        lowered_model = model_name.lower()
        for prefix, btype in _PREFIX:
-            if model_name.startswith(prefix):
+            if lowered_model.startswith(prefix):
                return btype
        return const.OPENAI

--- a/plugins/godcmd/godcmd.py
+++ b/plugins/godcmd/godcmd.py
@@ -315,7 +315,7 @@ class Godcmd(Plugin):
                    except Exception as e:
                        ok, result = False, "你没有设置私有GPT模型"
                elif cmd == "reset":
-                    if bottype in [const.OPEN_AI, const.OPENAI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI, const.BAIDU, const.XUNFEI, const.QWEN, const.QWEN_DASHSCOPE, const.GEMINI, const.ZHIPU_AI, const.CLAUDEAPI]:
+                    if bottype in [const.OPEN_AI, const.OPENAI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI, const.BAIDU, const.QIANFAN, const.XUNFEI, const.QWEN, const.QWEN_DASHSCOPE, const.GEMINI, const.ZHIPU_AI, const.CLAUDEAPI]:
                        bot.sessions.clear_session(session_id)
                        if Bridge().chat_bots.get(bottype):
                            Bridge().chat_bots.get(bottype).sessions.clear_session(session_id)
@@ -341,7 +341,7 @@ class Godcmd(Plugin):
                            ok, result = True, "配置已重载"
                        elif cmd == "resetall":
                            if bottype in [const.OPEN_AI, const.OPENAI, const.CHATGPT, const.CHATGPTONAZURE, const.LINKAI,
-                                           const.BAIDU, const.XUNFEI, const.QWEN, const.QWEN_DASHSCOPE, const.GEMINI, const.ZHIPU_AI, const.MOONSHOT,
+                                           const.BAIDU, const.QIANFAN, const.XUNFEI, const.QWEN, const.QWEN_DASHSCOPE, const.GEMINI, const.ZHIPU_AI, const.MOONSHOT,
                                           const.MODELSCOPE]:
                                channel.cancel_all_session()
                                bot.sessions.clear_all_session()
--- a/plugins/role/role.py
+++ b/plugins/role/role.py
@@ -99,7 +99,7 @@ class Role(Plugin):
        if e_context["context"].type != ContextType.TEXT:
            return
        btype = Bridge().get_bot_type("chat")
-        if btype not in [const.OPEN_AI, const.OPENAI, const.CHATGPT, const.CHATGPTONAZURE, const.QWEN_DASHSCOPE, const.XUNFEI, const.BAIDU, const.ZHIPU_AI, const.MOONSHOT, const.MiniMax, const.LINKAI, const.MODELSCOPE]:
+        if btype not in [const.OPEN_AI, const.OPENAI, const.CHATGPT, const.CHATGPTONAZURE, const.QWEN_DASHSCOPE, const.XUNFEI, const.BAIDU, const.QIANFAN, const.ZHIPU_AI, const.MOONSHOT, const.MiniMax, const.LINKAI, const.MODELSCOPE]:
            logger.debug(f'不支持的bot: {btype}')
            return
        bot = Bridge().get_bot("chat")
--- a/tests/test_qianfan_provider.py
+++ b/tests/test_qianfan_provider.py
@@ -0,0 +1,281 @@
+# encoding:utf-8
+import os
+import sys
+import unittest
+from unittest.mock import MagicMock, patch
+
+sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
+
+
+class TestQianfanConstantsAndRouting(unittest.TestCase):
+    def test_qianfan_provider_constant_defined(self):
+        from common import const
+
+        self.assertEqual(const.QIANFAN, "qianfan")
+
+    def test_ernie_constants_are_in_model_list(self):
+        from common import const
+
+        self.assertEqual(const.ERNIE_45_TURBO_128K, "ernie-4.5-turbo-128k")
+        self.assertEqual(const.ERNIE_45_TURBO_32K, "ernie-4.5-turbo-32k")
+        self.assertEqual(const.ERNIE_X1_TURBO_32K, "ernie-x1-turbo-32k")
+        self.assertIn(const.QIANFAN, const.MODEL_LIST)
+        self.assertIn(const.ERNIE_45_TURBO_128K, const.MODEL_LIST)
+        self.assertIn(const.ERNIE_45_TURBO_32K, const.MODEL_LIST)
+        self.assertIn(const.ERNIE_X1_TURBO_32K, const.MODEL_LIST)
+
+    def test_qianfan_config_keys_are_available(self):
+        import config
+
+        self.assertIn("qianfan_api_key", config.available_setting)
+        self.assertIn("qianfan_api_base", config.available_setting)
+
+    def test_agent_bridge_routes_ernie_models_to_qianfan(self):
+        from bridge.agent_bridge import AgentLLMModel
+        from common import const
+
+        model = AgentLLMModel.__new__(AgentLLMModel)
+        fake_conf = MagicMock()
+        fake_conf.get.side_effect = lambda key, default=None: {
+            "use_linkai": False,
+            "linkai_api_key": "",
+            "bot_type": "",
+        }.get(key, default)
+
+        with patch("bridge.agent_bridge.conf", return_value=fake_conf):
+            self.assertEqual(
+                AgentLLMModel._resolve_bot_type(model, "ernie-4.5-turbo-128k"),
+                const.QIANFAN,
+            )
+            self.assertEqual(
+                AgentLLMModel._resolve_bot_type(model, "qianfan"),
+                const.QIANFAN,
+            )
+
+    def test_cow_cli_routes_ernie_models_to_qianfan(self):
+        from common import const
+        import plugins
+
+        old_plugin_path = plugins.instance.current_plugin_path
+        cow_cli_was_registered = "COW_CLI" in plugins.instance.plugins
+        old_cow_cli_plugin = plugins.instance.plugins.get("COW_CLI")
+        parent_had_cow_cli = hasattr(plugins, "cow_cli")
+        old_parent_cow_cli = getattr(plugins, "cow_cli", None)
+        module_names = ("plugins.cow_cli", "plugins.cow_cli.cow_cli")
+        old_modules = {
+            name: sys.modules[name]
+            for name in module_names
+            if name in sys.modules
+        }
+        plugins.instance.current_plugin_path = os.path.join(
+            os.path.dirname(__file__), "..", "plugins", "cow_cli"
+        )
+        try:
+            import plugins.cow_cli.cow_cli
+            cow_cli_plugin = plugins.instance.plugins["COW_CLI"]
+        finally:
+            plugins.instance.current_plugin_path = old_plugin_path
+            if cow_cli_was_registered:
+                plugins.instance.plugins["COW_CLI"] = old_cow_cli_plugin
+            else:
+                plugins.instance.plugins.pop("COW_CLI", None)
+            for name in module_names:
+                if name in old_modules:
+                    sys.modules[name] = old_modules[name]
+                else:
+                    sys.modules.pop(name, None)
+            if parent_had_cow_cli:
+                plugins.cow_cli = old_parent_cow_cli
+            elif hasattr(plugins, "cow_cli"):
+                delattr(plugins, "cow_cli")
+
+        self.assertEqual(
+            cow_cli_plugin._resolve_bot_type_for_model("ernie-4.5-turbo-128k"),
+            const.QIANFAN,
+        )
+        self.assertEqual(
+            cow_cli_plugin._resolve_bot_type_for_model("qianfan"),
+            const.QIANFAN,
+        )
+
+
+class TestQianfanBot(unittest.TestCase):
+    def _fake_conf(self, values=None):
+        data = {
+            "model": "ernie-4.5-turbo-128k",
+            "qianfan_api_key": "test-qianfan-key",
+            "qianfan_api_base": "https://qianfan.baidubce.com/v2",
+            "temperature": 0.7,
+            "top_p": 1.0,
+            "frequency_penalty": 0.0,
+            "presence_penalty": 0.0,
+            "request_timeout": 180,
+            "clear_memory_commands": ["#清除记忆"],
+            "conversation_max_tokens": 1000,
+            "expires_in_seconds": 3600,
+        }
+        if values:
+            data.update(values)
+        fake_conf = MagicMock()
+        fake_conf.get.side_effect = lambda key, default=None: data.get(key, default)
+        return fake_conf
+
+    def test_bot_factory_returns_qianfan_bot(self):
+        from common import const
+        from models.bot_factory import create_bot
+
+        fake_conf = self._fake_conf()
+        with patch("models.qianfan.qianfan_bot.conf", return_value=fake_conf):
+            with patch("models.qianfan.qianfan_bot.SessionManager"):
+                bot = create_bot(const.QIANFAN)
+
+        from models.qianfan.qianfan_bot import QianfanBot
+        self.assertIsInstance(bot, QianfanBot)
+
+    def test_default_model_uses_ernie_when_model_is_provider_alias(self):
+        fake_conf = self._fake_conf({"model": "qianfan"})
+        with patch("models.qianfan.qianfan_bot.conf", return_value=fake_conf):
+            with patch("models.qianfan.qianfan_bot.SessionManager"):
+                from models.qianfan.qianfan_bot import QianfanBot
+
+                bot = QianfanBot()
+
+        self.assertEqual(bot.args["model"], "ernie-4.5-turbo-128k")
+
+    def test_reply_text_posts_openai_compatible_payload(self):
+        fake_conf = self._fake_conf()
+        fake_response = MagicMock()
+        fake_response.status_code = 200
+        fake_response.json.return_value = {
+            "choices": [{"message": {"content": "你好，我是文心。"}}],
+            "usage": {"total_tokens": 12, "completion_tokens": 6},
+        }
+        session = MagicMock()
+        session.messages = [{"role": "user", "content": "你好"}]
+
+        with patch("models.qianfan.qianfan_bot.conf", return_value=fake_conf):
+            with patch("models.qianfan.qianfan_bot.SessionManager"):
+                from models.qianfan.qianfan_bot import QianfanBot
+
+                bot = QianfanBot()
+                with patch("models.qianfan.qianfan_bot.requests.post", return_value=fake_response) as post:
+                    result = bot.reply_text(session)
+
+        self.assertEqual(result["content"], "你好，我是文心。")
+        self.assertEqual(result["total_tokens"], 12)
+        self.assertEqual(result["completion_tokens"], 6)
+        post.assert_called_once()
+        url = post.call_args.args[0]
+        kwargs = post.call_args.kwargs
+        self.assertEqual(url, "https://qianfan.baidubce.com/v2/chat/completions")
+        self.assertEqual(kwargs["headers"]["Authorization"], "Bearer test-qianfan-key")
+        self.assertEqual(kwargs["json"]["model"], "ernie-4.5-turbo-128k")
+        self.assertEqual(kwargs["json"]["messages"], [{"role": "user", "content": "你好"}])
+
+    def test_reply_text_returns_auth_error_for_401(self):
+        fake_conf = self._fake_conf()
+        fake_response = MagicMock()
+        fake_response.status_code = 401
+        fake_response.json.return_value = {"error": {"message": "invalid api key"}}
+        fake_response.text = '{"error":{"message":"invalid api key"}}'
+        session = MagicMock()
+        session.messages = [{"role": "user", "content": "你好"}]
+
+        with patch("models.qianfan.qianfan_bot.conf", return_value=fake_conf):
+            with patch("models.qianfan.qianfan_bot.SessionManager"):
+                from models.qianfan.qianfan_bot import QianfanBot
+
+                bot = QianfanBot()
+                with patch("models.qianfan.qianfan_bot.requests.post", return_value=fake_response):
+                    result = bot.reply_text(session)
+
+        self.assertEqual(result["completion_tokens"], 0)
+        self.assertEqual(result["content"], "授权失败，请检查 Qianfan API Key 是否正确")
+
+    def test_reply_text_returns_raw_message_for_non_json_error(self):
+        fake_conf = self._fake_conf()
+        fake_response = MagicMock()
+        fake_response.status_code = 400
+        fake_response.json.side_effect = ValueError
+        fake_response.text = "bad gateway text"
+        session = MagicMock()
+        session.messages = [{"role": "user", "content": "你好"}]
+
+        with patch("models.qianfan.qianfan_bot.conf", return_value=fake_conf):
+            with patch("models.qianfan.qianfan_bot.SessionManager"):
+                from models.qianfan.qianfan_bot import QianfanBot
+
+                bot = QianfanBot()
+                with patch("models.qianfan.qianfan_bot.requests.post", return_value=fake_response) as post:
+                    result = bot.reply_text(session)
+
+        self.assertEqual(result["completion_tokens"], 0)
+        self.assertEqual(result["content"], "请求失败：bad gateway text")
+        post.assert_called_once()
+
+
+class TestQianfanSurfaces(unittest.TestCase):
+    def _read(self, relative_path):
+        root = os.path.join(os.path.dirname(__file__), "..")
+        with open(os.path.join(root, relative_path), encoding="utf-8") as f:
+            return f.read()
+
+    def test_web_console_registers_qianfan_provider(self):
+        source = self._read("channel/web/web_channel.py")
+
+        self.assertIn('("qianfan", {', source)
+        self.assertIn('"label": "百度千帆"', source)
+        self.assertIn('"api_key_field": "qianfan_api_key"', source)
+        self.assertIn('"api_base_key": "qianfan_api_base"', source)
+        self.assertIn('"api_base_default": "https://qianfan.baidubce.com/v2"', source)
+
+    def test_web_console_allows_qianfan_config_edits(self):
+        source = self._read("channel/web/web_channel.py")
+
+        self.assertIn('"qianfan_api_base"', source)
+        self.assertIn('"qianfan_api_key"', source)
+
+    def test_session_plugins_allow_qianfan(self):
+        role_source = self._read("plugins/role/role.py")
+        godcmd_source = self._read("plugins/godcmd/godcmd.py")
+
+        self.assertIn("const.QIANFAN", role_source)
+        self.assertIn("const.QIANFAN", godcmd_source)
+
+
+class TestQianfanDocs(unittest.TestCase):
+    def _read(self, relative_path):
+        root = os.path.join(os.path.dirname(__file__), "..")
+        with open(os.path.join(root, relative_path), encoding="utf-8") as f:
+            return f.read()
+
+    def test_qianfan_docs_exist_in_all_doc_locales(self):
+        for path in (
+            "docs/models/qianfan.mdx",
+            "docs/en/models/qianfan.mdx",
+            "docs/ja/models/qianfan.mdx",
+        ):
+            text = self._read(path)
+            self.assertIn("qianfan_api_key", text)
+            self.assertIn("https://qianfan.baidubce.com/v2", text)
+            self.assertIn("ernie-4.5-turbo-128k", text)
+
+    def test_model_indexes_link_qianfan(self):
+        for path in (
+            "docs/models/index.mdx",
+            "docs/en/models/index.mdx",
+            "docs/ja/models/index.mdx",
+        ):
+            text = self._read(path)
+            self.assertIn('/models/qianfan', text)
+
+    def test_readme_documents_native_qianfan_provider(self):
+        text = self._read("README.md")
+
+        self.assertIn('"model": "ernie-4.5-turbo-128k"', text)
+        self.assertIn('"qianfan_api_key": ""', text)
+        self.assertIn('"qianfan_api_base": "https://qianfan.baidubce.com/v2"', text)
+
+
+if __name__ == "__main__":
+    unittest.main()