fix: use available qianfan vision model

README.md

@@ -609,7 +609,7 @@ API Key 创建：在 [控制台](https://aistudio.google.com/app/apikey?hl=zh-cn
 }
 ```
 
- - `model`: 默认推荐填写 `ernie-5.0`，也可填写 `ernie-4.5-turbo-128k`、`ernie-4.5-turbo-32k`、`ernie-x1-turbo-32k`；Vision 工具可使用 `ernie-4.5-turbo-vl-preview`
+ - `model`: 默认推荐填写 `ernie-5.0`，也可填写 `ernie-4.5-turbo-128k`、`ernie-4.5-turbo-32k`、`ernie-x1-turbo-32k`；Vision 工具可使用 `ernie-4.5-turbo-vl`
  - `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`
 

agent/tools/vision/vision.py

@@ -53,7 +53,7 @@ _DISCOVERABLE_MODELS = [
     ("ark_api_key", const.DOUBAO, const.DOUBAO_SEED_2_PRO, "Doubao"),
     ("dashscope_api_key", const.QWEN_DASHSCOPE, const.QWEN36_PLUS, "DashScope"),
     ("claude_api_key", const.CLAUDEAPI, const.CLAUDE_4_6_SONNET, "Claude"),
-    ("qianfan_api_key", const.QIANFAN, const.ERNIE_45_TURBO_VL_PREVIEW, "Qianfan"),
+    ("qianfan_api_key", const.QIANFAN, const.ERNIE_45_TURBO_VL, "Qianfan"),
     ("gemini_api_key", const.GEMINI, const.GEMINI_31_FLASH_LITE_PRE, "Gemini"),
     ("zhipu_ai_api_key", const.ZHIPU_AI, const.GLM_4_7, "ZhipuAI"),
     ("minimax_api_key", const.MiniMax, const.MINIMAX_M2_7, "MiniMax"),
@@ -142,7 +142,7 @@ class Vision(BaseTool):
                 "Error: No model available for Vision.\n"
                 "The main model does not support vision and no other API keys are configured.\n"
                 "Options:\n"
-                "  1. Switch to a multimodal model (e.g. ernie-4.5-turbo-vl-preview, qwen3.6-plus, claude-sonnet-4-6, gemini-2.0-flash)\n"
+                "  1. Switch to a multimodal model (e.g. ernie-4.5-turbo-vl, qwen3.6-plus, claude-sonnet-4-6, gemini-2.0-flash)\n"
                 "  2. Configure OPENAI_API_KEY: env_config(action=\"set\", key=\"OPENAI_API_KEY\", value=\"your-key\")\n"
                 "  3. Configure LINKAI_API_KEY: env_config(action=\"set\", key=\"LINKAI_API_KEY\", value=\"your-key\")"
             )

common/const.py

@@ -92,8 +92,8 @@ 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"
-ERNIE_45_TURBO_VL_PREVIEW = "ernie-4.5-turbo-vl-preview"
+ERNIE_45_TURBO_VL = "ernie-4.5-turbo-vl"
-ERNIE_45_VL_28B_A3B = "ernie-4.5-vl-28b-a3b"
+ERNIE_45_TURBO_VL_32K = "ernie-4.5-turbo-vl-32k"
 
 # Qwen (通义千问 - 阿里云 DashScope)
 QWEN_TURBO = "qwen-turbo"
@@ -171,7 +171,7 @@ MODEL_LIST = [
 
               # Baidu Qianfan / ERNIE
               QIANFAN, ERNIE_5, ERNIE_45_TURBO_128K, ERNIE_45_TURBO_32K, ERNIE_X1_TURBO_32K, ERNIE_4_TURBO_8K,
-              ERNIE_45_TURBO_VL_PREVIEW, ERNIE_45_VL_28B_A3B,
+              ERNIE_45_TURBO_VL, ERNIE_45_TURBO_VL_32K,
 
               # MiniMax
               MiniMax, MINIMAX_M2_7, MINIMAX_M2_7_HIGHSPEED, MINIMAX_M2_5, MINIMAX_M2_1, MINIMAX_M2_1_LIGHTNING, MINIMAX_M2, MINIMAX_ABAB6_5,

docs/en/models/qianfan.mdx

@@ -30,13 +30,13 @@ Option 1: Native integration (recommended):
 
 ## Vision tool
 
-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-preview`:
+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`:
 
 ```json
 {
   "tool": {
     "vision": {
-      "model": "ernie-4.5-turbo-vl-preview"
+      "model": "ernie-4.5-turbo-vl"
     }
   }
 }

docs/en/tools/vision.mdx

@@ -23,7 +23,7 @@ If the current provider fails, the tool automatically tries the next one until i
 | Vendor | Vision Model | Notes |
 | --- | --- | --- |
 | OpenAI / Compatible | Main model | All OpenAI-compatible multimodal models |
-| Baidu Qianfan | ernie-4.5-turbo-vl-preview | Auto-discovered when `qianfan_api_key` is configured; can also be selected via `tool.vision.model` |
+| Baidu Qianfan | ernie-4.5-turbo-vl | Auto-discovered when `qianfan_api_key` is configured; can also be selected via `tool.vision.model` |
 | Qwen (DashScope) | Main model | Via MultiModalConversation API |
 | Claude | Main model | Anthropic native image format |
 | Gemini | Main model | inlineData format |
@@ -53,7 +53,7 @@ To specify a particular model for the vision tool, add to `config.json`:
 {
     "tool": {
         "vision": {
-            "model": "ernie-4.5-turbo-vl-preview"
+            "model": "ernie-4.5-turbo-vl"
         }
     }
 }

docs/ja/models/qianfan.mdx

@@ -30,13 +30,13 @@ description: Baidu Qianfan ERNIE モデル設定
 
 ## Vision ツール
 
-`qianfan_api_key` を設定すると、Agent モードの Vision ツールは Qianfan を自動検出できます。推奨する Qianfan の視覚モデルは `ernie-4.5-turbo-vl-preview` です：
+`qianfan_api_key` を設定すると、Agent モードの Vision ツールは Qianfan を自動検出できます。推奨する Qianfan の視覚モデルは `ernie-4.5-turbo-vl` です：
 
 ```json
 {
   "tool": {
     "vision": {
-      "model": "ernie-4.5-turbo-vl-preview"
+      "model": "ernie-4.5-turbo-vl"
     }
   }
 }

docs/ja/tools/vision.mdx

@@ -23,7 +23,7 @@ Vision ツールは多段階の自動選択＋自動フォールバック戦略
 | ベンダー | ビジョンモデル | 説明 |
 | --- | --- | --- |
 | OpenAI / 互換プロトコル | メインモデル | すべての OpenAI 互換マルチモーダルモデルに対応 |
-| Baidu Qianfan | ernie-4.5-turbo-vl-preview | `qianfan_api_key` を設定すると自動検出され、`tool.vision.model` でも指定できます |
+| Baidu Qianfan | ernie-4.5-turbo-vl | `qianfan_api_key` を設定すると自動検出され、`tool.vision.model` でも指定できます |
 | 通義千問 (DashScope) | メインモデル | MultiModalConversation API 経由 |
 | Claude | メインモデル | Anthropic ネイティブ画像形式 |
 | Gemini | メインモデル | inlineData 形式 |
@@ -53,7 +53,7 @@ Vision ツールで使用するモデルを指定するには、`config.json`
 {
     "tool": {
         "vision": {
-            "model": "ernie-4.5-turbo-vl-preview"
+            "model": "ernie-4.5-turbo-vl"
         }
     }
 }

docs/models/qianfan.mdx

@@ -30,13 +30,13 @@ description: 百度千帆 ERNIE 模型配置
 
 ## Vision 工具
 
-配置 `qianfan_api_key` 后，Agent 的 Vision 工具可以自动使用千帆视觉模型。默认推荐使用 `ernie-4.5-turbo-vl-preview`：
+配置 `qianfan_api_key` 后，Agent 的 Vision 工具可以自动使用千帆视觉模型。默认推荐使用 `ernie-4.5-turbo-vl`：
 
 ```json
 {
   "tool": {
     "vision": {
-      "model": "ernie-4.5-turbo-vl-preview"
+      "model": "ernie-4.5-turbo-vl"
     }
   }
 }

docs/tools/vision.mdx

@@ -19,7 +19,7 @@ Vision 工具采用多级自动选择 + 自动兜底策略，无需手动配置
 | 厂商 | 视觉模型 | 说明 |
 | --- | --- | --- |
 | OpenAI / 兼容协议 | 使用主模型 | 支持所有 OpenAI 协议兼容的多模态模型 |
-| 百度千帆 (Qianfan) | ernie-4.5-turbo-vl-preview | 配置 `qianfan_api_key` 后自动发现，也可通过 `tool.vision.model` 指定 |
+| 百度千帆 (Qianfan) | ernie-4.5-turbo-vl | 配置 `qianfan_api_key` 后自动发现，也可通过 `tool.vision.model` 指定 |
 | 通义千问 (DashScope) | 使用主模型 | 例如 qwen3.6-plus 等 |
 | Claude | 使用主模型 | Anthropic 原生图像格式 |
 | Gemini | 使用主模型 | inlineData 格式 |
@@ -42,7 +42,7 @@ Vision 工具采用多级自动选择 + 自动兜底策略，无需手动配置
 {
     "tool": {
         "vision": {
-            "model": "ernie-4.5-turbo-vl-preview"
+            "model": "ernie-4.5-turbo-vl"
         }
     }
 }

models/qianfan/qianfan_bot.py

@@ -15,7 +15,7 @@ from .qianfan_session import QianfanSession
 
 DEFAULT_API_BASE = "https://qianfan.baidubce.com/v2"
 DEFAULT_MODEL = const.ERNIE_5
-DEFAULT_VISION_MODEL = const.ERNIE_45_TURBO_VL_PREVIEW
+DEFAULT_VISION_MODEL = const.ERNIE_45_TURBO_VL
 
 
 class QianfanBot(Bot, OpenAICompatibleBot):

tests/test_qianfan_provider.py

@@ -20,19 +20,19 @@ class TestQianfanConstantsAndRouting(unittest.TestCase):
         self.assertEqual(const.ERNIE_45_TURBO_32K, "ernie-4.5-turbo-32k")
         self.assertEqual(const.ERNIE_X1_TURBO_32K, "ernie-x1-turbo-32k")
         self.assertEqual(
-            const.ERNIE_45_TURBO_VL_PREVIEW,
+            const.ERNIE_45_TURBO_VL,
-            "ernie-4.5-turbo-vl-preview",
+            "ernie-4.5-turbo-vl",
         )
         self.assertEqual(
-            const.ERNIE_45_VL_28B_A3B,
+            const.ERNIE_45_TURBO_VL_32K,
-            "ernie-4.5-vl-28b-a3b",
+            "ernie-4.5-turbo-vl-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)
-        self.assertIn(const.ERNIE_45_TURBO_VL_PREVIEW, const.MODEL_LIST)
+        self.assertIn(const.ERNIE_45_TURBO_VL, const.MODEL_LIST)
-        self.assertIn(const.ERNIE_45_VL_28B_A3B, const.MODEL_LIST)
+        self.assertIn(const.ERNIE_45_TURBO_VL_32K, const.MODEL_LIST)
 
     def test_qianfan_config_keys_are_available(self):
         import config
@@ -239,7 +239,7 @@ class TestQianfanBot(unittest.TestCase):
         fake_response.status_code = 200
         fake_response.json.return_value = {
             "id": "chatcmpl-test",
-            "model": "ernie-4.5-turbo-vl-preview",
+            "model": "ernie-4.5-turbo-vl",
             "choices": [{"message": {"content": "图中有一个红色方块。"}}],
             "usage": {
                 "prompt_tokens": 10,
@@ -260,14 +260,14 @@ class TestQianfanBot(unittest.TestCase):
                     )
 
         self.assertEqual(result["content"], "图中有一个红色方块。")
-        self.assertEqual(result["model"], "ernie-4.5-turbo-vl-preview")
+        self.assertEqual(result["model"], "ernie-4.5-turbo-vl")
         self.assertEqual(result["usage"]["total_tokens"], 18)
         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-vl-preview")
+        self.assertEqual(kwargs["json"]["model"], "ernie-4.5-turbo-vl")
         self.assertEqual(kwargs["json"]["max_tokens"], 1000)
         self.assertEqual(kwargs["json"]["messages"], [
             {
@@ -287,7 +287,7 @@ class TestQianfanBot(unittest.TestCase):
         fake_response = MagicMock()
         fake_response.status_code = 200
         fake_response.json.return_value = {
-            "model": "ernie-4.5-vl-28b-a3b",
+            "model": "ernie-4.5-turbo-vl-32k",
             "choices": [{"message": {"content": "有文字。"}}],
             "usage": {},
         }
@@ -301,12 +301,12 @@ class TestQianfanBot(unittest.TestCase):
                     result = bot.call_vision(
                         image_url="data:image/jpeg;base64,BBBB",
                         question="识别文字",
-                        model="ernie-4.5-vl-28b-a3b",
+                        model="ernie-4.5-turbo-vl-32k",
                         max_tokens=256,
                     )
 
-        self.assertEqual(result["model"], "ernie-4.5-vl-28b-a3b")
+        self.assertEqual(result["model"], "ernie-4.5-turbo-vl-32k")
-        self.assertEqual(post.call_args.kwargs["json"]["model"], "ernie-4.5-vl-28b-a3b")
+        self.assertEqual(post.call_args.kwargs["json"]["model"], "ernie-4.5-turbo-vl-32k")
         self.assertEqual(post.call_args.kwargs["json"]["max_tokens"], 256)
 
     def test_call_vision_returns_error_dict_for_api_error(self):
@@ -392,14 +392,14 @@ class TestQianfanVisionTool(unittest.TestCase):
                 providers = tool._resolve_providers()
 
         self.assertEqual(providers[0].name, "Qianfan")
-        self.assertEqual(providers[0].model_override, const.ERNIE_45_TURBO_VL_PREVIEW)
+        self.assertEqual(providers[0].model_override, const.ERNIE_45_TURBO_VL)
         self.assertTrue(providers[0].use_bot)
         create_bot.assert_called_with(const.QIANFAN)
 
     def test_vision_routes_ernie_model_override_to_qianfan(self):
         fake_conf = self._fake_conf({
             "qianfan_api_key": "test-qianfan-key",
-            "tool": {"vision": {"model": "ernie-4.5-vl-28b-a3b"}},
+            "tool": {"vision": {"model": "ernie-4.5-turbo-vl-32k"}},
         })
         fake_bot = MagicMock()
         fake_bot.call_vision = MagicMock()
@@ -413,10 +413,10 @@ class TestQianfanVisionTool(unittest.TestCase):
                 providers = tool._resolve_providers()
 
         self.assertEqual(providers[0].name, "Qianfan")
-        self.assertEqual(providers[0].model_override, "ernie-4.5-vl-28b-a3b")
+        self.assertEqual(providers[0].model_override, "ernie-4.5-turbo-vl-32k")
 
     def test_vision_main_model_uses_qianfan_when_configured_model_is_ernie(self):
-        fake_conf = self._fake_conf({"model": "ernie-4.5-vl-28b-a3b"})
+        fake_conf = self._fake_conf({"model": "ernie-4.5-turbo-vl-32k"})
         from common import const
 
         fake_model = MagicMock()
@@ -433,7 +433,7 @@ class TestQianfanVisionTool(unittest.TestCase):
             providers = tool._resolve_providers()
 
         self.assertEqual(providers[0].name, "MainModel")
-        self.assertEqual(providers[0].model_override, "ernie-4.5-vl-28b-a3b")
+        self.assertEqual(providers[0].model_override, "ernie-4.5-turbo-vl-32k")
 
 
 class TestQianfanDocs(unittest.TestCase):
@@ -452,7 +452,7 @@ class TestQianfanDocs(unittest.TestCase):
             self.assertIn("qianfan_api_key", text)
             self.assertIn("https://qianfan.baidubce.com/v2", text)
             self.assertIn("ernie-4.5-turbo-128k", text)
-            self.assertIn("ernie-4.5-turbo-vl-preview", text)
+            self.assertIn("ernie-4.5-turbo-vl", text)
 
     def test_model_indexes_link_qianfan(self):
         for path in (
@@ -479,7 +479,7 @@ class TestQianfanDocs(unittest.TestCase):
         for path, label in expected.items():
             text = self._read(path)
             self.assertIn(label, text)
-            self.assertIn("ernie-4.5-turbo-vl-preview", text)
+            self.assertIn("ernie-4.5-turbo-vl", text)
 
 
 if __name__ == "__main__":