fix: 更新默认模型从DeepSeek-V3.2-Exp到DeepSeek-V3.2

统一所有配置文件和文档中的默认模型名称，移除实验版本标记

Author: xerrors

docs/latest/advanced/configuration.md

@@ -37,7 +37,7 @@ class Config(BaseModel):
     enable_content_guard: bool = Field(default=False, description="是否启用内容审查")
 
     # 模型配置
-    default_model: str = Field(default="siliconflow/deepseek-ai/DeepSeek-V3.2-Exp")
+    default_model: str = Field(default="siliconflow/deepseek-ai/DeepSeek-V3.2")
     embed_model: str = Field(default="siliconflow/BAAI/bge-m3")
 
     # 运行时状态 (不持久化)
@@ -105,10 +105,10 @@ DEFAULT_CHAT_MODEL_PROVIDERS: dict[str, ChatModelProvider] = {
         name="SiliconFlow",
         url="https://cloud.siliconflow.cn/models",
         base_url="https://api.siliconflow.cn/v1",
-        default="deepseek-ai/DeepSeek-V3.2-Exp",
+        default="deepseek-ai/DeepSeek-V3.2",
         env="SILICONFLOW_API_KEY",
         models=[
-            "deepseek-ai/DeepSeek-V3.2-Exp",
+            "deepseek-ai/DeepSeek-V3.2",
             "Qwen/Qwen3-235B-A22B-Instruct-2507",
             # ...
         ],
@@ -130,7 +130,7 @@ enable_content_guard = true
 # 模型配置修改
 [model_names.siliconflow]
 models = [
-    "deepseek-ai/DeepSeek-V3.2-Exp",
+    "deepseek-ai/DeepSeek-V3.2",
     "custom-model-name",
 ]
 ```

docs/latest/intro/model-config.md

@@ -26,7 +26,7 @@
 系统的默认对话模型通过配置项 `default_model` 指定，格式统一为 `模型提供商/模型名称`，例如：
 
 ```yaml
-default_model: siliconflow/deepseek-ai/DeepSeek-V3.2-Exp
+default_model: siliconflow/deepseek-ai/DeepSeek-V3.2
 ```
 
 在 Web 界面中选择模型时也会自动按照这一格式保存。

src/config/app.py

@@ -47,7 +47,7 @@ class Config(BaseModel):
     # 模型配置
     # ============================================================
     default_model: str = Field(
-        default="siliconflow/deepseek-ai/DeepSeek-V3.2-Exp",
+        default="siliconflow/deepseek-ai/DeepSeek-V3.2",
         description="默认对话模型",
     )
     fast_model: str = Field(

src/config/static/models.py

@@ -73,10 +73,10 @@ class RerankerInfo(BaseModel):
         name="SiliconFlow",
         url="https://cloud.siliconflow.cn/models",
         base_url="https://api.siliconflow.cn/v1",
-        default="deepseek-ai/DeepSeek-V3.2-Exp",
+        default="deepseek-ai/DeepSeek-V3.2",
         env="SILICONFLOW_API_KEY",
         models=[
-            "deepseek-ai/DeepSeek-V3.2-Exp",
+            "deepseek-ai/DeepSeek-V3.2",
             "Qwen/Qwen3-235B-A22B-Thinking-2507",
             "Qwen/Qwen3-235B-A22B-Instruct-2507",
             "moonshotai/Kimi-K2-Instruct-0905",
@@ -146,9 +146,9 @@ class RerankerInfo(BaseModel):
         name="ModelScope",
         url="https://www.modelscope.cn/docs/model-service/API-Inference/intro",
         base_url="https://api-inference.modelscope.cn/v1/",
-        default="deepseek-ai/DeepSeek-V3.2-Exp",
+        default="deepseek-ai/DeepSeek-V3.2",
         env="MODELSCOPE_ACCESS_TOKEN",
-        models=["Qwen/Qwen3-32B", "deepseek-ai/DeepSeek-V3.2-Exp"],
+        models=["Qwen/Qwen3-32B", "deepseek-ai/DeepSeek-V3.2"],
     ),
 }
 

src/knowledge/implementations/lightrag.py

@@ -201,7 +201,7 @@ def _get_embedding_func(self, embed_info: dict):
         """获取 embedding 函数"""
         config_dict = get_embedding_config(embed_info)
 
-        if config_dict["model_id"].startswith("ollama"):
+        if config_dict.get("model_id") and config_dict["model_id"].startswith("ollama"):
             from lightrag.llm.ollama import ollama_embed
 
             from src.utils import get_docker_safe_url