Merge pull request #5155 from madrays/v2

app/api/endpoints/system.py

@@ -44,6 +44,7 @@ from app.utils.http import RequestUtils, AsyncRequestUtils
 from app.utils.security import SecurityUtils
 from app.utils.url import UrlUtils
 from version import APP_VERSION
+from app.helper.llm import LLMHelper
 
 router = APIRouter()
 
@@ -338,6 +339,18 @@ async def set_setting(
         return schemas.Response(success=False, message=f"配置项 '{key}' 不存在")
 
 
+@router.get("/llm-models", summary="获取LLM模型列表", response_model=schemas.Response)
+async def get_llm_models(provider: str, api_key: str, base_url: Optional[str] = None, _: User = Depends(get_current_active_user_async)):
+    """
+    获取LLM模型列表
+    """
+    try:
+        models = LLMHelper().get_models(provider, api_key, base_url)
+        return schemas.Response(success=True, data=models)
+    except Exception as e:
+        return schemas.Response(success=False, message=str(e))
+
+
 @router.get("/message", summary="实时消息")
 async def get_message(request: Request, role: Optional[str] = "system",
                       _: schemas.TokenPayload = Depends(verify_resource_token)):

app/helper/llm.py

@@ -0,0 +1,42 @@
+"""LLM模型相关辅助功能"""
+from typing import List
+
+from app.log import logger
+
+
+class LLMHelper:
+    """LLM模型相关辅助功能"""
+
+    def get_models(self, provider: str, api_key: str, base_url: str = None) -> List[str]:
+        """获取模型列表"""
+        logger.info(f"获取 {provider} 模型列表...")
+        if provider == "google":
+            return self._get_google_models(api_key)
+        else:
+            return self._get_openai_compatible_models(provider, api_key, base_url)
+
+    def _get_google_models(self, api_key: str) -> List[str]:
+        """获取Google模型列表"""
+        try:
+            import google.generativeai as genai
+            genai.configure(api_key=api_key)
+            models = genai.list_models()
+            return [m.name for m in models if 'generateContent' in m.supported_generation_methods]
+        except Exception as e:
+            logger.error(f"获取Google模型列表失败：{e}")
+            raise e
+
+    def _get_openai_compatible_models(self, provider: str, api_key: str, base_url: str = None) -> List[str]:
+        """获取OpenAI兼容模型列表"""
+        try:
+            from openai import OpenAI
+
+            if provider == "deepseek":
+                base_url = base_url or "https://api.deepseek.com"
+
+            client = OpenAI(api_key=api_key, base_url=base_url)
+            models = client.models.list()
+            return [model.id for model in models.data]
+        except Exception as e:
+            logger.error(f"获取 {provider} 模型列表失败：{e}")
+            raise e

package-lock.json

@@ -0,0 +1,6 @@
+{
+  "name": "MoviePilot",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {}
+}