update model card

backend/app/api/llm.py

@@ -6,6 +6,7 @@ from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
 from jose import jwt, JWTError
 from pydantic import BaseModel, Field
 from app.core.security import SECRET_KEY, ALGORITHM
+from litellm import completion
 
 router = APIRouter()
 security = HTTPBearer()
@@ -56,6 +57,13 @@ class LLMConfigUpdate(BaseModel):
     extra_headers: Optional[Dict[str, str]] = None
     is_active: Optional[bool] = None
 
+class TestConnectionRequest(BaseModel):
+    provider: str
+    model: str
+    api_key: Optional[str] = None
+    api_base: Optional[str] = None
+    extra_headers: Optional[Dict[str, str]] = None
+
 
 def get_current_user(credentials: HTTPAuthorizationCredentials = Depends(security)) -> CurrentUser:
     unauthorized = HTTPException(
@@ -152,3 +160,54 @@ def delete_llm_config(config_id: str, _: CurrentUser = Depends(get_admin_user)):
         raise HTTPException(status_code=404, detail="LLM configuration not found")
     _save_data(data)
     return {"message": "LLM configuration deleted successfully"}
+
+@router.post("/llm/test")
+def test_connection(request: TestConnectionRequest, _: CurrentUser = Depends(get_admin_user)):
+    try:
+        # Use litellm to test connection
+        # litellm handles many providers
+        kwargs = {
+            "model": request.model,
+            "messages": [{"role": "user", "content": "Hello"}],
+            "max_tokens": 5
+        }
+        
+        if request.api_key:
+            kwargs["api_key"] = request.api_key
+        
+        if request.api_base:
+            kwargs["api_base"] = request.api_base
+            
+        if request.extra_headers:
+            kwargs["extra_headers"] = request.extra_headers
+
+        # For OpenAI-compatible endpoints that are not standard OpenAI (like Local, vLLM etc)
+        # usually user sets provider to "openai" and api_base to their custom URL.
+        # litellm usually works well if we pass custom_llm_provider="openai" if provider is openai but custom url
+        
+        # If provider is "local" or "openai", we generally use "openai" format
+        if request.provider == "local":
+            kwargs["custom_llm_provider"] = "openai"
+        elif request.provider:
+            kwargs["custom_llm_provider"] = request.provider
+
+        # If user explicitly selected provider in UI, we might want to respect that
+        # But litellm completion main arg is 'model'. 
+        # If the UI 'model' input doesn't have prefix, we might need to add it or pass custom_llm_provider.
+        
+        # Simple heuristic: if provider is set, try to pass it if litellm supports it or just rely on env vars/args
+        # For this simple test, we just try to call it.
+        
+        try:
+            response = completion(**kwargs)
+        except Exception as first_error:
+            error_text = str(first_error)
+            if request.provider and "Provider NOT provided" in error_text and "/" not in request.model:
+                retry_kwargs = kwargs.copy()
+                retry_kwargs["model"] = f"{request.provider}/{request.model}"
+                response = completion(**retry_kwargs)
+            else:
+                raise first_error
+        return {"success": True, "message": "Connection successful", "details": str(response)}
+    except Exception as e:
+        raise HTTPException(status_code=400, detail=f"Connection failed: {str(e)}")

backend/data/llm_config.json

@@ -1,12 +1,16 @@
 [
   {
     "id": "m1773487590",
-    "provider": "zhipuai",
+    "provider": "openai",
     "model": "glm-4-7-251222",
-    "api_key": "secret",
+    "api_key": "4a54896c-dac5-4aa6-b618-558dfbd89e4a",
     "api_base": "https://ark.cn-beijing.volces.com/api/v3",
-    "extra_headers": null,
-    "is_active": true
+    "extra_headers": {},
+    "is_active": true,
+    "name": "glm-4-7-251222",
+    "model_type": "\u5927\u8bed\u8a00\u6a21\u578b",
+    "base_model": "glm-4-7-251222",
+    "protocol_type": "OpenAI"
   },
   {
     "id": "deny1",