fix: AIModel.provider error - add ModelProvider import and use joined query

backend/python/app/api/admin/agents_admin.py

@@ -8,7 +8,7 @@ from sqlalchemy import or_, func
 from pydantic import BaseModel
 from typing import Optional, List
 from ...database import get_db
-from ...models import MarketApp, EvolutionSkill, AIModel, User
+from ...models import MarketApp, EvolutionSkill, AIModel, User, ModelProvider
 from ...auth import get_current_admin
 from ...middleware.log_service import LogService
 import uuid
@@ -223,9 +223,11 @@ async def get_agent(
         result["linked_skills"] = []
 
     # 获取可用模型列表
-    models = db.query(AIModel).filter(AIModel.is_enabled == True).all()
+    models = db.query(AIModel, ModelProvider).join(
+        ModelProvider, AIModel.provider_id == ModelProvider.id
+    ).filter(AIModel.is_enabled == True).all()
     result["available_models"] = [
-        {"id": m.id, "name": m.name, "provider": m.provider} for m in models
+        {"id": m.id, "name": m.name, "provider": p.name} for m, p in models
     ]
 
     return {"code": 0, "data": result}
@@ -533,7 +535,9 @@ async def get_available_models(
     db: Session = Depends(get_db),
 ):
     """获取可用于 Agent 的模型列表"""
-    models = db.query(AIModel).filter(
+    models = db.query(AIModel, ModelProvider).join(
+        ModelProvider, AIModel.provider_id == ModelProvider.id
+    ).filter(
         AIModel.is_enabled == True
     ).order_by(AIModel.name).all()
 
@@ -543,11 +547,11 @@ async def get_available_models(
             {
                 "id": m.id,
                 "name": m.name,
-                "provider": m.provider,
+                "provider": p.name,
-                "model_type": m.model_type,
+                "model_type": p.protocol,
-                "input_price": float(m.input_price) if m.input_price else 0,
+                "input_price": float(m.price_per_million_tokens) if m.price_per_million_tokens else 0,
-                "output_price": float(m.output_price) if m.output_price else 0,
+                "output_price": float(m.price_per_million_tokens) if m.price_per_million_tokens else 0,
             }
-            for m in models
+            for m, p in models
         ]
     }