feat(keys): clear allowed_models when auto_fetch_models is disabled

Add logic to automatically set allowed_models to null when auto_fetch_models  is turned off for a key. Also include auto_fetch_models and locked_models fields in config export/import, and trigger model fetching for keys with auto_fetch_models enabled during import.

src/api/admin/endpoints/keys.py

@@ -248,8 +248,9 @@ class AdminUpdateEndpointKeyAdapter(AdminApiAdapter):
         db.commit()
         db.refresh(key)
 
-        # 如果刚刚开启了 auto_fetch_models，立即触发一次模型获取
+        # 处理 auto_fetch_models 的开启和关闭
         if not auto_fetch_enabled_before and auto_fetch_enabled_after:
+            # 刚刚开启了 auto_fetch_models，立即触发一次模型获取
             logger.info("[AUTO_FETCH] Key %s 开启自动获取模型，立即触发模型获取", self.key_id)
             try:
                 from src.services.model.fetch_scheduler import get_model_fetch_scheduler
@@ -260,6 +261,12 @@ class AdminUpdateEndpointKeyAdapter(AdminApiAdapter):
             except Exception as e:
                 logger.error(f"触发模型获取失败: {e}")
                 # 不抛出异常，避免影响 Key 更新操作
+        elif auto_fetch_enabled_before and not auto_fetch_enabled_after:
+            # 关闭了 auto_fetch_models，将 allowed_models 设置为 null（不限制）
+            logger.info("[AUTO_FETCH] Key %s 关闭自动获取模型，清空 allowed_models", self.key_id)
+            key.allowed_models = None
+            db.commit()
+            db.refresh(key)
 
         # 任何字段更新都清除缓存，确保缓存一致性
         # 包括 is_active、allowed_models、capabilities 等影响权限和行为的字段

src/api/admin/system.py

@@ -764,6 +764,8 @@ class AdminExportConfigAdapter(AdminApiAdapter):
                         "capabilities": key.capabilities,
                         "cache_ttl_minutes": key.cache_ttl_minutes,
                         "max_probe_interval_minutes": key.max_probe_interval_minutes,
+                        "auto_fetch_models": key.auto_fetch_models,
+                        "locked_models": key.locked_models,
                         "is_active": key.is_active,
                     }
                 )
@@ -1123,6 +1125,8 @@ class AdminImportConfigAdapter(AdminApiAdapter):
                         capabilities=key_data.get("capabilities"),
                         cache_ttl_minutes=key_data.get("cache_ttl_minutes", 5),
                         max_probe_interval_minutes=key_data.get("max_probe_interval_minutes", 32),
+                        auto_fetch_models=key_data.get("auto_fetch_models", False),
+                        locked_models=key_data.get("locked_models"),
                         is_active=key_data.get("is_active", True),
                         health_by_format={},
                         circuit_breaker_by_format={},
@@ -1131,6 +1135,12 @@ class AdminImportConfigAdapter(AdminApiAdapter):
                     existing_key_values.add(plaintext_key)
                     stats["keys"]["created"] += 1
 
+                    # 如果开启了 auto_fetch_models，记录需要触发获取的 Key ID
+                    if key_data.get("auto_fetch_models", False):
+                        if "keys_to_fetch" not in stats:
+                            stats["keys_to_fetch"] = []
+                        stats["keys_to_fetch"].append(new_key.id)
+
                 # 导入 Models
                 for model_data in prov_data.get("models", []):
                     global_model_name = model_data.get("global_model_name")
@@ -1238,6 +1248,22 @@ class AdminImportConfigAdapter(AdminApiAdapter):
             cache_service = get_cache_invalidation_service()
             cache_service.clear_all_caches()
 
+            # 触发开启了 auto_fetch_models 的 Key 的模型获取
+            keys_to_fetch = stats.get("keys_to_fetch", [])
+            if keys_to_fetch:
+                logger.info(f"[AUTO_FETCH] 导入了 {len(keys_to_fetch)} 个开启自动获取模型的 Key，触发模型获取")
+                try:
+                    from src.services.model.fetch_scheduler import get_model_fetch_scheduler
+                    import asyncio
+                    scheduler = get_model_fetch_scheduler()
+                    for key_id in keys_to_fetch:
+                        asyncio.create_task(scheduler._fetch_models_for_key_by_id(key_id))
+                except Exception as e:
+                    logger.error(f"触发模型获取失败: {e}")
+                    # 不影响导入成功的返回
+                # 从统计信息中移除内部字段
+                stats.pop("keys_to_fetch", None)
+
             return {
                 "message": "配置导入成功",
                 "stats": stats,