feat: model sync between api and manager layer

pkg/api/http/service/model.py

@@ -35,7 +35,7 @@ class ModelsService:
                 **model_data
             )
         )
-        # TODO: add to runtime
+        await self.ap.model_mgr.load_model(model_data)
 
     async def get_llm_model(self, model_uuid: str) -> dict | None:
         result = await self.ap.persistence_mgr.execute_async(
@@ -54,8 +54,12 @@ class ModelsService:
             sqlalchemy.update(persistence_model.LLMModel).where(persistence_model.LLMModel.uuid == model_uuid).values(**model_data)
         )
 
+        await self.ap.model_mgr.remove_model(model_uuid)
+        await self.ap.model_mgr.load_model(model_data)
+
     async def delete_llm_model(self, model_uuid: str) -> None:
         await self.ap.persistence_mgr.execute_async(
             sqlalchemy.delete(persistence_model.LLMModel).where(persistence_model.LLMModel.uuid == model_uuid)
         )
-        # TODO: delete from runtime
+
+        await self.ap.model_mgr.remove_model(model_uuid)

pkg/provider/modelmgr/modelmgr.py

@@ -47,14 +47,17 @@ class ModelManager:
     llm_models: list[RuntimeLLMModel]
 
     requester_components: list[engine.Component]
+
+    requester_dict: dict[str, type[requester.LLMAPIRequester]]  # cache
     
     def __init__(self, ap: app.Application):
         self.ap = ap
-        self.requester_components = []
         self.model_list = []
         self.requesters = {}
         self.token_mgrs = {}
         self.llm_models = []
+        self.requester_components = []
+        self.requester_dict = {}
 
     async def get_model_by_name(self, name: str) -> entities.LLMModelInfo:
         """通过名称获取模型
@@ -65,92 +68,21 @@ class ModelManager:
         raise ValueError(f"无法确定模型 {name} 的信息，请在元数据中配置")
     
     async def initialize(self):
-
         self.requester_components = self.ap.discover.get_components_by_kind('LLMAPIRequester')
 
-        # 初始化token_mgr, requester
-        for k, v in self.ap.provider_cfg.data['keys'].items():
-            self.token_mgrs[k] = token.TokenManager(k, v)
-
-        for component in self.requester_components:
-            api_cls = component.get_python_component_class()
-            api_inst = api_cls(self.ap)
-            await api_inst.initialize()
-            self.requesters[component.metadata.name] = api_inst
-
-        # 尝试从api获取最新的模型信息
-        try:
-            async with aiohttp.ClientSession() as session:
-                async with session.request(
-                    method="GET",
-                    url=FETCH_MODEL_LIST_URL,
-                    # 参数
-                    params={
-                        "version": self.ap.ver_mgr.get_current_version()
-                    },
-                ) as resp:
-                    model_list = (await resp.json())['data']['list']
-
-                    for model in model_list:
-
-                        for index, local_model in enumerate(self.ap.llm_models_meta.data['list']):
-                            if model['name'] == local_model['name']:
-                                self.ap.llm_models_meta.data['list'][index] = model
-                                break
-                        else:
-                            self.ap.llm_models_meta.data['list'].append(model)
-
-                    await self.ap.llm_models_meta.dump_config()
-
-        except Exception as e:
-            self.ap.logger.debug(f'获取最新模型列表失败: {e}')
-
-        default_model_info: entities.LLMModelInfo = None
-
-        for model in self.ap.llm_models_meta.data['list']:
-            if model['name'] == 'default':
-                default_model_info = entities.LLMModelInfo(
-                    name=model['name'],
-                    model_name=None,
-                    token_mgr=self.token_mgrs[model['token_mgr']],
-                    requester=self.requesters[model['requester']],
-                    tool_call_supported=model['tool_call_supported'],
-                    vision_supported=model['vision_supported']
-                )
-                break
-
-        for model in self.ap.llm_models_meta.data['list']:
-
-            try:
-
-                model_name = model.get('model_name', default_model_info.model_name)
-                token_mgr = self.token_mgrs[model['token_mgr']] if 'token_mgr' in model else default_model_info.token_mgr
-                req = self.requesters[model['requester']] if 'requester' in model else default_model_info.requester
-                tool_call_supported = model.get('tool_call_supported', default_model_info.tool_call_supported)
-                vision_supported = model.get('vision_supported', default_model_info.vision_supported)
-
-                model_info = entities.LLMModelInfo(
-                    name=model['name'],
-                    model_name=model_name,
-                    token_mgr=token_mgr,
-                    requester=req,
-                    tool_call_supported=tool_call_supported,
-                    vision_supported=vision_supported
-                )
-                self.model_list.append(model_info)
-            
-            except Exception as e:
-                self.ap.logger.error(f"初始化模型 {model['name']} 失败: {type(e)} {e} ,请检查配置文件")
-
-    async def load_model_from_db(self):
-        """从数据库加载模型"""
-        self.llm_models = []
-
         # forge requester class dict
         requester_dict: dict[str, type[requester.LLMAPIRequester]] = {}
         for component in self.requester_components:
             requester_dict[component.metadata.name] = component.get_python_component_class()
 
+        self.requester_dict = requester_dict
+
+        await self.load_model_from_db()
+
+    async def load_model_from_db(self):
+        """从数据库加载模型"""
+        self.llm_models = []
+
         # llm models
         result = await self.ap.persistence_mgr.execute_async(
             sqlalchemy.select(persistence_model.LLMModel)
@@ -160,19 +92,36 @@ class ModelManager:
 
         # load models
         for llm_model in llm_models:
-            assert isinstance(llm_model, persistence_model.LLMModel)
-            runtime_llm_model = RuntimeLLMModel(
-                model_entity=llm_model,
-                token_mgr=token.TokenManager(
-                    name=llm_model.uuid,
-                    tokens=llm_model.api_keys
-                ),
-                requester=requester_dict[llm_model.requester](
-                    ap=self.ap,
-                    config=llm_model.requester_config
-                )
+            await self.load_model(llm_model)
+    
+    async def load_model(self, model_info: persistence_model.LLMModel | sqlalchemy.Row[persistence_model.LLMModel] | dict):
+        """加载模型"""
+        
+        if isinstance(model_info, sqlalchemy.Row):
+            model_info = persistence_model.LLMModel(**model_info._mapping)
+        elif isinstance(model_info, dict):
+            model_info = persistence_model.LLMModel(**model_info)
+
+        runtime_llm_model = RuntimeLLMModel(
+            model_entity=model_info,
+            token_mgr=token.TokenManager(
+                name=model_info.uuid,
+                tokens=model_info.api_keys,
+            ),
+            requester=self.requester_dict[model_info.requester](
+                ap=self.ap,
+                config=model_info.requester_config
             )
-            self.llm_models.append(runtime_llm_model)
+        )
+        print(runtime_llm_model, runtime_llm_model.model_entity.name, "loaded")
+        self.llm_models.append(runtime_llm_model)
+
+    async def remove_model(self, model_uuid: str):
+        """移除模型"""
+        for model in self.llm_models:
+            if model.model_entity.uuid == model_uuid:
+                self.llm_models.remove(model)
+                return
 
     def get_available_requesters_info(self) -> list[dict]:
         """获取所有可用的请求器"""