Add feature: Users can load their own downloaded agents or workflows from the myai directory.

rootfs/agents/agent_1/agent.toml

@@ -1,6 +0,0 @@
-instance_id = "agent_1"
-fullname = "tracy wang"
-
-[[prompt]]
-role = "system"
-content = "你是我的私人英文老师，和我用地道的美式英语进行交流。你会在和我交流的同时，调整我的输入成为更地道的美式句子，并根据你对我英文水平的预测，对可能发错英的单词标上音标。如果我给你发中文，说明我不知道这句话用美式英语怎么说，你依旧按上述规则回应我。"

src/aios_kernel/agent.py

@@ -317,7 +317,7 @@ class AIAgent:
             prompt.append(msg_prompt)
 
             self._format_msg_by_env_value(prompt)
-            logger.info(f"Agent {self.agent_id} do llm token static system:{system_prompt_len},function:{function_token_len},history:{history_token_len},input:{input_len}")
+            logger.debug(f"Agent {self.agent_id} do llm token static system:{system_prompt_len},function:{function_token_len},history:{history_token_len},input:{input_len}，totoal prompt:{system_prompt_len + function_token_len + history_token_len} ")
             task_result:ComputeTaskResult = await ComputeKernel.get_instance().do_llm_completion(prompt,self.llm_model_name,self.max_token_size,inner_functions)
             final_result = task_result.result_str
 

src/aios_kernel/storage.py

@@ -63,6 +63,7 @@ class UserConfig:
         except Exception as e:
             logger.warn(f"load user config from {file_path} failed!")
 
+
     async def save_to_user_config(self) -> None:
         will_save_config = {}
         for key,value in self.config_table.items():
@@ -184,3 +185,18 @@ class AIStorage:
     def put_named_object(self,name:str,obj:Any) -> None:
         pass
     
+    async def try_create_file_with_default_value(self,path:str,default_value:str):
+        if os.path.exists(path):
+            return None
+        
+        try:
+            directory = os.path.dirname(path)
+            if not os.path.exists(directory):
+                os.makedirs(directory)
+            async with aiofiles.open(path,"w") as f:
+                await f.write(default_value)
+
+        except Exception as e:
+            logger.error(f"open or create file {path} failed! {str(e)}")
+
+

src/component/agent_manager/agent_manager.py

@@ -8,6 +8,10 @@ from package_manager import PackageEnv,PackageEnvManager,PackageMediaInfo,Packag
 
 logger = logging.getLogger(__name__)
 
+default_agent_cfg = """
+main = "./"
+cache = "./.agents"
+"""
 
 class AgentManager:
     _instance = None
@@ -24,12 +28,17 @@ class AgentManager:
         self.db_path : str = None 
         self.loaded_agent_instance : Dict[str,AIAgent] = None
     
-    def initial(self) -> None:
+    async def initial(self) -> None:
         system_app_dir = AIStorage.get_instance().get_system_app_dir()
         user_data_dir = AIStorage.get_instance().get_myai_dir()
 
         self.agent_templete_env : PackageEnv = PackageEnvManager().get_env(f"{system_app_dir}/templates/templetes.cfg")
-        self.agent_env : PackageEnv = PackageEnvManager().get_env(f"{system_app_dir}/agents/agents.cfg")
+        sys_agent_env : PackageEnv = PackageEnvManager().get_env(f"{system_app_dir}/agents/agents.cfg")
+        user_agent_config_path = f"{user_data_dir}/agents/agents.cfg"
+        await AIStorage.get_instance().try_create_file_with_default_value(user_agent_config_path,default_agent_cfg)
+        self.agent_env : PackageEnv = PackageEnvManager().get_env(user_agent_config_path)
+        self.agent_env.parent_envs.append(sys_agent_env)
+
         self.db_path = f"{user_data_dir}/messages.db"
         self.loaded_agent_instance = {}
         if self.agent_templete_env is None:

src/component/package_manager/env.py

@@ -16,7 +16,7 @@ class PackageEnv:
 
         self.locked_index : str = "./pkg.lock"
         self.is_strict : bool = True
-        self.parent_envs : list[PackageEnv] = None
+        self.parent_envs : list[PackageEnv] = []
         self.index_dbs = None
 
         self.env_dir = None
@@ -56,7 +56,7 @@ class PackageEnv:
         if media_info is None:
             if search_parent is True and self.parent_envs is not None:
                 for parent_env in self.parent_envs:
-                    media_info = parent_env.load(pkg_id,cid,False)
+                    media_info = parent_env.load(pkg_id,False)
                     if media_info is not None:
                         return media_info
             

src/component/workflow_manager/workflow_manager.py

@@ -7,6 +7,11 @@ from package_manager import PackageEnv,PackageEnvManager,PackageMediaInfo,Packag
 from agent_manager import AgentManager
 logger = logging.getLogger(__name__)
 
+default_workflow_cfg = """
+main = "./"
+cache = "./.agents"
+"""
+
 class WorkflowManager:
     _instance = None
 
@@ -17,12 +22,18 @@ class WorkflowManager:
         return cls._instance
 
 
-    def initial(self) -> None:
+    async def initial(self) -> None:
         self.loaded_workflow = {}
         system_app_dir = AIStorage.get_instance().get_system_app_dir()
         user_data_dir = AIStorage.get_instance().get_myai_dir()
 
-        self.workflow_env = PackageEnvManager().get_env(f"{system_app_dir}/workflows/workflows.cfg")
+        sys_workflow_env = PackageEnvManager().get_env(f"{system_app_dir}/workflows/workflows.cfg")
+        
+        user_workflow_config_path = f"{user_data_dir}/workflows/workflows.cfg"
+        await AIStorage.get_instance().try_create_file_with_default_value(user_workflow_config_path,default_workflow_cfg)
+        self.workflow_env = PackageEnvManager().get_env(f"{user_data_dir}/workflows/workflows.cfg")
+        self.workflow_env.parent_envs.append(sys_workflow_env)
+
         self.db_file = os.path.abspath(f"{user_data_dir}/messages.db")
         if self.workflow_env is None:
             raise Exception("WorkflowManager initial failed")

src/service/aios_shell/aios_shell.py

@@ -85,8 +85,8 @@ class AIOS_Shell:
         await cal_env.start()
         Environment.set_env_by_id("calender",cal_env)
         
-        AgentManager.get_instance().initial()
+        await AgentManager.get_instance().initial()
-        WorkflowManager.get_instance().initial()
+        await WorkflowManager.get_instance().initial()
 
         open_ai_node = OpenAI_ComputeNode.get_instance()
         if await open_ai_node.initial() is not True: