framework code has been completed basicly. Through the use of aios_shell, we are now able to get agents run able (at openai compute node)

src/aios_kernel/compute_task.py

@@ -0,0 +1,60 @@
+
+from enum import Enum
+import uuid
+import time
+
+class ComputeTaskState(Enum):
+    DONE = 0
+    INIT = 1
+    RUNNING = 2
+    ERROR = 3
+    PENDING = 4
+
+
+class ComputeTask:
+    def __init__(self) -> None:
+        self.task_type = "llm_completion"
+        self.create_time = None
+
+        self.task_id:str = None
+        self.callchain_id:str = None
+        self.params:dict = {}
+        self.refers:dict = None
+        self.pading_data:bytearray = None
+
+        self.state = ComputeTaskState.INIT
+        self.result = None
+        self.error_str = None
+
+    def set_llm_params(self,prompts,model_name,max_token_size,callchain_id = None):
+        self.task_type = "llm_completion"
+        self.create_time = time.time()
+        self.task_id = uuid.uuid4().hex
+        self.callchain_id = callchain_id
+        self.params["prompts"] = prompts.messages
+        if model_name is not None:
+            self.params["model_name"] = model_name
+        else: 
+            self.params["model_name"] = "gpt-4-0613"
+        self.params["max_token_size"] = max_token_size
+
+    def display(self) -> str:
+        return f"ComputeTask: {self.task_id} {self.task_type} {self.state}"
+
+
+class ComputeTaskResult:
+    def __init__(self) -> None:
+        self.create_time = None
+        self.task_id:str = None    
+        self.callchain_id:str = None 
+        self.worker_id:str = None
+        self.result_code:int = 0
+        self.result_str:str = None   
+
+        self.result:dict = {}
+        self.result_refers:dict = None
+        self.pading_data:bytearray = None
+
+    def set_from_task(self,task:ComputeTask):
+        self.task_id = task.task_id
+        self.callchain_id = task.callchain_id