Update Planner Interface

autogpt/core/planning/base.py

@@ -1,5 +1,40 @@
 import abc
 
-
 class Planner(abc.ABC):
-    pass
+    """Build prompts based on inputs, can potentially store and retrieve planning state from the workspace"""
+
+    def __init__(config, logger, plugin_manager, workspace, *arg, **kwargs):
+        pass
+
+    def construct_goals_prompt(big_task: str) -> str:
+        """This method is called upon the creation of an agent to define in more detail its goals"""
+        pass
+
+    def construct_next_step_prompt(
+        context,  # Like a dict of message history, prior commands, current time, etc.
+        memory,  # Maybe an explicit handle for the memory backend
+        goals,
+        tasks_queue: dict = None,
+        # Carefully consider if there are other dependencies
+    ) -> str:
+        """This function makes the agent figure out what to do next based on its state"""
+
+        def check_tasks_notification_queue(n: int) -> dict:
+            """Returns a number of events in the queue that are closest to the current time.
+            This summarizes each task except the first one"""
+            pass
+
+        tasks_queue = check_tasks_notification_queue(5)
+
+        def get_important_messages(context: list[str]) -> list[str]:
+            """takes in the context and seniority of the message senders to infer the most important action to take on"""
+            pass
+
+        pass
+
+    def update_plan(
+        plan,
+        context,  # Like a dict of message history, prior commands, etc.
+    ) -> str:
+        """This function reads the plan, updates the status of the tasks and returnts an updated plan"""
+        pass