making plans

todo.md

@@ -0,0 +1,22 @@
+# todo list
+[ ] create people management scenario <br />
+  -- check pay status
+  -- book work travel
+  -- check PTO levels
+  -- check insurance coverages
+  -- book PTO around a date (https://developers.google.com/calendar/api/guides/overview)? 
+  -- scenario should use multiple tools
+  -- expense management
+  -- check in on the health of the team
+[ ] demo the reasons why:
+  -- Orchestrate interactions across distributed data stores and tools
+  -- Hold state, potentially over long periods of time
+  -- Ability to ‘self-heal’ and retry until the (probabilistic) LLM returns valid data
+  -- Support for human intervention such as approvals
+  -- Parallel processing for efficiency of data retrieval and tool use
+  -- Insight into the agent’s performance
+
+[ ] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
+[ ] add in new tools? <br />
+[ ] create tests<br />
+[ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError"

workflows/agent_goal_workflow.py

@@ -42,9 +42,11 @@ class AgentGoalWorkflow:
         self.confirm: bool = False
         self.tool_results: List[Dict[str, Any]] = []
 
+    # see ../api/main.py#temporal_client.start_workflow() for how these parameters are set
     @workflow.run
     async def run(self, combined_input: CombinedInput) -> str:
         """Main workflow execution method."""
+        # setup phase
         params = combined_input.tool_params
         agent_goal = combined_input.agent_goal
 
@@ -55,18 +57,23 @@ class AgentGoalWorkflow:
         if params and params.prompt_queue:
             self.prompt_queue.extend(params.prompt_queue)
 
-        waiting_for_confirm = False
+        waiting_for_confirm = False # controls if we confirm with the user
         current_tool = None
 
+        # interactive loop
         while True:
+            # wait for signals
             await workflow.wait_condition(
                 lambda: bool(self.prompt_queue) or self.chat_ended or self.confirm
             )
 
+            #process signals of various kinds
+            #chat-end signal
             if self.chat_ended:
                 workflow.logger.info("Chat ended.")
                 return f"{self.conversation_history}"
 
+            # tool execution if selected and confirmed
             if self.confirm and waiting_for_confirm and current_tool and self.tool_data:
                 self.confirm = False
                 waiting_for_confirm = False
@@ -135,6 +142,7 @@ class AgentGoalWorkflow:
                 )
                 self.tool_data = tool_data
 
+                # move forward in the tool chain
                 next_step = tool_data.get("next")
                 current_tool = tool_data.get("tool")