more stuff done

todo.md

@@ -1,47 +1,33 @@
 # todo list
-[x] clean up workflow/make functions
-
-[x] make the debugging confirms optional <br />
 [ ] add confirmation env setting to setup guide <br />
  <br />
-[x] document *why* temporal for ai agents - scalability, durability, visibility in the readme <br />
-[x] fix readme: move setup to its own page, demo to its own page, add the why /|\ section <br />
-[x] add architecture to readme <br />
-- elements of app <br />
-- dive into llm interaction <br />
-- workflow breakdown - interactive loop <br />
-- why temporal <br />
-
-[x] setup readme, why readme, architecture readme, what this is in main readme with temporal value props and pictures <br />
 [ ] how to add more scenarios, tools <br />
 
 [ ] create tests<br />
 [ ] fix logging statements not to be all warn, maybe set logging level to info
 
 [ ] create people management scenarios <br />
-[x] 1. Schedule PTO goal
--- [ ] check current PTO level <br />
--- [ ] determine PTO available as of date <br />
--- [ ] check for personal, team, or both calendar conflicts <br />
--- [ ] book PTO around a date (send calendar invite?) (https://developers.google.com/calendar/api/guides/overview)? <br />
+
 [ ] 2. Others:
 -- check pay status <br />
 -- book work travel <br />
 -- check insurance coverages <br />
 -- expense management <br />
 -- check in on the health of the team <br />
+-- check pto
 
-[ ] demo the reasons why: <br />
+[x] demo the reasons why: <br />
 - Orchestrate interactions across distributed data stores and tools <br />
 - Hold state, potentially over long periods of time <br />
 - Ability to ‘self-heal’ and retry until the (probabilistic) LLM returns valid data <br />
 - Support for human intervention such as approvals <br />
 - Parallel processing for efficiency of data retrieval and tool use <br />
-- Insight into the agent’s performance <br />
-    - ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return
 
-[ ] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
-[ ] add in new tools? <br />
+[ ] ask the ai agent how it did at the end of the conversation, was it efficient? successful? insert a search attribute to document that before return
+- Insight into the agent’s performance <br />
+
+[x] customize prompts in [workflow to manage scenario](./workflows/tool_workflow.py)<br />
+[x] add in new tools? <br />
 
 [ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError" <br />
 [ ] make it so you can yeet yourself out of a goal and pick a new one <br />