2.0 KiB
todo list
[ ] clean up workflow/make functions
[ ] make the debugging confirms optional
[ ] document why temporal for ai agents - scalability, durability, visibility in the readme
[ ] fix readme: move setup to its own page, demo to its own page, add the why /|\ section
[ ] add architecture to readme
- elements of app
- dive into llm interaction
- workflow breakdown - interactive loop
- why temporal
[ ] setup readme, why readme, architecture readme, what this is in main readme with temporal value props and pictures
[ ] how to add more scenarios, tools
[ ] create tests
[ ] create people management scenario
- 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
- 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
[ ] add in new tools?
[ ] non-retry the api key error - "Invalid API Key provided: sk_test_**J..." and "AuthenticationError"
[ ] make it so you can yeet yourself out of a goal and pick a new one
[ ] add visual feedback when workflow starting