STATE AND CONTROL FLOW

PRACTICE LAB CONNECTION In Chapter 66 you will add checkpointing to the Resume Review Agent. The agent's state container will hold the list of resumes done and remaining, and checkpoint files will be written to disk after each resume. Test the prompts below against your lab's state container and checkpoint files. ARTIFICIAL INTELLIGENCE ASSISTANT PROMPTS [START OF PROMPT] Design a state schema and checkpointing strategy for this agent: [TASK/AGENT DESCRIPTION, e.g. Resume Review Agent processing a folder of resumes]. Specify exactly what fields belong in the state object, at which points in the loop a checkpoint should be written, and what a rollback would restore versus lose. Then review this existing state/checkpoint code for gaps: [PASTE LAB state.py / checkpoint FILE HERE]. Output format: schema definition, checkpoint-trigger list, then a gap-review table (Issue, Risk, Fix). [END OF PROMPT] [START OF PROMPT] Design a human-in-the-loop pause-and-resume mechanism for this agent and action set: [AGENT DESCRIPTION, ACTIONS THAT SHOULD PAUSE FOR APPROVAL]. Specify the exact trigger conditions, the minimum information the reviewer needs to decide quickly, and the fallback behavior if no human responds within [TIMEOUT]. Then stress-test the design against this edge case: [EDGE CASE DESCRIPTION] and revise it. Output format: design spec, then a revised version addressing the edge case. [END OF PROMPT]