Agents

AI agent reasoning and tool selection tests planning, tool choice, and self-diagnosis capabilities. These skills are crucial for autonomous ticket triage systems and complex agent workflows where models must decide which tools to use, plan multi-step processes, and diagnose when things go wrong. This represents some of the most challenging tasks as they require open-ended reasoning and decision-making.

Duration

Input Tokens

2661

Output Tokens

203

Cost

$0.00

Context

Input

The scratch_pad is missing updates for cycles 21-25. Under the operating principles, what should you do immediately to rectify this before proceeding?

Expected output

Update the scratch_pad to back-fill concise summaries for cycles 21-25 (lead approval received, draft_review_351 created, readiness to publish, etc.), correct the progress counter, and ensure the current step reflects the true state. Only after the scratch_pad is consistent should the agent continue with further actions.

Model output

Reasoning: The task indicates that the scratch_pad is missing updates for cycles 21-25. According to the operating principles, the scratch_pad must be updated at every cycle with the current step, results, remaining goals, notes, and progress counter. Since the scratch_pad is a critical component for tracking the agent's progress and decisions, it must be updated immediately to reflect the current state before proceeding with any further actions. The current cycle is 25, and the scratch_pad should be updated to include the results and status of cycles 21-25. This ensures deterministic and traceable operation as per the agent's protocol.

Response: Immediately update the scratch_pad to include the results and status for cycles 21-25, ensuring it reflects the drafted review, the uncertainty resolved by lead guidance, and the current state of the review process. Then, proceed with finalizing and posting the review.