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

2500

Output Tokens

177

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 is asking me to address the missing updates for cycles 21-25 in the scratch_pad. According to the operating principles, I should immediately rectify this by updating the scratch_pad before proceeding. I need to ensure that the scratch_pad includes the current step, a brief summary of the result, remaining goals, notes and assumptions, and a progress counter like 'Step 3 of 7'. I should also remember to never use a tool with the same inputs twice, instead check in the memory tool.

Response: I should immediately update the scratch_pad to include the current step and a brief summary of the result, remaining goals, notes and assumptions, and a progress counter like 'Step 3 of 7'. I should also remember to never use a tool with the same inputs twice, instead check in the memory tool.