Opper

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.

Input Tokens

Output Tokens

Duration

Cost

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 involves addressing the missing updates for cycles 21-25 in the scratch_pad. According to the operating principles, the scratch_pad must be updated at every cycle to reflect the current step, results, remaining goals, notes, assumptions, and progress counter. Since the scratch_pad is missing updates for cycles 21-25, the immediate action should be to reconstruct these missing entries based on the available context and memory keys. This ensures continuity and compliance with the operating principles before proceeding further.

Response: Reconstruct the missing entries for cycles 21-25 in the scratch_pad using the available context and memory keys. Update the scratch_pad to reflect the current step, results, remaining goals, notes, assumptions, and progress counter for each of these cycles. Once the scratch_pad is fully up-to-date, proceed with the next steps in the review process.