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 explicitly states that the `scratch_pad` is missing updates for cycles 21-25. I need to refer to the 'Scratch_pad protocol' section within the provided instructions. This protocol states: 'At every cycle, ensure the **scratch_pad** includes: - Current step and a brief summary of the result - Remaining goals - Notes and assumptions - Progress counter like “Step 3 of 7”'. The context provides a detailed `trajectory` of actions taken during cycles 1-24, and indicates the `current_cycle` is 25. Therefore, to rectify the missing updates immediately and before proceeding, I must update the `scratch_pad` to reflect the activities and state of cycles 21 through 25, as per the protocol, by synthesizing the information from the trajectory.

Response: Immediately update the `scratch_pad` to include the current step, a brief summary of the results, remaining goals, notes, and assumptions for cycles 21, 22, 23, 24, and the current state of cycle 25, following the 'Scratch_pad protocol' outlined in the operating principles. This involves documenting the drafting of the review, the uncertainty leading to `request_user_input`, the waiting period, and the receipt of the lead's answer, and then noting the current state of being ready to finalize the review.