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

1697

Output Tokens

127

Cost

$0.00

Context

Input

Looking at the trajectory and the scratch pad, what is the next action?

Expected output

The task is complete, the agent process will end

Model output

Reasoning: From the trajectory and scratch pad, all required steps have already been completed: the relevant email was found and read, the event date (2025-06-15) was extracted, calendar conflicts were checked (none), and the calendar event was created with a reminder 2 days before. The scratch pad indicates Step 6 of 6 and 'Task complete.' Therefore, no further tool actions are needed; the correct next action is to terminate/end the process.

Response: Terminate the process (no further action needed; event and reminder have already been created).