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

25s

Input Tokens

1630

Output Tokens

171

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: The task is to determine the next action based on the provided trajectory and scratch pad. Reviewing the trajectory: the agent has received the user's request, searched emails for 'yearly company dinner', read the relevant email, extracted the event date (2025-06-15), checked for calendar conflicts (none found), and created the calendar event with a reminder 2 days before. The scratch pad indicates the current step is 'Final check', all goals are completed, notes confirm all steps successfully completed, and progress is Step 6 of 6 with 'Task complete'. According to the instructions, once a task is complete, terminate the process without notifying the user. Therefore, no further actions are needed, and the next action is to terminate.

Response: terminate