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

10s

Input Tokens

1746

Output Tokens

520

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: Based on the trajectory and scratch pad analysis, I can see that this is a 6-step task and we are currently at Step 6 of 6. The scratch pad clearly states 'Task complete' and 'All steps successfully completed.' All the goals have been accomplished: 1) User's preference received (reminder 2 days before), 2) Email searched and found, 3) Event date extracted (2025-06-15), 4) Calendar checked for conflicts (none found), 5) Calendar event created with reminder. The keys in memory show all relevant information is stored. According to my instructions, 'Once a task is complete you should terminate the process, no need to notify the user.'

Response: Task completed successfully. The yearly company dinner has been added to the calendar for 2025-06-15 with a reminder set for 2025-06-13 (2 days before). All goals have been accomplished and the process is now terminating.