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.

100
Duration
15s
Input Tokens
1635
Output Tokens
147
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 involves determining the next action for the user, whose request is to know what to do based on the current trajectory and scratch pad. According to the scratch pad, all previous steps—searching for the email, reading it, extracting the event date, checking for conflicts, and creating the calendar event with a reminder—are completed successfully. Since the current step in the scratch pad is 'Final check' and the task is marked complete with progress at step 6 of 6, the next action is to conclude the process, as no further actions are needed.

Response: The task has been completed successfully. No further action is required.