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

13s

Input Tokens

1634

Output Tokens

418

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 scratch pad indicates all six steps have been completed successfully (event created, reminder set, no conflicts). The instructions state that once the task is complete, the agent should terminate without notifying the user. Therefore no further tool calls or user prompts are needed.

Response: No further action needed; terminate the process.