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

19s

Input Tokens

1634

Output Tokens

1275

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: High-level summary: I reviewed the scratch pad and current_cycle, which show that goals are completed and the task is finished. The next action in such a workflow is to terminate without further user notification. I provided a brief rationale instead of detailed chain-of-thought.

Response: No further action is required. The trajectory and scratch pad indicate the task is complete (Step 6 of 6). Per the instructions, terminate the process and do not notify the user of additional actions.