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

1521

Output Tokens

887

Cost

$0.00

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: The agent has successfully completed the initial steps of the user's request. It has identified the event ('yearly company dinner'), found the date (2025-06-15) from the user's emails, and confirmed there are no scheduling conflicts. The user also specified a reminder 'a couple days before,' which the agent interpreted as 2 days. All the necessary information to fulfill the request is now available. The next logical step is to use the `calendar` tool to create the event with the collected details.

Response: Use the `calendar.create_event` tool to add the 'Yearly Company Dinner' on 2025-06-15 with a reminder set for 2 days before.