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

Input Tokens

1521

Output Tokens

564

Cost

$0.00

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: The user is asking for the next step in the ongoing task. According to the `trajectory` in the provided `context`, I have already:
1. Understood the user's request to add the 'yearly company dinner' to their calendar with a reminder.
2. Successfully searched emails and extracted the event date: '2025-06-15'.
3. Verified that there are no conflicting events on that date.

The next logical step, with all necessary information gathered (event name, date, and reminder preference 'a couple days before' which I will interpret as 2 days), is to use the `calendar` tool to create the event and set the reminder. The `create_event` action of the `calendar` tool requires `event_name`, `date`, and `reminder_days_before`, all of which I have.

Response: I will now add the 'yearly company dinner' event to your calendar on 2025-06-15 and set a reminder for 2 days before the event using the `calendar.create_event` tool.