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

1495

Output Tokens

315

Cost

$0.00

Context

Input

What is your next step?

Expected output

I have surpassed the maximum allowed cycles. Termination.

Model output

Reasoning: <think>
From the context provided, I understand that the user wants to add the yearly company dinner to their calendar and set a reminder a couple of days before the event. The trajectory so far includes searching the user's emails for the keyword 'yearly company dinner', identifying the correct email, and extracting the event date: 2025-06-15. It has also been verified that there are no conflicting events in the calendar for that date.

The next step would be to add the event to the calendar and set the reminder. For this, we can use the `create_event` action from the calendar tool. The necessary parameters for this action are:
- `event_name`: The name of the event, which in this case is 'yearly company dinner'.
- `date`: The date of the event, which is 2025-06-15.
- `reminder_days_before`: The number of days before the event to set a reminder. The user mentioned 'a couple days before', which typically means 2 days before.

So, the next step is to call the `create_event` action with these parameters.
</think>

Response: The next step is to add the event 'yearly company dinner' to the calendar on 2025-06-15 and set a reminder for 2 days before the event.